Table 4.
Regression Models Used to Predict General Health Index
| Model | Explained Variance | Model Significance | Significant Predictors | Likelihood-Ratio Test (compared to covariate) |
|---|---|---|---|---|
| Covariate model | R 2 = .2531 | F(16,1387) = 29.37 p < .0001 | OAtype (p = .89) Age (p = .001; β = 0.09)Sex (p = .006; β = 0.07)BMI (p < .001; β = −0.19)CES-D-10 (p < .001; β = −0.33)EDU (p = .004; β = 0.07) INC (p = .83; β = 0.01) SEQ (p < .001; β = 0.16)HRT (p < .001; β = 0.12)DIA (p = .003; β = 0.07)KID (p = .41; β = −0.02) | |
| Covariates +NUTHC | R 2 = .2538 | F(17,1386) = 27.73 p < .0001 | NUTHC (p = .24; β = −0.03) | p = .23 |
| Covariates +NUTFBR | R 2 = .2533 | F(17,1386) = 27.66 p < .0001 | NUTFBR (p = .47; β = 0.02) | p = .46 |
| Covariates +NURSCR | R 2 = .2674 | F(17,1386) = 29.76 p < .0001 | NUR SCR (p < .001; β = 0.13) | p < .0001 |
| Covariates +NURCLS | R 2 = .2666 | F(18,1385) = 27.97 p < .0001 | NUR CLS NUR CLS 2 (p = .001; β = −0.09)NURCLS3 (p < .001; β = −0.13) | p < .0001 |
Note: Independent variables: frequency of high calorie snacks (NUTHC), frequency of high fiber cereal (NUTFBR), nutrition risk score (NURSCR), and nutrition risk classification (NURCLS, 2 = moderate risk, 3 = high risk). Covariates: OA type, age, sex, body mass index (BMI), depressive symptoms (CES-D-10), education level (EDU), income (INC), social inequality (SEQ), heart disease (HRT), diabetes (DIA), and kidney disease (KID). Bolded values indicate significant findings.