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Factors associated with health-related quality of life in Korean older workers

OBJECTIVES: The prevalence of aged individuals in the Korean workforce continues to increase. This research determined the health and working conditions of Korean older wage workers and confirmed the effects of factors on the health-related quality of life of Korean older workers. METHODS: Of the 25...

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Autores principales: Hong, Sujin, Jeong, Harin, Heo, Yunjeong, Chun, Hosun, Park, Jongtae, Kim, Daeseong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4663739/
https://www.ncbi.nlm.nih.gov/pubmed/26623075
http://dx.doi.org/10.1186/s40557-015-0077-9
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author Hong, Sujin
Jeong, Harin
Heo, Yunjeong
Chun, Hosun
Park, Jongtae
Kim, Daeseong
author_facet Hong, Sujin
Jeong, Harin
Heo, Yunjeong
Chun, Hosun
Park, Jongtae
Kim, Daeseong
author_sort Hong, Sujin
collection PubMed
description OBJECTIVES: The prevalence of aged individuals in the Korean workforce continues to increase. This research determined the health and working conditions of Korean older wage workers and confirmed the effects of factors on the health-related quality of life of Korean older workers. METHODS: Of the 25,534 persons surveyed in the fifth Korea National Health and Nutrition Examination Survey, 1368 older (>55 years of age) wage workers without missing variables were selected. Their general characteristics, health status (cardiovascular disease, musculoskeletal disease, and mental health), working conditions (type of occupation, employment status, full- or part-time work, weekly average working hours, and shift work), and health-related quality of life assessed by the EQ-5D questionnaire were examined. RESULTS: The mean values of the EQ-5D index of the male and female older workers were 0.956 ± 0.087 and 0.917 ± 0.124, respectively (p < 0.001). The factors that caused statistically significant differences in the EQ-5D index for all subjects were age, education, household income, cerebro-cardiovascular event, osteoarthritis, musculoskeletal pain, stress, occupation type, employment status, and working hours. In logistic regression analysis, the factors that associated with perceived problems in each EQ-5D dimensions were age, musculoskeletal pain, stress, diabetes, smoking, occupation type, employment status, and working hours. CONCLUSIONS: To eventually raise the quality of life of older workers through health maintenance and management, it is necessary to manage related factors that include of musculoskeletal pain and diseases, stress, diabetes, smoking, occupation, employment status, and working hours.
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spelling pubmed-46637392015-12-01 Factors associated with health-related quality of life in Korean older workers Hong, Sujin Jeong, Harin Heo, Yunjeong Chun, Hosun Park, Jongtae Kim, Daeseong Ann Occup Environ Med Research Article OBJECTIVES: The prevalence of aged individuals in the Korean workforce continues to increase. This research determined the health and working conditions of Korean older wage workers and confirmed the effects of factors on the health-related quality of life of Korean older workers. METHODS: Of the 25,534 persons surveyed in the fifth Korea National Health and Nutrition Examination Survey, 1368 older (>55 years of age) wage workers without missing variables were selected. Their general characteristics, health status (cardiovascular disease, musculoskeletal disease, and mental health), working conditions (type of occupation, employment status, full- or part-time work, weekly average working hours, and shift work), and health-related quality of life assessed by the EQ-5D questionnaire were examined. RESULTS: The mean values of the EQ-5D index of the male and female older workers were 0.956 ± 0.087 and 0.917 ± 0.124, respectively (p < 0.001). The factors that caused statistically significant differences in the EQ-5D index for all subjects were age, education, household income, cerebro-cardiovascular event, osteoarthritis, musculoskeletal pain, stress, occupation type, employment status, and working hours. In logistic regression analysis, the factors that associated with perceived problems in each EQ-5D dimensions were age, musculoskeletal pain, stress, diabetes, smoking, occupation type, employment status, and working hours. CONCLUSIONS: To eventually raise the quality of life of older workers through health maintenance and management, it is necessary to manage related factors that include of musculoskeletal pain and diseases, stress, diabetes, smoking, occupation, employment status, and working hours. BioMed Central 2015-11-30 /pmc/articles/PMC4663739/ /pubmed/26623075 http://dx.doi.org/10.1186/s40557-015-0077-9 Text en © Hong et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Hong, Sujin
Jeong, Harin
Heo, Yunjeong
Chun, Hosun
Park, Jongtae
Kim, Daeseong
Factors associated with health-related quality of life in Korean older workers
title Factors associated with health-related quality of life in Korean older workers
title_full Factors associated with health-related quality of life in Korean older workers
title_fullStr Factors associated with health-related quality of life in Korean older workers
title_full_unstemmed Factors associated with health-related quality of life in Korean older workers
title_short Factors associated with health-related quality of life in Korean older workers
title_sort factors associated with health-related quality of life in korean older workers
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4663739/
https://www.ncbi.nlm.nih.gov/pubmed/26623075
http://dx.doi.org/10.1186/s40557-015-0077-9
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