TY - JOUR
T1 - Comparison of next-generation portable pollution monitors to measure exposure to PM2.5 from household air pollution in Puno, Peru
AU - HAPIN investigators
AU - Burrowes, Vanessa J.
AU - Piedrahita, Ricardo
AU - Pillarisetti, Ajay
AU - Underhill, Lindsay J.
AU - Fandiño-Del-Rio, Magdalena
AU - Johnson, Michael
AU - Kephart, Josiah L.
AU - Hartinger, Stella M.
AU - Steenland, Kyle
AU - Naeher, Luke
AU - Kearns, Katie
AU - Peel, Jennifer L.
AU - Clark, Maggie L.
AU - Checkley, William
AU - Nambajimana, Abidan
AU - Verma, Amit
AU - Lovvorn, Amy
AU - Diaz, Anaité
AU - Papageorghiou, Aris
AU - Toenjes, Ashley
AU - Quinn, Ashlinn
AU - Nizam, Azhar
AU - Ryan, Barry
AU - Young, Bonnie
AU - Barr, Dana
AU - Goodman, Dina
AU - Canuz, Eduardo
AU - Puzzolo, Elisa
AU - McCollum, Eric
AU - Mollinedo, Erick
AU - Majorin, Fiona
AU - Ndagijimana, Florien
AU - Rosa, Ghislaine
AU - Thangavel, Gurusamy
AU - Chang, Howard
AU - Fuentes, Irma Sayury Pineda
AU - Miranda, J. Jaime
AU - Ntivuguruzwa, Jean de Dieu
AU - Uwizeyimana, Jean
AU - Peel, Jennifer
AU - Sarnat, Jeremy
AU - Liao, Jiawen
AU - McCracken, John
AU - Rosenthal, Joshua
AU - Espinoza, Juan Gabriel
AU - Campbell, Julia Mc Peek
AU - Balakrishnan, Kalpana
AU - Williams, Kendra
AU - Smith, Kirk
AU - Davila-Roman, Victor G.
N1 - Funding Information:
The HAPIN trial and this pilot study are funded by the US National Institutes of Health (cooperative agreement 1UM1HL134590) in collaboration with the Bill & Melinda Gates Foundation [OPP1131279]. We would also like to thank the Fogarty International Center (UJMT FGHF Grant D43TW009340), the field research assistants from the Asociación Benéfica PRISMA and study participants in Puno, Peru, for their contributions to this research. Finally, we would like to extend a special thank you to Elena Rosa Morales‐Hinojosa for her significant contributions and attention to quality throughout this pilot study. A multidisciplinary, independent Data and Safety Monitoring Board (DSMB) appointed by the National Heart, Lung, and Blood Institute (NHLBI) monitors the quality of the data and protects the safety of patients enrolled in the HAPIN trial. NHLBI DSMB: Nancy R. Cook, Sc.D.; Stephen Hecht, PhD; Catherine Karr, MD, PhD; Katie H. Kavounis, MPH; Dong‐Yun Kim, PhD; Joseph Millum, PhD; Lora A. Reineck, MD, MS; Nalini Sathiakumar, MD, DrPH; Paul K. Whelton, MD; Gail G. Weinmann, MD Program Coordination: Gail Rodgers, MD, Bill & Melinda Gates Foundation; Claudia L. Thompson, PhD National Institute of Environmental Health Science (NIEHS); Mark J. Parascandola, PhD, MPH, National Cancer Institute (NCI); Danuta M. Krotoski, PhD, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD); Joshua P. Rosenthal, PhD Fogarty International Center (FIC), Conception R. Nierras, PhD NIH Office of Strategic Coordination Common Fund; Antonello Punturieri, MD, PhD and Barry S. Schmetter, National Heart, Lung, and Blood Institute (NHLBI). The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the US National Institutes of Health or Department of Health and Human Services. None of the authors have conflicts of interest to declare.
