Background: Adverse childhood experiences are critical factors in depression and cognitive decrease, but the effect of adverse childhood health experiences (ACHEs) on cognitive function and the role of depression have not been fully studied.
Methods: Data were taken from the China Health and Retirement Longitudinal Study (CHARLS) of 2014 and 2018. This study used indicators of situational memory ability and mental status to measure cognitive capacity.
Introduction: This study aimed to analyze the association of childhood social isolation and behavioral cognition, and moderating effect of family support in middle-aged and older adults.
Methods: The study samples were from the China Health and Retirement Longitudinal Study (CHARLS) of 2014 and 2018. The dependent variable was behavioral cognitive ability, measured by episodic memory and mental state; The independent variable was childhood social isolation, and the moderating variable was family support.
Background: We aimed to explore the association between WeChat usage and depression in the Chinese middle-aged and elderly and the role of social participation.
Methods: Data were obtained from China Health and Retirement Longitudinal Study (CHARLS) of 2018. The dependent variable was depressive symptoms, measured with the 10-item Center for Epidemiologic Studies Depression Scale (CES-D-10).
Objective: From the perspective of informal social support, this paper analysed the impact of factors such as "Relationship with spouse", "Relationship with Children", "Financial support from children", "Sibling support", "Support from other friends and relatives" and "Borrowing costs" on the health poverty vulnerability of elderly people in rural China.
Methods: Based on the data of the China Health and Retirement Longitudinal Study (CHARLS) in 2018, the vulnerability of the rural elderly to health poverty was measured from two dimensions of health status and influencing factors of health status by the three-stage feasible generalized least square method. A quantile regression model was used to analyse the impact of six variables in the informal social support network on health poverty vulnerability: "Relationship with spouse", "Relationship with children", "Financial support from children", " Sibling support", " Support from other friends and relatives", and "Borrowing costs".