Table 2.
Multilevel models testing exposure to violence on daily obesogenic behaviors.
Statistic | Daily Obesogenic Outcomes
|
|||||
---|---|---|---|---|---|---|
Unhealthy Dietary Consumption | Feeling Tired | Physically Active | ||||
Fixed Effects (intercepts, slopes) | b (SE) | OR | b (SE) | OR | b (SE) | OR |
| ||||||
Exposure to Violence (ETV) | 0.12**(0.05) | 0.03 | 0.46** (0.16) | 1.58 | 0.48** (0.14) | 1.61 |
Percentage of Days ETV (Person Level) | 0.002 (0.004) | 0.02 | ?0.002 (0.01) | 1.00 | 0.002 (0.01) | 1.00 |
Intercept | 1.24*** (0.05) | – | 0.57*** (0.14) | 1.77 | 0.94*** (0.13) | 2.57 |
Random Effects (variances, covariances) | Estimate | SE | Estimate | SE | Estimate | SE |
| ||||||
Intercept | 0.41*** | 0.05 | 2.45*** | 0.36 | 2.00*** | 0.30 |
Autocorrelation | 0.15*** | 0.02 | 0.11*** | 0.02 | 0.17*** | 0.02 |
Residuala | 0.70*** | 0.02 | 0.87+ | 0.85+ | ||
Variance Explained | Estimate | Estimate | Estimate | |||
| ||||||
R2f | 0.2% | 0.1% | 0.3% | |||
R2fr | 39.4% | 36.3% | 29.0% |
Note. OR=Odds ratio from a multilevel logistic model. b = unstandardized logit regression coefficient, VAR = variance parameter, COV = covariance parameter, CORR = correlation. R2f = Pseudo R2 for full model using fixed effects; R2fr = Pseudo R2 for full model using fixed and random effects.
p < 0.001,
p < 0.01,
p < 0.05.
For logistic models, the residual is a dispersion parameter tested against 1. Models where the 95% confidence interval for the dispersion parameter does not include 1 are marked with a +.