Spatial heterogeneity and factors influencing stunting and severe stunting among under-5 children in Ethiopia: spatial and multilevel analysis
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ABSTRACT:
SUBMITTER: Hailu B
PROVIDER: S-EPMC7532151 | biostudies-literature | 2020 Jan
REPOSITORIES: biostudies-literature
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Project description:BackgroundUnderstanding the spatial distribution of stunting and underlying factors operating at meso-scale is of paramount importance for intervention designing and implementations. Yet, little is known about the spatial distribution of stunting and some discrepancies are documented on the relative importance of reported risk factors. Therefore, the present study aims at exploring the spatial distribution of stunting at meso- (district) scale, and evaluates the effect of spatial dependency on the identification of risk factors and their relative contribution to the occurrence of stunting and severe stunting in a rural area of Ethiopia.MethodsA community based cross sectional study was conducted to measure the occurrence of stunting and severe stunting among children aged 0-59 months. Additionally, we collected relevant information on anthropometric measures, dietary habits, parent and child-related demographic and socio-economic status. Latitude and longitude of surveyed households were also recorded. Local Anselin Moran's I was calculated to investigate the spatial variation of stunting prevalence and identify potential local pockets (hotspots) of high prevalence. Finally, we employed a Bayesian geo-statistical model, which accounted for spatial dependency structure in the data, to identify potential risk factors for stunting in the study area.ResultsOverall, the prevalence of stunting and severe stunting in the district was 43.7% [95%CI: 40.9, 46.4] and 21.3% [95%CI: 19.5, 23.3] respectively. We identified statistically significant clusters of high prevalence of stunting (hotspots) in the eastern part of the district and clusters of low prevalence (cold spots) in the western. We found out that the inclusion of spatial structure of the data into the Bayesian model has shown to improve the fit for stunting model. The Bayesian geo-statistical model indicated that the risk of stunting increased as the child's age increased (OR 4.74; 95% Bayesian credible interval [BCI]:3.35-6.58) and among boys (OR 1.28; 95%BCI; 1.12-1.45). However, maternal education and household food security were found to be protective against stunting and severe stunting.ConclusionStunting prevalence may vary across space at different scale. For this, it's important that nutrition studies and, more importantly, control interventions take into account this spatial heterogeneity in the distribution of nutritional deficits and their underlying associated factors. The findings of this study also indicated that interventions integrating household food insecurity in nutrition programs in the district might help to avert the burden of stunting.
| S-EPMC5295674 | biostudies-literature
Project description:BackgroundStunting is one of the most important public health problems in Ethiopia. It remains a problem of greater magnitude particularly in rural and low-income areas. It reflects chronic nutritional deficiencies and illness that occur during the most critical periods for growth and development in early life. It needs proper intervention to save the future, unless it resulted in diminished cognitive and physical development for the rest of their lives. Therefore, this study aimed to assess the prevalence of stunting and associated factors among under-five children in West Guji Zone, Oromia, Ethiopia.MethodA community-based cross-sectional study was conducted among 767 under-five children who were included in this study by using a multistage sampling technique in 12 kebeles from 3 selected districts. Data were collected from a mother/caregiver of the child by using a structured pretested questionnaire. Standardized anthropometric measurements were used to measure length, weight, and height of a child. Data were entered into Epi Info software version 3.5.1 and exported to SPSS version 23 for analysis for descriptive and logistic regression models.ResultThe prevalence of stunting was 244 (31.8%) with 95% CI (28.6-35.2) among under-five-age children. The under-five children whose fathers had a polygamous marriage (AOR = 4.92, 95% CI: 3.46, 7.00), being female sex (AOR = 1.74, 95% CI: 1.23, 2.47), having below 4 meal frequencies (AOR = 2.95, 95% CI: 1.56, 5.58), not vaccinated (AOR = 1.75, 95% CI: 1.15, 2.67), and from poor households' wealth status (AOR = 3.03, 95% CI: 1.63, 5.63) and also from severely food insecure household (AOR = 2.92, 95% CI: 1.36, 6.24) were short for their age compared with their counterparts.ConclusionNearly one-third of the under-five children were stunted in the study area which needs intervention on child-feeding practice to avoid sex discrimination in the community. In addition to this health officials in collaboration with other sectors, it is needed to act together to improve enforcement of the law for polygamous marriage, the household's wealth status, and food security for the better health of a child and future.
