What Do We Know about Diet and Markers of Cardiovascular Health in Children: A Review
Abstract
:1. Introduction
2. Materials and Methods
3. Dietary Patterns and Traditional CVD Risk Factors
3.1. Healthy Dietary Patterns and Traditional CVD Risk Factors in Children
3.2. Dietary Patterns with Less Healthy Foods and Traditional CVD Risk Factors
4. Physical Fitness
4.1. Relationships between Diet and Cardiorespiratory Fitness
4.2. Relationships between Diet and Muscular Strength
5. Arterial Stiffness
Relationship between Single Nutrients and/or Food Items and Indices of Arterial Stiffness and Wave Reflection
6. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Reference | Subjects | Dietary Intake Assessment Method | Derived Patterns (Explained Variance %) | Health Outcome | Results |
---|---|---|---|---|---|
[17] | 9.4 ± 0.4 y South India | FFQ | 1. ‘Snack and Fruit’ 2. ‘Lacto- vegetarian’ | Adiposity | Positive association: Snack and Fruit with BMI, subscapular skinfold & percentage body fat No association: Lacto-vegetarian pattern with BMI, skinfolds, percentage body fat |
[20] | 11–17 y Brazil | FFQ for adolescents | 1. ‘Junk food’ 2. ‘Healthy’ 3. ‘Traditional’ | BMI | Positive association: Healthy pattern and overweight |
[23] | 8–10 y Canada | Three non-consecutive 24-h recalls | 1. ‘Traditional’ 2. ‘Healthy’ 3. ‘Fast food’ | Adiposity | The ‘Traditional’ and ‘Healthy’ patterns were not associated with adiposity. Children in the 75th percentile of ‘Fast food’ pattern were more likely to be overweight than those in percentiles <25th. Also they had higher fat mass percentage and waist circumference. |
[18] | 7–11 y Iran | FFQ | 1. ‘Healthy’ 2. ‘Western’ 3.‘Sweet and dairy’ | BMI | Boys: No significant associations Girls: Children in the second quartile of ‘Healthy’ dietary pattern were more likely to have higher BMI than those in the highest quartile of ‘Healthy’ pattern. Those in the second quartile of ‘Western’ pattern had significantly lower BMI than those in the forth quartile. Children who had lower adherence to ‘Sweet and dairy’; dietary pattern had lower BMI |
[27] | 3–16 y Scotland (results for 5–11 y are presented) | FFQ | Boys: 1. ‘Fruit and vegetables’ 2. ‘Snacks’ 3. ‘Fish & sauce’ Girls: 1. ‘Fruit and vegetables’ 2. ‘Puddings’ 3. ‘Snacks’ | BMI | In boys only ‘Snacks’ pattern was positively associated with BMI (p trend= 0.047) ‘Fish & sauce’ pattern was negatively associated with BMI (p trend= 0.023) |
[29] | 9–10 y Norway | FFQ | 1. ‘Snacking’ 2. ‘Junk/convenient’ 3. ‘Varied Norwegian’ 4. ‘Dieting’ | BMI | Tertiles of dietary patterns: Lower tertile of ‘Junk/convenient’ & upper tertile of ‘Dieting’ were negatively associated with highest incidence of overweight Upper tertiles of the ‘Varied Norwegian’ was negatively associated with overweight |
[28] | 5–10 y Portugal | Semi quantitative FFQ | Eight dietary patterns were identified | BMI | ‘Pattern 6’ was negatively associated with Obesity ‘Pattern 7’ was positively associated with Obesity |
[24] | 7–18 y Mexico | Semi-quantitative FFQ | 1. Western 2. Prudent 3. High protein/fat | Insulin resistance | Higher quintile of the ‘Western’ pattern was associated with increased odds of Insulin resistance. |
[25] | 9–13 y Greece | Three 24 h recalls | Five dietary patterns were identified | Insulin resistance | Insulin resistance was negatively associated with ‘Pattern 3’ |
[Reference] Study Sample | Aim | Dietary Intake | Cardiorespiratory Fitness | Results | Muscular Strength | Results |
---|---|---|---|---|---|---|
Food intake: Nutrients, food items, dietary pattern | ||||||
[75] Based on IDEFICS data 4903 Europeans 6–11 y | To examine determinants of physical fitness | Non-quantitative FFQ | 20 msrt | Physical fitness was negatively associated with age, BMI z-score, parental education, mother’s BMI, while positively with sex (girls as ref), psychosocial well-being, physical activity | Handgrip strength: Takei Bipedal position with arm extended Score: average of right & left | No significant association between fruit & vegetable/breakfast consumption with handgrip strength. |
[60] Healthy Growth Study 600 Greek children 9–13 y | To determine the associations of milk consumption with fitness, anthropometric and biochemical indices | 3-d 24-h recalls | 20 msrt | Milk consumption (mL/d) was positively associated with number of stages in 20 msrt | Handgrip strength | No association |
