Premium
Modeling residential indoor concentrations of PM 2.5 , NO 2 , NO x , and secondhand smoke in the Subpopulations and Intermediate Outcome Measures in COPD (SPIROMICS) Air study
Author(s) -
Zusman Marina,
Gassett Amanda J.,
Kirwa Kipruto,
Barr R. Graham,
Cooper Christopher B.,
Han MeiLan K.,
Kanner Richard E.,
Koehler Kirsten,
Ortega Victor E.,
Paine rd Robert,
Paulin Laura,
Pirozzi Cheryl,
Rule Ana,
Hansel Nadia N.,
Kaufman Joel D.
Publication year - 2021
Publication title -
indoor air
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.387
H-Index - 99
eISSN - 1600-0668
pISSN - 0905-6947
DOI - 10.1111/ina.12760
Subject(s) - cohort , copd , environmental health , pollutant , environmental science , indoor air quality , medicine , nox , air pollution , particulates , nicotine , smoke , secondhand smoke , cohort study , environmental engineering , meteorology , chemistry , biology , ecology , geography , organic chemistry , combustion
Increased outdoor concentrations of fine particulate matter (PM 2.5 ) and oxides of nitrogen (NO 2 , NO x ) are associated with respiratory and cardiovascular morbidity in adults and children. However, people spend most of their time indoors and this is particularly true for individuals with chronic obstructive pulmonary disease (COPD). Both outdoor and indoor air pollution may accelerate lung function loss in individuals with COPD, but it is not feasible to measure indoor pollutant concentrations in all participants in large cohort studies. We aimed to understand indoor exposures in a cohort of adults (SPIROMICS Air, the SubPopulations and Intermediate Outcome Measures in COPD Study of Air pollution). We developed models for the entire cohort based on monitoring in a subset of homes, to predict mean 2‐week–measured concentrations of PM 2.5 , NO 2 , NO x , and nicotine, using home and behavioral questionnaire responses available in the full cohort. Models incorporating socioeconomic, meteorological, behavioral, and residential information together explained about 60% of the variation in indoor concentration of each pollutant. Cross‐validated R 2 for best indoor prediction models ranged from 0.43 (NO x ) to 0.51 (NO 2 ). Models based on questionnaire responses and estimated outdoor concentrations successfully explained most variation in indoor PM 2.5 , NO 2 , NO x , and nicotine concentrations.