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dc.contributor.authorZhang, Rui‑Heng
dc.contributor.authorZhou, Jian‑Bo
dc.contributor.authorCai, Yao‑Hua
dc.contributor.authorShu, Lin‑Ping
dc.contributor.authorYang, Jinkui
dc.contributor.authorWei, Wenbin
dc.contributor.authorLecube Torelló, Albert
dc.date.accessioned2021-09-14T10:41:52Z
dc.date.available2021-09-14T10:41:52Z
dc.date.issued2021
dc.identifier.issn2045-2322
dc.identifier.urihttp://hdl.handle.net/10459.1/71847
dc.description.abstractThis 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.ca_ES
dc.description.sponsorshipTis work was supported by (i) the National Natural Science Foundation of China (No. 82070851, 81870556, 81670738, 81930019), Beijing Municipal Administration of Hospital`s Youth Program (QML20170204), Excellent Talents in Dongcheng District of Beijing and (ii) the Instituto de Salud Carlos III (Fondo de Investigación Sanitaria, PI 15/00260 and PI18/00640), European Union, European Regional Development Fund (Fondo Europeo de Desarrollo Regional, FEDER, “Una manera de hacer Europa”). CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM) are initiatives of the Instituto Carlos III. Te European Foundation for the Study of Diabetes (EFSD/Lilly-Mental Health and Diabetes Programme) and Laboratorios Menarini. Te funders played no role in the design or conduct of the study; in the collection, management, analysis, or interpretation of the data; or in the preparation, review, or approval of the manuscript.ca_ES
dc.language.isoengca_ES
dc.publisherNature Researchca_ES
dc.relation.isformatofReproducció del document publicat a https://doi.org/10.1038/s41598-021-93985-0ca_ES
dc.relation.ispartofScientific Reports, 2021, núm. 11, 14596ca_ES
dc.rightscc-by (c) Zhang et al., 2021ca_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectEndocrine system and metabolic diseasesca_ES
dc.subjectPublic healthca_ES
dc.subjectWeight managementca_ES
dc.titleNon‑linear association of anthropometric measurements and pulmonary functionca_ES
dc.typeinfo:eu-repo/semantics/articleca_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_ES
dc.identifier.doihttps://doi.org/10.1038/s41598-021-93985-0


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