scholarly journals Tracking progress in anthropometric failure among under-five children in Ethiopia: a geospatial and multilevel analysis

2021 ◽  
Vol 79 (1) ◽  
Author(s):  
Binyam Tariku Seboka ◽  
Samuel Hailegebreal ◽  
Delelegn Emwodew Yehualashet ◽  
Abel Desalegn Demeke
Keyword(s):  
Logistic Regression ◽  
Formal Education ◽  
Composite Index ◽  
Temporal Distribution ◽  
Secondary Data ◽  
Health Concern ◽  
Multilevel Logistic Regression ◽  
Under Five ◽  
Under Five Children ◽  
Under Nutrition

Abstract Background Undernutrition is a major public health concern among under-five children in many developing countries. This work evaluated the overall prevalence of under-nutrition by using a composite index of anthropometric failure (CIAF), which helps in the detection of children with multiple anthropometric failures. This research also includes the Spatio-temporal distribution of childhood anthropometric failures across time. Methods Secondary data was obtained from the Ethiopian Demographic and Health Survey for the survey 2005, 2011, and 2016 years. Data included 23,864 samples of children between the ages of 0–59 months, which is a nationally representative sample in Ethiopia. Other than descriptive statistics, the multivariate multilevel logistic regression was used to identify associated factors, and Getis-Ord spatial statistical tools were employed to identify high and low hotspots areas of anthropometric failures. Result The prevalence obtained with CIAF in 2005, 2011, and 2016 was, 53.5 %, 51 %, and 46.2 % of children were suffering from under-nutrition respectively. The spatial analysis revealed areas that are at a higher risk of anthropometric failures consistently were found in northern parts of the country, largely in the Amhara, Tigray, and Afar regions. Multilevel logistic regression analysis showed that the risk of anthropometric failure was higher among older children, had low birth weight, had a mother with low BMI, was in a rural area, had mothers and fathers without formal education. Conclusions In addition to identifying wasted, stunted, and underweight children, CIAF also identified children with multiple conditions, which are often overlooked in nutritional surveys. As revealed by this composite index, the prevalence of anthropometric failure remains considerably high and its spatial distribution also significantly varied across the regions in the country. The established socio-demographic characteristics and districts with a higher risk of anthropometric failure can be used to develop localized intervention and prevention strategies to improve Ethiopian children’s nutritional status and healthcare.

scholarly journals Tracking Progress in Anthropometric Failure Among Under-five Children in Ethiopia: A Geospatial and Multilevel Analysis.

2020 ◽  
Author(s):  
Binyam Tariku Seboka ◽  
Samuel Hailegebreal ◽  
Delelegn Emwodew Yehualashet ◽  
Abel Desalegn Demeke
Keyword(s):  
Logistic Regression ◽  
Associated Factors ◽  
Composite Index ◽  
Temporal Distribution ◽  
Health Concern ◽  
Multilevel Logistic Regression ◽  
Statistical Tool ◽  
Under Five ◽  
Under Five Children ◽  
Under Nutrition

Abstract Background Under-nutrition is a major public health concern among under-five children in many developing countries. This work evaluated the overall prevalence of under-nutrition by using a composite index of anthropometric failure (CIAF), which helps in the detection of children with multiple anthropometric failures. Additionally, this study provides a Spatio-temporal distribution and associated factors of childhood anthropometric failures across time.Methods Secondary data was obtained from the Ethiopian Demographic and Health Survey for the survey 2005, 2011, and 2016 years. Data included 23,864 samples of children between the ages of 0-59 months, which is a nationally representative sample in Ethiopia. Analytical methods used in this paper include multivariate multilevel logistic regression to identify associated factors and Getis-Ord spatial statistical tool to identify high and low hotspots areas of anthropometric failures. ResultThe prevalence obtained with CIAF in 2005, 2011, and 2016 was, 53.5%, 51%, and 46.2% of children were suffering from under-nutrition respectively. The spatial analysis revealed areas that are at a higher risk of anthropometric failures consistently were found in northern parts of the country, largely in the Amhara, Tigray, and Afar regions. Multilevel logistic regression analysis showed that the risk of anthropometric failure was higher among older children, had low birth weight, had a mother with low BMI, was in a rural area, had mothers and fathers without formal education. Conclusion In addition to identifying wasted, stunted, and overweight children, CIAF also identified children with multiple conditions, which are generally neglected in most nutritional surveys. As revealed by this composite index, the prevalence of anthropometric failure remains considerably high and its spatial distribution also significantly varied across the regions in the country. The identified socio-demographic characteristics and districts at an increased likelihood of anthropometric failure can inform localized intervention and prevention strategies to improve the nutritional status and healthcare of children in Ethiopia.

