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Open Access 01-12-2019 | Research article

Assessment of personal exposure to particulate air pollution: the first result of City Health Outlook (CHO) project

Authors: Lu Liang, Peng Gong, Na Cong, Zhichao Li, Yu Zhao, Ying Chen

Published in: BMC Public Health | Issue 1/2019

Abstract

Background

To mitigate air pollution-related health risks and target interventions towards the populations bearing the greatest risks, the City Health Outlook (CHO) project aims to establish multi-scale, long-lasting, real-time urban environment and health monitoring networks. A major goal of CHO is to collect data of personal exposure to particulate air pollution through a full profile that consists of a matrix of activities and micro-environments. As the first paper of a series, this paper is targeted at illustrating the characteristics of the participants and examining the effects of different covariates on personal exposure at various air pollution exposure levels.

Methods

In the first campaign, volunteers are recruited to wear portable environmental sensors to record their real-time personal air pollution exposure and routes. After a web-based social media recruitment strategy, 50 eligible subjects joined the first campaign in Beijing from January 8 to January 20, 2018. The mean personal exposures were measured at 19.36, 37.65, and 43.45 μg/m³ for particulate matter (PM) with a diameter less than 1, 2.5, and 10 μm, respectively, albeit with the high spatial-temporal variations.

Results

Unequal distribution of exposures was observed in the subjects with different sociodemographic status, travel behavior, living and health conditions. Quantile regression analysis reveals that subjects who are younger, less educated, exposed to passive smoking, low to middle household income, overweight, without ventilation system at home or office, and do not possess private vehicles, are more susceptible to PM pollution. The differences, however, are generally insignificant at low exposure levels and become evident on bad air quality days.

Conclusions

The heterogeneity in personal exposure found in this the first CHO campaign highlighted the importance of studying the pollution exposure at the individual scale. It is at the critical stage to bridge the knowledge gap of environmental inequality in different populations, which can lead to great health implications.

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Yang J, Siri JG, Remais JV, Cheng Q, Zhang H, Chan KK, Sun Z, Zhao Y, Cong N, Li X, Zhang W. The Tsinghua–lancet commission on healthy cities in China: unlocking the power of cities for a healthy China. Lancet. 2018;391. https://doi.org/10.1016/S0140-6736(18)30486-0.CrossRef

National Bureau of Statistics of China. China's total population and structural changes in 2011. http://www.stats.gov.cn/english/NewsEvents/201201/t20120120_26564.html. Accessed 08 May 2019.

Chen Q, Dietzenbacher E, Los B. The effects of ageing and urbanisation on China’s future rural and urban populations. Asian population study. 2017;13. https://doi.org/10.1080/17441730.2017.1286071.CrossRef

Filippelli G, Gong P. Aspiring toward healthy cities in China. Eos, 99. 2018. https://doi.org/10.1029/2018EO098035. Accessed 08 May 2019.

Götschi T, Heinrich J, Sunyer J, Künzli N. Long-term effects of ambient air pollution on lung function: a review. Epidemiology. 2008;19:5. https://doi.org/10.1097/EDE.0b013e318181650f.CrossRef

Huang J, Pan X, Guo X, Li G. Impacts of air pollution wave on years of life lost: a crucial way to communicate the health risks of air pollution to the public. Environ Int. 2018;113. https://doi.org/10.1016/j.envint.2018.01.022.CrossRef

Health Effects Institute. State of Global Air. Special Report. Boston, MA: Health Effects Institute; 2018. p. 2018.

Marshall JD, Swor KR, Nguyen NP. Prioritizing environmental justice and equality: diesel emissions in Southern California. Environ Sci Technol. 2014;48(7). https://doi.org/10.1021/es405167f.CrossRef

Sun C, Kahn ME, Zheng S. Self-protection investment exacerbates air pollution exposure inequality in urban China. Ecol Econ. 2017;131. https://doi.org/10.1016/j.ecolecon.2016.06.030.CrossRef

10.

Knibbs LD, de Dear RJ. Exposure to ultrafine particles and PM_2.5 in four Sydney transport modes. Atmos Environ. 2010;44(26):3224–7. https://doi.org/10.1016/j.atmosenv.2010.05.026.CrossRef

11.

Martins V, Moreno T, Minguillón MC, Amato F, de Miguel E, Capdevila M, Querol X. Exposure to airborne particulate matter in the subway system. Sci Total Environ. 2015;511:711–22. https://doi.org/10.1016/j.scitotenv.2014.12.013.CrossRef

12.

Ngoc L, Kim M, Bui V, Park D, Lee YC. Particulate matter exposure of passengers at bus stations: a review. Int J Environ Res Public Health. 2018;15(12):2886. https://doi.org/10.3390/ijerph15122886.CrossRef

13.

