Nutrient and Dietary Patterns in Relation to the Pathogenesis of Postmenopausal Osteoporosis—A Literature Review
Abstract
:1. Introduction
2. Current Evidence and Status of Knowledge
2.1. The Relationship between Nutrient Patterns and Postmenopausal Osteoporosis
2.2. Dietary Pattern Analyses and Bone Health in Postmenopausal Osteoporosis
2.3. Dietary Patterns Score/index and Bone Health in Postmenopausal Osteoporosis
3. Discussion
Author Contributions
Funding
Conflicts of Interest
References
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Study, Location and Design | Participants Information | Diet Assessment/Method | Nutrient Patterns Generated | Main Results | Ref. |
---|---|---|---|---|---|
Factor analysis BMD/BMC | |||||
Postmenopausal Iranian women, Iran, cross-sectional | 160 postmenopausal women, age 50–85 years | Validated 168-item food frequency questionnaire/LS BMD and FN BMD by DXA | NP1 was high in folate, total fiber, vitamin B6, potassium, vitamin A, C, K, β-carotene, magnesium, copper and manganese. NP2 was high in vitamin B2, protein, calcium, phosphorus, zinc, vitamin B12, and vitamin D and low in vitamin E. NP3 was high in total fat, monounsaturated fatty acids, saturated fatty acids and polyunsaturated fatty acids with low levels of carbohydrate and vitamin B1. | NP1 which was associated with high intakes of fruits and vegetables and low intakes of cereal was significantly positively correlated with lumbar spine BMD but not the femoral neck. NP2 and NP3 were not significantly associated with BMD at any of the sites. | Karamati et al., 2014 [6] |
North West Adelaide Health Study, Australia, cross-sectional | 1135 adults, median age 62 years | Validated food frequency/BMD by DXA | Mixed-source pattern was high in phosphorus, niacin, starch/dextrins and riboflavin. Animal-sourced pattern high in palmitoleic acid, cholesterol and omega-6. Plant-sourced pattern high in β-carotene, lutein and zeaxanthin and vitamin C. | Mixed-source nutrient pattern was positively associated with BMD. No independent and statistically significant associations between animal- and plant-sourced nutrient patterns and BMD were found | Melaku et al., 2017 [7] |
“Bug‘n’Bones” study, New Zealand, cross-sectional | 101 postmenopausal women, age 54–81 years | 3-day diet diary/LS, FN and hip BMD by DXA | NP1 high in riboflavin, phosphorus, calcium, sugars, potassium, vitamin B6, carbohydrate and magnesium and NP2 high in dietary fats and fatty acids, vitamin E and NP3 high in fats, protein, cholesterol and low levels of vitamin C, α- and β-carotene. | NP1 was positively correlated with the spine, hip and femoral neck BMD while NP2 was negatively correlated with hip and whole-body BMD. | Ilesanmi-Oyelere et al., 2019 [8] |
Fractures | |||||
Bordeaux sample of the Three-City Study, France, longitudinal | 934 women and 548 men, aged 68–95 y | 24-h dietary recal and a food frequency questionnaire/Hip, wrist, and vertebrae fracture; self-reported incidence | (1) Nutrient-dense; high in calcium, phosphorus, iron, B vitamins, vitamin C and E, protein and unsaturated fats. (2) retinol, vitamin B-12, folate, iron; (3) southwestern French high in proteins, fats, alcohol, calcium, phosphorus, vitamin D and B12 | Pattern (1) was inversely associated with risk of wrist and overall fractures; pattern (3) was inversely associated with risk of hip fracture | Samieri et al., 2013 [9] |
Study, Location and Design | Participants Information | Diet Assessment/Method | Dietary Patterns Generated | Main Results | Ref. |
---|---|---|---|---|---|
Factor analysis BMD/BMC | |||||