scholarly journals Bivariate binary analysis on composite index of anthropometric failure of under-five children and household wealth-index

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Demeke Lakew Workie ◽  
Lijalem Melie Tesfaw
Keyword(s):  
Logistic Regression ◽  
Composite Index ◽  
Binary Logistic Regression ◽  
Wealth Index ◽  
Household Wealth ◽  
Education Level ◽  
Multiple Birth ◽  
Under Five ◽  
Under Five Children ◽  
Study Results

Abstract Background Malnutrition is the most common cause of mortality and morbidity of children in low and middle income countries including Ethiopia and household wealth index shares the highest contribution. Thus, in this study it is aimed to conduct bivariate binary logistic regression analysis by accounting the possible dependency of child composite index anthropometric failure and household wealth index. Methods In this study the data from Ethiopian Demographic and Health Survey (EDHS) 2016 involved 9411 under five children was considered. Child Composite Index Anthropometric Failure (CIAF) measures the aggregate child undernourished derived from the conventional anthropometric indices (stunting, underweight and wasting). The correlation between CIAF and wealth index was checked and significant correlation found. To address the dependency between the two outcome variables bivariate binary logistic regression was used to analyze the determinants of child CAIF and household wealth index jointly. Results Study results show that region, place of residence, religion, education level of women and husband/partner, sex of child, source of drinking water, household size and number of under five children in the household, mothers body mass index, multiple birth and anemia level of child had significant association with child CIAF. Female children were 0.82 times less likely to be CIAF compared to male and multiple birth children were more likely to be CIAF compared to single birth. Children from Oromia, Somalie, Gambela, SNNPR, Harari and Addis Ababa region were 0.6, 0.56, 0.67, 0.52, 0.6 and 0.44 times less likely to be CIAF compared to Tigray. A household from rural area were 15.49 times more likely poor compared to a household. The estimated odds of children whose mothers attended primary, and secondary and higher education was 0.82, and 0.52 times respectively the estimated odds of children from mothers who had never attended formal education. Conclusion The prevalence of children with composite index anthropometric failure was high and closely tied with the household wealth index. Among the determinants, region, religion, family education level, and anemia level of child were statistically significant determinants of both CIAF and household wealth index. Thus, the authors recommend to concerned bodies and policymakers work on household wealth index to reduce the prevalence of child composite anthropometric failure.

scholarly journals Assessment of under nutrition using composite index of anthropometric failure among under five children of tribal population

2019 ◽  
Vol 6 (5) ◽  
pp. 2056 ◽  
Author(s):  
Ram Prabhakar ◽  
Hemalatha Kumarasamy ◽  
Anitha Dhanapal
Keyword(s):  
Composite Index ◽  
Postnatal Period ◽  
Tribal Population ◽  
Cross Sectional ◽  
Under Five ◽  
Under Five Children ◽  
Under Nutrition ◽  
Helminthic Infections ◽  
Employed Mothers ◽  
Tribal Populations

