Evidence map›Paper›PMID 29903789›Full record

ArticleBMJ open2018

Prevalence and clustering of cardiovascular risk factors: a cross-sectional survey among Nanjing adults in China.

Xin Hong, Qing Ye, Jing He, Zhiyong Wang, Huafeng Yang, Shengxiang Qi, Xupeng Chen, Chenchen Wang, Hairong Zhou, Chao Li and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.6field-weighted citation impact, top 9% of its field
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

23 citing papers in PubMed, 41 citations in OpenAlex.

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  11. Risk factor clustering in men and women with CHD in the Southern Cone of Latin America.International journal of cardiology. Cardiovascular risk and prevention · 2023
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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

12 authors at 2 institutions in 1 country.

Xin HongDepartment of Non-communicable Disease Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China.
Qing YeDepartment of Non-communicable Disease Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China.
Jing HeDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.
Zhiyong WangDepartment of Non-communicable Disease Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China.
Huafeng YangDepartment of Non-communicable Disease Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China.
Shengxiang QiDepartment of Non-communicable Disease Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China.
Xupeng ChenDepartment of Non-communicable Disease Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China.
Chenchen WangDepartment of Non-communicable Disease Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China.
Hairong ZhouDepartment of Non-communicable Disease Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China.
Chao LiDepartment of Non-communicable Disease Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China.
Zhenzhen QinDepartment of Non-communicable Disease Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China.
Fei XuDepartment of Non-communicable Disease Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China.ORCID 0000-0003-1785-3635
Nanjing Municipal Center for Disease Control And Prevention · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo estimate prevalence and clustering of cardiovascular risk factors (CRFs), and investigate the association between relevant characteristics and CRF clustering among adults in eastern China.

designCommunity-based cross-sectional study.

settingData were collected by interview survey, physical measurements and laboratory examinations from the 2011 Nanjing Chronic Disease and Risk Factor Surveillance.

participantsA representative sample of 41 072 residents aged ≥18 years volunteered to participate in the survey, with a response rate of 91.3%. We excluded 1232 subjects due to missing data or having a history of cardiovascular diseases; a total of 39 840 participants were included in the analysis. OUTCOME MEASURES: Prevalence and clustering of five major CRFs including hypertension, diabetes, dyslipidaemia, overweight or obesity and current smoking.

resultsOf 39 840 participants (mean age 47.9±16.2 years), 17 964 (45.1%) were men and 21 876 (54.9%) were women. The weighted prevalence of CRFs ranged between 6.2% for diabetes and 35.6% for overweight or obesity. The proportion of CRFs tended to be higher in men, the elderly, participants who lost a life partner, or lived in rural areas, or had lower level of education and total annual income. Overall, 30.1% and 35.2% of participants had one and at least two CRFs, respectively. Multivariate logistic regression revealed that men, older age, loss of a life partner, lower level of socioeconomic status, rural areas, insufficient physical activity or unhealthy diets were positively associated with CVD risk factor clustering, compared with their counterparts.

conclusionsHigh regional prevalence of hypertension, dyslipidaemia, overweight or obesity and their clustering are present in Nanjing. The Nanjing government should develop effective public health policies at the regional level especially for high-risk groups, such as enhancing the public's health awareness, organising health promotion programmes, implementing smoke-free law, producing healthy nutrient foods, providing free or low-cost public sports and fitness facilities.

Indexed as

AdolescentAdultAgedAge DistributionCardiovascular DiseasesChinaCluster AnalysisCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisPrevalenceRisk Factorscardiovascular diseasesChinaclusteringrisk factors

Identifiers

PMID29903789
PMCPMC6009515
OpenAlexW2808081778

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.