Evidence map›Paper›PMID 27039079›Full record

SynthesisBMC public health2016

Prevalence of metabolic syndrome in Mainland China: a meta-analysis of published studies.

Ri Li, Wenchen Li, Zhijun Lun, Huiping Zhang, Zhi Sun, Joseph Sam Kanu, Shuang Qiu, Yi Cheng, Yawen Liu

Abstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 213 papers, 16 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
213citing papers in PubMed, 16 pooled it
–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

213 citing papers in PubMed, 16 syntheses or guidelines pooled it.

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153 more citing papers are in PubMed but not listed here.

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

9 authors.

Ri LiDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun City, Jilin Province, China.
Wenchen LiDepartment of Neurotrauma, First Hospital of Jilin University, Changchun City, Jilin Province, China.
Zhijun LunDepartment of Library, First Hospital of Jilin University, Changchun City, Jilin Province, China.
Huiping ZhangDepartment of Psychiatry, VA Medical Center, Yale University School of Medicine, West Haven, USA.
Zhi SunClinical Laboratory of China-Japan Union Hospital of Jilin University, Changchun City, Jilin Province, China.
Joseph Sam KanuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun City, Jilin Province, China.
Shuang QiuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun City, Jilin Province, China.
Yi ChengDepartment of Cardiovascular Center, First Hospital of Jilin University, Changchun City, Jilin Province, China.
Yawen LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun City, Jilin Province, China. ywliu@jlu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic syndrome (MS) comprises a set of conditions that are risk factors for cardiovascular diseases and diabetes. Numerous epidemiological studies on MS have been conducted, but there has not been a systematic analysis of the prevalence of MS in the Chinese population. Therefore, the aim of this study was to estimate the pooled prevalence of MS among subjects in Mainland China.

methodsWe performed a systematic review by searching both English and Chinese literature databases. Random or fixed effects models were used to summarize the prevalence of MS according to statistical tests for heterogeneity. Subgroup, sensitivity, and meta-regression analyses were performed to address heterogeneity. Publication bias was evaluated using Egger's test.

resultsThirty-five papers were included in the meta-analysis, with a total population of 226,653 Chinese subjects. Among subjects aged 15 years and older, the pooled prevalence was 24.5% (95% CI: 22.0-26.9%). By sex, the prevalences were 19.2% (95% CI: 16.9-21.6%) in males and 27.0% (95% CI: 23.5-30.5%) in females. The pooled prevalence of MS increased with age (15-39 years: 13.9%; 40-59 years: 26.4%; and 60 years: 32.4%). Individuals living in urban areas (24.9%, 95% CI: 18.5-31.3%) were more likely to suffer from MS than those living in rural areas (19.2%, 95% CI: 14.8-23.7%). Hypertension was the most prevalent component of MS in males (52.8%), while the most prevalent component of MS for females was central obesity (46.1%).

conclusionsOur systematic review suggested a high prevalence of MS among subjects in Mainland China, indicating that MS is a serious public health problem. Therefore, more attention should be paid to the prevention and control of MS.

Indexed as

Age DistributionChinaHumansMetabolic SyndromePrevalenceRisk FactorsSex DistributionMeta-analysisMetabolic syndrome XPrevalence

Identifiers

PMID27039079
PMCPMC4818385

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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.