Background: Under nutrition is one of the most imperative problems among children that needed to be addressed in the realm of public health. Undernourished children cannot maintain natural biological abilities, such as growth, recuperating from ailments, learning and physical development. Poor feeding practices along with illnesses like diarrhoea, pneumonia, helminthic infections etc. are major determinants of under nutrition in India. The tribal populations in India are identified to be the autochthonous people of the land thereby being one of the major sufferers of under nutrition. This study aimed at finding out the prevalence of under nutrition among under-five children in tribal population in Tiruchirappalli district of Tamil Nadu.Methods: This community based cross-sectional analytical study was done among Malayali Tribes population of Puthur village, Pachamalai Hills, Trichy to determine the prevalence of under-nutrition using CIAF and WHO Z scoring system and its risk factors by multivariate analysis.Results: Out of 100 children, about 85% were undernourished as per CIAF criteria. In the Multivariate analysis, children of employed mother and children who were not given exclusive breast feeding were associated with Under nutrition which was statistically significant (p<0.05).Conclusions: CIAF could be considered as a better measure than any other single index to identify the problem in the community. The study also emphasizes the significance of proper IYCF practices among employed mothers and improvement of MCH services in Tribal population during antenatal and immediate postnatal period to bring down the prevalence of under nutrition.

scholarly journals Associated risk factors of underweight among under-five children in Ethiopia using multilevel ordinal logistic regression model

2021 ◽  
Vol 21 (1) ◽  
pp. 362-72
Author(s):  
Nigussie Adam Birhan ◽  
Denekew Bitew Belay
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Proportional Odds Model ◽  
Proportional Odds ◽  
Under Five ◽  
Single Level ◽  
Under Five Children ◽  
Under Nutrition ◽  
Partial Proportional Odds Model ◽  
Associated Risk Factors

Background: Malnutrition is associated with both under nutrition and over nutrition which causes the body to get improp- er amount of nutrients to maintain tissues and organ function. Under nutrition is the result of insufficient intake of food, poor utilization of nutrients due to illnesses, or a combination of these factors. The purpose of this study was to identify associated risk factors and assess the variation of underweight among under-five children of different regions in Ethiopia. Methods: Ethiopian Demography and Health Survey (EDHS-2016) weight-to-age data for under-five children is used. In order to achieve the objective of this study; descriptive, single level and multilevel ordinal logistic regression analysis were used. Results: From a total of 8935 children about 8.1% were severely underweight, 17.1% were moderately underweight and 74.8% were normal. The test of heterogeneity suggested that underweight varies among region and multilevel ordinal model fit data better than single level ordinal model. Conclusion: Educational level of mother, religion, birth order, type of birth, sex of child, mother body mass index, birth size of child, existence of diarrhea for last two weeks before survey, existence of fever for last two weeks before survey, duration of breast feeding, age child and wealth index had significant effect on underweight among under-five children in Ethiopia. The finding revealed that among the fitted multilevel partial proportional odds model, the random intercept model with fixed coefficients is appropriate to assess the risk factors of underweight among under-five children in Ethiopia. The findings of this study have important policy implications. The government should work closely with both the private sector and civil society to teach women to have sufficient knowledge, awareness and mechanisms of improving under-five under- weight for children’s wellbeing. Keywords: Underweight; Partial proportional odds model; Multilevel partial proportional odds model; under-five children.

scholarly journals Assessment of undernutrition by composite index of anthropometric failure among under five children in a slum of Kolkata, West Bengal

2020 ◽  
Vol 7 (4) ◽  
pp. 1422
Author(s):  
Surajit Lahiri ◽  
Saibendu Kumar Lahiri
Keyword(s):  
Multivariate Analysis ◽  
Composite Index ◽  
Public Health Problem ◽  
Major Public Health Problem ◽  
Z Score ◽  
Class Iii ◽  
Single Measure ◽  
Under Five ◽  
Under Five Children ◽  
Under Nutrition

