Next Article in Journal
Building a Health Literacy Indicator from Angola Demographic and Health Survey in 2015/2016
Previous Article in Journal
PM-Bound Polycyclic Aromatic Hydrocarbons and Nitro-Polycyclic Aromatic Hydrocarbons in the Ambient Air of Vladivostok: Seasonal Variation, Sources, Health Risk Assessment and Long-Term Variability
Previous Article in Special Issue
Snacking on Almonds Lowers Glycaemia and Energy Intake Compared to a Popular High-Carbohydrate Snack Food: An Acute Randomised Crossover Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Effects of Hazelnut Consumption on Cardiometabolic Risk Factors and Acceptance: A Systematic Review

Department of Human Nutrition, University of Otago, Dunedin 9054, New Zealand
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(5), 2880; https://doi.org/10.3390/ijerph19052880
Submission received: 30 November 2021 / Revised: 28 January 2022 / Accepted: 12 February 2022 / Published: 1 March 2022
(This article belongs to the Special Issue Nuts and Human Health)

Abstract

:
Despite being rich sources of monounsaturated fat and a number of vitamins, minerals, and phytonutrients, hazelnuts have received less attention than some other nut types. A qualitative systematic review was carried out to determine the effects of hazelnut consumption on acceptance and markers of cardiometabolic health, including blood lipids and lipoproteins, apolipoproteins A1 and B100, body weight and composition, blood pressure, glycemia, antioxidant status, oxidative stress, inflammation, and endothelial function. In total, 22 intervention studies (25 publications) met our inclusion criteria. The findings indicate some improvements in cardiometabolic risk factors; however, limitations in study design mean interpretation is problematic. The inclusion of hazelnuts in the diet did not adversely affect body weight and composition. Acceptance of hazelnuts remained stable over time confirming nut consumption guidelines are feasible and sustainable. Future studies using more robust study designs in a variety of populations are required to draw more definitive conclusions on the health benefits of hazelnut consumption.

1. Introduction

Observations from large cohort studies indicate regular nut consumption is associated with a reduction in the risk of total mortality and a number of chronic diseases, such as cardiovascular disease and certain cancers [1,2,3]. Studies on diabetes, hypertension, and stroke are equivocal, with the majority showing no significant associations [4,5,6,7]. Although nuts are high in energy and fat, observational studies report that nut consumers are leaner than non-nut consumers [8,9]. Additionally, longitudinal studies report nut consumption is associated with a lower risk of overweight and obesity, weight gain, and deposition of abdominal adiposity [10,11].
Randomised controlled trials have shown improvements in risk factors of chronic disease with regular nut consumption. For example, total cholesterol and low-density lipoprotein cholesterol (LDL-C) are consistently lowered by regular nut consumption, with reductions more pronounced in those with elevated cholesterol concentrations [12,13,14]. Findings on blood pressure and biomarkers of oxidation, inflammation, and endothelial function are mixed, with some showing positive effects, while others report no effect [13,15,16,17,18]. In support of observational studies, intervention studies have found that adding nuts to the usual diet results in no weight gain or less than expected weight gain given the additional calories provided by nuts [11,19].
Despite being the second-largest nut produced worldwide, hazelnuts have received less attention regarding their health benefits than some other nut types [20,21]. Hazelnuts are high in monounsaturated fats and are a source of fibre, vitamin E, folate, potassium, copper, manganese, phosphorous, magnesium, and phytosterols [21]. They also contain high amounts of flavonoids and phenolic compounds, especially in their skin [22,23].
While there are many recent comprehensive systematic reviews and meta-analyses on the health effects of almonds [24], cashews [25], pistachios [26,27], and walnuts [28,29,30], only one systematic review and meta-analysis has reviewed the evidence on hazelnuts. This review published in 2016 reported the effects of hazelnut consumption on blood lipids and body weight [31]. Only three of the nine studies included in this review were randomised controlled trials. The meta-analysis of these three studies showed a significant reduction in LDL-C and a tendency for a reduction in total cholesterol, but no significant changes in high-density lipoprotein cholesterol (HDL-C), triglycerides (TAG), or body mass index (BMI).
We aimed to extend this review to include studies that have been published since its publication and to expand the outcomes to also include apolipoproteins, blood pressure, glycaemic response, acceptance, and markers of inflammation, oxidation, and endothelial function.

2. Materials and Methods

2.1. Search Strategy

The protocol for this systematic review was registered with PROSPERO (registration number CRD42020203171). Medline (via Ovid), PubMed, Scopus, and Google Scholar databases were searched on 29 July 2020. The search was updated on 28 November 2021, but no further studies meeting our eligibility criteria were identified. The search strategy was limited to human studies and articles written in the English language. Reference lists from publications identified by our searches were manually searched to identify relevant research not found in the database searches. Search terms are outlined in Supplementary Material Table S1.
Study selection was then conducted by SLT and RB using Rayyan [32], and any disagreements were resolved by consultation.

2.2. Inclusion and Exclusion Criteria

Studies were included if they met the following criteria: were intervention studies in human participants, included hazelnuts, and evaluated at least one of the study outcomes (see Table 1). Studies were excluded if they were non-English language, reviews, expert opinions, theses, animal, or in vitro studies, if the independent effects of hazelnuts could not be assessed, or if hazelnut oil was used as the test food. Our PICOS statement is outlined in Table 1.

2.3. Data Extraction

Data extracted included authors, year, study design, participant characteristics, intervention period, treatments (including dose), and outcomes.

2.4. Study Quality

This review was undertaken using the principles outlined in the PRISMA 2020 statement [33]. The risk of bias for each study was assessed by all authors using the Cochrane Collaboration Risk of Bias Tool for randomised controlled intervention studies [34] and the Risk of Bias in Non-Randomised Studies—of Interventions (ROBINS-I) for non-randomised intervention studies [35].
The Cochrane Collaboration Risk of Bias Tool considers the following domains: selection bias, reporting bias, performance bias, detection bias, attrition bias, and any other identified biases [34]. Each domain was classified as low, high, or unclear risk of bias. Studies with low risk for ≤one domain were classified as poor, studies with a low risk of bias for two domains were classified as fair, and studies with a low risk of bias in at least three domains were classified as good.
The ROBINS-I tool considers bias in the following domains: confounding, selection of study participants, classification of interventions, deviations from intended interventions, missing data, measurement of outcomes, selection of reported results [35]. Each domain was classified as low, moderate, serious, or critical. Studies for low risk of bias for all domains were classified as low, studies with low or moderate risk of bias for all domains were classified as moderate, studies with serious risk of bias in at least one domain, but not at critical risk of bias in any domain were classified as serious, and studies with critical risk of bias in at least one domain were classified as critical.

3. Results

The search criteria returned a total of 787 articles. A total of 475 were excluded as duplicates. After abstract review, 58 were included for review. After retrieval of the selected papers, 25 papers (22 studies) were included in the present review (Figure 1). Seven of the studies were conducted in New Zealand, seven in Italy, six in Turkey, one in Iran, and one in the USA.

3.1. Risk of Bias

The quality of the methods for the studies is presented in Table 2 and Table 3. Overall, 10 randomised trials were rated as good, one as fair, and one as poor (Table 2). For non-randomised trials, the overall risk of bias for two studies was rated as moderate, and eight were rated as critical (Table 3).

3.2. Blood Lipids and Lipoproteins

In total, 17 studies examined the effects of hazelnut consumption on blood lipids and lipoproteins (Table 4). Different study designs included: randomised parallel (n = 6), randomised crossover (n = 2), sequential (n = 2), double control sandwich (n = 2), and single intervention (n = 5). Interventions ranged in duration from 2 to 16 weeks. Sample sizes ranged from 15 to 118 and were heterogeneous in nature. For example, nine samples comprised healthy participants, five included those with hyperlipidaemia (including one with children), two included those with type 2 diabetes, and one specifically recruited people with overweight or obesity.
Nine studies compared hazelnut consumption to a no-nut control. Of these, two reported significantly lower total cholesterol and LDL-C [57,58], and three reported significantly higher HDL cholesterol [36,38,57] in the hazelnut group compared to the control. Only one study reported a significant reduction in TAG in the hazelnut group compared to the control [57]. Four studies reported no significant differences in any of the outcomes [39,45,47,50].
Two studies included a hazelnut and high carbohydrate treatment. Alphan et al. [51] reported significant decreases in total and LDL-C in the hazelnut group, with significant increases in LDL-C in the high carbohydrate group. However, they failed to report between-group differences. Mercanligil et al. [55] reported significantly higher HDL-C in the hazelnut group compared to the high carbohydrate control.
Of the single intervention studies, three observed reductions in total cholesterol [53,54,60], four in LDL-C [53,54,56,60], while one reported an increase in HDL-C [54], and one an increase in TAG [54].
Two randomised crossover studies compared different forms of hazelnuts. One study compared ground vs. sliced vs. whole nuts [43]. There were no significant differences between treatments, but all three forms were associated with significant reductions in total cholesterol and LDL-C, and significant increases in HDL-C. A further study compared raw vs. roasted hazelnuts [49]. HDL-C was significantly higher following raw hazelnuts, while TAG was significantly lower following the roasted hazelnuts. There were no between-group differences for total cholesterol and LDL-C. Within-group, changes included a significant decrease in LDL-C and a significant increase in HDL-C with raw hazelnut consumption.
Overall, 9 (4 RCTs, 3 single arm, 2 different forms) and 10 (4 RCTs, 4 single arm, 2 different forms) of the 16 studies reported statistically significant reductions in total and LDL-C with hazelnut consumption, respectively. For HDL-C, 7 (4 RCTs, 1 single intervention, 2 different forms) studies reported statistically significant increases. Two (1 RCT, 1 different forms) studies reported significant reductions in TAG while 1 (single intervention) reported a significant increase.

3.3. Apolipoproteins A and B

Eight studies examined the effects of hazelnut consumption on apolipoproteins (apo) A and B (Table 5). Study design included randomised parallel (n = 1), randomised crossover (n = 2), sequential (n = 2), double control sandwich (n = 1), and single intervention (n = 2). Most of the studies were 4 weeks in duration, with one being 2 weeks and one 12 weeks. Sample sizes ranged from 15 to 107 participants. Three studies included healthy participants, three included those with hyperlipidaemia (including mild hyperlipidaemia), one included those with type 2 diabetes, and one specifically recruited people with overweight or obesity.
Two studies compared hazelnut consumption to a no-nut control [47,57]. Tey et al. compared the consumption of two doses of hazelnuts (30 g and 60 g) to a no-nut control in a parallel study [47]. There were no between-group differences. Orem et al. [57] used a double control sandwich model intervention design. Apo A significantly increased after the hazelnut period compared to control I and decreased again after control period II compared to the hazelnut period. Apo B significantly increased after control period II compared to the hazelnut period.
Two studies included a hazelnut and high carbohydrate group using a sequential design [51,55]. Alphan et al. did not report between-group differences, and there were no statistically significant within-group changes [51]. Mercanligil et al. reported no significant differences between the diet groups [55].
Of the single intervention studies, Yucesan et al. reported a significant increase in apo A and a significant decrease in apo B [60], while Tey et al. reported no significant changes [59].
Two studies compared different forms of hazelnuts. Tey et al. showed no significant differences in apo A or B between ground, sliced, and whole nuts, but all three forms were associated with significant reductions in apo B [43]. In a further study, they reported no significant differences for raw versus roasted hazelnuts, but both forms significantly increased apo A compared to baseline [49].
Overall, three of the eight studies reported a significant increase in apo A, and four reported a significant reduction in apo B with hazelnut consumption.

3.4. Body Weight and Composition

In total, 17 studies examined the effects of hazelnut consumption on body weight and composition (Table 6). Study designs included: randomised parallel (n = 5), randomised crossover (n = 2), sequential (n = 3), double control sandwich (n = 2), and single intervention (n = 5). Interventions ranged in duration from 4 to 16 weeks. Sample sizes ranged from 15 to 118 and were heterogeneous in nature. For example, nine comprised healthy participants, five included those with hyperlipidaemia (including one with children), two included those with type 2 diabetes and one specifically recruited people with overweight or obesity.
Ten studies compared hazelnut consumption to a no-nut control. Of these, one study, a sequential intervention study, reported a significant increase in hip circumference and lean body mass, and a significant reduction in fat mass, after the hazelnut diet compared to the standard diet [52]. Nine studies found no significant differences between-groups for any outcome, and one failed to report between-group differences [51]. Of the single intervention studies, one reported a reduction in abdominal circumference [53], and one reported an increase in BMI from baseline [56]. Three studies compared different forms of hazelnuts. One study compared hazelnuts with and without skin [39], one study compared ground vs. sliced vs. whole hazelnuts [43], and a third study compared raw vs. roasted hazelnuts [49]. None of these studies reported any change in body composition.

3.5. Blood Pressure

In total, seven studies examined the effects of hazelnut consumption on blood pressure (Table 7) [39,47,49,50,53,56,59]. Different study designs included: randomised parallel (n = 3), randomised crossover (n = 1), and single intervention (n = 3). Interventions ranged in duration from 4 to 16 weeks. Sample sizes ranged from 24 to 107 and were heterogeneous in nature. For example, four samples comprised healthy participants, one comprised obese women with hyperlipidaemia, one comprised children and adolescents with hyperlipidaemia, and one specifically recruited people with overweight and obesity.
Three studies compared hazelnut consumption to a no-nut control group [39,47,50], and two compared the consumption of different forms of hazelnuts [39,49]. None of these studies reported significant differences between treatments. Similarly, two single intervention studies reported no significant change in blood pressure following hazelnut consumption [53,56], and one single intervention reported a significant reduction in systolic blood pressure in the total cohort (combining Māori and European participants) [59].

3.6. Glycaemia

Nine studies examined glycaemia as an outcome, including one acute study (Table 8). The acute study measured 2 h incremental area under the curve (iAUC) for blood glucose in response to four breads containing no nuts, 30 g of finely sliced nuts, 30 g of defatted hazelnut flour, or 15 g of finely sliced nuts and 15 g of defatted hazelnut flour [40]. The iAUC for blood glucose was significantly lower for all hazelnut-containing breads compared to the no-nut bread.
The longer-term studies used a number of different indices to measure glycaemia. These included glycated haemoglobin (HbA1), fasting blood glucose (FBG), post-prandial blood glucose, fasting insulin, postprandial insulin, and the homeostasis model-insulin resistance (HOMA-IR).
Seven studies examined FBG concentrations. Only one study using a single intervention design showed a significant reduction in FBG [56].
Insulin concentrations were reported in four studies. Orem et al. reported that there was no significant difference in fasting insulin levels between the hazelnut-enriched diet and no nut control diet [57]. In addition, Adamo et al. reported that fasting insulin levels remained stable among those consuming 30 g of peeled hazelnut paste, 30 g of unpeeled hazelnut paste, or 30 g of peeled hazelnuts for breakfast for 2 weeks [36]. Actual changes in insulin were not presented, and no information on insulin levels in other groups receiving a cocoa snack, a combination of cocoa and 30 g peeled hazelnuts, and a no nut control was provided. Two other studies only assessed within-group differences and reported no significant changes in fasting or postprandial insulin concentrations [51,56].
Only one study measured HbA1c, and it should be noted that the intervention was only for 30 days [51]. This study used a sequential design with a high carbohydrate diet and hazelnut diet among 19 people with type 2 diabetes. Between-group differences were not reported, but there was a significant reduction in HbA1c in the hazelnut group.
Two studies assessed insulin resistance using HOMA-IR [36,57]. Adamo et al. did not report specific values, only commenting that HOMA-IR remained stable among those consuming 30 g of peeled hazelnut paste, 30 g of unpeeled hazelnut paste, or 30 g of peeled hazelnuts for breakfast for 2 weeks [36]. Orem reported non-significant differences in HOMA-IR between the hazelnut treatment and no-nut control in their sandwich model study [57].
Overall, the one acute study showed a reduction in iAUC for blood glucose with consumption of hazelnut in a carbohydrate-rich [40]. In studies with a longer intervention, only one of six studies reported lower FBG with hazelnut consumption. Three studies that assessed fasting and/or postprandial insulin showed no significant reductions with hazelnut consumption. One study reported reductions in HbA1c with hazelnut consumption among people with diabetes. Two studies that assessed HOMA-IR reported no significant differences with hazelnut consumption.

