Evidence map›Paper›PMID 33276457›Full record

ArticleInternational journal of environmental research and public health2020

The Association between Metabolic Syndrome and Related Factors among the Community-Dwelling Indigenous Population in Taiwan.

Yu-Chung Tsao, Wen-Cheng Li, Wei-Chung Yeh, Steve Wen-Neng Ueng, Sherry Yueh-Hsia Chiu, Jau-Yuan Chen

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06271200 (Effects of Intensive Lifestyle Interventions), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.0field-weighted citation impact, top 12% 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.

NCT06271200 narecruitingnot on this mapstarted 2024, after this paper: background citation

Effects of Intensive Lifestyle Interventions (ILI) on Weight Loss and Cardiometabolic Risks in Obese Adults With Metabolic Syndrome: A Randomized Clinical Trial

TypeinterventionalSponsorNational Health Research Institutes, TaiwanRan2024 to 2027Enrolled200ConditionsMetabolic SyndromeArmsStrategic lifestyle and drug interventions, Control
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Toward Public Health Wellness: Psychosocial & Physical Health in the Community.International journal of environmental research and public health · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Metabolic Syndrome and Its Related Factors among Hospital Employees: A Population-Based Cohort Study.International journal of environmental research and public health · 2021
    Article
  9. Association of Age and Sex with Metabolic Syndrome in Taiwanese Adults.International journal of general medicine · 2021
    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

6 authors at 2 institutions in 2 countries.

Yu-Chung TsaoDepartment of Occupational Medicine, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan City 33305, Taiwan.ORCID 0000-0001-7355-5208
Wen-Cheng LiCollege of Medicine, Chang Gung University, Taoyuan City 33302, Taiwan.
Wei-Chung YehDepartment of Family Medicine, Chang-Gung Memorial Hospital, Linkou Branch, Taoyuan City 33305, Taiwan.
Steve Wen-Neng UengCollege of Medicine, Chang Gung University, Taoyuan City 33302, Taiwan.
Sherry Yueh-Hsia ChiuDepartment of Health Care Management, College of Management, Chang Gung University, Taoyuan City 33302, Taiwan.ORCID 0000-0002-7207-7088
Jau-Yuan ChenCollege of Medicine, Chang Gung University, Taoyuan City 33302, Taiwan.ORCID 0000-0001-9195-7833
Chang Gung University · TWChang Gung Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to conduct a community-based study with a view to construct a detailed analysis about metabolic syndrome and the related risk factors of the indigenous population. This was an observational, population-based and cross-sectional study that was conducted in remote villages of an indigenous community in northern Taiwan between 2010 and 2013. A total of 586 participants, 275 men and 311 women, were eligible for analysis. The participants underwent a questionnaire survey that included demographic and health behavior issues. An anthropometric assessment and measurements of blood pressure were carried out including serum biochemical variables. Metabolic syndrome (MetS) was defined by following the criteria provided by the modified Adult Treatment Panel III (ATP III) criteria of the National Cholesterol Education Program (NCEP). Univariate and multiple logistic regressions were used to identify the risk factors for metabolic syndrome. The standardized prevalence rates of substance use (cigarette smoking, alcohol drinking and betel nut chewing) were significantly higher than the general population regardless of whether it was northern, central or southern Taiwan and this was especially the case with betel nut chewing in women. The prevalence rate of metabolic syndrome was 42.9% in the indigenous population with 41.3% in men and 44.4% in women, which was higher than for urban Taiwanese. In the multiple logistic regression models, we found that the significant associated factors for metabolic syndrome were older age, lower education level, high levels of uric acid, alanine transaminase (ALT), gamma-glutamyl transferase (γ-GT) and creatinine. A higher prevalence rate of metabolic syndrome and substance use were observed in the indigenous population compared with urban Taiwanese, especially in women.

Indexed as

AdultAgedArecaCross-Sectional StudiesFemaleHumansIndependent LivingIndigenous PeoplesInfantMaleMetabolic SyndromePrevalenceRisk FactorsTaiwanmetabolic syndromerural healthsubstance usage indigenous people

Identifiers

PMID33276457
PMCPMC7730304
OpenAlexW3107499512

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.