Research Article

Socioeconomic and Demographic Factors Shaping Tobacco Consumption in Turkey: The Role of Socioeconomic and Demographic Variables and Policy Recommendations

Volume: 9 Number: 2 May 25, 2025
TR EN

Socioeconomic and Demographic Factors Shaping Tobacco Consumption in Turkey: The Role of Socioeconomic and Demographic Variables and Policy Recommendations

Abstract

Tobacco use is a major public health issue globally due to its harmful and life-threatening consequences. This study examined smoking behavior using a comprehensive dataset of socioeconomic, psychological, cultural, and health information from individuals and households across Turkey. The study utilized data from the 2016 Turkey Health Survey conducted by the Turkish Statistical Institute (TUIK). This nationwide survey includes 17,242 individuals aged 15 and over, with detailed socio-demographic, economic, cultural, health, and psychological information. The Zero Inflated Negative Binomial (ZINB) model was employed to assess the impact of various factors on daily tobacco use in Turkey. The analysis identified age, education level, exposure to smoking, chronic health issues, loneliness, employment status, having young children, household income, gender, depression index, and household size as significant factors influencing cigarette consumption. Both the initiation and amount of smoking are shaped by a complex interplay of these factors. The findings underscore the importance of income, gender, family structure, social relationships, age, education, and health in determining smoking behavior.

Keywords

References

  1. Alkan, Ö. & Abar, H. (2020). Determination of factors influencing tobacco consumption in Turkey using categorical data analyses. Archives of Environmental & Occupational Health, 75(1), 27–35. https://doi.org/10.1080/19338244.2018.1556200
  2. Al-Sahab, B., Saqib, M., Hauser, G. & Tamim, H. (2010). Prevalence of smoking during pregnancy and associated risk factors among Canadian women: A national survey. BMC Pregnancy and Childbirth, 10(1), 1–9. https://doi.org/10.1186/1471-2393-10-24/TABLES/2
  3. Amiri, S. (2022). Unemployment associated with major depression disorder and depressive symptoms: a systematic review and meta-analysis. International Journal of Occupational Safety and Ergonomics, 28(4), 2080–2092. https://doi.org/10.1080/10803548.2021.1954793
  4. Bilgic, A., Florkowski, W. J. & Akbay, C. (2010). Demand for cigarettes in Turkey: An application of count data models. Empirical Economics, 39(3), 733–765. https://doi.org/10.1007/S00181-009-0320-8/METRICS
  5. Boffetta, P. & Straif, K. (2009). Use of smokeless tobacco and risk of myocardial infarction and stroke: Systematic review with meta-analysis. BMJ, 339(7719), 502. https://doi.org/10.1136/BMJ.B3060
  6. Brown, S. L. & Rinelli, L. N. (2010). Family structure, family processes, and adolescent smoking and drinking. Journal of Research on Adolescence, 20(2), 259–273. https://doi.org/10.1111/J.1532-7795.2010.00636.X
  7. Cantrell, J., Vallone, D. M., Thrasher, J. F., Nagler, R. H., Feirman, S. P., Muenz, L. R., He, D. Y. & Viswanath, K. (2013). Impact of tobacco-related health warning labels across socioeconomic, race and ethnic groups: Results from a randomized web-based experiment. PLOS ONE, 8(1), e52206. https://doi.org/10.1371/JOURNAL.PONE.0052206
  8. Casetta, B., Videla, A. J., Bardach, A., Morello, P., Soto, N., Lee, K., Camacho, P. A., Hermoza Moquillaza, R. V. & Ciapponi, A. (2016). Association between cigarette smoking prevalence and income level: A systematic review and meta-analysis. Nicotine & Tobacco Research, ntw266. https://doi.org/10.1093/ntr/ntw266

Details

Primary Language

English

Subjects

Econometric and Statistical Methods , Health Policy

Journal Section

Research Article

Publication Date

May 25, 2025

Submission Date

November 7, 2024

Acceptance Date

December 15, 2024

Published in Issue

Year 2025 Volume: 9 Number: 2

APA
Keskin, A. (2025). Socioeconomic and Demographic Factors Shaping Tobacco Consumption in Turkey: The Role of Socioeconomic and Demographic Variables and Policy Recommendations. Fiscaoeconomia, 9(2), 811-821. https://doi.org/10.25295/fsecon.1580895
download?token=eyJ1aWQiOjEwMTE3NywiYXV0aF9yb2xlcyI6WyJST0xFX1VTRVIiXSwiZW5kcG9pbnQiOiJqb3VybmFsIiwib3JpZ2luYWxuYW1lIjoiMjAyNi0wMy0xNF8wMC0xOC01OC5wbmciLCJwYXRoIjoiNTVjMC82NjE0LzA5NGEvNjliNDdmNjNjMjdiMDUuMDA4NTE4OTUucG5nIiwiZXhwIjoxNzczNDQwMzcxLCJub25jZSI6IjMzYzNhMDczOTJhZDBiOWUxMjA4MTJlMzAwOTdlMDhjIn0.uxgvoBOu5rdPPckMLotZ4eBnzOQVB_StL3DcxMXqMSU


Fiscaoeconomia is licensed under a Creative Commons Attribution License (CC BY).