Cargando…

Differences in Metabolic Syndrome Prevalence by Employment Type and Sex

Workers may sometimes do the same work, but differ in their risk of health-related problems depending on whether the employment type is standard or non-standard. Furthermore, even with similar job and employment types, there may be differences in risk factors for health-related problems depending on...

Descripción completa

Detalles Bibliográficos
Autores principales: Cho, Duk Youn, Koo, Jung-Wan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6165279/
https://www.ncbi.nlm.nih.gov/pubmed/30134584
http://dx.doi.org/10.3390/ijerph15091798
_version_ 1783359799459577856
author Cho, Duk Youn
Koo, Jung-Wan
author_facet Cho, Duk Youn
Koo, Jung-Wan
author_sort Cho, Duk Youn
collection PubMed
description Workers may sometimes do the same work, but differ in their risk of health-related problems depending on whether the employment type is standard or non-standard. Furthermore, even with similar job and employment types, there may be differences in risk factors for health-related problems depending on sex. This study aimed to determine the prevalence of metabolic syndrome (MetS) by employment type and sex using data from the Fifth Korean National Health and Nutrition Examination Survey (KNHANES Ⅴ) (2010–2012) and KNHANES Ⅵ (2013–2015) conducted by the Korea Centers for Disease Control and Prevention. Overall, 9523 adult wage workers (5523 standard workers and 4000 non-standard workers) aged ≥ 19 years were analyzed. To determine MetS prevalence odds ratios according to employment type, logistic regression analysis was performed disaggregated by sex. The prevalence of MetS significantly increased with age (p < 0.001), being married (p < 0.05), current smoking status (p < 0.05), and high-risk drinking (p < 0.001) among male subjects. The prevalence of MetS significantly increased among female manual workers (p < 0.001), those with lower educational level and household income (p < 0.001). Non-standard workers of either sex showed higher MetS prevalence than standard workers; only females showed significant difference (p < 0.001). Female non-standard workers showed 1.44, 1.33, and 1.34 (all p < 0.001) times higher odds of MetS prevalence in Models 1, 2, and 3, respectively, compared to standard workers, suggesting a difference in risk factors of MetS according to sex. Also, that employment type affects MetS prevalence suggests that employment pattern is an important risk factor especially in females. Therefore, to manage MetS in female non-standard workers, individual health care as well as social effort may be necessary.
format Online
Article
Text
id pubmed-6165279
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-61652792018-10-12 Differences in Metabolic Syndrome Prevalence by Employment Type and Sex Cho, Duk Youn Koo, Jung-Wan Int J Environ Res Public Health Article Workers may sometimes do the same work, but differ in their risk of health-related problems depending on whether the employment type is standard or non-standard. Furthermore, even with similar job and employment types, there may be differences in risk factors for health-related problems depending on sex. This study aimed to determine the prevalence of metabolic syndrome (MetS) by employment type and sex using data from the Fifth Korean National Health and Nutrition Examination Survey (KNHANES Ⅴ) (2010–2012) and KNHANES Ⅵ (2013–2015) conducted by the Korea Centers for Disease Control and Prevention. Overall, 9523 adult wage workers (5523 standard workers and 4000 non-standard workers) aged ≥ 19 years were analyzed. To determine MetS prevalence odds ratios according to employment type, logistic regression analysis was performed disaggregated by sex. The prevalence of MetS significantly increased with age (p < 0.001), being married (p < 0.05), current smoking status (p < 0.05), and high-risk drinking (p < 0.001) among male subjects. The prevalence of MetS significantly increased among female manual workers (p < 0.001), those with lower educational level and household income (p < 0.001). Non-standard workers of either sex showed higher MetS prevalence than standard workers; only females showed significant difference (p < 0.001). Female non-standard workers showed 1.44, 1.33, and 1.34 (all p < 0.001) times higher odds of MetS prevalence in Models 1, 2, and 3, respectively, compared to standard workers, suggesting a difference in risk factors of MetS according to sex. Also, that employment type affects MetS prevalence suggests that employment pattern is an important risk factor especially in females. Therefore, to manage MetS in female non-standard workers, individual health care as well as social effort may be necessary. MDPI 2018-08-21 2018-09 /pmc/articles/PMC6165279/ /pubmed/30134584 http://dx.doi.org/10.3390/ijerph15091798 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cho, Duk Youn
Koo, Jung-Wan
Differences in Metabolic Syndrome Prevalence by Employment Type and Sex
title Differences in Metabolic Syndrome Prevalence by Employment Type and Sex
title_full Differences in Metabolic Syndrome Prevalence by Employment Type and Sex
title_fullStr Differences in Metabolic Syndrome Prevalence by Employment Type and Sex
title_full_unstemmed Differences in Metabolic Syndrome Prevalence by Employment Type and Sex
title_short Differences in Metabolic Syndrome Prevalence by Employment Type and Sex
title_sort differences in metabolic syndrome prevalence by employment type and sex
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6165279/
https://www.ncbi.nlm.nih.gov/pubmed/30134584
http://dx.doi.org/10.3390/ijerph15091798
work_keys_str_mv AT chodukyoun differencesinmetabolicsyndromeprevalencebyemploymenttypeandsex
AT koojungwan differencesinmetabolicsyndromeprevalencebyemploymenttypeandsex