Literature DB >> 27669817

Association between dietary patterns and low bone mineral density among adults aged 50 years and above: findings from the North West Adelaide Health Study (NWAHS).

Yohannes Adama Melaku1, Tiffany K Gill1, Robert Adams2, Zumin Shi1.   

Abstract

Studies on the association between dietary patterns and bone mineral density (BMD) have reported inconsistent findings. Data from the North West Adelaide Health Study, a population-based cohort study undertaken in Australia, were used to assess this association among adults aged 50 years and above. In this specific study, 1182 adults (545 males, 45·9 %) had dietary data collected using a FFQ and also had BMD measurements taken using dual-energy X-ray absorptiometry. Factor analysis with principal component method was applied to ascertain dietary patterns. Two distinct dietary patterns were identified. Pattern 1 ('prudent pattern') was characterised by high intake of fruits, vegetables, sugar, nut-based milk, fish, legumes and high-fibre bread. In contrast, pattern 2 ('Western pattern') was characterised by high levels of processed and red meat, snacks, takeaway foods, jam, beer, soft drinks, white bread, poultry, potato with fat, high-fat dairy products and eggs. Compared with the study participants in the first tertile (T1, lowest consumption) of the prudent pattern, participants in the third tertile (T3) had a lower prevalence of low BMD (prevalence ratio (PR)=0·52; 95 % CI 0·33, 0·83) after adjusting for socio-demographic, lifestyle and behavioural characteristics, chronic conditions and energy intake. Participants in T3 of the Western pattern had a higher prevalence of low BMD (PR=1·68; 95 % CI 1·02, 2·77) compared with those in T1. In contrast to the Western diet, a dietary pattern characterised by high intake of fruits, vegetables and dairy products is positively associated with BMD.

Entities:  

Keywords:  BMD bone mineral density; DXA dual-energy X-ray absorptiometry; EI energy intake; NWAHS North West Adelaide Health Study; PAL physical activity level; PR prevalence ratio; Adults; Australia; Bone mineral density; Dietary patterns

Mesh:

Year:  2016        PMID: 27669817     DOI: 10.1017/S0007114516003366

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  12 in total

1.  A comparison of principal component analysis, partial least-squares and reduced-rank regressions in the identification of dietary patterns associated with bone mass in ageing Australians.

Authors:  Yohannes Adama Melaku; Tiffany K Gill; Anne W Taylor; Robert Adams; Zumin Shi
Journal:  Eur J Nutr       Date:  2017-06-12       Impact factor: 5.614

2.  Postmenopausal women with osteoporosis consume high amounts of vegetables but insufficient dairy products and calcium to benefit from their virtues: the CoLaus/OsteoLaus cohort.

Authors:  A Lanyan; P Marques-Vidal; E Gonzalez-Rodriguez; D Hans; O Lamy
Journal:  Osteoporos Int       Date:  2019-12-17       Impact factor: 4.507

3.  Dietary Patterns in Relation to Low Bone Mineral Density and Fracture Risk: A Systematic Review and Meta-Analysis.

Authors:  Roberto Fabiani; Giulia Naldini; Manuela Chiavarini
Journal:  Adv Nutr       Date:  2019-03-01       Impact factor: 8.701

4.  Dietary Inflammatory Index in relation to bone mineral density, osteoporosis risk and fracture risk: a systematic review and meta-analysis.

Authors:  Y Fang; J Zhu; J Fan; L Sun; S Cai; C Fan; Y Zhong; Y Li
Journal:  Osteoporos Int       Date:  2020-08-01       Impact factor: 4.507

5.  Prospective Associations of Dietary and Nutrient Patterns with Fracture Risk: A 20-Year Follow-Up Study.

Authors:  Yohannes Adama Melaku; Tiffany K Gill; Sarah L Appleton; Anne W Taylor; Robert Adams; Zumin Shi
Journal:  Nutrients       Date:  2017-10-31       Impact factor: 5.717

6.  Nutritional Renaissance and Public Health Policy.

Authors:  T C Campbell
Journal:  J Nutr Biol       Date:  2017-08-25

Review 7.  Association between Dietary Patterns of Meat and Fish Consumption with Bone Mineral Density or Fracture Risk: A Systematic Literature.

Authors:  Simone Perna; Ilaria Avanzato; Mara Nichetti; Giuseppe D'Antona; Massimo Negro; Mariangela Rondanelli
Journal:  Nutrients       Date:  2017-09-18       Impact factor: 5.717

8.  Association between dietary inflammatory index and bone density in lactating women at 6 months postpartum: a longitudinal study.

Authors:  Yalin Zhou; Xiaoyu Zhu; Minjia Zhang; Yong Li; Wei Liu; Hanming Huang; Yajun Xu
Journal:  BMC Public Health       Date:  2019-08-09       Impact factor: 3.295

9.  Associations of childhood, maternal and household dietary patterns with childhood stunting in Ethiopia: proposing an alternative and plausible dietary analysis method to dietary diversity scores.

Authors:  Yohannes Adama Melaku; Tiffany K Gill; Anne W Taylor; Robert Adams; Zumin Shi; Amare Worku
Journal:  Nutr J       Date:  2018-01-29       Impact factor: 3.271

Review 10.  Fat, Sugar, and Bone Health: A Complex Relationship.

Authors:  Li Tian; Xijie Yu
Journal:  Nutrients       Date:  2017-05-17       Impact factor: 5.717

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