Modeling spatial determinates of teenage pregnancy in Ethiopia; geographically weighted regression

Socioeconomic factors increase the risk of teenage pregnancy: spatial and temporal analysis in a Brazilian municipality

OBJECTIVE

To evaluate the distribution of the proportion of teenage mothers (PTM) in time and space and its relationship with socioeconomic indicators and social vulnerability.

METHODS

An ecological study was carried out with teenage mothers living in 322 census tracts in Foz do Iguaçu (state of Paraná, Brazil) between 2013 and 2019. Spatial clusters of teenage mothers were identified by spatial scanning and grouped into strata with different prevalence. The association between these strata and the individual social vulnerability of the mothers was evaluated using the Pearson's Chi-square test. Linear regression models were adjusted to evaluate the association between PTM and socioeconomic factors by census tract and temporal trend in PTM in different strata.

RESULTS

We identified five high prevalence clusters in peripheral regions and six with low prevalence in the central region of the municipality. Proportionally, there were more teenage mothers with a worse vulnerability index in the high prevalence stratum than in the low prevalence stratum. Places with worse socioeconomic conditions present higher PTM, a profile that did not change over time. For the increase of one unit in the Brazilian Deprivation Index and proportion of women responsible for the household, the PTM increased, respectively, by 3.8 (95%CI 3.1-4.4) and 0.086% (95%CI 0.03-0.14). There was a reduction in the global PTM in part of the period, which occurred later in the higher prevalence strata, but the proportions were stable again in the last years of study.

CONCLUSION

Teenage pregnancy is concentrated in regions with worse socioeconomic conditions and greater maternal vulnerability and its behavior over time occurred differently in these areas.

Spatial variation of short birth intervals and their determinant factors among reproductive women in Ethiopia using a geographically weighted regression model

Background

In low- and middle-income nations, a significant proportion of maternal and infant deaths are caused by a short birth interval (SBI). In Ethiopia, it is the main factor contributing to maternal and infant mortality. Understanding the spatial distribution of SBIs, i.e., birth intervals of less than 33 months, and the factors that influence them is important for categorizing and promoting targeted interventions. This study used a geographically weighted regression model to evaluate the factors associated with SBIs in hot areas of Ethiopia.

Methods

The 2019 Ethiopian Mini Demographic and Health Survey, which is nationally representative, provided the data for this study. The first step in the two-stage cluster design used to collect the data was enumeration areas, and the second stage was households. The survey was conducted between 21 March 2019 and 28 June 2019. A hot spot analysis (local Getis-Ord Gi* statistics) was initially used to investigate spatial variation in SBIs. Geographically weighted regression was used to examine the regional variation in the relationship between SBIs and the factors that cause them.

Result

The study indicated that the overall proportion of SBIs among women in Ethiopia was 43.2%. The values for Global Moran's I (Moran's I = 0.773 and p < 0.001) showed the presence of significant SBIs clustering in Ethiopian administrative zones in Ethiopia. High-risk areas of the SBIs include Jarar, Doolo, Shabelle, Afder, Liben, Korahe, Nogob, West Harerge, Guji, Sidama, and Assosa zones.

Conclusion

Living in a geographic region with a high proportion of uneducated women, women lacking breastfeeding practices, and followers of Orthodox religions increased the proportion of SBIs. Our full map of hot spots for short birth spacing and the factors that affect them helps in the implementation of precise public health measures for decision-makers.

Determinants of teenage pregnancy in Malawi: a community-based case-control study

BACKGROUND

Teenage pregnancies are a global concern. Malawi is one of the countries with the highest teenage pregnancy rates despite government efforts to reverse the situation and yet studies on determinants of teenage pregnancy are rare with some factors remaining unexplored. Therefore, this study aimed to identify factors associated with teenage pregnancies in Malawi.

METHODS

This was a community-based case-control study that used secondary data from the 2015-16 Malawi Demographic and Health Survey from all 28 districts of Malawi. The study population comprised women aged 20-24 who participated in the survey. The study ran from September 2021 to October 2022 and used a sample size of 3,435 participants who were all women aged 20-24 in the dataset who met the inclusion criteria. Data were analysed using Stata 16 software. Logistic regression analyses were used to determine factors. Variables with a P value of < 0.1 in the univariable analysis were included in the multivariable analyses, where statistical significance was obtained at a P value < 0. 05.

RESULTS

Data on 3435 participants were analysed. In multivariable analyses: no teenage marriage (AOR 0.13); secondary education (AOR 0.26); higher education (AOR 0.39); richest category of wealth index (AOR 0.51), use of contraception (AOR 3.08), domestic violence by father or mother (AOR 0.37) were found to be significant factors.

