scholarly journals Spatial distribution and determinants of undernutrition among reproductive age women of Ethiopia: A multilevel analysis

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0257664
Author(s):  
Ayenew Kassie Tesema ◽  
Alemneh Mekuriaw Liyew ◽  
Adugnaw Zeleke Alem ◽  
Yigizie Yeshaw ◽  
Getayeneh Antehunegn Tesema ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Wealth Index ◽  
Reproductive Age ◽  
Food Storage ◽  
Dietary Intakes ◽  
Tigray Region ◽  
Maternal Undernutrition ◽  
First Marriage ◽  
Reproductive Age Women ◽  
Age At First Marriage

Introduction Malnutrition is one of the most devastating problems in Ethiopia and is inextricably linked with poverty. Women in the reproductive age group and children are most vulnerable to malnutrition due to low dietary intakes, inequitable distribution of food within the household, improper food storage and preparation, dietary taboos, infectious diseases, and care. Therefore, this study aimed to assess the spatial distribution and determinants of undernutrition among reproductive age of Ethiopia. Methods The study was based on the 2016 Ethiopian Demographic and Health Survey. The study included a total sampled weight of 15,139 women aged 15–49 years. The ArcGIS version 10.7 and SaTScan version 9.6 statistical software were used for exploring the spatial distribution of undernutrition. A multilevel logistic regression model was fitted to determine the individual and community level factors associated with women undernutrition. Finally, the factors which were significant at 95% confidence interval were reported. Result The spatial analysis revealed that women undernutrition was significantly varied across the country. The SaTScan analysis identified a total of 144 significant hotspot areas of maternal undernutrition with three significant spatial windows. Of these, 134 clusters were primary. The primary spatial window was identified in the southeast Tigray, northwest Afar, central and north Amhara regions (LLR = 57.48, P<0.01, RR = 1.51). Age at first marriage (AOR = 1.57: CI 1.33, 1.99), middle wealth index (AOR = 3.15: CI 1.4, 6.97), rural residence (AOR = 2.82: CI 1.22, 6.52), being in Afar region, Tigray region and Harari region (AOR = 4.88: CI 1.71, 13.91), (AOR = 4.17: CI 1.57, 11.06) and (AOR = 3.01: CI 1.05, 8.68) respectively were significantly associated with women undernutrition. Conclusion In Ethiopia, undernutrition had significant spatial variations across the country. Residence, age at first marriage, wealth index and region were significantly associated with undernutrition. Therefore, public health interventions that reduce reproductive age women undernutrition and enhance women awareness towards undernutrition in hotspot areas of undernutrition is crucial.

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 Spatial distribution and determinants of iron supplementation among reproductive age women in Ethiopia: a spatial and multilevel analysis

2020 ◽  
Author(s):  
Chilot Desta Agegnehu ◽  
Getayeneh Antehunegn Tesema ◽  
Achamyeleh Birhanu Teshale ◽  
Adugnaw Zeleke Alem ◽  
Yigizie Yeshaw ◽  
...  
Keyword(s):  
Public Health ◽  
Spatial Distribution ◽  
Spatial Analysis ◽  
Iron Supplementation ◽  
Community Education ◽  
Media Exposure ◽  
Wealth Index ◽  
Household Wealth ◽  
Reproductive Age ◽  
Reproductive Age Women

Abstract Background: Anemia remains a global public health problem. Despite WHO recommended all pregnant women to have iron supplementation, nearly 50% of maternal anemia in SSA was occurred due to lack of iron supplementation during pregnancy. Maternal anemia is associated with an increased risk of maternal death, obstetric complications, preterm birth, and low birth weight. There is limited evidence on the spatial pattern and determinants of iron supplementation using spatial and multilevel analysis methods. Therefore, this study aimed to investigate the spatial pattern, and determinants of iron supplementation in Ethiopia. Methods: We used Ethiopian Demographic Health Survey in 2016 data explore the spatial distribution and associated factors of iron supplementation among women in Ethiopia. A weighted sample of 7589 women were included in the analysis. Bernoulli model was used to explore the purely spatial clusters of pregnant women using SaTScan version 9.6 and ArcGIS version10.3. Multilevel logistic regression analysis was fitted to identify significant individual and community level determinants of iron supplementation. Results: Spatial analysis revealed that there was significant spatial variation of iron supplementation among reproductive age women in Ethiopia with Global Moran’s index value of 0.3 (p <0.001). The primary cluster was in Southwest Somali and Central part of the Oromia region ((LLR=66.69, P<0.001, RR=1.35). ANC visit (AOR= 3.66, 95%CI: 3.21, 417), community education [AOR= 1.31, 95%CI, 1.07, 1.59), media exposure (AOR=1.33, 95%CI: 1.15, 1.53), distance to health facility (AOR=1.32, 95%CI: 1.16, 1.50), region and household wealth index were significantly associated with iron supplementation among women in Ethiopia. Conclusion: The spatial distribution of iron supplementation among reproductive age women were significantly varied across the country with significant hotspot areas located in the Southwest Somali and Central Oromia regions. Besides, ANC visit, region, household wealth index, media exposure, distance to the health facility, and community education were significant determinants of iron supplementation among reproductive age women. Therefore, the finding of this study could help to design effective public health interventions targeting areas low iron supplementation and maternal health services should be delivered in all areas of our country. Keywords : Iron supplementation, spatial analysis, women, Ethiopia

