Table 5. Regressions by number and type of NCDs.
Variable | PHQ (Modeled = Depressed) | PACIC (Modeled = Med/high) | AUDIT (Modeled = Mod/high) | Morisky (Modeled = Mod/high) |
---|---|---|---|---|
AOR (95% CI AOR) | AOR (95% CI AOR) | AOR (95% CI AOR) | AOR (95% CI AOR) | |
Arthritis (0 vs 1) |
0.61 (0.38, 0.97) Arthritics → higher depression |
0.78 (0.49, 1.25) | 1.07 (0.52, 2.19) | 0.69 (0.40, 1.18) |
Diabetes (0 vs 1) | 0.80 (0.54, 1.20) |
0.41 (0.27, 0.60) Diabetics → higher perception care quality |
1.39 (0.76, 2.53) | 0.85 (0.53, 1.34) |
High Cholesterol (0 vs 1) | 1.37 (0.86, 2.18) | 1.00 (0.65, 1.54) | 1.05 (0.55, 2.01) | 0.75 (0.45, 1.24) |
Hypertension (0 vs 1) | 0.91 (0.62, 1.35) | 0.93 (0.64, 1.38) | 1.42 (0.80, 2.54) | 0.81 (0.51, 1.28) |
Depression (0 vs 1) | N/A |
0.60 (0.38, 0.93) Higher perception → lower depression |
0.94 (0.52, 1.69) |
0.48 (0.27, 0.84) More depressed, less adherent |
Number of NCD†(continuous) |
2.48 (2.05, 3.01) Higher # NCDs → higher depression |
1.19 (1.02, 1.39) Higher # NCDs → higher perception of care quality |
0.82 (0.65, 1.05) | 1.09 (0.91, 1.32) |
Bolded ORs are significant predictor variables (95% CI does not include 1).
† Separate logistic model was fitted for number of NCD.