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Sex differences in risk factors for metabolic syndrome in middle-aged and senior hospital employees: a population-based cohort study

BACKGROUND: Several cross-sectional studies have reported risk factors for metabolic syndrome (MetS). However, these studies did not focus on sex differences in middle-aged and senior populations or employ a longitudinal design. These study design differences are important, as there are sex differen...

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Autores principales: Chang, Hsu-Chieh, Wu, Yi-Syuan, Tzeng, Wen-Chii, Wu, Hao-Yi, Lee, Pai-Ching, Wang, Wei-Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10053111/
https://www.ncbi.nlm.nih.gov/pubmed/36991367
http://dx.doi.org/10.1186/s12889-023-15491-4
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author Chang, Hsu-Chieh
Wu, Yi-Syuan
Tzeng, Wen-Chii
Wu, Hao-Yi
Lee, Pai-Ching
Wang, Wei-Yun
author_facet Chang, Hsu-Chieh
Wu, Yi-Syuan
Tzeng, Wen-Chii
Wu, Hao-Yi
Lee, Pai-Ching
Wang, Wei-Yun
author_sort Chang, Hsu-Chieh
collection PubMed
description BACKGROUND: Several cross-sectional studies have reported risk factors for metabolic syndrome (MetS). However, these studies did not focus on sex differences in middle-aged and senior populations or employ a longitudinal design. These study design differences are important, as there are sex differences in lifestyle habits associated with MetS, and middle-aged and senior individuals have increased MetS susceptibility. Therefore, the purpose of this study was to examine whether sex differences influenced MetS risk over a ten-year follow-up period among middle-aged and senior hospital employees. METHODS: This population-based and prospective cohort study enrolled 565 participants who did not have MetS in 2012 for a ten-year repeated-measurement analysis. Data were retrieved from the hospital’s Health Management Information System. Analyses included Student’s t tests, χ(2) tests and Cox regression. P < 0.05 indicated statistical significance. RESULTS: Male middle-aged and senior hospital employees had an elevated MetS risk (hazard ratio (HR) = 1.936, p < 0.001). Men with more than four family history risk factors had an increased risk of MetS (HR = 1.969, p = 0.010). Women who worked shift duty (HR = 1.326, p = 0.020), had more than two chronic diseases (HR = 1.513, p = 0.012), had three family history risk factors (HR = 1.623, p = 0.010), or chewed betel nuts (HR = 9.710, p = 0.002) had an increased risk of MetS. CONCLUSIONS: The longitudinal design of our study improves the understanding of sex differences in MetS risk factors in middle-aged and senior adults. A significantly elevated risk of MetS over the ten-year follow-up period was associated with male sex, shift work, the number of chronic diseases, the number of family history risk factors, and betel nut chewing. Women who chewed betel nuts had an especially increased risk of MetS. Our study indicates that population-specific studies are important for the identification of subgroups susceptible to MetS and for the implementation of hospital-based strategies.
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spelling pubmed-100531112023-03-30 Sex differences in risk factors for metabolic syndrome in middle-aged and senior hospital employees: a population-based cohort study Chang, Hsu-Chieh Wu, Yi-Syuan Tzeng, Wen-Chii Wu, Hao-Yi Lee, Pai-Ching Wang, Wei-Yun BMC Public Health Research BACKGROUND: Several cross-sectional studies have reported risk factors for metabolic syndrome (MetS). However, these studies did not focus on sex differences in middle-aged and senior populations or employ a longitudinal design. These study design differences are important, as there are sex differences in lifestyle habits associated with MetS, and middle-aged and senior individuals have increased MetS susceptibility. Therefore, the purpose of this study was to examine whether sex differences influenced MetS risk over a ten-year follow-up period among middle-aged and senior hospital employees. METHODS: This population-based and prospective cohort study enrolled 565 participants who did not have MetS in 2012 for a ten-year repeated-measurement analysis. Data were retrieved from the hospital’s Health Management Information System. Analyses included Student’s t tests, χ(2) tests and Cox regression. P < 0.05 indicated statistical significance. RESULTS: Male middle-aged and senior hospital employees had an elevated MetS risk (hazard ratio (HR) = 1.936, p < 0.001). Men with more than four family history risk factors had an increased risk of MetS (HR = 1.969, p = 0.010). Women who worked shift duty (HR = 1.326, p = 0.020), had more than two chronic diseases (HR = 1.513, p = 0.012), had three family history risk factors (HR = 1.623, p = 0.010), or chewed betel nuts (HR = 9.710, p = 0.002) had an increased risk of MetS. CONCLUSIONS: The longitudinal design of our study improves the understanding of sex differences in MetS risk factors in middle-aged and senior adults. A significantly elevated risk of MetS over the ten-year follow-up period was associated with male sex, shift work, the number of chronic diseases, the number of family history risk factors, and betel nut chewing. Women who chewed betel nuts had an especially increased risk of MetS. Our study indicates that population-specific studies are important for the identification of subgroups susceptible to MetS and for the implementation of hospital-based strategies. BioMed Central 2023-03-29 /pmc/articles/PMC10053111/ /pubmed/36991367 http://dx.doi.org/10.1186/s12889-023-15491-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Chang, Hsu-Chieh
Wu, Yi-Syuan
Tzeng, Wen-Chii
Wu, Hao-Yi
Lee, Pai-Ching
Wang, Wei-Yun
Sex differences in risk factors for metabolic syndrome in middle-aged and senior hospital employees: a population-based cohort study
title Sex differences in risk factors for metabolic syndrome in middle-aged and senior hospital employees: a population-based cohort study
title_full Sex differences in risk factors for metabolic syndrome in middle-aged and senior hospital employees: a population-based cohort study
title_fullStr Sex differences in risk factors for metabolic syndrome in middle-aged and senior hospital employees: a population-based cohort study
title_full_unstemmed Sex differences in risk factors for metabolic syndrome in middle-aged and senior hospital employees: a population-based cohort study
title_short Sex differences in risk factors for metabolic syndrome in middle-aged and senior hospital employees: a population-based cohort study
title_sort sex differences in risk factors for metabolic syndrome in middle-aged and senior hospital employees: a population-based cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10053111/
https://www.ncbi.nlm.nih.gov/pubmed/36991367
http://dx.doi.org/10.1186/s12889-023-15491-4
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