scholarly journals Spatial distribution and determinant factors of Female Genital Mutilation among reproductive age women in Ethiopia, 2016; Based on Ethiopian National Demographic and Health Survey

2020 ◽  
Author(s):  
Atalay Goshu Muluneh ◽  
Getahun Molla Kassa ◽  
Mehari WoldeMariam Merid
Keyword(s):  
Spatial Distribution ◽  
Health Survey ◽  
Female Genital Mutilation ◽  
Data Cleaning ◽  
Demographic And Health Survey ◽  
P Value ◽  
Genital Mutilation ◽  
Determinant Factors ◽  
Female Genital ◽  
Variable Analysis

Abstract Background : Though condemned and considered as a crime by the countries government, Female Genital Mutilation (FGM) remains a common public health problem in Africa and Ethiopia as well. Thus, this study was aimed to assess the spatial distribution and associated factors of female genital mutilation in Ethiopia based on the Ethiopian demographic and Health survey 2016 data. Method: This is a secondary data analysis of Ethiopian Demographic and Health Survey (EDHS) 2016 data based on 7,163 women who were included for FGM interview. The data was weighted using sampling weight as recommended by the program. The MS excel and ArcGIS 10.3 softwares were used for data cleaning and spatial analysis respectively. Global and local level clustering was assessed. For the none spatial data and the determinant factors, data cleaning and analysis was done using STATA 14. Multi-level mixed effect logistic regression model was fitted. Variables with P-value <0.25 in the bi-variable analysis were fitted in the multi-variable analysis. Finally, variables with p-value <0.05 with 95% CI of adjusted odds ratio were reported as a statistically significant determinants of FGM. Result : Female genital mutilation was spatially clustered (Global Moran’s I: 0.46, p<0.001). Significant hot spot clusters were found in Amhara, Oromia, Southern Nations Nationalities and Peoples (SNNP) regions. Mothers age >30 (AOR=2.41, 95% CI: 1.78,3.26) years, never in union (AOR=0.31, 95%CI: 0.22, 0.44), currently not working (AOR=0.71, 95%CI: 0.55, 0.92), women who considered FGM to be continued (AOR=2.86, 95%CI: 1.75, 4.68), not heard of FGM (AOR=0.22, 95%CI: 0.08,0.62), had no formal education (AOR=1.67, 95% CI: 1.03, 2.71), muslim (AOR=3.90, 95%CI:2.5, 6.09) and protestant (AOR=1.76, 95%CI: 1.25, 2.97), and those who thought of FGM as required by religion (AOR=1.99, 95%CI: 1.31,2.99) were found to be significant determinants of female genital mutilation. Conclusion: Female genital mutilation was spatially clustered with hotspot areas located. in Amhara, Oromia, and SNNP regions . Age of the mother, religion, occupation, educational level, marital status, information about Female genital mutilation, and intention about FGM to be stopped or continued were significant determinants of female genital mutilation

scholarly journals Spatial distribution and determinant factors of Female Genital Mutilation among reproductive age women in Ethiopia, 2016; Based on Ethiopian National Demographic and Health Survey

2020 ◽  
Author(s):  
Atalay Goshu Muluneh ◽  
Getahun Molla Kassa ◽  
Mehari WoldeMariam Merid
Keyword(s):  
Spatial Distribution ◽  
Health Survey ◽  
Female Genital Mutilation ◽  
Data Cleaning ◽  
Demographic And Health Survey ◽  
P Value ◽  
Genital Mutilation ◽  
Determinant Factors ◽  
Female Genital ◽  
Variable Analysis

