Community Environment and Loneliness Trajectories Among Chinese Older Adults: The Moderating Role of Urban–Rural Residence.

This study aims to identify loneliness trajectory patterns among Chinese older adults, examine the association between community environment and loneliness trajectory patterns, and test the moderating role of urban–rural residence in the association. Data were obtained from 2011, 2013, 2015, 2018, a...

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Published in:Health & Social Care in the Community Vol. 2026; pp. 1 - 14
Main Authors: Si, Jiacheng, Wang, Yang, Raut, Nivedita
Format: research tables/charts Journal Article
Published: Wiley-Blackwell 8/23/2026
Online Access:View this record in EBSCOhost
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      dt: 8/23/2026
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      pub: Wiley-Blackwell
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        10.1155/hsc/7023723
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        atl: Community Environment and Loneliness Trajectories Among Chinese Older Adults: The Moderating Role of Urban–Rural Residence.
      aug:
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          Si, Jiacheng
          Wang, Yang
          Raut, Nivedita
        affil: School of Public Administration and Policy,, Renmin University of China,, Beijing, China, ruc.edu.cn
      sug:
        subj:
          Urban Areas China
          Rural Areas China
          Loneliness Trends
          Residence Characteristics
          Social Environment
          Human
          Funding Source
          China
          Male
          Female
          Aged
          Aged, 80 and Over
          Mediation Analysis
          Logistic Regression
          Questionnaires
          Descriptive Statistics
          Data Analysis Software
          T-Tests
          Chi Square Test
          Confidence Intervals
          Built Environment
          Transportation
          Aged: 65+ years
          Aged, 80 & over
          Male
          Female
      ab: This study aims to identify loneliness trajectory patterns among Chinese older adults, examine the association between community environment and loneliness trajectory patterns, and test the moderating role of urban–rural residence in the association. Data were obtained from 2011, 2013, 2015, 2018, and 2020 waves of the China Health and Retirement Longitudinal Study. A total of 6589 participants aged 60 or above were enrolled. This study employed a group‐based trajectory model to investigate loneliness trajectory patterns from 2011 to 2020. The findings revealed three patterns: low‐stable (54%), medium‐increasing (13%), and high‐stable (33%). Results of multinomial logistic regression showed community environment significantly associated with loneliness trajectory patterns. Specifically, compared to participants with low‐stable loneliness trajectory pattern, the community environment was negatively associated with those experiencing high‐stable loneliness trajectory pattern, and that association was true for urban residents only. The findings contribute crucial evidence that better community environment at baseline was associated with a lower likelihood of belonging to adverse loneliness trajectory patterns over the follow‐up period, and they provide implications for community environment improvement, considering urban–rural disparities.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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