scholarly journals Geographically vary determinants of High-Risk Fertility Behavior among Reproductive age women in Ethiopia. Geographically Weighted Regression Analysis

2020 ◽  
Author(s):  
Zemenu Tessema Tadesse ◽  
Melkalem Mamuye Azanaw ◽  
Yeaynmarnesh Asmare ◽  
Kassahun Alemu Gelaye
Keyword(s):  
High Risk ◽  
Geographically Weighted Regression ◽  
Home Delivery ◽  
Fertility Behavior ◽  
Reproductive Age ◽  
Weighted Regression ◽  
Spatial Clusters ◽  
Geographical Weighted Regression ◽  
Reproductive Age Women ◽  
Weighted Regression Analysis

Abstract Background Maternal and child mortality is the main public health problem worldwide and it is the major health concern in developing countries such as Africa and Asia. Fertility behavior of women characterized in relation to maternal age, birth spacing, and order which has an impact on the health of women and children. The aim of this study was to assess the geographically vary Risk factors of High-Risk Fertility Behavior(HRFB) among reproductive-age women in Ethiopia. Methods A total of 11,022 reproductive-age women were included in this study. The data was cleaned and weighted by STATA 14.1 software. Bernoulli based spatial scan statistics were used to identify the presence of purely spatial clusters HRFB using Kulldorff’s SaTScan version 9.6 software. ArcGIS 10.7 was used to visualize spatial distribution for HRFB. Geographical weighted regression analysis was employed by Multiscale Geographical weighted regression version 2.0 software. A P-value of less than 0.05 was used to declare statistically significant predictors locally. Results Overall, 76% with 95% confidence interval of 75.60 to 77.20 of reproductive age women were faced with High-Risk Fertility problems in Ethiopia. High-Risk Fertility Behavior was highly clustered at the Somali, and Afar regions of Ethiopia. SaTScan identified 385 primary spatial clusters (RR= 1.13, P < 0.001) located at Somali, Afar, and some parts of Oromia Regional State of Ethiopia. Women live in primary clusters were 13% more likely venerable HRFB than outside the cluster. In geographically weighted regression not contraceptive use, and home delivery were statistically significant spatially vary risk factors affecting HRFB. Conclusion In Ethiopia, HRFB had to vary geographically across regions. Statistically, a significant-high hot spot of HRFB was identified at Somali and Afar. This study showed that predictor variables for HRFB were varied spatially in Ethiopia. Not use a contraceptive, and home delivery were statistically significant predictors locally in different regions of Ethiopia. Therefore, policymakers and health planners should design an effective intervention program at Somali, and Afar to reduce HRFB and Special attention needs about health education on the advantage of contraceptive utilization and health facility delivery to reduce HRFB.

scholarly journals Geographical variation in determinants of high-risk fertility behavior among reproductive age women in Ethiopia using the 2016 Demographic and Health Survey: a geographically weighted regression analysis.

2020 ◽  
Author(s):  
Zemenu Tessema Tadesse ◽  
Melkalem Mamuye Azanaw ◽  
Yeaynmarnesh Asmare ◽  
Kassahun Alemu Gelaye
Keyword(s):  
High Risk ◽  
Geographically Weighted Regression ◽  
Contraceptive Use ◽  
Local Level ◽  
Home Delivery ◽  
Fertility Behavior ◽  
Reproductive Age ◽  
Weighted Regression ◽  
Reproductive Age Women ◽  
Weighted Regression Analysis

