Evidence map›Paper›PMID 38680877›Full record

ArticleJournal of multidisciplinary healthcare2024

The Association Between Obesity Measures and Metabolic Syndrome Risk in Korean Adolescents Aged 10-18 Years.

Munku Song, Seamon Kang, Hyunsik Kang

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Munku SongCollege of Sport Science, Sungkyunkwan University, Suwon, South Korea.
Seamon KangCollege of Sport Science, Sungkyunkwan University, Suwon, South Korea.
Hyunsik KangCollege of Sport Science, Sungkyunkwan University, Suwon, South Korea.ORCID 0000-0002-8611-1873

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Childhood obesity is strongly linked to an increased risk of metabolic syndrome (MetS), type 2 diabetes, and cardiovascular disease in adulthood, endangering the global healthcare system. No single tool for detecting MetS is suitable for all pediatric populations. This study aimed to investigate the association between obesity measures and MetS in Korean children and adolescents. Method and Materials: The data were obtained from 1663 children and adolescents aged 10-19 years (771 girls) who participated in the Fourth and Fifth Korea National Health and Nutrition Examination Surveys. Body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHtR) were included as obesity measures. Fasting blood glucose, triglycerides, high-density lipoprotein cholesterol, and resting blood pressure were included as metabolic risk factors. MetS was defined as the clustering of metabolic risk factors such as elevated fasting blood glucose, elevated mean arterial pressure, elevated triglycerides, and low high-density lipoprotein cholesterol. Results: Regardless of the obesity measures used, obese children and adolescents were more likely to have a clustering of metabolic risk factors compared to their non-obese counterparts: BMI-based obesity (odds ratio, OR=4.151, 95% confidence interval, CI=2.763~6.238, Conclusion and Recommendation: Study findings suggest that obese teenagers are more likely to have metabolic syndrome than non-obese teens. Concerning accuracy, convenience, and ease of use and calculation, BMI is the best screening tool for detecting MetS in Korean children and adolescents.

Indexed as

adolescencemetabolic syndromeobesitypediatricsrisk factors

Identifiers

PMID38680877
PMCPMC11048366

What Socratic 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 Socratic graph.