scholarly journals Factors influencing desired number of children among Ethiopian women: Application of count regression models.

2019 ◽  
Author(s):  
Habitu Liyew Molla ◽  
Essey Kebede Muluneh
Keyword(s):  
Family Size ◽  
Women's Education ◽  
Regression Models ◽  
Wealth Index ◽  
Reproductive Age ◽  
Number Of Children ◽  
First Marriage ◽  
Factors Influencing ◽  
Age At First Marriage ◽  
Desired Family Size

Abstract Background: Desired family size, the number of children wanted in one’s lifetime, is one of the major factors influencing the population dynamics. Knowledge of factors influencing the desired family size is crucial in regulating the population growth. This study assesses the desired family size and its determinants among Ethiopian women. Methods: The study was based on the 2016 Ethiopian Demographic and Health Survey (EDHS) data. A total of 13,941 women with complete information were considered in the study. Count regression models, a family of generalized linear models, were used to identify determinant factors for the desired number of children among women in Ethiopia. Results: Results showed that the average number of children per women was 4.5. The highest average was recorded in Somali region (10.58) and the lowest in Addis Ababa city administration (3.56). The random intercept negative binomial regression model was found to be the most appropriate model for the data. Women’s age, household head, contraception using, wealth index, women’s education, religion, marital status, husband’s work, family size and age at first marriage were significantly associated with the desired number of children by women at reproductive age. The study also showed that there was significant regional variation in desired number of children among Ethiopian women. Conclusions: Variables such as women’s age and family size were positively associated with the desired number of children by women at reproductive age while age at first marriage, contraception using, wealth index and women’s education were negatively associated with the desired number of children by women. Women who attained higher level of education preferred small family size compared to women with no formal education. Desire for children was high among mothers from rural areas, women in the poorest economic level and woman having no work. Keywords: Desired number of children, statistical weight, EDHS, Count regression models, multilevel analysis.

scholarly journals Spatial distribution and determinants of intimate partner violence among reproductive-age women in Ethiopia: Spatial and Multilevel analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Dessie Abebaw Angaw ◽  
Alemakef Wagnew Melesse ◽  
Bisrat Misganaw Geremew ◽  
Getayeneh Antehunegn Tesema
Keyword(s):  
Public Health ◽  
Intimate Partner Violence ◽  
Spatial Distribution ◽  
Multilevel Analysis ◽  
Partner Violence ◽  
Intimate Partner ◽  
Reproductive Age ◽  
P Value ◽  
Public Health Programs ◽  
Reproductive Age Women

Abstract Background Intimate partner violence is a serious global public health problem particularly in low-and middle-income countries such as Ethiopia where women's empowerment is limited. Despite the high prevalence of intimate partner violence in Ethiopia, there is limited evidence on the spatial distribution and determinants of intimate partner violence among reproductive-age women. Exploring the spatial distribution of intimate partner violence is crucial to identify hotspot areas of intimate partner violence to design targeted health care interventions. Therefore, this study aimed to investigate the spatial distribution and determinants of intimate partner violence among reproductive-age women 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 6090 reproductive-age women were included in the study. The spatial scan statistical analysis was done to identify the significant hotspot areas of intimate partner violence. A multilevel binary logistic regression analysis was fitted to identify significant determinants of intimate partner violence. Deviance, Intra-cluster Correlation Coefficient (ICC), Median Odds Ratio, and Proportional Change in Variance (PCV) were used for model comparison as well as for checking model fitness. Variables with a p-value less than 0.2 were considered in the multivariable analysis. In the multivariable multilevel analysis, the Adjusted Odds Ratio (AOR) with 95% Confidence Interval (CI) were reported to declare statistical significance and strength of association between intimate partner violence and independent variables. Results The spatial analysis revealed that the spatial distribution of intimate partner violence was significantly varied across the country (Moran’s I = 0.1007, p-value < 0.0001). The SaTScan analysis identified a total of 192 significant clusters, of these 181 were primary clusters located in the Benishangul-Gumuz, Gambella, northwest Amhara, and west Oromia regions. In the multivariable multilevel analysis; women aged 45–49 years (AOR = 2.79, 95% CI 1.52–5.10), women attained secondary education (AOR = 0.61, 95% CI 0.38–0.98), women in the richest household (AOR = 0.58, 95% CI 0.35–0.97), > 10 family size (AOR = 3.85, 95% CI 1.41–10.54), and high community women empowerment (AOR = 0.66, 95% CI 0.49–0.8)) were significantly associated with intimate partner violence. Conclusions Intimate partner violence among reproductive-age women had significant spatial variation across the country. Women's age, education status, family size, community women empowerment, and wealth status were found significant determinants of intimate partner violence. Therefore, public health programs should design targeted interventions in identified hot spot areas to reduce the incidence of intimate partner violence. Besides, health programmers should scale up public health programs designed to enhance women's autonomy to reduce the incidence of intimate partner violence and its consequences.

