Last updated:
Author(s):
Qing Liang, Guangchun Sun, Jiuling Deng, Qingqing Qian, Yougen Wu
Publish date:
5 October 2024
Journal:
Respiratory Medicine and Research
PubMed ID:
39413579

Abstract

INTRODUCTION: The impact of physical activity on the incidence of idiopathic pulmonary fibrosis (IPF) remains less well studied. This study aimed to investigate the relationship between moderate-to-vigorous physical activity (MVPA) and the risk of developing IPF.

METHODS: We analyzed data from a prospective cohort study within the UK Biobank involving 502,476 participants. Participants were categorized as meeting or not meeting the 2017 UK Physical Activity Guidelines (150 min of moderate activity or 75 min of vigorous activity per week). The cumulative incidence and hazard ratios (HRs) for IPF were analyzed using the Kaplan-Meier method, log-rank test, and Cox regression. Two-sample Mendelian randomization (MR) analyses were performed to identify potential causal links between physical activity and IPF risk.

RESULTS: Over a median of 12.2 y follow-up, we identified 1,639 incident IPF cases and 395,172 controls. Individuals who met the physical activity guidelines had a significantly lower risk of IPF than those who did not meet the guidelines (adjusted HR = 0.843, 95 % confidence interval [CI] = 0.765-0.930).The cumulative incidence of IPF was lower in the meeting guideline group than in the nonmeeting guideline group (Log-rank P = 0.0019). Two-sample MR analysis revealed that a 1-standard deviation increase in moderate-to-vigorous physical activity was linked to a reduced IPF risk (odds ratio [OR] = 0.17, 95 % CIs = 0.04 to 0.81, P = 0.026). Moreover, an increase in the number of days per week of moderate physical activity was genetically correlated with decreased IPF risk (OR = 0.32, 95 % CIs = 0.15-0.70, P = 0.003).

CONCLUSION: Higher levels of moderate-to-vigorous physical activity are causally associated with a significant reduction in the risk of developing IPF.

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Institution:
The Fifth People's Hospital of Shanghai, Fudan University, China

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