Skip to main content

ORIGINAL RESEARCH article

Front. Public Health
Sec. Aging and Public Health
Volume 12 - 2024 | doi: 10.3389/fpubh.2024.1422000
This article is part of the Research Topic Cognitive Impairment and Physical Function in Older Adults View all 30 articles

The Relationship between Multimorbidity and Cognitive Function in Older Chinese Adults: Based on Propensity Score Matching

Provisionally accepted
Yumeng Zhang Yumeng Zhang 1,2Xiaoli Yuan Xiaoli Yuan 1*Zhixia Jiang Zhixia Jiang 3*Rujun Hu Rujun Hu 1Heting Liang Heting Liang 1*Qingyun Mao Qingyun Mao 2Yan Xiong Yan Xiong 2*Jiabi Zhang Jiabi Zhang 4*Mi Liu Mi Liu 4*
  • 1 Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou Province, China
  • 2 Zunyi Medical University, Zunyi, China
  • 3 Guiyang Nursing Vocational College, Guiyang, Guizhou Province, China
  • 4 Kweichou Moutai Hospital, Zunyi, Guizhou Province, China

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

    Objective: The goal of this study was to further validate the effect of multimorbidity on cognitive performance in older adults after controlling for confounders using propensity score matching (PSM). Methods: A cross-sectional survey of elderly people aged 60 years or older selected by convenience sampling was conducted in seven medical institutions, three communities, and five nursing homes in Zunyi City, Guizhou Province. The data collected included general information, health-related information, and Mini-Mental State Examination (MMSE) scores. Variables were controlled for confounders by PSM to analyze differences in cognitive ability between multimorbidity and nonmultimorbidity older adults. Logistic regression and multivariate-adjusted restricted cubic spline (RCS) curves for matched samples were used to assess the relationship between multimorbidity and cognitive decline. Results: A total of 14175 respondents were enrolled, and the mean age of the participants included in this study was 71.26±7.1 years, including 7170 (50. 58%) of the participants were males, 7005 (49.42%) were females, and 5482 participants (38.67%) were screened for cognitive decline. After PSM, logistic regression analysis revealed that multimorbidity was a risk factor for cognitive decline (OR=1.392, 95% CI=1.271-1.525, P<0.001). The RCS show that the risk of cognitive decline is always greater in older adults with multimorbidity than in older adults without multimorbidity at the same age. Age, sex, marital status, educational level, monthly income, drinking status, participation in social activities, and exercise were influential factors for cognitive decline in older adults (P<0.05). The incidence of cognitive decline in older adults with multimorbidity was also greater than that in older adults with one chronic disease (P<0.001). Conclusion: The risk of cognitive decline in older adults with multimorbidity is greater than that in older adults without multimorbidity; therefore, the government should strengthen the prevention and treatment of multimorbidity in older adults to further protect their cognitive abilities.

    Keywords: cognitive, multimorbidity, older adults, cognitive decline, Propensity score matching

    Received: 23 Apr 2024; Accepted: 30 Aug 2024.

    Copyright: © 2024 Zhang, Yuan, Jiang, Hu, Liang, Mao, Xiong, Zhang and Liu. 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:
    Xiaoli Yuan, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, Guizhou Province, China
    Zhixia Jiang, Guiyang Nursing Vocational College, Guiyang, 550001, Guizhou Province, China
    Heting Liang, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, Guizhou Province, China
    Yan Xiong, Zunyi Medical University, Zunyi, China
    Jiabi Zhang, Kweichou Moutai Hospital, Zunyi, Guizhou Province, China
    Mi Liu, Kweichou Moutai Hospital, Zunyi, Guizhou Province, 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.