Prevalence of anemia and its associated factors among under-five age children in Shanan gibe hospital, Southwest Ethiopia

Prevalence and Associated Factors of Anemia in Children Aged 6 to 59 Months in the Eastern Region of Burkina Faso

Background. Anemia in children aged 6 to 59 months is a public health problem in Burkina Faso with a prevalence well above the 40% estimated by WHO globally for this age group. Aim. The objective of this study was to evaluate the prevalence and associated factors of anemia in children aged 6 to 59 months. Methods. This was a cross-sectional descriptive and analytical study. The rapid diagnostic test "hemocue" was used to measure the hemoglobin level in the blood of 486 children aged 6 to 59 months. The cut-off point for any anemia was a hemoglobin level of less than 11.0 g/dL. The chi-square test was used to analyze the anemia prevalence differences in different characteristic groups, and the multivariate logistic regression was used to analyze the relationship between the household and sociodemographic characteristics and anemia in children. The data was processed using the SPSS software. Results. Nine out of 10 children were anemic, with a prevalence of 90.9%. Prevalences were high in both Gnagna and Gourma, respectively 89.9% and 91.6%. The results of the bivariate analysis showed that the age of the child, the household head education level and the participation of the mother in activities to prevent malnutrition were significantly associated with anemia. In multivariate analysis, children aged 6 to 12 months were 3 times more likely to have anemia than children aged over 36 months. Those aged 13 to 36 months were twice as likely to have anemia as those aged over 36 months. Conclusion. There was a need to strengthen anemia interventions taking into account the age of children.

Anemia and associated factors among under-five children attending public Hospitals in Harari Regional State, eastern Ethiopia: A cross-sectional study

Childhood anemia is a significant global public health problem. It influences the physical and cognitive development, as well as immunity of affected children. This in turn leads to poor academic performance, low working potential, and increased morbidity and mortality. There is limited facility-based data on the magnitude and predictors of anemia among under-five children. This study aimed to determine the prevalence and associated factors of anemia among under-five children attending public Hospitals in Harari Regional State, eastern Ethiopia. Institution-based cross-sectional study was conducted at Hiwot Fana Comprehensive Specialized University Hospital and Jugal Hospital from July 1, 2022, to August 31, 2022. A total of 330 under-five children were involved by systematic random sampling technique. Data on sociodemographic characteristics and other possible factors were collected through face-to-face interviews with children's parents/legal guardians. Four milliliters of venous blood samples were collected for a complete blood cell count. Collected data were checked for completeness, entered into Epi-Data Statistical Software Version 4.6, and exported into the Statistical Package for Social Sciences version 25 for analysis. Bivariable and multivariable logistic regression was conducted and P < .05 were considered statistically significant. The overall prevalence of anemia was 33% (95% confidence interval [CI]: 27.9%-37.9%). Age of children 6 to 11 months (adjusted odd ratio [AOR] = 3.94, 95% CI: 1.55-10.01) and 12 to 23 months (AOR = 2.93, 95% CI: 1.15-7.43), no maternal education (AOR = 4.34, 95% CI: 1.53-12.35), not exclusively breastfeeding (AOR = 1.98, 95% CI: 1.11-3.52), being severely stunted (AOR = 3.39, 95 CI: 1.70-6.75), and underweight (AOR = 2.1, 95% CI: 1.12-3.87) were significantly associated with anemia among under-five children. In this study, anemia among under-five children is a moderate public health problem. This study revealed that young child age, maternal education level, early initiation of complementary feeding, and child undernutrition were factors associated with anemia. Thus, efforts should be made to improve the child's nutritional status as well as enhance maternal awareness of nutrition and child-feeding practice through health education. Regular childhood nutritional screening and appropriate intervention for malnutrition are needed. Besides, further studies assessing serum micronutrient levels should be conducted to differentiate the specific cause and type of anemia.

