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Urban-rural disparities in the healthy ageing trajectory in China: a population-based study.
Li, Haomiao; Zeng, Yixin; Gan, Li; Tuersun, Yusupujiang; Yang, Jiao; Liu, Jing; Chen, Jiangyun.
Afiliación
  • Li H; School of Political Science and Public Administration, Wuhan University, Bayi Road No.299, Wuhan, Hubei Province, China.
  • Zeng Y; School of Health Management, Southern Medical University, No.1023-1063 Shatai Road, Baiyun District, Guangzhou, Guangdong Province, China.
  • Gan L; School of Health Management, Southern Medical University, No.1023-1063 Shatai Road, Baiyun District, Guangzhou, Guangdong Province, China.
  • Tuersun Y; School of Health Management, Southern Medical University, No.1023-1063 Shatai Road, Baiyun District, Guangzhou, Guangdong Province, China.
  • Yang J; School of Health Management, Southern Medical University, No.1023-1063 Shatai Road, Baiyun District, Guangzhou, Guangdong Province, China.
  • Liu J; Guangzhou First People's Hospital, Guangzhou, Guangdong Province, China. ljdana@126.com.
  • Chen J; School of Health Management, Southern Medical University, No.1023-1063 Shatai Road, Baiyun District, Guangzhou, Guangdong Province, China. cjy112@i.smu.edu.cn.
BMC Public Health ; 22(1): 1406, 2022 07 23.
Article en En | MEDLINE | ID: mdl-35870914
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 urban-rural 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] ß = - 1.17, RRR = 0.31, P < 0.001, 95% CI = 0.18-0.53; and for [continuing-middle/continuing-high] ß = - 0.53, RRR = 0.59, P < 0.001, 95% CI = 0.49-0.71).

CONCLUSION:

Healthy ageing is a prominent objective in the development of a country, and rural-urban disparities are an essential obstacle to overcome, with the rural population more likely to develop a low level of healthy ageing trajectory. Prevention and standardized management of chronic diseases should be enhanced, and social participation should be encouraged to promote healthy ageing. The policy inclination and resource investment should be enhanced to reduce disparity in healthy ageing between urban and rural areas in China.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Población Rural / Envejecimiento Saludable Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Humans / Middle aged País/Región como asunto: Asia Idioma: En Revista: BMC Public Health Asunto de la revista: SAUDE PUBLICA Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Población Rural / Envejecimiento Saludable Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Humans / Middle aged País/Región como asunto: Asia Idioma: En Revista: BMC Public Health Asunto de la revista: SAUDE PUBLICA Año: 2022 Tipo del documento: Article País de afiliación: China