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. Author manuscript; available in PMC: 2026 Feb 1.
Published in final edited form as: Addict Behav. 2024 Nov 6;161:108211. doi: 10.1016/j.addbeh.2024.108211

Table 2.

GEE model of the association between mobile phone ownership and alcohol use over time.

Predictor Odds Ratio (95 % c.i.) Coefficient (95 % c.i.) Std Err

Age 1.38 (1.27, 1.49) 0.32 (0.24, 0.40) 0.06
Biological sex 0.91 (0.82, 1.01) −0.10 (−0.20, 0.01) 0.05
Household income 1.00 (1.00, 1.00) 0.00 (−0.01, 0.01) <0.01
Racial/ethnic background
Black or African American 0.24 (0.19, 0.31) −1.41 (−1.66, −1.17) 0.03
Hispanic or Latino 0.53 (0.45, 0.62) −0.64 (−0.79, −0.49) 0.04
Asian 0.37 (0.23, 0.60) −0.99 (−1.48, −0.51) 0.09
Other 0.72 (0.61, 0.86) −0.32 (−0.50, −0.15) 0.07
Time 0.91 (0.87, 0.96) −0.09 (−0.14, −0.04) 0.02
Mobile phone ownership 1.34 (1.18, 1.51) 0.29 (0.16, 0.41)

Note: c.i. = confidence interval; biological sex was coded as 0 = male, 1 = female; racial/ethnic background was coded as a categorical variable with non-Hispanic white as the reference category.