Abstract Background: Though condemned and considered as a crime by the countries government, Female Genital Mutilation (FGM) remains a common public health problem in Africa and Ethiopia as well. Every year, more than 3 million females undergo FGM and most of them are in Africa. Thus, this study was aimed to assess the spatial distribution and associated factors of female genital mutilation in Ethiopia based on the Ethiopian demographic and Health Survey 2016 data.Method: This is a secondary data analysis of Ethiopian Demographic and Health Survey (EDHS) 2016 data based on 7,163 women who were included for the FGM interview. The data were weighted using sampling weight as recommended by the program. The MS Excel and ArcGIS 10.3 software were used for data cleaning and spatial analysis respectively. Global and local level clustering was assessed. For the none spatial data and the determinant factors, data cleaning and analysis were done using STATA 14. Since the data has significant clustering with the Intraclass Correlation Coefficient [ICC=0.61(0.56, 0.65)], a multi-level mixed-effect logistic regression model was fitted. Variables with a P-value <0.25 in the bi-variable analysis were fitted in the multi-variable analysis. Finally, variables with p-value <0.05 with 95% CI of adjusted odds ratio were reported as a statistically significant determinant of FGM.Result: Female genital mutilation was spatially clustered (Global Moran’s I: 0.46, p<0.001). Significant hot spot clusters were found in Amhara, Oromia, Southern Nations Nationalities and Peoples (SNNP) regions. Mothers age >30 (AOR=2.41, 95% CI: 1.78,3.26) years, never in union (AOR=0.31, 95%CI: 0.22, 0.44), currently not working (AOR=0.71, 95%CI: 0.55, 0.92), women who considered FGM to be continued (AOR=2.86, 95%CI: 1.75, 4.68), not heard of FGM (AOR=0.22, 95%CI: 0.08,0.62), had no formal education (AOR=1.67, 95% CI: 1.03, 2.71), Muslim (AOR=3.90, 95%CI:2.5, 6.09) and protestant (AOR=1.76, 95%CI: 1.25, 2.97), and those who thought of FGM required by religion (AOR=1.99, 95%CI: 1.31,2.99) were found to be significant determinants of female genital mutilation.Conclusion: Female genital mutilation was spatially clustered with hotspot areas located:in Amhara, Oromia, and SNNP regions. Age of the mother, religion, occupation, educational level, marital status, information about Female genital mutilation, and intention about FGM to be stopped or continued were significant determinants of female genital mutilation

scholarly journals Spatial distribution and determinant factors of Female Genital Mutilation among reproductive age women in Ethiopia, 2016; Based on Ethiopian National Demographic and Health Survey

2019 ◽  
Author(s):  
Atalay Goshu Muluneh ◽  
Getahun Molla Kassa ◽  
Mehari Mariam Merid
Keyword(s):  
Spatial Distribution ◽  
Spatial Analysis ◽  
Health Survey ◽  
Female Genital Mutilation ◽  
Data Cleaning ◽  
Demographic And Health Survey ◽  
P Value ◽  
Genital Mutilation ◽  
Female Genital ◽  
Variable Analysis

Abstract Background : Though condemned and considered as a crime by the countries government, Female Genital Mutilation (FGM) remains a common public health problem in Africa and Ethiopia as well. Thus, this study was aimed to assess the spatial distribution and associated factors of female genital mutilation in Ethiopia based on the Ethiopian demographic and Health survey 2016 data. Method: This is a secondary data analysis of Ethiopian Demographic and Health Survey (EDHS) 2016 data based on 7,163 women who were included for FGM interview. The data was weighted using sampling weight as recommended by the program. The MS excel and ArcGIS 10.3 softwares were used for data cleaning and spatial analysis respectively. Global and local level clustering was assessed. For the none spatial data and the determinant factors, data cleaning and analysis was done using STATA 14. Multi-level mixed effect logistic regression model was fitted. Variables with P-value <0.25 in the bi-variable analysis were fitted in the multi-variable analysis. Finally, variables with p-value <0.05 with 95% CI of adjusted odds ratio were reported as a statistically significant determinants of FGM. Result : Female genital mutilation was spatially clustered (Global Moran’s I: 0.46, p<0.001). Significant hot spot clusters were found in Amhara, Oromia, Southern Nations Nationalities and Peoples (SNNP) regions. Mothers age >30 (AOR=2.41, 95% CI: 1.78,3.26) years, never in union (AOR=0.31, 95%CI: 0.22, 0.44), currently not working (AOR=0.71, 95%CI: 0.55, 0.92), women who considered FGM to be continued (AOR=2.86, 95%CI: 1.75, 4.68), not heard of FGM (AOR=0.22, 95%CI: 0.08,0.62), had no formal education (AOR=1.67, 95% CI: 1.03, 2.71), muslim (AOR=3.90, 95%CI:2.5, 6.09) and protestant (AOR=1.76, 95%CI: 1.25, 2.97), and those who thought of FGM as required by religion (AOR=1.99, 95%CI: 1.31,2.99) were found to be significant determinants of female genital mutilation. Conclusion: Female genital mutilation was spatially clustered with hotspot areas located. in Amhara, Oromia, and SNNP regions . Age of the mother, religion, occupation, educational level, marital status, information about Female genital mutilation, and intention about FGM to be stopped or continued were significant determinants of female genital mutilation Key words : Female Genital Mutilations, Spatial analysis

