| Literature DB >> 26525082 |
Rogath Saika Kishimba1, Rose Mpembeni2, Janneth Mghamba1.
Abstract
INTRODUCTION: Ninety-four percent of all birth defects and 95% of deaths due to the birth defects occur in low and middle income countries, Tanzania among them. In Tanzania there are currently limited birth defects prevention strategies in place due to limited information on factors associated with the occurrence of birth defects.Entities:
Keywords: Birth defects; Tanzania; mortality; mothers; newborns; risk factors
Mesh:
Substances:
Year: 2015 PMID: 26525082 PMCID: PMC4613840 DOI: 10.11604/pamj.2015.20.153.4492
Source DB: PubMed Journal: Pan Afr Med J
Socio demographic characteristic of case and control groups
| Characteristics | Cases (N = 100) | Controls (N = 300) | Total (N = 400) | p-value |
|---|---|---|---|---|
|
| ||||
| Muhimbili National Hospital | 14 (14.0%) | 42 (14.0%) | 56 (14.0%) | |
| Temeke Hospital | 35 (35.0%) | 105 (35.0%) | 140 (35.0%) | |
| Mwananyamala Hospital | 34 (34.0%) | 102 (34.0%) | 136 (34.0%) | |
| Amana Hospital | 17 (17.0%) | 51 (17.0%) | 68 (17.0%) | 0.99 |
|
| ||||
| <20 | 15 (15.0%) | 40 (13.3%) | 55 (13.7%) | |
| 20 – 35 | 75 (75.0%) | 235 (78.3%) | 310 (77.5%) | |
| >35 | 10 (10.0%) | 25 (8.4%) | 35 (8.8%) | 0.78 |
|
| ||||
| < 25 | 13 (13.0%) | 26 (8.7%) | 39 (9.8%) | |
| 25-30 | 40 (40.0%) | 124 (41.3%) | 164 (41.0%) | |
| >30 | 47 (47.0%) | 150 (50.0%) | 197(49.2%) | 0.45 |
|
| ||||
| None | 7 (7.0%) | 25 (8.3%) | 32 (8.0%) | |
| Primary school | 74 (74.0%) | 219 (73.0%) | 293 (73.3%) | |
| Secondary school or higher | 19 (19.0%) | 56 (18.7%) | 75 (18.7%) | 0.91 |
|
| ||||
| Non married | 11 (11.0%) | 28 (9.3%) | 39 (9.7%) | |
| Married | 89 (89.0%) | 272 (90.7%) | 361(90.3%) | 0.63 |
|
| ||||
| Female | 48 (49.5%) | 166 (55.3%) | 214 (53.5%) | |
| Male | 49 (50.5%) | 134 (44.7%) | 183 (45.8%) | 0.32 |
Three newborns had ambiguous sex and so were excluded
Crude and adjusted odds ratios for factors associated with birth defects
| Characteristics | Case, N = 100 n (%) | Control, N = 300 n (%) | COR(95% CI) | AOR(95% CI) |
|---|---|---|---|---|
|
| ||||
| <20 | 15 (15.0) | 40 (13.3) | Ref | |
| 20 – 35 | 75 (75.0) | 235 (78.3) | 0.85 (0.45-1.63) | 0.95 (0.42-2.13) |
| >35 | 10 (10.0) | 25 (8.4) | 1.07 (0.42-2.73) | 1.19 (0.37-3.87) |
|
| ||||
| No | 67 (67.0) | 242 (80.7) | Ref | |
| Yes | 33 (33.0) | 58 (19.3) | 2.17 (1.30-3.61) | 1.99 (1.14-3.52) |
|
| ||||
| No | 60 (60.0) | 211 (70.3) | Ref | |
| Yes | 40 (40.0) | 89 (29.7) | 1.58 (0.99-2.53) | 1.02 (0.55-1.92) |
|
| ||||
| No | 98 (98.0) | 299 (99.7) | Ref | |
| Yes | 2 (2.0) | 1 (0.3) | 6.1 (0.55-68.02) | 7.60 (0.68-85.41) |
|
| ||||
| No | 86 (86.0) | 289 (96.3) | Ref | |
| Yes | 14 (14.0) | 11 (3.7) | 4.28 (1.87-9.77) | 3.99 (1.67-9.54) |
|
| ||||
| No | 25 (25.0) | 48 (16.0) | Ref | |
| Yes | 73 (73.0) | 252 (84.0) | 0.56 (0.32-0.96) | 0.59 (0.33-1.06) |
|
| ||||
| No | 31 (31.0) | 61 (20.3) | Ref | |
| Yes | 69 (69.0) | 239 (79.7) | 0.57 (0.34-0.94) | 0.48 (0.28-0.84) |
|
| ||||
| ≥2500 | 77 (77.0) | 279 (93.0) | Ref | |
| <2500 | 23 (23.0) | 21 (7.0) | 3.97 (2.09-7.55) | 3.48 (1.77-6.85) |
|
| ||||
| Female | 47 (47.0) | 166 (55.3) | Ref | |
| Male | 53 (53.0) | 134 (44.7) | 1.40 (0.89-2.20) | 1.54 (0.94-2.49) |
|
| ||||
| (Born <37 weeks) | ||||
| No | 55 (55.0) | 189 (63.0) | Ref | |
| Yes | 45 (45.0) | 111 (37.0) | 1.39 (0.88-2.20) | 1.55 (0.94-2.57) |
|
| ||||
| 25-30 | 40 (40.0) | 124 (41.3) | Ref | |
| <25 | 13 (13.0) | 26 (8.7) | 1.55 (0.73-3.29) | 1.39 (0.57-3.45) |
| >30 | 47 (47.0) | 150 (50.0) | 0.97 (0.59-1.58) | 0.94 (0.54-1.64) |
Statistically significant at p ≤ 0.05