Table 5.
Variable | Model 1 (AIC = 1756.4) | Model 2 (AIC = 1747.9) | ||||||
---|---|---|---|---|---|---|---|---|
Estimate | ±SE | 95% CI [lower, upper] | p-value† | Estimate | ±SE | 95% CI [lower, upper] | p-value† | |
Age | 1.334 | 0.736 | [−0.108, 2.776] | 0.173 | −0.154 | 0.937 | [−1.991, 1.682] | 0.970 |
Sex (male) | 55.645 | 27.761 | [1.235, 110.056] | 0.150 | −131.596 | 76.433 | [−281.402, 18.210] | 0.175 |
Camp Type (village) | 1.132 | 26.864 | [−51.520, 53.783] | 0.970 | 0.985 | 25.969 | [−49.913, 51.882] | 0.970 |
Annual Mobility | −0.829 | 6.937 | [−14.425, 12.768] | 0.970 | −2.901 | 6.825 | [−16.277, 10.476] | 0.970 |
School (yrs) | 2.933 | 4.141 | [−5.182, 11.049] | 0.823 | −12.468 | 6.166 | [−24.554, −0.382] | 0.150 |
Age * Sex (male) | 2.752 | 1.391 | [0.026, 5.478] | 0.150 | ||||
Sex (male) * School (yrs) | 26.010 | 8.063 | [10.206, 41.813] | 0.019 * |
Model 1 results are from a generalized linear regression model with all variables present and no interactions. Model 2 results are from a generalized linear regression model with all variables present, as well as any two-way interactions between age, sex, and lifestyle variables that reduce the AIC of Model 1. Interactions for Model 2 were chosen using a simultaneous inclusion procedure. All results shown are adjusted for accelerometer wear-time.
p values shown are FDR-adjusted for multiple hypothesis testing
p<0.1
<0.05
<0.01
<0.001