Co-twin controlled study, United Kingdom, cross-sectional | 4928 postmenopausal women, aged 56 ± 12 y | Validated 131-item food-frequency Questionnaire/FN BMD, total hip BMD, LS BMD by DXA | (1) Fruit and vegetables, (2) high intake of alcohol, (3) traditional English, (4) dieting, (5) low meat intake | Pattern (3) was inversely associated with FN BMD | Fairweather-Tait et al., 2011 [10] |
Annual health check-up program, Japan, cross-sectional | 293 postmenopausal women, aged 60 ± 6 y | Modified validated simple food frequency questionnaire (FFQ)/33% Radial BMD by DXA | (1) Carotene, (2) retinol, (3) β-cryptoxanthin | Pattern (2) was inversely associated with BMD and pattern (3) was positively associated with BMD | Sugiura et al., 2011 [11] |
Postmenopausal Iranian women, Iran, cross-sectional | 160 women, aged 50–85 y | Validated 168-item food frequency questionnaire/LS BMD and FN BMD by DXA | (1) Folate, total fiber, vitamin B-6, potassium, vitamins A, C, and K, β-carotene, magnesium, copper, and manganese; (2) vitamin B-2, protein, calcium, phosphorus, zinc, vitamin B-12, vitamin D, and low vitamin E; (3) total fat, MUFAs, SFAs, PUFAs, and low carbohydrate and vitamin B-1 | Pattern (1) was directly associated with LS BMD | Karamati et al., 2012 [12] |
2-y prospective study of postmenopausal women, China, cross-sectional | 282, 212, and 202 women at baseline, year 1 and year 2, respectively, aged 50–65 y at baseline | Validated 80-item food frequency questionnaire/Hip BMD (FN, trochanter, and Ward’s) LS BMD, TB BMD by DXA | Pattern (1): rice, cooked wheat food, fried food and other grains, and fruits; pattern (2): milk and root vegetables | Pattern (1) was inversely associated with hip and LS BMD; pattern (2) was directly associated with hip BMD. | Chen et al., 2015 [13] |
Brazilian postmenopausal women with osteoporosis, Brazil, cross-sectional | 156 women, aged ≥ 45 y; mean age 68 ± 9 y | 3-day food diary/LS BMD, total femur BMD, FN BMD, TB BMD by DXA | (1) Healthy; high in vegetables, fruit and fresh juices, and tubers (2) red meat and refined cereals; (3) low-fat dairy; (4) sweet foods, coffee, and tea; (5) Western; high in snacks, pizzas and pies, soft drinks and fats | Pattern (4) was inversely associated with total femur and TB BMD | de França et al., 2016 [14] |
Bone Biomarkers | |||||
Aberdeen Prospective Osteoporosis Screening Study, Scotland, cross-sectional | 3236 women, aged 50–59 y | Validated 98-foods FFQ/Bone resorption biomarkers: urine fPYD: Cr and fDPD:Cr ratios; bone formation biomarker: serum P1NP | (1) Healthy foods with high intakes of fruit and vegetables (2) processed foods, (3) bread and butter, (4) fish and chips, (5) snack foods with high intakes of confectionery, crisps, nuts and sauces | Pattern (1) was inversely associated with bone resorption biomarkers | Hardcastle et al., 2011 [15] |
Canadian Multicenter Osteoporosis Study, Canada, longitudinal | 754 women, 318 men, aged 63 ± 11 y | Food frequency questionnaire/Bone resorption biomarkers: CTX; bone formation biomarker: BAP; PTH; blood samples collected in year 5 of study | (1) Prudent, high in vegetables, fruit, whole grains, and legumes and (2) Western, high in soft drinks, potato chips and French fries, processed meats, and desserts | Pattern (1) was inversely associated with CTX in women and PTH in men; pattern (2) was directly associated with BAP and CTX in women | Langsetmo et al., 2016 [16] |
Osteoporosis | |||||
