Table 1
Key demographics distribution of U5 mortality by age category, province, resident and gender (n = 5,772).
| VARIABLE | CHILD IS ALIVE (FREQUENCY) | ||
|---|---|---|---|
| YES | NO | TOTAL | |
| Under‑5‑year mortality by age category | |||
| Neonates (< 28 days old) | 461 | 84 | 545 |
| Infants (28 days ≤ age ≤1 year) | 992 | 353 | 1,345 |
| Children (1 year < age ≤ 5 years) | 3,136 | 746 | 3,882 |
| Total | 4,589 (79.5%) | 1,183 (20.5%) | 5,772 (100%)* |
| Under‑5‑year mortality by province | |||
| Manicaland | 558 | 189 | 747 |
| Mashonaland Central | 542 | 151 | 693 |
| Mashonaland East | 422 | 145 | 567 |
| Mashonaland West | 559 | 174 | 733 |
| Matabeleland North | 365 | 93 | 458 |
| Matabeleland South | 284 | 54 | 338 |
| Midlands | 543 | 125 | 668 |
| Masvingo | 495 | 112 | 607 |
| Harare | 541 | 99 | 640 |
| Bulawayo | 280 | 41 | 321 |
| Total | 4,589 (79.5%) | 1,183 (20.5%) | 5,772 (100%) * |
| Under‑5‑year mortality by sex | |||
| Male | 2,256 | 645 | 2,901 |
| Female | 2,333 | 538 | 2,871 |
| Total | 4,589 (79.5%) | 1,183 (20.5%) | 5,772 (100%) * |
| Under‑5‑year mortality by geographical location | |||
| Urban | 1,699 | 309 | 2,008 |
| Rural | 2,890 | 874 | 3,764 |
| Total | 1,183 (20.5%) | 1,183 (20.5%) | 5,772 (100%) * |
| Father’s age group (years) | |||
| 15–19 | 49 | ||
| 20–24 | 243 | ||
| 25–29 | 643 | ||
| 30–34 | 901 | ||
| 35–39 | 824 | ||
| 40–44 | 599 | ||
| 45–49 | 385 | ||
| 50–54 | 243 | ||
| Total | 3,887* | ||
| Father’s level of education | |||
| No education | 42 | ||
| Primary | 957 | ||
| Secondary | 2,358 | ||
| Higher | 530 | ||
| Total | 3,887* | ||
[i] *Total number of children (5,722) differed from the total number of fathers (3,887) due to a father/household having more than one eligible child. The sample size of 5,722 was used in the final analysis, as each child was treated independently.
Table 2
Bivariate logistic regression of paternal factors for infant mortality.
| CHILD ALIVE | ODDS RATIO | P > Z | 95% CONFIDENCE INTERVAL | |
|---|---|---|---|---|
| Father’s age (years) | ||||
| 15–19 | 1.35 | 0.000 | 1.24 | 1.67 |
| 20–24 | 1.22 | 0.002 | 1.15 | 2.34 |
| 25–29 | 1.13 | 0.031 | 1.05 | 1.87 |
| 30–34 | 1.09 | 0.341 | 0.96 | 2.11 |
| 35–39 | 1.01 | 0.401 | 0.88 | 1.77 |
| 40–44 | 0.91 | 0.002 | 0.60 | 0.98 |
| 45–49 | 0.80 | 0.001 | 0.73 | 0.94 |
| 50–54 | 1 | – | – | – |
| Residence | ||||
| Urban | 1 | – | – | – |
| Rural | 1.31 | 0.000 | 1.18 | 1.45 |
| Paternal education | ||||
| No education | 1.36 | 0.006 | 1.13 | 1.74 |
| Primary | 1.13 | 0.041 | 1.04 | 2.31 |
| Secondary | 0.96 | 0.021 | 0.66 | 1.42 |
| Higher | 1 | – | – | – |
| Religion | ||||
| Apostolic sect | 1.22 | 0.087 | .73 | 1.98 |
| Christian | 0.86 | 0.213 | 0.44 | 1.77 |
| Other | 1 | – | – | – |
| Wealth index | ||||
| Poorer | 1.29 | 0.014 | 1.10 | 2.09 |
| Middle | 1.11 | 0.023 | 0.91 | 1.60 |
| Richer | 0.87 | 0.004 | 0.79 | 0.96 |
| Richest | 1 | – | – | – |
| Father’s smoking | ||||
| Smoker | 1.13 | 0.295 | 0.90 | 1.41 |
| Non‑smoker | 1 | – | – | – |
| Employment status | ||||
| Unemployed | 1.76 | 0.001 | 1.32 | 1.94 |
| Employed | 1 | – | – | – |
| Work category | ||||
| White collar | 1 | – | – | – |
| Blue collar | 1.21 | 0.031 | 1.00 | 1.31 |
| Alcohol intake | ||||
| Yes | 1.11 | 0.468 | 0.84 | 1.47 |
| No | 1 | – | – | – |
Table 3
Bivariate logistic regression of paternal factors for child mortality.
| CHILD ALIVE | ODDS RATIO | P > Z | 95% CONFIDENCE INTERVAL | |
|---|---|---|---|---|
| Father’s age (years) | ||||
| 15–19 | 1.35 | 0.000 | 1.24 | 1.48 |
| 20–24 | 1.22 | 0.001 | 1.02 | 1.78 |
| 25–29 | 1.13 | 0.021 | 1.05 | 1.65 |
| 30–34 | 1.11 | 0.022 | 1.01 | 2.31 |
| 35–39 | 1.08 | 0.041 | 0.98 | 1.33 |
| 40–44 | 0.90 | 0.004 | 0.40 | 0.98 |
| 45–49 | 0.78 | 0.011 | 0.68 | 0.95 |
| 50–54 | 1 | – | – | – |
| Paternal education | ||||
| No education | 1.18 | 0.006 | 1.01 | 1.95 |
| Primary | 1.11 | 0.021 | 1.03 | 1.33 |
| Secondary | 0.87 | 0.002 | 0.53 | 0.97 |
| Higher | 1 | – | – | – |
| Wealth index | ||||
| Poorer | 1.40 | 0.001 | 1.11 | 2.30 |
| Middle | 1.09 | 0.021 | 1.01 | 1.98 |
| Richer | 0.82 | 0.025 | 0.68 | 0.97 |
| Richest | 1 | – | – | – |
| Father’s smoking | ||||
| Smoker | 1.01 | 0.955 | 0.78 | 1.31 |
| Non‑smoker | 1 | – | – | – |
| Residence | ||||
| Urban | 1 | – | – | – |
| Rural | 1.86 | 0.0021 | 1.00 | 1.43 |
| Work category | ||||
| White collar | 1 | – | – | – |
| Blue collar | 1.01 | 0.0028 | 1.00 | 1.22 |
| Alcohol intake | ||||
| Yes | 1.13 | 0.478 | 0.81 | 1.56 |
| No | 1 | – | – | – |
| Religion | ||||
| Apostolic sect | 0.85 | 0.072 | 0.98 | 1.00 |
| Christian | 1 | – | – | – |
| Employment status | ||||
| Unemployed | 1.27 | 0.0032 | 1.19 | 2.03 |
| Employed | 1 | – | – | – |
Table 4
Adjusted logistic regression for infants.
Table 5
Adjusted logistic regression for children.

Figure 1
Kaplan–Meier survival estimates for father’s age.

Figure 2
Kaplan–Meier survival estimates for father’s age group.

Figure 3
Survival estimate for father’s wealth index.

Figure 4
Survival estimate for father’s work category.

Figure 5
Survival estimates for father’s level of education.
