School of Health Sciences, Wuhan University, 115 Donghu Road, Wuhan City, 430071, Hubei Province, China.
Sci Rep. 2021 May 10;11(1):9874. doi: 10.1038/s41598-021-89354-6.
This study aimed to identify the multi-trajectories of 3-D health of older adults in China and to explore whether the childhood predictors are associated with 3-D health trajectory. Data came from five waves of the China Health and Retirement Longitudinal Study (CHARLS, 2011 to 2018). A multi-trajectory modeling approach was carried out to jointly estimate the trajectories of 3-D health. A multinomial regression model was used to investigate the relationships between childhood predictors and the joint trajectories. We identified three typical joint 3-D health trajectories. Female, childhood health, maternal and paternal educations, childhood friendships, family and neighborhood predictors could all affect 3-D health trajectories of older adults directly or indirectly through adult variables. The 3-D health trajectories showed increasing trends, thus the government should perform more interventions toward the childhood predictors for better health of older adults.
本研究旨在识别中国老年人三维健康的多轨迹,并探讨儿童期预测因素是否与三维健康轨迹相关。数据来自中国健康与退休纵向研究(CHARLS)的五个波次(2011 年至 2018 年)。采用多轨迹建模方法联合估计三维健康轨迹。使用多项回归模型探讨儿童期预测因素与联合轨迹之间的关系。我们确定了三种典型的联合三维健康轨迹。女性、儿童健康、父母教育程度、儿童时期的友谊、家庭和邻里预测因素都可以通过成人变量直接或间接地影响老年人的三维健康轨迹。三维健康轨迹呈上升趋势,因此政府应该针对儿童期预测因素进行更多干预,以提高老年人的健康水平。