Erratum: “Estimated changesin life expectancy and adult mortality resulting from declining PM2.5 exposures in the contiguous United States:1980-2010" (Environ Health Perspect 125 (9):097003; 10.1289/EHP507);Estimated changes in life expectancy and adult mortality resulting from declining PM2:5 exposures in the contiguous United States: 1980–2010

Environmental Health Perspectives

Volumn 125, Issue 9, 2017, Pages

  Fann, Neal ^a   Kim, Sun Young ^b,c   Olives, Casey ^c   Sheppard, Lianne ^c  

^a U S ENVIRONMENTAL PROTECTION AGENCY   (United States)

^b Seoul National University   (South Korea)

^c UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AIR QUALITY; ARTICLE; HEALTH IMPACT ASSESSMENT; HUMAN; LIFE EXPECTANCY; MONTE CARLO METHOD; MORTALITY RATE; PARTICULATE MATTER; POPULATION EXPOSURE; POPULATION SIZE; PRIORITY JOURNAL; PUBLIC HEALTH; UNITED STATES; AIR POLLUTANT; AIR POLLUTION; ENVIRONMENTAL EXPOSURE; EPIDEMIOLOGY; FEMALE; MALE; MIDDLE AGED; MORTALITY; RISK FACTOR; STATISTICS AND NUMERICAL DATA; TRENDS;

AIR POLLUTANT;

ADULT; AIR POLLUTANTS; AIR POLLUTION; ENVIRONMENTAL EXPOSURE; FEMALE; HUMANS; LIFE EXPECTANCY; MALE; MIDDLE AGED; MORTALITY; RISK FACTORS; UNITED STATES;

EID: 85031775490     PISSN: 00916765     EISSN: 15529924     Source Type: Journal    
DOI: 10.1289/EHP3422     Document Type: Erratum

References (46)

