Obstetric, Sociodemographic, and Psychosocial Problems of Postpartum Adolescents of Huambo, Angola

Abstract

This study aims to establish a profile of teenage pregnancy (<20 years) at a hospital in Huambo, Angola. Subjects were categorized into two age groups, 10–16 and 17–19 years. We interviewed 381 mothers in the postpartum maternity ward of the Central Hospital of Huambo. Statistical analysis then followed two stages, a descriptive analysis of the study population and analysis through a bivariate 2 × 2 table, using a chi-squared test to evaluate the hypothesis of homogeneity of proportions with a significance level of 5%. Comparing the two groups revealed a more frequent occurrence of problems among mothers under 17 years of age, including a higher frequency of involvement with unemployed parents, more often not living with parents, and fewer prenatal consultations.

The prevalence of pregnancy among adolescent girls and young women across the Southern African development community economic hub: A systematic review and meta-analysis

“…The remaining 40 articles were further subjected to review and 14 articles were non eligible due to study design (case control) or not reporting on study denominator (sample size) ( Figure 1). Of the 7627 citations, only 25 studies were found eligible for age group 10-24 years of age, 6,24,42,44,45,[47][48][49][50][51][52][53][54][55][56][60][61][62]66,68,69,71,74 the majority from cross-sectional studies. 6,24,42,44,45,48,50,53,54,56,[60][61][62]69 Exploratory studies and DHS that reported only point prevalence without denominators or confidence intervals were also excluded.…”

“…With regards to country specific weighted pregnancy rate, from highest to lowest, the overall meta-analysis results yielded pregnancy prevalence estimates as follows: DRC 62% (95% CI 57% to 68%), Madagascar 54% (95% CI: 51% to 58%), Mozambique 38% (95% CI: 36% to 39%), Malawi 30% (95% CI: 28% to 31%), Zambia 28% (95% CI 27% to 30%), Namibia 25% (95% CI: 12% to 39%), Swaziland 23% (95% CI: 20% to 25%), Zimbabwe 22% (95% CI: 20% to 23%), South Africa 19% (95% CI: 16% to 22%), Angola 19% (95% CI: 15% to 23%), Lesotho 19% (95% CI: 17% to 21%), Tanzania 17% (95% CI: 9% to 25%), Seychelles 6% (95% CI: 5% to 7%) as shown in Figure 2. 6,24,42,44,45,[47][48][49][50][51][52][53][54][55][56][60][61][62]66,68,69,71,74 The chi-square test was estimated at 1775.66, degrees of freedom (df) at 12 (P < 0.001) and the I-square statistic (I 2 ) at 99.40% (P < 0.001) indicating significant heterogeneity between the country subgroups. Those within the age range of 10-19 years (N = 80 287 vs n = 13 400) ever pregnant had a crude AGYW pregnancy rate of 16.7% ( 95% CI 16% to 17%) ) while the metaanalysis overall regional weighted ever pregnancy rate was estimated at 22% (95% CI: 19% to 26%) and nationally: Mozambique 38% (95% CI 36% to 39%), Malawi 30% (95% CI: 28% to 31%), Zambia 28% (95% CI 27% to 30%), Namibia 25% ( 95% CI: 12% to 39%), Swaziland 23% (95% CI: 20% to 25%), Zimbabwe 22% (95% CI: 20% to 23%), South Africa 19% (95% CI: 16% to 22%), Angola 19% (95% CI: 15% to 23%), Lesotho 19% (95% CI: 17% to 21%), Tanzania 17% (95%CI: 7% to 28%), Seychelles 6% (95% CI: 5% to 7%) as shown in Figure 3.…”

“…Those within the age range of 10-19 years (N = 80 287 vs n = 13 400) ever pregnant had a crude AGYW pregnancy rate of 16.7% ( 95% CI 16% to 17%) ) while the metaanalysis overall regional weighted ever pregnancy rate was estimated at 22% (95% CI: 19% to 26%) and nationally: Mozambique 38% (95% CI 36% to 39%), Malawi 30% (95% CI: 28% to 31%), Zambia 28% (95% CI 27% to 30%), Namibia 25% ( 95% CI: 12% to 39%), Swaziland 23% (95% CI: 20% to 25%), Zimbabwe 22% (95% CI: 20% to 23%), South Africa 19% (95% CI: 16% to 22%), Angola 19% (95% CI: 15% to 23%), Lesotho 19% (95% CI: 17% to 21%), Tanzania 17% (95%CI: 7% to 28%), Seychelles 6% (95% CI: 5% to 7%) as shown in Figure 3. 6,24,44,47,[49][50][51][52][53][54][55][56][60][61][62]66,68,69,71,74 Figure 4 describes the rate of pregnancy among AGYW aged 10-19 years scale across the SADC countries. The AGYW pregnancy rate was found to vary across the region as shown in Figure 4.…”

“…The AGYW pregnancy rate was found to vary across the region as shown in Figure 4. 6,24,42,44,45,[47][48][49][50][51][52][53][54][55][56][60][61][62]66,68,69,71,74 The following countries (Botswana and Mauritius) were not included in Figure 4 76,77 because of no age range data (Table 1). Figure 5 describes the weighted pregnancy rates of those 15-19 years.…”

Sociodemographic Determinants of Caesarean Delivery in the Largest Public Maternity Hospital in Angola

“…These results are consistent with previous studies in African contexts, that report associations between a low socioeconomic position and a high risk of caesarean delivery. 14 We hypothesize that poorer and less educated women, who live far from health facilities, have few antenatal care visits and often arrive with complicated conditions, justifying a caesarean delivery. Furthermore, the lack of qualified human and material resources to manage emergencies in peripheral health centres and the delay in the reference system (which consists of transferring a patient to a higher level health facility with Infrastructures, qualified human resources and equipment for to response) also leads to an increase in the number of caesareans performed in this particular maternity hospital.…”