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Association between sedentary time and metabolic syndrome: A cross-sectional study among Chinese Garze Tibetans

BACKGROUND: Chinese Tibetans have long hours of sitting without much physical activity given their religious behavior, raising potential harmful health hazards. However, the relationship between sedentary time and metabolic syndrome (MetS) has not been investigated in Chinese Tibetans. METHODS: From...

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Autores principales: Guo, Lei, Liu, Yixuan, Xue, Tingting, Liang, Liang, Nima, Yongcuo, Yang, Yang, Li, Qun, Zhang, Qiushi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713937/
https://www.ncbi.nlm.nih.gov/pubmed/36466463
http://dx.doi.org/10.3389/fpubh.2022.1009764
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author Guo, Lei
Liu, Yixuan
Xue, Tingting
Liang, Liang
Nima, Yongcuo
Yang, Yang
Li, Qun
Zhang, Qiushi
author_facet Guo, Lei
Liu, Yixuan
Xue, Tingting
Liang, Liang
Nima, Yongcuo
Yang, Yang
Li, Qun
Zhang, Qiushi
author_sort Guo, Lei
collection PubMed
description BACKGROUND: Chinese Tibetans have long hours of sitting without much physical activity given their religious behavior, raising potential harmful health hazards. However, the relationship between sedentary time and metabolic syndrome (MetS) has not been investigated in Chinese Tibetans. METHODS: From Jan 2021 to Jun 2022, residents in Garze Tibetan Autonomous Prefecture in Southwest China's Sichuan province were recruited using a multi-stage, stratified, random-cluster sampling strategy. MetS were ascertained using definition proposed by the International Diabetes Federation. Associations between sedentary time and the prevalence of MetS in the total sample and by age and sex were estimated using logistic regression models. RESULTS: Among 971 Chinese Tibetan participants (mean age 41.1 years and 73.8% female), 319 (32.9%) were diagnosed as having MetS. We found positive associations of sedentary time over 11 h per day with the prevalence of MetS in crude (OR: 1.23; 95% CI: 1.12–1.36, p < 0.001), age and sex adjusted (OR: 1.18; 95% CI: 1.08–1.29, p < 0.001), and fully adjusted (OR: 1.17; 95% CI: 1.08–1.29, p < 0.001) models, compared to those who had <8 h of sedentary time per day. Sensitivity analyses suggest consistent positive association between sedentary time and each metric of MetS. CONCLUSIONS: Sedentary time longer than 11 h per day is significantly associated with increased risk of MetS, suggesting that polices to advocate health education may alleviate the health burden of MetS among Tibetans in China.
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spelling pubmed-97139372022-12-02 Association between sedentary time and metabolic syndrome: A cross-sectional study among Chinese Garze Tibetans Guo, Lei Liu, Yixuan Xue, Tingting Liang, Liang Nima, Yongcuo Yang, Yang Li, Qun Zhang, Qiushi Front Public Health Public Health BACKGROUND: Chinese Tibetans have long hours of sitting without much physical activity given their religious behavior, raising potential harmful health hazards. However, the relationship between sedentary time and metabolic syndrome (MetS) has not been investigated in Chinese Tibetans. METHODS: From Jan 2021 to Jun 2022, residents in Garze Tibetan Autonomous Prefecture in Southwest China's Sichuan province were recruited using a multi-stage, stratified, random-cluster sampling strategy. MetS were ascertained using definition proposed by the International Diabetes Federation. Associations between sedentary time and the prevalence of MetS in the total sample and by age and sex were estimated using logistic regression models. RESULTS: Among 971 Chinese Tibetan participants (mean age 41.1 years and 73.8% female), 319 (32.9%) were diagnosed as having MetS. We found positive associations of sedentary time over 11 h per day with the prevalence of MetS in crude (OR: 1.23; 95% CI: 1.12–1.36, p < 0.001), age and sex adjusted (OR: 1.18; 95% CI: 1.08–1.29, p < 0.001), and fully adjusted (OR: 1.17; 95% CI: 1.08–1.29, p < 0.001) models, compared to those who had <8 h of sedentary time per day. Sensitivity analyses suggest consistent positive association between sedentary time and each metric of MetS. CONCLUSIONS: Sedentary time longer than 11 h per day is significantly associated with increased risk of MetS, suggesting that polices to advocate health education may alleviate the health burden of MetS among Tibetans in China. Frontiers Media S.A. 2022-11-17 /pmc/articles/PMC9713937/ /pubmed/36466463 http://dx.doi.org/10.3389/fpubh.2022.1009764 Text en Copyright © 2022 Guo, Liu, Xue, Liang, Nima, Yang, Li and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Guo, Lei
Liu, Yixuan
Xue, Tingting
Liang, Liang
Nima, Yongcuo
Yang, Yang
Li, Qun
Zhang, Qiushi
Association between sedentary time and metabolic syndrome: A cross-sectional study among Chinese Garze Tibetans
title Association between sedentary time and metabolic syndrome: A cross-sectional study among Chinese Garze Tibetans
title_full Association between sedentary time and metabolic syndrome: A cross-sectional study among Chinese Garze Tibetans
title_fullStr Association between sedentary time and metabolic syndrome: A cross-sectional study among Chinese Garze Tibetans
title_full_unstemmed Association between sedentary time and metabolic syndrome: A cross-sectional study among Chinese Garze Tibetans
title_short Association between sedentary time and metabolic syndrome: A cross-sectional study among Chinese Garze Tibetans
title_sort association between sedentary time and metabolic syndrome: a cross-sectional study among chinese garze tibetans
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713937/
https://www.ncbi.nlm.nih.gov/pubmed/36466463
http://dx.doi.org/10.3389/fpubh.2022.1009764
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