| S-EPMC7878078 | biostudies-literature
Project description:ObjectiveThe objective of the study was to assess the prevalence of stunting and associated factors among under-five children of Wukro town, Tigray, Ethiopia, 2017-2018.ResultTotally 394 under-five children were participated in this study with a response rate of 98.5%. A total of 222 (56.3%) of respondents were females and 106 (26.95%) were in the age group of 12-23 month. One hundred ninety-eight (50.3%) of the participants were between 2 and 3 in birth order and 194 (49.2%) had 4 to 5 house hold size. The overall prevalence of stunting was 194 (49.2%). Being female and presence of washing facilities nearby latrine were significantly associated with stunting. Under-five female children were 35.4% lower odds of stunting compared to male children (p?=?.041, OR?=?.644, and 95% CI (.422, .983)).
| S-EPMC6693130 | biostudies-literature
Project description:ObjectiveAlthough the rate of stillbirth has decreased globally, it remains unacceptably high in developing countries. Today, only 10 countries share the burden of more than 65% of the global rate of stillbirth and these include Ethiopia. Ethiopia ranks seventh in terms of high rate of stillbirths. Exploring the spatial distribution of stillbirth is critical to developing successful interventions and monitoring public health programmes. However, there is no study on the spatial distribution and the associated factors of stillbirth in Ethiopia. Therefore, this study aimed to explore the spatial distribution and the associated factors of stillbirth.MethodsSecondary data analysis was conducted based on the 2016 Ethiopian Demographic and Health Survey data. A total weighted sample of 11 375 women were included in the analysis. The Bernoulli model was fitted using SaTScan V.9.6 to identify hotspot areas and ArcGIS V.10.6 to explore the spatial distribution of stillbirth. For associated factors, a multilevel binary logistic regression model was fitted using STATA V.14 software. Variables with a p value of less than 0.2 were considered for the multivariable multilevel analysis. In the multivariable multilevel analysis, adjusted OR (AOR) with 95% CI was reported to reveal significantly associated factors of stillbirth.ResultsThe spatial analysis showed that stillbirth has significant spatial variation across the country. The SaTScan analysis identified significant primary clusters of stillbirth in the Northeast Somali region (log likelihood ratio (LLR)=13.4, p<0.001) and secondary clusters in the border area of Oromia and Amhara regions (LLR=8.8, p<0.05). In the multilevel analysis, rural residence (AOR=4.83, 95% CI 1.44 to 16.19), primary education (AOR=0.39, 95% CI 0.20 to 0.74), no antenatal care (ANC) visit (AOR=2.77, 95% CI 1.70 to 4.51), caesarean delivery (AOR=5.07, 95% CI 1.65 to 15.58), birth interval <24 months (AOR=1.95, 95% CI 1.20 to 3.10) and height <150 cm (AOR=2.73, 95% CI 1.45 to 4.97) were significantly associated with stillbirth.Conclusion and recommendationIn Ethiopia, stillbirth had significant spatial variations across the country. Residence, maternal stature, preceding birth interval, caesarean delivery, education and ANC visit were significantly associated with stillbirth. Therefore, public health interventions that enhance maternal healthcare service utilisation and maternal education in hotspot areas of stillbirth are crucial to reducing stillbirth in Ethiopia.
| S-EPMC7594361 | biostudies-literature
Project description:BackgroundDouble burden of malnutrition is a global problem posing a serious public health challenge especially in low- and middle-income countries including Ethiopia, where a high prevalence of under-nutrition continues to exist and overweight is increasing at an alarming rate. Although both under-nutrition and over-nutrition are investigated extensively in Ethiopia, evidence about the double burden of malnutrition especially at the individual level is very limited.ObjectiveTo assess the prevalence of the co-existence of overweight/obesity and stunting and associated factors among under-five children in Addis Ababa, Ethiopia at an individual level.MethodsInstitution-based cross-sectional study was conducted from May to June 2021 among 422 mothers to child pairs in Addis Ababa. Twenty-nine (30%) of the health centers in Addis Ababa were selected to take part in the study using a simple random sampling technique. The total sample size was allocated proportionally to each of the selected health centers based on their performances within 6 months prior to the study. A systematic random sampling method was used to select the study participants. An interviewer-administered structured questionnaire was used to collect data. Descriptive statistics and a hierarchical logistic regression model were used to characterize the study population and to identify factors that are associated with the outcome variable respectively. Odds ratio along with 95% CI were estimated to measure the strength of the association. The level of statistical significance was declared at a p-value less than 0.05.ResultsThe prevalence of the co-existence of overweight/obesity and stunting was 5.1% with 95% CI (2.9-7.1%). The hierarchical logistic regression analysis revealed that child age (6-23 months) [(AOR = 2.86, 95% CI: (1.02-8.04)], maternal education status (non-educated) [(AOR = 4.98, 95% CI: (1.33-18.66)], maternal age during birth (≥ 28 years) [(AOR = 0.22, 95% CI: (0.06-0.79)] and childbirth order (3+) [(AOR = 6.38, 95% CI: (1.03-39.7)] were significantly associated with the co-existence of overweight /obesity and stunting.Conclusion and recommendationsThe study revealed that the prevalence of the co-existence of overweight/obesity and stunting is low in Ethiopia. However, local and national nutrition policies and programs should be tailored and implemented to simultaneously address both under-nutrition and over-nutrition.
