Spatial distribution and associated factors’ of Early Marriage among Reproductive age women in Ethiopia: A Secondary Data Analysis of EDHS 2016.

Reproductive Age ◽

Scan Statistics ◽

Early Marriage ◽

Factors Associated ◽

Abstract Background: Besides, the presence of national law, the country has to set up its own mid-term and long term goals to bring about a significant reduction in child marriages in Ethiopia. As my search concerned, there is no study conducted on the spatial distribution of early marriage in Ethiopia. Determining the spatial distribution of early marriage and factors associated is important for government, other concerned bodies, program implementers, and policy developers to end up early childhood marriage. Thus, this study aimed to assess the spatial distribution and associated factors of Early marriage among reproductive-age women in Ethiopia. Methods: This study analyzed retrospectively a cross-sectional data on a weighted sample of 11,646 women aged 15-49 years after requesting from Ethiopian Demographic and Health Survey 2016. ArcGIS version 10.7 software was used to visualize spatial distribution for Early marriage. The Bernoulli model was applied using Kilduff SaTScan version 9.6 software to identify significant purely spatial clusters for Early marriage in Ethiopia multiple logistic regression analysis was used to identify factors associated with early marriage. Finally, variables with a p-value<0.05 were considered as statistically significant. Results: In this analysis, about 62.8% (95%CI: 61.9, 63.74%) of the study participants were married before they reached 18 years. The overall median age at first marriage was 17.1 with IQR 5 years. The high clustering of early marriage was located in Amhara, Afar, and Gambella Regions. In spatial Scan statistics, 87 clusters (RR = 1.28) significant primary clusters were identified. The associated factors of early marriage were lesser among women’s attending primary (AOR=0.60; 95%CI: 0.51, 0.71), secondary (AOR=0.19; 95%CI: 0.13, 0.26) and tertiary education (AOR=0.11; 95%CI: 0.07, 0.18). Similarly, women found in Addis Ababa were at a lesser risk of early marriage compared to other regions of the country. Conclusion: Marriage below age 18 is high in Ethiopia. High-risk area of early marriage was located in Amhara, Afar, and Gambella. Governmental and non-governmental organizations should design an effective intervention in these regions to reduce Early marriage. Therefore, providing educational opportunities to young girls was important in addition to inhibiting the marriage of girls under 18 years.

Spatial distribution and associated factors’ of early marriage among reproductive age women in Ethiopia: a secondary data analysis of Ethiopian Demographic and Health Survey 2016

BMC Women s Health ◽

10.1186/s12905-020-01103-5 ◽

2020 ◽

Vol 20 (1) ◽

Author(s):

Zemenu Tadesse Tessema

Keyword(s):

Spatial Distribution ◽

Health Survey ◽

Associated Factors ◽

Reproductive Age ◽

Scan Statistics ◽

Early Marriage ◽

Factors Associated ◽

Abstract Background Besides, the presence of national law, the country has to set up its own mid-term and long term goals to bring about a significant reduction in child marriages in Ethiopia. As my search concerned, there is no study conducted on the spatial distribution of early marriage in Ethiopia. Determining the spatial distribution of early marriage and factors associated is important for government, other concerned bodies, program implementers, and policy developers to end up early childhood marriage. Thus, this study aimed to assess the spatial distribution and associated factors of Early marriage among reproductive-age women in Ethiopia. Methods This study analyzed retrospectively a cross-sectional data on a weighted sample of 11,646 reproductive age women after requesting from Ethiopian Demographic and Health Survey 2016. ArcGIS and SaTScan software were for spatial analysis. Multiple logistic regression analysis was used to identify factors associated with early marriage. Finally, variables with a p-value of less than or equal 0.05 were considered as statistically significant. Results In this analysis, about 62.8% (95% CI 61.9, 63.74%) of the study participants were married before they reached 18 years. The overall median age at first marriage was 17.1 with IQR 5 years. The high clustering of early marriage was located in Amhara, Afar, and Gambella Regions. In spatial Scan statistics, 87 clusters (RR = 1.28) significant primary clusters were identified. The associated factors of early marriage were lesser among women’s attending primary (AOR = 0.60; 95% CI 0.51, 0.71), secondary (AOR = 0.19; 95% CI 0.13, 0.26) and tertiary education (AOR = 0.11; 95% CI 0.07, 0.18). Similarly, women found in Addis Ababa were at a lesser risk of early marriage compared to other regions of the country. Conclusion Marriage below age 18 is high in Ethiopia. High-risk area of early marriage was located in Amhara, Afar, and Gambella. Governmental and non-governmental organizations should design an effective intervention in these regions to reduce Early marriage. Therefore, providing educational opportunities to young girls was important in addition to inhibiting the marriage of girls under 18 years.

