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Study on the associations of physical activity types and cardiovascular diseases among Chinese population using latent class analysis method
Previous studies reported on the association between physical activity (PA) and cardiovascular diseases (CVD(S)) among the Western population. However, evidence on the association between different patterns of PA and the risk of CVD(S) among Chinese population are limited. This study aims to evaluat...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110359/ https://www.ncbi.nlm.nih.gov/pubmed/35577851 http://dx.doi.org/10.1038/s41598-022-12182-9 |
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author | Chen, Chong Liu, Jiali Lu, Shurong Ding, Ganling Wang, Jiaqi Qin, Yu Wang, Zengwu Wang, Xin Zhang, Zhiyong Xiang, Quanyong |
author_facet | Chen, Chong Liu, Jiali Lu, Shurong Ding, Ganling Wang, Jiaqi Qin, Yu Wang, Zengwu Wang, Xin Zhang, Zhiyong Xiang, Quanyong |
author_sort | Chen, Chong |
collection | PubMed |
description | Previous studies reported on the association between physical activity (PA) and cardiovascular diseases (CVD(S)) among the Western population. However, evidence on the association between different patterns of PA and the risk of CVD(S) among Chinese population are limited. This study aims to evaluate the association of different PA types and the risk of CVD(S) in a Chinese adult population. A total of 3568 community residents were recruited from Jiangsu Province of China using a stratified multistage cluster sampling method. The latent class analysis method was employed to identify the types of PA, and the Framingham risk score (FRS) was used to estimate the risk of CVD(S) within 10 years. Three types of PA were identified: CLASS1 represented participants with high occupational PA and low sedentary PA (32.1% of male, 26.5% of female), ClASS2 represented those engaging in low occupational PA and high leisure-time PA (27.0% of male, 14.2% of female), and CLASS3 represented low leisure-time and high sedentary PA (40.9% of male, 59.3% of female). The average of FRS in males was higher than that in females across PA types. CLASS1 (OR = 0.694, 95%CI 0.553–0.869) and CLASS2 (OR = 0.748, 95%CI 0.573–0.976) were both found to be protective against CVD(S) in males; however, such associations were not statistically significant among females. Therefore, higher occupational or leisure-time PA appear to be associated with decreased risk of CVD(S), while more sedentary behaviors may increase the risk of CVD(S), particularly for male Chinese adults. |
format | Online Article Text |
id | pubmed-9110359 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-91103592022-05-18 Study on the associations of physical activity types and cardiovascular diseases among Chinese population using latent class analysis method Chen, Chong Liu, Jiali Lu, Shurong Ding, Ganling Wang, Jiaqi Qin, Yu Wang, Zengwu Wang, Xin Zhang, Zhiyong Xiang, Quanyong Sci Rep Article Previous studies reported on the association between physical activity (PA) and cardiovascular diseases (CVD(S)) among the Western population. However, evidence on the association between different patterns of PA and the risk of CVD(S) among Chinese population are limited. This study aims to evaluate the association of different PA types and the risk of CVD(S) in a Chinese adult population. A total of 3568 community residents were recruited from Jiangsu Province of China using a stratified multistage cluster sampling method. The latent class analysis method was employed to identify the types of PA, and the Framingham risk score (FRS) was used to estimate the risk of CVD(S) within 10 years. Three types of PA were identified: CLASS1 represented participants with high occupational PA and low sedentary PA (32.1% of male, 26.5% of female), ClASS2 represented those engaging in low occupational PA and high leisure-time PA (27.0% of male, 14.2% of female), and CLASS3 represented low leisure-time and high sedentary PA (40.9% of male, 59.3% of female). The average of FRS in males was higher than that in females across PA types. CLASS1 (OR = 0.694, 95%CI 0.553–0.869) and CLASS2 (OR = 0.748, 95%CI 0.573–0.976) were both found to be protective against CVD(S) in males; however, such associations were not statistically significant among females. Therefore, higher occupational or leisure-time PA appear to be associated with decreased risk of CVD(S), while more sedentary behaviors may increase the risk of CVD(S), particularly for male Chinese adults. Nature Publishing Group UK 2022-05-16 /pmc/articles/PMC9110359/ /pubmed/35577851 http://dx.doi.org/10.1038/s41598-022-12182-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) . |
spellingShingle | Article Chen, Chong Liu, Jiali Lu, Shurong Ding, Ganling Wang, Jiaqi Qin, Yu Wang, Zengwu Wang, Xin Zhang, Zhiyong Xiang, Quanyong Study on the associations of physical activity types and cardiovascular diseases among Chinese population using latent class analysis method |
title | Study on the associations of physical activity types and cardiovascular diseases among Chinese population using latent class analysis method |
title_full | Study on the associations of physical activity types and cardiovascular diseases among Chinese population using latent class analysis method |
title_fullStr | Study on the associations of physical activity types and cardiovascular diseases among Chinese population using latent class analysis method |
title_full_unstemmed | Study on the associations of physical activity types and cardiovascular diseases among Chinese population using latent class analysis method |
title_short | Study on the associations of physical activity types and cardiovascular diseases among Chinese population using latent class analysis method |
title_sort | study on the associations of physical activity types and cardiovascular diseases among chinese population using latent class analysis method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110359/ https://www.ncbi.nlm.nih.gov/pubmed/35577851 http://dx.doi.org/10.1038/s41598-022-12182-9 |
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