Understanding the longitudinal dynamics of rural-urban mental health disparities in later life in China

OBJECTIVES: Understanding longitudinal patterns of rural-urban mental health disparities is vital for effective intervention and policy development in China. However, few studies have estimated separate effects of birth-cohort and ageing and examined the role of community resources on health inequalities.

METHODS: Drawing data from the China Health and Retirement Longitudinal Study (2011-2018), this study employed multilevel modelling to identify the mental health trajectories of rural, peri-urban, urban older adults by cohort and the community effects.

RESULTS: The changes in the mental health gap between rural, peri-urban and urban older adults over time varied by birth cohorts. Among younger cohorts aged under 65, the mental health disparities between rural, peri-urban and urban residents increased as they got older. Underdeveloped community infrastructure greatly explained the rural health disadvantage.

CONCLUSION: The study indicates increasing rural-urban health disparities at the onset of later life. Improving community infrastructure in rural and peri-urban areas is vital to minimise rural-urban health gaps.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:27

Enthalten in:

Aging & mental health - 27(2023), 7 vom: 02. Juli, Seite 1419-1428

Sprache:

Englisch

Beteiligte Personen:

Zhang, Jingwen [VerfasserIn]
Chandola, Tarani [VerfasserIn]
Zhang, Nan [VerfasserIn]

Links:

Volltext

Themen:

Age vector graphs
Ageing effects
Cohort effects
Cumulative inequality
Journal Article
Multilevel modelling
Rural–urban health disparity

Anmerkungen:

Date Revised 20.07.2023

published: Print-Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.1080/13607863.2022.2098912

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM343428245