Evidence map›Paper›PMID 26703706›Full record

ArticleInternational journal of environmental research and public health2015

Risk Factors for Cardiovascular Disease and Their Clustering among Adults in Jilin (China).

Jianxing Yu, Yonghui Ma, Sen Yang, Kai Pang, Yaqin Yu, Yuchun Tao, Lina Jin

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
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  11. Multimorbidity Analysis of 13 Systemic Diseases in Northeast China.International journal of environmental research and public health · 2020
    Article
  12. Prevalence of Cardiovascular Diseases Risk Factors among Jordanians.Journal of the Saudi Heart Association · 2020
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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

7 authors at 1 institution in 1 country.

Jianxing YuEpidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin 130021, China. yjxjlu@163.com.
Yonghui MaEpidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin 130021, China. mayh@jlu.edu.cn.
Sen YangEpidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin 130021, China. yangs@jlu.edu.cn.
Kai PangEpidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin 130021, China. pangk@jlu.edu.cn.
Yaqin YuEpidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin 130021, China. yuyq@jlu.edu.cn.
Yuchun TaoEpidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin 130021, China. taoyuchun@163.com.
Lina JinEpidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin 130021, China. jinln@jlu.edu.cn.
Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClustering of cardiovascular disease (CVD) risk factors constitutes a major public health challenge. Although a number of researchers have investigated the CVD risk factor clusters in China, little is known about the related prevalence and clustering associated with demographics in Jilin Province in China; this study aims to reveal that relationship.

methodsA cross-sectional survey based on a sample of 16,834 adults aged 18 to 79 years was conducted in Jilin in 2012. The prevalence and clustering of CVD risk factors were analysed through complex weighted computation. Quantitative variables were compared by the t test, and categorical variables were compared by the Rao-Scott-χ² test. Finally, multivariable logistic regression analysis was used to evaluate the CVD risk factor clusters associated with demographics.

resultsThe prevalences of hypertension, diabetes, dyslipidemia, overweight and smoking were 37.3%, 8.2%, 36.8%, 47.3%, and 31.0%, respectively, and these risk factors were associated with gender, education level, age, occupation and family income (p < 0.05). Overall, compared with females, the adjusted ORs of ≥1, ≥2 and ≥3 risk factors clusters in males were 3.70 (95%CI 3.26 to 4.20), 4.66 (95%CI 4.09 to 5.31), and 5.76 (95%CI 5.01 to 6.63), respectively. In particular, the adjusted ORs of ≥1, ≥2 and ≥3 risk factors increased with age.

conclusionsCVD risk factor clusters are common among adults in northeast China, and they constitute a major public health challenge. More effective attention and interventions should be directed toward the elderly and toward persons with lower incomes and low levels of education.

Indexed as

AdolescentAdultAgedCardiovascular DiseasesChinaCluster AnalysisCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMiddle AgedPrevalenceRisk FactorsYoung Adultcardiovascular diseasesclusteringprevalencerisk factors

Identifiers

PMID26703706
PMCPMC4730461
OpenAlexW2207784312

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.