Personal exposure to particulate matter in peri-urban India: predictors and association with ambient concentration at residence

Scalable exposure assessment approaches that capture personal exposure to particles for purposes of epidemiology are currently limited, but valuable, particularly in low-/middle-income countries where sources of personal exposure are often distinct from those of ambient concentrations. We measured 2...

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Autores: Sanchez, Margaux, Milà, Carles, Sreekanth, V., Balakrishnan, Kalpana, Sambandam, Sankar, Nieuwenhuijsen, Mark J., Kinra, Sanjay, Marshall, Julian D., Tonne, Cathryn
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2019
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/42271
Acceso en línea:http://hdl.handle.net/10230/42271
http://dx.doi.org/10.1038/s41370-019-0150-5
Access Level:acceso abierto
Palabra clave:Black carbon
Peri-urban
Personal exposure
Exposure modeling
PM2.5
India
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spelling Personal exposure to particulate matter in peri-urban India: predictors and association with ambient concentration at residenceSanchez, MargauxMilà, CarlesSreekanth, V.Balakrishnan, KalpanaSambandam, SankarNieuwenhuijsen, Mark J.Kinra, SanjayMarshall, Julian D.Tonne, CathrynBlack carbonPeri-urbanPersonal exposureExposure modelingPM2.5IndiaScalable exposure assessment approaches that capture personal exposure to particles for purposes of epidemiology are currently limited, but valuable, particularly in low-/middle-income countries where sources of personal exposure are often distinct from those of ambient concentrations. We measured 2 × 24-h integrated personal exposure to PM2.5 and black carbon in two seasons in 402 participants living in peri-urban South India. Means (sd) of PM2.5 personal exposure were 55.1(82.8) µg/m3 for men and 58.5(58.8) µg/m3 for women; corresponding figures for black carbon were 4.6(7.0) µg/m3 and 6.1(9.6) µg/m3. Most variability in personal exposure was within participant (intra-class correlation ~20%). Personal exposure measurements were not correlated (Rspearman < 0.2) with annual ambient concentration at residence modeled by land-use regression; no subgroup with moderate or good agreement could be identified (weighted kappa ≤ 0.3 in all subgroups). We developed models to predict personal exposure in men and women separately, based on time-invariant characteristics collected at baseline (individual, household, and general time-activity) using forward stepwise model building with mixed models. Models for women included cooking activities and household socio-economic position, while models for men included smoking and occupation. Models performed moderately in terms of between-participant variance explained (38-53%) and correlations between predictions and measurements (Rspearman: 0.30-0.50). More detailed, time-varying time-activity data did not substantially improve the performance of the models. Our results demonstrate the feasibility of predicting personal exposure in support of epidemiological studies investigating long-term particulate matter exposure in settings characterized by solid fuel use and high occupational exposure to particles.The research leading to these results received funding from the European Research Council under ERC Grant Agreement number 336167 for the CHAI Project. The third wave of data collection and village socio-demographic surveys for the APCAPS study were funded by the Wellcome Trust (Grant 084674/Z). C.T. was funded through a Ramón y Cajal fellowship (RYC-2015–17402) awarded by the Spanish Ministry of Economy and Competitiveness. We thank all participants and study teams of the APCAPS and CHAI studies.Nature Research20192020info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/42271http://dx.doi.org/10.1038/s41370-019-0150-5reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésJ Expo Sci Environ Epidemiol. 2020; 30(4):596-605info:eu-repo/grantAgreement/EC/FP7/336167© Springer Nature Publishing AG. Sanchez M, Milà C, Sreekanth V, Balakrishnan K, Sambandam S, Nieuwenhuijsen M et al. Personal exposure to particulate matter in peri-urban India: predictors and association with ambient concentration at residence. J Expo Sci Environ Epidemiol. 2020; 30(4):596-605. DOI: 10.1038/s41370-019-0150-5info:eu-repo/semantics/openAccessoai:recercat.cat:10230/422712026-05-29T05:05:01Z
dc.title.none.fl_str_mv Personal exposure to particulate matter in peri-urban India: predictors and association with ambient concentration at residence
title Personal exposure to particulate matter in peri-urban India: predictors and association with ambient concentration at residence
spellingShingle Personal exposure to particulate matter in peri-urban India: predictors and association with ambient concentration at residence
Sanchez, Margaux
Black carbon
Peri-urban
Personal exposure
Exposure modeling
PM2.5
India
title_short Personal exposure to particulate matter in peri-urban India: predictors and association with ambient concentration at residence
title_full Personal exposure to particulate matter in peri-urban India: predictors and association with ambient concentration at residence
title_fullStr Personal exposure to particulate matter in peri-urban India: predictors and association with ambient concentration at residence
title_full_unstemmed Personal exposure to particulate matter in peri-urban India: predictors and association with ambient concentration at residence
title_sort Personal exposure to particulate matter in peri-urban India: predictors and association with ambient concentration at residence
dc.creator.none.fl_str_mv Sanchez, Margaux
Milà, Carles
Sreekanth, V.
