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Longitudinal study of variation in body mass index in middle-aged UK females

机译:英国中年女性体重指数变化的纵向研究

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摘要

The importance of changing patterns of obesity in society and its implications for public health are well recognized. However, the adult life course of body mass index (BMI) changes in individuals over time is largely unknown and has mostly been extrapolated from cross-sectional studies. The present study examines individual specific variation of BMI during a 15-year follow-up period in a community-based sample of UK females. We attempted to establish whether there is a common, generalized pattern which captures variation in BMI over time. The participants of this study belong to a prospective population cohort of British women studied intensively since 1989: the Chingford Study. The sample originally consisted of 1,003 women aged 45–68 years, who were assessed annually for BMI during follow-up period. Polynomial regression models were used to assess longitudinal BMI variation. We observed a great stability in individual BMI variation during the follow-up period, reflected by high correlations between the baseline BMI and follow-up BMI 10 and 15 years later (r = 0.876, N = 810, and r = 0.824, N = 638, respectively). We also found that three different major age-related patterns in BMI could be clearly identified: no change in 30.6% in 58% it increased and in 11.4% it decreased with age. Thus, our data suggest that individual age-related changes in BMI are very different. Therefore, simply combining all individuals into groups by any other criteria (age, sex, etc.) and overlooking the distinctive patterns of BMI change may lead to biased inferences in epidemiologic and etiologic research of the future.
机译:人们已经认识到改变社会上的肥胖模式的重要性及其对公共卫生的影响。但是,成人的身体质量指数(BMI)随时间变化的生活过程在很大程度上是未知的,并且大部分是从横断面研究中推断出来的。本研究在以社区为基础的英国女性样本中,研究了在15年的随访期间BMI的个体具体差异。我们试图确定是否存在一个通用的通用模式,该模式可以捕获BMI随时间的变化。这项研究的参与者属于自1989年以来经过深入研究的英国妇女的预期人群:Chingford研究。样本最初包括1,003名年龄在45-68岁之间的女性,这些女性在随访期内每年接受BMI评估。多项式回归模型用于评估纵向BMI变化。我们观察到在随访期间个体BMI变异具有很大的稳定性,这反映在基线BMI与10年和15年后的随访BMI之间高度相关(r = 0.876,N = 810,r = 0.824,N =分别为638)。我们还发现,BMI中三种主要的与年龄相关的主要模式可以清楚地识别出来:30.6%的变化(58%的变化没有变化,而11.4%的变化随年龄的变化下降)。因此,我们的数据表明,与年龄相关的个体BMI变化非常不同。因此,仅通过任何其他标准(年龄,性别等)将所有个体归为一组,而忽略BMI变化的独特模式,可能会导致未来的流行病学和病因学研究偏颇。

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