The association between anthropometric measures and lung function in a population-based study of Canadian adults

A. Rowe, P. Hernandez, S. Kuhle, S. Kirkland

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

Abstract

Background Decreased lung function has health impacts beyond diagnosable lung disease. It is therefore important to understand the factors that may influence even small changes in lung function including obesity, physical fitness and physical activity. The aim of this study was to determine the anthropometric measure most useful in examining the association with lung function and to determine how physical activity and physical fitness influence this association. Methods The current study used cross-sectional data on 4662 adults aged 40–79 years from the Canadian Health Measures Survey Cycles 1 and 2. Linear regression models were used to examine the association between the anthropometric and lung function measures (forced expiratory volume in 1 s [FEV1] and forced vital capacity [FVC]); R2 values were compared among models. Physical fitness and physical activity terms were added to the models and potential confounding was assessed. Results Models using sum of 5 skinfolds and waist circumference consistently had the highest R2 values for FEV1 and FVC, while models using body mass index consistently had among the lowest R2 values for FEV1 and FVC and for men and women. Physical activity and physical fitness were confounders of the relationships between waist circumference and the lung function measures. Waist circumference remained a significant predictor of FVC but not FEV1 after adjustment for physical activity or physical fitness. Conclusions Waist circumference is an important predictor of lung function. Physical activity and physical fitness should be considered as potential confounders of the relationship between anthropometric measures and lung function.

Original languageEnglish
Pages (from-to)199-204
Number of pages6
JournalRespiratory Medicine
Volume131
DOIs
Publication statusPublished - Oct 2017

Bibliographical note

Funding Information:
The analysis presented in this paper was conducted at the Atlantic Research Data Centre, which is part of the Canadian Research Data Centre Network (CRDCN). The services and activities provided by the Atlantic Research Data Centre are made possible by the financial or in-kind support of the SSHRC , the CIHR , the CFI , Statistics Canada , and Dalhousie University . The views expressed in this paper do not necessarily represent the CRDCN's or those of its partners.

Publisher Copyright:
© 2017

ASJC Scopus Subject Areas

  • Pulmonary and Respiratory Medicine

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