Anaemia prevalence and determinants in under 5 years children: findings of a cross-sectional population-based study in Sudan

Maternal Anemia as a Predictor of Childhood Anemia: Evidence from Gambian Health Data

BACKGROUND

Iron deficiency anemia (IDA) is a significant global health problem affecting close to 2 billion people worldwide. The prevalence of IDA is higher among children younger than five years and women of reproductive age, indicating an intergenerational correlation between maternal and child anemia. This study aims to analyze the association between maternal and child anemia in The Gambia.

METHODS

A nationally representative dataset comprising 3249 children under the age of five, obtained from The Gambia Demographic and Health Survey (2019-2020), was utilized for empirical analyses. Multivariate linear regression models were employed to assess the association between maternal and child anemia. The multivariate models were adjusted for various confounding variables, including birth order, age, and the gender of the child, as well as maternal education, religion, wealth quintiles, rural residence, and region-fixed effects.

RESULTS

Fifty-three percent of children and 52% of mothers are anemic. Children from poorer households show a higher rate of anemia compared to those from wealthier households. Maternal anemia was significantly associated with the anemia status of the children. Children born to anemic mothers were 13.5% more likely to be also anemic (p < 0.001). The correlation coefficient between mother and child hemoglobin levels is 0.165 (p < 0.001). The correlation coefficient between maternal and child anemia is higher among the bottom three wealth quintiles than the top two wealth quintiles.

CONCLUSIONS

The significant intergenerational association between maternal and child anemia status highlights the need for targeted, multi-pronged strategies to combat the adverse impacts of anemia. Maternal anemia, in general, appears to influence childhood anemia beyond just the pregnancy period. Shared socioeconomic environment, dietary patterns, and exposure to infections likely contribute to this intergenerational association.

Prevalence and contributors to anaemia among children aged 6 to 59 months in Kyangwali Refugee settlement, Western Uganda: a cross-sectional study

BACKGROUND

Anaemia is a major cause of morbidity among children under five years in Uganda. However, its magnitude among refugee populations is marginally documented. In this study, the prevalence and contributors to anaemia among children 6 to 59 months in Kyangwali refugee settlement in Western Uganda was determined.

METHODS

This was a cross-sectional study that was carried out among 415 mother- child dyads at Kwangwali refugee settlement. Anaemia was determined by measuring haemoglobin concentration using the HaemoCue method, while nutritional status was examined using standard World Health Organisation (WHO) nutritional indices. Data abstraction forms, pretested questionnaires and face to face interviews were used to collect patient data. Associations between the independent variables and anaemia were examined using modified Poisson regression with robust standard errors. In all statistical tests, a P- value of < 0.05 was considered as significant.

RESULTS

The proportion of children with anaemia was 49.2% (95% CI: 44.4-53.9). Anaemia was 1.4 times (95% CI = 1.13-1.82; p = 0.003) more prevalent among wasted children than the normal children. The prevalence of anaemia was also higher among underweight children than those with normal weight (aPR = 1.37, 95% CI = 1.11-1.70; p = 0.004). Additionally, the prevalence of anaemia was higher among children of birth order of 6 or above (aPR = 2.00, 95% CI = 1.22-3.29; p = 0.006), while anaemia prevalence was lower among children whose mothers' had attained secondary level of education (aPR = 0.19, CI = 0.04-0.98; p = 0.048) and those who fed on fish (aPR = 0.75, 95% CI = 0.57-0.99; p = 0.039) and meals prepared with oils and fats (aPR = 0.70, 95% CI = 0.51-0.97; p = 0.029). There was no significant relationship between anaemia occurrence and the household dietary diversity score.

CONCLUSIONS

About half of the study children were found to be anaemic. The most significant contributors to anaemia in the study population were malnutrition, maternal education, feeding practices and birth order. The study findings suggest need of screening of children for anaemia at all nutritional clinics, promotion of education, addressing barriers to sustainable food supply and accessibility of nutrient-dense foods, treating anaemia in children alongside other micronutrient deficiencies and addressing the nutritional needs of multiparous mothers in refugee communities.

