IDEAS home Printed from https://ideas.repec.org/a/spr/ariqol/v20y2025i1d10.1007_s11482-024-10411-z.html
   My bibliography  Save this article

Exploring Gender and Urban-Rural Disparities: Investigating the Association between Multimorbidity and Depressive Symptoms in Middle-Aged and Older Chinese Adults Using Cross-Lagged Panel Analysis

Author

Listed:
  • Man-Man Peng

    (The Chinese University of Hong Kong)

  • Pengfei Wang

    (University of York)

  • Zurong Liang

    (Zhejiang University)

Abstract

Increased risk of multimorbidity has been linked to depressive symptoms, and the onset of multimorbidity can further aggravate these symptoms. However, the lagged relationship between these two factors remains unclear. This study aimed to investigate the bidirectional longitudinal association between multimorbidity and depressive symptoms among middle-aged and older adults in China over time, specifically focusing on gender and urban-rural differences in this relationship. Data from 8692 participants in the China Health and Retirement Longitudinal Study (CHARLS), collected between 2011 and 2020, were analyzed on a biannual basis. The ten-item Center for Epidemiologic Studies Depression Scale (CES-D-10) was utilized to assess depressive symptoms, complemented by self-reported information on 12 chronic diseases to evaluate multimorbidity. Cross-lagged panel models, adjusted for various covariates, were employed to investigate the bidirectional relationship between multimorbidity and depressive symptoms. Furthermore, the analysis examined gender and urban-rural differences across four distinct subgroups: urban men, urban women, rural men, and rural women. A significant bidirectional relationship was identified between multimorbidity and depressive symptoms. Higher levels of multimorbidity were associated with more severe depressive symptoms and vice versa. Path analyses revealed that the influence of multimorbidity on depressive symptoms was stronger than the reverse relationship. Furthermore, subgroup analyses highlighted variability in these associations, with significant bidirectional relationships observed only among rural women across different periods. The findings reveal positive bidirectional associations between multimorbidity and depressive symptoms in middle-aged and older Chinese adults. The results underscore the importance of early monitoring of multimorbidity and depression, especially concerning the mental and physical health of women in rural areas.

Suggested Citation

  • Man-Man Peng & Pengfei Wang & Zurong Liang, 2025. "Exploring Gender and Urban-Rural Disparities: Investigating the Association between Multimorbidity and Depressive Symptoms in Middle-Aged and Older Chinese Adults Using Cross-Lagged Panel Analysis," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 20(1), pages 279-300, February.
  • Handle: RePEc:spr:ariqol:v:20:y:2025:i:1:d:10.1007_s11482-024-10411-z
    DOI: 10.1007/s11482-024-10411-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11482-024-10411-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11482-024-10411-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ariqol:v:20:y:2025:i:1:d:10.1007_s11482-024-10411-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.