3.7. Inflammation, Oxidation, and Endothelial Function

Sixteen studies have examined the effects of hazelnut consumption on antioxidant status and/or markers of inflammation, oxidative stress, and/or endothelial function (Table 9).
Nine studies assessed antioxidant status, with two studies reporting upregulation in the expression of genes involved in antioxidant and/or anti-inflammator pathways with hazelnut consumption [52,53]. A further three single intervention studies reported increased antioxidant markers [54,56,60]. Michels et al. reported improvements in some but not all outcomes [56]. Two studies reported no significant differences in alpha-tocopherol after consuming different forms of hazelnuts [43,49], although there was evidence of increases from baseline. A further three studies reported mixed results, with one reporting positive results [57] and two showing no differences between groups [37,47].
One acute study [41] and one chronic study (4 weeks) [52] reported a reduction in oxidised LDL after consuming 40 g of hazelnuts, compared to meals without nuts. A further single intervention reported significant reductions in oxidised LDL compared to baseline [60]. Conversely, there are mixed results when nut interventions are compared to no nut controls. Orem et al. reported significant reductions on oxidised LDL after consuming a hazelnut enriched diet. A further single intervention reported significant decreases in plasma malondialdehyde (MDA) [54]. Conversely, Guaraldi (2018) showed no significant differences in oxidised LDL, DNA strand breaks, and H2O2 DNA damage, while formamidopyrimidine DNA glycosylase (FPG)-sensitive sites in PBMCs were reduced significantly when hazelnut consumption was compared to a no nut control.
Seven studies looked at the effects of hazelnut consumption on inflammatory markers such as CRP and interleukin-6, with six studies (three RCTs and three single intervention studies) reporting no improvement in inflammatory markers [36,37,47,56,59,60] and one reporting a significant reduction in CRP [57].
One study reported significant increases in peak systolic velocity (PSV) with hazelnut consumption compared to the control group [36]. Mercanligil reported no significant differences in endothelial function measured by doppler ultrasound [55], whereas Orem showed significant improvements [57]. Two RCTs assessed intracellular adhesion molecule-1 (ICAM-1) and vascular adhesion molecule-1 (VCAM-1) [47,57]. Orem showed significant improvements in both markers with 49 to 86 g/d of hazelnuts among people with hypercholesterolaemia [57], whereas Tey et al. showed no significant differences with 30 to 60 g/d of hazelnuts among people with overweight and obesity [47].

3.8. Sensory Acceptance

Seven studies have measured the effects of repeated consumption of hazelnuts on the desire to consume and overall liking using 100 mm or 150 mm visual analogue scales with exposure ranging from 5 to 84 days (Table 10). Both ratings remained stable over time, except for one dose-response study [47]. This study showed the desire to consume ratings increased over time with 30 g/d of hazelnuts for 12 weeks, whereas the desire to consume and overall liking ratings decreased over time for the 60 g/d groups.
Several studies compared different forms of hazelnuts [40,44,48,49]. Devi et al. incorporated different forms of hazelnuts into bread. Desire to eat and overall liking ratings from highest to lowest were: bread containing 30 g finely sliced hazelnuts, bread containing 15 g finely sliced hazelnuts, and 15 g of defatted hazelnut flour, control bread containing no nuts, and bread containing 30 g defatted hazelnut flour [40].
A further two studies reported desire to consume, and overall liking ratings were highest for whole hazelnuts, followed by sliced hazelnuts, and ground hazelnuts had the lowest ratings [44,48].
One study compared acceptance ratings for raw hazelnuts with dry roasted, lightly salted hazelnuts. Both forms of hazelnuts were equally liked [49].
One study compared isocaloric amounts of hazelnuts (42 g/d) with chocolate (50 g/d) and potato crisps (50 g/d). The liking ratings for hazelnuts remained stable over time, whereas the ratings for both chocolate and potato crisps declined significantly [46].

4. Discussion

Overall, we identified 22 studies (25 papers) that examined the effects of hazelnut consumption on at least one of the outcomes of interest. Many of the studies suffered from methodological flaws, including lack of randomisation, lack of a control group, small samples, short duration, lack of between-group analyses, and poor reporting of findings. These factors may account for some of the inconsistent findings. One finding that was consistent with previous literature on other nut types is the null effect on body weight. In addition, overall liking and desire to consume ratings remained stable over time, suggesting hazelnuts are resistant to monotony.
Only 9 of the 17 studies, which examined blood lipids and lipoproteins, reported between-group differences. Of these, only two studies [57,58] reported significant reductions in total and LDL-C with hazelnut consumption. Four studies also reported significantly higher HDL-C concentrations with hazelnut consumption when compared to a non-nut control [36,38,57] or a high carbohydrate diet [55]. Orem et al. also reported a significant increase in apo A [57]. Only one study reported a significant decrease in TAG [57]. The sample sizes for each treatment were small, ranging from 10 to 25. This reduces the power to detect significant differences.
Two randomised crossover studies with larger samples (n = 48 to 72) compared different forms of hazelnuts and reported no significant differences in lipoprotein profiles. However, compared to baseline, hazelnut consumption significantly reduced total cholesterol, LDL-C, and apo B, and significantly increased HDL-C and apo A [43,49].
Several meta-analyses have reported significant improvements in blood lipids and apolipoprotein profiles with nut consumption [12,13,14]. The magnitude of the effect was greater among those with higher baseline concentrations and those with healthy body weight. There was also evidence of a dose-response relationship. In the present review, the majority of studies reported some improvement in at least one lipid parameter, with no studies reporting adverse effects. A meta-analysis of three RCTs found that hazelnut-enriched diets were associated with a reduction in total cholesterol and LDL-C, with no changes in HDL-C or TAG [31]. This suggests that similar to other nut types, hazelnuts can be incorporated into a cardioprotective diet.
A total of 17 studies examined body composition, including body weight; BMI; waist, abdominal, and hip circumference; fat mass; and lean body mass. Except for one small single-intervention study among older adults, which showed a small but significant increase in body weight [56], the remainder of the studies among adults consistently reported no statistically or practically significant changes in body weight and composition as a result of adding hazelnuts to the diet. This is irrespective of study design, study population, study duration, and dose of hazelnuts. This was still apparent when there was no dietary advice to make substitutions. This is in agreement with a recent meta-analysis, which showed a nut-enriched diet did not result in weight gain either with or without instructions on dietary substitutions [19]. One study among children showed a time effect where there was an increase in both body weight and height. However, this did not differ between the hazelnut groups and the no-nut control. In two studies, favourable changes in body composition were seen among healthy participants [52,53].
These findings are consistent with other studies, which have found no evidence of weight gain in the short-term following the addition of nuts to the diet [11,19,61]. In addition, a meta-analysis of three RCTs reported no change in body weight with hazelnut consumption [31]. Possible metabolic mechanisms for this lack of weight gain include higher metabolic rate due to the high unsaturated fat content of nuts, reduced lipid bioaccessibility and higher faecal losses of lipids due to the incomplete mastication and intact cell wall of whole nuts [62]. A further possible mechanism is increased satiety, which is influenced by a number of properties found in nuts, such as the fibre and protein content, and crunchy texture, which leads to increased oral exposure time and reduced post-prandial drive for food [11,63]. Our review agrees with previous research on different nut types [11,19,24,64] and suggests that hazelnuts can be added to the diet without fear of adverse weight gain.
Seven studies measured blood pressure [39,47,49,50,53,56,59]. No significant changes to blood pressure were found as a result of adding hazelnuts to the diet. One study that included lightly salted nuts reported no significant differences in blood pressure when compared to raw, unsalted nuts. This is consistent with current literature where the effect of nut consumption on blood pressure remains equivocal, but there are suggestions of potential benefits in some sub-groups such as those with hypertension or among those without type 2 diabetes [65,66]. In addition, some nut types may be more effective, with a meta-analysis suggesting pistachios may be effective at reducing blood pressure [26,66]. The null finding is perhaps not unexpected, given the studies in the current review were conducted in relatively normotensive participants.
Nine studies measured some aspects of glycaemia, including fasting blood glucose, HbA1c, post-prandial blood glucose, fasting insulin, postprandial insulin, HOMA-IR, and iAUC for blood glucose. Consuming hazelnuts as part of a carbohydrate-rich food resulted in attenuation in blood glucose response over 2 h [40]. This has been seen in previous nut studies—including almonds [67,68] among healthy populations and pistachios among people with metabolic syndrome [69].
Longer-term studies in individuals with normoglycaemia showed no practical benefits from hazelnut consumption on glycaemic control. However, a single intervention among people with type 2 diabetes reported a reduction in HbAlc over 30 days [51]. It should be noted that both studies, which included people with type 2 diabetes, showed no improvements in fasting blood glucose concentrations. The mixed results are consistent with studies examining different types of nuts. Several studies have shown a lack of positive effects on glycaemia for nuts, including walnuts, almonds, and cashews [25,30,70]. In agreement with Alphan et al., a meta-analysis suggested that there may be improvements in HbA1c among people with diabetes. Collectively, the results from our review suggest that while the addition of hazelnuts to meals acutely attenuates glycaemic response, the long-term effects are less clear and require further investigation among healthy populations and those with type 2 diabetes.
Hazelnuts are rich in antioxidants [71,72,73]. Most of the studies reported increases in antioxidant status, but this was not consistently translated into improvements of biomarkers of oxidative stress. Studies assessed different biomarkers, had relatively small samples and used different study designs and analytical methods. Previous reviews have also produced heterogenous findings [18,74], making it challenging to form definitive conclusions on the effects of nut consumption on oxidative stress.
Six of the seven studies which examined inflammation reported no improvements. This lack of change in inflammatory markers with nut consumption, in general, was seen in previous systematic reviews and meta-analyses [75,76]. A meta-analysis of inflammatory markers, which conducted sub-group analyses, suggested improvements were seen in studies where the duration was 12 weeks and greater [17].
Five studies assessed some form of endothelial function, with three reporting improvements in outcomes and two showing no effects. Most meta-analyses on biomarkers of endothelial function report no effects with nut consumption. Those which measure flow-mediated dilation (FMD) report more favourable outcomes [76,77], especially for walnuts [16,29].
Overall, there was evidence that hazelnut consumption can improve some markers of cardiometabolic health. These beneficial effects are likely driven by the nutrient composition of hazelnuts. Several studies have reported improvements in diet quality with the addition of hazelnuts to the diet. There is evidence of higher intakes of unsaturated fat, fibre, vitamin E, potassium, and lower intakes of carbohydrate and sodium [43,47,49,78].
In addition to assessing the health effects of nut consumption, it is equally important to examine the acceptability of nuts over time. This is because to exert their health benefits, nuts must be consumed regularly and in sufficient quantities. Only one group has assessed long-term acceptance for hazelnuts. Collectively, the hazelnuts studies have reported sustained acceptance up to 12 weeks with doses of 30 to 42 g/d. One study showed a dose of 60 g/d resulted in a decline in liking with repeated consumption, a phenomenon known as monotony [47]. Future studies should assess acceptance over longer periods. Several studies examined different forms of hazelnuts, including whole, sliced, and ground, as well as raw versus dry roasted, lightly salted [40,44,48,49]. All forms of hazelnuts were resistant to monotony. A further study compared three popular energy-dense snack foods—hazelnuts, chocolate, and potato crisps. Ratings of overall liking remained stable over 12 weeks for hazelnuts but declined significantly for the other two snack foods [46]. Overall, these results suggest that dietary guidelines to consume one serving of nuts (30 to 42 g) on a regular basis are achievable and sustainable. Given that different forms of hazelnuts were equally liked, we can recommend the inclusion of different forms of nuts based on individual preference. This provides increased choice for consumers, enhancing adherence to advice to consume nuts regularly as part of a cardioprotective diet.
Studies, which have estimated the impact of substituting nuts for less healthful foods, have shown large reductions in mortality from cardiovascular disease [79,80]. In addition, a recent study reported that the total annual costs of cardiometabolic disease related to a suboptimal diet were $301 per person. Among the 10 dietary factors examined in this study, a low intake of nuts or seeds was found to impose the largest cardiometabolic disease economic burden at $81 per person [81]. Therefore, a small gradual diet change has the potential to reduce the risk of chronic disease. It seems prudent for healthcare professionals to promote the intake of healthy food such as nuts as part of a cardioprotective diet [82].

5. Conclusions

This comprehensive systematic review has reported the effects of hazelnut consumption on a wide range of outcomes. The findings show some improvements in cardiometabolic risk factors, but limitations in study design make interpretation difficult. However, there was consistent evidence that the inclusion of hazelnuts into the diet did not adversely affect body weight and composition. In addition, acceptance of hazelnuts remained stable over time, suggesting nut consumption guidelines are achievable and sustainable. Overall, none of the studies reported evidence of adverse outcomes, and thus the balance of the research suggests the benefits of hazelnut consumption outweigh any potential negative effects. This was apparent among populations that included healthy participants, as well as those with hyperlipidaemia, type 2 diabetes, overweight, and obesity. Future studies should use more robust study designs, including larger sample sizes, careful selection of biomarkers, and appropriate control groups.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijerph19052880/s1, Table S1: Search terms.

