. Author manuscript; available in PMC: 2022 Oct 1.

Published in final edited form as: Cancer Epidemiol. 2021 Jul 8;74:101980. doi: 10.1016/j.canep.2021.101980

Table 3.

Association of sexual identity with tobacco use quantity and intensity among PATH Wave 1 (2013–14) Biomarker Core women.

	Full biomarker core sample (n=4,930)	Past 30-day tobacco users (n=3,630)	Past 30-day excmsive established cigarette users (n=1,302)
	β (95% CI)	β (95% CI)	β (95% CI)
*Number of cigarettes per day*
Heterosexual	Ref	Ref	Ref
Gay/lesbian	0.33 (−1.33, 2.00)	−0.15 (−2.63, 2.32)	3.89 (−0.07, 7.86)
Bisexual	1.30 (0.05, 2.55)^*	−0.17 (−1.51, 1.18)	−1.40 (−3.73, 0.93)
Something else	0.20 (−2.09, 2.48)	−0.85 (−4.68, 2.97)	−4.23 (−7.02, −1.44)^*
*Number of tobacco products*
Heterosexual	Ref	Ref	Ref
Gay/lesbian	0.31 (0.06, 0.55)^*	0.36 (0.15, 0.55)^*	---
Bisexual	0.42 (0.28, 0.56)^*	0.21 (0.09, 0.33)^*	---
Something else	0.25 (−0.08, 0.59)	0.21 (0.01, 0.41)^*	---
*WISDM score (11 items; 0–44)*
Heterosexual	Ref	Ref	Ref
Gay/lesbian	0.18 (−2.84, 3.20)	−0.69 (−4.55, 3.18)	6.52 (−1.35, 14.29)
Bisexual	2.89 (0.96, 4.82)^*	−0.12 (−1.96, 1.72)	0.47 (−3.31, 4.26)
Something else	0.70 (−2.29, 3.69)	−0.81 (−4.25, 2.63)	−4.02 (−12.02, 3.98)

Note: Reference is heterosexual women. Models control for age, race, ethnicity, urbanicity, census region, marijuana use, alcohol use, household second hand smoke exposure, internalizing symptoms, and BMI.

p<0.05