Evidence map›Paper›PMID 39045092›Full record

ArticlePreventive medicine reports2024

Prevalence and influencing factors of chronic diseases among the elderly in Southwest China: A cross-sectional study based on community in urban and rural areas.

Wenqian Su, Yan Lin, Lingli Yang, Wenyang Zhang, Zhengjiao Dong, Jingjing Zhang

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Article in Preventive medicine reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–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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3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

6 authors.

Wenqian SuSchool of Public Health, Kunming Medical University, Kunming, China.
Yan LinDepartment of Otolaryngology, The First Affiliation Hospital of Kunming Medical University, Kunming, China.
Lingli YangDepartment of Science and Technology Education, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Wenyang ZhangSchool of Public Health, Kunming Medical University, Kunming, China.
Zhengjiao DongDepartment of Nutrition, The Sixth Affiliated Hospital of Kunming Medical University, Kunming, China.
Jingjing ZhangSchool of Public Health, Kunming Medical University, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the influencing factors affecting chronic diseases of elderly in Kunming. Methods: Data were collected from November 2020 to August 2021.The crosssectional study based on community was adopted. And hierarchical random sampling was used. A face to face questionnaire survey was conducted among the respondents or family caregivers. The contents we collected mainly include general demographic characteristics and other related influencing factors, self-reported chronic diseases and disability status. Results: 1161 elderly were investigated in total. The percentage of non-communicable chronic disease among the rural elderly was higher than that of urban elderly. Binary logistic regression analysis showed that in urban areas, female (OR: 0.592;95 %CI:0.396 ∼ 0.885), not in marriage (OR:1.643;95 %CI:1.093 ∼ 2.470)and not very satisfied with family support (OR:1.858;95 %CI:1.115 ∼ 3.096) are the influencing factors of chronic disease, while in rural areas are not in marriage (OR:1.961;95 %CI:1.021 ∼ 3.763), more health-promoting behavior (OR:0.582;95%CI:0.350 ∼ 0.970), not very satisfied with family support (OR:1.858;95 %CI:1.115 ∼ 3.096), age 70-79 (OR:1.805;95 %CI:1.705 ∼ 3.031), age 80 and above (OR:2.081;95 %CI:1.010 ∼ 4.288), empty nest family (OR:0.389;95 %CI:0.186 ∼ 0.811)and personal monthly income 2001-3000 (OR:0.353;95CI%:0.180 ∼ 0.693). The influencing factors of urban-rural multimorbidity and non-communicable chronic disease with disability also exist differences at individual, family and social levels. Conclusions: The prevalence rate of non-communicable chronic diseases among the elderly in Yunnan Province is not optimistic. Personal, family and social factors would affect the non-communicable chronic diseases of the elderly and there exist difference in influencing factor of non-communicable chronic disease between urban and rural areas.

Indexed as

Chronic non-communicable diseaseInfluencing factorsPublic HealthThe elderlyUrban-rural

Identifiers

PMID39045092
PMCPMC11263618

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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.