MULTILEVEL LINEAR REGRESSION ANALYSIS OF FACTORS INFLUENCING BODY MASS INDEX AMONG BANGLADESHI MARRIED NON-PREGNANT WOMEN

2016 ◽  
Vol 49 (4) ◽  
pp. 498-508 ◽  
Author(s):  
Md Kamruzzaman ◽  
A. S. M. A. Mamun ◽  
Sheikh Muhammad Abu Bakar ◽  
Aik Saw ◽  
T. Kamarul ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Reproductive Age ◽  
Cluster Effect ◽  
Women Of Reproductive Age ◽  
First Marriage ◽  
Factors Influencing ◽  
Age At First Marriage

SummaryThe aim of this study was to investigate the socioeconomic and demographic factors influencing the body mass index (BMI) of non-pregnant married Bangladeshi women of reproductive age. Secondary (Hierarchy) data from the 2011 Bangladesh Demographic and Health Survey, collected using two-stage stratified cluster sampling, were used. Two-level linear regression analysis was performed to remove the cluster effect of the variables. The mean BMI of married non-pregnant Bangladeshi women was 21.60±3.86 kg/m2, and the prevalence of underweight, overweight and obesity was 22.8%, 14.9% and 3.2%, respectively. After removing the cluster effect, age and age at first marriage were found to be positively (p<0.01) related with BMI. Number of children was negatively related with women’s BMI. Lower BMI was especially found among women from rural areas and poor families, with an uneducated husband, with no television at home and who were currently breast-feeding. Age, total children ever born, age at first marriage, type of residence, education level, level of husband’s education, wealth index, having a television at home and practising breast-feeding were found to be important predictors for the BMI of married Bangladeshi non-pregnant women of reproductive age. This information could be used to identify sections of the Bangladeshi population that require special attention, and to develop more effective strategies to resolve the problem of malnutrition.

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.

scholarly journals Does the Frequency of Watching Television Matters on Overweight and Obesity among Reproductive Age Women in Ethiopia?

2020 ◽  
Vol 2020 ◽  
pp. 1-7 ◽  
Author(s):  
Mohammed Ahmed ◽  
Abdu Seid ◽  
Adnan Kemal
Keyword(s):  
Higher Education ◽  
Multivariate Logistic Regression Analysis ◽  
Sampling Technique ◽  
Wealth Index ◽  
Developed Countries ◽  
Overweight And Obesity ◽  
Reproductive Age ◽  
Cluster Sampling ◽  
Cross Sectional ◽  
Reproductive Age Women

Background. Studies in developed countries have revealed an association of different magnitudes between watching television and the risk of being overweight and obese among reproductive age women. Even so, there is no evidence of such an association in the context of the Ethiopian population. Hence, the study aimed to assess the association between watching television with overweight and obesity in a nationally representative sample of Ethiopian women. Methods. A cross-sectional study was conducted by using secondary data analysis from 2016 Ethiopia demographic and health survey among women aged from 15 to 49 years. The samples were selected using a two-stage stratified cluster sampling technique. A total of 10,074 women were included in the analysis. The outcome variables were both overweight and obesity, whereas the main exposure variable was the frequency of watching television. Multivariate logistic regression analysis was performed for adjusting potential confounders. Adjusted odds ratio (AOR) with 95% confidence intervals was used to declare a statistically significant association. Results. The study found that watching television at least once a week was significantly associated with both overweight (AOR: 1.79; 95% CI: 1.20–2.73) and obesity (AOR: 3.76; 95% CI: 2.04–6.95). The study also divulged that the odds of overweight were higher among women aged 25–39 years (AOR: 2.17; 95% CI: 1.25–3.77) and 40–49 years (AOR: 2.69; 95% CI: 1.45–5.00), urban residents (AOR: 1.76; 95% CI:1.17–2.65), attended higher education (AOR:2.11; 95% CI: 1.22–3.65), and richest in the wealth index (AOR: 2.83; 95% CI:1.71–4.68). Similarly, the odds of obesity were higher among women aged 25–39 years and 40–49 years, attended higher education, and the richest in wealth index. Conclusions. The results from this study demonstrated that watching television at least once a week is associated with obesity among reproductive age women in Ethiopia. Therefore, a social behavioral change communication campaign needs to be taken to improve awareness regarding the harmful consequences of watching television for long hours. Further research studies should be conducted among men and adolescents to determine whether this positive association exists among that target population as well.

