Evidence map›Paper›PMID 32000739›Full record

ArticleBMC public health2020

Prevalence and associated factors of metabolic syndrome in adults: a population-based epidemiological survey in Jiangxi province, China.

Li Ting Wu, Yun Feng Shen, Lei Hu, Mei Ying Zhang, Xiao Yang Lai

Abstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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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

15 citing papers in PubMed.

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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.

Li Ting WuDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, No.1, Minde Road, Donghu District, Nanchang, 330006, China.ORCID http://orcid.org/0000-0001-7813-7072
Yun Feng ShenDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, No.1, Minde Road, Donghu District, Nanchang, 330006, China.
Lei HuDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, No.1, Minde Road, Donghu District, Nanchang, 330006, China.
Mei Ying ZhangDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, No.1, Minde Road, Donghu District, Nanchang, 330006, China.
Xiao Yang LaiDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, No.1, Minde Road, Donghu District, Nanchang, 330006, China. 1640852510@qq.com.

Funding

the Clinical Research Fund of Chinese Medical Association 15010010589the Research Fund for Public Welfare, the National Health and Family Planning Commission of China 201402005
6 · The paper itself

Abstract

backgroundMetabolic syndrome (MS) has abruptly increased in China in the past two decades, gradually representing an important public health threat over the years. Here, we firstly reported the prevalence and associated factors of metabolic syndrome in Jiangxi province, China.

methodsA population-based cross-sectional survey was performed in Jiangxi province, China, from April to August 2015. MS was diagnosed by International Diabetes Federation (IDF) and Chinese Diabetes Society (CDS) criteria, respectively. Factors associated with MS were investigated by multivariate logistic regression.

resultsA total of 2665 residents aged over 18 years were enrolled, and 2580 effectively participated. According to IDF and CDS criteria, age-standardized prevalence of MS were 21.1 and 15.2% in all participants, respectively; prevalence were 19.6% or 17.1% in men, and 22.7% or 13.0% in women, based on these respective criteria. Rural participants had a significantly higher prevalence than urban individuals, so did rural females. Prevalence in males did not differ between rural and urban participants. Factors independently associated with MS were low education level and menopausal state.

conclusionsTo the best of our knowledge, this was the latest study on MS prevalence in Jiangxi province. In conclusion, MS prevalence is high in Jiangxi province. Considering the unhealthy lifestyle, education is urgently needed to prevent the rapid increase of MS prevalence.

Indexed as

AdolescentAdultAgedChinaCross-Sectional StudiesFemaleHumansMaleMetabolic SyndromeMiddle AgedPrevalenceRisk FactorsYoung AdultAssociated factorsMetabolic syndromePrevalence

Identifiers

PMID32000739
PMCPMC6993347

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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.