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. 2008 Apr 16;3(4):e2019. doi: 10.1371/journal.pone.0002019

Table 2. Univariate biometric genetic model for binary measures of physical activity in UWTR same-sex twin pairs.

Model* Estimates of variance components Test of model fit
A C E χ2 df P value AIC
60 minute cut-point
ACE 0.27 (0.00, 0.53) 0.16 (0.00, 0.46) 0.57 (0.47, 0.67)
AE 0.45 (0.34, 0.54) 0.55 (0.46, 0.66) 0.77 1 0.38 −1.23
CE 0.39 (0.30, 0.48) 0.61 (0.52, 0.70) 1.76 1 0.18 −0.24
150 minute cut-point
ACE 0.11 (0.00, 0.39) 0.18 (0.00, 0.36) 0.71 (0.61, 0.81)
AE 0.31 (0.21, 0.40) 0.69 (0.60, 0.79) 0.91 1 0.34 −1.09
CE 0.28 (0.19, 0.36) 0.72 (0.64, 0.81) 0.31 1 0.58 −1.69
*

ACE refers to a model that includes additive genetics (A), common environment (C), and unique environment (E), AE only includes additive genetics and unique environment, and CE only includes common and unique environment;

Proportion of variance (and 95% confidence interval) due to additive genetics, shared environment, and unique environment factors according to each model;

Akaike's information criterion (AIC) is a global measure of goodness of fit, with the best-fitting and most parsimonious models shown in bold.