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Table 5 Socio-demographic factors that associated with depression in bivariate analysis (< .25) among CVD patients in Jimma University Teaching Hospital cardiac clinic, 2014–2015

From: Determinates of depressive disorder among adult patients with cardiovascular disease at outpatient cardiac clinic Jimma University Teaching Hospital, South West Ethiopia: cross-sectional study

Characteristics Non depressed
N (%)
Depressed
N (%)
COR (95% CI) P-value
Age
 18–26 17 (12.7) 17 (11.3) 1.077 (.456, 2.541) .866
 27–35 15 (11.2) 21 (14.0) 1.508 (.644, 3.531) .344
 36–44 20 (14.9) 13 (8.7) .700 (.291, 1.686) .426
 45–53 22 (16.4) 25 (16.7) 1.224 (.559, 2.678) .613
 54–62 28 (20.9) 26 (17.3) 1  
 63–71 22 (16.4) 28 (18.7) 1.371 (.633, 2.968) .424
 ≥ 72 10 (7.5) 20 (13.3) 2.154 (.852, 5.448) .105a
Marital status
 Single 20 (14.9) 13 (8.7) .615 (.291, 1.298) .202a
 Married 105 (78.4) 111 (74.0) 1  
 Divorced/separate 4 (3.0) 10 (6.7) 2.365 (.720, 7.772) .156a
 Widowed 5 (3.7) 16 (10.7) 3.027 (1.071, 8.556) .037a
Educational status
 Illiterate 67 (50.0) 84 (56.0) 1  
 Able to read and write only 20 (14.9) 36 (24.0) 1.436 (.762, 2.706) .263
 Primary (1–8) 28 (20.9) 19 (12.7) .541 (.278, 1.053) .070a
 Secondary (9–12) 14 (10.4) 7 (4.7) .399 (.152, 1.044) .061a
 Tertiary (+12) 5 (3.7) 4 (2.7) .638 (.165, 2.470) .515
Employment status
 Unemployed 16 (11.9) 35 (23.3) 2.069 (1.053, 4.067) .035a
 Employed 12 (9.0) 4 (2.7) .315 (.097, 1.024) .055a
 Farmer 70 (52.2) 74 (49.3) 1  
 Merchant 9 (6.7) 10 (6.7) 1.051 (.403, 2.740) 919
 Retired 7 (5.2) 5 (3.3) .676 (.205, 2.228) .52
 Housewife 11 (8.2) 14 (9.3) 1.204 (.512, 2.830) .67
 Other 9 (6.7) 8 (5.3) .841 (.307, 2.301) .736
Residence
 Rural areas 80 (59.7) 103 (68.7) 1  
 Urban areas 54 (40.3) 47 (31.3) .676 (.415, 1.101) .116a
Average annual income
 0–999 33 (24.6) 37 (24.7) 1.393 (.723, 2.684) .322
 1000–3599 32 (23.9) 37 (24.7) 1.437 (.743, 2.776) .281
 3600–10,799 28 (20.9) 43 (28.7) 1.908 (.985, 3.694) .055a
 ≥ 10,800 41 (30.6) 33 (22.0) 1  
  1. aVariables which shown statistically significant association during the bivariate analysis