The impact of smoking, overweight, and fine particulate matter air pollution on life expectancy: Estimations with county-level matched data for Germany

Aloys Leo Prinz; David Johannes Richter

doi:10.29333/ejeph/12681

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Aloys Leo Prinz ¹ ^* , David Johannes Richter ¹

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¹ Department of Business and Economics, Institute of Public Economics, University of Muenster, Muenster, GERMANY^* Corresponding Author

Abstract

Smoking and overweight are well-known factors that shorten life expectancy. While these factors are seemingly controllable by the individual, risks from fine particulate matter pollution are less so. In this paper, these risks are studied with novel micro data at the county level for Germany and for the years 1999 to 2017. A matching approach is used to control for relevant differences between the counties. Unexpectedly, fine particulate matter pollution is not found to have a direct effect on life expectancy, when controlling for relevant covariates with the matching estimation model. In contrast, it had just such a negative effect in the robustness check and extensions with an OLS model. These additional OLS estimations provide evidence of a moderating effect of particulate matter pollution on the effects of smoking and overweight with respect to life expectancy.

Keywords

smoking
overweight
air pollution
life expectancy
matched data
Germany

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

EUR J ENV PUBLIC HLT, 2023, Volume 7, Issue 2, Article No: em0130

https://doi.org/10.29333/ejeph/12681

Publication date: 01 Apr 2023

Online publication date: 05 Dec 2022

Article Views: 700

Article Downloads: 848

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References

GBD 2019 Risk Factors Collaborators. Global burden of 87 risk factors in 204 countries and territories, 1990-2019: A systematic analysis for the Global Burden of Disease Study 2019. Lancet. 2020;396(10258):1223-49. https://doi.org/10.1016/S0140-6736(20)30752-2 PMid:33069327
Rizzuto D, Fratiglioni L. Lifestyle factors related to mortality and survival: A mini-review. Gerontology. 2014;60(4):327-35. https://doi.org/10.1159/000356771 PMid:24557026
Keeney RL. Personal decisions are the leading cause of death. Oper Res. 2008;56(6):1335-47. https://doi.org/10.1287/opre.1080.0588
Finkelstein A, Gentzkow M, Williams H. Place-based drivers of mortality: Evidence from migration. Am Econ Rev. 2021;111(8):2697-735. https://doi.org/10.1257/aer.20190825 PMid:34887592 PMCid:PMC8653912
Prinz A, Richter DJ. Feinstaubbelastung und Lebenserwartung in Deutschland [Particulate matter pollution and life expectancy in Germany]. AStA Wirtsch Sozialstat Arch. 2021;15:237-72. https://doi.org/10.1007/s11943-021-00292-1
Barabási A-L. Network medicine—from obesity to the “diseasome”. N Engl J Med. 2007;357(4):404-7. https://doi.org/10.1056/NEJMe078114 PMid:17652657
Goh K-I, Cusick ME, Valle D, Barabási A-L. The human disease network. PNAS. 2007;104(21):8685-90. https://doi.org/10.1073/pnas.0701361104 PMid:17502601 PMCid:PMC1885563
Loscalzo J, Kohane I, Barabási A-L. Human disease classification in the postgenomic era: A complex systems approach to human pathobiology. Mol Syst Biol. 2007;3:124. https://doi.org/10.1038/msb4100163 PMid:17625512 PMCid:PMC1948102
Nussfelder WJ, Valverde JR. Impact of individual risk factors on German life expectancy. Erasmus MC, Rotterdam. 2018. Available at: https://www.gdv.de/resource/blob/35298/1b80120a041c3ef97315726ac9ebe226/download-studie-lebenszeitkiller-rotterdam-data.pdf (Accessed 20 January 2022).
Lampert T, Hoebel J, Kroll LE. Social differences in mortality and life expectancy in Germany. Current situation and trends. J Health Monit. 2019;4(1):3-14. https://doi.org/10.25646/5872 PMid:35586309 PMCid:PMC8848850
Lampert T, Kroll LE, von der Lippe E, Müters S, Stolzenberg H. Sozioökonomischer Status und Gesundheit [Socio-economic status and health]. Bundesgesundheitsblatt. 2013;56:814-21. https://doi.org/10.1007/s00103-013-1695-4 PMid:23703503
Chetty R, Stepner M, Abraham S, et al. The association between income and life expectancy in the United States, 2001-2014. JAMA. 2016;315(16):1750-66. https://doi.org/10.1001/jama.2016.4226 PMid:27063997 PMCid:PMC4866586
Wengler A, Rommel A, Plaß D, et al. Years of life lost to death. Dtsch Arztebl Int. 2021;118(9):137-44. https://doi.org/10.3238/arztebl.m2021.0148 PMid:33958031 PMCid:PMC8212398
Rau R, Schmertmann CP. District-level life expectancy in Germany. Dtsch Arztebl Int. 2020;117(29-30):493-9. https://doi.org/10.3238/arztebl.2020.0493 PMid:33087229 PMCid:PMC7588608
Prinz AL, Richter DJ. Long-term exposure to fine particulate matter and air pollution: An ecological study of its effect on COVID-19 cases and fatality. Environ Res. 2022;204(Pt A):111948. https://doi.org/10.1016/j.envres.2021.111948 PMid:34464613 PMCid:PMC8400616
von Bertalanffy L. The theory of open system in physics and biology. Sci. 1950;111(2872):23-9. https://doi.org/10.1126/science.111.2872.23 PMid:15398815
The Academy of Medical Sciences. Identifying the environmental causes of disease: How should we decide what to believe and when to take action? Academy of Medical Sciences. 2007. Available at: https://acmedsci.ac.uk/file-download/34654-119615475058.pdf (Accessed 20 January 2022).
Hill AB. The environment and disease: Association or causation? Proc R Soc Med. 1965;58(5):295-300. https://doi.org/10.1177/003591576505800503 PMid:14283879 PMCid:PMC1898525
Jaeger H. Multifunctionality: A fundamental property of behavior mechanisms based on dynamical systems. In: Pfeifer R, Blumberg B, Meyer J-A, Wilson SW, editors. From animals to animats 5: Proceedings of the 5^th International Conference on Simulation of Adaptive Behavior. Cambridge, MA: MIT Press; 1998. p. 286-90.