Author Contributions

Conceptualization, R.B. and S.L.T.; methodology, R.B., L.W. and S.L.T.; validation, R.B., L.W. and S.L.T.; investigation, R.B., L.W. and S.L.T.; writing—original draft preparation, R.B., L.W. and S.L.T.; writing—review and editing, R.B., L.W. and S.L.T. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Becerra-Tomás, N.; Paz-Graniel, I.; Kendall, C.W.C.; Kahleova, H.; Rahelić, D.; Sievenpiper, J.L.; Salas-Salvadó, J. Nut consumption and incidence of cardiovascular diseases and cardiovascular disease mortality: A meta-analysis of prospective cohort studies. Nutr. Rev. 2019, 77, 691–709. [Google Scholar] [CrossRef] [PubMed]
  2. Ros, E.; Singh, A.; O’Keefe, J.H. Nuts: Natural pleiotropic nutraceuticals. Nutrients 2021, 13, 3269. [Google Scholar] [CrossRef] [PubMed]
  3. Zhang, D.; Dai, C.; Zhou, L.; Li, Y.; Liu, K.; Deng, Y.-J.; Li, N.; Zheng, Y.; Hao, Q.; Yang, S.; et al. Meta-analysis of the association between nut consumption and the risks of cancer incidence and cancer-specific mortality. Aging 2020, 12, 10772–10794. [Google Scholar] [CrossRef]
  4. Becerra-Tomás, N.; Paz-Graniel, I.; Hernández-Alonso, P.; Jenkins, D.J.A.; Kendall, C.W.C.; Sievenpiper, J.L.; Salas-Salvadó, J. Nut consumption and type 2 diabetes risk: A systematic review and meta-analysis of observational studies. Am. J. Clin. Nutr. 2021, 113, 960–971. [Google Scholar] [CrossRef] [PubMed]
  5. Luo, C.; Zhang, Y.; Ding, Y.; Shan, Z.; Chen, S.; Yu, M.; Hu, F.B.; Liu, L. Nut consumption and risk of type 2 diabetes, cardiovascular disease, and all-cause mortality: A systematic review and meta-analysis. Am. J. Clin. Nutr. 2014, 100, 256–269. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Wu, L.; Wang, Z.; Zhu, J.; Murad, A.L.; Prokop, L.J.; Murad, M.H. Nut consumption and risk of cancer and type 2 diabetes: A systematic review and meta-analysis. Nutr. Rev. 2015, 73, 409–425. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Zhou, D.; Yu, H.; He, F.; Reilly, K.H.; Zhang, J.; Li, S.; Zhang, T.; Wang, B.; Ding, Y.; Xi, B. Nut consumption in relation to cardiovascular disease risk and type 2 diabetes: A systematic review and meta-analysis of prospective studies. Am. J. Clin. Nutr. 2014, 100, 270–277. [Google Scholar] [CrossRef] [Green Version]
  8. Brown, R.; Tey, S.; Gray, A.; Chisholm, A.; Smith, C.; Fleming, E.; Parnell, W. Association of nut consumption with cardiometabolic risk factors in the 2008/2009 New Zealand Adult Nutrition Survey. Nutrients 2015, 7, 5351. [Google Scholar] [CrossRef] [Green Version]
  9. O’Neil, C.E.; Keast, D.R.; Nicklas, T.A.; Fulgoni, V.L. Nut consumption is associated with decreased health risk factors for cardiovascular disease and metabolic syndrome in U.S. adults: NHANES 1999–2004. J. Am. Coll. Nutr. 2011, 30, 502–510. [Google Scholar] [CrossRef]
  10. Bes-Rastrollo, M.; Sabate, J.; Gomez-Gracia, E.; Alonso, A.; Martinez, J.A.; Martinez-Gonzalez, M.A. Nut consumption and weight gain in a Mediterranean cohort: The SUN Study. Obesity 2007, 15, 107–116. [Google Scholar] [CrossRef]
  11. Nishi, S.K.; Viguiliouk, E.; Blanco Mejia, S.; Kendall, C.W.C.; Bazinet, R.P.; Hanley, A.J.; Comelli, E.M.; Salas Salvadó, J.; Jenkins, D.J.A.; Sievenpiper, J.L. Are fatty nuts a weighty concern? A systematic review and meta-analysis and dose–response meta-regression of prospective cohorts and randomized controlled trials. Obes. Rev. 2021, 22, e13330. [Google Scholar] [CrossRef] [PubMed]
  12. Altamimi, M.; Zidan, S.; Badrasawi, M. Effect of tree nuts consumption on serum lipid profile in hyperlipidemic individuals: A systematic review. Nutr. Metab. Insights 2020, 13, 1178638820926521. [Google Scholar] [CrossRef] [PubMed]
  13. Del Gobbo, L.C.; Falk, M.C.; Feldman, R.; Lewis, K.; Mozaffarian, D. Effects of tree nuts on blood lipids, apolipoproteins, and blood pressure: Systematic review, meta-analysis, and dose-response of 61 controlled intervention trials. Am. J. Clin. Nutr. 2015, 102, 1347–1356. [Google Scholar] [CrossRef] [Green Version]
  14. Sabaté, J.; Oda, K.; Ros, E. Nut consumption and blood lipid levels: A pooled analysis of 25 intervention trials. Arch. Intern. Med. 2010, 170, 821–827. [Google Scholar] [CrossRef] [Green Version]
  15. Yu, Z.; Malik, V.S.; Keum, N.; Hu, F.B.; Giovannucci, E.L.; Stampfer, M.J.; Willett, W.C.; Fuchs, C.S.; Bao, Y. Associations between nut consumption and inflammatory biomarkers. Am. J. Clin. Nutr. 2016, 104, 722–728. [Google Scholar] [CrossRef] [Green Version]
  16. Xiao, Y.; Huang, W.; Peng, C.; Zhang, J.; Wong, C.; Kim, J.H.; Yeoh, E.-k.; Su, X. Effect of nut consumption on vascular endothelial function: A systematic review and meta-analysis of randomized controlled trials. Clin. Nutr. 2018, 37, 831–839. [Google Scholar] [CrossRef]
  17. Xiao, Y.; Xia, J.; Ke, Y.; Cheng, J.; Yuan, J.; Wu, S.; Lv, Z.; Huang, S.; Kim, J.H.; Wong, S.Y.-s.; et al. Effects of nut consumption on selected inflammatory markers: A systematic review and meta-analysis of randomized controlled trials. Nutrition 2018, 54, 129–143. [Google Scholar] [CrossRef] [PubMed]
  18. Silveira, B.K.S.; da Silva, A.; Hermsdorff, H.H.M.; Bressan, J. Effect of chronic consumption of nuts on oxidative stress: A systematic review of clinical trials. Crit. Rev. Food Sci. Nutr. 2022, 62, 726–737. [Google Scholar] [CrossRef]
  19. Guarneiri, L.L.; Cooper, J.A. Intake of nuts or nut products does not lead to weight gain, independent of dietary substitution instructions: A systematic review and meta-analysis of randomized trials. Adv. Nutr. 2021, 12, 384–401. [Google Scholar] [CrossRef]
  20. Alasalvar, C.; Shahidi, F. Tree nuts: Composition, phytochemicals, and health effects: An overview. In Tree Nuts: Composition, Phytochemicals, and Health Effect; Alasalvar, C., Shahidi, F., Eds.; Taylor & Francis Group: Boca Raton, FL, USA, 2008; pp. 1–10. [Google Scholar]
  21. Di Nunzio, M. Hazelnuts as source of bioactive compounds and health value underestimated food. Curr. Res. Nutr. Food Sci. 2019, 7, 17–28. [Google Scholar] [CrossRef]
  22. Pelvan, E.; Alasalvar, C.; Uzman, S. Effects of roasting on the antioxidant status and phenolic profiles of commercial Turkish hazelnut varieties (Corylus avellana L.). J. Agric. Food Chem. 2012, 60, 1218–1223. [Google Scholar] [CrossRef] [PubMed]
  23. Pelvan, E.; Olgun, E.Ö.; Karadağ, A.; Alasalvar, C. Phenolic profiles and antioxidant activity of Turkish Tombul hazelnut samples (natural, roasted, and roasted hazelnut skin). Food Chem. 2018, 244, 102–108. [Google Scholar] [CrossRef] [PubMed]
  24. Dreher, M.L. A comprehensive review of almond clinical trials on weight measures, metabolic health biomarkers and outcomes, and the gut microbiota. Nutrients 2021, 13, 1968. [Google Scholar] [CrossRef] [PubMed]
  25. Jamshidi, S.; Moradi, Y.; Nameni, G.; Mohsenpour, M.A.; Vafa, M. Effects of cashew nut consumption on body composition and glycemic indices: A meta-analysis and systematic review of randomized controlled trials. Diabetes Metab. Syndr. 2021, 15, 605–613. [Google Scholar] [CrossRef] [PubMed]
  26. Asbaghi, O.; Hadi, A.; Campbell, M.S.; Venkatakrishnan, K.; Ghaedi, E. Effects of pistachios on anthropometric indices, inflammatory markers, endothelial function and blood pressure in adults: A systematic review and meta-analysis of randomised controlled trials. Br. J. Nutr. 2021, 126, 718–729. [Google Scholar] [CrossRef] [PubMed]
  27. Fogacci, F.; Cicero, A.F.G.; Derosa, G.; Rizzo, M.; Veronesi, M.; Borghi, C. Effect of pistachio on brachial artery diameter and flow-mediated dilatation: A systematic review and meta-analysis of randomized, controlled-feeding clinical studies. Crit. Rev. Food Sci. Nutr. 2019, 59, 328–335. [Google Scholar] [CrossRef] [PubMed]
  28. Malmir, H.; Larijani, B.; Esmaillzadeh, A. The effect of walnut consumption on cardiometabolic profiles of individuals with abnormal glucose homoeostasis: A systematic review and meta-analysis of clinical trials. Br. J. Nutr. 2021, 1–31. [Google Scholar] [CrossRef]
  29. Mohammadi-Sartang, M.; Bellissimo, N.; Totosy de Zepetnek, J.O.; Bazyar, H.; Mahmoodi, M.; Mazloom, Z. Effects of walnuts consumption on vascular endothelial function in humans: A systematic review and meta-analysis of randomized controlled trials. Clin. Nutr. ESPEN 2018, 28, 52–58. [Google Scholar] [CrossRef] [PubMed]
  30. Neale, E.P.; Guan, V.; Tapsell, L.C.; Probst, Y.C. Effect of walnut consumption on markers of blood glucose control: A systematic review and meta-analysis. Br. J. Nutr. 2020, 124, 641–653. [Google Scholar] [CrossRef] [PubMed]
  31. Perna, S.; Giacosa, A.; Bonitta, G.; Bologna, C.; Isu, A.; Guido, D.; Rondanelli, M. Effects of hazelnut consumption on blood lipids and body weight: A systematic review and Bayesian meta-analysis. Nutrients 2016, 8, 747. [Google Scholar] [CrossRef]
  32. Ouzzani, M.; Hammady, H.; Fedorowicz, Z.; Elmagarmid, A. Rayyan—a web and mobile app for systematic reviews. Syst. Rev. 2016, 5, 210. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Page, M.J.; McKenzie, J.E.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E.; et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ 2021, 372, n71. [Google Scholar] [CrossRef] [PubMed]
  34. Sterne, J.A.C.; Savović, J.; Page, M.J.; Elbers, R.G.; Blencowe, N.S.; Boutron, I.; Cates, C.J.; Cheng, H.-Y.; Corbett, M.S.; Eldridge, S.M.; et al. RoB 2: A revised tool for assessing risk of bias in randomised trials. BMJ 2019, 366, l4898. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Sterne, J.A.C.; Hernán, M.A.; Reeves, B.C.; Savović, J.; Berkman, N.D.; Viswanathan, M.; Henry, D.; Altman, D.G.; Ansari, M.T.; Boutron, I.; et al. ROBINS-I: A tool for assessing risk of bias in non-randomised studies of interventions. BMJ 2016, 355, i4919. [Google Scholar] [CrossRef] [Green Version]
  36. Adamo, M.; Labate, A.M.; Ferrulli, A.; Macrì, C.; Terruzzi, I.; Luzi, L. Effects of hazelnuts and cocoa on vascular reactivity in healthy subjects: A randomised study. Int. J. Food Sci. Nutr. 2018, 69, 223–234. [Google Scholar] [CrossRef]
  37. Damavandi, R.; Eghtesadi, S.; Shidfar, F.; Heydari, I.; Foroushani, A. Effects of hazelnut consumption on fasting blood sugar, total antioxidant capacity, hs-CRP and paraoxonase-1 activity in patients with type 2 diabetes. Razi J. Med. Sci. 2012, 19, 40–50. [Google Scholar]
  38. Damavandi, R.; Eghtesadi, S.; Shidfar, F.; Heydari, I.; Foroushani, A. Effects of hazelnuts consumption on fasting blood sugar and lipoproteins in patients with type 2 diabetes. J. Res. Med. Sci. Off. J. Isfahan Univ. Med. Sci. 2013, 18, 314–321. [Google Scholar]
  39. Deon, V.; Del Bo, C.; Guaraldi, F.; Abello, F.; Belviso, S.; Porrini, M.; Riso, P.; Guardamagna, O. Effect of hazelnut on serum lipid profile and fatty acid composition of erythrocyte phospholipids in children and adolescents with primary hyperlipidemia: A randomized controlled trial. Clin. Nutr. 2018, 37, 1193–1201. [Google Scholar] [CrossRef]
  40. Devi, A.; Chisholm, A.; Gray, A.; Tey, S.L.; Williamson-Poutama, D.; Cameron, S.L.; Brown, R.C. Nut-enriched bread is an effective and acceptable vehicle to improve regular nut consumption. Eur. J. Nutr. 2016, 55, 2281–2293. [Google Scholar] [CrossRef]
  41. Di Renzo, L.; Merra, G.; Botta, R.; Gualtieri, P.; Manzo, A.; Perrone, M.A.; Mazza, M.; Cascapera, S.; De Lorenzo, A. Post-prandial effects of hazelnut-enriched high fat meal on LDL oxidative status, oxidative and inflammatory gene expression of healthy subjects: A randomized trial. Eur Rev Med Pharm. Sci. 2017, 21, 1610–1626. [Google Scholar]
  42. Guaraldi, F.; Deon, V.; Del Bo, C.; Vendrame, S.; Porrini, M.; Riso, P.; Guardamagna, O. Effect of short-term hazelnut consumption on DNA damage and oxidized LDL in children and adolescents with primary hyperlipidemia: A randomized controlled trial. J. Nutr. Biochem. 2018, 57, 206–211. [Google Scholar] [CrossRef] [PubMed]
  43. Tey, S.L.; Brown, R.C.; Chisholm, A.W.; Delahunty, C.M.; Gray, R.; Williams, S.M. Effects of different forms of hazelnuts on blood lipids and α-tocopherol concentrations in mildly hypercholesterolemic individuals. Eur. J. Clin. Nutr. 2011, 65, 117–124. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Tey, S.L.; Brown, R.; Chisholm, A.; Gray, A.; Williams, S.; Delahunty, C. Current guidelines for nut consumption are achievable and sustainable: A hazelnut intervention. Br. J. Nutr. 2011, 105, 1503–1511. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Tey, S.L.; Brown, R.; Gray, A.; Chisholm, A.; Delahunty, C. Nuts improve diet quality compared to other energy-dense snacks while maintaining body weight. J. Nutr. Metab. 2011, 2011, 357350. [Google Scholar] [CrossRef] [PubMed]
  46. Tey, S.L.; Brown, R.C.; Gray, A.R.; Chisholm, A.W.; Delahunty, C.M. Long-term consumption of high energy-dense snack foods on sensory-specific satiety and intake. Am. J. Clin. Nutr. 2012, 95, 1038–1047. [Google Scholar] [CrossRef]
  47. Tey, S.L.; Gray, A.R.; Chisholm, A.W.; Delahunty, C.M.; Brown, R.C. The dose of hazelnuts influences acceptance and diet quality but not inflammatory markers and body composition in overweight and obese individuals. J. Nutr. 2013, 143, 1254–1262. [Google Scholar] [CrossRef] [Green Version]
  48. Tey, S.L.; Delahunty, C.; Gray, A.; Chisholm, A.; Brown, R.C. Effects of regular consumption of different forms of almonds and hazelnuts on acceptance and blood lipids. Eur. J. Nutr. 2015, 54, 483–487. [Google Scholar] [CrossRef]
  49. Tey, S.L.; Robinson, T.; Gray, A.R.; Chisholm, A.W.; Brown, R.C. Do dry roasting, lightly salting nuts affect their cardioprotective properties and acceptability? Eur. J. Nutr. 2017, 56, 1025–1036. [Google Scholar] [CrossRef]
  50. Yilmaz, H.Ö.; Özyildirim, B. Evaluation of the effects of raisins and hazelnuts added to the diet on lipid profiles and anthropometric measurements in women with hyperlipidemia. Bezmiâlem Sci. 2019, 7, 294–306. [Google Scholar] [CrossRef]
  51. Alphan, E.; Pala, M.; Ackurt, F.; Yilmaz, T. Nutritional composition of hazelnuts and its effects on glucose and lipid metabolism. Acta Hort 1997, 445, 305–310. [Google Scholar] [CrossRef]
  52. Di Renzo, L.; Alberto, C.; Daniela, M.; Botta, R.; Contessa, C.; Sartor, C.; Iacopino, A.M.; De Lorenzo, A. Nutrient Analysis Critical Control Point (NACCP): Hazelnut as a prototype of nutrigenomic study. Food Nutr. Sci. 2014, 5, 79–88. [Google Scholar] [CrossRef] [Green Version]
  53. Di Renzo, L.; Cioccoloni, G.; Bernardini, S.; Abenavoli, L.; Aiello, V.; Marchetti, M.; Cammarano, A.; Alipourfard, I.; Ceravolo, I.; Gratteri, S. A hazelnut-enriched diet modulates oxidative stress and inflammation gene expression without weight gain. Oxidative Med. Cell. Longev. 2019, 2019, 4683723. [Google Scholar] [CrossRef] [PubMed]
  54. Durak, I.; Köksal, I.; Kaçmaz, M.; Büyükkoçak, S.; Çimen, B.M.Y.; Öztürk, H.S. Hazelnut supplementation enhances plasma antioxidant potential and lowers plasma cholesterol levels. Clin. Chim. Acta 1999, 284, 113–115. [Google Scholar] [CrossRef]
  55. Mercanligil, S.M.; Arslan, P.; Alasalvar, C.; Okut, E.; Akgul, E.; Pinar, A.; Geyik, P.O.; Tokgozoglu, L.; Shahidi, F. Effects of hazelnut-enriched diet on plasma cholesterol and lipoprotein profiles in hypercholesterolemic adult men. Eur. J. Clin. Nutr. 2007, 61, 212–220. [Google Scholar] [CrossRef] [Green Version]
  56. Michels, A.J.; Leonard, S.W.; Uesugi, S.L.; Bobe, G.; Frei, B.; Traber, M.G. Daily consumption of Oregon hazelnuts affects α-tocopherol status in healthy older adults: A pre-post intervention study. J. Nutr. 2018, 148, 1924–1930. [Google Scholar] [CrossRef] [PubMed]
  57. Orem, A.; Yucesan, F.B.; Orem, C.; Akcan, B.; Kural, B.V.; Alasalvar, C.; Shahidi, F. Hazelnut-enriched diet improves cardiovascular risk biomarkers beyond a lipid-lowering effect in hypercholesterolemic subjects. J. Clin. Lipidol. 2013, 7, 123–131. [Google Scholar] [CrossRef]
  58. Santi, C.; Giorni, A.; Terenzi, C.T.; Altavista, P.; Bacchetta, L. Daily hazelnut intake exerts multiple reversible effects on plasma profile of healthy subjects. Food Nutr. Sci. 2017, 8, 633–646. [Google Scholar] [CrossRef] [Green Version]
  59. Tey, S.L.; Robinson, T.; Davis, H.; Gray, A.R.; Chisholm, A.W.; Brown, R.C. The effect of regular hazelnut consumption on cardiovascular risk factors and acceptance in Māori and European. J. Nutr. 2015, 2, 39–53. [Google Scholar] [CrossRef] [Green Version]