Abstract Background: Maternal and child mortalities are the main public health problems worldwide and both are the major health concern in developing countries such as Africa and Asia. The fertility behavior of women characterized by maternal age, birth spacing, and order, impacts the health of women and children. The aim of this study was to assess the geographically variation in risk factors of high-risk fertility behavior (HRFB) among reproductive-age women in Ethiopia using the 2016 Demographic and Health Survey.Methods: A total of 11,022 reproductive-age women were included in this study. The data were cleaned and weighted by STATA 14.1 software. Bernoulli based spatial scan statistics was used to identify the presence of pure high-risk fertility behavior spatial clusters using Kulldorff’s SaTScan version 9.6 software. ArcGIS 10.7 was used to visualize the spatial distribution of high-risk fertility behavior. Geographically weighted regression analysis was employed by multiscale geographical using Multiscale geographical weighted regression version 2.0 software. A p-value of less than 0.05 was used to declare statistically significant predictors (at a local level). Results: Overall, 76 % with 95 % confidence interval of 75.60 to 77.20 of reproductive age women were faced with high-risk fertility problems in Ethiopia. High-risk fertility behavior was highly clustered in the Somali and Afar regions of Ethiopia. SaTScan identified 385 primary spatial clusters (RR= 1.13, P < 0.001) located at Somali, Afar, and some parts of Oromia Regional Stateregional state of Ethiopia. Women who are living in primary clusters were 13% more likely venerable to high-risk fertility behavior than outside the cluster. In geographically weighted regression, not using contraceptives and home delivery were statistically significant vary risk factors affecting high- risk fertility behavior spatially. No contraceptive use and home delivery were statistically significant predictors ( at the local level) in different regions of Ethiopia.Conclusion: In Ethiopia, HRFB varies across regions. Statistically, a significant-high hot spot high-risk fertility behavior was identified at Somali and Afar. No contraceptive use and home delivery were statistically significant predictors (at a local level) in different regions of Ethiopia. Therefore, policymakers and health planners better to design an effective intervention program at Somali, and Afar to reduce high-risk fertility behavior and Special attention needs about health education on the advantage of contraceptive utilization and health facility delivery to reduce high-risk fertility behavior.

scholarly journals Association between maternal high-risk fertility behavior and anemia among reproductive age women in Ethiopia

2020 ◽  
Author(s):  
Noha Fadl ◽  
Zelalem T. Haile ◽  
Gillian H. Ice
Keyword(s):  
High Risk ◽  
Public Health Problem ◽  
Secondary Data ◽  
Fertility Behavior ◽  
Reproductive Age ◽  
Urban Residents ◽  
Major Public Health Problem ◽  
Place Of Residence ◽  
Rural Residents ◽  
Reproductive Age Women

Abstract Objectives Anemia constitutes a major public health problem in low- and middle-income countries. The purpose of this study was to examine the individual and combined influence of high-risk fertility behavior on anemia among reproductive age women in Ethiopia.Methods Secondary data analysis was conducted using a nationally representative sample of women aged 15-49 years from the 2016 Ethiopia Demographic and Health Survey (n=5799). Anemia status was the outcome of interest. Maternal high-risk fertility behaviors were measured using maternal age at delivery, birth order and birth interval. Descriptive statistics and multivariable regression models were performed.Results Overall, 28.7% of women had anemia and 71.4% experienced at least one high-risk fertility behavior. In the multivariable model, there was a significant interaction between high-risk fertility behavior and place of residence on anemia. Women with any high-risk fertility behavior were more likely to have anemia than women without any high-risk fertility behavior. However, the strength of association differed by place of residence (AOR: 2.68; 95% CI, 1.26-5.67 for urban and AOR: 1.27; 95% CI, 1.01-1.61 for rural residents). Single high-risk fertility behavior was significantly associated with anemia only among urban residents (AOR: 2.65; 95% CI, 1.20-5.83). Multiple high-risk fertility behavior significantly increased the odds of anemia, with stronger association among urban residents (AOR: 2.82; 95% CI, 1.14-6.95) than rural residents (AOR: 1.56; 95% CI, 1.11-2.19).Conclusions Place of residence moderated the relationship between high-risk fertility behaviors and anemia. Our findings suggest the need for context-specific strategies and interventions to prevent anemia.

scholarly journals Determinants of high-risk fertility behavior among reproductive-age women in Ethiopia using the recent Ethiopian Demographic Health Survey: a multilevel analysis

2020 ◽  
Vol 48 (1) ◽  
Author(s):  
Zemenu Tadesse Tessema ◽  
Koku Sisay Tamirat
Keyword(s):  
High Risk ◽  
Maternal Health ◽  
Health Survey ◽  
Odds Ratio ◽  
Adjusted Odds Ratio ◽  
Secondary Data ◽  
Fertility Behavior ◽  
Reproductive Age ◽  
Reproductive Age Women ◽  
Unwanted Pregnancies