CONCLUSION

This study identified determinants of teenage pregnancy. The government has to sustain and expand initiatives that increase protection from teenage pregnancy, reinforce the implementation of amended marriage legislation, introduce policies to improve the socioeconomic status of vulnerable girls and increase contraceptive use among adolescent girls before their first pregnancy. Further research is also recommended to resolve inconclusive results.

Spatial patterns and determinants of low utilization of delivery care service and postnatal check-up within 2 months following birth in Ethiopia: Bivariate analysis

BACKGROUND

Home delivery is a nonclinical childbirth practice that takes place in one's home with or without traditional birth attendants and postnatal care is the care given to the mother and her newborn baby; according to world health organization (WHO), the postnatal phase, begins one hour after birth and lasts six weeks (42 days). This paper aimed to study the spatial pattern and determinant factors of low utilization of delivery care (DC) services and postnatal check-up (PNC) after live births in Ethiopia.

METHODS

This study used the 2016 Ethiopian Demographic and Health Survey data as a source. A total weighted samples of 11023 women-children pairs were included. The bivariate binary logistic regression analyses with spatial effect were modeled using SAS version 9.4 and ArcGIS version 10.8 was used for mapping.

RESULTS

The spatial distribution of low utilization of delivery care service and postnatal check-up were significantly clustered in Ethiopia (Moran's I statistic 0.378, P-value < 0.001 and 0.177, P-value < 0.001 respectively). Among 11023 children-women pair, the prevalence of home delivery and no postnatal check-up within two months following birth were 72.6% and 91.4% respectively. The Liben, Borena, Guji, Bale, Dolo and Zone 2 were predicted to have high prevalence of home delivery and part of Afder, Shabelle, Korahe, Dolo and Zone 2 were high risk areas of no postnatal checkup.

CONCLUSION AND RECOMMENDATIONS

Lack of occupation, region, large family size, higher birth order, low utilization of antenatal care visit, unable to access mass media, big problem of health facility distance and the spatial variable were found to be jointly significant predictors of low utilization of DC and PNC in Ethiopia. Whereas older age, being reside in rural area and low wealth status affects delivery care service utilization. We suggest health providers, policy makers and stakeholders consider those variables with priority given to Liben, Borena, Guji, Bale, Dolo, Zone 2, Afder, Shabelle and Korahe, where home delivery and no PNC were predicted relatively high. We also recommend researchers to conduct further studies using latest survey data set.

Uptake of human papillomavirus vaccination and its associated factors among adolescents in Gambella town, Southwest, Ethiopia: a community-based cross-sectional study

OBJECTIVE

To assess the uptake of human papillomavirus (HPV) vaccination and its associated factors among adolescents in Gambella town, Southwest Ethiopia.

DESIGN

A community-based cross-sectional study.

SETTING

Gambella town, Southwest Ethiopia.

PARTICIPANTS

A total of 882 adolescents were included between May and July 2022.

OUTCOME

Uptake of HPV vaccination.

METHODS

A cluster sampling technique was used to select study participants. An interviewer-administered and pretested questionnaire was used to collect the data. The collected data were entered into Epi-data V.4.6 and exported to STATA V.16 for cleaning, coding and analysis. A binary logistic regression model was used to test the association between independent and dependent variables. Variables with a p<0.05 in the multivariable logistic regression were considered statistically significant factors for the uptake of HPV vaccination.

RESULTS

A total of 825 adolescents participated in this study. Among participants, 48% (95% CI 44.6% to 51.4%) have been vaccinated for HPV. Ever heard of the HPV vaccine (AOR 2.5, 95% CI 1.23 to 5.08), good knowledge of HPV infection (AOR 3.62, 95% CI 2.17 to 6.02), good knowledge of the HPV vaccine (AOR 5.54, 95% CI 3.28 to 9.36) and attitude towards the HPV vaccine (AOR 2.74, 95% CI 1.88 to 3.98) were significantly associated HPV vaccination.

CONCLUSION

In the current study, the uptake of HPV vaccination was found to be low. The finding highlights the importance of promoting community health education about HPV infection and vaccines and providing behaviour change education, which plays a substantial role in promoting the uptake of HPV vaccination.

Prevalence and factors associated with teenage pregnancy in Sierra Leone: evidence from a nationally representative Demographic and Health Survey of 2019

BACKGROUND

Globally, teenage pregnancy remains a public health concern because of the associated maternal and perinatal morbidity and mortality. To address the extensive social, political and economic effects of teenage pregnancy, there is need for current epidemiological evidence on its prevalence and associated factors, especially from low resource settings where the burden is highest.

METHODS

We used data from the 2019 Sierra Leone Demographic and Health Survey (SLDH), which included 3,427 female adolescents. Multistage stratified sampling was used to select study participants. Teenage pregnancy was defined as those who had ever either had a child, or terminated a pregnancy, or were currently pregnant. Multivariable logistic regression was conducted to determine the factors associated with teenage pregnancy using SPSS version 25(Armonk, NY: IBM Corp).

