Evidence map›Paper›PMID 33335411›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2020

Prevalence and Correlation of Metabolic Syndrome: A Cross-Sectional Study of Nearly 10 Million Multi-Ethnic Chinese Adults.

Yinxia Su, Yaoqin Lu, Wenli Li, Mingyue Xue, Chen Chen, Muyaseer Haireti, Yuanyuan Li, Zhenhui Liu, Yanshi Liu, Shuxia Wang and 1 more

Abstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

11 authors.

Yinxia Su *School of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, People's Republic of China.
Yaoqin Lu *School of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, People's Republic of China.ORCID 0000-0001-8317-0571
Wenli Li *School of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, People's Republic of China.
Mingyue XueHealth Management Institute, Xinjiang Medical University, Urumqi, Xinjiang, People's Republic of China.
Chen ChenSchool of Biomedical Sciences, University of Queensland, Brisbane 4072, Australia.ORCID 0000-0003-2104-534X
Muyaseer HairetiSchool of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, People's Republic of China.
Yuanyuan LiSchool of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, People's Republic of China.
Zhenhui LiuDepartment of Microrepair and Reconstruction, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People's Republic of China.
Yanshi LiuDepartment of Microrepair and Reconstruction, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People's Republic of China.
Shuxia WangHealth Management Institute, Xinjiang Medical University, Urumqi, Xinjiang, People's Republic of China.
Hua YaoHealth Management Institute, Xinjiang Medical University, Urumqi, Xinjiang, People's Republic of China.ORCID 0000-0002-9572-5578

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to examine the prevalence and correlates of metabolic syndrome (MetS) in multi-ethnic populations of Northwest China based on Large-scale provincial health checking data. PATIENTS AND

methodsA total of 9,745,640 Chinese aged ≥18 years in Xinjiang, the largest autonomous region of multi-ethnic in China, were enrolled from Feb. to Sep. 2019. MetS was defined by modified Adult Treatment Panel (ATP III) criteria.

resultsThe overall prevalence of MetS was 20.85% [Sex: 20.06% female, 21.56% male; Age: 39.22% 60-years and above, 26.32% 40- to 59-years and 9.56% 18- to 39-years; Ethnicity: 28.19% Hui followed by Han (26.39%), Uyghur (18.56%), Other (18.61%), Kazak (17.98%), Mongolian (17.87%), Kyrgyz (14.44%)]. People living in cities and towns (23.03%) or North (24.78%) had higher prevalence of MetS than rural (19.94%) and South (17.66%). Although the prevalence of hypertension, smoking, drinking and lack of physical activity were higher in Kyrgyz, Mongolian and Kazak than those of other ethnic groups, the risk of MetS was lower.

conclusionThe results indicated that a high prevalence of MetS in Hui and Han groups and people living in cities and towns. Living in North Xinjiang and elder population tend to have higher prevalence of MetS. The prevention and management of MetS in these populations should be prioritized.

Indexed as

adultsChineseethnic groupsmetabolic syndrome; MetSprevalence

Identifiers

PMID33335411
PMCPMC7737555

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.