Prevalence and risk factors of anemia among children 6–59 months in India: A multilevel analysis

The effect of dietary diversity on anemia levels among children 6-23 months in sub-Saharan Africa: A multilevel ordinal logistic regression model

BACKGROUND

Anemia is the most common hematologic disorder of children worldwide. Since dietary diversity is a main requirement of children is to get all the essential nutrients, it can thus use as one of the basic indicator when assessing the child's anemia. Although dietary diversity plays a major role in anemia among children in sub-Saharan Africa, there is little evidence of an association between the dietary diversity and anemia level to identified potential strategies for prevention of anemia level in sub-Saharan Africa.

OBJECTIVE

To examine the association between dietary diversity and anemia levels among children aged 6-23 months in sub-Saharan Africa.

METHODS

The most recent Demographic and Health Surveys from 32 countries in SSA were considered for this study, which used pooled data from those surveys. In this study, a total weighted sample of 52,180 children aged 6-23 months was included. The diversity of the diet given to children was assessed using the minimum dietary diversity (MDD), which considers only four of the seven food groups. A multilevel ordinal logistic regression model was applied due to the DHS data's hierarchical structure and the ordinal nature of anemia. With a p-value of 0.08, the Brant test found that the proportional odds assumption was satisfied. In addition, model comparisons were done using deviance. In the bi-variable analysis, variables having a p-value ≤0.2 were taken into account for multivariable analysis. The Adjusted Odds Ratio (AOR) with 95% Confidence Interval (CI) was presented for potential determinants of levels of anemia in the multivariable multilevel proportional odds model.

RESULTS

The overall prevalence of minimum dietary diversity and anemia among children aged 6-23 months were 43% [95% CI: 42.6%, 43.4%] and 72.0% [95% CI: 70.9%, 72.9%] respectively. Of which, 26.2% had mild anemia, 43.4% had moderate anemia, and 2.4% had severe anemia. MDD, being female child, being 18-23 months age, born from mothers aged ≥25, taking drugs for the intestinal parasite, higher level of maternal education, number of ANC visits, middle and richer household wealth status, distance of health facility and being born in Central and Southern Africa were significantly associated with the lower odds of levels of anemia. Contrarily, being 9-11- and 12-17-months age, size of child, having fever and diarrhea in the last two weeks, higher birth order, stunting, wasting, and underweight and being in West Africa were significantly associated with higher odds of levels of anemia.

CONCLUSION

Anemia was a significant public health issue among children aged 6-23 months in sub-Saharan Africa. Minimum dietary diversity intake is associated with reduced anemia in children aged 6 to 23 months in sub-Saharan Africa. Children should be fed a variety of foods to improve their anemia status. Reducing anemia in children aged 6-23 months can be achieved by raising mother education levels, treating febrile illnesses, and improve the family's financial situation. Finally, iron fortification or vitamin supplementation could help to better reduce the risk of anemia and raise children's hemoglobin levels in order to treat anemia.

Determinants of normal haemoglobin concentration among under-five children in Sub-Saharan Africa: a Positive deviance inquiry using cross-sectional study design

BACKGROUND

Low haemoglobin level in children is linked with short-term and long-term consequences including developmental delay. Globally, over half of the children under the age of five years had low haemoglobin concentration. However, there is limited research on the prevalence and determinants of normal haemoglobin concentration among under-five children in sub-Saharan Africa.

OBJECTIVE

To assess determinants of normal haemoglobin concentration among under-five children in SSA.

DESIGN

Cross-sectional study design using a positive deviance approach SETTING: 33 SSA countries.

PARTICIPANTS

129 408 children aged 6-59 months PRIMARY AND SECONDARY OUTCOME MEASURES: A multilevel Poisson regression model with robust variance was fitted to identify determinants of normal haemoglobin concentration. An adjusted prevalence ratio with a 95% CI was reported to declare the statistical significance.

RESULT

The pooled prevalence of normal haemoglobin concentration among under-five children in SSA was 34.9% (95% CI: 34.6% to 35.1%). High maternal education, middle and rich household wealth, female child, frequent antenatal care visits, non-anaemic mothers, taking anthelmintic drugs and normal nutritional status were associated with increased odds of normal haemoglobin concentration. On the other hand, higher birth order, having fever and diarrhoea, rural residence were associated with lower odds of normal haemoglobin levels.

