Evidence map›Paper›PMID 35365515›Full record

ArticleBMJ open2022

Prevalence of metabolic syndrome among the adult population in western China and the association with socioeconomic and individual factors: four cross-sectional studies.

Xinyin Xu, Jing Zeng, Wei Yang, Ting Dong, Xin Zhang, Shuwen Cheng, Xiaobo Zhou, Maigeng Zhou, Ling Niu, Guanghui Yi and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
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  3. [Periodontitis and systemic diseases: Thinking and explorations].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2025
    Review
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  7. Cardiovascular Risk Factors in China.Journal of geriatric cardiology : JGC · 2024
    Article
  8. Article
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  10. Article
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

14 authors at 5 institutions in 3 countries.

Xinyin XuDepartment of Chronic and Non-communicable Disease Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan, China.ORCID 0000-0001-5474-3174
Jing ZengDepartment of Chronic and Non-communicable Disease Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan, China.
Wei YangDepartment of Global Health & Social Medicine, King's College London, London, UK.
Ting DongDepartment of Chronic and Non-communicable Disease Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan, China.
Xin ZhangDepartment of Chronic and Non-communicable Disease Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan, China.
Shuwen ChengDepartment of Chronic and Non-communicable Disease Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan, China.
Xiaobo ZhouSchool of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
Maigeng ZhouNational Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Ling NiuWest China School of Nursing, Department of Anesthesia and Operation Center, West China Hospital,Sichuan University, Chengdu, Sichuan, China.
Guanghui YiDepartment of Chronic and Non-communicable Disease Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan, China.
You LiDepartment of Chronic and Non-communicable Disease Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan, China.
Lishi ZhangDepartment of Nutrition and Food Safety, Sichuan University, Chengdu, Sichuan, China.
Yin DengDepartment of Chronic and Non-communicable Disease Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan, China wwwuxp@163.com 391115491@qq.com.
Xianping WuSichuan Center for Disease Control and Prevention, Chengdu, Sichuan, China wwwuxp@163.com 391115491@qq.com.
Sichuan Center for Disease Control and Prevention · CNSichuan University · CNKing's College London · GBNational Center for Chronic and Noncommunicable Disease Control and Prevention · CNThe University of Texas Health Science Center at Houston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study explored the prevalence of and individual influencing factors for metabolic syndrome (MS) as well as associated socioeconomic factors and regional aggregation.

designFour cross-sectional surveys were analysed for trends in MS and associations with socioeconomic and individual factors through multilevel logistic regression analyses. The risk associated with nutrient intake was also assessed through a dietary survey in 2015.

settingFrom 2010 to 2018, 8-15 counties/districts of West China were included.

participantsA total of 28 274 adults were included in the prevalence analysis. A total of 23 708 adults were used to analyse the related factors.

resultsThe overall prevalence of MS ranged from 21.4% to 27.8% over the 8 years, remaining basically stable within the 95% CI. Our study found that the urbanisation rate and hospital beds per 1000 people were positively associated with MS, and the number of doctors in healthcare institutions per 1000 persons was negatively associated with MS. The ORs for females, people with college education and higher and unmarried or single people were 1.49, 0.67 and 0.51, respectively (p<0.05). The ORs of people who smoked at least 20 cigarettes/day, ate more than 100 g of red meat/day, consumed fruit or vegetable juice and drank carbonated soft drinks less than weekly were 1.10, 1.16, 1.19-1.27 and 0.81-0.84, respectively. The ORs rose with increasing sedentary time and decreased with higher physical activity.

conclusionThe high burden of MS, unreasonable proportions of energy and micronutrient intake and low percentage of high levels of physical activity were the major challenges to public health in western China. Improving the human resources component of medical services, such as the number of doctors, increasing the availability of public sports facilities and E-health tools and improving individual dietary quality and education might help prevent MS.

Indexed as

Metabolic SyndromeAdultChinaCross-Sectional StudiesFemaleHumansPrevalenceSocioeconomic Factorsdiabetes & endocrinologyepidemiologyhealth policynutrition & dieteticsstatistics & research methods

Identifiers

PMID35365515
PMCPMC8977785
OpenAlexW4220888436

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.