Spatial distribution and associated factors’ of Early Marriage among Reproductive age women in Ethiopia: A Secondary Data Analysis of Ethiopian Demographic and Health Survey 2016.

10.21203/rs.2.23055/v4 ◽

2020 ◽

Author(s):

Zemenu Tessema Tadesse

Keyword(s):

Spatial Distribution ◽

Health Survey ◽

Associated Factors ◽

Reproductive Age ◽

Scan Statistics ◽

Early Marriage ◽

Factors Associated ◽

Abstract Background: Besides, the presence of national law, the country has to set up its own mid-term and long term goals to bring about a significant reduction in child marriages in Ethiopia. As my search concerned, there is no study conducted on the spatial distribution of early marriage in Ethiopia. Determining the spatial distribution of early marriage and factors associated is important for government, other concerned bodies, program implementers, and policy developers to end up early childhood marriage. Thus, this study aimed to assess the spatial distribution and associated factors of Early marriage among reproductive-age women in Ethiopia. Methods: This study analyzed retrospectively a cross-sectional data on a weighted sample of 11,646 reproductive age women after requesting from Ethiopian Demographic and Health Survey 2016. ArcGIS and SaTScan software were for spatial analysis. Multiple logistic regression analysis was used to identify factors associated with early marriage. Finally, variables with a p-value of less than or equal 0.05 were considered as statistically significant. Results: In this analysis, about 62.8% (95%CI: 61.9, 63.74%) of the study participants were married before they reached 18 years. The overall median age at first marriage was 17.1 with IQR 5 years. The high clustering of early marriage was located in Amhara, Afar, and Gambella Regions. In spatial Scan statistics, 87 clusters (RR = 1.28) significant primary clusters were identified. The associated factors of early marriage were lesser among women’s attending primary (AOR=0.60; 95%CI: 0.51, 0.71), secondary (AOR=0.19; 95%CI: 0.13, 0.26) and tertiary education (AOR=0.11; 95%CI: 0.07, 0.18). Similarly, women found in Addis Ababa were at a lesser risk of early marriage compared to other regions of the country. Conclusion: Marriage below age 18 is high in Ethiopia. High-risk area of early marriage was located in Amhara, Afar, and Gambella. Governmental and non-governmental organizations should design an effective intervention in these regions to reduce Early marriage. Therefore, providing educational opportunities to young girls was important in addition to inhibiting the marriage of girls under 18 years.

Spatial patterns and associated factors’ of Early Marriage among Reproductive age women in Ethiopia: a Secondary Analysis of EDHS 2016

10.21203/rs.2.18181/v1 ◽

2019 ◽

Author(s):

Zemenu Tessema Tadesse

Keyword(s):

