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邻里贫困是否会影响体重的遗传影响?

Does neighbourhood deprivation affect the genetic influence on body mass?

机构信息

School of Geographical Sciences, University of Bristol, UK.

School of Geographical Sciences, University of Bristol, UK.

出版信息

Soc Sci Med. 2017 Jul;185:38-45. doi: 10.1016/j.socscimed.2017.05.041. Epub 2017 May 19.

Abstract

Most research into the role of gene-environment interactions in the etiology of obesity has taken environment to mean behaviours such as exercise and diet. While interesting, this is somewhat at odds with research into the social determinants of obesity, in which the focus has shifted away from individuals and behaviours to the types of wider obesogenic environments in which individuals live, which influence and produce these behaviours. This study combines these two strands of research by investigating how the genetic influence on body mass index (BMI), used as a proxy for obesity, changes across different neighbourhood environments measured by levels of deprivation. Genetics are incorporated using a classical twin design with data from Twins UK, a longitudinal study of UK twins running since 1992. A multilevel modelling approach is taken to decompose variation between individuals into genetic, shared environmental, and non-shared environmental components. Neighbourhood deprivation is found to be a statistically significant predictor of BMI after conditioning on individual characteristics, and a heritability of 0.75 is estimated for the entire sample. This heritability estimate is shown, however, to be higher in more deprived neighbourhoods and lower in less deprived ones, and this relationship is statistically significant. While this research cannot say anything directly about the mechanisms behind the relationship, it does highlight how the relative importance of genetic factors can vary across different social environments, and therefore the value of considering both genetic and social determinants of health simultaneously.

摘要

大多数关于基因-环境相互作用在肥胖病因学中的作用的研究都将环境定义为运动和饮食等行为。虽然这很有趣,但这与肥胖的社会决定因素研究有些不同,后者的焦点已经从个人和行为转移到个人生活的更广泛肥胖环境类型上,这些环境会影响和产生这些行为。本研究通过调查遗传对体重指数(BMI)的影响如何随不同的贫困程度的邻里环境而变化,将这两个研究领域结合起来,BMI 被用作肥胖的替代指标。该研究采用经典的双胞胎设计,利用自 1992 年以来一直在进行的英国双胞胎纵向研究 Twins UK 的数据进行分析。采用多层次建模方法将个体之间的变异分解为遗传、共享环境和非共享环境成分。在对个体特征进行条件处理后,发现邻里贫困程度是 BMI 的一个统计学上显著的预测因素,整个样本的遗传率估计为 0.75。然而,研究结果表明,这种遗传率在贫困程度较高的社区更高,在贫困程度较低的社区更低,而且这种关系具有统计学意义。虽然这项研究不能直接说明这种关系背后的机制,但它确实强调了遗传因素的相对重要性如何在不同的社会环境中发生变化,因此同时考虑遗传和社会健康决定因素具有重要意义。

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