Malaria prevalence and use of control measures in an area with persistent transmission in Senegal

INTRODUCTION

In Senegal, the widespread use of vector control measures has resulted in a significant reduction in the malaria burden and led the country to consider the possibility of elimination. Given this shift and changing context, it is important to characterize the malaria burden across all age groups to guide decision-making on programmatic interventions to interrupt transmission and ultimately eradicate the disease. In Senegal, there is a lack of information on malaria prevalence among certain populations, particularly among adolescents and adults. This study sought to assess the magnitude of malaria infections in all age groups, as well as malaria associated factors in an area of persistent transmission in Senegal.

METHODS

A cross-sectional household survey was conducted in four health posts (Khossanto, Mamakhona, Diakhaling and Sambrambougou), of the health district of Saraya, in November 2021, among individuals over 6 months of age. Households were selected using multistage sampling. Consented participants were screened for malaria parasites by microscopic examination of blood smears, and hemoglobin levels were measured using the Hemocue HB 301TM analyzer. Socio-demographic information of the participants, household heads, household assets, and information on ownership and use of preventive measures were collected using a structured questionnaire. Weighted generalized mixed effects logistic regression model was used to identify factors associated with microscopically confirmed malaria infection.

RESULTS

A total of 1759 participants were enrolled in the study. Overall, about 21% of participants were classified as having Plasmodium infection; children aged 5-10 years old (26.6%), adolescents aged 10-19 years old (24.7%), and children under five years of age (20.5%) had higher rates of infection compared to adults (13.5%). Plasmodium falciparum accounted for 99.2% of the malaria infections, and most infections (69%) were asymptomatic. Around one-third of study participants had anemia (hemoglobin level <11.0 g/dl), with under five children bearing the highest burden (67.3%). Multivariate analysis showed that the odds of having a malaria infection were around 2 times higher among participants in Khossanto compared to Diakhaling (aOR = 1.84, 95% CI:1.06-3.20). Participants aged 5-9 years were more likely to have malaria infection compared to under five children (aOR = 1.40, 95% CI:1.02-1.91). Factors associated with anemia were P. falciparum infection (aOR = 1.36, p = 0.027), females (aOR = 2.16, p = 0.000), under-five age group (aOR = 13.01, p = 0.000).

CONCLUSION

Malaria burden was considerable among adolescents and under ten children living in an area of persistent transmission, with adolescents more commonly presenting as asymptomatic. Interventions tailored to this specific group of the population are needed to better control the disease and reduce its burden.

Application of machine learning methods for predicting childhood anaemia: Analysis of Ethiopian Demographic Health Survey of 2016

Childhood anaemia is a public health problem in Ethiopia. Machine learning (ML) is a growing in medicine field to predict diseases. Diagnosis of childhood anaemia is resource intensive. The aim of this study is to apply machine learning (ML) algorithm to predict childhood anaemia using socio-demographic, economic, and maternal and child related variables. The study used data from 2016 Ethiopian demographic health survey (EDHS). We used Python software version 3.11 to apply and test ML algorithms through logistic regression, Random Forest (RF), Decision Tree, and K-Nearest Neighbours (KNN). We evaluated the performance of each of the ML algorithms using discrimination and calibration parameters. The predictive performance of the algorithms was between 60% and 66%. The logistic regression model was the best predictive model of ML with accuracy (66%), sensitivity (82%), specificity (42%), and AUC (69%), followed by RF with accuracy (64%), sensitivity (79%), specificity (42%), and AUC (63%). The logistic regression and the RF models of ML showed poorest family, child age category between 6 and 23 months, uneducated mother, unemployed mother, and stunting as high importance predictors of childhood anaemia. Applying logistic regression and RF models of ML can detect combinations of predictors of childhood anaemia that can be used in primary health care professionals.