  60. Yücesan, F.B.; Örem, A.; Kural, B.V.; Örem, C.; Turan, İ. Hazelnut consumption decreases the susceptibility of LDL to oxidation, plasma oxidized LDL level and increases the ratio of large/small LDL in normolipidemic healthy subjects. Anadolu Kardiyol Derg 2010, 10, 28–35. [Google Scholar] [CrossRef]
  61. Akhlaghi, M.; Ghobadi, S.; Zare, M.; Foshati, S. Effect of nuts on energy intake, hunger, and fullness, a systematic review and meta-analysis of randomized clinical trials. Crit. Rev. Food Sci. Nutr. 2020, 60, 84–93. [Google Scholar] [CrossRef]
  62. Franco Estrada, Y.M.; Caldas, A.P.S.; da Silva, A.; Bressan, J. Effects of acute and chronic nuts consumption on energy metabolism: A systematic review of randomised clinical trials. Int. J. Food Sci. Nutr. 2021, 1–11. [Google Scholar] [CrossRef] [PubMed]
  63. Mattes, R.D.; Dreher, M.L. Nuts and healthy body weight maintenance mechanisms. Asia Pac. J. Clin. Nutr. 2010, 19, 137–141. [Google Scholar] [PubMed]
  64. Fernández-Rodríguez, R.; Martínez-Vizcaíno, V.; Garrido-Miguel, M.; Martínez-Ortega, I.A.; Álvarez-Bueno, C.; Eumann Mesas, A. Nut consumption, body weight, and adiposity in patients with type 2 diabetes: A systematic review and meta-analysis of randomized controlled trials. Nutr. Rev. 2021. [Google Scholar] [CrossRef] [PubMed]
  65. Barbour, J.A.; Howe, P.R.C.; Buckley, J.D.; Bryan, J.; Coates, A.M. Nut consumption for vascular health and cognitive function. Nutr. Res. Rev. 2014, 27, 131–158. [Google Scholar] [CrossRef] [Green Version]
  66. Mohammadifard, N.; Salehi-Abargouei, A.; Salas-Salvadó, J.; Guasch-Ferré, M.; Humphries, K.; Sarrafzadegan, N. The effect of tree nut, peanut, and soy nut consumption on blood pressure: A systematic review and meta-analysis of randomized controlled clinical trials. Am. J. Clin. Nutr. 2015, 101, 966–982. [Google Scholar] [CrossRef] [Green Version]
  67. Jenkins, D.J.; Kendall, C.W.; Josse, A.R.; Salvatore, S.; Brighenti, F.; Augustin, L.S.; Ellis, P.R.; Vidgen, E.; Rao, A.V. Almonds decrease postprandial glycemia, insulinemia, and oxidative damage in healthy individuals. J. Nutr. 2006, 136, 2987–2992. [Google Scholar] [CrossRef] [Green Version]
  68. Josse, A.R.; Kendall, C.W.; Augustin, L.S.; Ellis, P.R.; Jenkins, D.J. Almonds and postprandial glycemia--a dose-response study. Metabolism 2007, 56, 400–404. [Google Scholar] [CrossRef]
  69. Kendall, C.W.C.; West, S.G.; Augustin, L.S.; Esfahani, A.; Vidgen, E.; Bashyam, B.; Sauder, K.A.; Campbell, J.; Chiavaroli, L.; Jenkins, A.L.; et al. Acute effects of pistachio consumption on glucose and insulin, satiety hormones and endothelial function in the metabolic syndrome. Eur. J. Clin. Nutr. 2014, 68, 370–375. [Google Scholar] [CrossRef]
  70. Tindall, A.M.; Johnston, E.A.; Kris-Etherton, P.M.; Petersen, K.S. The effect of nuts on markers of glycemic control: A systematic review and meta-analysis of randomized controlled trials. Am. J. Clin. Nutr. 2019, 109, 297–314. [Google Scholar] [CrossRef]
  71. Alasalvar, C.; Bolling, B.W. Review of nut phytochemicals, fat-soluble bioactives, antioxidant components and health effects. Br. J. Nutr. 2015, 113, S68–S78. [Google Scholar] [CrossRef]
  72. Alasalvar, C.; Salvadó, J.-S.; Ros, E. Bioactives and health benefits of nuts and dried fruits. Food Chem. 2020, 314, 126192. [Google Scholar] [CrossRef] [PubMed]
  73. Bolling, B.W.; Chen, C.Y.; McKay, D.L.; Blumberg, J.B. Tree nut phytochemicals: Composition, antioxidant capacity, bioactivity, impact factors. A systematic review of almonds, Brazils, cashews, hazelnuts, macadamias, pecans, pine nuts, pistachios and walnuts. Nutr. Res. Rev. 2011, 24, 244–275. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. López-Uriarte, P.; Bulló, M.; Casas-Agustench, P.; Babio, N.; Salas-Salvadó, J. Nuts and oxidation: A systematic review. Nutr. Rev. 2009, 67, 497–508. [Google Scholar] [CrossRef] [PubMed]
  75. Mazidi, M.; Rezaie, P.; Ferns, G.A.; Gao, H.-k. Impact of different types of tree nut, peanut, and soy nut consumption on serum C-reactive protein (CRP): A systematic review and meta-analysis of randomized controlled clinical trials. Medicine 2016, 95, e5165. [Google Scholar] [CrossRef]
  76. Neale, E.P.; Tapsell, L.C.; Guan, V.; Batterham, M.J. The effect of nut consumption on markers of inflammation and endothelial function: A systematic review and meta-analysis of randomised controlled trials. BMJ Open 2017, 7, e016863. [Google Scholar] [CrossRef] [PubMed]
  77. Smeets, E.T.H.C.; Mensink, R.P.; Joris, P.J. Effects of tree nut and groundnut consumption compared with those of l-arginine supplementation on fasting and postprandial flow-mediated vasodilation: Meta-analysis of human randomized controlled trials. Clin. Nutr. 2021, 40, 1699–1710. [Google Scholar] [CrossRef]
  78. Pearson, K.R.; Tey, S.L.; Gray, A.R.; Chisholm, A.; Brown, R.C. Energy compensation and nutrient displacement following regular consumption of hazelnuts and other energy-dense snack foods in non-obese individuals. Eur. J. Nutr. 2017, 56, 1255–1267. [Google Scholar] [CrossRef]
  79. Lloyd-Williams, F.; Mwatsama, M.; Ireland, R.; Capewell, S. Small changes in snacking behaviour: The potential impact on CVD mortality. Public Health Nutr. 2009, 12, 871–876. [Google Scholar] [CrossRef] [Green Version]
  80. Mozaffarian, D.; Capewell, S. United Nations’ dietary policies to prevent cardiovascular disease. BMJ 2011, 343, d5747. [Google Scholar] [CrossRef] [Green Version]
  81. Jardim, T.V.; Mozaffarian, D.; Abrahams-Gessel, S.; Sy, S.; Lee, Y.; Liu, J.; Huang, Y.; Rehm, C.; Wilde, P.; Micha, R.; et al. Cardiometabolic disease costs associated with suboptimal diet in the United States: A cost analysis based on a microsimulation model. PLoS Med. 2019, 16, e1002981. [Google Scholar] [CrossRef] [Green Version]
  82. Mozaffarian, D.; Appel, L.J.; Horn, L.V. Components of a cardioprotective diet. Circulation 2011, 123, 2870–2891. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Flow diagram of the literature search process.
Figure 1. Flow diagram of the literature search process.
Ijerph 19 02880 g001
Table 1. PICOS criteria for inclusion and exclusion of studies.
Table 1. PICOS criteria for inclusion and exclusion of studies.
ParameterCriterion
ParticipantsHumans
InterventionConsumption of hazelnuts
ComparatorNo nut control, control food, baseline
OutcomesTotal cholesterol, LDL-C, HDL-C, TAG, apolipoprotein A1, apolipoprotein B100, body weight, blood pressure, glycaemic control, antioxidant status, vitamin E, oxidative stress, inflammatory markers, endothelial function, acceptance
Study designIntervention studies in peer-reviewed journals where hazelnuts were the dietary component under study.
Table 2. Study quality and risk of bias for randomised trials (n = 12) 1.
Table 2. Study quality and risk of bias for randomised trials (n = 12) 1.
Author, Year
(Study Location)
Random Sequence GenerationAllocation ConcealmentSelective Reporting BlindingBlinding of Outcome Assessment Incomplete Outcome Assessment Overall Quality
Adamo et al., 2018 [36] (Italy)lowunclearhighhighhighlowpoor
Damavandi et al., 2012 [37] (Iran) lowunclearlowhighlowlowgood
Damavandi et al., 2013 [38] (Iran)lowunclearlowhighlowlowgood
Deon et al., 2018 [39] (Italy)lowunclearlowhighlowlowgood
Devi et al., 2016 [40] (New Zealand)lowlowlowhighlowlowgood
Di Renzo et al., 2017 [41] (Italy)lowlowlowhighlowlowgood
Guaraldi et al., 2018 [42] (Italy)lowlowlowhighlowlowgood
Tey et al., 2011 [43] (New Zealand)lowlowlowhighlowlowgood
Tey et al., 2011 [44] (New Zealand)lowlowlowhighlowlowgood
Tey et al., 2011 [45] (New Zealand)lowlowlowhighlowlowgood
Tey et al., 2012 [46] (New Zealand)lowlowlowhighlowlowgood
Tey et al., 2013 [47] (New Zealand)lowlowlowhighlowlowgood
Tey et al., 2015 [48] (New Zealand)lowlowlowhighlowlowgood
Tey et al., 2017 [49] (New Zealand)lowlowlowhighlowlowgood
Yilmaz et al., 2019 [50] (Turkey)unclearunclearlowhighhighlowfair
1 Overall quality: good (low risk of bias in at least three domains), fair (low risk of bias in at least two domains), poor (low risk of bias in one or less domain). There were three studies with two publications, each reporting different study outcomes, i.e., the first study [37,38], the second study [43,44], and the third study [45,46].
Table 3. Study quality and risk of bias for non-randomised trials (n = 10) 1.
Table 3. Study quality and risk of bias for non-randomised trials (n = 10) 1.
Author, Year
(Study Location)
Bias Due to ConfoundingBias in Selection of Participants into the StudyBias in Classification of InterventionsBias Due to Deviations from Intended InterventionsBias Due to Missing DataBias in Measurement of OutcomesBias in Selection of the Reported ResultOverall Risk of Bias
Alphan et al., 1997 [51] (Turkey)criticalno informationlowlowno informationmoderateseriouscritical
Di Renzo et al., 2014 [52] (Italy)criticallowlowlowmoderatemoderateseriouscritical
Di Renzo et al., 2019 [53] (Italy)criticallowlowlowmoderatemoderatelowcritical
Durak et al., 1999 [54] (Turkey)criticalmoderatelowlowno informationseriousseriouscritical
Mercanligil et al., 2007 [55] (Turkey)criticallowlowlowlowseriouslowcritical
Michels et al., 2018 [56] (USA)criticalmoderatelowlowmoderatemoderatelowcritical
Orem et al., 2013 [57] (Turkey)seriousmoderatelowlowno informationmoderatemoderatemoderate
Santi et al., 2017 [58] (Italy)seriousmoderatelowlowno informationmoderatemoderatemoderate
Tey et al., 2015 [59] (New Zealand)criticallowlowlowmoderatemoderatelowcritical
Yucesan et al., 2010 [60] (Turkey)criticalmoderatelowlowno informationmoderatemoderatecritical
1 Overall risk of bias judgement: low (low risk of bias for all domains), moderate (low or moderate risk of bias for all domains), serious (serious risk of bias in at least one domain, but not at critical risk of bias in any domain), critical (critical risk of bias in at least one domain).
Table 4. Effects of hazelnut consumption on blood lipids and lipoproteins (n = 17).
Table 4. Effects of hazelnut consumption on blood lipids and lipoproteins (n = 17).
Author, YearStudy
Design
Participant
Characteristics
DurationTreatmentTC
mmol/L
LDL-C
mmol/L
HDL-C
mmol/L
TAG
mmol/L
Between Treatments
Adamo et al., 2018 [36]Randomised parallel
6 treatments
61 (31 M, 30 F) BMI 18.5–24.9 kg/m22-weeksBreakfasts including:
(i) 30 g/d peeled hazelnut paste
NRNRNRNR30 g of unpeeled hazelnut significantly increased HDL-C compared to control (16.0%, p = 0.02)
Baseline
(ii) 30 g/d unpeeled hazelnut paste
NR
NR
2.49
2.33
1.68
1.82
NR
NR
Change 1NR−0.16 a+0.14 bNR
% change−2.0%−6.0%+16.0%NR
(iii) snack with 30 g/d peeled hazelnut pasteNRNRNRNR
(iv) snack with 2.5 g cocoa powderNRNRNRNR
BaselineNRNRNRNR
(v) Snack with 30 g/d peeled hazelnut paste and 2.5 g cocoa powderNRNRNRNR
% change−0.9%−3.4% a+5.2%NR
(vi) no snack control group
N.B. Data was only presented for treatment ii vs. control and treatment v vs. control
NRNRNRNR
Alphan et al., 1997 [51]Sequential intervention periods19 (5 M, 14 F) with type 2 diabetes30 days Baseline5.403.360.952.78Between-group analysis NR.
(i) High CHO diet (60% CHO, 25% fat)5.673.920.972.45
Change 1+0.27 b+0.56 b+0.02−0.33
Baseline6.134.660.962.47
(ii) Hazelnuts (40% CHO, 45% fat—quantity of hazelnuts not reported)5.403.441.042.07
Change 1−0.73 b−1.22 b+0.08−0.40
Damavandi et al., 2013 [38]Randomised parallel
2 treatments
50 (16 M, 34 F) with type 2 diabetes8 weeksBaseline4.122.181.141.75Significantly greater decrease in HDL-C in the control group compared to the hazelnut group (p = 0.009)
(i) Hazelnuts 10% of TE3.752.211.081.45
Change 1−0.37+0.02−0.06−0.30
Baseline3.621.941.041.41
(ii) Control (no hazelnuts)3.471.900.951.40
Change 1−0.15−0.04−0.09 b−0.01
Deon et al., 2018 [39]Randomised parallel
3 treatments
66 children and adolescents (35 M 31 F) with hyperlipidaemia8 weeksBaseline5.583.671.600.76 No significant between-group differences
(i) Hazelnuts with skin (0.43 g /kg (15–30 g))5.283.431.630.66
Change 1−0.30−0.24 a+0.03−0.10
Baseline5.733.661.580.69
(ii) Hazelnuts without skin (0.43 g/kg (15–30 g))5.493.431.610.79
Change 1−0.24−0.23 a+0.03+0.10
Baseline5.443.541.430.86
Control (dietary advice only)5.283.411.440.87
Change 1−0.16−0.13+0.01+0.01
Di Renzo et al., 2019 [53]Single intervention
Pilot
24 (14 M, 10 F)
healthy
6 weeksBaseline4.68 2.95 1.33 1.34 N/A, single intervention
(i) Hazelnuts (40 g /d)4.32 2.66 1.23 0.93
Change 1−0.36 b−0.29 b−0.10−0.41
Durak et al., 1999 [54]Single intervention30 (18 M, 12 F)
Healthy
medical students
1 month Baseline3.381.951.030.86N/A, single intervention
(i) Hazelnuts (1 g/kg BW (68–69 g))3.171.581.111.07
Change 1−0.21 b−0.37 c+0.08 a+0.21 c
Mercanligil et al., 2007 [55]Sequential intervention periods
2 treatments
15 (15 M, 0 F) with hyper-cholesterolaemia4 weeksBaseline6.224.031.142.30Compared with the control diet, the hazelnut-enriched diet significantly
improved HDL-C (p < 0.05).
(i) Control LF, low cholesterol, high CHO diet5.863.801.132.02
Change 1−0.36−0.23−0.01−0.28
Baseline6.224.031.142.30
(ii) Control + Hazelnuts (40 g)5.893.901.281.57
Change 1−0.33−0.13+0.14 a−0.73 a
Michels et al., 2018 [56]Single intervention32 (10 M, 22F F) healthy, non-frequent nut consumers, Vit E intake <10 mg a-tocopherol/d, no Vit E supplements in previous 12 months16 weeksBaseline5.052.971.670.93N/A, single intervention
(i) Hazelnuts, dry roasted (~57 g/day)4.952.791.720.97
Change 1−0.1−0.18 a+0.05+0.04
Orem et al., 2013 [57]Double control sandwich model intervention21 (18 M, 3 F) Hypercholesterolaemia4 weeks(i) 4 week no-nut (Control I) diet5.774.011.121.65 Compared with the Control I period, hazelnut period significantly improved lipid and lipoprotein profile.
Compared with the hazelnut period, the lipid and lipoprotein profile were significantly worse on the Control II period. All p < 0.05.
(ii) 4-week hazelnut-enriched diet (49–86 g/d (18–20% TER)) 5.303.751.191.38
Change 1 from (i) to (ii)−0.47−0.26 +0.07 −0.27
% change−7.82%−6.17%+6.07%−7.3%
(iii) 4 week no-nut (Control II) diet5.824.091.031.63
Change 1 from (ii) to (iii)+0.52+0.34−0.16+0.25
% change+9.78%+9.37%−3.67%+13.7%
Santi et al., 2017 [58]Double control sandwich model intervention24 (14 M, 10 F)
Healthy
BMI > 19 kg/m2, <30 kg/m2
6-weeks(i) 2-week ‘standard’ diet5.333.441.451.18TC and LDL decreased significantly after the hazelnut diet compared to after Control I diet (p = 0.01) and p = 0.003, respectively).
TC and LDL-C increased after Control II diet but not significantly; TC and LDL-C were significantly lower after Control II compared to after Control I i.e., the reduction during hazelnut diet remained significant (p = 0.04 and p = 0.004) respectively.
(ii) 6-week 40 g raw hazelnut4.903.081.381.20
Change 1 from (i) to (ii)−0.43−0.36 b−0.07+0.02
(iii) 6-week ‘standard’ diet ‘washout’5.163.331.361.29
Change 1 from (ii) to (iii)+0.26+0.25−0.02+0.09
Change 1 from (i) to (iii)−0.17 a−0.11 b−0.09+0.11
Tey et al., 2011 [43]Randomised
Crossover
3 treatments
48 (20 M, 28 F) with mild hyper-cholesterolaemia4 weeksBaseline5.884.011.211.43There were no significant differences in blood lipids and lipoproteins between different forms
of nuts.
(i) Ground hazelnuts (30 g/d)5.713.821.261.37
Change 1−0.17 c−0.19 c+0.05 a−0.06
Baseline5.884.011.211.43
(ii) Sliced hazelnuts (30 g/d) 5.673.771.241.44
Change 1−0.21 c−0.24 c+0.03 a+0.01
Baseline5.884.011.211.43
(iii) Whole hazelnuts (30 g/d) 5.633.741.251.39
Change 1−0.25 c−0.27 c+0.04 a−0.04
Tey et al., 2011 [45]Randomised
Parallel
4 treatments
118 (55 M, 63 F)
Healthy, BMI < 30 kg/m2
12 weeksBaseline4.792.941.32 ^0.98 ^There were no significant differences in
blood lipids and lipoproteins between different treatments.
(i) Control4.893.03N/RN/R
Change 1+0.10+0.091.00 ^1.03 ^
Baseline4.792.941.32 ^0.98 ^
(ii) Hazelnuts (42 g/d)4.732.85N/RN/R
Change 1−0.06−0.091.02 ^0.99 ^
Baseline4.792.941.32 ^0.98 ^
(iii) Chocolate (50 g/d)5.013.07N/RN/R
Change 1+0.22+0.131.04 ^1.05 ^
Baseline4.792.941.32 ^0.98 ^
(iv) Potato crisp (50 g/d)4.842.88N/RN/R
Change 1+0.05−0.061.04 ^1.04 ^
Tey et al., 2013 [47]Randomised
Parallel
3 treatments
107 (46 M, 61 F)
BMI ≥ 25 kg/m2
12 weeksBaseline4.933.031.321.27There were no significant differences in
blood lipids and lipoproteins between treatments.
(i) Control (no hazelnuts)4.913.051.341.13
Change 1−0.02+0.02+0.02−0.14
Baseline4.923.071.261.29
(ii) Hazelnuts (30 g/d)4.782.931.301.19
Change 1−0.14−0.14+0.04−0.10
Baseline4.933.051.201.49
(iii) Hazelnuts (60 g/d)4.802.961.201.41
Change 1−0.13−0.090.00−0.08