scholarly journals Spatial distribution and determinant factors of Female Genital Mutilation among reproductive age women in Ethiopia, 2016; Based on Ethiopian National Demographic and Health Survey

2020 ◽  
Author(s):  
Atalay Goshu Muluneh ◽  
Getahun Molla Kassa ◽  
Mehari WoldeMariam Merid
Keyword(s):  
Spatial Distribution ◽  
Health Survey ◽  
Female Genital Mutilation ◽  
Data Cleaning ◽  
Demographic And Health Survey ◽  
P Value ◽  
Genital Mutilation ◽  
Dire Dawa ◽  
Female Genital ◽  
Variable Analysis

Abstract Background: Though condemned and considered as a crime by the countries government, Female Genital Mutilation (FGM) remains a common public health problem in Africa and Ethiopia as well. Every year, more than 3 million females undergo FGM and most of them are in Africa. Thus, this study was aimed to assess the spatial distribution and associated factors of female genital mutilation in Ethiopia based on the Ethiopian demographic and Health Survey 2016 data. Method: This is a secondary data analysis of Ethiopian Demographic and Health Survey (EDHS) 2016 data based on 7,163 women who were included for the FGM interview. The data were weighted using sampling weight as recommended by the program. The MS Excel and ArcGIS 10.3 software were used for data cleaning and spatial analysis respectively. Global and local level clustering was assessed. For the none spatial data and the determinant factors, data cleaning and analysis were done using STATA 14. Since the data has significant clustering with the Intraclass Correlation Coefficient [ICC=0.61(0.56, 0.65)], a multi-level mixed-effect logistic regression model was fitted. Variables with a P-value <0.25 in the bi-variable analysis were fitted in the multi-variable analysis. Finally, variables with p-value <0.05 with 95% CI of adjusted odds ratio were reported as a statistically significant determinant of FGM. Result: Female genital mutilation was spatially clustered (Global Moran’s I: 0.48, p<0.001). Significant hot spot clusters were found in Eastern-Amhara, Oromia, Southern Nations Nationalities and Peoples (SNNP) regions, Dire-Dawa, and Harari. Mothers age >30 (AOR=2.41, 95% CI: 1.78,3.26) years, never in union (AOR=0.31, 95%CI: 0.22, 0.44), currently not working (AOR=0.71, 95%CI: 0.55, 0.92), women who considered FGM to be continued (AOR=2.86, 95%CI: 1.75, 4.68), not heard of FGM (AOR=0.22, 95%CI: 0.08,0.62), had no formal education (AOR=1.67, 95% CI: 1.03, 2.71), Muslim (AOR=3.90, 95%CI:2.5, 6.09) and protestant (AOR=1.76, 95%CI: 1.25, 2.97), and those who thought of FGM required by religion (AOR=1.99, 95%CI: 1.31,2.99) were found to be significant determinants of female genital mutilation.Conclusion: Female genital mutilation was spatially clustered with hotspot areas found:in Eastern-Amhara, Oromia, and SNNP regions, Dire-Dawa and Harari administrative. Age of the mother, religion, occupation, educational level, marital status, information about Female genital mutilation, and intention about FGM to be stopped or continued were significant determinants of female genital mutilation

scholarly journals Female Genital Mutilation in Benin: Prevalence and Associated Factors Based on Data from the Demographic and Health Survey, 2011-2012

