• Obianuju B Ozoh, Maxwell O Akanbi, Casmir E Amadi, William M Vollmer, and Nigel G Bruce.
• University of Lagos College of Medicine; Lagos University Teaching Hospital, Department of Medicine.
• Afr Health Sci. 2017 Dec 1; 17 (4): 111011191110-1119.

BackgroundFactors associated with tobacco smoking are useful in designing tobacco control programs.ObjectivesTo estimate the prevalence of and factors associated with tobacco smoking among long-distance drivers.MethodsA cross-sectional study. Stratified cluster sampling approach was used to select drivers based on if they received annual health screening (AHS) or not (non-AHS). We used a structured questionnaire to obtain information and weighted the resulting observations to derive population based estimates. Association between tobacco smoking and socio-demographic factors was explored in multivariate models.ResultsA total of 414 male drivers, with a mean age of 43.6 (standard error 0.6) years were studied. Population weighted prevalence of current smoking was 18.9% (95% CI: 14.3-23.4) all drivers, 6.5% (95% CI: 2.6-10.4) of AHS drivers and 19.5 (95% CI: 14.7-24.2) of non-AHS drivers (p<0.001). In multivariate models, having close friends that smoked (OR= 6.36, 95% CI= 2.49 - 16.20) cargo driving (OR= 2.58, 95% CI= 1.29 - 5.15) and lower education levels (OR for post-secondary education vs. Primary education or less= 0.17, 95% CI= 0.04 - 0.81) were associated with current smoking.ConclusionPrevalence of tobacco smoking is higher among non-AHS compared to AHS drivers. Having close friends that smoked, cargo driving, and lower education levels were associated with current smoking.

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