Under-5 Malaria and Fever Morbidities as Correlates of Anaemia in Niger: A Heteroscedasticity-Consistent Ordered Probit Approach

Background: The relationship between malaria/other febrile infections and anaemia among under-5 children is a subject of significant policy relevance among African health policy makers. The international significance of addressing anaemia is prominently underscored in the third Sustainable Development Goal (SDG). This paper therefore analysed the effect of malaria/other febrile infections and other maternal and child's demographic variables on the prevalence of anaemia in Niger. Methods: We utilized the under-5 children's module of the Malaria Indicator Survey (MIS) for 2021, which was collected from women of reproductive age (15-49) in selected households. The data were analysed with heteroscedasticity-consistent ordered probit regression model. Results: The results showed that 73.73% of the children was anaemic, while malaria and other febrile infections were present in 14.00% and 33.87%, respectively. Anaemia was highest in the Tillaberi and Dosso regions, where 84.12% and 79.12% of the children were anaemic. The ordered probit regression revealed that anaemia was promoted by malaria, other febrile infections, being a male child, second of multiple birth, and birth order, while wealth index, age, urban residence, and access to newspaper and television reduced it. Conclusions: Anaemia remains a major public health problem among under-5 children in Niger. A comprehensive healthcare intervention to address the problem should consider regional, sectoral, and gender differences in the incidences, with drastic efforts towards prevention of malaria and other fever-inducing illnesses. In addition, interventions to promote households' economic status, reduce maternal fertility, and facilitate preventive practices through nutrition enhancement and health-related media programs hold some promise.

Prevalence and classification of anemia among children in Sudan: a systematic review and meta-analysis

Anemia remains a significant public health concern, particularly in developing countries like Sudan, where children are particularly vulnerable to its associated health implications. This study aimed to systematically assess the prevalence of anemia among Sudanese children. We conducted a comprehensive literature search in August 2021 and updated it in December 2022 to identify studies on anemia among Sudanese children. We searched databases including PubMed, Scopus, Science Direct, and Google Scholar. Studies eligible for inclusion in this systematic review and meta-analysis (SRMA) reported data to calculate anemia prevalence in children using WHO criteria. We performed meta-analysis using R software with metaprop and metafor packages. Using a random effects model, we estimated the pooled prevalence of anemia among 8006 Sudanese children to be 53.5% (95% CI, 36.6-70.4%). Subgroup analysis revealed that 62.7% of the children had unclassified anemia, 39.1% had iron deficiency anemia, and 8.7% had sickle cell anemia. Over a 21-year period, childhood anemia in Sudan showed an increasing trend, rising from 40.7% (1999-2009) to 55.1% (2010-2015) and 58.1% (2016-2020). The findings indicate a significantly higher prevalence of anemia among Sudanese children compared to many other countries, highlighting the need for proactive measures to prevent and control anemia in this population.

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.

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.

A cross-sectional analysis of ambient fine particulate matter (PM2.5) exposure and haemoglobin levels in children aged under 5 years living in 36 countries

Low haemoglobin (Hb) concentrations and anaemia in children have adverse effects on development and functioning, some of which may have consequences in later life. Exposure to ambient air pollution is reported to be associated with anaemia, but there is little evidence specific to low- and middle-income countries (LMICs), where childhood anaemia prevalence is greatest. We aimed to determine if long-term ambient fine particulate matter (≤2.5 μm in aerodynamic diameter [PM_2.5]) exposure was associated with Hb levels and the prevalence of anaemia in children aged <5 years living in 36 LMICs. We used Demographic and Health Survey data, collected between 2010 and 2019, which included blood Hb measurements. Satellite-derived estimates of annual average PM_2.5 was the main exposure variable, which was linked to children's area of residence. Anaemia was defined according to standard World Health Organization guidelines (Hb < 11 g/dL). The association of PM_2.5 with Hb levels and anaemia prevalence was examined using multivariable linear and logistic regression models, respectively. We examined whether the effects of ambient PM_2.5 were modified by a child's sex and age, household wealth index, and urban/rural place of residence. Models were adjusted for relevant covariates, including other outdoor pollutants and household cooking fuel. The study included 154,443 children, of which 89,904 (58.2%) were anaemic. The country-level prevalence of anaemia ranged from 15.8% to 87.9%. Mean PM_2.5 exposure was 33.0 (±21.6) μg/m³. The adjusted model showed that a 10 μg/m³ increase in annual PM_2.5 concentration was associated with greater odds of anaemia (OR = 1.098 95% CI: 1.087, 1.109). The same increase in PM_2.5 was associated with a decrease in average Hb levels of 0.075 g/dL (95% CI: 0.081, 0.068). There was evidence of effect modification by household wealth index and place of residence, with greater adverse effects in children from lower wealth quintiles and children in rural areas. Exposure to annual PM_2.5 was cross-sectionally associated with decreased blood Hb levels, and greater risk of anaemia, in children aged <5 years living in 36 LMICs.

