Title |
Parental transmission of smoking among middle-aged and older populations in Russia and Belarus
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Published in |
International Journal of Public Health, January 2018
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DOI | 10.1007/s00038-017-1068-0 |
Pubmed ID | |
Authors |
Alexi Gugushvili, Martin McKee, Aytalina Azarova, Michael Murphy, Darja Irdam, Lawrence King |
Abstract |
The very high rates of smoking among men and the rapid changes among women in the Post-Soviet countries mean that this region offers an opportunity to understand better the intergenerational role of parental influences on smoking. In this study, we exploit a unique data set, the PrivMort cohort study conducted in 30 Russian and 20 Belarusian towns in 2014-2015, which collects information on behaviours of middle-aged and older individuals and their parents, including smoking. We explored the associations between smoking by parents and their offspring using multiply imputed data sets and multilevel mixed-effect Poisson regressions. Adjusting for a wide array of social origin, socio-demographic, and socio-economic variables, our analysis suggests that sons of regularly smoking fathers have prevalence ratios of 1.35 [95% confidence intervals (CI) 1.21-1.50] and 1.39 (CI 1.23-1.58) of smoking, while the figures for daughters of regularly smoking mothers are 1.91 (CI 1.40-2.61) and 2.30 (CI 1.61-3.28), respectively, in Russia and Belarus. Intergenerational paternal and maternal influences on smoking should be taken into account in studies seeking to monitor the rates of smoking and the impact of tobacco control programmes. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Canada | 1 | 13% |
France | 1 | 13% |
Malta | 1 | 13% |
United Kingdom | 1 | 13% |
United States | 1 | 13% |
Unknown | 3 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 63% |
Scientists | 2 | 25% |
Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 25 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 28% |
Student > Ph. D. Student | 4 | 16% |
Student > Master | 3 | 12% |
Professor | 1 | 4% |
Lecturer > Senior Lecturer | 1 | 4% |
Other | 2 | 8% |
Unknown | 7 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 4 | 16% |
Nursing and Health Professions | 3 | 12% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 8% |
Veterinary Science and Veterinary Medicine | 1 | 4% |
Arts and Humanities | 1 | 4% |
Other | 6 | 24% |
Unknown | 8 | 32% |