Latent profile analysis and related factors of physical activity in older adults with chronic obstructive pulmonary disease
Year: 2025
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Physical activity (PA) is an important non-pharmacological intervention that can slow the progression of Chronic Obstructive Pulmonary Disease (COPD). Unfortunately, PA levels in older adults with COPD remain low, and there is substantial heterogeneity within this population. Therefore, identifying potential subgroups is essential for developing targeted interventions. OBJECTIVES: The purpose of this study is to identify latent profiles of PA, and explore the associated factors to inform personalized interventions for this population. METHODS: This multicenter cross-sectional study was conducted from November 2024 to March 2025 at a tertiary hospital and four community health service centers in the Changning District of Shanghai. The revised International Physical Activity Questionnaire-Long (IPAQ-L) was utilized to assess PA and sedentary behavior. Latent profile analysis (LPA) was employed to classify the subgroups, followed by multinomial logistic regression to explore influencing factors. RESULTS: A total of 423 older adults with COPD (male N = 383; aged 60-89) were included in this study. LPA identified three distinct PA profiles, named the "moderate activity-moderate sedentary-low barrier (C1) group", the "low activity-high sedentary-high barrier (C2) group", and the "high activity-low sedentary-moderate barrier (C3) group". The factors were significantly associated with PA, including Body Mass Index (BMI), disease duration, number of hospitalizations, GOLD stage, COPD Assessment Test (CAT) score, exercise self-efficacy, and exercise social support (p < 0.05). CONCLUSION: LPA identified three subgroups of PA in older adults with COPD. The results of this research will facilitate targeted interventions for each of the identified subgroups with distinct characteristics, thereby enhancing the management of COPD and reducing healthcare burdens.
Source: Heart & Lung
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,600
Funder: Shanghai Jiao Tong University
Award: G3913497133
OpenAlex ID: W4416239052
