| Literature DB >> 32537074 |
Abadi Kidanemariam Berhe1,2, Abiodun Olatunbosun Ilesanmi3, Christopher Odianosen Aimakhu3, Afework Mulugeta Bezabih4.
Abstract
INTRODUCTION: Pregnancy-induced hypertension is among the leading cause of maternal mortality in Tigray regional state, Ethiopia. However, there was no study in this study area about awareness of pregnancy induced hypertension among pregnant women. Therefore, the aim of this study was to assess awareness of pregnancy induced hypertension among pregnant women.Entities:
Keywords: Awareness; Ethiopia; Tigray; pregnancy-induced hypertension; pregnant women
Mesh:
Year: 2020 PMID: 32537074 PMCID: PMC7250223 DOI: 10.11604/pamj.2020.35.71.19351
Source DB: PubMed Journal: Pan Afr Med J
Socio-demographic characteristics of pregnant women attending antenatal care in general hospitals of Tigray Regional State, Ethiopia, 2018 (n=792)
| Variable | Frequency | Percent |
|---|---|---|
| ≤ 19 years | 46 | 5.8 |
| 20-34 years | 639 | 80.7 |
| ≥ 35 years | 107 | 13.5 |
| Urban | 621 | 78.4 |
| Rural | 171 | 21.6 |
| No formal education | 94 | 11.9 |
| Primary | 220 | 27.8 |
| Secondary | 252 | 31.8 |
| Diploma and above | 226 | 28.5 |
| Orthodox | 680 | 85.9 |
| Catholic | 33 | 4.2 |
| Muslim | 66 | 8.3 |
| Protestant | 13 | 1.6 |
| House wife | 368 | 46.5 |
| Farmer | 70 | 8.8 |
| Private business | 155 | 19.6 |
| Governmental/ NGO employee | 199 | 25.1 |
| Married | 723 | 91.3 |
| Single | 69 | 8.7 |
| Lowest | 156 | 19.7 |
| Second | 158 | 19.9 |
| Middle | 156 | 19.7 |
| Fourth | 162 | 20.5 |
| Highest | 152 | 19.2 |
Awareness of pregnancy induced hypertension among pregnant women attending antenatal care in general hospitals of Tigray Regional State, Ethiopia, 2018 (n=792)
| Variables | Frequency | Percent (%) |
|---|---|---|
| Yes | 459 | 58.0% |
| No | 333 | 42.0% |
| Health facility | 203 | 44.3% |
| Media | 54 | 11.8% |
| Friends | 104 | 22.7% |
| Women development group | 39 | 38.5% |
| Personal experiences | 9 | 2.0% |
| Other | 3 | 0.7% |
| More than two sources | 46 | 10.0% |
| Before pregnancy | 44 | 5.6% |
| During pregnancy after 20 weeks of gestation | 175 | 22.1% |
| Before and during pregnancy | 98 | 12.4% |
| I did not know | 475 | 60.0% |
| Yes | 323 | 40.8% |
| No | 469 | 59.2% |
| Yes | 304 | 38.4% |
| No | 488 | 61.6% |
| Very serious | 324 | 40.9% |
| Serious | 438 | 55.3% |
| Not at all serious | 30 | 3.8% |
| Yes | 308 | 38.9% |
| No | 484 | 61.1% |
Figure 1Signs and symptoms of pregnancy induced hypertension identified by pregnant women attending antenatal care in Tigray Regional State, Ethiopia, 2018
Awareness on prevention and management of pregnancy induced hypertension among pregnant women attending antenatal care in general hospitals of Tigray regional state, Ethiopia, 2018 (n=792)
| Variable | Frequency | Percent (%) |
|---|---|---|
| Yes | 470 | 59.3% |
| No | 322 | 40.7% |
| Yes | 465 | 58.7% |
| No | 327 | 41.3% |
| Yes | 603 | 76.1% |
| No | 189 | 23.9% |
| Yes | 441 | 55.7% |
| No | 351 | 44.3% |
| Go to health facility | 710 | 89.9% |
| Lie down | 14 | 1.8% |
| Wait one day to see progress | 36 | 4.6% |
| Go to traditional healers | 26 | 3.3% |
| Other | 4 | 0.5% |
| Yes | 560 | 70.7% |
| No | 232 | 29.3% |
| Yes | 588 | 74.2% |
| No | 204 | 26.8% |
| Yes | 178 | 22.5% |
| No | 614 | 77.5% |
| Conservatively | 54 | 30.3% |
| Antihypertensive | 83 | 46.6% |
| Anticonvulsant | 3 | 1.7% |
| Anti-HTN and anticonvulsant | 25 | 14.1% |
| All | 13 | 7.3% |
Figure 2Participants correctly answering the questionnaire by subareas of awareness on pregnancy induced hypertension among pregnant women with PIH and normotensive women in Tigray Regional State, Ethiopia, 2018
Factors associated with awareness of pregnancy induced hypertension among pregnant women attending antenatal care in general hospitals of Tigray Regional State, Ethiopia, 2018 (n=792)
| Variable | Awareness of PIH | COR (95% CI) | AOR (95% CI) | |
|---|---|---|---|---|
| ≤ 19 years | 20 (4.3%) | 26 (7.9%) | 0.53(0.28,0.96) | 1.1 (0.5, 2.1) |
| 20-34 years | 379(82.2%) | 260 (78.5%) | 1 | 1 |
| ≥ 35 years | 62 (13.4%) | 45 (13.6%) | 0.94 (0.62,1.43) | 1.3 (0.7, 2.2) |
| Urban | 394 (85.5%) | 227 (68.6%) | 1 | 1 |
| Rural | 67 (14.5%) | 104 (31.4%) | 0.37 (0.26,0.53) | 1.1 (0.6, 1.6) |
| No formal education | 23 (5.0%) | 71 (21.5%) | 1 | 1 |
| Primary | 110 (23.9%) | 110 (33.2%) | 3.10 (1.80,5.29) | 2.9 (1.6, 5.3) |
| Secondary | 151 (32.8%) | 101 (30.5%) | 4.62 (2.71,7.81) | 3.1 (1.6, 5.8) |
| College and above | 177 (38.4%) | 49 (14.8%) | 11.15(6.33,19.65) | 4.9 (2.3, 10.3) |
| House wife | 178 (38.6%) | 190 (57.4%) | 1 | 1 |
| Farmer | 24 (5.2%) | 46 (13.9%) | 0.55(0.32, 0.95) | 1.3 (0.6, 2.5) |
| Private business | 103 (22.3%) | 52(15.7%) | 2.11 (1.43, 3.12) | 1.2(0.8, 1.9) |
| Governmental/ NGO employee | 156 (33.8%) | 43 (13.0%) | 3.87 (2.61, 5.74) | 1.7 (1.1, 2.9) |
| Lowest | 88(19.3%) | 173(52.6%) | 0.16 (0.11,0.24) | 0.3 (0.2, 0.4) |
| Middle | 169(37.1%) | 93(28.3%) | 0.58 (0.39,0.85) | 0.7 (0.5, 1.1) |
| Highest | 198 (43.5%) | 63 (19.1%) | 1 | 1 |
| 1 | 141 (30.6%) | 135 (40.8%) | 0.64 (0.47,0.86) | 0.6 (0.4, 0.8) |
| ≥ 2 | 320 (69.4%) | 196 (59.2%) | 1 | 1 |
Reference group=1,***P<0.001,**P<0.01, *p<0.05