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英国中年女性体重指数变化的纵向研究。

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

作者信息

Livshits Gregory, Malkin Ida, Williams Frances M K, Hart Deborah J, Hakim Alan, Spector Timothy D

机构信息

Department of Twin Research and Genetic Epidemiology, Kings College London, St Thomas' Hospital, London, SE1 7EH, UK.

出版信息

Age (Dordr). 2012 Oct;34(5):1285-94. doi: 10.1007/s11357-011-9299-0. Epub 2011 Aug 19.

Abstract

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.

摘要

社会中肥胖模式的变化及其对公众健康的影响已得到充分认识。然而,个体随时间变化的体重指数(BMI)在成年期的变化情况在很大程度上尚不清楚,且大多是从横断面研究中推断出来的。本研究在一个基于社区的英国女性样本中,考察了15年随访期内BMI的个体特异性变化。我们试图确定是否存在一种能捕捉BMI随时间变化的共同、普遍模式。本研究的参与者属于自1989年起就被深入研究的英国女性前瞻性人群队列:钦福德研究。样本最初由1003名年龄在45 - 68岁的女性组成,在随访期间每年对她们的BMI进行评估。采用多项式回归模型评估BMI的纵向变化。我们观察到在随访期间个体BMI变化具有很大的稳定性,这体现在基线BMI与10年后和15年后的随访BMI之间具有高度相关性(分别为r = 0.876,N = 810;r = 0.824,N = 638)。我们还发现可以明确识别出三种不同的与年龄相关的主要BMI模式:30.6%没有变化,58%随年龄增加,11.4%随年龄降低。因此,我们的数据表明个体与年龄相关的BMI变化差异很大。所以,简单地按照任何其他标准(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,可能会导致未来流行病学和病因学研究中的推断出现偏差。

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