Anemia and associated factors among 6 to 59 months age children attending health facilities in Kombolcha town, Northeast Ethiopia: a facility-based cross-sectional study

BACKGROUND

Childhood anemia is an important public health problem in Ethiopia. The northeast part of the country is among the areas affected by recurrent drought. Despite its significance, studies are scarce on childhood anemia particularly, in the study area. This study aimed to assess the proportion and factors associated with anemia among under-five children in Kombolcha town.

METHODS

A facility-based cross-sectional study was conducted among 409 systematically selected 6 to 59 months aged children visited health institutions in Kombolcha town. Data were collected using structured questionnaires from mothers/caretakers. The data entry and analysis were done using EpiData version 3.1 and SPSS version 26 respectively. Binary logistic regression was fitted to identify factors associated with anemia. Statistical significance was declared at p-value ≤ 0.05. The effect size was reported using the adjusted odds ratio with its 95% confidence interval.

RESULTS

Of the participants, 213(53.9%) were males with a mean age of 26 months (SD ± 15.2). The proportion of anemia was 52.2% (95% CI, 46.8-57%). Being in the age of 6-11 months (AOR = 6.23, 95% CI: 2.44, 15.95), 12-23 months (AOR = 3.74, 95%CI: 1.63, 8.60), having low dietary diversity score (AOR = 2.61, 95% CI: 1.55, 4.38), having a history of diarrhea (AOR = 1.87, 95% CI: 1.12, 3.12) and having the lowest family monthly income (AOR = 16.97, 95% CI: 4.95, 58.20) were positively associated with anemia. Whereas, maternal age ≥ 30 years (AOR = 0.37 (0.18, 0.77) and exclusive breastfeeding until six months (AOR = 0.27, 95% CI: 0.16, 0.45) were negatively associated with anemia.

CONCLUSIONS

Childhood anemia was a public health problem in the study area. Child age, maternal age, exclusive breastfeeding, dietary diversity score, diarrhea, and family income were significantly associated with anemia.

Prevalence and factors related to anaemia in children aged 6-59 months attending a quaternary health facility in Maputo, Mozambique

Globally, anaemia prevails as a public health issue, being also a concern in Mozambique, where about two-thirds of children 6-59 months of age are affected by this condition. We carried out this study to estimate anaemia prevalence and evaluate structural determinants and haematological parameters association among children aged 6-59 months attending pediatric inpatient and outpatient services in a Quaternary Health Facility in Maputo City Province, Mozambique. We collected data from 637 inpatients or outpatients who attended pediatric consultations at the Maputo Central Hospital. The overall rate of anaemia in children aged 6-59 months was 62.2% (396/637), with 30.9% moderate anaemia (197/637), 23.9% mild anaemia (152/637), and 7.4% severe anaemia (47/637). Among our study participants, critical factors for anaemia were those concerning the age group, child´s caregiver schooling, malaria and size of the liver.

Impact of malaria control interventions on malaria infection and anaemia in low malaria transmission settings: a cross-sectional population-based study in Sudan

BACKGROUND

The past two decades were associated with innovation and strengthening of malaria control interventions, which have been increasingly adopted at large scale. Impact evaluations of these interventions were mostly performed in moderate or high malaria transmission areas. This study aimed to evaluate the use and performance of malaria interventions in low transmission areas on malaria infections and anaemia.