Korean Health and Nutrition Examination Survey 2008–2010, Korea, cross-sectional | 735 postmenopausal women, aged 64 ± 9 y | 24-h recall/Osteoporosis by LS and femur (FN, trochanter, intertrochanter, Ward’s, and total) BMD T-score by DXA | (1) Meat, alcohol, and sugar; (2) vegetables and soy sauce; (3) white rice, kimchi, and seaweed; (4) dairy and fruit | Pattern (4) was inversely associated with risk of osteoporosis and pattern (3) was directly associated with risk of osteoporosis | Shin and Joung 2013 [17] |
Korean Genome and Epidemiology Study, Korea, longitudinal | 1464 postmenopausal women, 4-y follow-up | 103-food item, semiquantitative food frequency questionnaire (SQFFQ)/Osteoporosis incidence by SOS T-score at the mid-radius and tibia shaft by ultrasound | (1) Traditional (high in rice, kimchi and vegetable intake, (2) dairy (high in dairy products, milk and green tea intake), (3) Western (high in fat, sugar and bread) | Pattern (2) was inversely associated with and patterns (1) and (3) were directly associated with risk of osteoporosis | Park et al., 2012 [18] |
Fractures | |||||
Canadian Multicenter Osteoporosis Study, Canada, longitudinal | 3539 postmenopausal women, aged 67 ± 8 y and 1649 men, aged ≥50 y (64 ± 10 y) | Self-administered FFQ/Low-trauma fractures by year 10 of study by self-reported interviews | (1) Nutrient-dense (2) energy-dense (Western) | Pattern (1) was inversely associated with risk of fracture in men and women | Langsetmo et al., 2011 [19] |
Cluster Analysis | |||||
Framingham Osteoporosis Study, United States, cross-sectional | 562 women and 345 men, aged 69–93 y | Validated FFQ/FN BMD, Ward’s area BMD, and trochanter BMD by Lunar dual photon absorptiometry; 33% radius shaft BMD by Lunar single-photon absorptiometry | (1) Meat, dairy, and bread; (2) meat and sweet baked products; (3) sweet baked products; (4) alcohol; (5) candy, (6) fruit, vegetables, and cereal | Cluster (6) was directly associated with FN BMD, Ward’s BMD, and trochanter BMD when compared with clusters 2–4 in men; cluster (5) was inversely associated with FN BMD, Ward’s BMD, and radius BMD when compared with cluster (6) in men cluster (5) was negatively associated with radius BMD when compared with clusters (1), (2), (4), and (6) in women. | Tucker et al., 2002 [20] |
In CHIANTI Study, Italy, longitudinal | 434 women, aged 65–94 y (75 ± 7 y) | 236-foods European Prospective Investigation into Cancer and Nutrition (EPIC) questionnaire/Total and trabecular BMD at 4% and cortical BMD at 38% tibia by pQCT; BMD variation over 6 y | (1) Lower intake of energy (30 kcal/kg IBW) and bone-related nutrients; (2) higher intake of energy (44 kcal/kg IBW) and bone-related nutrients | Cluster (2) was directly associated with cortical BMD and inversely associated with cortical BMD loss over 6 y compared with cluster (1) | Pedone et al., 2011 [21] |
Study, Location and Design | Participants’ Information | Diet Assessment/Method | Dietary Patterns Score/Index Generated | Main Results | Ref. |
---|---|---|---|---|---|
BMD/BMC | |||||
Southern Spain women study, Spain, cross-sectional | 100 premenopausal (aged 34 ± 7 y), 100 postmenopausal (aged 54 ± 6 y) women, aged 18–65 y | Validated semi-quantitative FFQ/Calcaneus BMD by DXA | Mediterranean Diet Score (MDS) | MDS was directly associated with BMD in all subjects | Rivas et al., 2013 [23] |
Postmenopausal women, Iran, cross-sectional | 160 postmenopausal women, aged 50–85 y | Validated semi-quantitative FFQ/FN BMD and LS BMD by DXA | Dietary Inflammatory Index (DII) | DII inversely associated with LS BMD | Shivappa et al., 2016 [27] |
The Rotterdam Study, Netherlands, longitudinal and cross-sectional | 2932 women and 2211 men, aged ≥ 55 y at baseline (median: 67 y; IQR: 61–73 y) | 170 food items semi-quantitative FFQ/FN BMD by DXA, at baseline and three subsequent visits | BMD Diet Score | Directly associated with FN BMD | De Jonge et al., 2015 [28] |
