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Sahiledengle B, Mwanri L. Determinants of aggregate anthropometric failure among children under-five years in Ethiopia: Application of multilevel mixed-effects negative binomial regression modeling. PLOS GLOBAL PUBLIC HEALTH 2024; 4:e0003305. [PMID: 38833430 PMCID: PMC11149882 DOI: 10.1371/journal.pgph.0003305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Accepted: 05/06/2024] [Indexed: 06/06/2024]
Abstract
Undernutrition significantly contributes to failure to thrive in children under five, with those experiencing multiple forms of malnutrition facing the highest risks of morbidity and mortality. Conventional markers such as stunting, wasting, and underweight have received much attention but are insufficient to identify multiple types of malnutrition, prompting the development of the Composite Index of Anthropometric Failure (CIAF) and the Composite Index of Severe Anthropometric Failure (CISAF) as an aggregate indicators. This study aimed to identify factors associated with CIAF and CISAF among Ethiopian children aged 0-59 months using data from the 2019 Ethiopia Mini Demographic and Health Survey. The study included a weighted sample of 5,259 children and used multilevel mixed-effects negative binomial regression modeling to identify determinants of CIAF and CISAF. The result showed higher incidence-rate ratio (IRR) of CIAF in male children (adjusted IRR = 1.27; 95% CI = 1.13-1.42), children aged 12-24 months (aIRR = 2.01, 95%CI: 1.63-2.48), and 24-59 months (aIRR = 2.36, 95%CI: 1.91-2.92), those from households with multiple under-five children (aIRR = 1.16, 95%CI: 1.01-1.33), poorer households (aIRR = 1.48; 95%CI: 1.02-2.15), and those who lived in houses with an earthen floor (aIRR = 1.37, 95%CI: 1.03-1.82). Similarly, the factors positively associated with CISAF among children aged 0-59 months were male children (aIRR = 1.47, 95% CI = 1.21-1.79), age group 6-11 months (aIRR = 2.30, 95%CI: 1.40-3.78), age group 12-24 months (aIRR = 3.76, 95%CI: 2.40-5.88), age group 25-59 months (aIRR = 4.23, 95%CI: 2.79-6.39), children from households living with two and more under-five children (aIRR = 1.27, 95%CI:1.01-1.59), and children from poorer households (aIRR = 1.93, 95% CI = 1.02-3.67). Children were more likely to suffer from multiple anthropometric failures if they were: aged 6-23 months, aged 24-59 months, male sex, living in households with multiple under-five children, and living in households with poor environments. These findings underscore the need to employ a wide range of strategies to effectively intervene in multiple anthropometric failures in under-five children.
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Affiliation(s)
- Biniyam Sahiledengle
- Department of Public Health, Madda Walabu University Goba Referral Hospital, Bale-Goba, Ethiopia
| | - Lillian Mwanri
- Research Centre for Public Health, Equity and Human Flourishing, Torrens University Australia, Adelaide Campus, SA 5000, Adelaide, Australia
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Ayres A, Dawed YA, Wedajo S, Alene TD, Gedefie A, Getahun FB, Muche A. Anthropometric failures and its predictors among under five children in Ethiopia: multilevel logistic regression model using 2019 Ethiopian demographic and health survey data. BMC Public Health 2024; 24:1149. [PMID: 38658941 PMCID: PMC11044359 DOI: 10.1186/s12889-024-18625-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Accepted: 04/16/2024] [Indexed: 04/26/2024] Open
Abstract
BACKGROUND Composite Index of Anthropometric Failure (CIAF) combines all three forms of anthropometric failures to assess undernutrition status of children. There is no study on CIAF to identify the real and severe form of under nutrition among Ethiopian children that addressed community level factors. So, this study determined CIAF and identified important factors which helps to design appropriate intervention strategies by using multi-level advanced statistical model. METHODS The study included 5,530 under five children and utilized a secondary data (EMDHS 2019) which was collected through community-based and cross-sectionally from March 21 to June 28, 2019. Composite index of anthropometric failure among under five children was assessed and a two-stage sampling technique was used to select the study participants. Descriptive summary statistics was computed. A multi-level binary logistic regression model was employed to identify important predictors of CIAF in under five children. Adjusted odds ratio with its 95% CI was estimated and level of significance 0.05 was used to determine significant predictors of CIAF. RESULTS The prevalence of composite index of anthropometric failure (CIAF) was 40.69% (95% CI: 39.41, 42.00) in Ethiopia. Both individual and community level predictors were identified for CIAF in under five children. Among individual level predictors being male sex, older age, short birth interval, from mothers who have not formal education, and from poor household wealth quintile were associated with higher odds of CIAF among under five children. Low community women literacy and being from agriculturally based regions were the community level predictors that were associated with higher odds of CIAF in under five children in Ethiopia. CONCLUSIONS The burden of composite index of anthropometric failure in under five children was high in Ethiopia. Age of child, sex of child, preceding birth interval, mother's education, household wealth index, community women literacy and administrative regions of Ethiopia were identified as significant predictors of CIAF. Therefore, emphasis should be given for those factors to decrease the prevalence of CIAF in under five children in Ethiopia.
