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Non-linear association of anthropometric measurements and pulmonary function

Ruiheng Zhang, Jianbo Zhou, Yao-Hua Cai, Lin‐Ping Shu, Jinkui Yang, Wenbin Wei, Albert Lecube

2021Scientific Reports20 citationsDOIOpen Access PDF

Abstract

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 (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.

Topics & Concepts

Body Shape IndexMedicineBody mass indexWaistAnthropometryUnderweightLean body massPopulationVital capacityInternal medicineDemographyObesityPulmonary function testingLinear regressionCohortCardiologyClassification of obesityLung functionOverweightLungStatisticsBody weightMathematicsEnvironmental healthDiffusing capacityFat massSociologyChronic Obstructive Pulmonary Disease (COPD) ResearchNutrition and Health in AgingBody Composition Measurement Techniques
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