Skip to main navigation Skip to search Skip to main content

A Dyadic Growth Modeling Approach for Examining Associations between Weight Gain and Lung Function Decline

  • Talea Cornelius
  • , Joseph E. Schwartz
  • , Pallavi Balte
  • , Surya P. Bhatt
  • , Patricia A. Cassano
  • , David Currow
  • , David R. Jacobs
  • , Miriam Johnson
  • , Ravi Kalhan
  • , Richard Kronmal
  • , Laura Loehr
  • , George T. O'Connor
  • , Benjamin Smith
  • , Wendy B. White
  • , Sachin Yende
  • , Elizabeth C. Oelsner

Research output: Contribution to journal › Article › peer-review

Abstract

The relationship between body weight and lung function is complex. Using a dyadic multilevel linear modeling approach, treating body mass index (BMI; weight (kg)/height (m)2) and lung function as paired, within-person outcomes, we tested the hypothesis that persons with more rapid increase in BMI exhibit more rapid decline in lung function, as measured by forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), and their ratio (FEV1:FVC). Models included random intercepts and slopes and adjusted for sociodemographic and smoking-related factors. A sample of 9,115 adults with paired measurements of BMI and lung function taken at ≥3 visits were selected from a pooled set of 5 US population-based cohort studies (1983-2018; mean age at baseline = 46 years; median follow-up, 19 years). At age 46 years, average annual rates of change in BMI, FEV1, FVC, and FEV1:FVC ratio were 0.22 kg/m2/year,-25.50 mL/year,-21.99 mL/year, and-0.24%/year, respectively. Persons with steeper BMI increases had faster declines in FEV1 (r =-0.16) and FVC (r =-0.26) and slower declines in FEV1:FVC ratio (r = 0.11) (all P values < 0.0001). Results were similar in subgroup analyses. Residual correlations were negative (P < 0.0001), suggesting additional interdependence between BMI and lung function. Results show that greater rates of weight gain are associated with greater rates of lung function loss.

Original languageEnglish (US)
Pages (from-to)1173-1184
Number of pages12
JournalAmerican journal of epidemiology
Volume189
Issue number10
DOIs
StatePublished - Oct 1 2020

Bibliographical note

Publisher Copyright:
© 2020 The Author(s) 2020. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: [email protected].

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • body mass index
  • chronic obstructive lung disease
  • cohort studies
  • dyadic models
  • longitudinal studies
  • lung function
  • obesity
  • spirometry

Fingerprint

Dive into the research topics of 'A Dyadic Growth Modeling Approach for Examining Associations between Weight Gain and Lung Function Decline'. Together they form a unique fingerprint.

Cite this