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Affiliation(s)
- Aznamariam Ayres
- Department of Epidemiology and Biostatistics, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
| | - Yeshimebet Ali Dawed
- Department of Nutrition, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
| | - Shambel Wedajo
- School of Public Health, CMHS, Wollo University, Dessie, Ethiopia
| | - Tilahun Dessie Alene
- Department of Paediatrics, School of Medicine, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
| | - Alemu Gedefie
- Department of Medical Laboratory Sciences, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
| | - Fekadeselassie Belege Getahun
- Department of Paediatrics Neonatal & Child Health, School of Nursing and Midwifery, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
| | - Amare Muche
- Department of Epidemiology and Biostatistics, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
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Gebretsadik MT, Sisay AL, Tamiru D, Belachew T. Anthropometric failure and associated factors among children aged 6-23 months in Ethiopia. Food Sci Nutr 2024; 12:1581-1591. [PMID: 38455220 PMCID: PMC10916568 DOI: 10.1002/fsn3.3821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 10/17/2023] [Accepted: 10/25/2023] [Indexed: 03/09/2024] Open
Abstract
Undernutrition in childhood is a crucial public health issue in Ethiopia. Yet, more than an assessment of undernutrition using conventional index is needed to conclude the overall prevalence of undernutrition among children aged 6-23 months. Therefore, this study aimed to assess the prevalence of undernutrition using composite index of anthropometric failure and its associated factors among children aged 6-23 months in Southwest Ethiopia. A community-based cross-sectional study was employed among 440 mother-child pairs selected using a two-stage cluster sampling method in the rural Kersa district, Jimma Zone, Southwest Ethiopia. A pretested structured questionnaire was used to collect data. Multivariable logistic regression analysis was employed to identify factors associated with undernutrition. Variables with a p-value of <.05 were considered statistically significant. The proportion of undernutrition using composite indexes of anthropometric failure was 57.3% among children aged 6-23 months. Children being male [AOR = 1.55; 95% CI (1.013, 2.373)], not met minimum acceptable diet (MAD) [AOR = 2.104; 95% CI (1.05, 4.214)], larger family size [AOR = 1.699; 95% CI (1.0791, 2.675)], having comorbidity [AOR = 3.31; 95% CI (2.068, 5.327)], and being in food insecurity household [AOR = 3.12; 95% CI (2.0, 4.868)] were more likely to be in anthropometric failure, whereas children from the mother who attended higher and above schooling [AOR = 0.244; 95% CI (0.093, 0.641)] were less likely to be in anthropometric failure. More than half of children aged 6-23 months were experienced anthropometric failure. Male children, those who have not received the MAD, come from larger families, have comorbidities, live in food-insecure households, and have mothers with higher education levels were found to be at higher risk of anthropometric failure.
