Association between factors in life course and physiological disorders among the middle-aged and older population in Zhoushan city of Zhejiang province.

Xingqi Cao, Cedric Zhang Bo Lua, Jia Li, Wei Shao, Chengguo Liu, Di He, Jingyun Zhang, Yongxing Lin, Yimin Zhu, Zuyun Liu
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Abstract

Objective: To analyze the associations between factors in life course and physiological dysregulation in the middle-aged and elderly population in Zhoushan city of Zhejiang province, and the mediating roles of lifestyle and mental health.

Methods: A total of 1553 island residents aged ≥45 years were enrolled from the Zhejiang Metabolic Syndrome Cohort Zhoushan Liuheng Sub-cohort. The demographic information, life course information, lifestyle, and mental health information of participants were documented, and blood samples were collected. The status of aging was evaluated by physiological dysregulation calculation model developed by authors previously. The Shapley value decomposition method was used to assess the cumulative and relative contribution of multiple factors in life course to the aging. Principal component analysis and hierarchical cluster analysis were used to classify subgroups. General linear regression model was used to assess the associations between the life course subgroups and physiological dysregulation, and the key factors associated with aging were finally identified. Logistic regression model, general linear regression model, and mediation analysis model were used to assess the complex associations between life course subgroups, key factors, unhealthy lifestyle, mental health, and aging.

Results: Shapley value decomposition method indicated that eight types of life course factors explained 6.63%(SE=0.0008) of the individual physiological dysregulation variance, with the greatest relative contribution (2.78%) from adversity experiences in adulthood. The study participants were clustered into 4 subgroups, and subgroups experiencing more adversity in adulthood and having low educational attainment or experiencing more trauma and having poorer relationships in childhood had significantly higher levels of physiological dysregulation. Life course subgroups and key factors childhood trauma and health, adversity experience in adulthood, and lower education were positively associated with unhealthy lifestyles (β=0.12-0.41, P<0.05). In addition, life-course subgroups and key factor adversity experience in adulthood were positively associated with psychological problems (OR=2.14-4.68, P<0.05). Unhealthy lifestyle scores showed a marginal significant association with physiological dysregulation (β=0.03, P=0.055). However, no significant association was found between psychological problems and physiological dysregulation (β=0.03, P=0.748). The results of the mediation analysis model suggested that unhealthy lifestyles partially mediated the associations between life course subgroups, adversity experience in adulthood and physiological dysregulation, with the proportions mediated ranged from 3.9%-6.8%.

Conclusion: Multiple life course factors contribute about 6.63% of the variance in physiological dysregulation in the middle aged and elderly population of the study area; subgroups with adverse life course experiences have higher levels of aging; and the association may be partially mediated by unhealthy lifestyles.

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浙江省舟山市中老年人群生活过程中的因素与生理失调之间的关系。
摘要分析浙江省舟山市中老年人群生活过程因素与生理紊乱之间的关系,以及生活方式和心理健康的中介作用:方法:从浙江省代谢综合征队列舟山六横亚队列中纳入 1553 名年龄≥45 岁的海岛居民。研究人员记录了参与者的人口统计学信息、生命历程信息、生活方式和心理健康信息,并采集了血液样本。衰老状况由作者之前开发的生理紊乱计算模型进行评估。沙普利值分解法用于评估生命过程中多种因素对衰老的累积和相对贡献。主成分分析和分层聚类分析用于划分亚组。采用一般线性回归模型评估生命历程亚组与生理失调之间的关联。最终确定了与衰老相关的五个关键因素。采用逻辑回归模型、一般线性回归模型和中介分析模型来评估生命过程亚组、关键因素、不健康生活方式、心理健康和衰老之间的复杂关联:沙普利值分解法表明,8种生活过程因素解释了6.63%(SE=0.0008)的个体生理失调变异,其中成年期逆境经历的相对贡献最大(2.78%)。研究参与者被分为 4 个亚组,成年后经历逆境较多且教育程度较低的亚组,或童年时经历创伤较多且人际关系较差的亚组,其生理失调程度显著较高。生命历程亚组和关键因素(童年创伤与健康、成年后的逆境经历和教育程度较低)与不健康的生活方式呈正相关(β=0.12-0.41,POR=2.14-4.68,Pβ=0.03,P=0.055)。然而,心理问题与生理失调之间没有发现明显的关联(β=0.03,P=0.748)。中介分析模型的结果表明,不健康的生活方式部分中介了生活过程亚群、成年期逆境经历和生理失调之间的关联:结论:研究地区中老年人群生理失调的变异中约有 6% 是由多种生命历程因素造成的;具有不利生命历程经历的亚组老龄化程度更高;不健康的生活方式可能部分地调解了这种关联。
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