Economics of Safety, Health, and Risk Group, Newcastle University, Institute of Health and Society, Newcastle upon Tyne, UK.
Obesity (Silver Spring). 2012 May;20(5):978-84. doi: 10.1038/oby.2011.351. Epub 2011 Dec 15.
Understanding the mechanisms contributing to correlated BMI outcomes in a social network such as siblings will help policy makers reduce the burden of disease associated with obesity. There are two potential mechanisms explaining correlated BMI outcomes in a biologically related social network: (i) time constant factors such as genetic heritability and habits formed during childhood and (ii) factors that change over time some of which are dependent on the frequency of interactions between the social network, for example, social norms shaped by the social network's shifting attitudes towards weight and behaviors related to weight, or environmental factors like opportunities for exercise. This study aims to distinguish between time constant factors from factors that are likely to change over time to gain a better understanding of the mechanisms explaining the correlation in sibling BMI. We exploit data from the Panel Study of Income Dynamics (PSID) over 1999-2007 estimating the correlation in BMI for adult siblings who currently live in separate households but grew-up in the same household and adolescent siblings currently living in the same household to isolate the influence of factors that change over time. The findings indicate that time constant factors explain some of the overall correlation in sibling BMI for both cohorts of siblings. Factors that change over time only significantly impact on the overall correlation in BMI for adolescent siblings suggesting if there is a social network influence on correlations in BMI this is facilitated by sharing the same household.
了解导致社交网络(如兄弟姐妹)中 BMI 结果相关的机制将有助于政策制定者减轻与肥胖相关的疾病负担。在具有生物学相关性的社交网络中,有两种潜在的机制可以解释 BMI 结果的相关性:(i)时间常数因素,如遗传可遗传性和儿童时期形成的习惯,以及(ii)随时间变化的因素,其中一些因素取决于社交网络之间的互动频率,例如,社交网络对体重的态度以及与体重相关的行为所塑造的社会规范,或环境因素,如锻炼机会。本研究旨在区分时间常数因素和可能随时间变化的因素,以更好地了解解释兄弟姐妹 BMI 相关性的机制。我们利用 Panel Study of Income Dynamics(PSID)在 1999-2007 年的数据,对目前居住在不同家庭但在同一家庭中长大的成年兄弟姐妹以及目前居住在同一家庭中的青少年兄弟姐妹的 BMI 进行相关估计,以隔离随时间变化的因素的影响。研究结果表明,时间常数因素解释了两个兄弟姐妹群体 BMI 总相关性的一部分。随时间变化的因素仅对青少年兄弟姐妹 BMI 的总相关性有显著影响,这表明如果社交网络对 BMI 的相关性有影响,那么这是通过共享同一家庭来实现的。