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

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.

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

10.21203/rs.2.23055/v2 ◽

2020 ◽

Author(s):

Zemenu Tessema Tadesse

Keyword(s):

Spatial Distribution ◽

Associated Factors ◽

Tertiary Education ◽

Addis Ababa ◽

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.

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 ◽

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.

Knowledge of Safe Abortion Care Services and Associated Factors Among Women of Reproductive Age Working at Non-Health Sector Public Institutions in Addis Ababa, Ethiopia

10.20944/preprints202102.0287.v1 ◽

2021 ◽

Author(s):

endalew Sendo ◽

Fekadu Bulti ◽

Debela Gela ◽

jembere deressa ◽

Negalign Dinagde

Keyword(s):

Associated Factors ◽

Addis Ababa ◽

Care Service ◽

T Test ◽

Reproductive Age ◽

P Value ◽

Women Of Reproductive Age ◽

Safe Abortion ◽

Abortion Care ◽

Care Services

Background: Health-related knowledge is among the essential factors to enable women to be aware of their rights to seek health services. However, little is known about knowledge of safe abortion care services among women of reproductive age in Ethiopia. The main purpose of the study was to assess knowledge of safe abortion care services and associated factors among women of reproductive age in Addis Ababa, Ethiopia. Methods: A cross-sectional study was conducted from April-June 2019 among 432 respondents. Bivariate statistics including correlation coefficients, student t-test, one-way analysis of variance, and linear regressions, and multiple linear regression analyses were used. A significant statistical test was determined at a 95% confidence interval and p-value <0.05. Results: About 65.5% had heard about safe abortion care services; media being the main source of information for 79.5%. The finding from an independent-sample t-test shows that the place where the respondents grew up (p< 0.006), history of past miscarriage, and previous information of abortion care service were significantly associated with the knowledge about safe abortion care services (p< 0.001). Conclusions: Women without prior health experiences and those with rural origin could be targeted for reproductive health information interventions including safe abortion care provision.

Utilization of Family Planning and Associated Factors among Reproductive Age Women with Disability in Arba Minch Town, Southern Ethiopia.

10.21203/rs.2.18998/v1 ◽

2019 ◽

Author(s):

Yibeltal Mesfin ◽

Feleke Gebremeskel ◽

Wubshet Estifanous ◽

Yordanos Gizachew ◽

Seid Jemal ◽

...

Keyword(s):

Family Planning ◽

Associated Factors ◽

Reproductive Age ◽

Southern Ethiopia ◽

P Value ◽

Significant Variable ◽

Cross Sectional ◽

Women With Disabilities ◽

Reproductive Age Women ◽

Women With Disability

Abstract Introduction globally, one type of contraceptive was used by around 63 percent of women. Women with disabilities account for 10 percent of all women and make up three-quarters of the disabled people in low and middle-income countries. Objective to assess utilization of family planning and associated factors among reproductive-age women with disability group in Arba Minch town, southern Ethiopia from 1st March to April 15, 2019. Methods community-based cross-sectional study with simple random sampling was used to select 4l8 reproductive age women with disabilities. Data were collected using a structured questionnaire and interview by eight trained females who completed grade twelve two of which communicate by speaking and sign language. Data were entered using Epi info 7 and exported to SPSS version 20 for analysis. A statically significant variable in the final model was declared by AOR, 95%CI and p-value <0.05. Result in the current study family planning utilization among all reproductive-age women with disabilities was 33.7%. Family planning utilization was 2.2 times higher among those who have employed compared with those with not employed (AOR2.2 95% CI, 1.77- 4.15). Women who had a positive attitude were 2.3 times more likely to use family planning than negative attitudes (AOR 2.3:95% CI, 1.21- 3.87). Besides these women who got married were almost four times more likely to use family planning methods than unmarried (AOR 3.9:95% CI, 2.31-6.63).Conclusion The level of family planning utilization was low among reproductive women with disabilities and factors associated were attitude, marital status, & employed status, therefore governmental and non-governmental organization should promote for women with disabilities to change the attitude and creating job opportunities.

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.

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.