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. 2024 Sep 10;16(9):e69065. doi: 10.7759/cureus.69065

Table 4. Multivariate binary logistic regression analysis of predictors of metabolic syndrome in patients with schizophrenia, Ethiopia (N = 271).

*p < 0.05

AOR: Adjusted odds ratio; BMI: Body mass index; CPZ: Chlorpromazine; COR: Crude odds ratio; SD: Standard deviation; DUP: Duration of untreated psychosis; PANSS: Positive and negative syndrome scale

Variables Without MetS With MetS COR (95% CI) AOR (95% CI)
Gender
Male 163 (66.8) 81 (33.2) 1 1
Female 11 (40.7) 16 (59.3) 2.9 (1.3, 2.6) 3 (1.2, 7.4)*
Employment status
Employed 70 (59.3) 48 (40.7) 1 1
Unemployed 104 (68) 49 (32) 0.67 (0.4, 1.1) 0.7 (0.4, 1.1)
Substance use
Yes 76 (59.8) 51 (40.2) 1 1
No 98 (68.1) 46 (31.9) 0.7 (0.4, 1.2) 0.6 (0.3, 1.0)
BMI
<25 150 (66.1) 77 (33.9) 1 1
≥25 24 (54.5) 20 (45.5) 1.6 (0.8, 3.1) 1.4 (0.7, 2.9)
Medication type
Risperidone 112 (72.3) 43 (27.7) 1 1
Olanzapine 62 (53.4) 54 (46.6) 2.3 (1.4, 3.8) 2.2 (1.3, 3.7)*
Medication switch
Yes 88 (59.5) 60 (40.5) 1 1
No 86 (69.9) 37 (30.1) 0.6 (0.4, 1.1) 0.6 (0.4, 1.1)
PANSS total score (mean, SD) 68.6 (35.7) 75.5 (36) 1.01 (0.9, 1.0) 1 (0.9, 1.0)
DUP (years)
<1 116 (61.1) 74 (38.9) 1 1
≥1 58 (71.6) 23 (28.4) 0.6 (0.4, 1.1) 0.6 (0.3, 1.1)