| S-EPMC9241306 | biostudies-literature
Project description:ObjectiveTo assess spatial variations in modern contraceptive use and to identify factors associated with it among married women in Ethiopia.DesignCross-sectional analysis of population-based and health facility data.SettingEthiopia Demographic and Health Survey data linked to Service Provision Assessment data.Population8473 married women and 1020 facilities that reported providing family planning services.MethodsA linked secondary data analysis of population and health facility data was carried out. Both multilevel and spatial analyses were conducted to identify key determinants of women's use of modern contraceptive and spatial clustering of modern contraceptive use.Main outcome measureModern contraceptive use.ResultsAbout 24% of the variation in the use of modern contraception was accounted for by location. A one-unit increase in the mean score of health facilities' readiness to provide short-term modern contraceptives in a typical region was associated with a 20-fold increase in the odds of modern contraceptive use (adjusted OR (AOR) 20.49, 95% CI 1.44 to 29.54). In the spatial analysis, it was found that Addis Ababa and the Amhara region had high clusters of modern contraceptive use rates. On the other hand, low rates of contraceptive use were clustered in the Afar and Somali regions.ConclusionThere were significant variations in the use of modern contraceptives across the different regions of Ethiopia. Therefore, regions with low contraceptive rates and high fertility rates should be targeted for scaling up and tailoring of services to the culture and lifestyles of the population of those regions.
| S-EPMC7552846 | biostudies-literature
Project description:BackgroundStunting is still a major public health problem in low- and middle-income countries, including Indonesia. Previous studies have reported the complexities associated with understanding the determinants of stunting. This study aimed to examine the household-, subdistrict- and province-level determinants of stunting in Indonesia using a multilevel hierarchical mixed effects model.MethodsWe analyzed data for 8045 children taken from the 2007 and 2014 waves of the Indonesian Family and Life Surveys (IFLS). We included individual-, family-/household- and community-level variables in the analyses. A multilevel mixed effects model was employed to take into account the hierarchical structure of the data. Moreover, the model captured the effect of unobserved household-, subdistrict- and province-level characteristics on the probability of children being stunted.ResultsOur findings showed that the odds of childhood stunting vary significantly not only by individual child- and household-level characteristics but also by province- and subdistrict-level characteristics. Among the child-level covariates included in our model, dietary habits, neonatal weight, a history of infection, and sex significantly affected the risk of stunting. Household wealth status and parental education are significant household-level covariates associated with a higher risk of stunting. Finally, the risk of stunting is higher for children living in communities without access to water, sanitation and hygiene.ConclusionsStunting is associated with not only child-level characteristics but also family- and community-level characteristics. Hence, interventions to reduce stunting should also take into account family and community characteristics to achieve effective outcomes.