Okokon EO, Yli-Tuomi T, Turunen AW, Taimisto P, Pennanen A, Vouitsis I, Samaras Z, Voogt M, Keuken M, Lanki T. Particulates and noise exposure during bicycle, bus and car commuting: a study in three European cities. Environ Res. 2017;154:181–9. https://doi.org/10.1016/j.envres.2016.12.012.CrossRefPubMed

14.

Nieuwenhuijsen MJ, Donaire-Gonzalez D, Foraster M, Martinez D, Cisneros A. Using personal sensors to assess the exposome and acute health effects. Int J Environ Res Public Health. 2014;11(8). https://doi.org/10.3390/ijerph110807805.CrossRef

15.

Peng RD, Bell ML. Spatial misalignment in time series studies of air pollution and health data. Biostatistics. 2010;11(4). https://doi.org/10.1093/biostatistics/kxq017.CrossRef

16.

Dias D, Tchepel O. Spatial and temporal dynamics in air pollution exposure assessment. Int J Environ Res Public Health. 2018;15(3). https://doi.org/10.3390/ijerph15030558.

17.

Buchinsky M. Changes in the US wage structure 1963-1987: application of quantile regression. Econometrica: Journal of the Econometric Society. 1994. https://doi.org/10.2307/2951618.CrossRef

18.

Cade BS, Noon BR. A gentle introduction to quantile regression for ecologists. Front Ecol Environ. 2003;1(8). https://doi.org/10.1890/1540-9295(2003)001[0412:AGITQR]2.0.CO;2.CrossRef

19.

Tonne C, Elbaz A, Beevers S, Singh-Manoux A. Traffic-related air pollution in relation to cognitive function in older adults. Epidemiology (Cambridge, Mass). 2014;25:5 https://doi.org/10.1097/EDE.0000000000000144.CrossRef

20.

Koenker R, Hallock KF. Quantile regression. J Econ Perspect. 2001;15(4). https://doi.org/10.1257/jep.15.4.143.CrossRef

21.

Tonne C, Milà C, Fecht D, Alvarez M, Gulliver J, Smith J, Beevers S, Anderson HR, Kelly F. Socioeconomic and ethnic inequalities in exposure to air and noise pollution in London. Environ Int. 2018;115. https://doi.org/10.1016/j.envint.2018.03.023.CrossRef

22.

World Health Organization. Air quality guidelines: global update 2005. World Health Organization: 2006. https://www.who.int/phe/health_topics/outdoorair/outdoorair_aqg/en/. Accessed 08 May 2019.

23.

Feinstein L, Sabates R, Anderson TM, Sorhaindo A, Hammond C. What are the effects of education on health. In proceedings of the Copenhagen symposium "measuring the effects of education on health and civic engagement”. 2006.

24.

Graff Zivin J, Neidell M. Environment, health, and human capital. J Econ Lit. 2013;51:3. https://doi.org/10.3386/w18935.CrossRef

25.

Hajat A, Hsia C, O’Neill MS. Socioeconomic disparities and air pollution exposure: a global review. Curr Environ Health Rep. 2015;2:4. https://doi.org/10.1007/s40572-015-0069-5.CrossRef

26.

Cepeda M, Schoufour J, Freak-Poli R, Koolhaas CM, Dhana K, Bramer WM, Franco OH. Levels of ambient air pollution according to mode of transport: a systematic review. Lancet Public Health. 2017;2:1. https://doi.org/10.1016/S2468-2667(16)30021-4.CrossRef

27.

Chaney RA, Sloan CD, Cooper VC, Robinson DR, Hendrickson NR, McCord TA, Johnston JD. Personal exposure to fine particulate air pollution while commuting: an examination of six transport modes on an urban arterial roadway. PLoS One. 2017;12(11):e0188053. https://doi.org/10.1371/journal.pone.0188053.CrossRefPubMedPubMedCentral

28.

Wang W, Maenhaut W, Yang W, Liu X, Bai Z, Zhang T, Claeys M, Cachier H, Dong S, Wang Y. One–year aerosol characterization study for PM₂₅ and PM₁₀ in Beijing. Atmospheric Pollution Research. 2014;5(3). https://doi.org/10.5094/APR.2014.064.CrossRef

29.

Laumbach R, Meng Q, Kipen H. What can individuals do to reduce personal health risks from air pollution? J Thoracic Dis. 2015;7:1. https://doi.org/10.3978/j.issn.2072-1439.2014.12.21.CrossRef

30.

Daly BJ, Schmid K, Riediker M. Contribution of fine particulate matter sources to indoor exposure in bars, restaurants, and cafes. Indoor Air. 2010;20(3). https://doi.org/10.1111/j.1600-0668.2010.00645.x.CrossRef

31.