Balakrishnan, Kalpana
Sambandam, Sankar
Nieuwenhuijsen, Mark J.
Kinra, Sanjay
Marshall, Julian D.
Tonne, Cathryn
author Sanchez, Margaux
author_facet Sanchez, Margaux
Milà, Carles
Sreekanth, V.
Balakrishnan, Kalpana
Sambandam, Sankar
Nieuwenhuijsen, Mark J.
Kinra, Sanjay
Marshall, Julian D.
Tonne, Cathryn
author_role author
author2 Milà, Carles
Sreekanth, V.
Balakrishnan, Kalpana
Sambandam, Sankar
Nieuwenhuijsen, Mark J.
Kinra, Sanjay
Marshall, Julian D.
Tonne, Cathryn
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Black carbon
Peri-urban
Personal exposure
Exposure modeling
PM2.5
India
topic Black carbon
Peri-urban
Personal exposure
Exposure modeling
PM2.5
India
description Scalable exposure assessment approaches that capture personal exposure to particles for purposes of epidemiology are currently limited, but valuable, particularly in low-/middle-income countries where sources of personal exposure are often distinct from those of ambient concentrations. We measured 2 × 24-h integrated personal exposure to PM2.5 and black carbon in two seasons in 402 participants living in peri-urban South India. Means (sd) of PM2.5 personal exposure were 55.1(82.8) µg/m3 for men and 58.5(58.8) µg/m3 for women; corresponding figures for black carbon were 4.6(7.0) µg/m3 and 6.1(9.6) µg/m3. Most variability in personal exposure was within participant (intra-class correlation ~20%). Personal exposure measurements were not correlated (Rspearman < 0.2) with annual ambient concentration at residence modeled by land-use regression; no subgroup with moderate or good agreement could be identified (weighted kappa ≤ 0.3 in all subgroups). We developed models to predict personal exposure in men and women separately, based on time-invariant characteristics collected at baseline (individual, household, and general time-activity) using forward stepwise model building with mixed models. Models for women included cooking activities and household socio-economic position, while models for men included smoking and occupation. Models performed moderately in terms of between-participant variance explained (38-53%) and correlations between predictions and measurements (Rspearman: 0.30-0.50). More detailed, time-varying time-activity data did not substantially improve the performance of the models. Our results demonstrate the feasibility of predicting personal exposure in support of epidemiological studies investigating long-term particulate matter exposure in settings characterized by solid fuel use and high occupational exposure to particles.
publishDate 2019
dc.date.none.fl_str_mv 2019
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/42271
http://dx.doi.org/10.1038/s41370-019-0150-5
url http://hdl.handle.net/10230/42271
http://dx.doi.org/10.1038/s41370-019-0150-5
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv J Expo Sci Environ Epidemiol. 2020; 30(4):596-605
info:eu-repo/grantAgreement/EC/FP7/336167
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Nature Research
publisher.none.fl_str_mv Nature Research
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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