Magnitude, Associated Factors and Morphological Types of Anemia Among Hospitalized 6-59 Months Age Children at Jimma Medical Center, Southwest Ethiopia - A Hospital-Based Cross-Sectional Study

Background

Anemia is among the major public health problems that cause significant morbidity and mortality among children around the world. Anemia in children of age 6 months to 5 years is a major health problem in most developing world countries with estimated prevalence of about 43%.

Objective

To determine the magnitude, associated factors and morphological types of anemia among hospitalized 6-59 months age children from June 15 to October 15, 2022 at Jimma Medical Center, southwest Ethiopia.

Methodology

Hospital-based cross- sectional study design was conducted from June 15 to October 15, 2022 at Jimma Medical Center, involving 383 hospitalized children aged 6-59 months by employing convenient sampling technique. Data of sociodemographic characteristics and other associated factors of the study individuals waere collected using a pre-structured questionnaire. Clinical data were collected by physical examination and from history of client by medical interns and nurses. Then 3 mL venous blood was collected and analyzed for complete blood count. Data were coded, cleared and entered into EpiData version 4.6 and exported to SPSS version 25 for analysis. Bivariable and multivariable binary logistic regression was used to identify associated factors.

Results

The overall prevalence of anemia among hospitalized 6-59 months age children was 57.2%; out of them 30.82% were moderate. In the present study children with malaria infection, AOR = 1.15 (95% CI: 0.017, 0.781), Cchildren with severe malnutrition, AOR = 2.046 (95% CI: 0.306, 1.366), and children with low family income, AOR = 2.6 (95% CI 0.475, 0.894) were independent variables associated with anemia.

Conclusion and Recommendation

Anemia among study participants is found to be a severe public health problem. Based on this finding, more intervention is needed with health education on nutrition and child feeding.

Use of point-of-care haemoglobin tests to diagnose childhood anaemia in low- and middle-income countries: A systematic review

OBJECTIVES

Anaemia is a major cause of mortality and transfusion in children in low- and middle-income countries (LMICs); however, current diagnostics are slow, costly and frequently unavailable. Point-of-care haemoglobin tests (POC(Hb)Ts) could improve patient outcomes and use of resources by providing rapid and affordable results. We systematically reviewed the literature to investigate what, where and how POC(Hb)Ts are being used by health facilities in LMICs to diagnose childhood anaemia, and to explore challenges to their use.

METHODS

We searched a total of nine databases and trial registries up to 10 June 2022 using the concepts: anaemia, POC(Hb)T, LMIC and clinical setting. Adults ≥21 years and literature published >15 years ago were excluded. A single reviewer conducted screening, data extraction and quality assessment (of diagnostic studies) using QUADAS-2. Outcomes including POC(Hb)T used, location, setting, challenges and diagnostic accuracy were synthesised.

RESULTS

Of 626 records screened, 41 studies were included. Evidence is available on the use of 15 POC(Hb)Ts in hospitals (n = 28, 68%), health centres (n = 9, 22%) and clinics/units (n = 10, 24%) across 16 LMICs. HemoCue (HemoCue AB, Ängelholm, Sweden) was the most used test (n = 31, 76%). Key challenges reported were overestimation of haemoglobin concentration, clinically unacceptable limits of agreement, errors/difficulty in sampling, environmental factors, cost, inter-observer variability and supply of consumables. Five POC(Hb)Ts (33%) could not detect haemoglobin levels below 4.5 g/dL. Diagnostic accuracy varied, with sensitivity and specificity to detect anaemia ranging from 24.2% to 92.2% and 70% to 96.7%, respectively.

CONCLUSIONS

POC(Hb)Ts have been successfully utilised in health facilities in LMICs to diagnose childhood anaemia. However, limited evidence is available, and challenges exist that must be addressed before wider implementation. Further research is required to confirm accuracy, clinical benefits and cost-effectiveness.