Background: Under-nutrition is a major public health problem in India among under-five children. Composite index of anthropometric failure (CIAF) provides an overall estimate of under-nutrition as a single measure and helps in detection of children with multiple anthropometric failures.Methods: This cross-sectional community-based study was done in Baghbazar slum of north Kolkata to determine the prevalence of under-nutrition among the under-five children and to find out the determinants of under-nutrition assessed by CIAF using multivariate analysis. WHO Z score system and the composite index of anthropometric failure (CIAF) were used to estimate the magnitude of under-nutrition.Results: 41.2% children were diagnosed with anthropometric Failure. CIAF was more in female (43.1%) than male (39.1%). Multivariate analysis shows that low education level of mother, low socio-economic status (class III and below) and overcrowding were significantly associated with CIAF.Conclusions: CIAF gives a better estimate of under-nutrition than the currently used weight for age Z score. The study shows the importance of proper infant and child feeding practices, family planning practices, appropriate maternal care, female literacy, improvement of economic condition, housing standards and proper treatment of illness in prevention of under-nutrition among under-five children.

scholarly journals Undernutrition and associated common comorbidities among 6 -59 months old children

2020 ◽  
Vol 32 (2) ◽  
pp. 461-463
Author(s):  
Abu Rehan ◽  
Surekha Kishore ◽  
Mahendra Singh ◽  
Yogesh Bahurupi ◽  
Pradeep Aggarwal ◽  
...  
Keyword(s):  
Cross Sectional Study ◽  
Health Concern ◽  
Community Based ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Under Five ◽  
Under Five Children ◽  
Under Nutrition ◽  
Child Morbidity ◽  
Very High

Background: Undernutrition has long been a major public health concern in developing country like India as a leading cause of child morbidity and mortality.  Aim & Objectives: To assess undernutrition in under five children and various associated factors affecting it. Methods and Material: A community based cross sectional study was conducted among 400 under five children in Rishikesh. Results: The prevalence of underweight was 37.3%, stunting was 43.3% and wasting was 24.5% respectively. Common morbidity emerged as significant predictors of under nutrition. Conclusion: The burden of common morbidities and prevalence of malnutrition among under-five children in this community is very high.

scholarly journals Pengaruh Kemiskinan Keluarga pada Kejadian Pneumonia Balita di Indonesia

2009 ◽  
Vol 4 (1) ◽  
pp. 36
Author(s):  
Rizanda Machmud
Keyword(s):  
Logistic Regression ◽  
Environmental Factors ◽  
Tract Infection ◽  
Cause Of Death ◽  
Evaluation Study ◽  
Socioeconomic Factor ◽  
Multilevel Logistic Regression ◽  
Under Five ◽  
Under Five Children ◽  
Benefit Evaluation

