Non-fatal injuries in three Central and Eastern European urban population samples: the HAPIEE study
Language English Country Great Britain, England Media print-electronic
Document type Journal Article, Multicenter Study, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't
Grant support
1R01 AG23522-01
NIA NIH HHS - United States
Wellcome Trust - United Kingdom
G19/35
Medical Research Council - United Kingdom
G0100222
Medical Research Council - United Kingdom
R01 AG023522
NIA NIH HHS - United States
R01 AG023522-05
NIA NIH HHS - United States
R01 AG013196
NIA NIH HHS - United States
RG/07/008/23674
British Heart Foundation - United Kingdom
G8802774
Medical Research Council - United Kingdom
G0902037
Medical Research Council - United Kingdom
PubMed
19959615
PubMed Central
PMC2989029
DOI
10.1093/eurpub/ckp193
PII: ckp193
Knihovny.cz E-resources
- MeSH
- Alcoholism epidemiology MeSH
- Health Status Disparities * MeSH
- Comorbidity MeSH
- Middle Aged MeSH
- Humans MeSH
- Urban Population MeSH
- Prevalence MeSH
- Cross-Sectional Studies MeSH
- Psychosocial Deprivation * MeSH
- Wounds and Injuries epidemiology MeSH
- Risk Factors MeSH
- Sex Distribution MeSH
- Aged MeSH
- Socioeconomic Factors MeSH
- Age Distribution MeSH
- Check Tag
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Multicenter Study MeSH
- Research Support, Non-U.S. Gov't MeSH
- Research Support, N.I.H., Extramural MeSH
- Geographicals
- Czech Republic epidemiology MeSH
- Poland epidemiology MeSH
- Russia epidemiology MeSH
BACKGROUND: Despite high mortality from injuries and accidents, data on rates and distribution of non-fatal injuries in Central and Eastern European populations are scarce. METHODS: Cross-sectional study of random population samples of 45-69-year-old men and women (n = 28 600) from Novosibirsk (Russia), Krakow (Poland) and six Czech towns, participating in the Health, Alcohol and Psychosocial factors In Eastern Europe (HAPIEE) study. Participants provided information on non-fatal injuries in the past 12 months, socio-economic characteristics, alcohol consumption and other covariates. RESULTS: The period prevalence of non-fatal injuries in the last year among Czech, Russian and Polish men was 12.5, 9.4 and 5.3%, respectively; among women, the respective proportions were 9.9, 9.8 and 6.4%. Injury prevalence declined with age in men and increased with age in women. Higher injury prevalence was associated with being unmarried, material deprivation, higher drinking frequency and problem drinking. In the pooled data, the adjusted odds ratio (OR) for the highest versus lowest material deprivation category was 1.57 [95% confidence interval (CI) 1.38-1.79]; for problem drinking, the OR was 1.44 (95% CI 1.23-1.69). Alcohol did not mediate the link between socio-economic status and injury. CONCLUSION: Non-fatal injuries were associated with material deprivation, other socio-economic characteristics and with alcohol. These results not only underscore the universality of the inequality phenomenon, but also suggest that the mediating role of alcohol in social differentials in non-fatal injury remains an unresolved issue.
See more in PubMed
Sethi D, Racioppi F, Baumgarten I, Vida P. Why they matter and what can be done. Copenhagen: WHO Regional Office for Europe; 2006. Injuries and violence in Europe.
McKee M, Zwi A, Koupilova I, et al. Health policy-making in central and eastern Europe: lessons from the inaction on injuries? Health Policy Plan. 2000;15:263–9. PubMed
Health for All database, World Health Organisation. Available at http://data.euro.who.int/hfamdb/ (last accessed 30 September 2009)
Cubbin C, LeClere FB, Smith GS. Socioeconomic status and injury mortality: individual and neighbourhood determinants. J Epidemiol Community Health. 2000;54:517–24. PubMed PMC
Cubbin C, Smith GS. Socioeconomic inequalities in injury: critical issues in design and analysis. Annu Rev Public Health. 2002;23:349–75. PubMed
Toet H, Hertog Pd, van Baar M, Beeck V. Socio-economic differences in injury morbidity in the Netherlands: Analysis of an existing database. Int J Inj Contr Saf Promot. 2001;8:191–3.
Snidero S, Rahim Y, Berchialla P, Gregori D. Risk factors and geographical heterogeneity in unintentional home injuries incidence rate: new evidence based on Multiscopo survey in Italy. Int J Inj Contr Saf Promot. 2007;14:203–13. PubMed
UNICEF. Florence: UNICEF Innocenti Research Centre; 2003. Social Monitor 2003. Social trends in transition.
World Bank. New York: Oxford University Press; 1996. World Development Report 1996. From plan to market.
Bogomolova T, Tapilina V. Moscow: Economics Education and Research Consortium; 1999. Income mobility in Russia in the mid-1990s. Working Paper No. 99/11.
