| Literature DB >> 31399144 |
Binalfew Tsehay1, Desalegn Shitie2, Akilog Lake3, Erimiyas Abebaw4, Amisalu Taye2, Enatinesh Essa2.
Abstract
OBJECTIVE: Although infant mortality because of birth defect has increased in both developed and developing countries, had not got attention like other health issues at national, regional, or local levels. Documenting the risk factors that influence the occurrence of birth defects and its seasonality will help to inform the community and to develop preventive strategies for the country.Entities:
Keywords: Birth defect; Environmental exposure; Maternal illness; Maternal medication use
Mesh:
Substances:
Year: 2019 PMID: 31399144 PMCID: PMC6688374 DOI: 10.1186/s13104-019-4541-4
Source DB: PubMed Journal: BMC Res Notes ISSN: 1756-0500
Socio demographic characteristics of the study sample
| Characteristics | Cases (n = 100) | Controls (n = 298) | Total |
|---|---|---|---|
| Maternal age | |||
| ≤ 20 | 10 (23.8%) | 32 (76.2%) | 42 (100.0%) |
| 20–35 | 75 (22.7%) | 256 (77.3%) | 331 (100.0%) |
| > 35 | 15 (60%) | 10 (40%) | 25 (100.0%) |
| Marital status of the mother | |||
| Married | 94 (24.2%) | 294 (75.8%) | 388 (100.0%) |
| Unmarried | 6 (60.0%) | 4 (40.0%) | 10 (100.0%) |
| Father’s age | |||
| < 35 | 51 (19.3%) | 213 (80.7%) | 264 (100.0%) |
| ≥ 35 | 49 (36.6%) | 85 (63.4%) | 134 (100.0%) |
| Residence | |||
| Urban | 51 (21.9%) | 182 (78.1%) | 233 (100.0%) |
| Rural | 49 (29.7%) | 116 (70.3%) | 165 (100.0%) |
| Primary address during 1st trimester | |||
| Dega | 25 (39.1%) | 39 (60.9%) | 64 (100.0%) |
| Woyina Dega | 34 (18.6%) | 149 (81.4%) | 183 (100.0%) |
| Kolla | 41 (27.2%) | 110 (72.8%) | 151 (100.0%) |
| Monthly income of the family | |||
| ≤ 500 | 24 (58.5%) | 17 (41.5%) | 41 (100.0%) |
| 500–10,000 | 70 (23.3%) | 230 (76.7%) | 300 (100.0%) |
| ≥ 10,000 | 6 (10.5%) | 51 (89.5%) | 57 (100.0%) |
| Father’s ethnicity | |||
| Amhara | 100 (25.3%) | 296 (74.7%) | 396 (100.0%) |
| Oromo | 0 (0.0%) | 2 (100.0%) | 2 (100.0%) |
| Mother’s ethnicity | |||
| Amhara | 96 (25.1%) | 286 (74.9%) | 382 (100.0%) |
| Oromo | 0 (0.0%) | 8 (100.0%) | 8 (100.0%) |
| Tigrie | 4 (50.0%) | 4 (50.0%) | 8 (100.0%) |
Fig. 1Distributions of major structural birth defects among cases
Risk and protective factors associated with major structural birth defects
| Characteristics | Cases | Controls | COR with 95% CI | AOR with 95% CI |
|---|---|---|---|---|
| Count (%) | Count (%) | |||
| Maternal age | ||||
| ≤ 20 | 10 (10%) | 32 (10.7%) | 1.1 (0.5–2.2) | |
| 20–35 | 75 (75%) | 256 (85.9%) | 1 | 1 |
| > 35 | 15 (15.0%) | 10 (3.4%) | 5 (2.2–11.9) | 4.9 (1.1–23.7) |
| Residence | ||||
| Urban | 51 (21.9%) | 182 (78.1%) | 0.7 (0.4–1.2) | 6.4 (1.9–21.7) |
| Rural | 49 (29.7%) | 116 (70.3%) | 1 | 1 |
| Primary address during 1st trimester | ||||
| Dega | 25 (39.1%) | 39 (60.9%) | 2.8 (1.5–5.2) | 4.3 (1.3–14) |
| Woyina Dega | 34 (18.6%) | 149 (81.4%) | 1 | 1 |
| Kolla | 41 (27.2%) | 110 (72.8%) | 1.6 (1.0–2.7) | |
| Intake of herbal medicine during pregnancy | ||||
| Yes | 40 (40%) | 36 (12%) | 4.9 (2.9–8.2) | 10.9 (4.2–28.1) |
| No | 60 (60%) | 262 (88%) | 1 | 1 |
| Alcohol intake | ||||
| Yes | 92 (92%) | 164 (55%) | 9.4 (4.4–20) | 12.7 (3.3–48.7) |
| No | 8 (8%) | 134 (45%) | 1 | 1 |
| History of high fever during pregnancy | ||||
| Yes | 54 (54%) | 48 (16%) | 6 (3.7–10.0) | 3.4 (1.3–11.6) |
| No | 46 (46%) | 250 (84%) | 1 | 1 |
| Folic acid | ||||
| Yes | 31 (31%) | 228 (76.5%) | 1 | 1 |
| No | 69 (69%) | 70 (23.5%) | 7.2 (4.39–12.0) | 7.3 (2.9–18.8) |
| Counselling for pregnancy preparation | ||||
| Yes | 30 | 190 | 1 | 1 |
| No | 70 | 108 | 4 (2.5–6.7) | 4.8 (1.9–12.1) |