Longitudinal health behaviour patterns among adults aged ≥50 years in China and their associations with trajectories of depressive symptoms

Zeyun Feng*, Thijs van den Broek, Oliver Perra, Jane Murray Cramm, Anna Petra Nieboer*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

3 Citations (Scopus)
62 Downloads (Pure)

Abstract

Objectives: Against the background of the growing recognition of the need for a holistic perspective on health behaviour, we aim to identify longitudinal patterns of multiple health behaviours, and to assess associations of such patterns with depressive symptoms among older people in China. Methods: Using three waves of China Health and Retirement Longitudinal Study data (n = 8439), we performed latent class growth analyses (LCGAs) to identify longitudinal patterns of multiple health behaviours. Random-effects models were estimated to assess associations between health behaviour patterns and depressive symptoms. Results: The best fitting LCGA model had seven classes: (1) connected active non-smokers (average posterior probability: 21.8%), (2) isolated active non-smokers (24.7%), (3) isolated inactive non-smokers (17.0%), (4) isolated active smokers (14.5%), (5) connected active smokers (12.2%), (6) increasingly connected and active non-smokers (5.4%), and (7) moderately connected inactive smokers (4.4%). Depressive symptoms were highest in the four classes with lower probabilities of social participation across waves. No evidence was found of change over time in depressive symptomatology gaps between people with different health behaviour trajectories. Conclusion: Health behaviour patterns characterized by consistently low social participation were associated with raised depressive symptomatology, suggesting that focusing on social participation may benefit later-life mental health promotion strategies.

Original languageEnglish
Pages (from-to)1843-1852
Number of pages10
JournalAging and Mental Health
Volume27
Issue number9
Early online date29 Nov 2022
DOIs
Publication statusPublished - 1 Sept 2023

Bibliographical note

Funding:
This work was supported by the China Scholarship Council under
Fellowship no. 201708310108.

Publisher Copyright:
© 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

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