Trompetter WJ, Boulic M, Ancelet T, Garcia-Ramirez JC, Davy PK, Wang Y, Phipps R. The effect of ventilation on air particulate matter in school classrooms. J Building Engineering. 2018;18. https://doi.org/10.1016/j.jobe.2018.03.009.CrossRef

32.

Cohen AJ, Brauer M, Burnett R, Anderson HR, Frostad J, Estep K, Balakrishnan K, Brunekreef B, Dandona L, Dandona R, Feigin V. Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the global burden of diseases study 2015. Lancet. 2017;389(10082). https://doi.org/10.1016/S0140-6736(17)30505-6.CrossRef

33.

Barreto M, Kislaya I, Gaio V, Rodrigues AP, Santos AJ, Namorado S, Antunes L, Gil AP, Boavida JM, Ribeiro RT, Silva AC. Prevalence, awareness, treatment and control of diabetes in Portugal: results from the first National Health Examination Survey (INSEF 2015). Diabetes Res Clin Pract. 2018;140. https://doi.org/10.1016/j.diabres.2018.03.052.CrossRef

34.

Cherrie JW. How important is personal exposure assessment in the epidemiology of air pollutants. BMJ J Occup Environ Med. 2002;59:10. https://doi.org/10.1136/oem.59.10.653.CrossRef

35.

Bell ML, Zanobetti A, Dominici F. Evidence on vulnerability and susceptibility to health risks associated with short-term exposure to particulate matter: a systematic review and meta-analysis. Am J Epidemiol. 2013;178(6). https://doi.org/10.1093/aje/kwt090.CrossRef

36.

Smith RB, Fecht D, Gulliver J, Beevers SD, Dajnak D, Blangiardo M, Ghosh RE, Hansell AL, Kelly FJ, Anderson HR, Toledano MB. Impact of London's road traffic air and noise pollution on birth weight: retrospective population based cohort study. BMJ. 2017;359. https://doi.org/10.1136/bmj.j5299.

37.

Hackshaw A. Small studies: strengths and limitations. Eur Respir J. 2008;32. https://doi.org/10.1183/09031936.00136408.CrossRef

38.

Dons E, Laeremans M, Orjuela JP, Avila-Palencia I, Carrasco-Turigas G, Cole-Hunter T, Anaya-Boig E, Standaert A, De Boever P, Nawrot T, Götschi T. Wearable sensors for personal monitoring and estimation of inhaled traffic-related air pollution: evaluation of methods. Environ Sci Technol. 2017;51:3. https://doi.org/10.1021/acs.est.6b05782.CrossRef

39.

Dons E, Panis LI, Van Poppel M, Theunis J, Wets G. Personal exposure to black carbon in transport microenvironments. Atmos Environ. 2012;55. https://doi.org/10.1016/j.atmosenv.2012.03.020.CrossRef

40.

Johnson T. A guide to selected algorithms, distributions, and databases used in exposure models developed by the office of air quality planning and standards. Research Triangle Park, NC, US. Environmental Protection Agency, Office of Research and Development. 2002.

41.

Hart CK. Theory and evaluation of a new physiologic sampling pump. Seattle: Department of Environmental Health, University of Washington; 1999. p. 1998.

42.

Zuurbier M, Hoek G, Van den Hazel P, Brunekreef B. Minute ventilation of cyclists, car and bus passengers: an experimental study. Environ Health. 2009;8:1. https://doi.org/10.1186/1476-069X-8-48.CrossRef

43.

Adams WC. Measurement of breathing rate and volume in routinely performed daily activities: final report, contract no. A033–205. Sacramento: California Environmental Protection Agency, Air Resources Board, Research Division; 1993.

44.

Greenwald R, Hayat MJ, Barton J, Lopukhin A. A novel method for quantifying the inhaled dose of air pollutants based on heart rate, breathing rate and forced vital capacity. PLoS One. 2016;11(1). https://doi.org/10.1371/journal.pone.0147578.CrossRef

45.

Castell N, Dauge FR, Schneider P, Vogt M, Lerner U, Fishbain B, Broday D, Bartonova A. Can commercial low-cost sensor platforms contribute to air quality monitoring and exposure estimates? Environ Int. 2017;99:293–302. https://doi.org/10.1016/j.envint.2016.12.007.CrossRefPubMed

Title: Assessment of personal exposure to particulate air pollution: the first result of City Health Outlook (CHO) project
Authors: Lu Liang
Peng Gong
Na Cong
Zhichao Li
Yu Zhao
Ying Chen
Publication date: 01-12-2019
Publisher: BioMed Central
Published in: BMC Public Health / Issue 1/2019
Electronic ISSN: 1471-2458
DOI: https://doi.org/10.1186/s12889-019-7022-8

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Springer Medicine

Assessment of personal exposure to particulate air pollution: the first result of City Health Outlook (CHO) project

Abstract

Background

Methods

Results

Conclusions

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

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