CONCLUSION

According to our finding, only four out of 10 under-five children in SSA had a normal haemoglobin level. This finding proved that anaemia among children in SSA remains a serious public health concern. Therefore, improving maternal education, provision of drugs for an intestinal parasite and early detection and treatment of maternal anaemia, febrile illness and diarrhoeal disease is important.

The association between the severity of anemia and socio-demographic factors among children under five years of age in Kut City

Background

Anemia is a public health issue that affects both industrialized and developing nations. Childhood anemia has severe consequences, including reduced growth, poor motor and cognitive development, and increased death and morbidity.

Objective

This study aims to determine sociodemographic factors associated with the severity of anemia among under-five children in Kut City.

Methods

A cross-sectional study with a convenience sample (non-probability) was conducted among 264 children admitted to hospitals in Kut City, from September 1st, 2022, to March 1st, 2023. Data were collected via questionnaires, and descriptive and inferential statistics were used to evaluate the data.

Results

The total number of children participating in the study was 264, with 39.0% having mild anemia and 60.0% having moderate anemia, according to the World Health Organization classification of anemia. The results showed that the children most at risk of developing anemia were within 4 years of age and had a lower mean hemoglobin level than the rest of the age groups of the children participating in the study, compared to the mean+standard deviation (SD) (9.46+0.99). Boys are more affected than girls, and those who reside in rural areas have lower hemoglobin (HB) percentages with a mean+SD of (9.21+0.93). Unemployed mothers who read and write had the lowest HB percentage. In contrast, parents with primary education and government jobs have the lowest percentage of HB. Children of married mothers are more affected by anemia. Families with high overcrowding showed the lowest rate of HB. They experienced low socioeconomic status as a result. The degree of anemia was significantly correlated with the child's age, residence, mother's educational level, father's job, and socioeconomic position.

Conclusion

This study concludes a significant association between the severity of anemia and sociodemographic factors, both unmodifiable (age) and modifiable (residence, mothers' education, fathers' jobs, and economic and social status). Children with modifiable risk factors need to have their anemia risk constantly evaluated.

Prevalence and Risk Factors for Iron Deficiency Anemia among Children under Five and Women of Reproductive Age in Pakistan: Findings from the National Nutrition Survey 2018

INTRODUCTION

Anemia remains a global public health problem, especially in developing countries. It affects primarily children under five (CU5), women of reproductive age (WRA), and pregnant women due to their higher need for iron. The most common form of anemia is iron-deficiency anemia (IDA). IDA is estimated to cause half of all anemia cases and one million deaths per year worldwide. However, there remains a lack of well-documented and biochemically assessed prevalence of IDA based on the representative population-based samples globally and regionally. In this study, we aimed to assess the National Nutrition Survey (NNS) 2018 to identify the prevalence and risk factors of IDA in Pakistani CU5 and WRA.

METHODS

Secondary analysis was conducted on the NNS 2018, a cross-sectional survey, which collected data on dietary practices, malnutrition, and food insecurity. Anemia was defined as hemoglobin levels < 11.0 g/dL in children and 12.0 g/dL in women. IDA was defined as low hemoglobin and low ferritin (<12 ng/mL) levels, adjusted for inflammation using AGP and CRP biomarkers in CU5 and WRA. Univariate and multivariable logistic regressions were conducted using Stata statistical software (version 16). We also compared the IDA rates of NNS 2018 and 2011.

RESULTS

A total of 17,814 CU5 and 22,114 WRA were included in the analysis. Of the CU5, 28.9% had IDA, while 18.4% of WRA reported to experience IDA. Among the CU5, IDA was most prevalent among male children aged 6-23 months living in rural areas and with the presence of diarrhea and fevers in the last 2 weeks. Children whose mothers had no education, were aged 20-34 years, and employed, had a higher prevalence of IDA. Married WRA, who are employed, living in rural areas, and with no education, had a higher prevalence of IDA. In the multivariable logistic regression, children aged 6-23 months (AOR = 1.19, 95% CI [1.08-1.33], p < 0.001) and with the presence of diarrhea in the last 2 weeks (AOR = 1.32, 95% CI [1.13-1.54], p < 0.001) or fever (AOR = 1.16, 95% CI [1.02-1.32], p = 0.02) had higher odds of IDA. At the household level, the odds of IDA among CU5 were higher in the poorest households (AOR = 1.27, 95% CI [1.08-1.50], p = 0.005), with ≥5 CU5 (AOR = 1.99, 95% CI [1.28-3.11], p = 0.002), and with no access to improved sanitation facilities (AOR = 1.17, 95% CI [1.02-1.34], p = 0.026). For WRA, the multivariable logistic regression found that the odds of IDA were higher among women with vitamin A deficiency (Severe: AOR = 1.26, 95% CI [1.05-1.52], p = 0.013; Mild: AOR = 1.36, 95% CI [1.23-1.51], p < 0.001), zinc deficiency (AOR = 1.42, 95% CI [1.28-1.57], p < 0.001), no education (AOR = 1.53, 95% CI [1.30-1.81], p < 0.001), and from severely food insecure households (AOR = 1.20, 95% CI [1.07-1.34], p = 0.001). The odds of IDA were lower among women whose body mass index was overweight (AOR = 0.77, 95% CI [0.69-0.86], p < 0.001) or obese (AOR = 0.71, 95% CI [0.62-0.81], p < 0.001).

