Factors Associated With Regular Exercise Participation in Individuals With Chronic Obstructive Pulmonary Disease: A Systematic Review and Meta-Analysis.

J Gerontol NursAug 24, 2026 (epub)

Ja Yun Choi, Sola Cho, Su Yeon Lim et al.

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In 30 seconds

This systematic review and meta-analysis examined factors associated with regular exercise participation among people with chronic obstructive pulmonary disease (COPD). The authors searched international and Korean databases for studies published from 2013 to 2024 and included 22 studies; 21 were rated high quality and one moderate quality. Exercise participation was associated with motivation (r = 0.15, p = .035), symptoms (r = -0.14, p = .015), educational level (r = 0.13, p = .003), pulmonary function (r = 0.09, p = .049), and social support (r = 0.05, p = .040).

Key findings

  • Motivation had a positive association with exercise participation (r = 0.15, p = .035).
  • Symptoms were negatively associated with exercise participation (r = -0.14, p = .015); heterogeneity was significant (I2 = 89.3%, p < .001).
  • Educational level (r = 0.13, p = .003), pulmonary function (r = 0.09, p = .049), and social support (r = 0.05, p = .040) were positively associated with participation.

Why it matters

Exercise participation in COPD appears related to more than clinical status alone: motivation, education, and social support were also associated with engagement. Recognising this range of correlates may help inform approaches to supporting sustained exercise, while the modest associations and symptom-related heterogeneity underscore that participation is multifactorial.

What to keep in mind

The review reports significant heterogeneity for the association between symptoms and exercise participation (I2 = 89.3%, p < .001), indicating variability across the contributing studies.

Source

Published in J Gerontol Nurs. This summary was written by xxcode from the publication's abstract and metadata. It is not peer reviewed and is not a substitute for the original article. For clinical decisions, review the original publication.

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AI-generated summaries may contain errors or omissions. Verify clinically important information with the original publication.

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