Spatial Patterns ◽

Associated Factors ◽

Addis Ababa ◽

Reproductive Age ◽

Scan Statistics ◽

Early Marriage ◽

P Value ◽

Factors Associated ◽

Abstract Background: Besides, the presence of national law, the country has to set up its own mid-term and long term goals to bring about a significant reduction in child marriages in Ethiopia. To achieve this, determining the spatial pattern of early marriage and factors associated is important for government, other concerned bodies, program implementers and policy developers to end up early childhood marriage. Thus, the aim of this study was to assess the spatial patterns and associated factors of Early marriage among reproductive-age women in Ethiopia. Methods: This study analyzed retrospectively a cross-sectional data on a weighted sample of 11,646 women aged 15-49 years after requesting from Ethiopian Demographic and Health Survey 2016 via the link www.measuredhs.com. ArcGIS version 10.7 software was used to visualize spatial distribution for Early marriage. The Bernoulli model was applied using Kilduff SaTScan version 9.6 software to identify significant purely spatial clusters for Early marriage in Ethiopia multiple logistic regression analysis was used to identify factors associated with early marriage. Finally, variables with a p-value<0.05 were considered as statistically significant. Results: In this analysis, about 62.8% (95%CI: 61.9, 63.74%) of the study participants were married before they reached 18 years. The overall median age at first marriage was 17.1 with IQR 5 years. The high clustering of early marriage was located in Amhara, Afar, and Gambella Regions. In spatial Scan statistics 87 clusters (RR = 1.28, P-value < 0.001) significant primary clusters were identified. The associated factors of early marriage were lesser among women’s attending primary (AOR=0.60; 95%CI: 0.51, 0.71), secondary (AOR=0.19; 95%CI: 0.13, 0.26) and tertiary education (AOR=0.11; 95%CI: 0.07, 0.18). Similarly, women found in Addis Ababa were at a lesser risk of early marriage compared to other regions of the country. Conclusion: Marriage below age 18 was high in Ethiopia. High-risk area of early marriage was located in Amhara, Afar, and Gambella and special attention should be given for identified risk areas. Therefore, providing educational opportunities to young girls was important in addition to inhibiting the marriage of girls under 18 years.

Spatial distribution and associated factors’ of Early Marriage among Reproductive age women in Ethiopia: A Secondary Data Analysis of Ethiopian Demographic and Health Survey 2016.

10.21203/rs.2.23055/v3 ◽

2020 ◽

Author(s):

Zemenu Tessema Tadesse

Keyword(s):

Spatial Distribution ◽

Health Survey ◽

Associated Factors ◽

Reproductive Age ◽

Scan Statistics ◽

Early Marriage ◽

P Value ◽

Factors Associated ◽

Abstract Background Besides, the presence of national law, the country has to set up its own mid-term and long term goals to bring about a significant reduction in child marriages in Ethiopia. To achieve this, determining the spatial pattern of early marriage and factors associated is important for government, other concerned bodies, program implementers and policy developers to end up early childhood marriage. Thus, the aim of this study was to assess the spatial patterns and associated factors of Early marriage among reproductive-age women in Ethiopia. Methods This study analyzed retrospectively a cross-sectional data on a weighted sample of 11,646 women aged 15-49 years after requesting from Ethiopian Demographic and Health Survey 2016 via the link www.measuredhs.com . ArcGIS version 10.7 software was used to visualize spatial distribution for Early marriage. The Bernoulli model was applied using Kilduff SaTScan version 9.6 software to identify significant purely spatial clusters for Early marriage in Ethiopia multiple logistic regression analysis was used to identify factors associated with early marriage. Finally, variables with a p-value<0.05 were considered as statistically significant. Results In this analysis, about 62.8% (95%CI: 61.9, 63.74%) of the study participants were married before they reached 18 years. The overall median age at first marriage was 17.1 with IQR 5 years. The high clustering of early marriage was located in Amhara, Afar, and Gambella Regions. In spatial Scan statistics 87 clusters (RR = 1.28, P-value < 0.001) significant primary clusters were identified. The associated factors of early marriage were lesser among women’s attending primary (AOR=0.60; 95%CI: 0.51, 0.71), secondary (AOR=0.19; 95%CI: 0.13, 0.26) and tertiary education (AOR=0.11; 95%CI: 0.07, 0.18). Similarly, women found in Addis Ababa were at a lesser risk of early marriage compared to other regions of the country. Conclusion Marriage below age 18 was high in Ethiopia. High-risk area of early marriage was located in Amhara, Afar, and Gambella and special attention should be given for identified risk areas. Therefore, providing educational opportunities to young girls was important in addition to inhibiting the marriage of girls under 18 years.

