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

被引:0
作者
Margaux Sanchez
Carles Milà
V. Sreekanth
Kalpana Balakrishnan
Sankar Sambandam
Mark Nieuwenhuijsen
Sanjay Kinra
Julian D. Marshall
Cathryn Tonne
机构
[1] Barcelona Institute for Global Health (ISGlobal),Department of Civil and Environmental Engineering
[2] Universitat Pompeu Fabra (UPF),Department of Environmental Health Engineering
[3] CIBER Epidemiología y Salud Pública (CIBERESP),Department of Non
[4] University of Washington,communicable Disease Epidemiology
[5] Sri Ramachandra University (SRU),undefined
[6] London School of Hygiene and Tropical Medicine,undefined
来源
Journal of Exposure Science & Environmental Epidemiology | 2020年 / 30卷
关键词
Black carbon; Peri-urban; Personal exposure; Exposure modeling; PM2.5; India;
D O I
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中图分类号
学科分类号
摘要
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.
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页码:596 / 605
页数:9
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