Abstract Background High-risk fertility behavior is associated with numerous unfavorable child and maternal health outcomes such as chronic undernutrition, anemia, and child mortality. As far as our knowledge goes, there is not much study on determinants of high-risk fertility behavior in Ethiopia. Therefore, this study aimed to assess determinants of high-risk fertility behavior among reproductive-age women in Ethiopia. Method The study was based on secondary data analysis from the 2016 Ethiopia Demography and Health Survey. A total of 11,022 women who gave birth 5 years preceding the survey were included in this study. Kid’s Record (KR) dataset was used. The adjusted odds ratio (AOR) with its 95% confidence interval (CI) was calculated for those variables included in the multilevel logistic regression model. P value ≤ 0.05 was employed to declare the statistically significant variables. Results More than three-fourths (76.9%) of (95% CI 76.11 to 77.69) reproductive-age women had at least one high-risk fertility behavior. Attended primary and secondary education adjusted odds ratio (AOR) (AOR = 0.71; 95% CI 0.63, 0.80 and AOR = 0.73; 95% CI 0.60, 0.89, respectively), never used contraceptive (AOR = 1.25, 95% CI 1.12, 1.40), unwanted pregnancies (AOR = 1.40, 95% CI 1.23, 1.59), had no ANC visit (AOR = 1.19, 95% CI 1.05, 1.35), rural-dwelling (AOR = 1.26, 95% CI 1.04, 1.51), regions of Ethiopia [Somalia (AOR = 1.70; 95% CI 1.24, 2.32) and Amhara (AOR = 0.72; 95% CI 0.53, 0.96)] were determinants of high-risk fertility behavior. Conclusion Education, rural residence, unwanted pregnancies, no antenatal care follow-up, and never used contraceptives were determinants of high-risk fertility behavior. Therefore, increased maternal health services, special intervention for hotspot areas, and giving special attention to rural dweller women were highly recommended.

scholarly journals Association Between Maternal High-risk Fertility Behavior and Pregnancy Intention Among Women Aged 15 to 49 in Rwanda: Analysis of the 2014-15 Rwanda Demographic and Health Survey

2021 ◽  
Author(s):  
Aurore Nishimwe ◽  
Philomene Uwimana ◽  
Liberee Rumagihwa ◽  
Alfred Rutagengwa ◽  
Laetitia Nyirazinyoye ◽  
...  
Keyword(s):  
High Risk ◽  
Unintended Pregnancy ◽  
Health Survey ◽  
Secondary Data ◽  
Cross Sectional Study ◽  
Pregnancy Intention ◽  
Fertility Behavior ◽  
Demographic And Health Survey ◽  
Reproductive Age ◽  
Cross Sectional

Abstract Background: Maternal high-risk fertility behaviors have been linked to negative maternal and child health outcomes that include anaemia, undernutrition, and child mortality. In this context, we examined the association between maternal high-risk fertility behavior and pregnancy intention among women of reproductive age in Rwanda.Methods: This cross-sectional study is based on secondary data from the 2014–15 Rwanda Demographic and Health Survey (n=5661). The outcome of interest was pregnancy intention of the last child defined as intended or unintended. Maternal high-risk fertility behaviors were measured using maternal age at delivery, birth order, and birth interval. Chi-square test and multivariable regression models were performed. Results: The prevalence of unintended pregnancy was 46.8% (n=2652). Overall, 35.8% (n=2017) of women experienced single high-risk fertility behavior, while 23.1% (n=1282) of women experienced multiple high-risk fertility behaviors. Compared to women who have not experienced high-risk fertility behavior, the multivariable odds ratio (95% CI) of unintended pregnancy among women in single-risk and multiple-risk fertility behaviors were 2.00 (1.75, 2.28; p <0.001) and 2.49 (2.09, 2.95; p <0. 001.), respectively.Conclusion: Exposure to high-risk fertility behaviors is positively associated with unintended pregnancy among women in Rwanda. Therefore, reproductive and sexual health services should pay special attention to women who are <18 years or >34 years old; who have more than three children already; or have children with less than 24 months’ interval between giving birth.

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