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. Author manuscript; available in PMC: 2019 Sep 1.
Published in final edited form as: J Public Health Manag Pract. 2018 Sep-Oct;24(5):E12–E19. doi: 10.1097/PHH.0000000000000674

Table 1.

Predictors of self-reported 7-day quit status at follow-up for current smokers at the time of referral and first contact (n=275).

Continuous Covariates Bivariate results Multivariate results (n=275)


Total N Mean (sd) quit at follow-up (n=65) OR 95% CI
Age 275 57.88 (10.89) 0.99 0.96–1.03
Pack-years 275 52.23 (28.94) 1.00 0.99–1.01
Days between referral & follow-up 275 105.18 (150.56) 1.001 0.999–1.003
Number of counseling calls 275 3.60 (1.75) 1.00 0.81–1.23

Categorical Covariates Total N % quit at follow-up OR 95% CI

Sex
 Female 145 14.5 1.00 Ref.
 Male 130 14.6 0.90 0.44–1.82
Marital Status
 Single 155 11.0 1.00 Ref.
 Married 120 19.2 2.05 1.01–4.18
ECOG Status
 0 180 18.9 4.05 1.58–10.39
 ≥1 95 6.3 1.00 Ref.
Patient Type
 Other thoracic center patient 165 12.7 1.00 Ref.
 Lung cancer patient 110 17.3 1.85 0.86–3.98

Please note: Statistically significant results at p<0.05 are in bold and underlined.

All variables presented were included in the multivariate model. The outcome of interest is self-reported quit status at follow-up (at least 7 days smoke-free prior to the follow-up contact), with current tobacco users as the referent group. N=40 were missing data on one or more covariates (n=21 missing pack-years and n=19 were missing marital status), therefore only 275/315 who were contacted twice and currently using tobacco at each contact are included in the stratified logistic regression analysis. Other variables that were examined bivariately but were not included in the multivariate logistic regression, and therefore are not shown here include race and ethnicity. The p-value for the chi-square test between martial status and quit status at follow-up was p=0.056. There were no statistically significant associations between these covariates and self-reporting quit at follow-up among patients referred as former smokers.