Healthy Diet Indicator | Directly associated with FN BMD, but three times weaker than BMD Diet Score | ||||
The women’s Health Initiative, USA, observational study and clinical trial | 160,191 women between 50–79 y | BMD of the total hip, lumbar spine (L2–L4), and total body Women’s Health Initiative (WHI) FFQ/Total hip, LS and total body BMD by DXA | Dietary Inflammatory Index (DII) | Less inflammatory dietary pattern was associated with less BMD loss in postmenopausal women. | Orchard et al., 2017 [29] |
Bone Biomarkers | |||||
NHANES 1999–2002, United States, cross-sectional | 827 postmenopausal women aged ≥ 45 y | 24-h dietary recall interview/Bone formation: serum BAP; bone resorption: urinary N-telopeptide or creatinine | Healthy Eating Index 2005 | No association was found | Hamidi et al., 2011 [25] |
Osteoporosis | |||||
Fifth Korean National Health and Nutritional Examination Survey (2010), Korea, cross-sectional | 847 postmenopausal women | 24-h dietary recall/Osteoporosis and osteopenia based on WHO BMD T-score criteria | Mean Nutrient Adequac Ratio | No association was found | Go et al., 2014 [30] |
Dietary Diversity Score | Inversely associated with risk of osteoporosis and osteopenia | ||||
Calcium source assessmen | Milk, anchovy, and sea mustard were inversely associated with risk of osteoporosis and osteopenia | ||||
Food Group Intake Pattern | No association was found | ||||
Fractures | |||||
China, case–control | 549 women pairs and 177 men pairs, age-matched; aged 55–80 y | Validated 79-item food-frequency questionnaire (FFQ)/Hip fracture | Healthy Eating Index 2005 | Inversely associated with hip fracture risk | Zeng et al., 2014 [31] |
Three-City Study, France, longitudinal | 932 women and 550 men, aged ≥ 67 y at baseline, 8 y follow-up | FFQ and 24-h dietary recall/Hip, vertebral, and wrist fractures; self-reported every biennial interview | Mediterranean Diet Score | No significant association | Feart et al., 2013 [22] |
Women’s Health Initiative observational study, United States, longitudinal | 90,014 postmenopausal women, aged 50–79 y (63 ± 7) at baseline, 16–21 y follow-up | WHI FFQ/Total and hip fracture | Alternate Mediterranean Score | Alternate Mediterranean score inversely associated with hip fracture risk | Haring et al., 2016 [26] |
Healthy Eating Index 2010 | No significant association | ||||
Alternative Healthy Eating Index 2010 | No significant association | ||||
Dietary Approaches to Stop Hypertension | No significant association |
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Ilesanmi-Oyelere, B.L.; Kruger, M.C. Nutrient and Dietary Patterns in Relation to the Pathogenesis of Postmenopausal Osteoporosis—A Literature Review. Life 2020, 10, 220. https://doi.org/10.3390/life10100220
Ilesanmi-Oyelere BL, Kruger MC. Nutrient and Dietary Patterns in Relation to the Pathogenesis of Postmenopausal Osteoporosis—A Literature Review. Life. 2020; 10(10):220. https://doi.org/10.3390/life10100220
Chicago/Turabian StyleIlesanmi-Oyelere, Bolaji Lilian, and Marlena C. Kruger. 2020. "Nutrient and Dietary Patterns in Relation to the Pathogenesis of Postmenopausal Osteoporosis—A Literature Review" Life 10, no. 10: 220. https://doi.org/10.3390/life10100220
APA StyleIlesanmi-Oyelere, B. L., & Kruger, M. C. (2020). Nutrient and Dietary Patterns in Relation to the Pathogenesis of Postmenopausal Osteoporosis—A Literature Review. Life, 10(10), 220. https://doi.org/10.3390/life10100220