Table 2 Socio-demographic characteristics associated with mortality among study participants
From: Predictors of mortality among children at a tertiary hospital in Tanzania: a cohort study
Variables | Death | Survival | P-value |
|---|---|---|---|
n (%) | n (%) | ||
Age (months) | |||
01–11 | 60 (13.9) | 373 (86.1) | |
12–23 | 32 (13.7) | 201 (86.3) | |
24–59 | 21 (8.7) | 238 (91.9) | 0.059 |
Sex | |||
Male | 61 (11.1) | 487 (88.9) | |
Female | 52 (13.8) | 325 (86.2) | 0.220 |
Caregiver | |||
Father | 86 (12.8) | 588 (87.2) | |
Mother | 22 (12.7) | 151 (87.3) | |
Others | 5 (6.4) | 73 (93.6) | 0.270 |
Maternal age | |||
< 20 | 7 (12.3) | 50 (87.7) | |
20–34 | 90 (13.5) | 578 (86.5) | |
≥ 35 | 16 (8.2) | 179 (91.8) | 0.143 |
Education level | |||
No formal education | 16 (21.1) | 60 (78.9) | |
Primary | 54 (14.8) | 312 (85.2) | |
Secondary | 23 (9.8) | 211 (90.2) | |
College/ University | 20 (8.0) | 299 (92.0) | 0.005 |
Occupation of caregiver | |||
Employed | 24 (8.4) | 270 (91.8) | |
Peasant | 12 (11.0) | 97 (89.0) | |
Petty trader | 60 (17.7) | 279 (82.3) | |
Unemployed | 17 (9.3) | 166 (90.7) | 0.001 |
Health insurance | |||
Insured | 16 (6.4) | 235 (93.6) | |
No insurance | 97 (14.4) | 577 (85.6) | 0.001 |
Wealth quintiles | |||
Lowest (poorest) | 29 (15.8) | 155 (84.2) | |
Second | 35 (18.8) | 151 (81.2) | |
Middle | 24 (13.0) | 160 (87.0) | |
Fourth | 19 (9.2) | 188 (90.8) | |
Highest (Richest) | 6 (3.7) | 158 (96.3) | < 0.001 |