Melaku Yohannes Adama, Gill Tiffany K, Adams Robert, Shi Zumin
1Population Research and Outcome Studies,School of Medicine,The University of Adelaide,SAHMRI,Adelaide,SA 5005,Australia.
3Health Observatory,Discipline of Medicine,The Queen Elizabeth Hospital Campus,The University of Adelaide,Adelaide,SA 5011,Australia.
Br J Nutr. 2016 Oct;116(8):1437-1446. doi: 10.1017/S0007114516003366. Epub 2016 Sep 27.
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.
关于饮食模式与骨密度(BMD)之间关联的研究结果并不一致。来自澳大利亚一项基于人群的队列研究——西北阿德莱德健康研究的数据,被用于评估50岁及以上成年人中的这种关联。在这项特定研究中,1182名成年人(545名男性,占45.9%)通过食物频率问卷(FFQ)收集了饮食数据,并且使用双能X线吸收法进行了骨密度测量。采用主成分法进行因子分析以确定饮食模式。识别出了两种不同的饮食模式。模式1(“谨慎模式”)的特点是水果、蔬菜、糖、坚果奶、鱼、豆类和高纤维面包的摄入量高。相比之下,模式2(“西方模式”)的特点是加工肉类、红肉、零食、外卖食品、果酱、啤酒、软饮料、白面包、家禽、加脂肪的土豆、高脂肪乳制品和鸡蛋的摄入量高。在对社会人口学、生活方式和行为特征、慢性病和能量摄入进行调整后,与谨慎模式第一个三分位数(T1,最低消费量)的研究参与者相比,第三个三分位数(T3)的参与者低骨密度患病率较低(患病率比(PR)=0.52;95%置信区间0.33,0.83)。与T1的参与者相比,西方模式T3的参与者低骨密度患病率较高(PR=1.68;95%置信区间1.02,2.77)。与西方饮食相反,以水果、蔬菜和乳制品摄入量高为特征的饮食模式与骨密度呈正相关。