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Affiliation(s)
- Meseret Tamrat Gebretsadik
- Department of Nutrition and Dietetics, Public Health Faculty, Institute of HealthJimma UniversityJimmaEthiopia
| | - Assefa Legesse Sisay
- Department of Epidemiology, Public Health Faculty, Institute of HealthJimma UniversityJimmaEthiopia
| | - Dessalegn Tamiru
- Department of Nutrition and Dietetics, Public Health Faculty, Institute of HealthJimma UniversityJimmaEthiopia
| | - Tefera Belachew
- Department of Nutrition and Dietetics, Public Health Faculty, Institute of HealthJimma UniversityJimmaEthiopia
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Fenta HM, Zewotir T, Muluneh EK. Spatial regression models to assess variations of composite index for anthropometric failure across the administrative zones in Ethiopia. PLoS One 2024; 19:e0282463. [PMID: 38416735 PMCID: PMC10901317 DOI: 10.1371/journal.pone.0282463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 02/15/2023] [Indexed: 03/01/2024] Open
Abstract
BACKGROUND There are a number of previous studies that investigated undernutrition and its determinants in Ethiopia. However, the national average in the level of undernutrition conceals large variation across administrative zones of Ethiopia. Hence, this study aimed to determine the geographic distribution of composite index for anthropometric failure (CIAF) and identify the influencing factors it' might be more appropriate. METHODS We used the zonal-level undernutrition data for the under-five children in Ethiopia from the Ethiopian Demographic and Health Survey (EDHS) dataset. Different spatial models were applied to explore the spatial distribution of the CIAF and the covariates. RESULTS The Univariate Moran's I statistics for CIAF showed spatial heterogeneity of undernutrition in Ethiopian administrative zones. The spatial autocorrelation model (SAC) was the best fit based on the AIC criteria. Results from the SAC model suggested that the CIAF was positively associated with mothers' illiteracy rate (0.61, pvalue 0.001), lower body mass index (0.92, pvalue = 0.023), and maximum temperature (0.2, pvalue = 0.0231) respectively. However, the CIAF was negatively associated with children without any comorbidity (-0.82, pvalue = 0.023), from families with accessibility of improved drinking water (-0.26, pvalue = 0.012), and minimum temperature (-0.16). CONCLUSION The CIAF across the administrative zones of Ethiopia is spatially clustered. Improving women's education, improving drinking water, and improving child breast feeding can reduce the prevalence of undernutrition (CIAF) across Ethiopian administrative zones. Moreover, targeted intervention in the geographical hotspots of CIAF can reduce the burden of CIAF across the administrative zones.
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Affiliation(s)
- Haile Mekonnen Fenta
- Department of Statistics, College of Science, Bahir Dar University, Bahir Dar, Ethiopia
| | - Temesgen Zewotir
- School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Durban, South Africa
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Birhanu F, Yitbarek K, Bobo FT, Atlantis E, Woldie M. Undernutrition in children under five associated with wealth-related inequality in 24 low- and middle-income countries from 2017 to 2022. Sci Rep 2024; 14:3326. [PMID: 38336795 PMCID: PMC10858243 DOI: 10.1038/s41598-024-53280-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 01/30/2024] [Indexed: 02/12/2024] Open
Abstract
Undernourishment is a persistent public health problem contributing to increased mortality in children under five in low-income countries, likely exacerbated by socio-economic disparities within communities. This paper aimed to examine the effect of wealth-related inequality on undernutrition in children under five in low, lower-middle, and upper-middle-income countries (LMICs). We analyzed cross-sectional data from the demographic and health survey program collected between 2017 and 2022 from 24 LMICs. Children born within 5 years preceding the survey were included in the analysis. Child undernutrition was the dependent variable (measured by stunting, wasting, and underweight) and country-level wealth-based inequality was the independent variable assessed by concentration index values stratified by the World Bank's income categories. Within country inequality of child undernutrition was determined by concentration index (C) values with 95% confidence intervals (95% CI) and sub-group analysis by place of residence and sex of the child. We then fit bootstrapped meta-regression to check the variation in inequality of child undernutrition across different income category countries. The analysis was controlled by potential confounding variables. From the total sample size of 334,502 children included in the study, 35% were undernourished. Wealth-related inequality in child undernutrition was observed in 11 countries, consistently across income categories. Child undernutrition was highly concentrated among the poor households of Türkiye [C: - 0.26, 95% CI - 0.31 to - 0.20], and Cameroon [C: - 0.19, 95% CI - 0.22 to - 0.17], and relatively it was less concentrated among the poor in Liberia [C: - 0.07, 95% CI - 0.11 to - 0.04], and Gambia [C: - 0.07, 95% CI - 0.11 to - 0.04]. There is no difference in undernutrition associated with inequality between the three broad LMIC categories. The wealth-related inequality in child undernutrition within many of the included countries is still very significant. However, the economic category of countries made no difference in explaining wealth-related inequality in child undernutrition. Inter-sectoral collaboration to fight poverty and render special attention to the disadvantaged population segments would potentially help to address the observed inequity.
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Affiliation(s)
- Frehiwot Birhanu
- School of Public Health, College of Health Science, Mizan-Tepi University, Mizan-Amana, Ethiopia
- School of Health Sciences, Western Sydney University, Penrith, NSW, Australia
| | - Kiddus Yitbarek
- Department of Health Policy and Management, Institute of Health, Jimma University, Jimma, Ethiopia.