[69] 1988 Spanish adolescents 12–16 y | To examine the association between aerobic, musculo-skeletal, and motor capacity and life satisfaction, risk behaviour, and adherence to the Mediterranean diet in adolescents | KIDMED (adherence to Mediterranean diet | 20 msrt, Leger’s protocol O2max, Leger’s equation FITNESSGRAM standards: low & high | Positively: life satisfaction, adherence to Mediterranean diet (β = 0.069, p = 0.019) | Handgrip strength: Takei Standing position with arm straight Score: Twice and sum of best results in each hand Category: above/below the mean: low and high | Boys: 61 ± 16.7 kg and girls: 46.5 ± 9.47 kg Positively: alcohol use. Drunkenness No association with adherence to Mediterranean diet (β = 0.019, p = 0.539) |
[76] 82 native American youth 5–18 years | To determine correlation among physical fitness, dietary intakes, activity levels, and BMI. | Energy and macronutrient intakes: one 24-h recall | President’s Physical fitness Awards program | No significant associations were found | President’s Physical fitness Awards program: partial curl-ups (abdominal strength), and right-angle push-ups | No significant associations were found |
[77] Young Hearts 2000 study 2017 Irish adolescents 12 and 15 years | To determine relationships between fruit and vegetable consumption and muscle strength and power. | 7-d diet history One-to-one interview, habitual intake, especially fruits and vegetables | - | - | Handgrip strength: Takei Standing position with arm straight Two measurements for each arm The highest of measurements to be used in analyses | Boys: 26.9 ± 9.06 kg Girls: 21.5 ± 5.08 kg Girls: significant relationship between fruit and vegetable consumption and handgrip strength in Models 1,2,3 |
[58] Based on HELENA data 1492 Europeans (8 countries) 12–17 years | To determine relationships between cardiorespiratory fitness and dietary. | 2-d 24-h recalls Computer-based Self-reported | 20 msrt | Mean daily intake of dairy products and fruits was positively associated with CRF in boys and girls. Sweetened beverage and grain/potatoes were negatively associated with CRF in girls. | - | - |
[59] Based on BGPFERHLH data 879 Brazilians 14–19 years | To analyse the association between erobic fitness levels and socio-demographic factors, lifestyle and excess body fatness | Adequate/inadequate milk consumption Adequate/inadequate soft drinks | Modified Canadian Aerobic Fitness Test O2max | Inadequate milk consumption was only significantly associated with cardiorespiratory fitness in girls. | - | - |
[70] 279 New Zealanders 14–18 years | To determine the association between cardiorespiratory fitness and dietary patterns | Non-quantitative FFQ | 20 msrt | Positive relationship between cardiorespiratory fitness and ‘Fruits and Vegetables’ pattern. | - | - |
[52] HELENA study. Eight study centres in Europe 3528 participants 12.5–17.5 years | To determine the association between breakfast consumption and components of physical fitness including | Breakfast habit: ‘consumer’, ‘occasional consumer’ and ‘skipper’ | 20 msrt | Cardiorespiratory fitness was positively associated with breakfast consumption in boys, but not in girls | Handgrip strength | No significant associations were found |
[57] 278 French children 6–10 years | To determine associations between eating habits with aerobic fitness and lower limb muscle power. | Eating habits: frequency of breakfast consumption, snack between meals, and type of drink while thirsty | 20 msrt, Leger’s protocol | Children who never or sometimes ate breakfast had lower cardiorespiratory fitness than children who had breakfast everyday. | Lower limb explosive strength: Squat Jump | Children eating breakfast sometimes had lower squat jump than those eating breakfast everyday |
[53] Part of HELENA study 10 European countries 2929 adolescents 12.5–17.5 years | To determine relationships between breakfast consumption and CVD risk factors. | Breakfast habits: ‘I often skip breakfast’ | 20 msrt, Leger’s protocol O2max | Breakfast consumers had higher O2max than occasional consumers and skippers Breakfast consumers had higher O2max than occasional consumers and skippers | - | - |
