Table 3.
Linear regression model predicting diet quality from food insecurity and food stamp participation, for Blacks only.
Predictor | ba | S.E.a | t | p | |
---|---|---|---|---|---|
Food Insecurity | −1.44 | 0.57 | −2.55 | .011 | |
Food Stamps | −2.74 | 0.90 | −3.03 | .002 | |
Food Insecurity * Food Stamps | 0.80 | 0.39 | 2.03 | .042 | |
Covariates | |||||
Poverty Status | −0.31 | 0.69 | −0.45 | .65 | |
Age | 0.13 | 0.04 | 3.50 | <.001 | |
Single Parent | 0.43 | 0.68 | 0.62 | .53 | |
Sex | −1.95 | 0.67 | −2.93 | .003 | |
Education | 0.53 | 0.13 | 4.05 | <.001 | |
Alcohol & Drug Use | −0.21 | 0.56 | −0.38 | .71 | |
Diabetes/Metabolic | 0.74 | 0.70 | 1.05 | .29 | |
Neurological | 0.85 | 3.07 | 0.28 | .78 | |
Inflammatory | 1.33 | 1.02 | 1.30 | .19 | |
Cancer | −1.70 | 1.58 | −1.08 | .283 | |
Constant | 34.72 | 2.90 | 11.96 | <.001 |
Unstandardized regression coefficients.