CONCLUSIONS

The child's age, presence of diarrhea or fever, place of residence, household size, wealth status, and access to sanitation facilities were significantly associated with IDA among CU5 in Pakistan. For WRA, education, body mass index, vitamin A and zinc status, household food security status, wealth status, and access to sanitation facilities were significantly associated with IDA. Large, well-established, government-funded programmes focused on micronutrient supplementation, food fortification, the diversification of food supplies, and the treatment and prevention of infectious and parasitic diseases are needed to prevent IDA and all forms of anemia among children and women in Pakistan.

Factors associated with anemia among children in South and Southeast Asia: a multilevel analysis

BACKGROUND

South and Southeast Asian countries (SSEA) account for the highest burden of anemia globally, nonetheless, progress towards the decline of anemia has almost been stalled. This study aimed to explore the individual and community- level factors associated with childhood anemia across the six selected SSEA countries.

METHODS

Demographic and Health Surveys of SSEA countries (Bangladesh, Cambodia, India, Maldives, Myanmar, and Nepal) conducted between 2011 and 2016 were analyzed. A total of 167,017 children aged 6-59 months were included in the analysis. Multivariable multilevel logistic regression analysis was used to identify independent predictors of anemia.

RESULTS

The combined prevalence of childhood anemia across six SSEA countries was 57.3% (95% CI: 56.9-57.7%). At the individual level, childhood anemia was significantly higher among (1) mothers with anemia compared to non-anemic mothers (Bangladesh: aOR = 1.66, Cambodia: aOR = 1.56, India: aOR = 1.62, Maldives: aOR = 1.44, Myanmar: aOR = 1.59, and Nepal: aOR = 1.71); (2) children with a history of fever in the last two weeks compared to those without a history of fever (Cambodia: aOR = 1.29, India: aOR = 1.03, Myanmar: aOR = 1.08), and; (3) stunted children compared to those who were not (Bangladesh: aOR = 1.33, Cambodia: aOR = 1.42, India: aOR = 1.29, and Nepal: aOR = 1.27). In terms of community-level factors, children with mothers in communities with a high percentage of community maternal anemia had higher odds of childhood anemia in all countries (Bangladesh: aOR = 1.21, Cambodia: aOR = 1.31, India: aOR = 1.72, Maldives: aOR = 1.35, Myanmar: aOR = 1.33, and Nepal: aOR = 1.72).

CONCLUSION

Children with anemic mothers and stunted growth were found vulnerable to developing childhood anemia. Individual and community-level factors identified in this study can be considered to develop effective anemia control and prevention strategies.

Individual-and community-level factors associated with anemia among children aged 6–23 months in sub-Saharan Africa: evidence from 32 sub-Saharan African countries

Background

Anemia among children aged 6–23 months is a major public health problem worldwide specifically in sub-Saharan Africa (SSA). Anemia during the childhood period causes significant short-and long-term health consequences. However, there is a paucity of evidence on Anemia among children aged 6–23 months in SSA. Therefore, this study examined the individual- and community-level factors associated with anemia among children aged 6–23 months in sub-Saharan Africa.

Methods

A secondary data analysis was done based on the most recent Demographic and Health Survey (DHS) of 32 sub-Saharan African countries. A total weighted sample of 51,044 children aged 6–23 months was included for analysis. We have used a multilevel proportional odds model to identify predictors of severity levels of anemia. Variables with p < 0.2 in the bivariable analysis were considered for the multivariable analysis. In the multivariable multilevel proportional odds model, the Adjusted Odds Ratio (AOR) with the 95% Confidence Interval (CI) was reported to declare the statistical significance and strength of the association.

