About this Journal Publication ethics Editorial Board Editorial Council Editorial Office For the Authors Contacts
English

News feeds

Journal in Databases

eLIBRARY.RU - ÍÀÓ×ÍÀß ÝËÅÊÒÐÎÍÍÀß ÁÈÁËÈÎÒÅÊÀ

Google Scholar

Google Scholar

Main
JANUARY DEATHS IN RUSSIA, 2004-2016 Print
Monday, 25 December 2017

DOI: 10.21045/2071-5021-2017-58-6-2

NemtsovA.V.
V. Serbsky National Medical Research Centre for Psychiatry and Narcology, Ministry of Health of the Russian Federation, Moscow

Contacts: Nemtsov Alexandr, e-mail: This e-mail address is being protected from spam bots, you need JavaScript enabled to view it
Information about author: http://orcid.org/0000-0003-1150-5146
Conflict of interests. The author declares no conflict of interest.
Acknowledgments. The study had no sponsorship.

Abstract

Purpose of the study: to estimate whether and how the total number of deaths in January exceeds the number of deaths in the remaining months of the year.

Objectives of the study: to analyze distribution of the total number of deaths, as well as deaths from alcohol poisoning, pneumonia, respiratory infections and influenza by months in 2004-2016 with a focus on January.

Material and methods. The subject of the study was the total number of deaths in Russia (a total of 26993487) according to the Rosstat operational data from January 2004 to December 2016 (n = 156 months). Over the period under study there was a regredient decrease in the number of deaths that can be satisfactorily described by a cubic polynomial. Therefore, data were converted into a linear format. Then, a linear function for January and other months was identified. Constant member of those functions served as an estimation of deaths in January and other months in 2004-2016. Deaths caused by alcohol poisoning served as an indirect indicator of actual alcohol consumption (according to the Rosstat operative data). As the morbidity and mortality from colds and infectious diseases increase in winter, the Rosstat operative data on deaths from pneumonia, respiratory infections and influenza were used, as well as data on deaths from influenza of the Institute of Influenza. Data on the average air temperature in the country were received from the Rosstat website.

Results. The constant term of the linear regression for January and other months equals to 185460 and 167370 deaths per year respectively with the difference of 18090 deaths. This is the average excess of January over the remaining months in 2004-2016. It adds up to 10.8% of the total number of deaths in January. The excess of January over the remaining months ranges from 12000 to 21000 deaths.

The number of deaths from pneumonia in males and acute respiratory viral infection in males and females correlates with alcohol consumption. This means that these deaths are closely related to the use of alcohol and partly included in the January "excess".

Conclusion. Synchronicity of dynamics in the total number of deaths and deaths from alcohol poisoning with a maximum in January indicates that the excess in the January deaths is associated with alcohol abuse. The additional loss of 18000 lives as a result of the annual holidays in January should become a public health concern and requires administrative, and possibly political interference to reduce this loss, especially against the background of the impending depopulation.

Keywords: deaths in January; New Year and Christmas holidays; alcohol poisoning; pneumonia and acute respiratory viral infections.