Pope III, CA. Epidemiology of fine particulate air pollution and human health: Biological mechanism and who’s at risk? Environ Health Perspect. 2000;108(Suppl 4):713-23. https://doi.org/10.1289/ehp.108-1637679 PMid:10931790 PMCid:PMC1637679
Anderson JO, Thundiyil JG, Stolbach A. Clearing the air: A review of the effects of particulate matter air pollution on human health. J Med Toxicol. 2012;8(2):166-75. https://doi.org/10.1007/s13181-011-0203-1 PMid:22194192 PMCid:PMC3550231
Hamanaka RB, Mutlu GM. Particular matter air pollution: Effects on the cardiovascular system. Front Endocrinol (Lausanne). 2018;9:680. https://doi.org/10.3389/fendo.2018.00680 PMid:30505291 PMCid:PMC6250783
Losacco C, Perillo A. Particulate matter air pollution and respiratory impact on humans and animals. Environ Sci Pollut Res. 2018;25(34):33901-10. https://doi.org/10.1007/s11356-018-3344-9 PMid:30284710
Lelieveld S, Wilson J, Dovrou E, et al. Hydroxyl radical production by air pollutants in epithelial lining fluid governed by interconversion and scavenging of reactive oxygen species. Environ Sci Technol. 2021;55(20):14069-79. https://doi.org/10.1021/acs.est.1c03875 PMid:34609853 PMCid:PMC8529872
Braun M, Fromm E-L, Gerber A, Klingelhöfer D, Müller R, Groneberg DA. Particulate matter emission of four types of one cigarette brand with and without additives: A laser spectrometric particulate matter analysis of secondhand smoke. BMJ Open. 2019; 9(1):e024400. https://doi.org/10.1136/bmjopen-2018-024400 PMid:30782733 PMCid:PMC6340634
Bhaskaran K, Dos-Santos-Silva I, Leon DA, Douglas IJ, Smeeth L. Association of BMI with overall and cause-specific mortality: A population-based cohort study 3.6 million adults in the UK. Lancet Diabetes Endocrinol. 2018;6(12):944-53. https://doi.org/10.1016/S2213-8587(18)30288-2 PMid:30389323
Darden M, Gilleskie DB, Strumpf K. Smoking and mortality: New evidence from a long panel. Int Econ Rev (Philadelphia). 2018;59(3):1571-619. https://doi.org/10.1111/iere.12314 PMid:31274880 PMCid:PMC6608712
Janssen F. The role of smoking in country differences in life expectancy across Europe, 1985-2014. Nicotine Tob Res. 2021;23(1):152-60. https://doi.org/10.1093/ntr/ntaa011 PMid:31943074 PMCid:PMC7789949
Stringhini S, Carmeli C, Jokela M, et al. Socioeconomic status and the 25×25 risk factors as determinants of premature mortality: A multicohort study and meta-analysis of 1·7 million men and women. Lancet. 2017;389(10075):1229-37. https://doi.org/10.1016/S0140-6736(16)32380-7 PMid:28159391
Bind M-A. Causal modeling in environmental health. Annu Rev Public Health. 2019;40:23-43. https://doi.org/10.1146/annurev-publhealth-040218-044048 PMid:30633715 PMCid:PMC6445691
Umweltbundesamt. Feinstaub [Particulate matter]. 2022. Available at: https://www.umweltbundesamt.de/themen/luft/luftschadstoffe-im-ueberblick/feinstaub#undefined (Accessed 20 January 2022).
Statistisches Bundesamt. Was ist der Mikrozensus [What is the Micro Census]? 2022. Available at: https://www.destatis.de/DE/Themen/Gesellschaft-Umwelt/Bevoelkerung/Haushalte-Familien/Methoden/mikrozensus.html (Accessed 20 January 2022).
RDC of the Federal Statistical Office and Statistical Offices of the Länder. Micro Census, years: 1999, 2003, 2005, 2009, 2013, 2017, own calculations. 2021.
BBSR. INKAR-Indikatoren und Karten zur Raum-und Stadtentwicklung. 2022. Available at: https://www.inkar.de/ (Accessed 20 January 2022).
Stuart EA, Rubin DB. Matching methods for causal inference: Designing observational studies. 2007. Available at: https://www.biostat.jhsph.edu/~estuart/StuRub_MatchingChapter_07.pdf (Accessed 20 January 2022).
Imai K, King G, Stuart EA. Misunderstandings between experimentalists and observationalists about causal inference. J R Stat Soc. 2008;171(Part 2):481-502. https://doi.org/10.1111/j.1467-985X.2007.00527.x
Ho DE, Imai K, King G, Stuart EA. Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference. Polit Anal. 2007;15:199-236. https://doi.org/10.1093/pan/mpl013
Stuart EA. Matching methods for causal inference: A review and a look forward. Stat Sci. 2010;25(1):1-21. https://doi.org/10.1214/09-STS313 PMid:20871802 PMCid:PMC2943670
Black PE. Euclidean distance. 2004. Available at: https://xlinux.nist.gov/dads/HTML/euclidndstnc.html (Accessed 20 January 2022).
Black PE. Manhattan distance. 2019. Available at: https://xlinux.nist.gov/dads/HTML/manhattanDistance.html (Accessed 20 January 2022).
Pope III, CA, Coleman N, Pond ZA, Burnett RT. Fine particulate air pollution and human mortality: 25+ years of cohort studies. Environ Res. 2020;183:108924. https://doi.org/10.1016/j.envres.2019.108924 PMid:31831155
41. Pope III, CA, Coleman N, Pond ZA, Burnett RT Corrigendum to “fine particulate air pollution and human mortality: 25+ years of cohort studies”. Environ Res. 2020;191:109974. https://doi.org/10.1016/j.envres.2020.109974 PMid:33181974
Burnham KP, Anderson DR. Multimodel inference. Understanding AIC and BIC in model selection. Sociolo Methods Res. 2004;33(2):261-304. https://doi.org/10.1177/0049124104268644
van Donkelaar A, Martin RV, Brauer M, Boys BL. Use of satellite observations for long-term exposure assessment and global concentrations of fine particulate matter. Environ Health Perspect. 2015;123(2):135-43. https://doi.org/10.1289/ehp.1408646 PMid:25343779 PMCid:PMC4314252
Beloconi A, Chrysoulakis N, Lyapustin A, Utzinger J, Vounatsou P. Bayesian geostatistical modelling of PM₁₀ and PM_2.5 surface level concentrations in Europe using high-resolution satellite-derived products. Environ Int. 2018;121(part 1):57-70. https://doi.org/10.1016/j.envint.2018.08.041 PMid:30179765 PMCid:PMC6295977

