Table 3.
Regression Models Used to Predict Mobility Index
| Model | Explained Variance | Model Significance | Significant Predictors | Likelihood-Ratio Test (compared to covariate) |
|---|---|---|---|---|
| Covariate model | R 2 = .3699 | F(16,1387) = 50.89 p < .0001 | OAtype (p < .0001) Age (p < .001; β = −0.45) Sex (p = .43; β = −0.02) BMI (p < .001; β = −0.26)CES-D-10 (p < .001; β = −0.08)EDU (p = .003; β = 0.07)INC (p = .002; β = 0.08) SEQ (p = .13; β = 0.03) HRT (p = .05; β = 0.04)DIA (p = .003; β = 0.07)KID (p = .52; β = 0.01) | |
| Covariates +NUTHC | R 2 = .3700 | F(17,1386) = 47.88 p < .0001 | NUTHC (p = .74; β = −0.01) | p = .74 |
| Covariates +NUTFBR | R 2 = .3727 | F(17,1386) = 48.43 p < .0001 | NUT FBR (p = .01; β = 0.05) | p = .01 |
| Covariates +NURSCR | R 2 = .3751 | F(17,1386) = 48.94 p < .0001 | NUR SCR (p = .001; β = 0.08) | p = .001 |
| Covariates +NURCLS | R 2 = .3724 | F(18,1385) = 45.66 p < .0001 | NURCLS (p = .06) | p = .06 |
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.