# Influence of lifestyles on physical, psychological, and cognitive co-morbidity among older adults with diabetes in rural area

**Authors:** Minfu Bai, Yudong Miao, Jingming Wei, Zhanlei Shen, Dongfang Zhu, Jingbao Zhang, Junwen Bai, Ruizhe Ren, Dan Guo, Clifford Silver Tarimo, Jiajia Zhang, Jinxin Cui, Xinran Li, Wenyong Dong, Qiuping Zhao, Mingyue Zhen

PMC · DOI: 10.3389/fpubh.2025.1576697 · Frontiers in Public Health · 2025-07-03

## TL;DR

This study explores how lifestyle factors affect the co-occurrence of physical, psychological, and cognitive issues in older adults with diabetes in rural China.

## Contribution

The study identifies specific lifestyle factors associated with reduced co-morbidity in rural diabetic older adults.

## Key findings

- 86.08% of participants had physical, psychological, and cognitive co-morbidity.
- A one-unit increase in lifestyle score reduced co-morbidity odds by 34%.
- Lifestyle factors varied significantly across co-morbidity subgroups.

## Abstract

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 co-morbidity and their association with lifestyle in a rural population of older adults with diabetes.

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).

Among 6057 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 co-morbidity. 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 co-occurring conditions.

## Linked entities

- **Diseases:** diabetes (MONDO:0005015)

## Full-text entities

- **Diseases:** anxiety (MESH:D001007), cardiovascular disease (MESH:D002318), depression (MESH:D003866), coronary heart disease (MESH:D003327), Cardiometabolic Disease (MESH:D024821), physical (MESH:D059445), stroke (MESH:D020521), P-Ps (MESH:D000067073), chronic obstructive pulmonary disease (MESH:D029424), arthritis (MESH:D001168), Anxiety Disorder (MESH:D001008), GAD-7 (MESH:C537955), hypertension (MESH:D006973), respiratory disease (MESH:D012140), asthma (MESH:D001249), morbidity (OMIM:614963), chronic disease (MESH:D002908), Cognitive disorder (MESH:D003072), diabetes (MESH:D003920), tuberculosis (MESH:D014376), chronic kidney disease (MESH:D051436), type 2 diabetes (MESH:D003924)
- **Chemicals:** blood glucose (MESH:D001786)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12309496/full.md

## References

37 references — full list in the complete paper: https://tomesphere.com/paper/PMC12309496/full.md

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Source: https://tomesphere.com/paper/PMC12309496