- School of Public Health, University of Technology Sydney, Sydney, NSW, Australia.
| | - Firew Tekle Bobo
- School of Public Health, University of Technology Sydney, Sydney, NSW, Australia
- Fenot Project, School of Population and Public Health, University of British Columbia, Addis Ababa, Ethiopia
| | - Evan Atlantis
- School of Health Sciences, Western Sydney University, Penrith, NSW, Australia
| | - Mirkuzie Woldie
- Fenot Project, School of Population and Public Health, University of British Columbia, Addis Ababa, Ethiopia
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Saif S, Anwar S. Unraveling the South Asian enigma: concurrent manifestations of child anthropometric failures and their determinants in selected South Asian countries. BMC Nutr 2023; 9:120. [PMID: 37904239 PMCID: PMC10614331 DOI: 10.1186/s40795-023-00771-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 09/28/2023] [Indexed: 11/01/2023] Open
Abstract
Malnutrition among children is pervasive in South Asia and there are also reports of overnutrition. To better understand this phenomenon, we need a composite measure. However, the existing measures such as CIAF (Composite Index of Anthropometric Failure) and its revised version have ignored the overnutrition aspect of the phenomenon. This study proposes an extended version of CIAF which also considers overnutrition. This new measure was compared with the existing measures by using data from 1990 to 2018 for three selected South Asian countries including Pakistan, India and Bangladesh. We also examined the effects of socioeconomic and environmental variables on the outcome variable. The results reveal that the new measure (ECIAF) is better at measuring the phenomena. The burden of overall malnutrition has been decreased in the region. However, an increase in the concomitant prevalence of wasting and underweight is observed in both Pakistan and India and stunting and overweight is observed only in India. Besides, political stability, prevalence of undernourishment, anemia in children, mother's education, household size, dependency ratio, air pollution and unimproved sanitation are significantly correlated with childhood malnutrition. The findings also testified to long-run cointegrating relationship among the variables.
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Affiliation(s)
- Sabeen Saif
- Department of Economics, Government College University, Faisalabad, Pakistan.
| | - Sofia Anwar
- Department of Economics, Government College University, Faisalabad, Pakistan
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Zeru MA, Fenta HM, Mitku AA. Spatial patterns and predictors of unintended pregnancy among reproductive age women in Ethiopia. PLoS One 2023; 18:e0282225. [PMID: 37531369 PMCID: PMC10396016 DOI: 10.1371/journal.pone.0282225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 02/10/2023] [Indexed: 08/04/2023] Open
Abstract
INTRODUCTION Unintended pregnancy is amajor sexual and reproductive health problem that imposes substantial health, economical and psychosocial costs to individuals and society as well as significant emotional distress to women, families, and society. The main aim of this study was to investigate the spatial distribution and predictors of unintended pregnancy in Ethiopian regions and administrative zones. METHODS This study was conducted based on data from 2016 Ethiopian Demographic and Health Survey. The prevalence of unintended pregnancy across regions and or zones was assessed using spatial analysis, and the effect of different factors on unintended pregnancy in Ethiopia was investigated using a generalized linear mixed model with a multistage clustered sampling strategy. The crude and best linear unbiased predictor estimations of zones were integrated with the shape file data to demonstrate the performance of each zone on maps. RESULTS The prevalence of unintended pregnancy for reproductive women in Ethiopia was29.49%. The highest rates of unintended pregnancy were recorded in the North Gondar zone of the Amhara region and the Jima zone in the Oromiya region. The mixed effects model revealed that age [AOR = 0.78, 95% CI, 0.62-0.97], residence [AOR = 2.62, 95%CI, 1.94, 7.27], marital status [AOR = 0.05, 95%CI, 0.01-0.38], women education [AOR = 1.34, 95%CI, 0.75-2.39], smoking cigarettes [AOR = 3.67, 95CI, 1.17-11.56], and poorer wealth index [AOR = 1.89, 95% CI, 1.51-2.31] were significantly associated with unintended pregnancy. CONCLUSION In Ethiopia, unintended pregnancy is a public health issue, and prevention stratagem for unintended pregnancy among reproductive women need to be focused based on the identified predictors. The spatial distribution of unintended pregnancy varied greatly at zonal and regional levels in Ethiopia. Hence, we recommended that, creating awareness of sexual and reproductive health with special priority to the identified hotspot areas (Amhara, Oromiya and SNN regions) to reduce unintended pregnancy. Emphasis on fertility and contraceptive techniques should be given to couples by health professionals.
