6984Erasmus University Rotterdam, Rotterdam, the Netherlands.
J Aging Health. 2021 Jun-Jul;33(5-6):317-330. doi: 10.1177/0898264320981233. Epub 2020 Dec 19.
Drawing on UK Household Longitudinal Study data, this study assessed a pathway from early-life disadvantage to suboptimal later-life health via health behavior. Latent class analysis was used to identify distinct smoking, nutrition, alcohol, and physical activity health behavior profiles. Mediation analyses were performed to assess indirect effects of early-life disadvantage via health behavior on allostatic load, an objective measure of physiological wear and tear. Four health behavior profiles were identified: (1) , (2) , , (3) and (4) . Having grown up in a higher socioeconomic position family was associated with lower later-life allostatic load. This was partly attributable to health behavioral differences. Growing up under disadvantageous socioeconomic circumstances may initiate a chain of risk by predisposing people to health behavior profiles associated with poorer later-life health.
本研究利用英国家庭纵向研究数据，通过健康行为评估了从早期生活劣势到晚年健康不佳的途径。采用潜在类别分析来识别不同的吸烟、营养、酒精和身体活动健康行为特征。进行中介分析以评估早期生活劣势通过健康行为对身体应激的间接影响，身体应激是一种衡量生理磨损的客观指标。确定了四种健康行为特征：（1），（2），（3）和（4）。在较高社会经济地位家庭中长大与较低的晚年身体应激有关。这部分归因于健康行为的差异。在不利的社会经济环境中成长可能会通过使人易患与较差的晚年健康相关的健康行为特征而引发一系列风险。
