Engagement in Particulate Matter Exposure Reduction Behaviors Across Diverse Clinical Cohorts
Sung Woo Moon1, Ji Ye Jung2, Hyun Woo Ji3
1Division of Pulmonary and Allergy, Department of Internal Medicine, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul 05030, Republic of Korea.
None:
Background and Objectives: We aimed to evaluate differences in PM exposure reduction behaviors among older adults and patients with chronic respiratory diseases, atrial fibrillation, and stroke and to identify associated determinants. Materials and Methods: This multicenter cross-sectional study included 717 participants from five cohorts: older adults (n = 255), chronic obstructive pulmonary disease (COPD, n = 145), asthma (n = 100), atrial fibrillation (n = 117), and stroke (n = 100). PM exposure reduction behaviors were assessed using a standardized 18-item questionnaire (total score range: 0-126) covering indoor, outdoor, and other behaviors (health-seeking actions, such as checking air quality and using purifiers). Results: In multivariable linear regression models, COPD (β = 11.09), asthma (β = 15.54), and atrial fibrillation (β = 14.29) were associated with significantly higher total behavior scores compared with the older adult cohort (adjusted mean 69.0), corresponding to an approximately 20% relative increase in the asthma cohort. The stroke cohort did not differ significantly from the primary cohort. Domain-specific analyses showed that indoor and other behavioral scores were consistently higher across all disease cohorts, whereas outdoor scores were significantly elevated only for asthma and atrial fibrillation. In a fully adjusted model that included all covariates simultaneously, the stroke cohort demonstrated a modest increase in the total score (β = 8.79). Increased age and higher educational attainment were independently associated with greater behavioral engagement. Conclusions: PM exposure reduction behavior scores differed across the clinical cohorts, and sociodemographic factors were independently associated with behavioral engagement. These findings support personalized disease-specific counseling and inform future digital health interventions for vulnerable populations.
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