scholarly journals Uterine prolapse and associated factors among reproductive age women in Dawro zone, southwest Ethiopia: a community based cross sectional study

2020 ◽  
Author(s):  
Abebe Sorsa Badacho ◽  
Mengistu Auro Lelu ◽  
Zegeye Gelan
Keyword(s):  
Logistic Regression ◽  
Uterine Prolapse ◽  
Cross Sectional Study ◽  
Reproductive Age ◽  
Women Of Reproductive Age ◽  
Cross Sectional ◽  
First Marriage ◽  
Age At First Marriage ◽  
Assisted Delivery ◽  
History Of

Abstract Background: Uterine Prolapse is an important but one of the most neglected public health problems causing maternal morbidity and mortality among women of reproductive age in developing countries including Ethiopia. However, yet few data are available with respect to uterine prolapse. The objective of this study was to assess the prevalence of, and factors associated with uterine prolapse among women of reproductive age.Methods: A community based cross-sectional study was conducted in Loma Woreda, Dawro southwest Ethiopia, from November to December 2019. A total of 422 randomly selected women of reproductive age were participated in the study. Data were collected by face-to-face interview with pre-structured questionnaire and clinical diagnoses were carried out. Epi data 3.2.1 and SPSS version 24 were used for data entry, processing and analysis. Binary Logistic regression was used to find out the association between dependent and independent variables. Variables with P-value less than 0.25 in bivariate logistic regression were further examined using multivariate logistic regression to investigate an association between dependent variable and independent variables. Results: The mean age of the respondents was 35.4 years (±7.994 SD). This study identified that the prevalence of symptomatic and anatomical uterine prolapse was 6.6 %(28) and 5.9%(25) respectively. The prevalence of anatomical prolapse was used as a reference when determining the associated factors. Age at first marriage (AOR: 0.25, 95%CI (0.07, 0.89), place of delivery (AOR: 3.33, 95%CI (1.21, 9.13), birth attendant assisted delivery (AOR 0.21; 95%CI (0.06, 0.71) and history of abortion (AOR: 2.94, 95%CI (1.08, 7.97) were found to have significantly and independently associated with prevalence of uterine prolapse. Conclusion: Uterine prolapse is common among women of reproductive age group age at first marriage, place of delivery, birth attendant assisted delivery, and history of abortion were found to be independent predictors of prevalence of uterine prolapse.

Socio-demographic changes in age at first marriage in Malawi: evidence from Malawi Demographic and Health Survey data, 1992–2016

2019 ◽  
Vol 52 (6) ◽  
pp. 832-845
Author(s):  
Ololade Julius Baruwa ◽  
Acheampong Yaw Amoateng ◽  
Elizabeth Biney
Keyword(s):  
Survey Data ◽  
Health Survey ◽  
Wealth Index ◽  
Northern Region ◽  
Demographic And Health Survey ◽  
Early Marriage ◽  
Younger Women ◽  
First Marriage ◽  
Age At First Marriage ◽  
Health Survey Data

AbstractThis study aimed to identify the social and demographic correlates of the trend in age at first marriage among women in Malawi, using Malawi Demographic and Health Survey data collected between 1992 and 2016. Employing Cox Proportional Hazard modelling, the results showed that the mean age at first marriage during the 18-year period remained constant at 17.4 years. Furthermore, across all the surveys, younger women married at an early age compared with their older counterparts. The results further showed that having no education, residing in the Northern region, working, belonging to the middle and rich wealth index categories, and belonging to Tumbuka, Lomwe, Yao, Ngoni and Amanganja/Anyanja ethnicities increased the risk of early marriage. The findings suggest that policies such as promoting access to education for women and enforcing the law that restricts the legal age at which a woman can marry (18 years) should be maintained and enforced in Malawi.

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