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. Author manuscript; available in PMC: 2012 Sep 1.
Published in final edited form as: Psychol Med. 2011 Jan 20;41(9):1907–1916. doi: 10.1017/S003329171000259X

Table 3.

Path estimates for the best-fit model of substance consumptiona

Factor (age) Factor loadings
Genetic factors
Shared environmental factors
Unique environmental factors
SM ETOH DU Total Total Total
a2, % A1 A2 A3 c2, % C1 C2 C3 e2, % E1 E2 E3
1 (13–14) 0.94 0.82 0.62 52 0.72 35 0.59 13 0.36
2 (16–17) 0.87 0.76 0.85 54 0.70 0.21 34 0.43 0.40 12 −0.03 0.35
3 (19–20) 0.72 0.53 0.82 53 0.63 0.32 0.36 19 0.30 0.31 −0.07 18 0.05 0.13 0.40

Factor loading, depicted in Fig. 1, connects the common factor to self-reported substance use; a2, heritability or proportion of variance in substance use resulting from genetic factors; c2, proportion of variance in substance use resulting from shared environmental factors; e2, proportion of variance in substance use resulting from unique environmental factors; A1, A2 and A3, additive genetic path estimates at ages 13–14, 16–17 and 19–20 respectively; C1, C2 and C3, shared environment path estimates at ages 13–14, 16–17 and 19–20 respectively; E1, E2 and E3, unique environment path estimates at ages 13–14, 16–17 and 19–20 respectively; SM, regular smoking; ETOH, alcohol intoxication; DU, illicit drug use.

a

Results for ‘ upper portion ’ of the model only (Fig. 1).