Household environment associated with anaemia among children aged 6-59 months in Ethiopia: a multilevel analysis of Ethiopia demographic and health survey (2005-2016)

BACKGROUND

Anaemia continues to be a major public health challenge globally, including in Ethiopia. Previous studies have suggested that improved household environmental conditions may reduce anaemia prevalence; however, population-level evidence of this link is lacking in low-income countries. Therefore, this study aimed to examine the association between environmental factors and childhood anaemia in Ethiopia.

METHODS

In this study, we conducted an analysis of the data from the Ethiopian Demographic and Health Survey (EDHS), a nationally representative population-based survey conducted in Ethiopia between 2005 and 2016. The study included a total of 21,918 children aged 6-59 months. Children were considered anemic if their hemoglobin (Hb) concentration was less than 11.0 g/dl. To examine the association between environmental factors and anemia, we used multilevel mixed-effect models. These models allowed us to control for various confounding factors including: child, maternal, household and community-level variables. The study findings have been reported as adjusted odds ratios (AORs) along with 95% confidence intervals (CIs) at a significance level of p < 0.05.

RESULTS

The study found the overall prevalence of childhood anaemia to be 49.3% (95%CI: 48.7-49.9) between 2005 and 2016 in Ethiopia. The prevalence was 47.6% (95%CI: 46.1-49.1) in 2005, 42.8% (95%CI: 41.8-43.8) in 2011, and increased to 57.4% (95%CI: 56.3-58.4) in 2016. The pooled data showed that children from households practising open defecation were more likely to be anaemic (AOR: 1.19, 95% CI: 1.05-1.36). In our survey specify analysis, the odds of anaemia were higher among children from households practising open defecation (AOR: 1.33, 95% CI: 1.12-1.58) in the EDHS-2011 and EDHS-2016 (AOR: 1.49, 95% CI: 1.13-1.90). In contrast, neither household water sources nor the time to obtain water was associated with anaemia after controlling for potential confounders. The other variables significantly associated with childhood anaemia include: the child's age (6-35 months), not fully vaccinated (AOR: 1.14, 95%CI: 1.05-1.24), children not dewormed in the last 6 months (AOR: 1.11, 95%CI: 1.01-1.24), children born to mothers not working (AOR: 1.10, 95%CI: 1.02-1.19), children from poor households (AOR: 1.18: 95%CI: 1.06-1.31), and rural residence (AOR: 1.23, 95%CI: 1.06-1.42).

CONCLUSION

In Ethiopia, about fifty percent of children suffer from childhood anemia, making it a serious public health issue. Open defecation is a major contributing factor to this scourge. To address this issue effectively, it is recommended to strengthen initiatives aimed at eliminating open defecation that involve various approaches, including sanitation infrastructure development, behavior change campaigns, and policy interventions. In addition, to reduce the burden of anemia in children, a multi-faceted approach is necessary, involving both prevention and treatment strategies.

The application of machine learning approaches to determine the predictors of anemia among under five children in Ethiopia

Health professionals need a strong prediction system to reach appropriate disease diagnosis, particularly for under-five child with health problems like anemia. Diagnosis and treatment delay can potentially lead to devastating disease complications resulting in childhood mortality. However, the application of machine learning techniques using a large data set provides scientifically sounded information to solve such palpable critical health and health-related problems. Therefore, this study aimed to determine the predictors of anemia among under-5 year's age children in Ethiopia using a machine learning approach. A cross-sectional study design was done using the Ethiopian Demographic and Health Survey 2016 data set. A two-stage stratified cluster sampling technique was employed to select the samples. The data analysis was conducted using Statistical Package for Social Sciences/SPSS version 25 and R-software. Data were derived from Ethiopian Demographic and Health Survey. Boruta algorism was applied to select the features and determine the predictors of anemia among under-5 years-old children in Ethiopia. The machine learning algorism showed that number of children, distance to health facilities, health insurance coverage, youngest child's stool disposal, residence, mothers' wealth index, type of cooking fuel, number of family members, mothers' educational status and receiving rotavirus vaccine were the top ten important predictors for anemia among under-five children. Machine-learning algorithm was applied to determine the predictors of anemia among under- 5 year's age children in Ethiopia. We have identified the determinant factors by conducting a feature importance analysis with the Boruta algorithm. The most significant predictors were number of children, distance to health facility, health insurance coverage, youngest child's stool disposal, residence, mothers' wealth index, and type of cooking fuel. Machine learning model plays a paramount role for policy and intervention strategies related to anemia prevention and control among under-five children.

