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. 2022 Aug 10;63(10):1196–1205. doi: 10.1111/jcpp.13664

Table 2.

Decomposition of best‐model components based on exposomic subdomains

Proximal contextual (k = 36) Broader contextual (k = 49) Life events (k = 48)
INT
σG2
0.053 (−0.085, 0.191) 0.060 (−0.087, 0.206) b 0.055 (−0.08, 0.189)
σE2
0.079 (0.039, 0.119) a 0.029 (0.013, 0.045) a 0.108 (0.06, 0.155) a , b
σG×E2
0.129 (0.058, 0.198) a , b −0.012 (−0.04, 0.016) 0.119 (0.061, 0.176) a
EXT
σG2
0.079 (−0.044, 0.201) 0.167 (0.019, 0.316) a , b 0.134 (0, 0.268)
σE2
0.163 (0.084, 0.242) a , b 0.045 (0.023, 0.067) a 0.112 (0.062, 0.161) a
σG×E2
0.280 (0.21, 0.35) a , b 0.038 (−0.026, 0.102) 0.199 (0.138, 0.258) a

σ 2 = variance components reflect proportions of total variance estimated by the model; residual (e) components not shown.

a

Nonzero overlapping 95% confidence interval.

b

Largest variance explained by that component (row‐wise) across the three exposomic subdomains: Proximal contextual = E comprising 36 friends/caregiver/family/school variables; Broader contextual = E comprising 49 neighborhood/area‐level variables; Life events = E comprising 48 life event variables.