Table 1.
Socio-demographic characteristics of patients with COVID-19 with hyperglycaemia
| Variable | Total n = 711(%) | Hyperglycaemia | COR(95% CI) | P-value | |
|---|---|---|---|---|---|
| No n = 252(%) | Yes n = 459(%) | ||||
| Sex | 0.878 | ||||
| Female | 333(46.8) | 119(47.2) | 214(46.6) | 1 | |
| Male | 378(53.2) | 133(52.8) | 245(53.4) | 1.02(0.8, 1.4) | 0.878 |
| Age (Years) | 0.001 | ||||
| 18–29 | 44(6.2) | 6(2.4) | 38(8.3) | 1 | |
| 30–39 | 69(9.7) | 11(4.4) | 58(12.6) | 0.8(0.3, 2.4) | 0.738 |
| 40–49 | 118(16.6) | 52(20.6) | 66(14.4) | 0.2(0.1, 0.5) | 0.001 |
| 50–59 | 152(21.4) | 58(23.0) | 94(20.5) | 0.3(0.1, 0.6) | 0.004 |
| 60+ | 328(46.1) | 125(49.6) | 203(44.2) | 0.3(0.1, 0.6) | 0.003 |
| Level of education completed | 0.001 | ||||
| No formal schooling | 170(23.9) | 13(5.2) | 157(34.2) | 1 | |
| Primary school | 277(39.0) | 137(54.4) | 140(30.5) | 0.1(0.04, 0.2) | 0.001 |
| Secondary school | 116(16.3) | 51(20.2) | 65(14.2) | 0.1(0.1, 0.2) | 0.001 |
| Tertiary level | 148(20.8) | 51(20.2) | 97(21.1) | 0.2(0.1, 0.3) | 0.001 |
| Employment | 0.001 | ||||
| Business | 94(13.2) | 34(13.5) | 60(13.1) | 1.1(0.7,1.9) | 0.689 |
| Formal employment | 155(21.8) | 60(23.8) | 95(20.7) | 1 | |
| Peasant | 360(50.6) | 140(55.6) | 220(47.9) | 1.0(0.7, 1.5) | 0.969 |
| Student | 21(3.0) | 1(0.4) | 20(4.4) | 12.6(1.7, 96.6) | 0.015 |
| Unemployed | 81(11.4) | 17(6.7) | 64(13.9) | 2.4(1.3, 4.4) | 0.007 |
| Residence | 0.002 | ||||
| Rural | 527(74.1) | 204(81.0) | 323(70.4) | 1 | |
| Urban | 184(25.9) | 48(19.0) | 136(29.6) | 1.8(1.2, 2.6) | 0.002 |
| A known DM | 497(69.9) | 102(40.5) | 395(86.1) | 9.1(6.3, 13.1) | 0.001 |