Anemia prevalence and its predictors among children under-five years in Ghana. A multilevel analysis of the cross-sectional 2019 Ghana Malaria Indicator Survey

Background and Aims

Despite the implementation of anemia control interventions in Ghana, anemia prevalence is still high in children under-fives. Reducing the prevalence of anemia requires identifying and targeting associated critical risk factors. This study seeks to identify predictors of anemia among children under-fives in Ghana.

Methods

Nationally representative data from the 2019 Ghana Malaria Indicator Survey was used in this study. Both fixed and random effects (multilevel) logistic regression models were applied to 2434 children to identify critical factors associated with anemia.

Results

In this study, 54% (95% confidence interval [CI] 52.0-57.0) of children under-5 years were anemic. Infants were more likely to be anemic (66.7%) compared with other children below 5 years. In the multivariable multilevel model, the risk of anemia was found to be higher in younger children especially 6-11 months old (adjusted odds ratio [aOR] = 3.59, CI: 2.54-5.08) and 12-23 months old (aOR = 2.97, CI: 2.08-4.23), children who had malaria (aOR = 1.53, CI: 1.13-2.06), children whose mothers were not registered but not covered with health insurance (aOR = 1.45, CI: 1.21-1.74) or were not even registered for insurance (aOR = 1.49, CI: 1.15-1.93), children born to adolescent mothers (aOR = 2.21, CI: 1.36-3.57), children born to non-Christian mothers (Islam [aOR = 1.53, CI: 1.17-2.00]), children born to families of poorer households (poorest [aOR = 3.01, CI: 1.64-5.51]; poorer [aOR = 2.56, CI: 1.65-3.98]); middle (aOR = 2.03, CI: 1.32-3.11) and richer (aOR = 1.78, CI: 1.19-2.64), and children who lived in either Upper East (aOR = 2.03, CI: 1.26-3.26) or Central (aOR = 2.52, CI: 1.42-4.47) regions. Significant unobserved community-level differences in anemia prevalence were observed.

Conclusion

The probability of anemia in children under-fives differs substantially from one community to another, and the prevalence remains high. The identified critical risk factors should be addressed. Multifaceted and targeted approaches are needed to help reduce the anemia prevalence in this setting to achieve the multiple United Nation's Sustainable Development Goals, which are related to risk and prevalence of anemia by 2030.

An unacceptably high burden of anaemia and it's predictors among young women (15-24 years) in low and middle income countries; set back to SDG progress

BACKGROUND

Anaemia is a major global public health problem, considerably affects young women in resource limited countries. The available researches on anaemia focused on children, pregnant women, or all women of reproductive age. However, women's biology and life experiences vary dramatically across 15 to 49 years, putting young women bear the higher burden of anaemia, mainly in low and middle income countries (LMICs). Therefore, this study assessed the burden of anaemia among young women (15-24 years) in 24 LMICs which conducted Demographic and Health Surveys (DHS) between 2016 and 2021.

METHOD

Data analysis was carried out with STATA version 14. The forest plot was used to explore the pooled prevalence of anaemia. Multilevel binary logistic regression was fitted to accommodate the hierarchical nature of the DHS data. Accordingly, a model with lowest deviance (model III) was the best-fitted model. All variables with a p-value ≤ 0.2 in the bi-variable analysis were fitted in the multi-level multivariable model. Adjusted odds ratio with 95% CI and p < 0.05 were presented to declare statistical significance.

