摘要
Introduction:Depression among older adults has emerged as a critical public health concern in China.While previous studies have demonstrated spatial heterogeneity in the prevalence of depressive symptoms among elderly populations across China,the spatiotemporal evolution of this phenomenon remains inadequately explored.This study aimed to estimate city-level prevalence of depressive symptoms among elderly Chinese residents from 2013 to 2020 and analyze its spatial-temporal patterns.Methods:Data were obtained from the China Health and Retirement Longitudinal Study(CHARLS)surveys conducted in 2013,2015,2018,and 2020.The study employed sandwich estimation methodology to calculate prevalence rates,while global autocorrelation analysis was utilized to evaluate spatial patterns in the distribution of depressive symptoms.Results:The average prevalence of depressive symptoms among Chinese older adults demonstrated a consistent increase from 30.27%[95%confidence interval(CI):24.53%,36.02%]in 2013 to 37.79%(95%CI:31.01%,44.56%)in 2020.Higher prevalence rates were observed in cities across Southwest,Northwest,and Central China,although no significant spatial aggregation was detected.Conclusions:The prevalence of depressive symptoms among older adults in China showed a substantial increase between 2013 and 2020.Enhanced preventive measures and interventions are particularly needed to improve mental well-being among elderly populations in China’s western and central regions.
基金
Supported by the National Natural Science Foundation of China(No.42130713)
the Innovation Project of LREIS(No.O88RA205YA)
the National Natural Science Foundation of China(No.42407621).
