# Table 4 Bi-variate logistic regression analysis of factors associated with impaired eGFR using CG-equation, Jimma University Medical Center, Ethiopia, 2017

Variables Impaired eGFR by CG
Yes
n = 138
No
n = 284
COR (95%CI) P-value
Age > = 60 year 60 (43.5%) 65 (22.9%) 3.56 (2.146, 5.920) .000
40-59 year 42 (30.4%) 80 (28.2%) 2.027 (1.201, 3.421) .008
<40 year 36 (26.1%) 139 (48.9%) 1
Sex Male 87 (63.0%) 128 (45.1%) 2.079 (1.370, 3.156) .001
Female 51 (37.0%) 156 (54.9%) 1
Residence Rural 98 (71.0%) 156 (54.9%) 2.01 (1.3, 3.108) .002
Urban 40 (29.0%) 128 (45.1%) 1
Formal education Yes 58 (42%) 173 (60.9%) 0.465 (.308, .703) .000
No 80 (58%) 111 (39.1%) 1
Occupation Non-farmer 72 (52.2%) 189 (66.5%) 0.548 (.362, .830) .005
Farmer 66 (47.8%) 95 (33.5%) 1
Cigarette smoking Yes 11 (8.0%) 11 (3.9%) 2.150 (.908, 5.089) .082
No 127 (92.0%) 273 (96.1%) 1
Khat chewing Yes 60 (43.5%) 89 (31.3%) 1.685 (1.108, 2.564) .015
No 78 (56.5%) 195 (68.7%) 1
Physical exercise > = 150 min/week 55 (39.9%) 86 (30.3%) 1.610 (1.021, 2.538) .040
< 150 min/week 25 (18.1%) 52 (18.3%) 1.210 (.687, 2.131) .509
No 58 (42.0%) 146 (51.4%) 1
History of known HTN Yes 72 (52.2%) 91 (32.0%) 2.31 (1.525, 3.510) .000
No 66 (47.8%) 193 (68.0%) 1
BP (mmHg) > = 140/90 54 (39.1%) 62 (21.8%) 2.805 (1.758, 4.476) .000
120–139/80–89 25 (18.1%) 32 (11.3%) 2.52 (1.382, 4.581) .003
< 120/80 59 (42.8%) 190 (66.9%) 1