Tey et al., 2015 [59]Single intervention 20 Māori (8 M, 12 F) and 19 (5 M, 14 F) European aged above 18 years4 weeksMāori N/A, single intervention, but there were no significant differences in blood lipids and lipoprotein between Māori
and Europeans.
Baseline4.14^2.46^1.16^1.01^
(i) Raw hazelnuts (30 g/d)4.17^2.42^1.19^1.04^
Change 1N/RN/RN/RN/R
European
Baseline3.96 ^2.28 ^1.16 ^0.96 ^
(i) Raw hazelnuts (30 g/d)3.93 ^2.25 ^1.18 ^0.94 ^
Change 1N/RN/RN/RN/R
Tey et al., 2017 [49]Randomised
Crossover
2 treatments
72 (24 M, 48 F)
Aged 18 years and above
4 weeksBaseline5.113.251.351.10HDL-C (p = 0.037) was significantly higher following the consumption of raw hazelnuts, while triacylglycerol (p < 0.001) was significantly lower following the consumption of dry-roasted, lightly salted hazelnuts. No significant differences in TC and LDL-C between the treatments.
(i) Raw hazelnuts (30 g/d)5.133.141.451.12
Change 1+0.02−0.11 a+0.10 c+0.02
Baseline5.113.251.351.10
(ii) Dry roasted, lightly salted hazelnuts (30 g/d) 5.063.171.411.03
Change 1−0.05−0.08+0.06 c−0.07 a
Yilmaz et al., 2019 [50]Randomised
Parallel
4 treatments
37 (0 M, 37 F)
Hyperlipidaemia, Obese
6 weeksBaseline6.174.091.291.71There were no significant differences in blood lipids and lipoproteins between treatments.
(i) Hazelnuts (50 g/d) and cardioprotective diet5.613.611.361.40
Change 1−0.56 b−0.48 b+0.07−0.31
Baseline6.023.971.331.55
(ii) Raisins (50 g/d) and cardioprotective diet5.433.491.291.45
Change 1−0.59 a−0.48 b−0.04−0.10
Baseline5.933.691.331.99
(iii) Hazelnuts (50 g/d) and Raisins and cardioprotective diet (50 g/d)5.293.181.361.65
Change 1−0.64 a−0.51 b+0.03−0.34
Baseline6.014.021.271.59
(iv) Control (Cardioprotective diet)5.613.531.261.87
Change 1−0.40 b−0.49 a−0.01+0.28
Yucesan et al., 2010 [60]Single intervention21 (8 M, 13 F) with normolipidaemia4 weeksBaseline4.212.811.381.01N/A, single intervention
(i) Hazelnuts (1 g/kg BW (49–86 g))3.852.601.440.88
Change 1−0.36 c−0.21 b+0.06−0.13
To convert mmol/L TC, LDL-C, HDL-C to mg/dL, multiply mmol/L by 38.67. To convert mmol/L TAG to mg/dL, multiply mmol/L by 88.57. Abbreviations used: BW, body weight; CHO, carbohydrate; F, female; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; LF, low fat; M, male; N/A, not applicable; NR, not reported; TAG, triacylglycerols; TC, total-cholesterol, TER, total energy requirement. All values are arithmetic means unless otherwise stated. 1 Change (within-group) = Post-treatment value minus Pre-treatment value (i.e., baseline); a p < 0.05; b p < 0.01; c p < 0.001; only for those which reported within-group change. ^ Geometric mean, and differences are ratios of the geometric means; Median.
Table 5. Effects of hazelnut consumption on apolipoprotein A1 and B100 (n = 8).
Table 5. Effects of hazelnut consumption on apolipoprotein A1 and B100 (n = 8).
Author, YearStudy DesignParticipant
Characteristics
DurationTreatmentApo A
g/L
Apo B
g/L
Between Treatments
Alphan et al., 1997 [51]Sequential intervention periods
2 treatments
19 (5 M, 14 F)
Type 2 diabetics
30 daysBaseline1.892.29Between-group analysis NR.
(i) High CHO diet (60% CHO, 25% fat)2.332.92
Change 1+0.44+0.63
Baseline1.812.03
(ii) Hazelnuts (40% CHO, 45% fat, hazelnuts amount NR)1.941.87
Change 1+0.13−0.16
Mercanligil et al., 2007 [55]Sequential intervention
periods
2 treatments
15 (15 M, 0 F)
Hyper-cholesterolaemic
4 weeksBaseline1.361.33There were no significant differences in apo A and apo B between the diets.
(i) Control LF, low cholesterol, high CHO diet1.321.28
Change 1−0.04−0.05
Baseline1.361.33
(ii) Control + Hazelnuts (40 g/d)1.361.21
Change 10.00−0.12 a
Orem et al., 2013 [57]Double control sandwich model
intervention
21 (18 M, 3 F) Hyper-cholesterolaemic4 weeks(i) 4 week no-nut (Control I) diet1.311.15Apo A significantly increased after hazelnut period compared to Control I.
Apo A significantly decreased after the Control II period compared to the hazelnut-enriched diet
Apo B significantly increased after the Control II period compared to the hazelnut-enriched diet
(ii) 4-week hazelnut-enriched diet (49–86 g/d (18–20% TER))1.46 1.12
(iii) 4 week no-nut (Control II) diet1.38 1.20
% change from (i) to (ii)+12.0−1.90
% change from (ii) to (iii)−5.61+15.2
Tey et al., 2011 [43]Randomised
Crossover
3 treatments
48 (20 M, 28 F)
Mildly hyper-cholesterolaemic
4 weeksBaseline1.781.05There were no significant differences in apo A and apo B between the different forms of nuts.
(i) Ground hazelnuts (30 g)1.791.02
Change 1+0.01−0.03 b
Baseline1.781.05
(ii) Sliced hazelnuts (30 g) 1.781.01
Change 10.00−0.04 b
Baseline1.781.05
(iii) Whole hazelnuts (30 g) 1.791.00
Change 1+0.01−0.05 b
Tey et al., 2013 [47]Randomised
Parallel
3 treatments
107 (46 M, 61 F)
Overweight and obese individuals with a BMI ≥ 25 kg/m2
12 weeksBaseline1.670.87There were no significant differences in apo A and apo B between the groups.
(i) Control group (no hazelnuts)1.650.86
Change 1−0.02−0.01
Baseline1.600.88
(ii) Hazelnuts (30 g/d)1.630.85
Change 1+0.03−0.03
Baseline1.560.89
(ii) Hazelnuts (60 g/d)1.570.87
Change 1+0.01−0.02
Tey et al., 2015 [59]Single intervention 20 Māori (8 M, 12 F) and 19 (5 M, 14 F) European aged above 18 years4 weeksMāori N/A, single intervention, but there were no significant differences in apo A and apo B between Māori and Europeans.
Baseline1.51 ^0.71 ^
(i) Raw hazelnuts (30 g/d)1.57 ^0.70 ^
Change 1N/RN/R
European
Baseline1.51 ^0.65 ^
(i) Raw hazelnuts (30 g/d)1.52 ^0.63 ^
Change 1N/RN/R
Tey et al., 2017 [49]Randomised
Crossover
2 treatments
72 (24 M, 48 F)
Aged 18 years and above
4 weeksBaseline1.590.87There were no significant differences in apo A and apo B between the groups.
(i) Raw hazelnuts (30 g/d)1.650.86
Change 1+0.06 b−0.01
Baseline1.590.87
(ii) Dry roasted, lightly salted hazelnuts (30 g/d)1.630.86
Change 1+0.04 b−0.01
Yucesan et al., 2010 [60]Single intervention21 (8 M, 13 F)
Normolipidaemic
4 weeksBaseline1.350.78N/A, single intervention
(i) Hazelnuts (1 g/kg BW (49–86 g))1.410.71
Change 1+0.06 b−0.07 b
Abbreviations used: apo, apolipoprotein; BW, body weight; CHO, carbohydrate; F, female; LF, low fat; M, male; N/A, not applicable; NR, not reported; TE, total energy; TER, total energy requirement. All values are arithmetic means unless otherwise stated. 1 Change (within-group) = Post-treatment value minus Pre-treatment value (i.e., baseline); a p < 0.05; b p < 0.01; only for those which reported within-group change. ^ Geometric mean.
Table 6. Effects of hazelnut consumption on body weight (n = 17).
Table 6. Effects of hazelnut consumption on body weight (n = 17).
Author, YearStudy DesignParticipant
Characteristics
DurationComparison Made
Body Weight
Treatment
Body Weight
Change in Body Weight 1Between Treatments
Alphan et al., 1997 [51]Sequential intervention periods
2 treatments
19 (5 M, 14 F)
Type 2 diabetics
30 days(i) Baseline
BMI: 27.5 kg/m2
(i) High CHO diet (60% CHO, 25% fat)
BMI: 27.3 kg/m2
(i) No significant changeBetween-group analysis NR.
(ii) Baseline
BMI: 27.1 kg/m2
(ii) Hazelnut diet (40% CHO, 40% fat, Hazelnut amount NR)
BMI: 27.1 kg/m2
(ii) No significant change
Damavandi et al., 2012 [37]Randomised parallel
2 treatments
50 (16 M, 34 F) with type 2 diabetes8 weeks(i)Baseline
Weight: 72.13 kg
BMI: 28.47 kg/m2
(i) Hazelnut (10% TE)
Weight: 71.47 kg
BMI: 27.92 kg/m2
(i) No significant changeNo significant between-group differences in body weight or BMI.
(ii) Baseline
Weight: 71.98 kg
BMI: 28.18 kg/m2
(ii) Control: no hazelnuts
Weight: 71.64 kg
BMI: 28.08 kg/m2
(ii) No significant change
Deon et al., 2018 [39]Randomised parallel
3 treatments
66 children and adolescents (35 M 31 F) with hyperlipidaemia8 weeks(i) Baseline
Weight: 44.4 kg
BMI: 20.4 kg/m2
(i) Hazelnuts with skin (0.43 g/kg (15–30 g/d))
Weight: 45.0 kg
BMI: 20.3 kg/m2
(i) No significant change for BMINo significant between-group differences in BMI, there was a time effect for height and weight.
(ii) Baseline
Weight: 47.8 kg
BMI: 20.3 kg/m2
(ii) Hazelnuts without skin (0.43 g/kg (15–30 g/d))
Weight: 48.4 kg
BMI: 20.3 kg/m2
(ii) No significant change for BMI
(iii) Baseline
Weight: 49.5 kg
BMI: 20.9 kg/m2
(iii) Control: no hazelnuts
Weight: 50.0 kg
BMI: 20.8 kg/m2
(iii) No significant change for BMI
Di Renzo et al., 2014 [52]Sequential intervention periods
2 treatments
24 participants
BMI ≥ 19 kg/m2
4 weeks(i) Baseline
Weight: 66.15 kg
(i) 4 week standard diet (Italian Mediterranean diet)
Weight: 67.8 kg
WC: 77.44 cm
HC: 97.5 cm
Fat mass: 16.93 kg
LBM: 34.56 kg
NRHC and LBM was significantly higher, and fat mass was significantly lower after the hazelnut diet compared to the standard diet (all p < 0.05).
(ii) Baseline
NR
(ii) Hazelnuts (40 g/d)
Weight: 66.8 kg
WC: 76.43 cm
HC: 99.76 cm
Fat mass: 14.83 kg
LBM: 35.07 kg
Di Renzo et al., 2019 [53]Single intervention
Pilot
24 (14 M, 10 F)
healthy
6 weeks(i) Baseline
Weight: 71.4 kg
BMI: 25.95 kg/m2
WC: 86.25 cm
AC: 94.00 cm
HC: 98.25 cm
Total body fat: 34.75 kg
Total BF: 29.65%
Android BF: 28.75%
Gynoid BF: 21.08%
LBM: 47.63 kg
ASMMI: 8.37
(i) Hazelnuts (40 g/d)
Weight: 71.05 kg
BMI: 25.76 kg/m2
WC: 85.00 cm
AC: 93.50 cm
HC: 99.00 cm
Total body fat: 34.95 kg
Total BF: 29.05%
Android BF: 28.80%
Gynoid BF: 21.34%
LBM: 48.09 kg
ASMMI: 8.05
(i) AC was significantly lower after the hazelnut interventionN/A, single intervention
Durak et al., 1999 [54]Single intervention 30 (18 M, 12 F)
Healthy
Medical students
1 month(i) Habitual diet
Weight: 68.7 kg
(i) Hazelnuts (1 g/kg BW (68–69 g))
Weight: 69.2 kg
(i) No significant changeN/A, single intervention
Mercanligil et al., 2007 [55]Sequential intervention periods
2 treatments
15 (15 M, 0 F)
Hyper-cholesterolaemic
4 weeks(i) Baseline
Weight: 74.3 kg
(i) Control LF, high CHO diet
Weight: 74.2 kg
(i) No significant changeNo significant between-group differences in body weight.
(ii) Baseline
Weight: 74.3 kg
(ii) Control + Hazelnuts (40 g/d)
Weight: 74.0 kg
(ii) No significant change
Michels et al., 2018 [56]Single intervention32 (10 M, 22F F) healthy, non-frequent nut consumers, Vit E intake <10 mg a-tocopherol/d, no Vit E supplements in previous 12 months16 weeks(i) Baseline
BMI: 26.1 kg/m2
(i) Hazelnuts, dry roasted (~57 g/day)
BMI: 26.3 kg/m2
(i) BMI: +0.2 kg/m2
(p = 0.009)
N/A, single intervention
Orem et al., 2013 [57]Double control sandwich model
intervention
21 (18 M, 3 F) Hyper-cholesterolaemic4 weeks(i) 4 week no-nut
(Control I) diet
Weight: 81.0 kg
BMI: 27.4 kg/m2
(ii) 4-week hazelnut-enriched diet (49–86 g/d
(18–20% TER))
Weight: 79.1 kg
BMI: 26.9 kg/m2
(i) to (ii):
Weight: −0.9 kg; −2.3%
BMI: −0.5 kg/m2; −2.02%
Body weight and BMI were significantly different between (i) and (ii) and between (i) and (iii). There was no significant difference in body weight or BMI between (ii) and (iii).
(ii) 4-week hazelnut-enriched diet (49–86 g/d
(18–20% TER))
Weight: 79.1 kg
BMI: 26.9 kg/m2
(iii) 4 week no-nut (Control II) diet
Weight: 79.5 kg
BMI: 26.9 kg/m2
(ii) to (iii):
Weight: +0.4 kg; +0.4%
BMI: no numerical change; +0.07%
Santi et al., 2017 [58]Double control sandwich model
intervention
24 (14 M, 10 F)
Healthy, BMI > 19 kg/m2, <30 kg/m2
6-weeks(i) 2-week ‘standard’ diet(ii) 6-week raw hazelnut (40 g/d)
(iii) 6-week ‘standard’ diet ‘washout’
No significant changes in body weightNR
Tey et al., 2011 [43]Randomised
Crossover
3 treatments
48 (20 M, 28 F)
Mildly hyper-cholesterolaemic
4 weeks(i) Baseline
Weight: 73.7 kg
BMI: 25.7 kg/m2
(i) Ground hazelnuts (30 g/d)
Weight: 73.8 kg
BMI: 25.8 kg/m2
(i) No significant changeNo significant between-group differences in body weight or BMI.
(ii) Baseline
Weight: 73.7 kg
BMI: 25.7 kg/m2
(ii) Sliced hazelnuts (30 g/d)
Weight: 74.0 kg
BMI: 25.9 kg/m2
(ii) No significant change
(iii) Baseline
Weight: 73.7 kg
BMI: 25.7 kg/m2
(iii) Whole hazelnuts (30 g/d)
Weight: 74.0 kg
BMI: 25.9 kg/m2
(iii) No significant change
Tey et al., 2011 [45]Randomised
Parallel
4 treatments
118 (55 M, 63 F)
Healthy, BMI < 30 kg/m2
12 weeks(i) Baseline
Weight: 67.3 kg
BMI: 22.9 kg/m2
Body fat: 25.8%
Waist circ: 79.0 cm
(i) Control (no hazelnuts)
Weight: 67.76 kg
BMI: 23.04 kg/m2
Body fat: 24.96%
Waist circ: 80.36 cm
(i) No significant changeNo significant between-group differences in body weight, BMI, body fat, and waist circumference.
(ii) Baseline
Weight: 72.0 kg
BMI: 24.6 kg/m2
Body fat: 28.1%
Waist circ: 82.1 cm
(ii) Hazelnuts (42 g/d)
Weight: 72.83 kg
BMI: 24.88 kg/m2
Body fat: 27.35%
Waist circ: 84.23 cm
(ii) No significant change
(iii) Baseline
Weight: 69.2 kg
BMI: 23.6 kg/m2
Body fat: 26.7%
Waist circ: 80.2 cm
(iii) Chocolate (50 g/d)
Weight: 69.79 kg
BMI: 23.81 kg/m2
Body fat: 25.47%
Waist circ: 81.5 cm
(iii) No significant change
(iv) Baseline
Weight: 69.5 kg
BMI: 23.9 kg/m2
Body fat: 26.9%
Waist circ: 81.7 cm
(iv) Potato crisps (50 g/d)
Weight: 70.0 kg
BMI: 24.05 kg/m2
Body fat: 25.81%
Waist circ: 81.17 cm
(iv) No significant change
Tey et al., 2013 [47]Randomised
Parallel
3 treatments
107 (46 M, 61 F)
Overweight and obese individuals with a BMI ≥ 25 kg/m2
12 weeks(i) Baseline
Weight: 88.7 kg
BMI: 30.4 kg/m2
Body fat: 33.9%
Fat mass: 30.1 kg
Fat-free mass: 58.7 kg
(i) Control (no hazelnuts)
Weight: 88.7 kg
BMI: 30.4 kg/m2
Body fat: 33.9%
Fat mass: 30.1 kg
Fat-free mass: 58.6 kg
(i) No significant changeThere were no significant differences in body weight, BMI, body fat percent, fat mass, and fat-free mass between the treatments.
(ii) Baseline
Weight: 86.2 kg
BMI: 30.7 kg/m2
Body fat: 35.4%
Fat mass: 30.7 kg
Fat-free mass: 55.5 kg
(ii) Hazelnuts (30 g/d)
Weight: 86.2 kg
BMI: 30.7 kg/m2
Body fat: 35.4%
Fat mass: 30.7 kg
Fat-free mass: 55.6 kg
(ii) No significant change
(iii) Baseline
Weight: 92.0 kg
BMI: 30.9 kg/m2
Body fat: 35.0%
Fat mass: 32.5 kg
Fat-free mass: 59.5 kg
(iii) Hazelnuts (60 g/d)
Weight: 92.2 kg
BMI: 30.9 kg/m2
Body fat: 34.9%
Fat mass: 32.5 kg
Fat-free mass: 59.7 kg
(iii) No significant change
Tey et al., 2015 [59]Single intervention 20 Māori (8 M, 12 F) and 19 (5 M, 14 F) European aged above 18 years4 weeksMāori
(i) Baseline
Weight ^: 76.3 kg
BMI ^: 25.5 kg/m2
Body fat ^: 26.9%
Māori
(i) Hazelnuts (30 g/d)
Weight ^: 76.3 kg
BMI ^: 25.5 kg/m2
Body fat ^: 27.3%
Māori
(i) No significant change
N/A, single intervention, but there were no significant differences in body weight, BMI, and body fat percent between Māori and Europeans.
European
(ii) Baseline
Weight ^: 71.5 kg
BMI ^: 24.4 kg/m2
Body fat ^: 25.9%
European
(ii) Hazelnuts (30 g/d)
Weight ^: 71.8 kg
BMI ^: 24.4 kg/m2
Body fat ^: 26.6%
European
(i) No significant change
Tey et al., 2017 [49]Randomised
Crossover
2 treatments
72 (24 M, 48 F)
Aged 18 years and above
4 weeks(i) Baseline
Weight: 76.7 kg
BMI: 26.7 kg/m2
Body fat: 32.0%
Fat mass: 25.1 kg
Fat-free mass: 51.6 kg
(i) Raw hazelnuts (30 g/d)
Weight: 76.57 kg
BMI: 26.65 kg/m2
Body fat: 31.83%
Fat mass: 24.83 kg
Fat-free mass: 51.71 kg
(i) No significant changeThere were no significant differences in body weight, BMI, body fat, fat mass, and fat-free mass between the treatments.
(ii) Baseline
Weight: 76.7 kg
BMI: 26.7 kg/m2
Body fat: 32.0%
Fat mass: 25.1 kg
Fat-free mass: 51.6 kg
(ii) Dry roasted, lightly salted hazelnuts (30 g/d)
Weight: 76.67 kg
BMI: 26.68 kg/m2
Body fat: 31.86%
Fat mass: 24.96 kg
Fat-free mass: 51.69 kg
(ii) No significant change
Yilmaz et al., 2019 [50]Randomised
Parallel
4 treatments
37 (0 M, 37 F)
Hyperlipidaemia, Obese
6 weeks(i) Baseline
Weight: 78.5 kg
BMI: 35.7 kg/m2
Waist circ: 104.1 cm
Waist/Hip ratio: 0.88
Fat mass: 34.0 kg
Fat mass: 43.1%
(i) Hazelnuts (50 g/d) and cardioprotective diet
Weight: 76.0 kg
BMI: 34.5 kg/m2
Waist circ: 98.3 cm
Waist/Hip ratio: 0.85
Fat mass: 31.8 kg
Fat mass: 41.7%
(i) Hazelnuts (50 g/d)
Weight: −2.5 kg (p = 0.030)
BMI: −1.2 kg/m2 (p = 0.031)
Waist circ: −5.7 cm (p = 0.113)
Waist/Hip ratio: −0.03 (p = 0.650)
Fat mass: −2.21 kg (p = 0.005)
Fat mass: −1.41% (p = 0.001)
There were no significant differences in body weight, BMI, waist circumference, waist/hip ratio, and fat mass between the treatments.
(ii) Baseline
Weight: 83.7 kg
BMI: 35.8 kg/m2
Waist circ: 106.1 cm
Waist/Hip ratio: 0.89
Fat mass: 35.4 kg
Fat mass: 41.9%
(ii) Raisins (50 g/d) and cardioprotective diet
Weight: 82.2 kg
BMI: 35.1 kg/m2
Waist circ: 101.2 cm
Waist/Hip ratio: 0.86
Fat mass: 34.1 kg
Fat mass: 41.1%
(ii) Raisins (50 g/d)
Weight: −1.5 kg (p = 0.074)
BMI: −0.7 kg/m2 (p = 0.046)
Waist circ: −4.9 cm (p = 0.0001)
Waist/Hip ratio: −0.03 (p = 0.009)
Fat mass: −1.32 kg (p = 0.021)
Fat mass: −0.90% (p = 0.241)
(iii) Baseline

