Evidence map›Paper›PMID 40740354›Full record

ArticleFrontiers in public health2025

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

Minfu Bai, Yudong Miao, Jingming Wei, Zhanlei Shen, Dongfang Zhu, Jingbao Zhang, Junwen Bai, Ruizhe Ren, Dan Guo, Clifford Silver Tarimo and 6 more

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Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Minfu BaiHypertension Department, Fuwai Central China Cardiovascular Hospital, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, China.
Yudong MiaoDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China.
Jingming WeiInstitute of Mental Health, Peking University Sixth Hospital, Beijing, China.
Zhanlei ShenDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China.
Dongfang ZhuDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China.
Jingbao ZhangDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China.
Junwen BaiDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China.
Ruizhe RenDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China.
Dan GuoDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China.
Clifford Silver TarimoDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China.
Jiajia ZhangDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China.
Jinxin CuiDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China.
Xinran LiDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China.
Wenyong DongDepartment of Hypertension, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Qiuping ZhaoHenan Key Laboratory for Health Management of Chronic Diseases, Central China Fuwai Hospital, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, China.
Mingyue ZhenDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: 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. 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 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. Conclusion: 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.

Indexed as

Diabetes MellitusLife StyleRural PopulationAgedAged, 80 and overChinaComorbidityCross-Sectional StudiesExerciseFemaleHumansMalePrevalencecognitive comorbiditydiabeteslifestylesolder adultsphysical co-morbiditypsychological co-morbidity

Identifiers

PMID40740354
PMCPMC12309496

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.