Skip to main content

ORIGINAL RESEARCH article

Front. Aging Neurosci.
Sec. Parkinson’s Disease and Aging-related Movement Disorders
Volume 17 - 2025 | doi: 10.3389/fnagi.2025.1513373
This article is part of the Research Topic Brain-body Interactions Underlying Comorbid Depression and Other Mood Disorders View all 5 articles

Bidirectional relationship between depression and activities of daily living and longitudinal mediation of cognitive function in patients with Parkinson's disease

Provisionally accepted
Yue Xu Yue Xu 1,2Durong Chen Durong Chen 2Meiqi Dong Meiqi Dong 2*Yun Zhang Yun Zhang 1,3*Hongmei Yu Hongmei Yu 2,4,5*Yanqing Han Yanqing Han 1,2,3*
  • 1 Department of Neurology, Shanxi Cardiovascular Hospital, Taiyuan, China
  • 2 Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province, China
  • 3 Department of Neurology, Cardiovascular Hospital Affiliated to Shanxi Medical University, Taiyuan, China
  • 4 Shanxi Provincial Key Laboratory of Major Diseases Risk Assessment, Shanxi Medical University, Taiyuan, China
  • 5 MOE Key Laboratory of Coal Environmental Pathogebicity and Prevention, Shanxi Medical University, Taiyuan, China

The final, formatted version of the article will be published soon.

    Introduction: To investigate the bidirectional relationship between depression and activities of daily living (ADL) in Parkinson's disease (PD) patients and explore the mediating role of cognitive function over time. Methods: Data from 892 PD patients from the Parkinson's Progression Markers Initiative (PPMI) database were included in this study, and depression, cognitive function, and ADL were measured using the Geriatric Depression Scale (GDS-15), Montreal Cognitive Assessment Scale (MoCA), and Unified Parkinson's Disease Rating Scale, Part II (UPDRS II) respectively. The cross-lagged panel model (CLPM) was employed to analyze the reciprocal relationship between depression and ADL.Then, we explored the mediating role of cognitive function in the bidirectional relationship between 2 depression and ADL in patients with PD, and the mediation effect test was carried out using a biascorrected nonparametric percentile bootstrap approach.Results: Depression in patients with PD predicted their subsequent ADL (β = 0.079, p < 0.01), and ADL also predicted their subsequent depression (β = 0.069, p < 0.05), In addition, Bootstrap analysis showed that cognitive function played a significant mediating role in prediction of depression to ADL in patients with PD (β = 0.006, p = 0.074, 95%CI = 0.001~0.014), and cognitive function also played a significant mediating role in prediction of depression to ADL (β = 0.006, p = 0.067, 95%CI = 0.001~0.013).There is a bidirectional relationship between depression and ADL in patients with PD. Furthermore, we found that cognitive function mediates the relationship that exists between depression and ADL in patients with PD. Interventions aimed at enhancing cognitive function could potentially lessen the vicious cycle of depression and ADL in PD, thus improving patient quality of life (QOL).

    Keywords: Parkisons's disease1, depression2, cognitive function3, Activities of daily living4, Cross-lagged model5, longitudinal mediation analysis6

    Received: 18 Oct 2024; Accepted: 31 Jan 2025.

    Copyright: © 2025 Xu, Chen, Dong, Zhang, Yu and Han. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Meiqi Dong, Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province, China
    Yun Zhang, Department of Neurology, Shanxi Cardiovascular Hospital, Taiyuan, China
    Hongmei Yu, Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province, China
    Yanqing Han, Department of Neurology, Shanxi Cardiovascular Hospital, Taiyuan, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.