RESULT

The pooled prevalence of anaemia among young (15-24 years) women in 24 LMICs was 41.58% (95%CI: 34.51, 48.65). Country wise, Mali (62.95%) and Rwanda (14.13%) constitute the highest and lowest prevalence of anaemia. In this study, young women who lived in the poorest wealth status, had no education, were underweight, perceived distance to the health facility a big problem, larger family size, and women who had ever terminated pregnancy were associated with increased odds of anaemia. Whereas, young women who were overweight and not breast feeding had decreased odds of anaemia.

CONCLUSION

The unacceptably high burden of anaemia among young women setbacks the SDG target; to end all forms of malnutrition by 2030. Therefore, it is highly recommended to take relevant interventions to reduce the burden of anaemia targeted the young women who are uneducated, have low socio-economic status, limited access to health facilities, and lived in larger family size.

Magnitude and predictors of anemia among preschool children (36-59 months) in Atingo town, Jimma, Ethiopia

Introduction

Anemia is a serious public health concern that affects more than 25% of the world's population. It is still widespread and at its most severe in Ethiopia. This study pointed to identify the magnitude and predictors of anemia in preschool children in Atinago.

Method

A structured interview and anthropometric metrics had been used in a cross-sectional study to collect data from 309 preschool children using a systematic sampling strategy from May 10 to June 25, 2022. Frequencies, percentages, means, and a bar chart were created as descriptive statistics. Factors that were significant at the 25% level in univariate analysis were run through multiple logistic models. Odds ratios with respective 95% confidence intervals were developed to determine the relevant predictors.

Result

The majority (51.7%) of preschool children in Atinago town had anemia. The finding reveals that poor dietary diversity (adjusted odds ratio [AOR] = 1.77, 95% confidence interval [CI] = 1.02-3.07), children from families with food insecurity (AOR = 2.28, 95% CI = 1.31-3.9), child-mothers used iron folate for less than 3 months during pregnancy (AOR = 1.93, 95% CI = 1.07-3.48), households with more than five children (AOR = 1.880, 95% CI = 1.12-3.18), and stunted children (AOR = 1.78, 95% CI = 1.05-3.01) were highly susceptible to anemia.

Conclusion

The findings indicate that anemia was a serious issue among preschool children in Atinago. Therefore, stakeholders should provide community-based nutrition training on consuming diverse diets, dietary improvements in the home, consuming iron-rich meals, and the like; encourage mothers to participate in early ANC follow-up; and strengthen activities aimed at identifying households with food insecurity status.

Environmental Enteropathy and Anaemia Status Among Under-Five Children, in Slum Areas of Jimma Town, Ethiopia

Background

The most important anemia next to iron deficiency is anemia of inflammation. Micronutrient deficits, such as those in zinc and iron, can be caused by intestinal permeability and gut inflammation brought on by environmental enteric dysfunction. This study was aimed to evaluate the prevalence and association of anemia with Environmental Enteropathy.

Methods

Data on water sanitation and hygiene indicators and sociodemographic characteristics were collected using structured questionnaire. The lactulose to mannitol ratio (L:M) was calculated from the concentration of both sugars in the urine. Level of Hemoglobin was detected by using Hemocue-301 digital photometer. Blood and urine sample was collected from three hundred children aged 12-59 months to determine the status of Anaemia and Environmental Enteropathy respectively.

Results

Data were analyzed by using Descriptive statistics, cross-tabulation, and logistic regression model to indicate prevalence and association of anemia with environmental Enteropathy in children less than five years old. The prevalence of anemia in children with environmental enteropathy was 63.8% (95% CI: 57.6, 71.7), and there was a significant association (p = 0.0001, AOR 3.502, 95% CI: 1.929-6.371) between anemia and environmental enteropathy. In a multivariate analysis, children aged 1-3 years with caretakers who had no or only primary education and with monthly income of less than 3000 ETB were more likely to develop anemia.

