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. Author manuscript; available in PMC: 2020 Sep 1.
Published in final edited form as: Womens Health Issues. 2019 Jun 20;29(5):432–439. doi: 10.1016/j.whi.2019.05.006

Table 5.

Multivariate logistic regression models of association between demographic and health/health behaviors characteristics and smoking status

Current vs. Never
OR (95% CI)
Experimental vs. Never
OR (95% CI)
Former vs. Never
OR (95% CI)
Demographic variables
Age (years) 1.00 (0.97–1.04) 1.02 (1.00–1.04) 1.04 (1.01–1.06)
Race
 White, non-Hispanic Ref Ref Ref
 Racial/ethnic minorities 1.92 (0.95–3.87) 1.03 (0.67–1.60) 0.90 (0.52–1.55)
Education
 Some college or higher Ref Ref Ref
 Less than high school 5.25 (2.01–13.70) 0.67 (0.27–1.71) 1.30 (0.51–3.31)
Income (>$75,000)
 >$75,000 Ref Ref Ref
 ≤$75,000 1.59 (0.87–2.88) 0.90 (0.64–1.25) 1.18 (0.80–1.75)
Rank
 Any officer or chief Ref Ref Ref
 Any firefighter 1.54 (0.75–3.16) 1.06 (0.76–1.49) 0.85 (0.57–1.25)
Health/health behaviors
BMI (kg/m2) 1.06 (1.00–1.13) 1.00 (0.97–1.04) 1.00 (0.96–1.04)
Obesity prevalence
Self-rated health 1.04 (0.82–1.33) 0.84 (0.74–0.95) 1.04 (0.90–1.21)
Binge drinking 2.64 (l.45–4.80) 1.50 (1.11–2.03) 2.14 (1.51–3.04)
Potential problem drinking 2.30 (1.15–4.59) 1.73 (1.14–2.64) 1.49 (0.92–2.40)

Note:

ORs >1.0 indicate increased odds for those who were current smokers compared to non-smokers to fall into a lower category of each variable (i.e., not married, less income, no binge drinking). Health/health behaviors variables are controlled for age, ethnicity, income, and education.