How to cite this article

Vancouver

Prinz AL, Richter DJ. The impact of smoking, overweight, and fine particulate matter air pollution on life expectancy: Estimations with county-level matched data for Germany. EUR J ENV PUBLIC HLT. 2023;7(2):em0130. https://doi.org/10.29333/ejeph/12681

APA

Prinz, A. L., & Richter, D. J. (2023). The impact of smoking, overweight, and fine particulate matter air pollution on life expectancy: Estimations with county-level matched data for Germany. European Journal of Environment and Public Health, 7(2), em0130. https://doi.org/10.29333/ejeph/12681

AMA

Prinz AL, Richter DJ. The impact of smoking, overweight, and fine particulate matter air pollution on life expectancy: Estimations with county-level matched data for Germany. EUR J ENV PUBLIC HLT. 2023;7(2), em0130. https://doi.org/10.29333/ejeph/12681

Chicago

Prinz, Aloys Leo, and David Johannes Richter. "The impact of smoking, overweight, and fine particulate matter air pollution on life expectancy: Estimations with county-level matched data for Germany". European Journal of Environment and Public Health 2023 7 no. 2 (2023): em0130. https://doi.org/10.29333/ejeph/12681

Harvard

Prinz, A. L., and Richter, D. J. (2023). The impact of smoking, overweight, and fine particulate matter air pollution on life expectancy: Estimations with county-level matched data for Germany. European Journal of Environment and Public Health, 7(2), em0130. https://doi.org/10.29333/ejeph/12681

MLA

Prinz, Aloys Leo et al. "The impact of smoking, overweight, and fine particulate matter air pollution on life expectancy: Estimations with county-level matched data for Germany". European Journal of Environment and Public Health, vol. 7, no. 2, 2023, em0130. https://doi.org/10.29333/ejeph/12681