4.8 Article

Determinants of personal exposure to PM2.5 and black carbon in Chinese adults: A repeated-measures study in villages using solid fuel energy

期刊

ENVIRONMENT INTERNATIONAL
卷 146, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.envint.2020.106297

关键词

Air pollution; Energy; Household air pollution; Repeated measures

资金

  1. Wellcome Trust, UK [103906/Z/14/Z]
  2. National Natural Science Foundation of China, China [81473044, 51521005]
  3. Canadian Institutes for Health Research [137535]
  4. Fonds de la recherche en sante du Quebec, Canada
  5. MRC [MR/S020810/1, MR/S020810/2, MR/S019669/1] Funding Source: UKRI
  6. NERC [NE/N007018/1, NE/S006729/1, NE/S006729/2] Funding Source: UKRI

向作者/读者索取更多资源

The study found that in settings of household solid fuel use, individual variability in exposure to air pollution is mainly dominated by differences within participants. Outdoor PM2.5 is the main variable affecting within-participant exposure, while household fuel use and smoking status explain between-participant variability. This suggests that reductions in air pollution exposure require simultaneous efforts to reduce both outdoor and indoor sources.
Exposure to air pollution is a leading health risk factor. The variance components and contributions of indoor versus outdoor source determinants of personal exposure to air pollution are poorly understood, especially in settings of household solid fuel use. We conducted a panel study with up to 4 days of repeated measures of integrated gravimetric personal exposure to PM2.5 and black carbon in 787 men and women (ages 40-79) living in peri-urban villages in northern (Beijing and Shanxi) and southern (Guangxi) China. We simultaneously measured outdoor PM2.5 and collected questionnaire data on sociodemographic characteristics and indoor pollution sources including tobacco smoking and solid fuel stove use. We obtained over 2000 days of personal exposure monitoring which showed higher exposures in the heating season (geometric mean (GM): 108 versus 65 mu g/m(3) in the non-heating season for PM2.5) and among northern participants (GM: 90 versus 59 mu g/m(3) in southern China in the non-heating season for PM2.5). We used mixed-effects models to estimate within- and between-participant variance components and to assess the determinants of exposures. Within-participant variance in exposure dominated the total variability (68-95%). Outdoor PM2.5 was the dominant variable for explaining within-participant variance in exposure to PM2.5 (16%). Household fuel use (PM2.5: 8%; black carbon: 10%) and smoking status (PM2.5: 27%; black carbon: 5%) explained the most between-participant variance. Indoor sources (solid fuel stoves, tobacco smoking) were associated with 13-30% higher exposures to air pollution and each 10 mu g/m(3) increase in outdoor PM2.5 was associated with 6-8% higher exposure. Our findings indicate that repeated measurements of daily exposure are likely needed to capture longer-term exposures in settings of household solid fuel use, even within a single season, and that reducing air pollution from both outdoor and indoor sources is likely needed to achieve measurable reductions in exposures to air pollution.

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