Spatial patterns and associated factors’ of Early Marriage among Reproductive age women in Ethiopia: a Secondary Analysis of Ethiopian Demographic and Health Survey 2016

10.21203/rs.2.23055/v1 ◽

2020 ◽

Author(s):

Zemenu Tessema Tadesse

Keyword(s):

Spatial Patterns ◽

Health Survey ◽

Associated Factors ◽

Reproductive Age ◽

Scan Statistics ◽

Early Marriage ◽

P Value ◽

Factors Associated ◽

Abstract Background Besides, the presence of national law, the country has to set up its own mid-term and long term goals to bring about a significant reduction in child marriages in Ethiopia. To achieve this, determining the spatial pattern of early marriage and factors associated is important for government, other concerned bodies, program implementers and policy developers to end up early childhood marriage. Thus, the aim of this study was to assess the spatial patterns and associated factors of Early marriage among reproductive-age women in Ethiopia. Methods This study analyzed retrospectively a cross-sectional data on a weighted sample of 11,646 women aged 15-49 years after requesting from Ethiopian Demographic and Health Survey 2016 via the link www.measuredhs.com . ArcGIS version 10.7 software was used to visualize spatial distribution for Early marriage. The Bernoulli model was applied using Kilduff SaTScan version 9.6 software to identify significant purely spatial clusters for Early marriage in Ethiopia multiple logistic regression analysis was used to identify factors associated with early marriage. Finally, variables with a p-value<0.05 were considered as statistically significant. Results In this analysis, about 62.8% (95%CI: 61.9, 63.74%) of the study participants were married before they reached 18 years. The overall median age at first marriage was 17.1 with IQR 5 years. The high clustering of early marriage was located in Amhara, Afar, and Gambella Regions. In spatial Scan statistics 87 clusters (RR = 1.28, P-value < 0.001) significant primary clusters were identified. The associated factors of early marriage were lesser among women’s attending primary (AOR=0.60; 95%CI: 0.51, 0.71), secondary (AOR=0.19; 95%CI: 0.13, 0.26) and tertiary education (AOR=0.11; 95%CI: 0.07, 0.18). Similarly, women found in Addis Ababa were at a lesser risk of early marriage compared to other regions of the country. Conclusion Marriage below age 18 was high in Ethiopia. High-risk area of early marriage was located in Amhara, Afar, and Gambella and special attention should be given for identified risk areas. Therefore, providing educational opportunities to young girls was important in addition to inhibiting the marriage of girls under 18 years.

Spatial patterns and associated factors’ of Early Marriage among Reproductive age women in Ethiopia: a Secondary Analysis of Ethiopian Demographic and Health Survey 2016

10.21203/rs.3.rs-15590/v1 ◽

2020 ◽

Author(s):

Zemenu Tessema Tadesse

Keyword(s):

Spatial Patterns ◽

Health Survey ◽

Associated Factors ◽

Reproductive Age ◽

Scan Statistics ◽

Early Marriage ◽

P Value ◽

Factors Associated ◽

Abstract Background: Besides, the presence of national law, the country has to set up its own mid-term and long term goals to bring about a significant reduction in child marriages in Ethiopia. To achieve this, determining the spatial pattern of early marriage and factors associated is important for government, other concerned bodies, program implementers and policy developers to end up early childhood marriage. Thus, the aim of this study was to assess the spatial patterns and associated factors of Early marriage among reproductive-age women in Ethiopia.Methods: This study analyzed retrospectively a cross-sectional data on a weighted sample of 11,646 women aged 15-49 years after requesting from Ethiopian Demographic and Health Survey 2016 via the link www.measuredhs.com. ArcGIS version 10.7 software was used to visualize spatial distribution for Early marriage. The Bernoulli model was applied using Kilduff SaTScan version 9.6 software to identify significant purely spatial clusters for Early marriage in Ethiopia multiple logistic regression analysis was used to identify factors associated with early marriage. Finally, variables with a p-value<0.05 were considered as statistically significant.Results: In this analysis, about 62.8% (95%CI: 61.9, 63.74%) of the study participants were married before they reached 18 years. The overall median age at first marriage was 17.1 with IQR 5 years. The high clustering of early marriage was located in Amhara, Afar, and Gambella Regions. In spatial Scan statistics 87 clusters (RR = 1.28, P-value < 0.001) significant primary clusters were identified. The associated factors of early marriage were lesser among women’s attending primary (AOR=0.60; 95%CI: 0.51, 0.71), secondary (AOR=0.19; 95%CI: 0.13, 0.26) and tertiary education (AOR=0.11; 95%CI: 0.07, 0.18). Similarly, women found in Addis Ababa were at a lesser risk of early marriage compared to other regions of the country.Conclusion: Marriage below age 18 was high in Ethiopia. High-risk area of early marriage was located in Amhara, Afar, and Gambella and special attention should be given for identified risk areas. Therefore, providing educational opportunities to young girls was important in addition to inhibiting the marriage of girls under 18 years.

