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. 2018 Feb 7;13(2):e0189218. doi: 10.1371/journal.pone.0189218

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.