Non-linear association of anthropometric measurements and pulmonary function

Abstract 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...

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Autores principales:	Rui-Heng Zhang, Jian-Bo Zhou, Yao-Hua Cai, Lin-Ping Shu, Jinkui Yang, Wenbin Wei, Albert Lecube
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/c6fad49452764cd995f2b491c75fa3f1
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spelling	oai:doaj.org-article:c6fad49452764cd995f2b491c75fa3f12021-12-02T15:33:00ZNon-linear association of anthropometric measurements and pulmonary function10.1038/s41598-021-93985-02045-2322https://doaj.org/article/c6fad49452764cd995f2b491c75fa3f12021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-93985-0https://doaj.org/toc/2045-2322Abstract 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 (FEV1) and forced vital capacity (FVC). Furthermore, the associations between BMI and FEV1, 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.Rui-Heng ZhangJian-Bo ZhouYao-Hua CaiLin-Ping ShuJinkui YangWenbin WeiAlbert LecubeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Rui-Heng Zhang Jian-Bo Zhou Yao-Hua Cai Lin-Ping Shu Jinkui Yang Wenbin Wei Albert Lecube Non-linear association of anthropometric measurements and pulmonary function
description	Abstract 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 (FEV1) and forced vital capacity (FVC). Furthermore, the associations between BMI and FEV1, 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	article
author	Rui-Heng Zhang Jian-Bo Zhou Yao-Hua Cai Lin-Ping Shu Jinkui Yang Wenbin Wei Albert Lecube
author_facet	Rui-Heng Zhang Jian-Bo Zhou Yao-Hua Cai Lin-Ping Shu Jinkui Yang Wenbin Wei Albert Lecube
author_sort	Rui-Heng Zhang
title	Non-linear association of anthropometric measurements and pulmonary function
title_short	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_sort	non-linear association of anthropometric measurements and pulmonary function
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/c6fad49452764cd995f2b491c75fa3f1
work_keys_str_mv	AT ruihengzhang nonlinearassociationofanthropometricmeasurementsandpulmonaryfunction AT jianbozhou nonlinearassociationofanthropometricmeasurementsandpulmonaryfunction AT yaohuacai nonlinearassociationofanthropometricmeasurementsandpulmonaryfunction AT linpingshu nonlinearassociationofanthropometricmeasurementsandpulmonaryfunction AT jinkuiyang nonlinearassociationofanthropometricmeasurementsandpulmonaryfunction AT wenbinwei nonlinearassociationofanthropometricmeasurementsandpulmonaryfunction AT albertlecube nonlinearassociationofanthropometricmeasurementsandpulmonaryfunction
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Non-linear association of anthropometric measurements and pulmonary function

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