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. Author manuscript; available in PMC: 2020 Jul 1.
Published in final edited form as: J Am Acad Child Adolesc Psychiatry. 2019 Mar 27;58(7):681–691. doi: 10.1016/j.jaac.2018.11.018

Table 3.

Examining Distributions of Source Class Membership as a Function of Selected Sociodemographic Characteristics

Male
adolescents
%, (n)a
Female
adolescents
%, (n)a
pb White
%, (n)a
Non-White
%, (n)a
pb Both parents
have less than a
college degree
%, (n)a
At least one
parent has a
college degree
%, (n)a
pb
Latent Classes of Sources n=1544 n=1691 n=1550
Friend/relative source (n=686) 47.7% (297) 52.3% (326) p = .701 62.8% (431) 37.2% (255) p = .759 46.8% (294) 53.2% (334) p = .585
Friend/purchased sources (n=478) 57.9% (254) 42.1% (185) p < .001 69.7% (333) 30.3% (145) p = .003 44.0% (191) 56.0% (243) p = .106
Own leftover prescription (n=286) 37.2% (100) 62.8% (169) p < .001 61.9% (177) 38.1% (109) p = .618 48.0% (132) 52.0% (143) p = .916
Multiple sources (n=128) 44.6% (50) 55.4% (62) p = .524 59.1% (75) 40.9% (52) p = 381 49.5% (55) 50.5% (56) p = .760
Other sources (n=111) 45.5% (45) 54.5% (54) p = .625 47.7% (53) 52.3% (58) p = .003 67.0% (69) 33.0% (34) p < .001

Note: Data source was Monitoring the Future study, 2009-2016 cohorts.

a

Respondents can only be assigned to one class based on the latent class analysis. Comparisons are assessing differences between subgroups in the probability of belonging to each class separately (columns will add to approximately 100%; all estimates provided use weights).

b

p values are from Rao-Scott 2 x 2 chi-square tests12 comparing the row percentages (df = 1). Bold type indicates significant differences.