1. Anenberg SC, Horowitz LW, Tong DQ, West JJ. 2010. An Estimate of the Global Burden of Anthropogenic Ozone and Fine Particulate Matter on Premature Human Mortality Using Atmospheric Modeling. Environ Health Perspect 118(9):1189–1195, PMID: 20382579, https://doi.org/10.1289/ehp.0901220.
2. Anenberg SC, Talgo K, Arunachalam S, Dolwick P, Jang C, West JJ. 2011. Impacts of global, regional, and sectoral black carbon emission reductions on surface air quality and human mortality. Atmos Chem Phys 11:7253–7267, https://doi.org/10.5194/acp-11-7253-2011.
3. Bachmann J. 2007. Will the Circle Be Unbroken: A History of the U.S. National Ambient Air Quality Standards. J Air Waste Manag Assoc 57(6):652–697, https://doi.org/10.3155/1047-3289.57.6.652.
4. Bell FC, Miller ML. 2005. Life Tables for the United States Social Security Area 1900-2100. Social Security Administration. https://www.ssa.gov/oact/NOTES/as120/LifeTables_Body.html [accessed 15 August 2016].
5. Brook RD, Rajagopalan S, Pope CA III, Brook JR, Bhatnagar A, Diez-Roux AV, et al. 2010. Particulate matter air pollution and cardiovascular disease: An update to the scientific statement from the American Heart Association. Circulation 121(21):2331–2378, PMID: 20458016, https://doi.org/10.1161/CIR. 0b013e3181dbece1.
6. Burnett RT, Pope CA, Ezzati M, Olives C, Lim SS, Mehta S, et al. 2014. An integrated risk function for estimating the global burden of disease attributable to ambient fine particulate matter exposure. Environ Health Perspec. 122(4):397–403, PMID: 24518036, https://doi.org/10.1289/ehp.1307049.
7. Byun D, Schere KL. 2006. Review of the governing equations, computational algorithms, and other components of the Models-3 Community Multiscale Air Quality (CMAQ) Modeling System. Appl Mech Rev 59(2):51–77, https://doi.org/10.1115/1.2128636.
8. Caiazzo F, Ashok A, Waitz IA, Yim SHL, Barrett SRH. 2013. Air pollution and early deaths in the United States. Part I: Quantifying the impact of major sectors in 2005. Atmos Environ 79:198–208, https://doi.org/10.1016/j.atmosenv.2013.05.081.
9. CDC. 2011. United States Life Tables, 2007. https://www.cdc.gov/nchs/data/nvsr/nvsr59/nvsr59_09.pdf [accessed 17 July 2017].
10. CDC WONDER Database (Centers for Disease Control and Prevention). Wide-ranging OnLine Data Epidemiologic Research (CDC WONDER) Data from Years 1980–2010. https://wonder.cdc.gov/[accessed 17 July 2017].
11. Chestnut LG, Mills DM. 2005. A fresh look at the benefits and costs of the US acid rain program. J Environ Manage 77(3):252–266, PMID: 16171931, https://doi.org/10.1016/j.jenvman.2005.05.014.
12. Correia AW, Pope CA, Dockery DW, Wang Y, Ezzati M, Dominici F. 2013. Effect of air pollution control on life expectancy in the United States: an analysis of 545 U.S. counties for the period from 2000 to 2007. Epidemiology 24(1):23–31, PMID: 23211349, https://doi.org/10.1097/EDE.0b013e3182770237.
13. Crouse DL, Peters PA, van Donkelaar A, Goldberg MS, Villeneuve PJ, Brion O, et al. 2012. Risk of nonaccidental and cardiovascular mortality in relation to long-term exposure to low concentrations of fine particulate matter: a Canadian national-level cohort study. Environ Health Perspect 120(5):708–714, PMID: 22313724, https://doi.org/10.1289/ehp.1104049.
14. Fann N, Lamson AD, Anenberg SC, Wesson K, Risley D, Hubbell BJ. 2011a. Estimating the national public health burden associated with exposure to ambient PM2.5 and ozone. Risk Anal 32(1):81–95, PMID: 21627672, https://doi.org/10. 1111/j.1539-6924.2011.01630.x.
15. Fann N, Roman HA, Fulcher CM, Gentile MA, Hubbell BJ, Wesson K, et al. 2011b. Maximizing health benefits and minimizing inequality: incorporating local-scale data in the design and evaluation of air quality policies. Risk Anal 31(6):908– 922, PMID: 21615761, https://doi.org/10.1111/j.1539-6924.2011.01629.x.
16. 5-related health benefits of emission reductions for 17 industrial, area and mobile emission sectors across the U.S. Environ Int 49:141–151, PMID: 23022875, https://doi.org/10.1016/j.envint. 2012.08.017.
17. Fann N, Fulcher CM, Baker K. 2013. The recent and future health burden of air pollution apportioned across U.S. sectors. Environ Sci Technol 47(8):3580–3589, PMID: 23506413, https://doi.org/10.1021/es304831q.
18. Hand J, Copeland S, Day D, Dillner A, Indresand H, Malm WC, et al. 2011. “Spatial and Seasonal Patterns and Temporal Variability of Haze and its Constituents in the United States Report V.” State Univ. Fort Collins. http://vista.cira.colostate.edu/Improve/spatial-and-seasonal-patterns-and-temporal-variability-of-haze-and-its-constituents-in-the-united-states-report-v-june-2011/[accessed 17 July 2017].
19. Health Effects Institute. 2003. Assessing Health Impact of Air Quality Regulations: Concepts and Methods for Accountability Research. https://www.health effects.org/publication/assessing-health-impact-air-quality-regulations-concepts-and-methods-accountability [accessed 17 July 2017].
20. Hubbell B, Fann N, Levy J. 2009a. Methodological considerations in developing local-scale health impact assessments: balancing national, regional, and local data. Air Qual Atmos Health 2(2):99–110, https://doi.org/10.1007/s11869-009-0037-z.
21. Hubbell BJ, Crume RV, Evarts DM, Cohen JM. 2009b. Policy Monitor: Regulation and Progress under the 1990 Clean Air Act Amendments. Rev Environ. Econ. Policy 4(1):122–138, https://doi.org/10.1093/reep/rep019.