Conclusion

The result of this study indicated that two-thirds of children less than five with environmental enteropathy had developed anemia, and there is a significant association between environmental enteropathy and anemia. Even though there are other causes of anemia, based on the findings of this study, more research is needed to identify factors associated with environmental enteropathy to mitigate anemia due to intestinal permeability or malabsorption and its impact in children under the age of five.

Assessment of anemia and associated risk factors among children under-five years old in the West Guji Zone, southern Ethiopia: Hospital-based cross-sectional study

Background

Anemia adversely affects children’s mental, physical and social development, particularly in Africa. In the early stages of life, it leads to severe negative consequences on the cognitive, growth and development of children.

Objective

This study aimed to assess anemia and associated risk factors among children under-five years old in the West Guji Zone, southern Ethiopia, from October to November 2020.

Method

A hospital-based quantitative cross-sectional study was conducted at Bule Hora General Hospital, Southern Ethiopia. A convenience sampling technique was used to include 375 under-five children enrolled in the study. The pretested structure questionnaire was used to collect socioeconomic and demographic characteristics of study individuals after taking appropriate written informed consent. Then, a venous blood sample was collected from each child and analyzed for hemoglobin determination using a Midray BC 3000 Plus machine. Binary logistic regression models were used to identify associated factors of anemia. A p-value ≤ 0.05 was considered statistically significant.

Result

The overall prevalence of anemia among under-five children was 13.2% (50) [95% CI = 5.2–21.2%]. Among anemic children under-five years of age, 12% (6) had mild anemia, 32% (16) had moderate anemia and 56% (28) had severe anemia. In this study, anemia was significantly associated with a history of intestinal protozoan infection [AOR = 2.55, 95% CI = 1.28–10.42], malaria infection [AOR = 5.01, 95% CI = 0.18–11.44] and soil-transmitted helminths infection [AOR = 6.39, 95% CI = 1.75–29.08].

Conclusion

The prevalence of anemia among under-five children was found to be low in the study area; however, the majority of anemic children were in a severe stage. It could be managed by preventing malaria infection, intestinal protozoa and soil-transmitted helminthic infection.

Prevalence and outcome of anemia among children hospitalized for pneumonia and their risk of mortality in a developing country

Data are limited on the prevalence and outcome of anemia and its risk on mortality among children under five years of age hospitalized for pneumonia/severe pneumonia. Thus, we conducted a secondary analysis of data extracted from Dhaka Hospital of International Centre for Diarrhoeal Disease Research, Bangladesh to address the evidence gap. Among 3468 children fulfilling the study criteria,1712 (49.4%) had anemia. If children aged ≤ 1.0, > 1.0 to 2.0, > 2.0 to < 6.0, and ≥ 6.0 to 59 months had blood hemoglobin (Hb) value of ≤ 10.7 g/dL, ≤ 9.4 g/dL, ≤ 9.5 g/dL, and ≤ 11 g/dl respectively; we considered them anemic. The trend of prevalence of anemia was found to be inversely related to increasing age (Chi-square for linear trend analysis was done to understand the relation of anemia with increasing age, which was = 6.96; p = 0.008). During hospitalization anemic children more often developed respiratory failure (7.2% vs. 4.4%, p < 0.001) and fatal outcome (7.1.0% vs. 4.2%, p < 0.001) than the children who did not have anemia. After adjusting for potential confounders, such as female sex, lack of immunization, abnormal mental status, severe acute malnutrition, dehydration, hypoxemia, severe sepsis, and bacteremia using multivariable logistic regression analysis, anemia was found to be independently associated with fatal outcome (OR = 1.88, 95% CI 1.23–2.89, p = 0.004). Thus, future interventional studies on the early management of anemia may be warranted to understand whether the intervention reduces the morbidity and deaths in such children.