Pneumonia merupakan penyakit infeksi saluran pernapasan akut yang menjadi kausa utama kematian balita. Di Indonesia, pada akhir tahun 2000, angka kematian balita akibat pneumonia diperkirakan 4,9/1000 balita. Faktor sosio-ekonomi berkontribusi besar terhadap penyakit saluran pernapasan. Tujuan penelitian ini adalah mengetahui faktor sosio-ekonomi yang paling berpengaruh terhadap pneumonia pada balita. Penelitian dengan dengan disain krossek-sional ini menggunakan sumber data sekunder Benefit Evaluation Study (BES) II oleh Pusat Penelitian Kesehatan Universitas Indonesia bekerja sama dengan Proyek Intensifikasi Pemberantasan Penyakit Menular, Departemen Kesehatan. Sampel diambil berdasarkan multilevel statistical frameworkdari 7.170 ba-lita pada 10.900 rumah tangga di 27 kabupaten di tujuh provinsi. Metode analisis yang digunakan adalah multilevel logistic regression. Penelitian ini memperlihatkan bahwa sosio-ekonomi rumah tangga berperan secara bermakna terhadap kejadian pneumonia balita. Rumah tangga miskin berisiko lebih besaruntuk terkena pneumonia. Pada keluarga miskin, risiko pneumonia yang lebih besar disebabkan oleh faktor kontekstual lingkungan yang buruk berupa pen-cemaran di dalam rumah yang dikontrol faktor komposisi status gizi (95% CI OR 4.05- 4.78). Kebijakan intervensi program P2ISPA disarankan lebih mengu-tamakan intervensi pada faktor kontekstual lingkungan buruk pencemaran dalam rumah tangga miskin. Kata kunci: Pneumonia, sosio-ekonomi, balitaAbstractPneumonia is an acute respiratory tract infection disease that becomes a major cause of death among under five years old children. In Indonesia, in 2000, pneumonia specific cause of death rate among under five children is predicted to be 4.9/ 1000. The socio-economic factor has significant contribution to res-piratory tract infection. The objective of this study is to know the socioeconomic factor that affect pneumonia among under five children. The study uses cross sectional study design using secondary data of Benefit Evaluation Study (BES) II conducted by Centre for Health Research, University of Indonesia in collaboration with Intensification of Infectious Diseases Eradication Project, MOH-RI. The study sample is selected based on multilevel statistical framework from7170 under five children in 10900 households within 27 districts in seven provinces. Analysis method used in this study is multilevel logistic regression. This study shows that the low level of socioeconomic status affect significantly the pneumonia occurrence among under five children. The risk of pneumonia among lower socioeconomic household is higher than that of the high socioeconomic household. It was found that the association was found for poor environmental factor including in-house hygienic condition after controlled by nutritional status. The pneumonia occurrence among under five children is more influenced by environmental factors than individual factors (compositional effect). It is suggested to prioritize intervention on environmental factors to eradicate respira-tory tract infection.Keywords: Pneumonia, socio-economic, under five years old children

Pattern of Thalassemia and Hemoglobinopathies Among Anemic Under-Five Children of Northern Bangladesh: A Hospital Based Cross Sectional Study

2021 ◽  
Author(s):  
Md. Abdur Rafi ◽  
M. Morsed Zaman ◽  
Md. Golam Hossain
Keyword(s):  
Cross Sectional Study ◽  
Severe Form ◽  
Health Concern ◽  
Sectional Study ◽  
Cross Sectional ◽  
Hemoglobin E ◽  
Under Five ◽  
Under Five Children ◽  
Thalassemia Minor ◽  
Different Types

Abstract Background Congenital hemoglobin defects are significant global health concern affecting more than 330,000 newborns every year. In Bangladesh more than half of the under-five children are anemic, but the contribution of hemoglobin disorders to childhood anemia is quite unexplored. Hence, the objective of the present study was to investigate the prevalence and pattern of hemoglobinopathies among anemic under-five (age 6–59 months) children visiting the hematology department of Rajshahi Medical College Hospital (RMCH). Methods This was a retrospective cross-sectional study among anemic patients aged between 6 to 59 months conducted in the hematology department of RMCH from July 2018 to June 2020. The guideline of WHO was used to define the severity of anemia. Hemoglobinopathies was measured using standard methods. Chi-square test was used to find the association between two categorical factors. Results Female and younger children included in the study were more likely to suffer from moderate to severe form of anemia compared to their counterparts. Out of 534 patients 183 were suffering from different types of hemoglobinopathies (prevalence 34.3%). E-β-Thalassemia was the most common type of hemoglobinopathy (14%) followed by Hemoglobin E trait (11%) and β-Thalassemia minor (5.6%). Prevalence of these hemoglobin disorders was comparatively higher among female and older children (p < 0.05). Patients with E-β-Thalassemia and β-Thalassemia major of our study were mostly suffering from severe form of anemia while patients with hemoglobin E trait and β-Thalassemia minor were mostly suffering from mild anemia (p < 0.01). Conclusions A remarkable number of children were suffering from severe anemia and different types of hemoglobinopathies. Gender and age group were the risk factors of anemia and hemoglobinopathies among under-five children. Health authorities of Bangladesh should especially take care of anemic children in this country.

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