TY - JOUR
T1 - Personal and household PM2.5 and black carbon exposure measures and respiratory symptoms in 8 low- and middle-income countries
AU - PURE-AIR study investigators
AU - Wang, Ying
AU - Shupler, Matthew
AU - Birch, Aaron
AU - Chu, Yen Li
AU - Jeronimo, Matthew
AU - Rangarajan, Sumathy
AU - Mustaha, Maha
AU - Heenan, Laura
AU - Seron, Pamela
AU - Saavedra, Nicolas
AU - Oliveros, Maria Jose
AU - Lopez-Jaramillo, Patricio
AU - Camacho, Paul A.
AU - Otero, Johnna
AU - Perez-Mayorga, Maritza
AU - Yeates, Karen
AU - West, Nicola
AU - Ncube, Tatenda
AU - Ncube, Brian
AU - Chifamba, Jephat
AU - Yusuf, Rita
AU - Khan, Afreen
AU - Liu, Zhiguang
AU - Cheng, Xiaoru
AU - Wei, Li
AU - Tse, L. A.
AU - Mohan, Deepa
AU - Kumar, Parthiban
AU - Gupta, Rajeev
AU - Mohan, Indu
AU - Jayachitra, K. G.
AU - Mony, Prem K.
AU - Rammohan, Kamala
AU - Nair, Sanjeev
AU - Lakshmi, P. V.M.
AU - Sagar, Vivek
AU - Khawaja, Rehman
AU - Iqbal, Romaina
AU - Kazmi, Khawar
AU - Yusuf, Salim
AU - Brauer, Michael
AU - Hystad, Perry
N1 - Publisher Copyright:
© 2022
PY - 2022/9
Y1 - 2022/9
N2 - Background: Household air pollution (HAP) from cooking with solid fuels has been associated with adverse respiratory effects, but most studies use surveys of fuel use to define HAP exposure, rather than on actual air pollution exposure measurements. Objective: To examine associations between household and personal fine particulate matter (PM2.5) and black carbon (BC) measures and respiratory symptoms. Methods: As part of the Prospective Urban and Rural Epidemiology Air Pollution study, we analyzed 48-h household and personal PM2.5 and BC measurements for 870 individuals using different cooking fuels from 62 communities in 8 countries (Bangladesh, Chile, China, Colombia, India, Pakistan, Tanzania, and Zimbabwe). Self-reported respiratory symptoms were collected after monitoring. Associations between PM2.5 and BC exposures and respiratory symptoms were examined using logistic regression models, controlling for individual, household, and community covariates. Results: The median (interquartile range) of household and personal PM2.5 was 73.5 (119.1) and 65.3 (91.5) μg/m3, and for household and personal BC was 3.4 (8.3) and 2.5 (4.9) x10−5 m−1, respectively. We observed associations between household PM2.5 and wheeze (OR: 1.25; 95%CI: 1.07, 1.46), cough (OR: 1.22; 95%CI: 1.06, 1.39), and sputum (OR: 1.26; 95%CI: 1.10, 1.44), as well as exposure to household BC and wheeze (OR: 1.20; 95%CI: 1.03, 1.39) and sputum (OR: 1.20; 95%CI: 1.05, 1.36), per IQR increase. We observed associations between personal PM2.5 and wheeze (OR: 1.23; 95%CI: 1.00, 1.50) and sputum (OR: 1.19; 95%CI: 1.00, 1.41). For household PM2.5 and BC, associations were generally stronger for females compared to males. Models using an indicator variable of solid versus clean fuels resulted in larger OR estimates with less precision. Conclusions: We used measurements of household and personal air pollution for individuals using different cooking fuels and documented strong associations with respiratory symptoms.
AB - Background: Household air pollution (HAP) from cooking with solid fuels has been associated with adverse respiratory effects, but most studies use surveys of fuel use to define HAP exposure, rather than on actual air pollution exposure measurements. Objective: To examine associations between household and personal fine particulate matter (PM2.5) and black carbon (BC) measures and respiratory symptoms. Methods: As part of the Prospective Urban and Rural Epidemiology Air Pollution study, we analyzed 48-h household and personal PM2.5 and BC measurements for 870 individuals using different cooking fuels from 62 communities in 8 countries (Bangladesh, Chile, China, Colombia, India, Pakistan, Tanzania, and Zimbabwe). Self-reported respiratory symptoms were collected after monitoring. Associations between PM2.5 and BC exposures and respiratory symptoms were examined using logistic regression models, controlling for individual, household, and community covariates. Results: The median (interquartile range) of household and personal PM2.5 was 73.5 (119.1) and 65.3 (91.5) μg/m3, and for household and personal BC was 3.4 (8.3) and 2.5 (4.9) x10−5 m−1, respectively. We observed associations between household PM2.5 and wheeze (OR: 1.25; 95%CI: 1.07, 1.46), cough (OR: 1.22; 95%CI: 1.06, 1.39), and sputum (OR: 1.26; 95%CI: 1.10, 1.44), as well as exposure to household BC and wheeze (OR: 1.20; 95%CI: 1.03, 1.39) and sputum (OR: 1.20; 95%CI: 1.05, 1.36), per IQR increase. We observed associations between personal PM2.5 and wheeze (OR: 1.23; 95%CI: 1.00, 1.50) and sputum (OR: 1.19; 95%CI: 1.00, 1.41). For household PM2.5 and BC, associations were generally stronger for females compared to males. Models using an indicator variable of solid versus clean fuels resulted in larger OR estimates with less precision. Conclusions: We used measurements of household and personal air pollution for individuals using different cooking fuels and documented strong associations with respiratory symptoms.
UR - http://www.scopus.com/inward/record.url?scp=85129707807&partnerID=8YFLogxK
U2 - 10.1016/j.envres.2022.113430
DO - 10.1016/j.envres.2022.113430
M3 - Artículo Científico
C2 - 35526584
AN - SCOPUS:85129707807
SN - 0013-9351
VL - 212
JO - Environmental Research
JF - Environmental Research
M1 - 113430
ER -