Bobak M, Marmot M. East–West mortality divide and its potential explanations: proposed research agenda. BMJ. 1996;312:421–5. PubMed PMC
Leon DA, Chenet L, Shkolnikov VM, et al. Huge variation in Russian mortality rates 1984-94: artefact, alcohol, or what? Lancet. 1997;350:383–8. PubMed
Shkolnikov VM, Leon DA, Adamets S, et al. Educational level and adult mortality in Russia: an analysis of routine data 1979 to 1994. Soc Sci Med. 1998;47:357–69. PubMed
Men T, Brennan P, Boffetta P, Zaridze D. Russian mortality trends for 1991–2001: analysis by cause and region. BMJ. 2003;327:964. PubMed PMC
Plavinski SL, Plavinskaya SI, Klimov AN. Social factors and increase in mortality in Russia in the 1990s: prospective cohort study. BMJ. 2003;326:1240–2. PubMed PMC
Murphy M, Bobak M, Nicholson A, et al. The widening gap in mortality by educational level in the Russian Federation, 1980–2001. Am J Public Health. 2006;96:1293–9. PubMed PMC
Leinsalu M, Stirbu I, Vagero D, et al. Educational inequalities in mortality in four Eastern European countries: divergence in trends during the post-communist transition from 1990 to 2000. Int J Epidemiol. 2008;38:512–25. PubMed
Sethi D, Racioppi F, Baumgarten I, et al. Reducing inequalities from injuries in Europe. Lancet. 2006;368:2243–50. PubMed
Popova S, Rehm J, Patra J, Zatonski W. Comparing alcohol consumption in central and eastern Europe to other European countries. Alcohol Alcohol. 2007;42:465–73. PubMed
Rehm J, Taylor B, Patra J. Volume of alcohol consumption, patterns of drinking and burden of disease in the European region 2002. Addiction. 2006;101:1086–95. PubMed
Rehm J, Sulkowska U, Manczuk M, et al. Alcohol accounts for a high proportion of premature mortality in central and eastern Europe. Int J Epidemiol. 2007;36:458–67. PubMed
Peasey A, Bobak M, Kubinova R, et al. Determinants of cardiovascular disease and other non-communicable diseases in Central and Eastern Europe: rationale and design of the HAPIEE study. BMC Public Health. 2006;6:255. PubMed PMC
Rehm J. Measuring quantity, frequency, and volume of drinking. Alcohol Clin Exp Res. 1998;22:4S–14S. PubMed
Rehm J, Greenfield TK, Walsh G, et al. Assessment methods for alcohol consumption, prevalence of high risk drinking and harm: a sensitivity analysis. Int J Epidemiol. 1999;28:219–24. PubMed
Ewing JA. Detecting alcoholism. The CAGE questionnaire. JAMA. 1984;252:1905–7. PubMed
Rehm J, Frick U, Bondy S. A reliability and validity analysis of an alcohol-related harm scale for surveys. J Stud Alcohol. 1999;60:203–8. PubMed
Bobak M, Pikhart H, Kubinova R, et al. The association between psychosocial characteristics at work and problem drinking: a cross-sectional study of men in three Eastern European urban populations. Occup Environ Med. 2005;62:546–50. PubMed PMC
Bobak M, Room R, Pikhart H, et al. Contribution of drinking patterns to differences in rates of alcohol related problems between three urban populations. J Epidemiol Community Health. 2004;58:238–42. PubMed PMC
Rehm J, Gmel G. Alcohol consumption and total mortality/morbidity-definitions and methodological implications. Best Pract Res Clin Gastroenterol. 2003;17:497–505. PubMed
Malyutina S, Bobak M, Kurilovitch S, et al. Relation between heavy and binge drinking and all-cause and cardiovascular mortality in Novosibirsk, Russia: a prospective cohort study. Lancet. 2002;360:1448–54. PubMed
Tomkins S, Saburova L, Kiryanov N, et al. Prevalence and socio-economic distribution of hazardous patterns of alcohol drinking: study of alcohol consumption in men aged 25-54 years in Izhevsk, Russia. Addiction. 2007;102:544–53. PubMed PMC
Xiang H, Yu S, Zhang X, et al. Behavioral risk factors and unintentional injuries among U.S. immigrant adults. Ann Epidemiol. 2007;17:889–98. PubMed
Khlat M, Ravaud JF, Brouard N, Chau N. Occupational disparities in accidents and roles of lifestyle factors and disabilities: a population-based study in north-eastern France. Public Health. 2008;122:771–83. PubMed
Li X, Sundquist S, Johansson SE. Effects of neighbourhood and individual factors on injury risk in the entire Swedish population: a 12-month multilevel follow-up study. Eur J Epidemiol. 2008;23:191–203. PubMed
Kelly SM, Miles-Doan R. Social inequality and injuries: do morbidity patterns differ from mortality? Soc Sci Med. 1997;44:63–70.
Nordstrom DL, Zwerling C, Stromquist AM, et al. Epidemiology of unintentional adult injury in a rural population. J Trauma. 200;51:758–66. PubMed
Edelman LS. Social and economic factors associated with the risk of burn injury. Burns. 2007;33:958–65. PubMed
Whitlock G, Norton R, Clark T, et al. Motor vehicle driver injury and socioeconomic status: a cohort study with prospective and retrospective driver injuries. J Epidemiol Community Health. 2003;57:512–6. PubMed PMC
van Lenthe FJ, van Beeck EF, Gevers E, Mackenbach JP. Education was associated with injuries requiring hospital admission. J Clin Epidemiol. 2004;57:945–53. PubMed
Malmivaara A, Heliovaara M, Knekt P, et al. Risk factors for injurious falls leading to hospitalization or death in a cohort of 19,500 adults. Am J Epidemiol. 1993;138:384–94. PubMed