RESULTS

The prevalence of teenage pregnancy was 22.1% [758/3,427]. Of these, 17.8%, (608/3427), had ever had childbirth, 4.2%, (144/3427), were pregnant, and 1.2%, (40/3427) had ever terminated a pregnancy. After adjusting for confounders, the odds of teenage pregnancy among married girls were about 15 times more than the odds among those who were not married (aOR; 15.31, 95% CI: 11.17-20.98) while the odds of teenage pregnancy among girls from the poorest households were 2.5 times more than the odds among girls from the richest households.

CONCLUSION

The prevalence of teenage pregnancy in Sierra Leone is high. To reduce teenage pregnancy, the government of Sierra Leone and its partners should target married, older teenagers and those from poor households. Policies giving teenage mothers a second chance by encouraging them to return to school after childbirth should be encouraged as an alternative to early marriages.

Spatiotemporal distribution and bivariate binary analysis of antenatal and delivery care utilizations in Ethiopia: EDHS 2000-2016

BACKGROUND

Antenatal care (ANC) is a maternal health care service given by skilled health professionals to pregnant women. Women may give birth at home or in health institutions. Home delivery care (DC) increases the likelihood of mortality of the mother and the newborn. Globally, each year nearly 303,000 maternal deaths occurred from complications of pregnancy and childbirth. Ethiopia alone accounted for 13,000 deaths, which disproportionately affects women living in different places of the country. Thus, this study aimed to assess the spatiotemporal patterns and associated factors of antenatal and delivery care utilization in Ethiopia.

METHOD

This study used the 2000 to 2016 EDHS (Ethiopian and Demographic Health Survey) data as a source. A total weighted sample of 30,762 women (7966 in 2000, 7297 in 2005, 7908 in 2011, and 7591 in 2016) was used. The separate and bivariate logistic regression analyses with and without the spatial effect were modeled using SAS version 9.4 and ArcGIS version 10.8.

RESULTS

The spatial distribution of ANC and DC was non-random in Ethiopia. The overall odds ratio of ANC and DC was 2.09. In 2016, 31.8% and 33.2% of women had ANC and DC respectively. The estimated odds of following ANC among mothers from middle and rich households were 1.346 and 1.679 times the estimated odds of following ANC among mothers from poor households respectively. Women who had attained higher education were 1.56 and 2.03 times more likely to have ANC and DC respectively compared to women who had no formal education.

CONCLUSIONS

Despite the government's report that women now have better access to maternal health care, a sizable proportion of women continue to give birth at home without going to the advised antenatal care appointment. Women and husbands with low education, having non-working partners, religion, regions of dwelling, residing in rural, lower birth order, low birth interval, unable to access mass media, low wealth status, and earlier EDHS survey years were significant predictors that hinder antenatal and delivery care utilization simultaneously in Ethiopia. Whereas the spatial variable significantly affects antenatal care and being unable to access mobile phones lead to low utilization of delivery care. We recommend that policymakers, planners, and researchers consider these variables and the spatiotemporal distribution of ANC and DC to reduce maternal mortality in Ethiopia. Besides, it is recommended that further studies use the latest EDHS survey data.

Spatial variation and attributable risk factors of anaemia among young children in Uganda: Evidence from a nationally representative survey

Anaemia continues to be a burden especially in developing countries that not only affects the physical growth and cognitive development of children but also increases their risk to death. Over the past decade, the prevalence of anaemia among Ugandan children has been unacceptably high. Despite this, spatial variation and attributable risk factors of anaemia are not well explored at national level. The study utilized the 2016 Uganda Demographic and Health Survey (UDHS) data with a weighted sample of 3805 children aged 6-59 months. Spatial analysis was performed using ArcGIS version 10.7 and SaTScan version 9.6. This was followed by a multilevel mixed-effects generalized linear model for the analysis of the risk factors. Estimates for population attributable risks (PAR) and fractions (PAF) were also provided using STATA version 17. In the results, intra-cluster correlation coefficient (ICC) indicates that 18% of the total variability of anaemia was due to communities within the different regions. Moran's index further confirmed this clustering (Global Moran's index = 0.17; p-value<0.001). The main hot spot areas of anaemia were Acholi, Teso, Busoga, West Nile, Lango and Karamoja sub-regions. Anaemia prevalence was highest among boy-child, the poor, mothers with no education as well as children who had fever. Results also showed that if all children were born to mothers with higher education or were staying in rich household, the prevalence would be reduced by 14% and 8% respectively. Also having no fever reduces anaemia by 8%. In conclusion, anaemia among young children is significantly clustered in the country with disparities noted across communities within different sub-regions. Policies targeting poverty alleviation, climate change or environment adaptation, food security as well interventions on malaria prevention will help to bridge a gap in the sub regional inequalities of anaemia prevalence.