Evidence map›Paper›PMID 32871873›Full record

ArticleMedicine2020

Cross-sectional study of the prevalence and risk factors of metabolic syndrome in a rural population of the Qianjiang area.

Bing Ling, Li Zhao, Jixiu Yi

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 1 institution in 2 countries.

Bing LingDepartment of Endocrinology, Qianjiang Central Hospital of Chongqing, Chongqing, China.ORCID 0000-0002-2767-9821
Li Zhao
Jixiu Yi
Qianjiang Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of the metabolic syndrome (MS) is increasing in China, but there are disparities between urban and rural populations, and across different regions.To examine the prevalence and risk factors of MS in the rural area of Qianjiang (Southwest China).From March 2016 to June 2018, 6 townships in the Qianjiang District of Chongqing Municipality were selected for a cross-sectional study of the residents in rural areas. Demographics and medical history were collected using a questionnaire. Anthropometry and blood pressure were obtained by physical examination. Blood lipids, fasting plasma glucose, and 2-h postprandial glucose were measured.A total of 2949 (1067 males and 1882 females) were included. The mean age was 63.8 ± 10.7 years. The prevalence of MS in the study population was 16.8% (496/2949). The prevalence of MS was 7.4% in men, 22.2% in women, 15.7% in Han, 18.1% in Tujia, and 14.8% in Miao. According to age, the prevalence of MS was 10.6%, 17.0%, and 18.3% in the 30-50, 50-69, and ≥ 70 years groups. The multivariable analysis showed that female sex (OR = 33.36, 95%CI: 17.0-65.53), dyslipidemia (OR = 4.71, 95%CI: 1.73-12.82), kidney diseases (OR = 2.32, 95%CI: 1.37-3.94), waistline (OR = 1.39, 95%CI: 1.33-1.46), high-density lipoprotein cholesterol (OR = 0.12, 95%CI: 0.06-0.23), triglycerides (OR = 1.52, 95%CI: 1.31-1.76), alanine aminotransferase (OR = 0.98, 95%CI: 0.97-1.00), γ-glutamyltransferase (OR = 1.00, 95%CI: 1.00-1.01), and glycated hemoglobin (OR = 1.31, 95%CI: 1.08-1.59) were independently associated with MS.The prevalence of MS was 16.8% in Qianjiang. Female sex, kidney diseases, alanine aminotransferase, and γ-glutamyltransferase were independent risk factors for MS.

Indexed as

AgedAlanine TransaminaseAnthropometryBlood GlucoseBlood PressureChinaCholesterol, HDLCross-Sectional StudiesDyslipidemiasFastingFemalegamma-GlutamyltransferaseHumansKidney DiseasesLipidsMaleAlanine TransaminaseBlood GlucoseCholesterol, HDLgamma-GlutamyltransferaseLipidsTriglycerides

Identifiers

PMID32871873
PMCPMC7458173
OpenAlexW3080418457

What OpenQuestion holds

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LicenceCC BY-NC
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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.