Roles of the physical environment in health-related quality of life in patients with chronic obstructive pulmonary disease

• Published in: Environmental research Vol. 203; p. 111828
• Main Authors: Moitra, Subhabrata, Foraster, Maria, Arbillaga-Etxarri, Ane, Marín, Alicia, Barberan-Garcia, Anael, Rodríguez-Chiaradia, Diego A., Balcells, Eva, Koreny, Maria, Torán-Monserrat, Pere, Vall-Casas, Pere, Rodríguez-Roisin, Robert, Garcia-Aymerich, Judith
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Inc 01.01.2022
• Subjects: Air Pollutants - analysis; Air pollution; Air Pollution - adverse effects; Air Pollution - analysis; Airflow limitation; COPD; Cross-Sectional Studies; Environment; Environmental Exposure - analysis; Humans; Male; Particulate Matter - analysis; Pulmonary Disease, Chronic Obstructive; Quality of Life; Air pollution; Environment; Airflow limitation; COPD; Quality of life
• ISSN: 0013-9351; 1096-0953
• DOI: 10.1016/j.envres.2021.111828

Many clinical and psychological factors are known to influence the health-related quality of life (HRQL) in chronic obstructive pulmonary disease (COPD). However, research on whether environmental factors, such as air pollution, noise, temperature, and blue/green spaces also influence HRQL in COPD has not been systematically investigated. To assess the relationship between air pollution, road traffic noise, temperature, and distance to blue/green spaces and respiratory-specific HRQL in COPD. We used cross-sectional data from a multicenter study in 407 stable mild-to-very severe COPD patients from Barcelona (Catalonia). Patients answered the COPD Assessment Test (CAT) and Clinical COPD Questionnaire (CCQ). Individual residential exposure to air pollutants (nitrogen dioxide [NO2] and particulate matters of varying aerodynamic diameters [PM2.5, PM10, and PM2.5absorbance]), road traffic noise (Lden), and land surface temperature were estimated using long-term averages from land-use regression models, 24-h noise maps, and land surface temperature maps, respectively. We measured residential distances to blue/green spaces from the Urban Atlas. We used mixed-effect negative binomial (for CAT) and linear (for CCQ) regression models, adjusted for potential confounders, with a random effect by center. Of those patients, 85 % were male and had a mean (SD) age of 69 (9) years, CAT score of 12 (7), CCQ-total score of 1.4 (1.0), and post-bronchodilator forced expiratory volume in 1 s (FEV1) of 57 (18) %predicted. We found that NO2 and PM2.5absorbance were associated with worsened CAT and CCQ-mental scores, e.g., 0.15-unit change in CAT score [regression coefficient (β) = 0.15; 95 % confidence interval (CI) = 0.03, 0.26] per interquartile range in NO2 [13.7 μg/m3]. Greater distances to blue/green spaces were associated with worsened CCQ-mental scores [0.08; 0.002, 0.15]. Our study showed that increased air pollution, particularly NO2 and PM2.5absorbance and greater distances to blue/green spaces negatively influence HRQL in COPD patients. These findings have important implications for the WHO promotion to develop healthy cities for our future. •We measured health-related quality of life (HRQL) in COPD patients in association with physical environment.•A significant association was found between air pollution, and greater distances to blue/green spaces, and worse HRQL in COPD patients.•Environmental factors also significantly influence HRQL, particularly in patients with a chronic respiratory disease.