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首页> 外文期刊>Asia Pacific journal of clinical nutrition >Why is there gender disparity in the body mass index trends among adults in the 1997-2011 China health and nutrition surveys?
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Why is there gender disparity in the body mass index trends among adults in the 1997-2011 China health and nutrition surveys?

机译:为什么在1997-2011年中国健康与营养调查中成年人体重指数趋势中存在性别差异?

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摘要

Background and Objective: Over the past three decades, the prevalence of overweight and obesity in China has increased greatly. Chinese body mass index (BMI) dynamics have shown much greater rates of changes among men, aged 18-45 years, than among women. This study examined the gender difference in the BMI trends and related factors. Methods and Study Design: We used longitudinal data from the China Health and Nutrition Survey collected in 1997, 2000, 2004, 2006, 2009 and 2011. A total of 10,982 participants (N=5339 men and 5643 women) aged 18-45 years were included in the final analysis. Lambda mu sigma method (LMS) was used to describe changes of BMI distribution. Separate sex-stratified multilevel random intercept-slope growth models were applied to examine effects of individual and community variables on BMI trends of Chinese adults. Results: Male BMI increased by 0.21 kg/m(2) overtime, which was larger than female BMI at 0.16 kg/m(2). Higher income, drinking and away-from-home food consumption were associated with higher BMI, and these variables were only significant among men. Physical activity (PA) had a negative association for both genders. Conclusions: Since different variables resulted in gender disparity in BMI trends among Chinese adults, separate health policies should be developed for men and for women.
机译:背景与目的:在过去的三十年中,中国超重和肥胖症的患病率大大增加。中国的身体质量指数(BMI)动态显示,年龄在18-45岁之间的男性变化率比女性高得多。这项研究检查了BMI趋势中的性别差异和相关因素。方法和研究设计:我们使用了1997年,2000年,2004年,2006年,2009年和2011年中国健康与营养调查的纵向数据。年龄在18-45岁之间的10982名参与者(N = 5339名男性和5643名女性)归结为最终分析。 Lambda mu sigma方法(LMS)用于描述BMI分布的变化。分别使用性别分层的多层次随机截距-坡度增长模型来检验个人变量和社区变量对中国成年人BMI趋势的影响。结果:男性BMI超时增加0.21 kg / m(2),大于女性BMI 0.16 kg / m(2)。较高的收入,饮酒和外出就餐的消费与较高的BMI有关,这些变量仅在男性中有意义。身体活动(PA)对男女均呈负相关。结论:由于不同的变量导致中国成年人BMI趋势中的性别差异,应针对男性和女性制定单独的卫生政策。

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