Weight: 80.0 kg
BMI: 34.6 kg/m2
Waist circ: 98.3 cm
Waist/Hip ratio: 0.85
Fat mass: 33.3 kg
Fat mass: 41.4%
(iii) Hazelnuts (50 g/d) and Raisins (50 g/d) and cardioprotective diet
Weight: 77.9 kg
BMI: 33.6 kg/m2
Waist circ: 95.1 cm
Waist/Hip ratio: 0.85
Fat mass: 31.1 kg
Fat mass: 39.6%
(iii) Hazelnuts (50 g/d) and Raisins (50 g/d)
Weight: −2.1 kg (p = 0.002)
BMI: −0.9 kg/m2 (p = 0.004)
Waist circ: −3.2 cm (p = 0.122)
Waist/Hip ratio: −0.01 (p = 1.000)
Fat mass: −2.26 kg (p = 0.001)
Fat mass: −1.72% (p = 0.002)
(iv) Baseline
Weight: 81.9 kg
BMI: 36.0 kg/m2
Waist circ: 108.1 cm
Waist/Hip ratio: 0.91
Fat mass: 35.7 kg
Fat mass: 43.4%
(iv) Control (Cardioprotective diet)
Weight: 79.6 kg
BMI: 34.9 kg/m2
Waist circ: 99.9 cm
Waist/Hip ratio: 0.87
Fat mass: 33.5 kg
Fat mass: 41.9%
(iv) Control (Cardioprotective diet)
Weight: −2.4 kg (p = 0.017)
BMI: −1.1 kg/m2 (p = 0.020)
Waist circ: −8.2 cm (p = 0.002)
Waist/Hip ratio: −0.05 (p = 0.009)
Fat mass: −2.17 kg (p = 0.002)
Fat mass: −1.42% (p = 0.003)
Yucesan et al., 2010 [60]Single intervention21 (8 M, 13 F)
Normolipidaemic
4 weeks(i) Baseline:
64.5 kg
(i) Hazelnuts (1 g/kg BW (49–86 g/d)): 64.7 kg(i) No significant changeN/A, single intervention
Abbreviations used: AC, abdominal circumference; ASMMI: appendicular skeletal muscle mass index; BF, body fat; BMI, body mass index; BW, body weight; CHO, carbohydrate; circ, circumference; F, female; HC, hip circumference; LBM, lean body mass; LF, low fat; M, male; N/A, not applicable; NR, not reported; TE, total energy; TER, total energy requirement; WC, waist circumference. All values are arithmetic means unless otherwise stated. 1 Change (within-group) = Post-treatment value minus Pre-treatment value (i.e., baseline). ^ Geometric mean. Median.
Table 7. Effects of hazelnut consumption on blood pressure (n = 7).
Table 7. Effects of hazelnut consumption on blood pressure (n = 7).
Author, YearStudy DesignParticipant CharacteristicsDurationTreatmentSBP
mmHg
DBP
mmHg
Between Treatments
Deon et al., 2018 [39]Randomised parallel
3 treatments
66 children and adolescents (35 M 31 F) with hyperlipidaemia8 weeks(i) Baseline103.065.6No significant differences in systolic blood pressure or diastolic blood pressure between the treatments.
Hazelnuts with skin (0.43 g/kg (15–30 g/d))105.266.4
Change 1+2.2+0.8
(ii) Baseline102.865.1
Hazelnuts without skin (0.43 g/kg (15–30 g/d))102.566.3
Change 1−0.3+1.2
(iii) Baseline106.868.0
Control109.067.1
Change 1+2.2−0.9
Di Renzo et al., 2019 [53]Single intervention
Pilot
24 (14 M, 10 F)
healthy
6 weeksBaseline 116.573.0N/A, single intervention.
(i) Hazelnuts (40 g/d) 112.075.0
Change 1−4.5+2.0
Michels et al., 2018 [56] Single intervention32 (10 M, 22 F) healthy, non-frequent nut consumers, Vit E intake <10 mg a-tocopherol/d, no Vit E supplements in previous 12 months16 weeksBaseline12076.6N/A, single intervention.
(i) Hazelnuts, dry roasted (~57 g/d)12076.3
Change 10−0.3
Tey et al., 2013 [47] Randomised
Parallel
2 treatments
107 (46 M, 61 F)
Overweight and obese individuals with a BMI ≥ 25 kg/m2
12 weeksBaseline12875.3No significant difference in systolic and diastolic blood pressure between the treatments.
(i) Control (no hazelnuts) 12372.9
Change 1−5 a−2.4 a
Baseline12673.2
(ii) Hazelnuts (30 g/d)12472.6
Change 1−2−0.6
Baseline12476.3
(iii) Hazelnuts (60 g/d)12173.3
Change 1−3 a−3.0 a
Tey et al., 2015 [59]Single intervention20 Māori (8 M, 12 F) and 19 (5 M, 14 F) European aged above 18 years4 weeksMāori
Baseline ^
(i) Raw hazelnuts (30 g/d) ^
Change 1
123.6
117.1
N/R
67.7
68.5
N/R
N/A, single intervention, but there were no significant differences in systolic and diastolic blood pressure between Māori and Europeans.
European
Baseline ^
(i) Raw hazelnuts (30 g/d) ^
Change 1
120.1
118.4
N/R
65.5
65.1
N/R
Tey et al., 2017 [49] Randomised
Crossover
2 treatments
72 (24 M, 48 F)
Aged 18 years and above
4 weeksBaseline12473.5No significant differences in systolic blood pressure between the treatments. There was a tendency that diastolic blood pressure was lower after consuming dry roasted and lightly salted hazelnuts.
(i) Raw hazelnuts (30 g/d) 12272.7
Change 1−2.0 a−0.8
Baseline12473.5
(ii) Dry roasted, lightly salted hazelnuts (30 g/d)121.171.5
Change 1−2.9 b−2.0 b
Yilmaz et al., 2019 [50]Randomised
Parallel
4 treatments
37 (0 M, 37 F)
Hyperlipidaemia, Obese
6 weeksBaseline121.777.2No significant difference in systolic and diastolic blood pressure between the treatments.
(i) Hazelnuts (50 g/d) and cardioprotective diet121.175.6
Change 1−0.6−1.7
Baseline123.376.7
(ii) Raisins (50 g/d) and cardioprotective diet119.476.7
Change 1−3.90.0
Baseline123.679.7
(iii) Hazelnuts (50 g/d) and Raisins (50 g/d) and cardioprotective diet115.675.6
Change 1−8.0 a−4.1
Baseline126.080.5
(iv) Control (Cardioprotective diet)122.077.5
Change 1−4.0−3.0
Abbreviations used: DBP, diastolic blood pressure; F, female; M, male; N/A, not applicable; SBP, systolic blood pressure. All values are arithmetic means unless otherwise stated. 1 Change (within-group) = Post-treatment value minus Pre-treatment value (i.e., baseline); a p < 0.05; b p < 0.01; only for those which reported within-group change. ^ Geometric mean. Median.
Table 8. Effects of hazelnut consumption on glycaemic outcomes (n = 9).
Table 8. Effects of hazelnut consumption on glycaemic outcomes (n = 9).
Author, YearStudy DesignParticipant CharacteristicsDurationTreatmentOutcome Measurements: Results
Acute study
Devi et al., 2016 [40]Randomised crossover
4 treatments
32 (11 M 21 F) healthy Acute 2 h(i) Bread containing 30 g finely sliced hazelnuts per 120 g2 h iAUC for blood glucose
(i) 152 mmol/L·min
(ii) Bread containing 30 g defatted hazelnut flour per 120 g (ii) 137 mmol/L·min
(iii) Bread containing 15 g finely sliced hazelnuts and 15 g defatted hazelnut flour per 120 g(iii) 154 mmol/L·min
(iv) Control white bread with no nuts(iv) 179 mmol/L·min
All hazelnut breads had a lower iAUC compared to the control bread (all p < 0.001). There were no significant differences between breads.
Chronic studies
Adamo et al., 2017 [36]Randomised parallel
6 treatments
61 (31 M, 30 F)
Healthy BMI
2 weeksBreakfasts including:
(i) 30 g peeled hazelnut paste
Insulin and HOMA-IR
Insulin and HOMA-IR remained stable in those consuming the hazelnut-only enriched breakfasts. Actual data was not presented.
(ii) 30 g unpeeled hazelnut paste
(iii) snack with 30 g peeled hazelnut paste
(iv) snack with 2.5 g cocoa powder
(v) Snack with 30 g/d peeled hazelnut paste and 2.5 g cocoa powder
(vi) no snack control group
N.B. Data was only presented for treatments vs. control i.e., no other between-group comparisons were reported
Alphan et al., 1997 [51]Sequential intervention periods
2 treatments
19 (5 M, 14 F)
Type 2 diabetics
30 days(i) High CHO diet (60% CHO, 25% fat):
HbA1c
Baseline: 8.1%
End: 7.8%
Change: −0.3%

