Evidence map›Paper›PMID 35919823›Full record

ArticleChina CDC weekly2022

Prevalence of Metabolic Syndrome and Risk Factors Among Chinese Adults: Results from a Population-Based Study - Beijing, China, 2017-2018.

Jufen Liu, Qingping Liu, Zhiwen Li, Jing Du, Chao Wang, Yanlin Gao, Zaihua Wei, Jing Wang, Yunping Shi, Jianting Su and 6 more

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in China CDC weekly, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06543706 (Metabolic Syndrome and Its Related Diseases in Healthcare Workers), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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.

NCT06543706 completednot on this map

Metabolic Syndrome and Its Related Diseases in Healthcare Workers: Incidence, Prevalence, and Risk Factors

TypeobservationalSponsorPeking Union Medical College HospitalRan2022 to 2023Enrolled7,432ConditionsMetabolic Syndrome X, Diabetes Mellitus Type 2, Hypertension, Hyperlipidemia
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 8 citations in OpenAlex.

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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

16 authors at 2 institutions in 1 country.

Jufen LiuInstitute of Reproductive and Child Health / Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Peking University, Beijing, China.
Qingping LiuDepartment of Information and Statistics, Beijing Center for Disease Prevention and Control, Beijing, China.
Zhiwen LiInstitute of Reproductive and Child Health / Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Peking University, Beijing, China.
Jing DuDepartment of Information and Statistics, Beijing Center for Disease Prevention and Control, Beijing, China.
Chao WangDepartment of Information and Statistics, Beijing Center for Disease Prevention and Control, Beijing, China.
Yanlin GaoDepartment of Information and Statistics, Beijing Center for Disease Prevention and Control, Beijing, China.
Zaihua WeiDepartment of Information and Statistics, Beijing Center for Disease Prevention and Control, Beijing, China.
Jing WangDepartment of Information and Statistics, Beijing Center for Disease Prevention and Control, Beijing, China.
Yunping ShiDepartment of Information and Statistics, Beijing Center for Disease Prevention and Control, Beijing, China.
Jianting SuDepartment of Information and Statistics, Beijing Center for Disease Prevention and Control, Beijing, China.
Yang LiuDepartment of Information and Statistics, Beijing Center for Disease Prevention and Control, Beijing, China.
Ping WangDepartment of Information and Statistics, Beijing Center for Disease Prevention and Control, Beijing, China.
Chunyan XieDepartment of Information and Statistics, Beijing Center for Disease Prevention and Control, Beijing, China.
Gang LiDepartment of Information and Statistics, Beijing Center for Disease Prevention and Control, Beijing, China.
Bing ShaoBeijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning, Beijing Center for Disease Prevention and Control, Beijing, China.
Le ZhangInstitute of Reproductive and Child Health / Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Peking University, Beijing, China.
Beijing Center for Disease Prevention and Control · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: Metabolic syndrome (MetS) is one of the most easily available health indicative markers for cardiovascular diseases, and it has become a major public health problem worldwide due to increasing urbanization and aging populations. The prevalence of MetS increased dramatically in China, however, there are no records of MetS defined by the 2017 Chinese Diabetes Society for Beijing by far. What is added by this report?: In this study, the data of 24,412 participants aged 18-74 years from a large population-based study in Beijing was collected. The overall prevalence of MetS among Beijing residents was 24.5%. The prevalence was 35.2% in males and 15.4% in females. What are the implications for public health practice?: Effective public health strategies should target males, people with older age, lower education, higher body mass index, smokers, those who drink alcohol, those who are unemployed or retired, and those who live in rural areas on MetS prevention and control.

Indexed as

insulin resistancemetabolic syndromesmoke

Identifiers

PMID35919823
PMCPMC9339350
OpenAlexW4289786664

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

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.