DOI: 10.21045/2071-5021-2018-60-2-8

Aladyshkina AS, Lakshina VV, Leonova LA, Maksimov AG.
National Research University “Higher School of Economics”, Nizhny Novgorod, Russia

Contacts: Aladyshkina Anna, e-mail: This e-mail address is being protected from spam bots, you need JavaScript enabled to view it
Information about authors:
Aladyshkina A.S., https://orcid.org/0000-0003-3885-8849
Lakshina V.V., https://orcid.org/0000-0003-1447-9377
Leonova L.A., https://orcid.org/0000-0002-9583-8310
MaksimovA.G., https://orcid.org/0000-0001-6307-1656
Acknowledgments. This research is financially supported by the Russian Fund for Basic Research (grant ¹ 18-010-00632).
Conflict of interests. The authors declare no conflict of interest.

Abstract

The younger generation is the demographic, socio-economic and labor potential of the society. Quality of labor resources directly depends upon health status of this population group and is one of the most important components of the country's resource potential. In this regard, a thorough analysis of the pediatric health status determinants is a topical issue.

Currently, within the context of a stable ecological imbalance, factors reflecting environmental situation are one of the essential determinants of the pediatric health.

The purpose of the study is to analyze influence of environmental factors on health of children aged 0 to 14 years exemplified by the Nizhny Novgorod region. The object of modeling was incidence rate in children aged 0 to 14 in 50 municipalities of the Nizhny Novgorod region in 2000-2016.

The study used methods of econometric analysis, including panel regression with fixed and random effects, as well as Wooldridge tests for the unobserved effects and Darbin-Woo-Hausman for the regressions’ diagnostics. Calculations were carried out on the basis of the data of the Nizhny Novgorod Statistics Service and Ministry of Health of the Russian Federation.

Results of the model estimation suggest a statistically significant effect of the considered factors on the level of the pediatric incidence rate. Factors that have a significant impact on health of the younger generation include availability of pediatricians and district doctors providing outpatient primary health care to children aged 0-14; current expenditures on environmental protection; proportion of unpurified emissions in the total amount of pollutants discarded from the stationary sources; emissions of pollutants into atmosphere from the stationary sources; number of water samples analyzed according to sanitary-chemical indicators taken from sources of the centralized water supply with a breakdown on districts, that do not meet the sanitary standards. The obtained econometric model can be used to predict pediatric incidence in relation to environmental factors to develop programs aimed at improving quality of life of the younger generation.

Keywords: pediatric disease incidence; environment; human capital; panel data.

References

1. Baranov A.A., Al'bitskiyV.Yu., Modestov A.A., Kosova S.A., Bondar' V.I., Volkov I.M. Zabolevaemost' detskogo naseleniya Rossii [Children morbidity in Russia]. Moscow: Pediatr; 2013. 310 p. (In Russian).
2. Kislitsyna O.A. Sotsial'no-ekonomicheskie determinanty zdorov'ya rossiyan [Socioeconomic determinants of the Russian population health]. Narodonaselenie2007; (2): 24-37. (In Russian).
3. Kolmakova T.S., Tupikov V.A., Shpak L.I. Vliyanie antropogennogo zagryazneniya na zdorov'e zhiteley Rostovskoy oblasti [Anthropogenic pollution influence on the health of inhabitants of the Rostov region]. Meditsinskiy vestnik Yuga Rossii 2012; (3): 16-19. (In Russian).
4. Kononova A.E. Sotsial'no-ekonomicheskie factory detskogo zdorov'ya v Rossii [Socioeconomic factors of children's health in Russia]. Sotsiologicheskie issledovaniya 2016; (4): 94-102. (In Russian).
5. Molchanova E.V., Kruchek M.M. Matematicheskie metody otsenki faktorov, vliyayushchikh na sostoyanie zdorov'ya naseleniya v regionakh Rossii (panel'nyy analiz). [Mathematical methods to assess factors affecting population health in the Russian regions.Panel analysis)]. Sotsial'nye aspekty zdorov'ya naselenia [serial online] 2013 [cited 2018 Feb 20]; 33(5). Available from:http://vestnik.mednet.ru/content/view/513/27/lang,ru_ru.cp1251/.(In Russian).
6. Reznichenko A.V., Shcherbakova A.Yu., Moroz B.T., Kuz'mina D.A. Vliyanie zagryazneniy okruzhayushchey sredy na stomatologicheskuyu zabolevaemost' detey Sankt-Peterburga [The influence of environmental pollution on dental incidence rate among children in Saint Petersburg]. Vestnik Novgorodskogo gosudarstvennogo universiteta 2015; 2(85): 89-92. (In Russian).
7. Chistobaev A.I., Semenova Z.A. Sostoyanie okruzhayushchey sredy kak factor vozdeystviya na zdorov'e naseleniya Sankt-Peterburga [Environmental situation as a factor of population health in St. Petersburg]. Vestnik Baltiyskogo federal'nogo universiteta im. I. Kanta 2012; (1): 80-90. (In Russian).
8. Shcherbakova E.M. Zabolevaemost' naseleniya Rossii, 2015-2016 gody [Population incidence rate in Russia in 2015-2016]. Sotsial'nye aspekty zdorov'ya naselenia [serial online] 2017 [cited 2018 Feb 20];721-722. Available from:http://demoscope.ru/weekly/2017/0721/barom01.php. (In Russian).
9. Baltagi BH. Econometric Analysis of Panel Data, 5th edition. Wiley; 2013. 388 p.
10. Bleakley H. Health, human capital, and development. The Annual Review of Economic 2010; 2:283–310.
11. Evans GW, Kantrowitz E. Socioeconomic status and health: the potential role of environmental risk exposure. Annual Review of Public Health 2002; 23:303-331.
12. Hausman JA. Specification tests in econometrics. Econometrica1978; 46 (6): 1251–1271.
13. Jensen S, Mazhitova Z, Zetterström R. Environmental pollution and child health in the Aral Sea region in Kazakhstan. Science of The Total Environment 1997; 206(2-3): 187-193.
14. Kampa M, Castanas E. Human health effects of air pollution. Environmental Pollution 2008; 151(2): 362-367.
15. Revich B, Aksel E, Ushakova T, Ivanova I, Zhuchenko N, KlyuevN,et al. Dioxin exposure and public health in Chapaevsk, Russia.Chemosphere2001; 43(4–7): 951-966.
16. Stock JH, Watson MW. Introduction to econometrics: Global edition. Boston, MA: Pearson Education; 2012.840 p.
17. Wooldridge J. Econometric analysis of cross-section and panel data. MIT press; 2002.1096 p.

Write Comment

Please keep the topic of messages relevant to the subject of the article. Personal verbal attacks will be deleted. Please don't use comments to plug your web site. Such material will be removed. Just ensure to *Refresh* your browser for a new security code to be displayed prior to clicking on the 'Send' button. Keep in mind that the above process only applies if you simply entered the wrong security code.
Name:
E-mail
Comment:
Code:*