Evidence map›Paper›PMID 32066855›Full record

ArticleScientific reports2020

Associations of unhealthy lifestyles with metabolic syndrome in Chinese rural aged females.

Yuming Wang, Runqi Tu, Huijuan Yuan, Lijun Shen, Jian Hou, Xiaotian Liu, Miaomiao Niu, Zhihan Zhai, Mingming Pan, Chongjian Wang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
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

10 authors at 1 institution in 1 country.

Yuming Wang *Henan Provincial People's Hospital, Zhengzhou, Henan, P.R. China.
Runqi Tu *Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, P.R. China.
Huijuan YuanHenan Provincial People's Hospital, Zhengzhou, Henan, P.R. China.
Lijun ShenHenan Provincial People's Hospital, Zhengzhou, Henan, P.R. China.
Jian HouDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, P.R. China.
Xiaotian LiuDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, P.R. China.
Miaomiao NiuDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, P.R. China.
Zhihan ZhaiDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, P.R. China.
Mingming PanDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, P.R. China.
Chongjian WangDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, P.R. China. tjwcj2005@126.com.ORCID http://orcid.org/0000-0001-5091-6621
Zhengzhou University · CN

Funding

National Natural Science Foundation of China (National Science Foundation of China) 81573243National Natural Science Foundation of China (National Science Foundation of China) 81602925
6 · The paper itself

Abstract

The purpose of this study is to update the prevalence of metabolic syndrome (MetS) and explore to identify the susceptible populations. A total of 38208 subjects aged 18 to 79 years were obtained from the Henan Rural Cohort Study (n = 39259). Five criteria (ATP β, IDF, JIS, CDS, EGIR) were used to estimate the prevalence of MetS. Multivariate logistic regression analysis was used to assess odds ratios (ORs) and 95% confidence interval (CI) of potential risk factors with MetS. The age-standardized prevalence of MetS were 27.87%, 24.63%, 27.40%, 18.00% and 8.91% according to the standard of ATP β, IDF, JIS, CDS, and EGIR, respectively. After adjusted for the potential confounding factors, aging, females, physical activity and the state of drinking were independent risk factors of MetS. MetS is positively associated with stroke and coronary heart disease in all five criteria (P < 0.01). The current data identify a high prevalence of MetS among Chinese rural adults. Especially for aged females with unhealthy lifestyle had a higher risk for MetS.

Indexed as

Life StyleAdolescentAdultAgedAlcohol DrinkingChinaCigarette SmokingCohort StudiesCoronary DiseaseDiet, High-FatExerciseFemaleHumansLogistic ModelsMetabolic SyndromeMiddle Aged

Identifiers

PMID32066855
PMCPMC7026414
OpenAlexW3006375808

What OpenQuestion holds

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LicenceCC BY
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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.