Pregnancy Rate After Myomectomy and Associated Factors Among Reproductive Age Women Who Had Myomectomy at Saint Paul’s Hospital Millennium Medical College, Addis Ababa: Retrospective Cross-sectional Study.

10.21203/rs.3.rs-250064/v1 ◽

2021 ◽

Author(s):

meseret olana jeldu ◽

Tadios Mekonnen asress ◽

temesgen tantu arusi ◽

Muluken Gunta gutulo

Keyword(s):

Pregnancy Rate ◽

Associated Factors ◽

Addis Ababa ◽

Statistical Significance ◽

Cross Sectional Study ◽

Reproductive Age ◽

Sectional Study ◽

Cross Sectional ◽

Medical College ◽

Abstract Introduction: Uterine myoma occurs in 20-50% of reproductive age women. Uterine myomas may be associated with 5-10% of cases of infertility, but it is the sole cause or factor in only 2-3% of all infertility cases. Myomectomy is surgery done to remove myoma regardless of the methods.Objective: to assess impact of myomectomy on pregnancy rate and associated factors among reproductive age women who had myomectomy at St. Paul’s Hospital Millennium Medical College, in Addis Ababa. Methodology: Hospital based retrospective cross-sectional study was conducted to determine pregnancy rate after myomectomy & its associated factors. Patients who had myomectomy in SPHMMC from September, 2012 to September, 2017 were enrolled. Information was retrieved from hospital records & phone interviews with the patients. The strength of statistical association was measured by adjusted odds ratios and 95% confidence intervals. Statistical significance was declared at p-value < 0.05. Result: Among 180 females participated in this study, 52.2% got pregnant after myomectomy. The result showed that females with age >35 years were 0.31 times less likely to get pregnant after surgery than those ages 20-25 years [AOR=0.31(95%CI: 0.29-0.54)]. People with no infertility before surgery were 1.19 times more likely to be pregnant after surgery than those with unexplained infertility before the surgery [AOR=1.19(95%CI: 1.06-1.57)]. People with two uterine incisions were 0.06 times less likely [AOR=0.06(95%CI: 0.043-0.51)] while those with three or more than three incisions were 0.02 times less likely [AOR=0.02(95%CI: 0.002-0.22)] to get pregnant compared with those with one incision on uterine wallConclusion: Age, number of incision and infertility before surgery were significantly associated with rate of pregnancy after myomectomy.

Spatial Distribution and Factors Associated with Khat Chewing among Adult Males 15-59 Years in Ethiopia Using a Secondary Analysis of Ethiopian Demographic and Health Survey 2016: Spatial and Multilevel Analysis

Psychiatry Journal ◽

10.1155/2020/8369693 ◽

2020 ◽

Vol 2020 ◽

pp. 1-12

Author(s):

Zemenu Tadesse Tessema ◽

Tadele Amare Zeleke

Keyword(s):

