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Zemenu Tadesse Tessema - One of the best experts on this subject based on the ideXlab platform.
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Determinants of high-risk Fertility Behavior among reproductive-age women in Ethiopia using the recent Ethiopian Demographic Health Survey: a multilevel analysis.
Tropical medicine and health, 2020Co-Authors: Zemenu Tadesse Tessema, Koku Sisay TamiratAbstract: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. 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. 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. 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.
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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
Archives of public health = Archives belges de sante publique, 2020Co-Authors: Zemenu Tadesse Tessema, Melkalem Mamuye Azanaw, Yeaynmarnesh Asmare Bukayaw, Kassahun Alemu GelayeAbstract: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
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Spatial Distributions and Determinants of High-risk Fertility Behavior among Women in Ethiopia: Further Analysis from 2016 Ethiopia Demographic Health Survey
2020Co-Authors: Zemenu Tadesse Tessema, Koku Sisay TamiratAbstract:Abstract Background: High-risk Fertility Behavior associated with numerous unfavorable child and maternal health outcomes such as chronic undernutrition, anemia, and child mortality. Although different studies have been conducted to assess the magnitude and effects of high-risk Fertility Behaviors, there are limited shreds of evidence about the geographical distributions and determinants in Ethiopia. Therefore, this study aimed to assess the spatial distributions and determinants of high-risk Fertility Behavior among reproductive-age women in Ethiopia. Method: This study was based on secondary data analysis from the 2016 Ethiopia Demography and Health Survey. Information about 11,022 women who gave birth five years preceding the survey were extracted from the kid’s record (KR) file. For the spatial analysis ArcGIS 10.6 and Sat ScanTM 9.6, were used and for multilevel analysis, STATA 14.1 was used. Mixed effect Multivariable multilevel logistic regression model was fitted to identify determinants of high-risk Fertility Behavior.Result: More than three fourth (76.5%) with 95%CI (75.1 to 77.1) women had high-risk Fertility Behavior. From the spatial analysis, high-risk Fertility Behavior in Ethiopia geographically varies, the eastern and northern parts of the country such as Somalia and Tigray had an increased risk of Fertility Behavior. Primary education (AOR=0.71, 95% CI: 0.63 to 0.80) and secondary (AOR=0.73; 95% CI: 0.60 to 0.89), not ever used contraceptive (AOR=1.25, 95%CI: 1.12 1.40), unwanted pregnancy (AOR=1.40, 95%CI: 1.23 1.59), 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: High-risk Fertility Behavior was significantly higher and geographical variations also noticed and the eastern and northern parts of the country were the hot spot areas. Education, rural residence, unwanted pregnancies, No ANC visit, and contraceptive use were determinants of high-risk Fertility Behavior. This suggests that areas with high-risk fertilities need special interventions to avert related complications.
Koku Sisay Tamirat - One of the best experts on this subject based on the ideXlab platform.
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Determinants of high-risk Fertility Behavior among reproductive-age women in Ethiopia using the recent Ethiopian Demographic Health Survey: a multilevel analysis.
Tropical medicine and health, 2020Co-Authors: Zemenu Tadesse Tessema, Koku Sisay TamiratAbstract: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. 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. 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. 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.
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Spatial Distributions and Determinants of High-risk Fertility Behavior among Women in Ethiopia: Further Analysis from 2016 Ethiopia Demographic Health Survey
2020Co-Authors: Zemenu Tadesse Tessema, Koku Sisay TamiratAbstract:Abstract Background: High-risk Fertility Behavior associated with numerous unfavorable child and maternal health outcomes such as chronic undernutrition, anemia, and child mortality. Although different studies have been conducted to assess the magnitude and effects of high-risk Fertility Behaviors, there are limited shreds of evidence about the geographical distributions and determinants in Ethiopia. Therefore, this study aimed to assess the spatial distributions and determinants of high-risk Fertility Behavior among reproductive-age women in Ethiopia. Method: This study was based on secondary data analysis from the 2016 Ethiopia Demography and Health Survey. Information about 11,022 women who gave birth five years preceding the survey were extracted from the kid’s record (KR) file. For the spatial analysis ArcGIS 10.6 and Sat ScanTM 9.6, were used and for multilevel analysis, STATA 14.1 was used. Mixed effect Multivariable multilevel logistic regression model was fitted to identify determinants of high-risk Fertility Behavior.Result: More than three fourth (76.5%) with 95%CI (75.1 to 77.1) women had high-risk Fertility Behavior. From the spatial analysis, high-risk Fertility Behavior in Ethiopia geographically varies, the eastern and northern parts of the country such as Somalia and Tigray had an increased risk of Fertility Behavior. Primary education (AOR=0.71, 95% CI: 0.63 to 0.80) and secondary (AOR=0.73; 95% CI: 0.60 to 0.89), not ever used contraceptive (AOR=1.25, 95%CI: 1.12 1.40), unwanted pregnancy (AOR=1.40, 95%CI: 1.23 1.59), 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: High-risk Fertility Behavior was significantly higher and geographical variations also noticed and the eastern and northern parts of the country were the hot spot areas. Education, rural residence, unwanted pregnancies, No ANC visit, and contraceptive use were determinants of high-risk Fertility Behavior. This suggests that areas with high-risk fertilities need special interventions to avert related complications.
