Evidence map›Paper›PMID 40596175›Full record

ArticleScientific reports2025

The association between physical activity and the prevalence of comorbidity: a cross-sectional survey.

XiaoLi Fu, ChiWen Wang, Yaoying Wang, LiJun Gong, Han Liu, ZhanLei Shen, Dongfang Zhu, Jingbao Zhang, Junwen Bai, Ruizhe Ren and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

5 citing papers in PubMed.

  1. Physical literacy in older adults: An evolutionary concept analysis.International journal of nursing sciences · 2026
    Review
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  3. Article
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  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

XiaoLi FuDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
ChiWen WangDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Yaoying WangDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
LiJun GongDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Han LiuDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
ZhanLei ShenDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Dongfang ZhuDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Jingbao ZhangDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Junwen BaiDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Ruizhe RenDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Jinxin CuiDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Mingyue ZhenDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Jiajia ZhangDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Xinran LiDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Yudong MiaoDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China. meldon@zzu.edu.cn.

Funding

The series of cohort studies on healthy lifestyle in tertiary hypertension population (20230013B/20230014B/20230015B)
6 · The paper itself

Abstract

This study aimed to accessed the current status of the physical activity and the prevalence of comorbidity among the elderly (≥ 65 years old) in rural areas and to investigate the effect of physical activity intensity on hypertension-diabetes comorbidity in the elderly. A cross-sectional survey was conducted in Jia County, Pingdingshan, Henan Province from July 1 to August 31, 2023. A questionnaire was used to collect information on socio-demographic factors and chronic diseases, and the IPAQ (short form) to collect information about physical activity. Multivariate logistic regression models were performed to identify factors influencing the prevalence of comorbidity in rural areas. Propensity score matching (PSM) was performed to explore the effects of high-intensity versus low-intensity physical activity on the prevalence of comorbidity among the elderly in rural areas. In total of 16,795 participants were recruited. The prevalence of comorbidity was lower in participants with high-intensity physical activity than in those with low-intensity physical activity (45.4% vs. 58.3%). After adjusting for the effects of potential confounders, we found that the prevalence of comorbidity was higher in females (OR 1.194, 95% CI [1.122-1.271]) than in males. Participants' education level, occupation, and income all influenced the occurrence of comorbidity. PSM analysis revealed a 13.2% difference in comorbidity prevalence between high-and low-intensity physical activity participant. The prevalence of comorbidity is lower in participants with high-intensity physical activity than in those with low-intensity physical activity in rural areas. Physical activity interventions may be strengthened to encourage the elderly to actively increase their physical activity levels. Furthermore, we advocate that more attention should be paid to the physical activity of the elderly, improving the construction of sports facilities in rural areas, and village clinics should strengthen guidance to encourage the elderly to participate in high-intensity physical activities.

Indexed as

Diabetes MellitusExerciseHypertensionAgedAged, 80 and overChinaComorbidityCross-Sectional StudiesFemaleHumansMalePrevalenceRural PopulationSurveys and QuestionnairesComorbidity prevalenceElderlyPhysical activityPSMRural areas

Identifiers

PMID40596175
PMCPMC12219519

What OpenQuestion holds

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Registered trials

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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.