2019 ◽  
Vol 4 (4) ◽  
pp. 74
Author(s):  
Alphonse Kpozehouen ◽  
Yolaine Glele Ahanhanzo ◽  
Elvyre Klikpo ◽  
Colette Azandjame ◽  
Alphonse Chabi ◽  
...  
Keyword(s):  
Health Survey ◽  
Female Genital Mutilation ◽  
Associated Factors ◽  
Demographic And Health Survey ◽  
Genital Mutilation ◽  
Female Genital

scholarly journals Factors associated with female genital mutilation among women of reproductive age and girls aged 0–14 in Chad: a mixed-effects multilevel analysis of the 2014–2015 Chad demographic and health survey data

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Bright Opoku Ahinkorah
Keyword(s):  
Health Survey ◽  
Female Genital Mutilation ◽  
Employment Status ◽  
Mixed Effects ◽  
Demographic And Health Survey ◽  
Level Of Education ◽  
Genital Mutilation ◽  
Factors Associated ◽  
Women And Girls ◽  
Female Genital

Abstract Background Chad is one of the African countries with high prevalence of female genital mutilation (FGM). The aim of this study was to examine the factors associated with FGM among women aged 15–49 and girls aged 0–14 in Chad. Methods Data for the study were obtained from the 2014–2015 Chad Demographic and Health Survey. FGM among women aged 15–49 and girls aged 0–14 were the outcome variables. The prevalence of FGM among women and girls were presented using percentages while a mixed-effects multilevel multivariable logistic regression analysis was carried out to assess the factors associated with FGM. The results were presented using adjusted odds ratio with associated 95% confidence intervals. Results The results indicate that more than half (50.2%) of the women and 12.9% of girls in Chad had been circumcised. Among women aged 15–49, level of education, employment status, ethnicity, religion, wealth quintile and community literacy level were significant predictors of FGM. Age, partner’s level of education, marital status, employment status, ethnicity, religion and mother’s FGM status were associated with FGM among girls aged 0–14. Conclusion This study has identified several individual and contextual factors as predictors of FGM among women and girls in Chad. The findings imply the need to adopt strategies aimed at addressing these factors in order to help eliminate the practice of FGM. Government and non-governmental organisations in Chad need to implement policies that enhance media advocacy and community dialogue to help deal with FGM in the country.

scholarly journals Do educated women in Sierra Leone support discontinuation of female genital mutilation/cutting? Evidence from the 2013 Demographic and Health Survey

2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Edward Kwabena Ameyaw ◽  
Sanni Yaya ◽  
Abdul-Aziz Seidu ◽  
Bright Opoku Ahinkorah ◽  
Linus Baatiema ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Sierra Leone ◽  
Health Survey ◽  
Female Genital Mutilation ◽  
Formal Education ◽  
Binary Logistic Regression ◽  
Demographic And Health Survey ◽  
Odds Ratios ◽  
Genital Mutilation ◽  
Female Genital