22. Kim SY, Olives C, Sheppard L, Sampson PD, Larson TV, Keller JP, et al. 2017. Historical prediction modeling approach for estimating long-term concentrations of PM2.5 in cohort studies before the 1999 implementation of widespread monitoring. Environ Health Perspect 125(1):38–46, PMID: 27340825, https://doi.org/10.1289/EHP131.
23. Krewski D, Jerrett M, Burnett RT, Ma R, Hughes E, Shi Y, et al. 2009. “Extended Follow-Up and Spatial Analysis of the American Cancer Society Study Linking Particulate Air Pollution and Mortality.” 5-114–36. https://www.healtheffects.org/publication/extended-follow-and-spatial-analysis-american-cancer-society-study-linking-particulate [accessed 17 July 2017].
24. Levy JI, Greco SL, Spengler JD. 2002. The importance of population susceptibility for air pollution risk assessment: a case study of power plants near Washington, DC. Environ Health Perspect 110(12):1253–1260, PMID: 12460806, https://doi.org/10.1289/ehp.021101253.
25. Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, Adair-Rohani H, et al. 2012. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 380(9859):2224–2260, PMID: 23245609, https://doi.org/10.1016/S0140-6736(12) 61766-8.
26. Miller BG, Hurley JF. 2003. Life table methods for quantitative impact assessments in chronic mortality. J Epidemiol Community Health 57(3):200–206, PMID: 12594196, https://doi.org/10.1136/jech.57.3.200.
27. Nasari MM, Szyszkowicz M, Chen H, Crouse D, Turner MC, Jerrett M, et al. 2016. A class of non-linear exposure-response models suitable for health impact assessment applicable to large cohort studies of ambient air pollution. Air Qual Atmos Heal 9(8):961–972, https://doi.org/10.1007/s11869-016-0398-z.
28. NHGIS Database. National Historical Geographic Informat ion System. Version2.0. http://www.nhgis.org [accessed 2 December 2015].
29. Peters JM, Avol E, Gauderman WJ, Linn WS, Navidi W, London SJ, et al. 1999. A study of twelve Southern California communities with differing levels and types of air pollution: II. Effects on pulmonary function. Am J Respir Crit Care Med 159(3):768–775, PMID: 10051249, https://doi.org/10.1164/ajrccm.159.3.9804144.
30. Pope CA III, Burnett RT, Krewski D, Jerrett M, Shi Y, Calle EE, et al. 2009a. Cardiovascular mortality and exposure to airborne fine particulate matter and cigarette smoke: shape of the exposure-response relationship. Circulation 120(11):941–948, PMID: 19720932, https://doi.org/10.1161/CIRCULATIONAHA.109. 857888.
31. Pope CA III, Ezzati M, Dockery DW. 2009b. Fine-particulate air pollution and life expectancy in the United States. N Engl J Med 360(4):376–386, PMID: 19164188, https://doi.org/10.1056/NEJMsa0805646.
32. Schwartz J, Coull B, Laden F, Ryan L. 2008. The effect of dose and timing of dose on the association between airborne particles and survival. Environ Health Perspect 116(1):64–69, PMID: 18197301, https://doi.org/10.1289/ehp.9955.
33. 25 and Reconstructed Visibility from the IMPROVE Network. J. Air Waste Manage Assoc 50(5):775– 789, PMID: 28080835, https://doi.org/10.1080/10473289.2000.10464127.
34. U.S. EPA (U.S. Environmental Protection Agency). 1997. “The Benefits and Costs of the Clean Air Act, 1970 to 1990.” https://www.epa.gov/clean-air-act-overview/benefits-and-costs-clean-air-act.
35. U.S. EPA. 2009. “Integrated Science Assessment for Particulate Matter.” EPA/600/R-. http://ofmpub.epa.gov/eims/eimscomm.getfile?p_download_id=494959 [accessed 17 July 2017].
36. U.S. EPA. 2010. “Regulatory Impact Analysis for the Proposed Federal Transport Rule.” Docket ID No. EPA-HQ-OAR-2009-0491. http://www.epa.gov/ttn/ecas/regdata/RIAs/proposaltrria_final.pdf [accessed 17 July 2017].
37. U.S. EPA. 2011a. “Benefits and Costs of the Clean Air Act 1990-2020, the Second Prospective Study.” https://www.epa.gov/clean-air-act-overview/benefits-and-costs-clean-air-act-1990-2020-second-prospective-study [accessed 17 July 2017].
38. U.S. EPA. 2011b. “Regulatory Impact Assessment for Final Transport Rule.” https://www3.epa.gov/ttn/ecas/docs/ria/transport_ria_final-csapr_2011-06.pdf [accessed 17 July 2017].
39. U.S. EPA. 2011c. “Regulatory Impact Assessment for the Mercury and Air Toxics Standards.” https://www3.epa.gov/ttnecas1/regdata/RIAs/matsriafinal.pdf [accessed 17 July 2017].
40. U.S. EPA. 2012a. Integrated Planning Model Analysis for Mercury and Air Toxics Standards. http://www.epa.gov/airmarkets/progsregs/epa-ipm/toxics.html [accessed 17 July 2017].
41. U.S. EPA. 2012b. Regulatory Impact Assessment for the PM NAAQS RIA.
42. U.S. EPA. 2014a. “Control of Air Pollution from Motor Vehicles: Tier 3 Motor Vehicle Emission and Fuel Standards Final Rule.” https://www.epa.gov/regulations-emissions-vehicles-and-engines/final-rule-control-air-pollution-motor-vehicles-tier-3 [accessed 17 July 2017].
43. U.S. EPA. 2014b. “Regulatory Impact Analysis of the Proposed Revisions to the National Ambient Air Quality Standards for Ground-Level Ozone.” EPA-452/P-14-006. https://www3.epa.gov/ttnecas1/regdata/RIAs/20141125ria.pdf [accessed 17 July 2017].
44. U.S. EPA. 2016. Air Trends Report. https://gispub.epa.gov/air/trendsreport/2016/[accessed 17 July 2017].
45. Voorhees AS, Fann N, Fulcher C, Dolwick P, Hubbell B, Bierwagen B, et al. 2011. Climate change-related temperature impacts on warm season heat mortality: a proof-of-concept methodology using BenMAP. Environ Sci Technol 45(4):1450– 1457, PMID: 21247099, https://doi.org/10.1021/es102820y.
46. WHO (World Health Organization). 2013. Review of Evidence on Health Aspects of Air Pollution – REVIHAAP Project: Final Technical Report, PMID: 27195369. http://www.euro.who.int/__data/assets/pdf_file/0004/193108/REVIHAAP-F i n a l -technical-report-final-version.pdf?ua=1.