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The aim of this study is to measure the trajectory of healthy ageing among Chinese middle-aged and older population, and explore the disparity of the trajectory, as well as contributing factors, between urban and rural areas in China.
(2022) 22:1406 Li et al BMC Public Health https://doi.org/10.1186/s12889-022-13757-x Open Access RESEARCH Urban‑rural disparities in the healthy ageing trajectory in China: a population‑based study Haomiao Li1†, Yixin Zeng2†, Li Gan2, Yusupujiang Tuersun2, Jiao Yang2, Jing Liu3* and Jiangyun Chen2,4*† Abstract Purpose: The aim of this study is to measure the trajectory of healthy ageing among Chinese middle-aged and older population, and explore the disparity of the trajectory, as well as contributing factors, between urban and rural areas in China Methods: A total of 9402 respondents aged 45 years and older interviewed in four waves (2011, 2013, 2015 and 2018) were selected from the China Health and Retirement Longitudinal Study Healthy ageing score was calculated through item response theory A latent growth mixture model (LGMM) was applied to distinguish the trajectory of healthy aging A multinomial logistics regression model (MLRM) was used to explore the relationship between urbanrural areas and healthy aging trajectories, and further to explore associated factors in rural and urban areas separately Results: The healthy ageing score was lower in rural areas than urban areas in each survey wave Five classes (“continuing-low”, “continuing-middle”, “continuing-middle-to-high”, “significantly-declining”, “continuing-high”) were grouped through LGMM The MLRM results showed that urban living was significantly associated with a higher likelihood of being healthy (for [continuing-low/continuing-high]: β = − 1.17, RRR = 0.31, P