| Literature DB >> 33037695 |
Marina Zusman1, Amanda J Gassett1, Kipruto Kirwa1, R Graham Barr2, Christopher B Cooper3, MeiLan K Han4, Richard E Kanner5, Kirsten Koehler6, Victor E Ortega7, Robert Paine Rd8, Laura Paulin9, Cheryl Pirozzi10, Ana Rule6, Nadia N Hansel11, Joel D Kaufman1,12,13.
Abstract
Increased outdoor concentrations of fine particulate matter (PM2.5 ) and oxides of nitrogen (NO2 , NOx ) 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 PM2.5 , NO2 , NOx , 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 R2 for best indoor prediction models ranged from 0.43 (NOx ) to 0.51 (NO2 ). Models based on questionnaire responses and estimated outdoor concentrations successfully explained most variation in indoor PM2.5 , NO2 , NOx , and nicotine concentrations.Entities:
Keywords: air pollutants; exposure assessment; indoor exposure questionnaires; indoor monitoring; prediction modeling; residential behavior
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Year: 2020 PMID: 33037695 PMCID: PMC8202242 DOI: 10.1111/ina.12760
Source DB: PubMed Journal: Indoor Air ISSN: 0905-6947 Impact factor: 6.554