Results

In this study, about 76.6% (95% CI: 76.2%, 76.9%) of children aged 6–23 months in sub-Saharan Africa were anemic. In the multivariable multilevel proportional odds model, being female, being aged 18–23 months, higher level of maternal education, being larger size at birth, belonging to a wealthier household, getting four ANC visits and above, advanced maternal age, and belonging to a community with high maternal education were significantly associated with lower odds of higher levels of anemia. On the other hand, being twin birth, being smaller size at birth, being of a higher order of birth, having fever in the last two weeks, and distance to a health facility were significantly associated with higher odds of higher levels of anemia.

Conclusion

The study found that more than three-fourths of children aged 6–23 months in sub-Saharan Africa were anemic. This finding proved that the severity levels of anemia among children in sub-Saharan Africa remain a serious public health concern. Therefore, to curve this problem enhancing maternal education, promoting maternal health service utilization, and improving health care access is crucial. In addition, health care providers better give special emphasis to twin births, higher-order birth, and those belonging to poor households to reduce the incidence of anemia among children aged 6–23 months in SSA.

"Childhood Anemia in India: an application of a Bayesian geo-additive model"

Background

The geographical differences that cause anaemia can be partially explained by the variability in environmental factors, particularly nutrition and infections. The studies failed to explain the non-linear effect of the continuous covariates on childhood anaemia. The present paper aims to investigate the risk factors of childhood anaemia in India with focus on geographical spatial effect.

Methods

Geo-additive logistic regression models were fitted to the data to understand fixed as well as spatial effects of childhood anaemia. Logistic regression was fitted for the categorical variable with outcomes (anaemia (Hb < 11) and no anaemia (Hb ≥ 11)). Continuous covariates were modelled by the penalized spline and spatial effects were smoothed by the two-dimensional spline.

Results

At 95% posterior credible interval, the influence of unobserved factors on childhood anaemia is very strong in the Northern and Central part of India. However, most of the states in North Eastern part of India showed negative spatial effects. A U-shape non-linear relationship was observed between childhood anaemia and mother’s age. This indicates that mothers of young and old ages are more likely to have anaemic children; in particular mothers aged 15 years to about 25 years. Then the risk of childhood anaemia starts declining after the age of 25 years and it continues till the age of around 37 years, thereafter again starts increasing. Further, the non-linear effects of duration of breastfeeding on childhood anaemia show that the risk of childhood anaemia decreases till 29 months thereafter increases.

Conclusion

Strong evidence of residual spatial effect to childhood anaemia in India is observed. Government child health programme should gear up in treating childhood anaemia by focusing on known measurable factors such as mother’s education, mother’s anaemia status, family wealth status, child health (fever), stunting, underweight, and wasting which have been found to be significant in this study. Attention should also be given to effects of unknown or unmeasured factors to childhood anaemia at the community level. Special attention to unmeasurable factors should be focused in the states of central and northern India which have shown significant positive spatial effects.

Anaemia among mother-father-child pairs in India: examining co-existence of triple burden of anaemia in a family

BACKGROUND

Anaemia is a global health concern and is also a common comorbidity in multiple medical conditions. Very limited research is available examining anaemia among family members in India and across various countries. The present study aimed to examine the co-existence of the triple burden of anaemia among mother-father-child pairs in a family.

METHODS

The data utilized was from the National Family Health Survey conducted in 2015-16. The effective sample size for the study was 26,910 couples, along with children aged 6-59 months. The bivariate and binary logistic regression analysis were applied to assess the factors associated with family-level anaemia. In bivariate analysis, a chi-square test was performed to determine the association of socio-demographic factors with anaemic family.

RESULTS

More than half of the mothers (57.5%) and their children (58%), along with 10% of fathers, were found to be anaemic; however, the co-existence of triple burden of anaemia among mother-father-child pairs was 4.7% in the study. The likelihood of family-level anaemia was low when both the parents were educated [OR: 0.69, CI: 0.58-0.81], and it was high when both the parents were employed [OR: 1.40 CI: 1.10-1.80]. Families from the Scheduled Tribe had a 62% higher likelihood to suffer from anaemia [OR: 1.62, CI: 1.33-1.97].

CONCLUSIONS

The suggested interventions include early diagnosis, effective management, and treatment of anaemia. Moreover, adequate complementary feeding practices for children shall also be promoted. Parental education on nutrition is also required, and community interventions are needed to improve parental education on nutrition. At last, there is a need for greater policy and program attention to improving nutritional knowledge among mothers so as to tackle the triple burden of anaemia among mother-father-child pairs.