FBG
Baseline6.92 mmol/L
End: 6.94 mmol/L
Change: +0.02 mmol/L

PPBG
Baseline9.16 mmol/L
End: 8.49 mmol/L
Change: −0.67 mmol/L

Fasting insulin
Baseline: 86.4 pmol/L
End: 72.6 pmol/L
Change: −13.4 pmol/L

PP insulin
Baseline 249.0 pmol/L
End: 196.8 pmol/L
Change: −52.2 pmol/L
Between-group analysis NR.
(ii) Hazelnut diet (40% CHO, 45% fat, amount of hazelnuts NR):
HbA1c
Baseline: 8.3%
End: 7.2%
Change: −1.1% a

FBG:
Baseline: 7.28 mmol/L
End: 7.28 mmol/L
Change: 0.00 mmol/L

PPBG
Baseline: 8.37 mmol/L
End:8.28 mmol/L
Change: −0.09 mmol/L

Fasting insulin
Baseline: 78.0 pmol/L
End:97.2 pmol/L
Change: +19.2 pmol/L

PP insulin
Baseline: 223.2 pmol/L
End: 225.0 pmol/L
Change: +1.8 pmol/L
Damavandi et al., 2012 [37]Randomised parallel
2 treatments
50 (16 M, 34 F) participants with type 2 diabetes8 weeks(i) Control: No hazelnuts
FBG
Baseline: 8.69 mmol/L
End: 8.97 mmol/L
Change: +0.28 mmol/L
Fasting blood glucose
There were no significant differences in fasting blood glucose concentrations
(ii) 10% of total energy hazelnuts
FBG
Baseline: 8.10 mmol/L
End: 8.04 mmol/L
Change: −0.06 mmol/L
Michels et al., 2018 [56]Single intervention32 (10 M, 22F F) healthy, non-frequent nut consumers, Vit E intake <10 mg a-tocopherol/d, no Vit E supplements in previous 12 months16 weeks(i) Baseline
FBG: 5.67 mmol/L
Fasting insulin: 48.6 pmol/L
Significant reduction in plasma FBG (−3.4%, p = 0.03) after 16 weeks consuming 57 g/day hazelnuts. There was no significant change in fasting insulin.
(ii) Hazelnuts, dry roasted (~57 g/day)
FBG: 5.5 mmol/L
Fasting insulin: 49.8 pmol/L
Orem et al., 2013 [57]Double control sandwich model intervention21 (18 M, 3 F) Hyper-cholesterolaemic4 weeks(i) 4 week no-nut (Control I) diet
FBG: 5.22 mmol/L
Fasting insulin: 42.6 pmol/L
HOMA-IR: 1.69
There was no significant difference in FBG, fasting insulin, or HOMA-IR between treatments.
(ii) 4-week hazelnut-enriched diet (49–86 g/d (18–20% TER))
FBG: 5.11 mmol/L, Δ: −1.52%
Fasting insulin: 45.6 pmol/L, Δ: +14.7%
HOMA-IR: 1.78, Δ: +13.1%
(iii) 4-week no-nut (Control II) diet
FBG: 4.89 mmol/L, Δ: −3.51%
Fasting insulin: 37.8 pmol/L, Δ: −11.9%
HOMA-IR: 1.39, Δ: −12.7%
Santi et al., 2017 [58]Double control sandwich model intervention24 (14 M, 10 F)
Healthy
BMI > 19 kg/m2, <30 kg/m2
6 weeks(i) 2-week ‘standard’ diet
FBG: 4.79 mmol/L
There was no significant difference in FBG between treatments.
(ii) 6-week 40 g raw hazelnut
FBG: 4.76 mmol/L
(iii) 6-week ‘standard’ diet ‘washout’
FBG: 4.77 mmol/L
Tey et al., 2017 [49]Randomised
Crossover
2 treatments
72 (24 M, 48 F)
Aged 18 years and above
4 weeksFasting blood glucose
Baseline: 4.82 mmol/L
(i) Raw hazelnuts (30 g/d): 4.80 mmol/L
Change: −0.02 mmol/L
There was no significant difference in fasting blood glucose between the treatments.
Baseline: 4.82 mmol/L
(ii) Dry roasted, lightly salted hazelnuts (30 g/d): 4.81 mmol/L
Change: −0.01 mmol/L
Yilmaz et al., 2019
[50]
Randomised
Parallel
4 treatments
37 (0 M, 37 F)
Hyperlipidaemia, Obese
6 weeksFasting blood glucose
Baseline: 5.23 mmol/L
(i) Hazelnuts (50 g/d): 5.18 mmol/L
Change: −0.05 mmol/L
There was no significant difference in fasting blood glucose between the treatments.
Baseline: 5.16 mmol/L
(ii) Raisins (50 g/d): 5.64 mmol/L
Change: +0.48 mmol/L
Baseline: 5.33 mmol/L
(iii) Hazelnuts (50 g/d) and Raisins (50 g/d): 5.17 mmol/L
Change: −0.16 mmol/L
Baseline: 5.26 mmol/L
(iv) Control (Cardioprotective diet): 5.47 mmol/L
Change: +0.21 mmol/L
To convert mmol/L blood glucose to mg/dL, multiply mmol/L by 18. Abbreviations used: F, female; FBG, fasting blood glucose; HbA1c, glycated haemoglobin; HOMA-IR, homeostasis model-insulin resistance; iAUC, incremental area under the curve; M, male; NR, not reported; PP, postprandial; PPBG, postprandial blood glucose; TER, total energy requirement. All values are arithmetic means unless otherwise stated. a p < 0.05 only for those which reported within-group change.
Table 9. Effects of hazelnut consumption on antioxidant, oxidative stress, inflammatory markers, and endothelial function (n = 16).
Table 9. Effects of hazelnut consumption on antioxidant, oxidative stress, inflammatory markers, and endothelial function (n = 16).
Author, YearStudy DesignParticipant
Characteristics
DurationTreatmentsOutcome Measurements: Results 1
Acute study
Di Renzo et al., 2017 [41]Randomised crossover
2 treatments
22
healthy
BMI ≥ 19 kg/m2
BMI < 30 kg/m2
3 h(i) A high-fat McDonald’s mealOxidised LDL using ELISA kits
(i) Levels increased significantly by 18% from fasting to after the McDonald’s meal a (ii) No significant difference in levels for the McDonald’s meal with 40 g of hazelnuts
Levels were significantly lower after the McDonald’s meal with 40 g of hazelnuts compared to the McDonald’s meal (−24.43%, p < 0.05)
N.B. Actual baseline and end of study values NR
(ii) A high-fat McDonald’s meal with 40 g of hazelnuts
Chronic studies
Adamo et al., 2017 [36]Randomised parallel
6 treatments
61 (31 M, 30 F)
Healthy BMI
2-weeksBreakfasts including:
(i) 30 g/d peeled hazelnut paste
(ii) 30 g/d unpeeled hazelnut paste
(iii) snack with 30 g/d peeled hazelnut paste
(iv) snack with 2.5 g/d cocoa powder
(v) Snack with 30 g/d peeled hazelnut paste and 2.5 g/d cocoa powder
(vi) no snack control group
Peak systolic velocities (PSV), using Doppler ultrasound, at rest vs. control
(i) Change: +80.5% a
(ii) Change: +16.9%
(iii) Change: +33.7%
(iv) Change: +31.5%
(v) Change: +26.4%
Compared to the control group PSV at rest increased significantly in the peeled hazelnut paste group (57.8%, p = 0.04); the unpeeled hazelnut group (56.9%, p = 0.04); the snack with peeled hazelnut paste group (95.1%, p = 0.002); the peeled hazelnuts and cocoa powder group (68.5%, p = 0.01). No significant differences between the snack group with 2.5 g/d cocoa powder and control
Peak systolic velocities (PSV) after 3 min of occlusion:
(i) Change: +102.7%
(ii) Change: +15.6%
(iii) Change: +60.7%
(iv) Change: −7.1%
(v) Change: +64.7%
Compared to the control, there were significant increases in the snack with 30 g/d of peeled hazelnut (67.3%, p = 0.002); and in the snack with 30 g/d peeled hazelnut paste and 2.5 g cocoa powder group (22.9%, p = 0.04).
Erythrocyte sedimentation rate and hs-CRP
No between-group differences for ESR or hs-CRP
Heart rate
No significant differences in heart rate
N.B. Data was only presented for treatments vs. control, i.e., no other between-group comparisons were reported. Actual follow-up values NR. Actual end of study values for Erythrocyte sedimentation rate, hs-CRP, and heart rate NR
Damavandi et al., 2012 [37]Randomised parallel
2 treatments
50 ((16 M, 34 F) with type 2 diabetes8 weeks(i) Control: no hazelnuts
(ii) 10% of total energy hazelnuts
Total antioxidant capacity using colorimetric methods
(i) Baseline: 11.19 U/mL
End: 9.47 U/mL
Change: −1.72 U/mL c
(ii) Baseline: 11.39 U/mL
End: 974 U/mL
Change: −1.65 U/mL b
No significant differences between-groups
hs-CRP
(i) Baseline: 1.14 mg/L
End: 1.68 mg/L
Change: +0.54 mg/L
(ii) Baseline: 1.39 mg/L
End: 1.17 mg/L
Change: −0.22 mg/L
No significant differences between-groups
Paraoxonase−1 activity
(i) Baseline: 68.01 U/mL
End: 70.47 U/mL
Change: +2.47 U/mL
(ii) Baseline: 66.38 U/mL
End: 64.55 U/mL
Change: −1.73 U/mL
No significant differences between-groups
Di Renzo et al., 2014 [52]Sequential intervention periods
2 treatments
24
BMI ≥ 19 kg/m2
4 weeks(i) 4-week standard diet (Italian Mediterranean diet)
(ii) 4-week standard diet with hazelnuts 40 g/d
Oxidised LDL using ELISA kits
(i) study end: 40.38 U/L
(ii) study end: 36.99 U/L b
Oxidised LDL was significantly lower after hazelnut diet compared to after standard diet (p < 0.05).
Gene expression was assessed using Quantitative Real-Time PCR (RT2 Profiler PCR assays
The following genes were upregulated after hazelnut consumption a: BNIP3, GPX2, GSR, HSPAIA, TTN, TXNRDI
The following genes were downregulated after hazelnut consumption a: CCL5, KRTI, MBL2, PRDX6, SODI
Di Renzo et al., 2019 [53]Single intervention
Pilot
24 (14 M, 10 F)
healthy
6 weeks(i) Hazelnuts 40 g/dGene expression was assessed using Quantitative Real Time PCR (RT2 Profiler PCR assays
There was significant upregulation in the following genes after consuming hazelnuts a:
superoxide dismutase (SODI) and catalase (CAT), macrophage migration inhibitory factor (MFI), peroxisome proliferator-activated receptor gamma (PPARγ), vitamin D receptor (VDR), methylenetetrahydrofolate reductase (MTHFR), angiotensin I-converting enzyme (ACE)—all involved in antioxidant and/or anti-inflammatory pathways
No significant change in the expression of the
following genes after consuming hazelnuts:
apolipoprotein E (APOE), interleukin 6 receptor (IL6R), nuclear factor of kappa light polypeptide gene enhancer in B-cell 1 (NFKB1), insulin-like growth
factor 2 receptor (IFG2R), upstream transcription factor 1 (USF1)
Durak et al., 1999 [54]Single intervention30 (18 M, 12 F)
Healthy
Medical students
1 month(i) Hazelnuts (1 g/kg BW (68–69 g))Antioxidant potential by measuring TBARS (1/nmol/mL·h):
(i) Baseline: 0.09, Hazelnut: 0.11, Δ: +0.02 c
Plasma malondialdehyde quantified as tissue thiobarbituric acid-reactive material (nmol/mL):
(i) Baseline: 1.33, Hazelnuts: 0.99, Δ: −0.34 c
Guaraldi et al., 2018 [42]Parallel intervention60 children and adolescents (mean age 11.6 ± 2.6 years) with hyperlipidaemia8 weeks(i) Control (No nuts)
(ii) Hazelnuts with skin (15–30 g/d)
(iii) Hazelnuts without skin (15–30 g/d)
DNA strand breaks using COMET assay
Using endonuclease buffer (%DNA in tail)
(i) Baseline: 17.44%
End: 13.65%
Change: −3.65% a
(ii) Baseline: 18.66%
End: 13.41%
Change: −5.25% a
(iii) Baseline: 19.70%
End: 16.00%
Change: −3.70% a
No differences between treatments.
DNA strand breaks using phosphate buffer saline (%DNA in tail)
(i) Baseline: 6.85%
End: 6.25%
Change: −0.60%
(ii) Baseline: 6.53%
End: 6.83%
Change: +0.30%
(iii) Baseline: 6.15%
End: 6.64%
Change: +0.49%
No differences between treatments.
FPG-sensitive sites in PBMCs measured using the enzyme formamidopyrimidine DNA glycosylase
(% DNA in tail)
(i) Baseline: 15.9%
End: 18.9%
Change: +3.0% a
(ii) Baseline: 14.7%
End: 10.5%
Change: −4.2% b
(iii) Baseline: 13.9%
End: 10.1%
Change: −3.8% b
Significant between-group differences (p = 0.001) between the 2 hazelnut groups and the control group.
H2O2-induced DNA damage using COMET assay
(% DNA in tail)
(i) Baseline: 35.3%
End: 29.6%
Change: −5.7%
(ii) Baseline: 36.6%
End: 28.7%
Change: −7.9% b
(iii) Baseline: 37.4%
End: 32.0%
Change: −5.4%
No significant differences between treatments
Oxidised LDL by ELISA
(i) Baseline: 54.1 U/L
End: 55.1 U/L
Change: 1.0 U/L
(ii) Baseline: 54.5 U/L
End: 53.3 U/L
Change: −1.2 U/L
(iii) Baseline: Not measured
End: Not measured
Change: Not measured
No significant differences between treatments
Mercanligil et al., 2007 [55]Sequential intervention periods
2 treatments
15 (15 M, 0 F)
Hyper-cholesterolaemic
4 weeks(i) Control LF, low cholesterol, high CHO dietVascular endothelium function by Doppler ultrasound
(i) Baseline: NR, Control: NR, Change: NR
(ii) Baseline: NR, Hazelnuts: NR, Change: NR
(ii) Control + Hazelnuts (40 g/d)There were no significant differences in endothelial function between the groups.
Michels et al., 2018 [56]Single intervention32 (10 M, 22F F) healthy, non-frequent nut consumers, Vit E intake <10 mg a-tocopherol/d, no Vit E supplements in previous 12 months16 weeksBaseline
(i) Hazelnuts, dry roasted (~57 g/d)
No significant change in serum hs-CRP
No significant change in plasma α-tocopherol or ɣ-tocopherol, mmol/mol lipid (Mol lipid = total cholesterol + TGs), measured using HPLC
Urinary α-carboxyethyl hydroxychomanol and g-carboxyethyl hydroxychomanol (used to assess Vit E), measured using mass spectroscopy:
α-CECH
Baseline: 0.844 mmol/g creatinine, Hazelnut diet: 1.14 mmol/g creatinine Δ = +0.296 c
No significant change in ɣ-CECHe from baseline

