ORIGINAL RESEARCH article
Front. Public Health
Sec. Aging and Public Health
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1576697
This article is part of the Research Topic(Un)healthy lifestyles, Aging, and Type 2 DiabetesView all 7 articles
Influence of lifestyles on physical, psychological, and cognitive co-morbidity among older adults with diabetes in rural area
Provisionally accepted- 1Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China
- 2Institute of Mental Health, Peking University Sixth Hospital, Beijing, Beijing Municipality, China
- 3Department of Health management, College of Public Health, Zhengzhou University, Zhengzhou, Henan Province, China
- 4Department of Neurology, Henan Provincial People’s Hospital, Zhengzhou, Henan Province, China
- 5Dar es Salaam Institute of Technology, Dar es Salaam, Tanzania
- 6Henan Provincial People's Hospital, Zhengzhou, Henan Province, China
- 7Fuwai Central China Cardiovascular Hospital, Zhengzhou, Henan Province, China
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
The association between lifestyles and the co-occurrence of physical, psychological, and cognitive conditions in older adults living with diabetes, especially in rural settings, remains unclear. This study investigated the prevalence of comorbidity and their association with lifestyle in a rural population of older adults with diabetes.Methods: From 1st July to 31 August 2023, a cross-sectional study based on the whole cluster sampling method was conducted in Jia County, Henan Province, China.Participants included adults aged ≥65 years. Lifestyle factors assessed included physical activity, diet, smoking, sleep, and social participation. Physical disease was defined as the presence of one or more chronic conditions, while psychological and cognitive disorders were measured using validated scales. Co-morbidity refers to the occurrence of physical, psychological, cognitive diseases. Depending on the number of diseases, we define different comorbidity status. The subgroups of subdivision included eight categories: no co-morbidity, physical co-morbidity, psychological co-morbidity, cognitive co-morbidity, and their four combinations. Logistic regression models were employed to estimate the association between lifestyles and co-morbidity. The net difference in lifestyle between co-morbidity categories was determined using the propensity score matching (PSM).Results: Among 6075 participants, the overall prevalence of physical, psychological, and cognitive co-morbidity was 86.08%. Regular physical activity, adequate sleep, healthy diet, and active social participation were associated with lower prevalence of co-morbidity. A one-unit increase in the lifestyle score was associated with a 34% (OR: 0.66, 95%CI: 0.61-0.72) reduction in the odds of physical-psychological-cognitive comorbidity. PSM analyses showed significant differences in lifestyle factors and scores across different co-morbidity status.Given the higher prevalence of co-morbidity in rural area and the positive association of lifestyle with co-morbidity status, multifactorial lifestyle interventions should be prioritized within diabetic populations to reduce the risk and burden of cooccurring conditions.
Keywords: lifestyles, physical co-morbidity, psychological co-morbidity, cognitive comorbidity, older adults, diabetes
Received: 14 Feb 2025; Accepted: 17 Jun 2025.
Copyright: © 2025 Miao, Zhen, Wei, Shen, Zhang, Zhu, Bai, Ren, Guo, Tarimo, Zhang, Cui, Li, Dong and Zhao. 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: Yudong Miao, Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, 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.