Evidence map›Paper›PMID 37721930›Full record

ArticlePLOS global public health2023

Association of behavior pattern with overweight and obesity in South Korean adults-A multi correspondence analysis (KNHANES-2018-2020).

Do Hee Kim, Vasuki Rajaguru, Bomgyeol Kim, Suk-Yong Jang, Jaeyong Shin, Sang Gyu Lee, Tae Hyun Kim

Abstract read
In one paragraph

Article in PLOS global public health, 2023. 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

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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. Open reduction and internal fixation of complex C3 fractures of the distal humerus - mid-term outcome and risk-factor analysis.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026
    Article
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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

7 authors.

Do Hee KimDepartment of Public Health, Graduate School, Yonsei University, Seoul, South Korea.
Vasuki RajaguruDepartment of Healthcare Management, Graduate School of Public Health, Yonsei University, Seoul, South Korea.ORCID https://orcid.org/0000-0003-2519-2814
Bomgyeol KimDepartment of Public Health, Graduate School, Yonsei University, Seoul, South Korea.
Suk-Yong JangDepartment of Healthcare Management, Graduate School of Public Health, Yonsei University, Seoul, South Korea.
Jaeyong ShinDepartment of Preventive medicine, College of Medicine, Yonsei University, Seoul, South Korea.
Sang Gyu LeeDepartment of Preventive medicine, College of Medicine, Yonsei University, Seoul, South Korea.
Tae Hyun KimDepartment of Healthcare Management, Graduate School of Public Health, Yonsei University, Seoul, South Korea.ORCID https://orcid.org/0000-0003-1053-8958

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective was to determine the association between health-related behaviour with overweight and obesity in South Korean adults by using the Korean National Health and Nutritional Examination Survey (KNHANES) 2018-2020. The study participants were 16,784 aged ≥ 20years. The variables were socio-demographic, lifestyle, food habits and metabolic conditions. The logistic regression analysis performed to find the association by the odds ratio (OR, 95% CI). MCA performed to identify risk factors were computed for overweight and obesity. Overweight and obesity were significantly associated with health behaviour, high income (OR = 1.26; 95% CI: 1.15-1.39), smoking(OR = 1.29; 95% CI: 1.08-1.53), low physical activity(OR = 3.23; 95% CI: 1.79-4.69), diabetes(OR = 2.70; 95% CI: 1.62-4.50), high cholesterol and low HDL(OR = 3.98; 95%CI:2.65-5.97). The high discriminant variables of MCA were aged over 60years, lower education, high income, diabetes, lack of physical activity, and high cholesterol. The findings confirm that the OR of obesity and overweight was likely associated with health behaviour patterns. Besides, it indicates the MCA would be very effective to identify the population-based data context than individual data and it may suggest that more research on association between health behaviours and obesity prevention interventions should be developed for each age group for better health outcomes.

Identifiers

PMID37721930
PMCPMC10506704

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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.