| S-EPMC8604318 | biostudies-literature
Project description:BackgroundEthiopia is a Sub-Saharan country with very high neonatal mortality rates, varying across its regions. The rate of neonatal mortality reduction in Ethiopia is slow, and Ethiopia may not meet the third United Nations sustainable development target by 2030. This study aimed to investigate the spatial variations and contributing factors for neonatal mortality rates in Ethiopia.MethodsWe analysed data from the 2016 Ethiopian Demographic and Health Survey (EDHS), which used a two-stage cluster sampling technique with a census enumeration area as primary and households as secondary sampling units. A Bayesian spatial logistic regression model using the Stochastic Partial Differential Equation (SPDE) method was fitted accounting for socio-economic, health service-related and geographic factors.ResultsHigher neonatal mortality rates were observed in eastern, northeastern and southeastern Ethiopia, and the Somali region had higher risks of neonatal mortality. Neonates from frequently drought-affected areas had a higher mortality risk than less drought-affected areas. Application of traditional substances on the cord increased the risk of neonatal mortality (Adjusted Odds Ratio (AOR) = 2.07, 95% Credible Interval (CrI): 1.12 to 4.30) and getting health facility delivery services had a lower odds of neonatal mortality (AOR = 0.60, 95% CrI: 0.37, 0.98).ConclusionsResiding in drought-affected areas, applying traditional substances on the umbilical cord and not delivering at health facilities were associated with a higher risk of neonatal mortality. Policy-makers and resource administrators at different administrative levels could leverage the findings to prioritise and target areas identified with higher neonatal mortality rates.
| S-EPMC9249191 | biostudies-literature
Project description:ObjectiveThe aim of this study was to assess the spatial distribution and determinant factors of anaemia among reproductive age women in Ethiopia.MethodsAn in-depth analysis of the 2016 Ethiopian Demographic and Health Survey data was undertaken. Getis-Ord Gi* statistics were used to identify the hot and cold spot areas for anaemia among women of reproductive age. A multilevel logistic regression model was used to identify independent predictors of anaemia among women of reproductive age.ResultsOlder age (adjusted OR [AOR]=0.75; 95% CI 0.64 to 0.96), no education (AOR=1.37; 95% CI 1.102 to 1.72), lowest wealth quantile (AOR=1.29; 95% CI 1.014 to 1.60), currently pregnant (AOR=1.28; 95%?CI 1.10 to 1.51, currently breast feeding (AOR=1.09; 95%?CI 1.025 to 1.28), high gravidity (AOR=1.39; 95%?CI 1.13 to 1.69) and HIV positive (AOR=2.11; 95%?CI 1.59 to 2.79) are individual factors associated with the occurrence of anaemia. Likewise, living in a rural area (AOR=1.29; 95%?CI 1.02 to 1.63) and availability of unimproved latrine facilities (AOR=1.18; 95% CI 1.01 to 1.39) are community-level factors associated with higher odds of anaemia. The spatial analysis indicated that statistically high hotspots of anaemia were observed in the eastern (Somali, Dire Dawa and Harari regions) and north-eastern (Afar) parts of the country.ConclusionThe prevalence rate of anaemia among women of reproductive age varied across the country. Significant hotspots/high prevalence of anaemia was observed in the eastern and north-eastern parts of Ethiopia. Anaemia prevention strategies need to be targeted on rural residents, women with limited to no education, women who are breast feeding, areas with poor latrine facilities and women who are HIV positive.
| S-EPMC6500301 | biostudies-literature
Project description:BackgroundOptimal breastfeeding is critical for healthy growth of the child. Globally, 820,000 children and 20,000 women lost due to in appropriate breastfeeding each year. In Ethiopia, 50,000 children lost related to malnutrition with 18% were due to poor breastfeeding habit. Little is known on the determinants of breastfeeding with hierarchical level. Therefore, this study aimed to identify factors influencing optimal breastfeeding among children under six month in Ethiopia using a multilevel analysis.MethodsThe data of this study were obtained from Ethiopian Demographic and health survey conducted from January to June 2016. A total 1,087 children aged 0-5 months were selected using two stage stratified sampling technique. Multilevel logistic regression analysis was done to identify significant explanatory variables. Akaike information criteria were used to select the best model fit. Fixed effect was done to estimate the association between the outcome and explanatory variable and also random effect to measure the variation explained by the higher level.ResultAmong the total of 1,087 children, 45.4% were optimally breastfeed. Children from the richest wealth index (AOR = 2.87; 95% CI: 1.53-5.43) was positively associated with optimal breastfeeding but, children aged 4-5 months (AOR = 0.19; 95%CI: 0.12-0.27), children born through cesarean section (AOR = 0.18; 955 CI: 0.07-0.51) and residing in Afar region (AOR = 0.13; 95%CI: 0.02-0.92) were found inversely associated with optimal breastfeeding. The random-effects showed that the variation between communities was statistically significant.ConclusionIndividual and community level factors play a significant role in shaping optimal breastfeeding. Future strategies and health interventions should be strengthen to target individual and community level factors that enhance optimal breastfeeding.
| S-EPMC8084135 | biostudies-literature