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Non-linear association of anthropometric measurements and pulmonary function
This study examined the association of anthropometric measurements [body mass index (BMI), waist circumference (WC), percentage body fat (PBF), body roundness index (BRI) and A Body Shape Index (ABSI)] with pulmonary function using a United States national cohort. This cross-sectional study included...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285490/ https://www.ncbi.nlm.nih.gov/pubmed/34272443 http://dx.doi.org/10.1038/s41598-021-93985-0 |
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author | Zhang, Rui-Heng Zhou, Jian-Bo Cai, Yao-Hua Shu, Lin-Ping Yang, Jinkui Wei, Wenbin Lecube, Albert |
author_facet | Zhang, Rui-Heng Zhou, Jian-Bo Cai, Yao-Hua Shu, Lin-Ping Yang, Jinkui Wei, Wenbin Lecube, Albert |
author_sort | Zhang, Rui-Heng |
collection | PubMed |
description | This study examined the association of anthropometric measurements [body mass index (BMI), waist circumference (WC), percentage body fat (PBF), body roundness index (BRI) and A Body Shape Index (ABSI)] with pulmonary function using a United States national cohort. This cross-sectional study included 7346 participants. The association between anthropometric measurements and pulmonary function was assessed by multivariable linear regression. Where there was evidence of non-linearity, we applied a restricted cubic spline to explore the non-linear association. All analyses were weighted to represent the U.S. population and to account for the intricate survey design. After adjusting for age, race, education, smoking, and physical activity, both underweight and obesity were associated with reduced forced expiratory volume in 1 s (FEV(1)) and forced vital capacity (FVC). Furthermore, the associations between BMI and FEV(1,) as well as FVC, were reversed U-shape in both males and females. Similar non-linear association shape occurred in WC, PBF, BRI and ABSI. Conclusion: BMI, WC, PBF, BRI, ABSI are non-linearly associated with pulmonary function. Reduced pulmonary function is a risk factor for future all-cause mortality and cardiovascular events; thus, this nonlinearity may explain the U-shape or J-shape association of BMI with overall mortality and cardiovascular events. |
format | Online Article Text |
id | pubmed-8285490 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-82854902021-07-19 Non-linear association of anthropometric measurements and pulmonary function Zhang, Rui-Heng Zhou, Jian-Bo Cai, Yao-Hua Shu, Lin-Ping Yang, Jinkui Wei, Wenbin Lecube, Albert Sci Rep Article This study examined the association of anthropometric measurements [body mass index (BMI), waist circumference (WC), percentage body fat (PBF), body roundness index (BRI) and A Body Shape Index (ABSI)] with pulmonary function using a United States national cohort. This cross-sectional study included 7346 participants. The association between anthropometric measurements and pulmonary function was assessed by multivariable linear regression. Where there was evidence of non-linearity, we applied a restricted cubic spline to explore the non-linear association. All analyses were weighted to represent the U.S. population and to account for the intricate survey design. After adjusting for age, race, education, smoking, and physical activity, both underweight and obesity were associated with reduced forced expiratory volume in 1 s (FEV(1)) and forced vital capacity (FVC). Furthermore, the associations between BMI and FEV(1,) as well as FVC, were reversed U-shape in both males and females. Similar non-linear association shape occurred in WC, PBF, BRI and ABSI. Conclusion: BMI, WC, PBF, BRI, ABSI are non-linearly associated with pulmonary function. Reduced pulmonary function is a risk factor for future all-cause mortality and cardiovascular events; thus, this nonlinearity may explain the U-shape or J-shape association of BMI with overall mortality and cardiovascular events. Nature Publishing Group UK 2021-07-16 /pmc/articles/PMC8285490/ /pubmed/34272443 http://dx.doi.org/10.1038/s41598-021-93985-0 Text en © The Author(s) 2021 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 Zhang, Rui-Heng Zhou, Jian-Bo Cai, Yao-Hua Shu, Lin-Ping Yang, Jinkui Wei, Wenbin Lecube, Albert Non-linear association of anthropometric measurements and pulmonary function |
title | Non-linear association of anthropometric measurements and pulmonary function |
title_full | Non-linear association of anthropometric measurements and pulmonary function |
title_fullStr | Non-linear association of anthropometric measurements and pulmonary function |
title_full_unstemmed | Non-linear association of anthropometric measurements and pulmonary function |
title_short | Non-linear association of anthropometric measurements and pulmonary function |
title_sort | non-linear association of anthropometric measurements and pulmonary function |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285490/ https://www.ncbi.nlm.nih.gov/pubmed/34272443 http://dx.doi.org/10.1038/s41598-021-93985-0 |
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