Abstract Introduction Female genital mutilation/cutting (FGM/C) comprises all procedures that involve the total or partial elimination of the external genitalia or any injury to the female genital organ for non-medical purposes. More than 200 million females have undergone the procedure globally, with a prevalence of 89.6% in Sierra Leone. Education is acknowledged as a fundamental strategy to end FGM/C. This study aims to assess women's educational attainment and how this impacts their views on whether FGM/C should be discontinued in Sierra Leone. Methods We used data from the 2013 Sierra Leone Demographic and Health Survey. A total of 15,228 women were included in the study. We carried out a descriptive analysis, followed by Binary Logistic Regression analyses. We presented the results of the Binary Logistic Regression as Crude Odds Ratios (COR) and Adjusted Odds Ratios (AOR) with 95% confidence intervals (CIs). Results Most of the women with formal education (65.5%) and 15.6% of those without formal education indicated that FGM/C should be discontinued. Similarly, 35% of those aged 15–19 indicated that FGM/C should be discontinued. Women with a higher education level had a higher likelihood of reporting that FGM/C should be discontinued [AOR 4.02; CI 3.00–5.41]. Christian women [AOR 1.72; CI 1.44–2.04], those who reported that FGM/C is not required by religion [AOR 8.68; CI 7.29–10.34], wealthier women [AOR 1.37; CI 1.03–1.83] and those residing in the western part of Sierra Leone [AOR 1.61; CI 1.16–2.23] were more likely to state that FGM/C should be discontinued. In contrast, women in union [AOR 0.75; CI 0.62–0.91], circumcised women [AOR 0.41; CI 0.33–0.52], residents of the northern region [AOR 0.63; CI 0.46–0.85] and women aged 45–49 [AOR 0.66; CI 0.48–0.89] were less likely to report that FGM/C should be discontinued in Sierra Leone. Conclusion This study supports the argument that education is crucial to end FGM/C. Age, religion and religious support for FGM/C, marital status, wealth status, region, place of residence, mothers' experience of FGM/C and having a daughter at home are key influences on the discontinuation of FGM/C in Sierra Leone. The study demonstrates the need to pay critical attention to uneducated women, older women and women who have been circumcised to help Sierra Leone end FGM/C and increase its prospects of achieving Sustainable Development Goals (SDG) three and five.

scholarly journals Sexual Function in Women With and Without Female Genital Mutilation in Reproductive Age in South of Iran

2021 ◽  
Author(s):  
Mahshid Bokaie ◽  
Samaneh Hatefi ◽  
Shahnaz Mojahed ◽  
Nasibeh Roozbeh
Keyword(s):  
Sexual Function ◽  
Female Genital Mutilation ◽  
Reproductive Age ◽  
Public Health Issue ◽  
P Value ◽  
Women Of Reproductive Age ◽  
Genital Mutilation ◽  
Significant Difference ◽  
The Impact ◽  
Female Genital

Abstract Objectives: Female genital mutilation (FGM) is an important public health issue, especially in developing countries and it is still done in some parts of Iran. This study aimed to investigate the effect of FGM on the sexual function of women of reproductive age in Hormozgan province/IRAN.Study design: This study is a descriptive-analytical case-control study that was conducted in 2020 on 209 married women of reproductive age (15-49) in rural areas of Minab and Sirik counties in Hormozgan province/IRAN. Main outcome measures: The reliable and valid questionnaire FSFI for assessing female sexual function in the two groups was used after to obtain informed and voluntary consent from all participants and data with SPSS v: 16 software and with using descriptive/ Analytical statistics tests with a significant level of 0.05 were examined. Results: There is a significant difference between mutilated and non-mutilated women in the total score of sexual function(22.18±3.23 versus 23.41±2.52 respectively, p=0.023) and the domains of lubrication(3.04±0.62 versus 3.3±0.53 respectively, P=0.000), orgasm(3.81±0.63 versus 4.08±0.47 respectively, P=0.003), and sexual satisfaction(5.09±0.1 versus 5.37±0.87 respectively, P=0.017) But in the domains of desire, arousal, and pain in the two groups was no significant difference(P-value>0.05). Conclusion: FGM maybe leads to sexual dysfunction. Although most women were reluctant to perform mutilation on their daughters, more educational Actions are suggested to educate women about the impact of female mutilation on their sexual function. Counseling programs are also recommended to improve the sexual function of mutilated women.

scholarly journals 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.

2020 ◽  
Author(s):  
Zemenu Tessema Tadesse
Keyword(s):  
Spatial Distribution ◽  
Health Survey ◽  
Associated Factors ◽  
Demographic And Health Survey ◽  
Reproductive Age ◽  
Scan Statistics ◽  
Early Marriage ◽  
P Value ◽  
Factors Associated ◽  
Reproductive Age Women

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 of Female Genital Mutilation in Nigeria

2009 ◽  
Vol 81 (5) ◽  
pp. 784-792 ◽  
Author(s):  
Ngianga-Bakwin Kandala ◽  
Shadrack Ngianga I. I. Kandala ◽  
Ngozi Nwakeze
Keyword(s):  
Spatial Distribution ◽  
Female Genital Mutilation ◽  
Genital Mutilation ◽  
Female Genital
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