Evidence map›Paper›PMID 34575001›Full record

ArticleHealthcare (Basel, Switzerland)2021

Prevalence and Clustering of Cardiovascular Risk Factors among Medical Staff in Northeast China.

Jianxing Yu, Huanhuan Jia, Zhou Zheng, Peng Cao, Xihe Yu

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2021. 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
0.8field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

5 authors at 1 institution in 1 country.

Jianxing YuSocial Medicine and Health Service Management, School of Public Health, Jilin University, Changchun 130021, China.
Huanhuan JiaSocial Medicine and Health Service Management, School of Public Health, Jilin University, Changchun 130021, China.
Zhou ZhengSocial Medicine and Health Service Management, School of Public Health, Jilin University, Changchun 130021, China.
Peng CaoSocial Medicine and Health Service Management, School of Public Health, Jilin University, Changchun 130021, China.
Xihe YuSocial Medicine and Health Service Management, School of Public Health, Jilin University, Changchun 130021, China.
Jilin University · CN

Funding

Ministry of Education in China No.18YJAZH118
6 · The paper itself

Abstract

backgroundThe clustering of cardiovascular disease (CVD) risk factors has become a major public health challenge worldwide. Although many studies have investigated CVD risk factor clusters, little is known about their prevalence and clustering among medical staff in Northeast China. This study aimed to estimate the prevalence and clustering of CVD risk factors and to investigate the association between relevant characteristics and the clustering of CVD risk factors among medical staff in Northeast China.

methodsA cross-sectional survey of 3720 medical staff from 93 public hospitals in Jilin Province was used in this study. Categorical variables were presented as percentages and were compared using the

resultsThe prevalence of hypertension, diabetes, dyslipidemia, being overweight, smoking, and drinking were 10.54%, 3.79%, 17.15%, 39.84%, 9.87%, and 21.75%, respectively. Working in a general hospital, male, and age group 18-44 years were more likely to have 1, 2, and ≥3 CVD risk factors, compared with their counterparts. In particular, compared with being a doctor, being a nurse or medical technician was less likely to have 1, 2, and ≥3 CVD risk factors only in general hospitals.

conclusionsThe findings suggest that medical staff of general hospitals, males, and older individuals have a high chance associated with CVD risk factor clustering and that more effective interventions should be undertaken to reduce the prevalence and clustering of CVD risk factors, especially among older male doctors who work in general hospitals.

Indexed as

cardiovascular diseasesclusteringmedical staffprevalencerisk factors

Identifiers

PMID34575001
PMCPMC8467224
OpenAlexW3200468727

What OpenQuestion holds

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LicenceCC BY
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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.