Funding Information:
The HAPIN trial and this pilot study are funded by the US National Institutes of Health (cooperative agreement 1UM1HL134590) in collaboration with the Bill & Melinda Gates Foundation [OPP1131279]. We would also like to thank the Fogarty International Center (UJMT FGHF Grant D43TW009340), the field research assistants from the Asociaci?n Ben?fica PRISMA and study participants in Puno, Peru, for their contributions to this research. Finally, we would like to extend a special thank you to Elena Rosa Morales-Hinojosa for her significant contributions and attention to quality throughout this pilot study. A multidisciplinary, independent Data and Safety Monitoring Board (DSMB) appointed by the National Heart, Lung, and Blood Institute (NHLBI) monitors the quality of the data and protects the safety of patients enrolled in the HAPIN trial. NHLBI DSMB: Nancy R. Cook, Sc.D.; Stephen Hecht, PhD; Catherine Karr, MD, PhD; Katie H. Kavounis, MPH; Dong-Yun Kim, PhD; Joseph Millum, PhD; Lora A. Reineck, MD, MS; Nalini Sathiakumar, MD, DrPH; Paul K. Whelton, MD; Gail G. Weinmann, MD Program Coordination: Gail Rodgers, MD, Bill & Melinda Gates Foundation; Claudia L. Thompson, PhD National Institute of Environmental Health Science (NIEHS); Mark J. Parascandola, PhD, MPH, National Cancer Institute (NCI); Danuta M. Krotoski, PhD, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD); Joshua P. Rosenthal, PhD Fogarty International Center (FIC), Conception R. Nierras, PhD NIH Office of Strategic Coordination Common Fund; Antonello Punturieri, MD, PhD and Barry S. Schmetter, National Heart, Lung, and Blood Institute (NHLBI). The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the US National Institutes of Health or Department of Health and Human Services. None of the authors have conflicts of interest to declare.
Publisher Copyright:
© 2020 The Authors. Indoor Air published by John Wiley & Sons Ltd
PY - 2020/5/1
Y1 - 2020/5/1
N2 - Assessment of personal exposure to PM2.5 is critical for understanding intervention effectiveness and exposure-response relationships in household air pollution studies. In this pilot study, we compared PM2.5 concentrations obtained from two next-generation personal exposure monitors (the Enhanced Children MicroPEM or ECM; and the Ultrasonic Personal Air Sampler or UPAS) to those obtained with a traditional Triplex Cyclone and SKC Air Pump (a gravimetric cyclone/pump sampler). We co-located cyclone/pumps with an ECM and UPAS to obtain 24-hour kitchen concentrations and personal exposure measurements. We measured Spearmen correlations and evaluated agreement using the Bland-Altman method. We obtained 215 filters from 72 ECM and 71 UPAS co-locations. Overall, the ECM and the UPAS had similar correlation (ECM ρ = 0.91 vs UPAS ρ = 0.88) and agreement (ECM mean difference of 121.7 µg/m3 vs UPAS mean difference of 93.9 µg/m3) with overlapping confidence intervals when compared against the cyclone/pump. When adjusted for the limit of detection, agreement between the devices and the cyclone/pump was also similar for all samples (ECM mean difference of 68.8 µg/m3 vs UPAS mean difference of 65.4 µg/m3) and personal exposure samples (ECM mean difference of −3.8 µg/m3 vs UPAS mean difference of −12.9 µg/m3). Both the ECM and UPAS produced comparable measurements when compared against a cyclone/pump setup.
AB - Assessment of personal exposure to PM2.5 is critical for understanding intervention effectiveness and exposure-response relationships in household air pollution studies. In this pilot study, we compared PM2.5 concentrations obtained from two next-generation personal exposure monitors (the Enhanced Children MicroPEM or ECM; and the Ultrasonic Personal Air Sampler or UPAS) to those obtained with a traditional Triplex Cyclone and SKC Air Pump (a gravimetric cyclone/pump sampler). We co-located cyclone/pumps with an ECM and UPAS to obtain 24-hour kitchen concentrations and personal exposure measurements. We measured Spearmen correlations and evaluated agreement using the Bland-Altman method. We obtained 215 filters from 72 ECM and 71 UPAS co-locations. Overall, the ECM and the UPAS had similar correlation (ECM ρ = 0.91 vs UPAS ρ = 0.88) and agreement (ECM mean difference of 121.7 µg/m3 vs UPAS mean difference of 93.9 µg/m3) with overlapping confidence intervals when compared against the cyclone/pump. When adjusted for the limit of detection, agreement between the devices and the cyclone/pump was also similar for all samples (ECM mean difference of 68.8 µg/m3 vs UPAS mean difference of 65.4 µg/m3) and personal exposure samples (ECM mean difference of −3.8 µg/m3 vs UPAS mean difference of −12.9 µg/m3). Both the ECM and UPAS produced comparable measurements when compared against a cyclone/pump setup.
KW - exposure assessment
KW - fine particulate matter
KW - household air pollution
KW - instrument validation
KW - lower- and middle-income countries
KW - personal exposure
UR - http://www.scopus.com/inward/record.url?scp=85078657173&partnerID=8YFLogxK
U2 - 10.1111/ina.12638
DO - 10.1111/ina.12638
M3 - Article
C2 - 31885107
AN - SCOPUS:85078657173
SN - 0905-6947
VL - 30
SP - 445
EP - 458
JO - Indoor Air
JF - Indoor Air
IS - 3
ER -