Xu Xiaoyue, Byles Julie, Shi Zumin, McElduff Patrick, Hall John
Priority Research Centre for Gender, Health and Ageing, School of Medicine and Public Health, Hunter Medical Research Institute, University of Newcastle, Newcastle, Australia.
Centre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, Hunter Medical Research Institute, University of Newcastle, Newcastle, Australia.
BMC Public Health. 2016 Aug 8;16:743. doi: 10.1186/s12889-016-3425-y.
Few studies explored the effects of nutritional changes on body mass index (BMI), weight (Wt), waist circumference (WC) and hypertension, especially for the older Chinese population.
By using China Health and Nutrition Survey 2004-2011 waves, a total of 6348 observations aged ≥ 60 were involved in the study. The number of participants dropped from 2197 in 2004, to 1763 in 2006, 1303 in 2009, and 1085 in 2011. Dietary information was obtained from participants using 24 hour-recall over three consecutive days. Height, Wt, WC, systolic and diastolic blood pressure were also measured in each survey year. The dietary pattern was derived by exploratory factor analysis using principal component analysis methods. Linear Mixed Models were used to investigate associations of dietary patterns with BMI, Wt and WC. Generalized Estimating Equation models were used to assess the associations between dietary patterns and hypertension.
Over time, older people's diets were shifting towards a modern dietary pattern (high intake of dairy, fruit, cakes and fast food). Traditional and modern dietary patterns had distinct associations with BMI, Wt and WC. Participants with a diet in the highest quartile for traditional composition had a β (difference in mean) of -0.23 (95 % CI: -0.44; -0.02) for BMI decrease, β of -0.90 (95 % CI: -1.42; -0.37) for Wt decrease; and β of -1.57 (95 % CI: -2.32; -0.83) for WC decrease. However, participants with a diet in the highest quartile for modern diet had a β of 0.29 (95 % CI: 0.12; 0.47) for BMI increase; β of 1.02 (95 % CI: 0.58; 1.46) for Wt increase; and β of 1.44 (95 % CI: 0.78; 2.10) for Wt increase. No significant associations were found between dietary patterns and hypertension.
We elucidate the associations between dietary pattern and change in BMI, Wt, WC and hypertension in a 7-year follow-up study. The strong association between favourable body composition and traditional diet, compared with an increase in BMI, WC and Wt with modern diet suggests that there is an urgent need to develop age-specific dietary guideline for older Chinese people.
很少有研究探讨营养变化对体重指数(BMI)、体重(Wt)、腰围(WC)和高血压的影响,尤其是针对中国老年人群体。
利用2004 - 2011年中国健康与营养调查数据,本研究共纳入6348例年龄≥60岁的观察对象。参与者数量从2004年的2197人降至2006年的1763人、2009年的1303人以及2011年的1085人。通过连续三天的24小时回顾法获取参与者的饮食信息。在每个调查年份还测量了身高、体重、腰围、收缩压和舒张压。采用主成分分析方法通过探索性因素分析得出饮食模式。使用线性混合模型研究饮食模式与BMI、体重和腰围之间的关联。使用广义估计方程模型评估饮食模式与高血压之间的关联。
随着时间推移,老年人的饮食正朝着现代饮食模式转变(高摄入乳制品、水果、蛋糕和快餐)。传统和现代饮食模式与BMI、体重和腰围有明显关联。传统饮食成分处于最高四分位数的参与者,BMI降低的β值(均值差异)为 -0.23(95%置信区间:-0.44;-0.02),体重降低的β值为 -0.90(95%置信区间:-1.42;-0.37);腰围降低的β值为 -1.57(95%置信区间:-2.32;-0.83)。然而,现代饮食处于最高四分位数的参与者,BMI增加的β值为0.29(95%置信区间:0.12;0.47);体重增加的β值为1.02(95%置信区间:0.58;1.46);腰围增加的β值为1.44(95%置信区间:0.78;2.10)。未发现饮食模式与高血压之间存在显著关联。
在一项为期7年的随访研究中,我们阐明了饮食模式与BMI、体重、腰围变化及高血压之间的关联。与现代饮食导致BMI、腰围和体重增加相比,良好的身体组成与传统饮食之间的强关联表明,迫切需要为中国老年人制定特定年龄段的饮食指南。