Evidence map›Paper›PMID 31491867›Full record

ArticleInternational journal of environmental research and public health2019

Metabolic Unhealthiness Increases the Likelihood of Having Metabolic Syndrome Components in Normoweight Young Adults.

Bagas Suryo Bintoro, Yen-Chun Fan, Chia-Chi Chou, Kuo-Liong Chien, Chyi-Huey Bai

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Association Between Fatty Liver Index, Controlled Attenuation Parameter, and Metabolic Syndrome Stages: A Community-Based Study.Medical science monitor : international medical journal of experimental and clinical research · 2023
    Article
  3. Article
  4. Revisiting the Global Overfat Pandemic.Frontiers in public health · 2020
    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

5 authors.

Bagas Suryo BintoroInternational Master/Ph.D. Program in Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan. bagassuryobintoro@gmail.com.
Yen-Chun FanSchool of Public Health, College of Public Health, Taipei Medical University, Taipei 11031, Taiwan. elvics@gmail.com.
Chia-Chi ChouDepartment of Internal Medicine, Keelung Chang Gung Memorial Hospital, Keelung 20401, Taiwan. ccchoumd@ms68.hinet.net.
Kuo-Liong ChienInstitute of Preventive Medicine, College of Public Health, National Taiwan University, Taipei 11031, Taiwan. klchien@ntu.edu.tw.
Chyi-Huey BaiInternational Master/Ph.D. Program in Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan. baich@tmu.edu.tw.ORCID 0000-0002-4658-1088

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Findings on risk detection for having metabolic syndrome (MetS) components, each of which may individually increase the risk of disease and mortality, are limited in young adults. In this study, we aimed to calculate the likelihood of having ≥1 MetS component in normoweight young adults using two different metabolic health criteria. We recruited 1182 normoweight young adults from the Taiwan Survey on the Prevalence of Hypertension, Hyperglycemia, and Hyperlipidemia and the National Health Interview Survey (aged 16-45 years, 39% male, body mass index = 18.5-22.99, all without MetS) and followed them for 5 years. Metabolic health criteria were derived from the Harmonized criteria (unhealthy if showing abnormality in one or two MetS components) and the triglyceride-glucose index (TyG-i; unhealthy if TyG-i was in the >75th percentile). Odds ratio (OR) and 95% confidence interval (CI) estimations for having ≥1 MetS component and for having each MetS component in 5 years were assessed using multivariable-adjusted logistic regression. We observed a significantly increased likelihood of the presence of ≥1 MetS component in the unhealthy group by using the Harmonized criteria and TyG-i (adjusted OR (aOR); 95%CI: 2.67; 2.04-3.49 and 2.1; 1.57-2.82, respectively). The areas under the receiver-operating characteristics curves were 0.679 and 0.652 for the final models using Harmonized and TyG-i criteria, respectively. These findings support the recommendation of treating any metabolic component abnormality, even in young adults without a MetS diagnosis.

Indexed as

Body Mass IndexAdolescentAdultFemaleHumansLikelihood FunctionsMaleMetabolic SyndromeTaiwanYoung Adultcardiovascular disease preventioncohortinsulin resistancemetabolic healthmetabolic syndromenational surveyyoung adult

Identifiers

PMID31491867
PMCPMC6765795

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.