METHODS

Data from the 2016 Sudan malaria indicator survey was used. Multi-level logistic regression analysis was used to assess the strength of association between real-life community-level utilization of malaria interventions [diagnosis, artemisinin-based combination therapies (ACTs) and long-lasting insecticidal nets (LLINs)] and the study outcomes: malaria infections and anaemia (both overall and moderate-to-severe anaemia).

RESULTS

The study analysis involved 26,469 individuals over 242 clusters. Malaria infection rate was 7.6%, overall anaemia prevalence was 47.5% and moderate-to-severe anaemia prevalence was 4.5%. The average community-level utilization was 31.5% for malaria diagnosis, 29.9% for ACTs and 35.7% for LLINs. The odds of malaria infection was significantly reduced by 14% for each 10% increase in the utilization of malaria diagnosis (adjusted odds ratio (aOR) per 10% utilization 0.86, 95% CI 0.78-0.95, p = 0.004). However, the odds of infection was positively associated with the utilization of LLINs at community-level (aOR per 10% utilization 1.20, 95% CI 1.11-1.29, p < 0.001). No association between malaria infection and utilization of ACTs was identified (aOR per 10% utilization 0.97, 95% CI 0.91-1.04, p = 0.413). None of the interventions was associated with overall anaemia nor moderate-to-severe anaemia.

CONCLUSION

There was strong evidence that utilization of malaria diagnosis at the community level was highly protective against malaria infection. No protective effect was seen for community utilization of ACTs or LLINs. No association was established between any of the interventions and overall anaemia or moderate-to-severe anaemia. This lack of effectiveness could be due to the low utilization of interventions or the low level of malaria transmission in the study area. Identification and response to barriers of access and low utilization of malaria interventions are crucial. It is crucial to ensure that every suspected malaria case is tested in a timely way, notably in low transmission settings.

Impact of malaria control interventions on malaria infection and anaemia in areas with irrigated schemes: a cross-sectional population-based study in Sudan

Background

While the overall burden of malaria is still high, the global technical strategy for malaria advocates for two sets of interventions: vector control-based prevention and diagnosis and prompt effective treatment of malaria cases. This study aimed to assess the performance of malaria interventions on malaria infection and anaemia in irrigated areas in Sudan.

Methods

Based on the Sudan 2016 national malaria indicator survey, data for two states (Gezira and Sennar), characterized by large-irrigated schemes, were analysed. Four community-level malaria interventions were used as contextual variables: utilization of malaria diagnosis, utilization of Artemisinin-based combination therapy (ACT), utilization of long-lasting insecticidal nets (LLINs) and coverage with indoor residual spraying (IRS). Association between these interventions and two outcomes: malaria infection and anaemia, was assessed separately. Malaria infection was assessed in all age groups while anaemia was assessed in children under 5 years. Multilevel multiple logistic regression analysis were conducted.

Results

Among 4478 individuals involved in this study distributed over 47 clusters, the overall malaria infection rate was 3.0% and 56.5% of the children under 5 years (total = 322) were anaemic. Except for IRS coverage (69.6%), the average utilization of interventions was relatively low: 52.3% for utilization of diagnosis, 33.0% for utilization of ACTs and 18.6% for LLINs utilization. The multi-level multiple logistic regression model showed that only IRS coverage was associated with malaria infection (Odds ratio 0.83 per 10% coverage, 95%Confidence Interval (95%CI) 0.74–0.94, p = 0.003) indicating that a higher level of IRS coverage was associated with less malaria infection. Anaemia was not associated with any intervention (all p values larger than 0.1).

Conclusions

Malaria transmission in Gezira and Sennar areas is low. IRS, with insecticide to which vectors are susceptible, is an effective malaria control intervention in irrigated schemes. Community utilization of other interventions was not associated with malaria infection in this study. This may be due to the low utilization of these interventions. However, individual use of LLINs provide personal protection. This study failed to establish an association between anaemia and malaria control interventions in low transmission areas. The higher level of malaria infection in urban areas is a cause for concern.