Spatial Distribution ◽

Addis Ababa ◽

Scan Statistics ◽

Age Group ◽

Factors Affecting ◽

Factors Associated ◽

Khat Chewing ◽

Adult Men ◽

Dire Dawa ◽

Alcohol Drinker

Background. Khat chewing has become prevalent in the world due to the improvement of road and air transportation. In Ethiopia, khat chewing is more prevalent and widely practiced by men. Khat has a negative effect on social, economic, and mental health. There is variation in khat cultivation, use, and factors that associated with khat chewing in the Ethiopian regions. Therefore, this study is aimed at showing spatial distribution and factors associated with khat chewing among male adults 15-59 years in Ethiopia. Methods. A total of 12,594 men were included in this study. ArcGIS version 10.7 software was used to show the spatial distribution of chewing khat among adult men in Ethiopia. The Bernoulli model was applied using Kilduff SaTScan version 9.6 software to identify significant purely spatial clusters for chewing khat in Ethiopia. A multilevel logistic regression model was fitted to identify factors associated with khat chewing. A P value < 0.05 was taken to declare statistically significant predictors. Results. The EDHS 2016 survey showed that the high proportion of chewing khat was found in Dire Dawa, Harari, Southern Oromia, Somali, and Benishangul Gumuz regions. In spatial scan statistics analysis, a total of 126 clusters (LLR=946.60, P value < 0.001) were identified. Age group 30-44 years old (AOR=1.60, 95% CI: 1.37, 1.86) and 45-59 years old (AOR=1.33, 95% CI: 1.09, 1.61), being single (AOR=1.86, 95% CI: 1.64, 2.12), Muslim religion followers (AOR=15.03, 95% CI: 11.90, 18.90), media exposed (AOR=0.77, 95% CI: 0.68, 0.86), had work (AOR=2.48, 95% CI: 2.08, 2.95), alcohol drinker (AOR=3.75, 95% CI: 3.10, 4.53), and region (Afar, Amhara, Benishangul Gumuz, Gambela, Harari, Oromia, Somali, Southern Nations, Nationalities, and People’s Region (SNNPR), and Tigray) and two cities (Addis Ababa and Dire Dawa) were statistically significant factors affecting chewing khat in Ethiopia. Conclusions. In Ethiopia, the spatial distribution of khat chewing among adult men was nonrandom. A high proportion of khat chewing was observed in Dire Dawa, Harari, Southern Oromia, Somali, and Benishangul Gumuz regions. Older age group, being single marital status, alcohol drinker, media unexposed, had no work, and Muslim religion follower were factors affecting khat chewing. Policymakers should be given spatial attention in reducing the prevalence of chewing khat by teaching the health impact of khat chewing through media in the identified regions.

Effect of mass media on comprehensive knowledge of HIV/AIDS and its spatial distribution among reproductive-age women in Ethiopia: a spatial and multilevel analysis

BMC Public Health ◽

10.1186/s12889-020-09536-1 ◽

2020 ◽

Vol 20 (1) ◽

Author(s):

Chilot Desta Agegnehu ◽

Getayeneh Antehunegn Tesema

Keyword(s):