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Affiliation(s)
- Melkamu A Zeru
- Department of Statistics, College of Science, Bahir Dar University, Bahir Dar, Ethiopia
| | - Haile Mekonnen Fenta
- Department of Statistics, College of Science, Bahir Dar University, Bahir Dar, Ethiopia
| | - Aweke A Mitku
- Department of Statistics, College of Science, Bahir Dar University, Bahir Dar, Ethiopia
- School of Mathematics, Statistics and Computer Science, College of Agriculture Engineering and Science, University of KwaZulu-Natal, Durban, South Africa
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Kundu RN, Borah J, Bharati S, Bharati P. Regional Distribution of the Anthropometric Failure among Under-five Children and Its Determinants in India. Ethiop J Health Sci 2023; 33:479-490. [PMID: 37576171 PMCID: PMC10416325 DOI: 10.4314/ejhs.v33i3.11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 03/23/2023] [Indexed: 08/15/2023] Open
Abstract
Background Undernutrition in children seems to be one of the major health issues in developing nations including India. Stunting, underweight, and wasting are the three most often used anthropometric indicators to evaluate childhood undernutrition. Children who exhibit one or more indicators of undernutrition are considered as anthropometric failure (AF). The present study aims to determine the distribution and determinants of anthropometric failure in children under the age of five in different regions of India. Methods NFHS-5 data, collected between 2019 and 2021, were utilized for the study. Pearson's chi-square (χ2) test was used to look into the association between categorical variables. Binary logistic regression was used to find the explanatory factors that influence anthropometric failure. Results More than half of the under-five children (52.18%) in India are suffering from anthropometric failure, out of these West (57.88%), East (56.58%), and Central (53.94%) regions have covered half of the total occurrence. State-wise, Bihar (61.66%), followed by Gujarat (60.26%), and Jharkhand (58.05%) have recorded the highest rates of anthropometric failure. Anthropometric failure is higher among anemic children, boys, parent not alives, the higher number of birth order, lower educated mothers, rural dwellers, belonging to scheduled tribes and scheduled castes communities, living in nuclear families, and having lower household wealth indexes than their other counterparts. Conclusion These aspects imply that regional determinants should be taken into consideration when implementing child nutrition development programs.
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Affiliation(s)
- Ramendra Nath Kundu
- Research Associate-I, Indian Council of Medical Research - Centre for Ageing & Mental Health, Kolkata, West Bengal, India
| | - Juri Borah
- Assistant Professor and Head, Department of Anthropology, Gurucharan College, Silchar, Assam
| | - Susmita Bharati
- Former Scientist, Sociological Research Unit, Indian Statistical Institute, Kolkata, West Bengal, India
| | - Premananda Bharati
- Former Professor and Head, Biological Anthropology Unit, Indian Statistical Institute, Kolkata, West Bengal, India
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Fenta HM, Zewotir T, Muluneh EK. Space-time dynamics regression models to assess variations of composite index for anthropometric failure across the administrative zones in Ethiopia. BMC Public Health 2022; 22:1550. [PMID: 35971115 PMCID: PMC9377130 DOI: 10.1186/s12889-022-13939-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 08/02/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND A single anthropometric index such as stunting, wasting, or underweight does not show the holistic picture of under-five children's undernutrition status. To alleviate this problem, we adopted a multifaceted single index known as the composite index for anthropometric failure (CIAF). Using this undernutrition index, we investigated the disparities of Ethiopian under-five children's undernutrition status in space and time. METHODS Data for analysis were extracted from the Ethiopian Demographic and Health Surveys (EDHSs). The space-time dynamics models were formulated to explore the effects of different covariates on undernutrition among children under five in 72 administrative zones in Ethiopia. RESULTS The general nested spatial-temporal dynamic model with spatial and temporal lags autoregressive components was found to be the most adequate (AIC = -409.33, R2 = 96.01) model. According to the model results, the increase in the percentage of breastfeeding mothers in the zone decreases the CIAF rates of children in the zone. Similarly, the increase in the percentages of parental education, and mothers' nutritional status in the zones decreases the CIAF rate in the zone. On the hand, increased percentages of households with unimproved water access, unimproved sanitation facilities, deprivation of women's autonomy, unemployment of women, and lower wealth index contributed to the increased CIAF rate in the zone. CONCLUSION The CIAF risk factors are spatially and temporally correlated across 72 administrative zones in Ethiopia. There exist geographical differences in CIAF among the zones, which are influenced by spatial neighborhoods of the zone and temporal lags within the zone. Hence these findings emphasize the need to take the spatial neighborhood and historical/temporal contexts into account when planning CIAF prevention.
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Affiliation(s)
- Haile Mekonnen Fenta
- Department of Statistics, College of Science, Bahir Dar University, Bahir Dar, Ethiopia
| | - Temesgen Zewotir
- School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Durban, South Africa
| | - Essey Kebede Muluneh
- School of Public Health, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia
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