Evidence map›Paper›PMID 40158180›Full record

ArticleBMC cardiovascular disorders2025

Prevalence and clustering of modifiable cardiovascular disease risk factors among elderly adults in Yuexiu district, Guangzhou City, China: a cross sectional study.

Xiaomin Zhang, Xiaoyan Gu, Yongneng Xu, Xiaoxia Wang, Fan Weng, Yanting Wen, Jun Huang, Kun Li

Abstract read
In one paragraph

Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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

2 citing papers in PubMed.

  1. Review
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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

8 authors.

Xiaomin Zhang *Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Xiaoyan Gu *Department of Endocrinology and metabolism, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Yongneng XuDepartment of Geriatrics, Guangdong Provincial Geriatrics Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 510080, No.106 Zhong Shan Second Road, Guangzhou, China.
Xiaoxia WangDepartment of Geriatrics, Guangdong Provincial Geriatrics Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 510080, No.106 Zhong Shan Second Road, Guangzhou, China.
Fan WengYuexiu District Center for Disease Control and Prevention, Guangzhou, China.
Yanting WenYuexiu District Center for Disease Control and Prevention, Guangzhou, China.
Jun Huang *Department of Geriatrics, Guangdong Provincial Geriatrics Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 510080, No.106 Zhong Shan Second Road, Guangzhou, China. huangjungdci@163.com.
Kun Li *School of Nursing, Sun Yat-sen University, No.74 Zhong Shan Second Road, Guangzhou, 510080, China. likun22@mail.sysu.edu.cn.

Funding

Medical Scientific Research Foundation of Guangdong Province of China A2021129
6 · The paper itself

Abstract

backgroundCardiovascular disease has a high prevalence and mortality rate, which are mainly due to the aging population and the high prevalence and clustering of modifiable cardiovascular risk factors (CRFs); however, studies on the aging Chinese population are limited. The study aimed to investigate the prevalence and clustering of CRFs among the elderly population to provide evidence for the overall planning of medical resources and disease management.

methodsIn this cross-sectional study, 41,517 participants aged ≥ 65 years were recruited from January 2020 to April 2021 in the Yuexiu district, Guangzhou city, China. Sociodemographic and health examination data were collected.

resultsAmong the 41,517 participants, 42.2% were male. The prevalence rates of hypertension, diabetes, dyslipidemia, overweight/obesity, and smoking were 87.1%, 33.3%, 47.6%, 45.5%, and 7.6%, respectively. Participants with ≥ 1, ≥2, and ≥ 3 CFRs accounted for 96.3%, 75.0%, and 38.7% of the study population, respectively. After adjusting for sex, education level, marital status, and physical activity level, older age and drinking were independent risk factors for CRF clustering.

conclusionsExcluding smoking, there is a high prevalence of CRFs in the elderly population of Southern China, especially hypertension. In addition, the clustering of CRFs was high. In the future, a healthy lifestyle should be promoted in the elderly, and the prevention and management of CRFs should be optimized according to the prevalence and cluster characteristics.

Indexed as

Cardiovascular DiseasesAgedAged, 80 and overAge FactorsChinaCluster AnalysisCross-Sectional StudiesDiabetes MellitusFemaleHeart Disease Risk FactorsHumansHypertensionMalePrevalenceRisk AssessmentRisk FactorsAgedCardiovascular diseaseClusteringPrevalenceRisk factors

Identifiers

PMID40158180
PMCPMC11954338

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.