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Association of behavior pattern with overweight and obesity in South Korean adults–A multi correspondence analysis (KNHANES-2018–2020)
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-d...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10506704/ https://www.ncbi.nlm.nih.gov/pubmed/37721930 http://dx.doi.org/10.1371/journal.pgph.0002384 |
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author | Kim, Do Hee Rajaguru, Vasuki Kim, Bomgyeol Jang, Suk-Yong Shin, Jaeyong Lee, Sang Gyu Kim, Tae Hyun |
author_facet | Kim, Do Hee Rajaguru, Vasuki Kim, Bomgyeol Jang, Suk-Yong Shin, Jaeyong Lee, Sang Gyu Kim, Tae Hyun |
author_sort | Kim, Do Hee |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10506704 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-105067042023-09-19 Association of behavior pattern with overweight and obesity in South Korean adults–A multi correspondence analysis (KNHANES-2018–2020) Kim, Do Hee Rajaguru, Vasuki Kim, Bomgyeol Jang, Suk-Yong Shin, Jaeyong Lee, Sang Gyu Kim, Tae Hyun PLOS Glob Public Health Research Article 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. Public Library of Science 2023-09-18 /pmc/articles/PMC10506704/ /pubmed/37721930 http://dx.doi.org/10.1371/journal.pgph.0002384 Text en © 2023 Kim et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Kim, Do Hee Rajaguru, Vasuki Kim, Bomgyeol Jang, Suk-Yong Shin, Jaeyong Lee, Sang Gyu Kim, Tae Hyun Association of behavior pattern with overweight and obesity in South Korean adults–A multi correspondence analysis (KNHANES-2018–2020) |
title | Association of behavior pattern with overweight and obesity in South Korean adults–A multi correspondence analysis (KNHANES-2018–2020) |
title_full | Association of behavior pattern with overweight and obesity in South Korean adults–A multi correspondence analysis (KNHANES-2018–2020) |
title_fullStr | Association of behavior pattern with overweight and obesity in South Korean adults–A multi correspondence analysis (KNHANES-2018–2020) |
title_full_unstemmed | Association of behavior pattern with overweight and obesity in South Korean adults–A multi correspondence analysis (KNHANES-2018–2020) |
title_short | Association of behavior pattern with overweight and obesity in South Korean adults–A multi correspondence analysis (KNHANES-2018–2020) |
title_sort | association of behavior pattern with overweight and obesity in south korean adults–a multi correspondence analysis (knhanes-2018–2020) |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10506704/ https://www.ncbi.nlm.nih.gov/pubmed/37721930 http://dx.doi.org/10.1371/journal.pgph.0002384 |
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