Public Health ◽

Spatial Distribution ◽

Spatial Analysis ◽

Associated Factors ◽

Reproductive Age ◽

Somali Region ◽

Reproductive Age Women ◽

Comprehensive Knowledge ◽

Dire Dawa ◽

Hiv Aids

Abstract Background Globally, HIV/AIDS remains a significant public health issue particularly in Sub-Saharan Africa. Media exposure plays a significant role in raising community knowledge about HIV. Therefore, this study aimed to investigate the effect of media on comprehensive knowledge of HIV and its spatial distribution among reproductive-age women in Ethiopia. Methods A secondary data analysis was done based on the 2016 Ethiopian Demographic and Health Surveys (EDHS). A total weighted sample of 15,683 reproductive-age women was included for analysis. For the spatial analysis, ArcGIS version 10.3 and SaTScan version 9.6 software were employed to explore the spatial distribution of comprehensive knowledge of HIV/AIDS and for identifying significant hotspot areas. For associated factors, the mixed-effect logistic regression model was fitted. Deviance and ICC were used for model comparison. In the multivariable analysis, Adjusted Odds Ratio (AOR) with 95% Confidence Interval (CI) was reported to declare significantly associated factors of comprehensive knowledge of HIV/AIDS. Results The spatial analysis revealed that the spatial distribution of comprehensive knowledge of HIV/AIDS among reproductive-age women was significantly varied across the country. The SaTScan analysis identified significant clusters in the entire Somali region, the eastern part of Dire Dawa and Harari regions. Being rural (AOR = 1.52,95% CI:1.21–1.91), maternal age 25–34 years (AOR = 1.26,95% CI:1.14–1.40), aged ≥35 years (AOR = 1.20,95%CI:1.07–1.35), being Muslim (AOR = 0.68,95% CI:0.60–0.78), being protestant (AOR = 0.83,95% CI:0.71–0.96), poorer wealth (AOR = 1.26,95%CI:1.06–1.51), middle wealth (AOR = 1.34,95%CI:1.11–1.60), richer wealth (AOR = 1.36,95% CI:1.12–1.63), richest wealth (AOR = 1.72,95% CI:1.37–2.15), reading newspaper (AOR = 1.20,95%CI: 1.06–1.37), listening radio (AOR = 1.24,95% CI:1.10, 1.41), covered by health insurance (AOR = 1.23,95%CI:1.01–1.51), having primary education (AOR = 1.77,95% CI:1.57–1.99), having secondary education (AOR = 2.45,95%CI:2.10–2.86) and having higher education (AOR = 3.04,95%CI:2.52–3.65) were significantly associated with comprehensive knowledge of HIV/AIDS. Conclusion Spatial distribution of comprehensive knowledge of HIV/AIDS among reproductive-age women was significantly varied across the country with significant hotspot areas with poor comprehensive knowledge of HIV/AIDS identified in the Somali region, the eastern part of Dire Dawa and Harari Regions. media exposure was a significant predictor of comprehensive knowledge of HIV/AIDS among reproductive-age women in Ethiopia. Therefore, the government should scale up public health programs in the hot spot areas and provide health information using different media.

Pregnancy Rate after Myomectomy and Associated Factors among Reproductive Age Women Who Had Myomectomy at Saint Paul’s Hospital Millennium Medical College, Addis Ababa: Retrospective Cross-Sectional Study

International Journal of Reproductive Medicine ◽

10.1155/2021/6680112 ◽

2021 ◽

Vol 2021 ◽

pp. 1-6

Author(s):

Meseret Jeldu ◽

Tadios Asres ◽

Temesgen Arusi ◽

Muluken Gunta Gutulo

Keyword(s):

Pregnancy Rate ◽

Associated Factors ◽

Addis Ababa ◽

Statistical Significance ◽

Cross Sectional Study ◽

Reproductive Age ◽

Sectional Study ◽

Cross Sectional ◽

Medical College ◽

Introduction. Uterine myoma occurs in 20-50% of reproductive age women. Uterine myomas may be associated with 5-10% of cases of infertility, but it is the sole cause or factor in only 2-3% of all infertility cases. Myomectomy is surgery done to remove myoma regardless of the methods. Objective. To assess impact of myomectomy on pregnancy rate and associated factors among reproductive age women who had myomectomy at St. Paul’s Hospital Millennium Medical College, in Addis Ababa. Methodology. Hospital-based retrospective cross-sectional study was conducted to determine pregnancy rate after myomectomy and its associated factors. Patients who had myomectomy in SPHMMC from September 2012 to September 2017 were enrolled. Information was retrieved from hospital records and phone interviews with the patients. The strength of statistical association was measured by adjusted odds ratios and 95% confidence intervals. Statistical significance was declared at p value < 0.05. Result. Among 180 females participated in this study, 52.2% got pregnant after myomectomy. The result showed that females with age > 35 years were 0.31 times less likely to get pregnant after surgery than those ages 20-25 years [ AOR = 0.31 (95% CI: 0.29-0.54)]. People with no infertility before surgery were 1.19 times more likely to be pregnant after surgery than those with unexplained infertility before the surgery [ AOR = 1.19 (95% CI: 1.06-1.57)]. People with two uterine incisions were 0.06 times less likely [ AOR = 0.06 (95% CI: 0.043-0.51)] while those with three or more than three incisions were 0.02 times less likely [ AOR = 0.02 (95% CI: 0.002-0.22)] to get pregnant compared with those with one incision on uterine wall. Conclusion. Age, number of incision, and infertility before surgery were significantly associated with rate of pregnancy after myomectomy.