Kassahun Alemu Gelaye - One of the best experts on this subject based on the ideXlab platform.
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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
Archives of public health = Archives belges de sante publique, 2020Co-Authors: Zemenu Tadesse Tessema, Melkalem Mamuye Azanaw, Yeaynmarnesh Asmare Bukayaw, Kassahun Alemu GelayeAbstract: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
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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.
2020Co-Authors: Zemenu Tessema Tadesse, Melkalem Mamuye Azanaw, Yeaynmarnesh Asmare, Kassahun Alemu GelayeAbstract: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.
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Geographically vary determinants of High-Risk Fertility Behavior among Reproductive age women in Ethiopia. Geographically Weighted Regression Analysis
2020Co-Authors: Zemenu Tessema Tadesse, Melkalem Mamuye Azanaw, Yeaynmarnesh Asmare, Kassahun Alemu GelayeAbstract: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.
Ta-i Yamada - One of the best experts on this subject based on the ideXlab platform.
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An economic analysis of Chinese Fertility Behavior.
Social science & medicine (1982), 1996Co-Authors: Gordon G. Liu, Tetsuji Yamada, Ta-i YamadaAbstract:This paper is the first to present a Chinese general Fertility model that simultaneously controls for the endogeneity of infant mortality and per capita income determination at county level. Using the 1982 Chinese population census data, comprising 2305 observational units, this analysis improves on existing studies in several ways. First, since all the underlying variables are measured at the Chinese county level, we treat both the per capita income and infant mortality rates as endogenous, as opposed to exogenous as assumed in most previous studies on Chinese Fertility. Our testing results strongly reject the null hypothesis of the exogeneity of both infant mortality and income determination within our model. Secondly, concerning the hypothesis of nonlinear income effect on Fertility Behavior, we examine both the variable income-elasticity and constant income-elasticity models. Strong evidence is obtained in support of the variable income elasticity model, predicting a U-shaped income effect on Chinese general Fertility. This suggests that a more equitable income distribution leads to a reduction in the Chinese Fertility rates. Thirdly, employing the two stage least squares procedure, we find a much stronger positive replacement effect of infant mortality when the endogeneity of infant mortality and income are both controlled for simultaneously. Our results indicate that Chinese general Fertility may well be shaped by optimizing Behavior.
Partha Dasgupta - One of the best experts on this subject based on the ideXlab platform.
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social dimensions of Fertility Behavior and consumption patterns in the anthropocene
Proceedings of the National Academy of Sciences of the United States of America, 2020Co-Authors: Scott Barrett, Partha Dasgupta, Aisha Dasgupta, Neil W Adger, John M Anderies, Jeroen C J M Van Den Bergh, Caroline H Bledsoe, John Bongaarts, Stephen R CarpenterAbstract:We consider two aspects of the human enterprise that profoundly affect the global environment: population and consumption. We show that Fertility and consumption Behavior harbor a class of externalities that have not been much noted in the literature. Both are driven in part by attitudes and preferences that are not egoistic but socially embedded; that is, each household's decisions are influenced by the decisions made by others. In a famous paper, Garrett Hardin [G. Hardin, Science 162, 1243-1248 (1968)] drew attention to overpopulation and concluded that the solution lay in people "abandoning the freedom to breed." That human attitudes and practices are socially embedded suggests that it is possible for people to reduce their Fertility rates and consumption demands without experiencing a loss in wellbeing. We focus on Fertility in sub-Saharan Africa and consumption in the rich world and argue that bottom-up social mechanisms rather than top-down government interventions are better placed to bring about those ecologically desirable changes.
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Environmental and resource economics in the world of the poor
1997Co-Authors: Partha DasguptaAbstract:Introduction Paul R. Portney The Environment in Environmental and Development Economics Orthodox Dichotomies and Their Limitations Communal Rights and the Local Commons Institutional Failure as a Cause of Environmental Degradation Fertility Behavior and the Structure of Households Population, Poverty, and the Local Environment Some Tentative Conclusions