Lymphocyte proliferation assay micronutrient profile, percentage of control cells (data are presented as the proliferation rates of cells in test media compared to control (complete) media):
No significant change in α-tocopherol or ɣ-tocopherol (µM) from baseline. Total antioxidant function: Baseline: 56, Hazelnut diet: 60, Change = +4 a
Orem et al., 2013 [57]Double control sandwich model intervention21 (18 M, 3 F) Hyper-cholesterolaemic4-weeks(i) 4 week no-nut (Control I) diet
(ii) 4 week hazelnut-enriched diet (49–86 g/d
(18–20% TER))
(iii) 4 week no-nut (Control II) diet
Flow mediated dilation (%) measured using vascular ultrasound of the brachial artery:
(i) Control I diet: 15.2%
(ii) Hazelnut: 21.8%, Change: +56.6%
(iii) Control II diet: 15.9%, Change: −24.6%
There was a significant difference in flow-mediated dilation between (i) and (ii), and between (ii) and (iii). There was no significant difference between (i) and (iii).
Hs- CRP (mg/L) measured by immunophelometric method:
(i) Control I diet: 1.30 mg/L
(ii) Hazelnut: 0.7 mg/L, Change: −35.9
(iii) Control II diet: 0.90 mg/L, Change: +71.1%
There was a significant difference in Hs-CRP between (i) and (ii), and between (ii) and (iii). There was no significant difference between (i) and (iii).
Oxidised-LDL (U/L) measured using commercial ELISA kits:
(i) Control I diet: 106 U/L
(ii) Hazelnut: 93 U/L, Change: −9.25%
(iii) Control II diet: 102 U/L, Change: +9.77.6%
There was a significant difference in oxidized-LDL between (i) and (ii), and between (ii) and (iii). There was no significant difference between (i) and (iii).
sICAM-1 (ng/mL) measured using commercial ELISA kits:
(i) Control I diet: 236 ng/mL
(ii) Hazelnut: 216 ng/mL, Change: −8.08%
(iii) Control II diet: 234 ng/mL, Change: 6.8%
There was a significant difference in sICAM-1 between (i) and (ii), and between (ii) and (iii). There was no significant difference between (i) and (iii).
sVCAM-1 (ng/mL) measured using commercial ELISA kits:
(i) Control I diet: 981 ng/mL
(ii) Hazelnut: 864 ng/mL, Change: −10.6%
(iii) Control II diet: 1025 ng/mL, Change: +18.4%
There was a significant difference in sVCAM-1 between (i) and (ii), and between (ii) and (iii). There was no significant difference between (i) and (iii).
Adiponectin measured using commercial ELISA kits:
(i) Control I diet: 4598 ng/mL
(ii) Hazelnut: 5615 ng/mL, Change: +29.1%
(iii) Control II diet: 5057 ng/mL, Change: −5.15%
There was a significant difference in adiponectin between (i) and (ii). There was no significant difference between any other treatments.
Plasma α-tocopherol (mg/L) determined by HPLC:
(i) Control I diet: 11.7 mg/L
(ii) Hazelnut: 13.7 mg/L, Change: 16.9%
(iii) Control II diet: 13.1 mg/L, Change: −2.24%
There was a significant difference in plasma α-tocopherol between (i) and (ii), and between (i) and (iii). There was no significant difference between (ii) and (iii).
α-tocopherol in LDL, determined by HPLC (µg/mg LDL protein):
(i) Control I diet: 4.71 µg/mg
(ii) Hazelnut: 5.76 µg/mg, Change: 24.5%
(iii) Control II diet: 4.41 µg/mg, Change: −22.3%
There was a significant difference in α-tocopherol in LDL between (i) and (ii) and between (ii) and (iii). There was no significant difference between (i) and (iii).
Vitamin B12 (pg/mL) measured by enzymatic methods:
(i) Control I diet: 375 pg/mL
(ii) Hazelnut: 386 pg/mL, Change: +2.94%
(iii) Control II diet: 334 pg/mL, Change: −13.8%
There was a significant difference in vitamin B12 between (i) and (iii), and between (ii) and (iii). There was no significant difference between (i) and (ii).
Folic acid (ng/mL), measured by enzymatic methods:
(i) Control I diet: 8.58 ng/mL
(ii) Hazelnut: 9.08 ng/mL, Change: +6.24%
(iii) Control II diet: 8.04 ng/mL, Change: −11.3%
There was a significant difference in folic acid between (ii) and (iii). There was no significant difference between the other treatments.
There was no significant difference in endothelin-1 (fmol/mL) or homocysteine (µmol/L) across any of the treatments, overall p-value p = 0.651 and p = 0.484 respectively.
N.B. p-values for between-group differences NR.
Santi et al., 2017 [58]Double control sandwich model intervention24 (14 M, 10 F)
Healthy
BMI > 19 kg/m2, <30 kg/m2
6-weeks(i) 2-week ‘standard’ diet
(ii) 6-week raw hazelnut (40 g/d)
(iii) 6-week ‘standard’ diet ‘washout’
Uric acid (mg/dL) measured by uricase and peroxidase reactions:
(i): 4.66
(ii): 4.31, Change: −0.35
(iii): 4.66, Change: +0.35
There was a significant (i) vs. (ii) p = 0.025
(i) vs. (iii) p = 0.99
(ii) vs. (iii) p = 0.013
Serum creatinine (mg/dL) measured by creatinine amidohydrolase, sarcosine oxidase and peroxidase reactions:
(i): 0.94
(ii): 0.93, Change: −0.01
(iii): 0.82, Change: −0.11
(i) vs. (ii) p = 0.29
(i) vs. (iii) p ≤ 0.001
(ii) vs. (iii) p = 0.001
Alanine aminotransferase (ALT) (U/L) measured by latticodehydrogenase reactions:
(i): 30.09
(ii): 35.22, Change: +5.13
(iii): 31.52, Change: −3.70
(i) vs. (ii) p = 0.011
(i) vs. (iii) p = 0.065
(ii) vs. (iii) p = 0.99
Gamma-glutamyl transferase (GGT) (U/L) measured by oxaloacetate decarboxylase, pyruvate oxidase and peroxidase reactions:
(i): 38.04
(ii): 35.27, Change: −2.77
(iii): 36.26, Change: +0.99
(i) vs. (ii) p = 0.001
(i) vs. (iii) p = 0.31
(ii) vs. (iii) p = 0.16
There was no significant difference in AST, serum iron, azotaemia, total bilirubin, Hb, WBCs, RBC, platelet count, or total plasma protein content between any of the treatment groups.
Tey et al., 2011 [43]Randomised
Crossover
3 treatments
48 (20 M, 28 F)
Mildly hyper-cholesterolaemic
4 weeks(i) Ground hazelnuts (30 g/d)
(ii) Sliced hazelnuts (30 g/d)
(iii) Whole hazelnuts (30 g/d)
α-tocopherol measured using HPLC (mmol/L):
(i) Baseline: 33.1, Ground: 34.7, Change: +1.6 b
(ii) Baseline: 33.1, Sliced: 34.2, Change: +1.1 b
(iii) Baseline: 33.1, Whole: 34.2, Change: +1.1 b
There was no significant difference in α-tocopherol between different forms of nuts.
Tey et al., 2013 [47]Randomised
Parallel
3 treatments
107 (46 M, 61 F)
Overweight and obese individuals with a BMI ≥ 25 kg/m2
12 weeks(i) Control group (no hazelnuts)
(ii) Hazelnuts (30 g/d)
(iii) Hazelnuts (60 g/d)
α-tocopherol measured using HPLC (µmol/L):
(i) Baseline: 24.3, Control: 24.2, Change: −0.01
(ii) Baseline: 25.4, 30 g/d: 24.6, Change: −0.08
(iii) Baseline: 24.5, 60 g/d: 25.1, Change: +0.6
There was no significant difference in α-tocopherol between the treatments.
Hs-CRP^ measured using a CRP Unimate kit (mg/L):
(i) Baseline: 1.93, Control: 1.75, Change: N/R
(ii) Baseline: 1.47, 30 g/d: 1.45, Change: N/R
(iii) Baseline: 1.51, 60 g/d: 1.37, Change: N/R
There was no significant difference in Hs-CRP between the treatments.
IL-6^ measured using ELISA kits (pg/mL):
(i) Baseline: 1.37, Control: 1.52, Change: N/R
(ii) Baseline: 1.28, 30 g/d: 1.30, Change: N/R
(iii) Baseline: 1.74, 60 g/d: 1.49, Change: N/R
There was no significant difference in IL-6 between the treatments.
ICAM-1 measured using ELISA kits (µg/L):
(i) Baseline: 208, Control: 204, Change: −4
(ii) Baseline: 221, 30 g/d: 206, Change: −15 a
(iii) Baseline: 207, 60 g/d: 195, Change: +12 a
There was no significant difference in ICAM-1 between the treatments.
VCAM-1 measured using ELISA kits (µg/L):
(i) Baseline: 571, Control: 567, Change: −4
(ii) Baseline: 652, 30 g/d: 644, Change: −8
(iii) Baseline: 628, 60 g/d: 586, Change: −42
There was a tendency toward improvement in VCAM-1 in the 60 g/d hazelnut group (p = 0.07).
Tey et al., 2015 [59]Single intervention20 Māori (8 M, 12 F) and 19 (5 M, 14 F) European aged above 18 years4 weeks(i) Raw hazelnuts (30 g/d)Hs-CRP ^ measured using a CRP Unimate kit (mg/L):
Māori: (i) Baseline: 0.42, Hazelnuts: 0.70, Change: N/R
Europeans: (i) Baseline: 0.69, Hazelnuts: 0.83, Change: N/R
Tey et al., 2017 [49]Randomised
Crossover
2 treatments
72 (24 M, 48 F)
Aged 18 years and above
4 weeks(i) Raw hazelnuts (30 g/d)
(ii) Dry roasted, lightly salted hazelnuts (30 g/d)
α-tocopherol measured using HPLC (µmol/L):
(i) Baseline: 30.2, Raw: 31.42, Change: +1.22 b
(ii) Baseline: 30.2, Lightly salted: 31.26, Change: +1.06
There was no significant difference in α-tocopherol between the treatments.
Yucesan et al., 2010 [60]Single intervention21 (8 M, 13 F)
Normolipidaemic
4 weeks(i) Hazelnuts (1 g/kg BW (49–86 g))α-tocopherol in LDL (µg/mg LDL protein), measured using HPLC:
(i) Baseline: 4.82, Hazelnuts: 5.35, Change: +0.53 a
Oxidised LDL (U/L):
(i) Baseline: 57.2, Hazelnut: 48.2, Change: −9.0 b
Hs-CRP (mg/dL), measured using immunophrelometric method:
(i) Baseline: 0.13, Hazelnut: 0.11, Change: −0.02
sVCAM-1 (ng/mL), measured using ELISA kits:
(i) Baseline: 478, Hazelnut: 446, Change: −32
Endothelin-1 (fmol/mL), measured using ELISA kits:
(i) Baseline: 2.04, Hazelnut: 1.99, Change: −0.05
Abbreviations used: BW, body weight; CHEC, carboxyethyl hydrochromanol; CHO, carbohydrate; ELISA, enzyme-linked immunosorbent assay; F, female; HPLC, high-performance liquid chromatography; hs-CRP, high-sensitivity C reactive protein; ICAM-1, intracellular adhesion molecule-1; LDL, low-density lipoprotein; LF, low fat; M, male; NR, not reported; TER, total energy requirement; sVCAM-1, soluble vascular adhesion molecule-1. All values are arithmetic means unless otherwise stated. 1 Change (within-group) = Post-treatment value minus Pre-treatment value (i.e., baseline); a p < 0.05; b p < 0.01; c p < 0.001; only for those which reported within-group change. ^ Geometric mean. Median.
Table 10. Dietary intervention trials investigating the effects of nut consumption on acceptance (n = 7).
Table 10. Dietary intervention trials investigating the effects of nut consumption on acceptance (n = 7).
Author, YearStudy DesignSubjectsMeasurement;
Timepoint
Treatments; Number of ExposuresResults 1
Devi et al., 2016 [40]Randomised
Crossover
4 treatments
32 (11 M 21 F) healthyDesire to consume on a 150 mm VAS; Measured daily during the exposure period(i) Bread containing 30 g finely sliced hazelnuts per 120 g; Exp. period = 5 d
(ii) Bread containing 30 g defatted hazelnut flour per 120 g; Exp. period = 5 d
(iii) Bread containing 15 g finely sliced defatted hazelnuts and 15 g hazelnut flour per 120 g; Exp. period = 5 d
(iv) Control white bread with no nuts; Exp. period = 5 d
5-day exposure period
(i) Stable: a
(ii) Stable: c
(iii) Stable: a
(iv) Stable: b
Overall liking on a 150 mm VAS;
Measured daily during the exposure period
(i) Bread containing 30 g finely sliced hazelnuts per 120 g; Exp. period = 5 d
(ii) Bread containing 30 g defatted hazelnut flour per 120 g; Exp. period = 5 d
(iii) Bread containing 15 g of finely sliced defatted hazelnuts and 15 g hazelnut flour per 120 g; Exp. period = 5 d
(iv) Control white bread with no nuts; Exp. period = 5 d
5-day exposure period
(i) Stable: a
(ii) Stable: c
(iii) Stable: b
(iv) Stable: b

Pre- vs. Post-
(i) No significant change: 74.8 b vs. 79.3 b
(ii) No significant change: 46.5 a vs. 41.4 a
(iii) Significant increase: 53.4 a vs. 66.4 c (p < 0.05)
(iv) No significant change: 44.5 a vs. 46.5 a
Tey et al., 2011 [44]Randomised Crossover
3 treatments
20 M, 28 FDesire to consume on a 150 mm VAS; Measured daily during the exposure period(i) Ground hazelnuts (30 g/d); Exp. period = 28 d
(ii) Sliced hazelnuts (30 g/d); Exp. period = 28 d
(iii) Whole hazelnuts (30 g/d); Exp. period = 28 d
28-day exposure period
(i) Stable: 92.1 a
(ii) Stable: 107.7 b
(iii) Stable: 116.2 b
Overall liking on a 150 mm VAS;
Measured daily during the exposure period and at pre- and post-exposure
(i) Ground hazelnuts (30 g/d); Exp. period = 28 d
(ii) Sliced hazelnuts (30 g/d); Exp. period = 28 d
(iii) Whole hazelnuts (30 g/d); Exp. period = 28 d
28-day exposure period
(i) Stable: 100.8 a
(ii) Stable: 109.9 b
(iii) Stable: 117.7 b

Pre- vs. Post-
(i) No significant change: 92.8 a vs. 87.4 a
(ii) No significant change: 109.1 b vs. 107.3 b
(iii) No significant change: 113.7 b vs. 110.2 b
Tey et al., 2012 [46]Randomised
Parallel
4 treatments
55 M, 63 FDesire to consume on a 100 mm VAS; Measured daily during the exposure period(i) Hazelnuts (42 g/d); Exp. period = 84 d
(ii) Chocolate (50 g/d); Exp. period = 84 d
(iii) Potato crisps (50 g/d); Exp. period = 84 d
84-day exposure period
(i) Stable: 60.9 a
(ii) Stable: 64.9 a
(iii) Stable: 62.7 a
Overall liking on a 100 mm VAS;
Measured daily during the exposure period and at pre- and post-exposure
(i) Hazelnuts (42 g/d); Exp. period = 84 d
(ii) Chocolate (50 g/d); Exp. period = 84 d
(iii) Potato crisps (50 g/d); Exp. period = 84 d
84-day exposure period
(i) Stable: 57.9 a
(ii) Decrease over time: −9.9 a (p = 0.002)
(iii) Decrease over time: −8.6 a (p = 0.031)

Pre- vs. Post-
(i) No significant change: 61.1 a vs. 53.8 a
(ii) Significant decrease: 76.2 a vs. 53.6 a (p < 0.001)
(iii) No significant change: 67.0 a vs. 58.0 a
Tey et al., 2013 [47]Randomised
Parallel
3 treatments
107 (46 M, 61 F)
Overweight and obese individuals with a
Desire to consume on a 150 mm VAS; Measured daily during the exposure period(i) Hazelnuts (30 g/d); Exp. period = 84 d
(ii) Hazelnuts (60 g/d); Exp. period = 84 d
84-day exposure period
(i) Increase over time: +14.2 a (p = 0.003)
(ii) Decrease over time: −29.4 b (p < 0.001)
BMI ≥ 25 kg/m2Overall liking on a 150 mm VAS;
Measured daily during the exposure period and at pre- and post-exposure
(i) Hazelnuts (30 g/d); Exp. period = 84 d
(ii) Hazelnuts (60 g/d); Exp. period = 84 d
(i) 84-day exposure period
(i) Stable: +0.4 a
(ii) Decrease over time: −24.4 b (p < 0.001)

Pre- vs. Post-
(i) vs. (ii): +14.6 (p < 0.05)
Tey et al., 2015 [59]Single intervention 20 Māori (8 M, 12 F) and 19 (5 M, 14 F) European Desire to consume on a 150 mm VAS; Measured daily during the exposure period 
(i) Māori: Hazelnuts (30 g/d), Exp. period = 28 d
(ii) European: Hazelnuts (30 g/d), Exp. period = 28 d
28-day exposure period
(i) No significant change
(ii) No significant change
aged above 18 yearsOverall liking on a 150 mm VAS; Measured daily during the exposure period 
(i) Māori: Hazelnuts (30 g/d), Exp. period = 28 d
(ii) European: Hazelnuts (30 g/d), Exp. period = 28 d
28-day exposure period
(i) No significant change
(ii) No significant change

Pre- vs. Post-
(i) vs. (ii): No difference
Tey et al., 2015 [48]Randomised
Crossover
6 treatments (only 3 hazelnut treatments reported)
74 (34 M, 40 F) healthy participantsDesire to consume on a 150 mm VAS; Measured daily during the exposure period(i) Ground hazelnuts (30 g/d); Exp. period = 5 d
(ii) Sliced hazelnuts (30 g/d); Exp. period = 5 d
(iii) Whole hazelnuts (30 g/d); Exp. period = 5 d
5-day exposure period
(i) Stable: a
(ii) Stable: b
(iii) Stable: c
Overall liking on a 150 mm VAS;
Measured daily during the exposure period and at pre- and post-exposure
(i) Ground hazelnuts (30 g/d); Exp. period = 5 d
(ii) Sliced hazelnuts (30 g/d); Exp. period = 5 d
(iii) Whole hazelnuts (30 g/d); Exp. period = 5 d
5-day exposure period
(i) Stable: a
(ii) Stable: b
(iii) Stable: c
Tey et al., 2017 [49]Randomised
Crossover
2 treatments
72 (24 M, 48 F)
Aged 18 years and above
Desire to consume on a 150 mm VAS; Measured daily during the exposure period(i) Raw hazelnuts (30 g/d); Exp. period = 28 d
(ii) Dry roasted, lightly salted hazelnuts (30 g/d); Exp. period = 28 d
28-day exposure period
(i) Stable: a
(ii) Stable: a
Overall liking on a 150 mm VAS;
Measured daily during the exposure period and at pre- and post-exposure
(i) Raw hazelnuts (30 g/d); Exp. period = 28 d
(ii) Dry roasted, lightly salted hazelnuts (30 g/d); Exp. period = 28 d
28-day exposure period
(i) Stable: a
(ii) Stable: a

Pre- vs. Post-
(i) No significant change: 105 a vs. 108 a
(ii) No significant change: 107 a vs. 111 a
Abbreviations used: Exp., exposure; F, female; M, male; No., number; VAS, visual analogue scale. All values are arithmetic means unless otherwise stated. 1 No acceptance results for no nut control group. Results: a, b, c Between-group comparisons, determined using ANOVA or regression models (p < 0.05).
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Brown, R.; Ware, L.; Tey, S.L. Effects of Hazelnut Consumption on Cardiometabolic Risk Factors and Acceptance: A Systematic Review. Int. J. Environ. Res. Public Health 2022, 19, 2880. https://doi.org/10.3390/ijerph19052880

AMA Style

Brown R, Ware L, Tey SL. Effects of Hazelnut Consumption on Cardiometabolic Risk Factors and Acceptance: A Systematic Review. International Journal of Environmental Research and Public Health. 2022; 19(5):2880. https://doi.org/10.3390/ijerph19052880

Chicago/Turabian Style

Brown, Rachel, Lara Ware, and Siew Ling Tey. 2022. "Effects of Hazelnut Consumption on Cardiometabolic Risk Factors and Acceptance: A Systematic Review" International Journal of Environmental Research and Public Health 19, no. 5: 2880. https://doi.org/10.3390/ijerph19052880

APA Style

Brown, R., Ware, L., & Tey, S. L. (2022). Effects of Hazelnut Consumption on Cardiometabolic Risk Factors and Acceptance: A Systematic Review. International Journal of Environmental Research and Public Health, 19(5), 2880. https://doi.org/10.3390/ijerph19052880

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop