Spatial Distribution And Determinant Factors Of Birth Interval Among Reproductive Age Group Women, Based On Edhs 2016, Ethiopia, 2019.

2020 ◽  
Author(s):  
Zegeye Regasa ◽  
Biniyam chakilu Tilahun ◽  
Araya Mesfin
Keyword(s):  
Spatial Distribution ◽  
Birth Interval ◽  
Binary Logistic Regression ◽  
Analysis Data ◽  
Community Level ◽  
Reproductive Age ◽  
African Countries ◽  
Birth Intervals ◽  
Cooperative Effort ◽  
Logistic Regression Models

Abstract Birth interval is time between two successive live births. Ethiopia is one of the populated African countries with total fertility rate of 4.6 and annual population growth rate of 2.6.Short birth intervals (<24 months) contribute to infant and child mortality risks. Currently, in Ethiopia women still have shorter birth intervals and studies addressing its determinants and maps to show the varied spatial distribution are scarce. This study examined individual and community level factors associated with duration of birth interval.Method: Data from the Ethiopian Demographic and Health Survey undertaken in 2016 was used for this analysis. Data was analyzed using STATA version 14, Arc Map GIS 10.3 and SaTScan. Multilevel Binary Logistic regression models were also used to explain regional inequalities in duration of birth intervals among women of reproductive age.Result: The median birth interval of the study population was 32 months (2.67 years). The result of this study reveals that 1935(25%) of women have intervals shorter than 24 months. Duration of birth interval was associated with index child died, women from highest economic level, women who breastfeed and women aged 45-49. Duration of birth interval had spatial variation across the country. A high proportion of shorter duration of birth interval was identified in Somalia and Affar Regions. Whereas the lower proportion of short birth interval found in Amhara, Tigray and Gambela.Conclusion: In this study both the individual and community level Factors were found to have significant influence on preceding birth interval of children. The spatial effect of duration of birth was captured by the spatial analysis. Additionally dissemination of information about recommended interval and cooperative effort to improve women’s economic independency and decision making power to increase maternal social status has to be conducted.

scholarly journals 1498Community-level risk factors for birth size of child in selected developing countries (1992-2018): multilevel analysis

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Rahul Bawankule ◽  
Abhishek Singh
Keyword(s):  
Risk Factors ◽  
Developing Countries ◽  
Significant Risk ◽  
Binary Logistic Regression ◽  
Community Level ◽  
Demographic And Health Surveys ◽  
Birth Size ◽  
Level Variation ◽  
Logistic Regression Models ◽  
Individual Level

Abstract Background We aimed to identify emerging community-level risk factors for birth size in the last two decades in developing countries, particularly in Bangladesh, India, Indonesia, and Nigeria, having the highest burden of low birth weight (LBW) births globally. Methods We used data from multiple rounds of the Demographic and Health Surveys (DHS) conducted throughout the last two decades in the selected countries. We applied multilevel binary logistic regression models and estimated the intra-correlation coefficient (ICC) and median odds ratio (MOR) with a 95% confidence interval (CI) to analyze community-level variation in the birth size of child. Results The odds of having a smaller than average size birth increased by 1.28 times (95% CI: 1.11-1.79) in Bangladesh (2014), 3.03 times (95% CI: 2.90-3.18) in India (2015-16), 1.40 times (95% CI: 1.28-1.58) in Indonesia (2017) and 2.32 times (95% CI: 2.15-2.53) in Nigeria (2018) when women moved from low-risk to high-risk communities. The children residing in communities with a higher level of female illiteracy, higher level of inadequate antenatal care visits (ANC), higher use of unimproved toilet facilities were more likely to born with smaller than average birth size during 1992-2018. Conclusions The study confirms a significant community-level variation in smaller than average birth size among all analysed countries. Community with higher levels of female illiteracy, inadequate ANC visits, use of unimproved toilet facilities emerged as significant risk factors throughout the last two decades. Key messages The community-level risk factors have an independent association with the birth size of child regardless of individual-level characteristics of women and children.

scholarly journals Spatial Distribution and Determinants of Nonautonomy on Decision Regarding Contraceptive Utilization among Married Reproductive-Age Women in Ethiopia: Spatial and Bayesian Multilevel Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Setognal Birara Aychiluhm ◽  
Kusse Urmale Mare ◽  
Mequannet Sharew Melaku ◽  
Abay Woday Tadesse
Keyword(s):  
Spatial Distribution ◽  
Rural Areas ◽  
Wealth Index ◽  
Credible Interval ◽  
Reproductive Age ◽  
Metropolitan Regions ◽  
Logistic Regression Models ◽  
Individual Level ◽  
Reproductive Age Women ◽  
Contraceptive Utilization

Background. Studies conducted to date in Ethiopia did not explore the spatial distribution, individual-level, and community-level factors affecting women’s nonautonomy on decision to use contraceptives. Hence, this study aimed to assess the spatial distribution of women’s nonautonomy on decision regarding contraceptive utilization and its determinants in Ethiopia. Methods. Data were accessed from the Demographic Health Survey program official database website (https://dhsprogram.com). A weighted sample of 3,668 married reproductive-age women currently using contraceptives was included in this analysis. Bayesian multilevel logistic regression models were fitted to identify the determinants of women’s nonautonomy on contraceptive utilization. Adjusted odds ratio with 95% credible interval was used to select variables that have a significant effect on nonautonomy on contraceptive utilization. Results. A high proportion of women with nonautonomy on decision regarding contraceptive utilization was found in northern parts of Southern Nations, Nationalities, and People’s Region, Southern parts of Oromia, and Benishangul-Gumuz regions of the country. Overall, 2876 (78.40% (95% CI: 77.0%, 79.7%)) women were nonautonomous on decision regarding contraceptive utilization. In the final model, age from 35–49 (AOR (95% CI) = 0.63 (0.54, 0.72)), living in the richer households (AOR (95% CI) = 0.12 (0.03, 0.26)), being married at 18 years or above (AOR (95% CI) = 0.33 (0.19, 0.57)), and residing in an rural areas (AOR (95% CI) = 1.34 (1.01, 1.71)) and metropolitan regions (AOR (95% CI) = 0.71(0.54, 0.91)) were associated with women’s nonautonomy on decision regarding contraceptive utilization. Conclusions. In Ethiopia, the spatial distribution of women’s nonautonomy on decision about contraceptive utilization was nonrandom. More than three-fourths of married reproductive-age women in Ethiopia are nonautonomous on decision regarding contraceptive utilization. Region, residence, current age, age at marriage, and wealth index were statistically associated with women’s nonautonomy on decision regarding contraceptive utilization.

scholarly journals The Effects of Birth Spacing on Nutritional Status in the form of Stunting of Under Five Children in Bangladesh: Evidence Based on BDHS, 2014 Data

2019 ◽  
Vol 67 (2) ◽  
pp. 139-144
Author(s):  
Mahfuzur Rahman Khokan
Keyword(s):  
Nutritional Status ◽  
Birth Interval ◽  
Inverse Association ◽  
Birth Intervals ◽  
Chi Square ◽  
Related Factors ◽  
Logistic Regression Models ◽  
Health Related ◽  
Chi Square Test ◽  
Children Under 5

In this paper, it has been examined the effect of preceding birth interval on nutritional status in the form of Stunting of the children aged under 5 years of age in Bangladesh.For the purpose of the analysis, Bangladesh Demographic and Health Survey (BDHS), 2014 data has been used. The study cases are the children under 5 years aged born during last delivery of their mother. The response variable is Nutritional Status of under 5 year children in the form of stunting. The key independent variables is the length of the preceding birth interval, measured as the number of months between the births of the child under study.Bivariate analysis along with a Chi-square test has been performed to examine the association between preceding birth interval and stunting of the children. To determine the effect of preceding birth interval, three different logistic regression models (Model-I: considering only the preceding birth intervals, Model-II: covariate of model-I along with demographic and socioeconomic factors and Model-III: covariates of model-II along with health related factors) were considered.  The occurrence of stunting has been found to be inversely related with the preceding birth interval for the children aged under 5 years in Bangladesh. This inverse association has been found statistically significant for three models.After adjusting the demographic, socio-economic and health-related factors, the OR (odds ratio) shows that the percentage of being stunted is 73% higher for the children whose preceding birth interval is less than 24 (<24) while it is 37% higher for the children whose preceding birth interval is between months compared to whose birth interval is more than 60 (60>) months with 99% confidence interval (1.27, 2.36)***and (1.07, 1.45)***respectively. Dhaka Univ. J. Sci. 67(2): 139-144, 2019 (July)

scholarly journals Birth Intervals and Associated Factors among Women Attending Young Child Clinic in Yumbe Hospital, Uganda

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
M. Aleni ◽  
S. N. Mbalinda ◽  
R. Muhindo
Keyword(s):  
Young Child ◽  
Birth Interval ◽  
Associated Factors ◽  
Male Involvement ◽  
Cross Sectional Study ◽  
Reproductive Age ◽  
Birth Intervals ◽  
Cross Sectional ◽  
Child Health Outcomes ◽  
Child Spacing

Introduction. Evidence suggests that both short and long birth intervals are associated with poor maternal and child health outcomes. However, current studies suggest that a number of births still occur at short intervals. The aim of this study was to document birth intervals and associated factors among women of reproductive age in rural Uganda. Materials and Methods. This was a cross-sectional study conducted among 296 women aged 15-49 years attending young child clinic at Yumbe Hospital who had at least two successive live births. Data was collected using interviewer-administered questionnaire. Birth interval was categorized according to the WHO-recommended birth interval of ≥24 months and <24 months. Results. Of the 296 participants, 86.6% desired a birth interval≥24 months with a desired median birth interval of 36 months. The actual median birth interval was 22 months. Slightly more than half of the women (52.4%) had short birth intervals. Factors which were likely to be associated with short birth intervals included being younger (15-24 years) (AOR=4.39, 95%CI=1.49‐12.93, P=0.007), not planning to have another pregnancy (AOR=0.33, 95%CI=0.18‐0.58, P=0.001), not deciding together with husband when to have the next child (AOR=3.10, 95%CI=1.53‐6.28, P=0.002), not always using contraceptives before the next pregnancy (AOR=0.28, 95%CI=0.12‐0.64, P=0.003), and lack of influence of husband on when to have the next child (AOR=2.59, 95%CI=1.44–4.64, P=0.001). Conclusion. Prevalence of short birth intervals is still high in rural Uganda (52.4%), although majority (86.6%) of the women desire optimal birth intervals. Factors which were likely to be associated with short birth intervals included young maternal age, not using contraceptives, and lack of male involvement in child spacing activities. Therefore, to optimize birth intervals, focused child spacing strategies targeting young women and men are needed.

scholarly journals Individual and community-level determinants, and spatial distribution of institutional delivery in Ethiopia, 2016: Spatial and multilevel analysis

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0242242
Author(s):  
Getayeneh Antehunegn Tesema ◽  
Tesfaye Hambisa Mekonnen ◽  
Achamyeleh Birhanu Teshale
Keyword(s):  
Spatial Distribution ◽  
Spatial Analysis ◽  
Birth Interval ◽  
Odds Ratio ◽  
Maternal Education ◽  
Institutional Delivery ◽  
Media Exposure ◽  
Community Level ◽  
Community Media ◽  
Wealth Status

Background Institutional delivery is an important indicator in monitoring the progress towards Sustainable Development Goal 3.1 to reduce the global maternal mortality ratio to less than 70 per 100,000 live births. Despite the international focus on reducing maternal mortality, progress has been low, particularly in Sub-Saharan Africa (SSA), with more than 295,000 mothers still dying during pregnancy and childbirth every year. Institutional delivery has been varied across and within the country. Therefore, this study aimed to investigate the individual and community level determinants, and spatial distribution of institutional delivery in Ethiopia. Methods A secondary data analysis was done based on the 2016 Ethiopian Demographic and Health Survey (EDHS) data. A total weighted sample of 11,022 women was included in this study. For spatial analysis, ArcGIS version 10.6 statistical software was used to explore the spatial distribution of institutional delivery, and SaTScan version 9.6 software was used to identify significant hotspot areas of institutional delivery. For the determinants, a multilevel binary logistic regression analysis was fitted to take to account the hierarchical nature of EDHS data. The Intra-class Correlation Coefficient (ICC), Median Odds Ratio (MOR), Proportional Change in Variance (PCV), and deviance (-2LL) were used for model comparison and for checking model fitness. Variables with p-values<0.2 in the bi-variable analysis were fitted in the multivariable multilevel model. Adjusted Odds Ratio (AOR) with a 95% Confidence Interval (CI) were used to declare significant determinant of institutional delivery. Results The spatial analysis showed that the spatial distribution of institutional delivery was significantly varied across the country [global Moran’s I = 0.04 (p<0.05)]. The SaTScan analysis identified significant hotspot areas of poor institutional delivery in Harari, south Oromia and most parts of Somali regions. In the multivariable multilevel analysis; having 2–4 births (AOR = 0.48; 95% CI: 0.34–0.68) and >4 births (AOR = 0.48; 95% CI: 0.32–0.74), preceding birth interval ≥ 48 months (AOR = 1.51; 95% CI: 1.03–2.20), being poorer (AOR = 1.59; 95% CI: 1.10–2.30) and richest wealth status (AOR = 2.44; 95% CI: 1.54–3.87), having primary education (AOR = 1.47; 95% CI: 1.16–1.87), secondary and higher education (AOR = 3.44; 95% CI: 2.19–5.42), having 1–3 ANC visits (AOR = 3.88; 95% CI: 2.77–5.43) and >4 ANC visits (AOR = 6.53; 95% CI: 4.69–9.10) were significant individual-level determinants of institutional delivery while being living in Addis Ababa city (AOR = 3.13; 95% CI: 1.77–5.55), higher community media exposure (AOR = 2.01; 95% CI: 1.44–2.79) and being living in urban area (AOR = 4.70; 95% CI: 2.70–8.01) were significant community-level determinants of institutional delivery. Conclusions Institutional delivery was low in Ethiopia. The spatial distribution of institutional delivery was significantly varied across the country. Residence, region, maternal education, wealth status, ANC visit, preceding birth interval, and community media exposure were found to be significant determinants of institutional delivery. Therefore, public health interventions should be designed in the hotspot areas where institutional delivery was low to reduce maternal and newborn mortality by enhancing maternal education, ANC visit, and community media exposure.

scholarly journals Does Birth Interval Matter in Under-Five Mortality? Evidence from Demographic and Health Surveys from Eight Countries in West Africa

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Eugene Budu ◽  
Bright Opoku Ahinkorah ◽  
Edward Kwabena Ameyaw ◽  
Abdul-Aziz Seidu ◽  
Betregiorgis Zegeye ◽  
...  
Keyword(s):  
West Africa ◽  
Birth Interval ◽  
Sub Saharan Africa ◽  
Demographic And Health Surveys ◽  
Age At First Birth ◽  
African Countries ◽  
Birth Intervals ◽  
Crude Odds Ratio ◽  
Under Five ◽  
Mother’S Age

In sub-Saharan Africa (SSA), every 1 in 12 children under five dies every year compared with 1 in 147 children in the high-income regions. Studies have shown an association between birth intervals and pregnancy outcomes such as low birth weight, preterm birth, and intrauterine growth restriction. In this study, we examined the association between birth interval and under-five mortality in eight countries in West Africa. A secondary analysis of the Demographic and Health Survey (DHS) data from eight West African countries was carried out. The sample size for this study comprised 52,877 childbearing women (15-49 years). A bivariate logistic regression analysis was carried out and the results were presented as crude odds ratio (cOR) and adjusted odds ratios (aOR) at 95% confidence interval (CI). Birth interval had a statistically significant independent association with under-five mortality, with children born to mothers who had >2 years birth interval less likely to die before their fifth birthday compared to mothers with ≤2 years birth interval [ cOR = 0.56 ; CI = 0.51 − 0.62 ], and this persisted after controlling for the covariates [ aOR = 0.55 ; CI = 0.50 − 0.61 ]. The country-specific results showed that children born to mothers who had >2 years birth interval were less likely to die before the age of five compared to mothers with ≤2 years birth interval in all the eight countries. In terms of the covariates, wealth quintile, mother’s age, mother’s age at first birth, partner’s age, employment status, current pregnancy intention, sex of child, size of child at birth, birth order, type of birth, and contraceptive use also had associations with under-five mortality. We conclude that shorter birth intervals are associated with higher under-five mortality. Other maternal and child characteristics also have associations with under-five mortality. Reproductive health interventions aimed at reducing under-five mortality should focus on lengthening birth intervals. Such interventions should be implemented, taking into consideration the characteristics of women and their children.

scholarly journals Multilevel analysis of factors associated with unmet need for family planning among Malawian women

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Owen Nkoka ◽  
Watanja M. Mphande ◽  
Peter A. M. Ntenda ◽  
Edith B. Milanzi ◽  
Victor Kanje ◽  
...  
Keyword(s):  
Family Planning ◽  
Intraclass Correlation ◽  
Unmet Need ◽  
Binary Logistic Regression ◽  
Community Level ◽  
High Fertility ◽  
Community Factors ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
The Individual

Abstract Background Malawi has a high fertility rate which is also characterized by a relatively high prevalence of unmet need for contraception. However, little is known about the influence of individual- and community- level characteristics on unmet need in Malawi. This study examined the individual- and community- level factors associated with unmet need for family planning (FP) among Malawian women. Methods Data from the 2015–16 Malawi demographic and health survey were used to analyze 15, 931 women. The association between individual- and community- level factors and unmet need was assessed using multilevel binary logistic regression models. Results The prevalence of total unmet need was 21.0%. Women aged ≥35 years were more likely to have total unmet need [adjusted odds ratio (aOR) = 1.19, 95% confidence interval (CI) = 1.04–1.35] compared with those aged 15–24 years. Women who were married [aOR = 0.41, 95% CI = 0.35–0.48], and those employed [aOR = 0.78, 95% CI = 0.71–0.85] were associated with less likelihood of having total unmet need compared with unmarried, and unemployed women, respectively. At community-level, women from communities with a high percentage of women from rich households [aOR = 0.81, 95% CI = 0.67–0.96], and those from communities with a middle and high percentage of educated women [aOR = 0.86, 95% CI = 0.76–0.96 and aOR = 0.81, 95% CI = 0.70–0.93, respectively] were less likely to have total unmet need for FP compared with those from communities with low percentages of rich and educated women, respectively. The proportional change in variance showed that about 36.0% of total variations in the odds of unmet need across the communities were explained by both individual- and community-level factors. Moreover, the intraclass correlation showed that about 3.0% of the total variation remained unexplained even after controlling for both individual- and community-level factors. Conclusion Both individual- and community- level factors influenced unmet need for FP in Malawi. Public health practitioners should conduct community profiling and consider individual and community factors when designing FP programs.

scholarly journals Spatial Distribution and Determinants of Early Marriage among Married Women in Ethiopia: A spatial and Multilevel Analysis

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Adugnaw Zeleke Alem ◽  
Yigizie Yeshaw ◽  
Sewnet Adem Kebede ◽  
Alemneh Mekuriaw Liyew ◽  
Getayeneh Antehunegn Tesema ◽  
...  
Keyword(s):  
Public Health ◽  
Spatial Distribution ◽  
Multilevel Analysis ◽  
Women's Education ◽  
Married Women ◽  
Community Level ◽  
Reproductive Age ◽  
Sub Saharan Africa ◽  
Early Marriage ◽  
Increased Risk

Abstract Background Early marriage is a global public health problem that is mainly practiced in South Asia, Latin America, and sub-Saharan Africa including Ethiopia. It raises the risk of early childbearing of women, higher rates of divorce, and an increased risk of maternal and child death. However, little is known about the spatial distribution and determinants of early marriage in Ethiopia. Therefore, this study aimed to assess the spatial distribution and determinants of early marriage among ever-married women in Ethiopia. Methods A detailed analysis of the 2016 Ethiopian Demographic and Health Survey data was conducted. A total weighted sample of 11,646 reproductive-age married women were included in the analysis. To identify significant hotspot areas of early marriage the Bernoulli model was fitted using SaTScan version 9.6 software. Additionally, to explore the spatial distributions of early marriage across the country ArcGIS version 10.1 statistical software was used. For the determinant factors, the multilevel logistic regression model was fitted. Deviance was used for model comparison and checking of model fitness. In the multivariable multilevel analysis, Adjusted Odds Ratio (AOR) with 95% CI was used to declare significant determinants of early marriage. Results The finding of this study revealed that the spatial distribution of early marriage was significantly varied across the country with Global Moran’s I = 0.719 and p value < 0.001. The primary clusters were detected in Tigray, Amhara, and Afar regions. Both individual and community-level factors were associated with early marriage. Having no formal education (AOR = 4.25, 95% CI 3.13–5.66), primary education (AOR = 3.37, 95% CI 2.80–4.92), secondary education (AOR = 1.75, 95% CI 1.32–2.33), and a decision made by parents (AOR = 1.88, 95% CI 1.68–2.09) were individual-level factors associated with higher odds of early marriage. Among the community-level factors, the region was significantly associated with early marriage. Thus, living in Afar (AOR = 1.82, 95%CI 1.37–2.42), Amhara (AOR = 1.77, 95% CI 1.38–2.77), and Gambela (AOR = 1.44, 95% CI 1.09–190) was associated with higher odds of early marriage. Whereas, living in Addis Ababa (AOR = 0.50, 95% CI 0.36–0.68) was associated with a lower chance of early marriage. Conclusion The spatial distribution of early marriage was significantly varied in Ethiopia. Women’s education, women’s autonomy, and region were found to be the significant determinants of early marriage. Therefore, public health interventions targeting those identified significant hotspot areas of early marriage are crucial to reduce the incidence of early marriage and its consequence. In addition, enhancing women's education and empowering them to make their own choices are vital for changing the customs of the community and eliminating early marriage in Ethiopia.

scholarly journals Factors associated with births protected against neonatal tetanus in Africa: Evidences from Demographic and health surveys of five African countries

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0253126
Author(s):  
Yigizie Yeshaw ◽  
Tadeg Jemere ◽  
Henok Dagne ◽  
Zewudu Andualem ◽  
Yonas Akalu ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Associated Factors ◽  
Public Health Problem ◽  
Community Level ◽  
Reproductive Age ◽  
Neonatal Tetanus ◽  
Demographic And Health Surveys ◽  
African Countries ◽  
Factors Associated ◽  
The Impact

Introduction Maternal and neonatal tetanus remains a global public health problem affecting mainly the poorest and most marginalized subpopulations. In spite of the problem, studies conducted on the associated factors of births protected against neonatal tetanus are scarce in Africa. Therefore, this study aimed to identify both individual and community-level factors associated with births protected against neonatal tetanus in the region. Methods The most recent Demographic and Health Survey datasets of five African countries (Ethiopia, Burundi, Comoros, Zimbabwe and Zambia) were used to investigate the associated factors of births protected from neonatal tetanus. STATA Version 14 statistical software was used for the analysis. The data were weighted before doing any statistical analysis and deviance was used for model comparison. Multilevel binary logistic regression was used to identify the associated factors of births protected against neonatal tetanus. Finally, the adjusted odds ratio (AOR) with its 95% confidence interval (CI) was calculated for each potential factors included in the multivariable multilevel logistic regression model. Results A total weighted sample of 30897 reproductive age women who had a birth within 5 years preceding the survey were included in the analysis. Those women with age of 20–34 (AOR = 1.32, 95%CI: 1.18–1.48) and 35–49 years (AOR = 1.26, 95% CI: 1.10–1.44), high community level of women education (AOR = 1.13, 95%CI: 1.04–1.23), being from poorer(AOR = 1.23, 95% CI: 1.14–1.33), middle (AOR = 1.31, 95%CI: 1.21–1.43), richer (AOR = 1.21, 95%CI: 1.11–1.32) and richest households (AOR = 1.59, 95%CI: 1.44–1.74), having antenatal care follow up (AOR = 9.62, 95% CI: 8.79–10.54), not perceiving distance to health facility as a big problem (AOR = 1.18, 95% CI: (1.11–1.25) had higher odds of having births protected against neonatal tetanus. Conclusion Both individual and community level factors were found to be associated with births protected against neonatal tetanus in Africa. This suggests that a variety of factors are affecting births protected against neonatal tetanus in the region. Hence, the impact of these factors should be recognized while developing strategies to reduce neonatal tetanus in the region.

scholarly journals Determinants of Short Interbirth Interval among Reproductive Age Mothers in Arba Minch District, Ethiopia

2016 ◽  
Vol 2016 ◽  
pp. 1-17 ◽  
Author(s):  
Desta Hailu ◽  
Teklemariam Gulte
Keyword(s):  
Breast Feeding ◽  
Birth Interval ◽  
Formal Education ◽  
Contraceptive Use ◽  
Wealth Index ◽  
Birth Spacing ◽  
Reproductive Age ◽  
Modern Contraceptive ◽  
Birth Intervals ◽  
Unequal Distribution

Background. One of the key strategies to reduce fertility and promote the health status of mothers and their children is adhering to optimal birth spacing. However, women still have shorter birth intervals and studies addressing their determinants were scarce. The objective of this study, therefore, was to assess determinants of birth interval among women who had at least two consecutive live births.Methods. Case control study was conducted from February to April 2014. Cases were women with short birth intervals (<3 years), whereas controls were women having history of optimal birth intervals (3 to 5 years). Bivariate and multivariable analyses were performed.Result. Having no formal education (AOR = 2.36, 95% CL: [1.23–4.52]), duration of breast feeding for less than 24 months (AOR: 66.03, 95% CI; [34.60–126]), preceding child being female (AOR: 5.73, 95% CI; [3.18–10.310]), modern contraceptive use (AOR: 2.79, 95% CI: [1.58–4.940]), and poor wealth index (AOR: 4.89, 95% CI; [1.81–13.25]) of respondents were independent predictors of short birth interval.Conclusion. In equalities in education, duration of breast feeding, sex of the preceding child, contraceptive method use, and wealth index were markers of unequal distribution of inter birth intervals. Thus, to optimize birth spacing, strategies of providing information, education and communication targeting predictor variables should be improved.

Sign in / Sign up

Export Citation Format

Share Document