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. Author manuscript; available in PMC: 2016 Jan 1.
Published in final edited form as: Soc Sci Med. 2014 Nov 18;124:132–141. doi: 10.1016/j.socscimed.2014.11.035

Table 2.

Adjusted association between race/ethnicity (non-Hispanic White versus Black) and substance use from adolescence to adulthood among women (N=7,265) in the National Longitudinal Study of Adolescent Health

Women (N=7265)
Wave 1 (Mean age: 16.18) Wave 2 (Mean age: 16.18) Wave 3 (Mean age: 21.96) Wave 4 (Mean age: 29.14)
Alcohol use (past year)
AOR (95% C.I.) AOR (95% C.I.) AOR (95% C.I.) AOR (95% C.I.)
Any use 2.34 (1.85, 2.95) 2.28 (1.77, 2.93) 2.71 (2.17, 3.40) 2.10 (1.70, 2.61)
At-risk drinking, among drinkers 2.12 (1.55, 2.91) 3.42 (2.37, 4.94) 2.54 (1.96, 3.28) 2.60 (1.89, 3.57)
Beta estimate (95% C.I.) Beta estimate (95% C.I.) Beta estimate (95% C.I.) Beta estimate (95% C.I.)
Average # of drinks consumed, among drinkers 1.50 (0.98, 2.02) 2.55 (1.61, 3.48) 0.60 (0.18, 1.02) 0.85 (0.56, 1.15)
Frequency of drunkenness, among drinkers
0.49 (0.31, 0.68) 0.56 (0.28, 0.83) 0.64 (0.50, 0.78) 0.45 (0.32, 0.58)
Cigarette use (past 30 days)
AOR (95% C.I.) AOR (95% C.I.) AOR (95% C.I.) AOR (95% C.I.)
Any use 5.17 (3.88, 6.89) 5.76 (4.17, 7.97) 4.71 (3.21, 6.92) 2.93 (2.14, 4.03)
Use >25 days 27.76 (14.25, 54.07) 18.52 (9.49, 36.14) 5.80 (3.79, 8.88) 4.17 (2.85, 6.12)
Beta estimate (95% C.I.) Beta estimate (95% C.I.) Beta estimate (95% C.I.) Beta estimate (95% C.I.)
Average # of cigarettes, among users 4.93 (3.96, 5.90) 5.14 (3.95, 6.33) 4.14 (2.04, 6.23) 3.16 (0.75, 5.58)

Marijuana use (past 30 days)
AOR (95% C.I.) AOR (95% C.I.) AOR (95% C.I.) AOR (95% C.I.)
Any use 2.06 (1.46, 2.89) 2.16 (1.52, 3.08) 1.73 (1.30, 2.31) 1.27 (0.93, 1.73)
At least weekly use 2.36 (1.55, 3.59) 3.86 (2.09, 7.14) 1.69 (1.15, 2.50) 1.11 (0.76, 1.62)
Beta estimate (95% C.I.) Beta estimate (95% C.I.) Beta estimate (95% C.I.) Beta estimate (95% C.I.)
Frequency of use, among users 0.16 (−0.33, 0.65) 0.64 (0.22, 1.07) 0.29 (−0.18, 0.75) −0.44 (−0.95, 0.08)

Adjusted for: baseline age, highest level of parental education, urban versus rural location, family use of public assistance, and household income.