Associations of Cardiorespiratory Fitness and Muscular Endurance Fitness With Pulmonary Function in Physically Active Young Adults Article

Full Text via DOI: 10.1016/j.arbres.2024.06.005 Web of Science: 001410136300001

Cited authors

  • Liu CH, Lin YC, Huang WC, Sui XM, Lavie CJ, Lin GM

Abstract

  • Rationale: While the beneficial effects of physical fitness on general health are well-documented, the specific relationship between different types of physical fitness, particularly cardiorespiratory fitness (CRF) and muscular endurance fitness (MEF), and lung function in physically active young adults remains less explored. Objective: This study investigated the relationship between CRF and MEF, and their correlation with lung function in physically active young adults. Methods: This cross-sectional study involved a cohort of 1227 physically active young adults without lung diseases. Lung function was assessed using FEV1, FVC, and FEV1/FVC measurements. The 3000-m run was used to assess CRF, and the 2-min push-up and sit-up tests were used to assess MEF. Multivariable linear regression analysis was used to evaluate the relationships between these fitness measures and lung function, adjusting for potential covariates. Results: Enhanced CRF was associated with superior FEV1 and FVC after adjusting for covariates (8 = -.078, p = .015 for FEV1; 8 = -.086, p = .009 for FVC). Push-ups were positively associated with FEV1 (8 = .102, p = .014), but not with FVC. In contrast, sit-ups showed no significant correlation with lung function in the fully adjusted model. Conclusion: The study demonstrated a clear association between improved physical fitness and better lung function in physically active young adults, with various exercises showing distinct associations with lung metrics. Notably, push-ups were particularly associated with higher FEV1. A future prospective study is necessary to determine whether routine exercises, such as push-ups, might lead to greater lung function. (c) 2024 SEPAR. Published by Elsevier Espana, S.L.U. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

Publication date

  • 2025

International Standard Serial Number (ISSN)

  • 0300-2896

Number of pages

  • 8

Start page

  • 5

End page

  • 12

Volume

  • 61

Issue

  • 1