References

  1. Barabash O.L., Altarev S.S., Fomina N.V. Neblagopriyatnoe vliyanie perioda novogodnikh prazdnikov na pokazateli obshchey i kardiovaskulyarnoy smertnosti [The unfavorable influence of New Year holidays on indicators of general and cardiovascular mortality]. Kardiologiya 2010; (11): 35-39. (In Russian).
  2. Dvirskiy A.A. O roli geneticheskikh faktorov v proyavlenii alkogol'nogo deliriya [On the role of genetic factors in manifestation of alcoholic delirium]. Zhurnal nevrologii i psikhiatrii im. S.S. Korsakova 1999; 99 (10): 48-50. (In Russian).
  3. Estestvennoe dvizhenie naseleniya Rossiyskoy Federatsii [The natural movement of the population in the Russian Federation]. [Online]. 2017 [cited 2017 Aug 22]. Available from: http://www.gks.ru/wps/wcm/connect/rosstat_main/rosstat/ru/statistics/publications/catalog/doc_1140096846203 (In Russian).
  4. Matskevich I. M. Alkogolizm i narkotizm v Rossii [Alcohol and drug abuse in Russia]. Rossiyskiy kriminologicheskiy vzglyad 2009; (3): 246-259. (In Russian).
  5. Nemtsov A.V. Vesenne-letniy period kak dopolnitel'nyy faktor riska alkogol'nykh psikhozov [Spring and summer period as an additional risk factor of alcohol psychosis]. Voprosy narkologii 2014; (1): 26-45. (In Russian).
  6. Nemtsov A.V., Izarovskiy B.V., Sakharov A.V. Godichnyy trend alkogol'nykh otravleniy i psikhozov [The annual trend in alcoholic poisoning and psychosis]. Narkologiya 2014; (1): 25-29. (In Russian).
  7. Nemtsov A.V., Shelygin K.V. Potreblenie alkogolya v Rossii: 1956–2013 gg. [Alcohol consumption in Russia in 1956–2013]. Voprosy narkologii 2015; (5): 28-32. (In Russian).
  8. Nemtsov A.V., Shelygin K.V., Zaplatkin I.A., Rastegaeva E.S., Ryzhkova N.V. Polyarno-ekvatorial'nyy temperaturnyy gradient i zabolevaemost' alkogol'nymi psikhozami [Polar and equatorial temperature gradient and alcohol psychosis morbidity]. Narkologiya 2009; (4): 33-37. (In Russian).
  9. Sakharov A.V., Govorin N.V., Nemtsov A.V. Vliyanie sezonnykh meteorologicheskikh faktorov na zabolevaemost' alkogol'nymi psikhozami v Zabaykal'skom krae [Influence of the seasonal meteorological factors on alcohol psychosis morbidity in Zabaikalsk territory]. Sibirskiy vestnik psikhiatrii i narkologii 2013; (4): 53-56. (In Russian).
  10. Shelygin K.V., Konovalov E.A. Dinamika i tsiklichnost' psikhicheskikh rasstroystv, vyzvannykh upotrebleniem alkogolya v Arkhangel'ske [Dynamics and cyclic recurrence of mental disorders caused by alcohol abuse in Archangelsk]. Narkologiya 2015; (1): 27-29. (In Russian).
  11. Bergen H., Hawton K. Variation in deliberate self-harm around Christmas and New Year. Social Science & Medicine 2007; 65 (5): 855-867.
  12. Bridges F.S. Rates of homicide and suicide on major national holidays. Psychological Reports 2004; 94 (2): 723-724.
  13. Kloner R.A., Poole W.K., Perritt R.L. When throughout the year is coronary death most likely to occur? A 12‐year population‐based analysis of more than 220 000 cases. Circulation 1999; 100 (8): 1630–1634.
  14. Knight J., Schilling C., Barnett A., Jackson R., Clarke Ph. Revisiting the “Christmas Holiday Effect” in the Southern Hemisphere Journal of the American Heart Association 2016; 5:e005098.
  15. Milne EMG Mortality spike at New Year but not Christmas in North East England. Eur J Epidemiol 2005; 20 (10): 849–854.
  16. Phillips D., Barker G.E., Brewer K.M. Christmas and New Year as risk factors for death. Social Science & Medicine 2010; 71 (8): 1463-1471.
  17. Phillips DP, Jason R. J., Abramson I.S., Phillips R.R. Cardiac mortality is higher around Christmas and New Year's than at any other time the holidays as a risk factor for death. Circulation 2004; 110 (25): 3781–3788.
  18. Skog O-J. The collectivity of drinking cultures: A theory of the distribution of alcohol consumption. British Journal of Addiction 1985; 80 (1): 83-99.

Views: 9800

Be first to comment this article

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:* Code

Last Updated ( Thursday, 28 December 2017 )
< Prev   Next >
home contact search contact search