[56] 4326 English participants 10–16 years | To determine relationships between habitual breakfast consumption in school days, BMI, physical activity, and cardiorespiratory fitness. | School-day breakfast habits | 20-metre PACER test Performance | Compared with boys always ate breakfast, boys who never ate breakfast were more likely to have low cardiorespiratory fitness. There was no association between CRF and breakfast habits in girls. | - | - |
[54] Southern California 10–12 years | Hypothesized that daily breakfast consumers would be more likely to be in the healthy fitness zone than those that consume breakfast less frequent. | Breakfast consumption frequency | 20-metre PACER test | Daily breakfast eaters were 3.82 times more likely to be in the healthy fitness zone for PACER run compared with those sometimes consumed breakfast | - | - |
[55] 192 children and adolescents 8.8–16.8 years | To determine the connections between eating behaviours and body composition and cardiovascular levels | Eating habits: i.e., ‘Cognitive Restraint’, ‘Uncontrolled eating’, and ‘Emotional eating’ | Peak oxygen uptake | Being in low tertile of emotional eating showed lower values of relative VO2 peak in comparison to the high and medium tertile. Being in ‘low’ tertile of cognitive Restraint showed higher values of relative VO2 peak than the high tertile. | - | - |
[Reference], Study Sample | Aim | Method | Findings |
---|---|---|---|
[125] United States n = 1153/1347 10–19 years Youth with type 1 diabetes | To determine associations between baseline dietary pattern/s with AIx, PWV, and brachial distensibility measured later in a cohort with T1 diabetes. | Diet: 85-item FFQ, AIx@HR75 and PWV, brachial distensibility | Dietary pattern score was significantly positively associated with AIx@HR75. |
[110] Copenhagen n = 193 children Overweight children 12–15 years | To examine relationships between protein intake, milk intake, physical activity, adiposity, and arterial stiffness in overweight children with habitual milk intakes ≤250 mL/d. | Diet: 4-d self-reported precoded food record cf-PWV and AIx@HR75 | There was a positive relationship between %energy from protein and cf-PWV (ß = 0.05; p < 0.01), whereas milk intake was negatively associated with cf-PWV (ß= −0.64, p = 0.05). AIx@HR75 was negatively associated with pedometer counts (ß = −3.66; p < 0.05), there were no significant relationship between %energy from protein and milk consumption with AIx@HR75. |
[111] The Copenhagen Cohort Study on Infant Nutrition and Growth Denmark. Healthy children 10 years n = 93 boys and girls | To assess current determinants of arterials stiffness in 10 year-old children | Average daily intake of fat and energy: precoded 7-d food record, parent proxy Aorta-radial PWV and aorta-femoral PWV | %energy from fat positively related to AR-PWV (ß = 3.1, 95% CI = 0.9; 5.2) and AF-PWV (ß = 1.8, 95% CI = 0.2; 3.2). After adjusting for total energy intake, only AR-PWV was remained significant. Energy intake negatively related to radial PWV (ß = −6.4, 95% CI = −11.7; −0.8) |
[126] Greece, Heraklion, Southern Healthy participants n = 287 First grade of high school (12 years) | To assess the correlation of obesity, BP, and dietary habits (adherence to the Mediterranean diet) with indices of arterial stiffness. | Diet: KIDMED index AIx, PPP/CPP, RWTT/H | Independent negative correlation between KIDMED index and AIx (ß = −0.114, p = 0.026). There was no significant relationship between KIDMED index and PPP/CPP and RWTT/H. |
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Saeedi, P.; Shavandi, A.; Skidmore, P.M.L. What Do We Know about Diet and Markers of Cardiovascular Health in Children: A Review. Int. J. Environ. Res. Public Health 2019, 16, 548. https://doi.org/10.3390/ijerph16040548
Saeedi P, Shavandi A, Skidmore PML. What Do We Know about Diet and Markers of Cardiovascular Health in Children: A Review. International Journal of Environmental Research and Public Health. 2019; 16(4):548. https://doi.org/10.3390/ijerph16040548
Chicago/Turabian StyleSaeedi, Pouya, Amin Shavandi, and Paula M.L. Skidmore. 2019. "What Do We Know about Diet and Markers of Cardiovascular Health in Children: A Review" International Journal of Environmental Research and Public Health 16, no. 4: 548. https://doi.org/10.3390/ijerph16040548
APA StyleSaeedi, P., Shavandi, A., & Skidmore, P. M. L. (2019). What Do We Know about Diet and Markers of Cardiovascular Health in Children: A Review. International Journal of Environmental Research and Public Health, 16(4), 548. https://doi.org/10.3390/ijerph16040548