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Table 3 Logistic regression of relevant covariates for smoking cessation.a; (N = 335)

From: High smoking and low cessation rates among patients in treatment for opioid and other substance use disorders

Variables

Bivariate analysis

OR (95% CI)

p-valuea;

Multivariate analysis OR (95%CI)

p-valueb;

Age

0.90 (0.87–0.94)

< 0.001

0.93 (0.89–0.97)

0.002

Sex, Female

1.52 (0.84–2.77)

0.169

1.64 (0.85–3.17)

0.141

Education level

0.71 (0.40–1.26)

0.235

  

Employed or in school

0.84 (0.35–1.98)

0.684

  

Treatment, inpatient

5.32 (2.69–10.49)

< 0.001

2.71 (1.25–5.86)

0.011

Cigarettes per day

1.0 (0.97–1.02)

0.928

  

Respiratory ailmentsd

1.11 (0.93–1.41)

0.378

  

Physical healthe

1.21 (0.93–1.59)

0.156

1.31 (0.98–1.76)

0.065

Mental distressf

0.82 (0.57–1.19)

0.300

  

Severity of dependenceg

0.99 (0.91–1.09)

0.866

  

a The dependent variable was dichotomized smoking change

b p-value obtained from bivariate logistic regression

c p-value obtained from multivariable logistic regression; multivariable analysis included variables with p-values < 0.20 in bivariate analyses

d Item from somatic complaints questionnaire

e Item from QOL10

f HSCL-25

 g SDS