Predictors of undernutrition and anemia among children aged 6–24 months in a low-resourced setting of Ghana: a baseline survey

Determinants of coexistence of undernutrition and anemia among under-five children in Rwanda; evidence from 2019/20 demographic health survey: Application of bivariate binary logistic regression model

BACKGROUND

Undernutrition and anemia are significant public health issues among under-5 children, with potential long-term consequences for growth, development, and overall health. Thus, this study aims to conduct a bivariate binary logistic regression model by accounting for the possible dependency of childhood undernutrition and anemia.

METHODS

The data came from the DHS program's measurement. A total of 3,206 under-five children were involved in this study. A single composite index measure was calculated for stunting, wasting, and underweight using principal component analysis. A bivariate binary logistic regression model is used to assess the association between undernutrition and anemia given the effect of other predictors.

RESULTS

Among 3,206 under-five children considered in this study, 1482 (46.2%) and 658 (20.5%) children were agonized by anemia and undernutrition, respectively. In bivariate binary logistic regression model; Urban children [AOR = 0.751, 96% CI: 0.573-0.984; AOR = 0.663, 95% CI: 0.456-0.995] and anemic mothers [AOR = 1.160, 95% CI: 1.104-1.218; AOR = 1.663, 95% CI: 1.242-2.225] were significantly associated with both childhood anemia and undernutrition, respectively. Improved water sources [AOR = 0.681, 95% CI: 0.446-0.996], average-sized children [AOR = 0.567, 95% CI: 0.462-0.696], and diarrhea [AOR = 1.134, 95% CI: 1.120-2.792] were significantly associated with childhood anemia. Large-sized children [AOR = 0.882, 95% CI: 0.791-0.853] and those with fever [AOR = 1.152, 95% CI: 1.312-2.981] were significantly associated with under-five children's undernutrition.

CONCLUSION

The prevalence of both undernutrition and anemia among under-five-year-old children was high in Rwanda. The following determinants are statistically associated with both childhood undernutrition and anemia: place of residence; source of drinking water; maternal anemia; being a twin; birth size of children; diarrhea; fever; and child age. Anemia and nutritional deficiencies must be treated concurrently under one program, with evidence-based policies aimed at vulnerable populations.

Sex of household head and other household determinants of childhood anaemia among households in Ghana: regression analysis of the 2019 Malaria Indicator Survey

BACKGROUND

Childhood anaemia is still a major public health concern. Although the prevalence of anaemia among children under age five is reducing in Ghana, the severity level is still worsening. This study sought to examine and compare household factors affecting the anaemia status of children under age five living in male- and female-headed households in Ghana.

METHODS

The study used a weighted sample of 5,799 household heads from the 2019 Ghana Malaria Indicator Survey (GMIS). A binary logistic regression analysis was used to examine the effect of sex of household heads and other household factors on the anaemia status of children under the age of five in male- and female-headed households in Ghana. All analyses were conducted at the 95% confidence level.

RESULTS

The results showed that a higher proportion (83.0%) of children under age five are not anaemic in households in Ghana. However, the probability of a child being anaemic is higher in male-headed households (aOR = 1.28; C.I:1.08-1.51), in the poorest (aOR = 2.41; CI: 1.59-3.65), poorer (aOR = 2.04; C.I:1.41-2.94) and middle (aOR = 1.78; C.I:1.29-2.46) household wealth category. Higher likelihood of anaemia was found among children in households that used charcoal (aOR = 1.51; C.I:1.15-1.99) and fuelwood (aOR = 1.44; C.I:1.02-2.02) for cooking. Similarly, there is a high probability of childhood anaemia in households with 5-10 members (aOR = 4.49; C.I: 3.78-5.34), 11 or more members (aOR = 7.21; C.I: 4.60-11.31) and household residing in northern part of Ghana (aOR = 1.40; C.I:1.07-1.83). The lower odds of being anaemic were recorded among children whose household heads were aged 40 years and older, household using other cooking fuels (aOR = 0.49; C.I: 0.21-0.78) and household with no bednets (aOR = 0.57; C.I: 0.44-0.74).

CONCLUSIONS

The GMIS data suggest that anaemia and its severity are higher among children living in MHH than among those living in FHH. The results indicate that poverty, a higher number of household members, relatively younger male household heads and the type of cooking fuel used were factors accounting for the differences in childhood anaemia in MHH and FHH. Equal attention should be given to MHH and FHH in terms of programmes and interventions aimed towards preventing and reducing childhood anaemia in Ghana.

Determinants of Incident Stunting in Elementary School Children in Endemic Area Iodine Deficiency Disorders Enrekang Regency

BACKGROUND: Stunting is a global health emergency, including in Indonesia. The prevalence of childhood stunting in 2019 in Enrekang amounted to 44.8%. Enrekang Regency is the area with the highest stunting and is an endemic area. Iodine Deficiency Disorder (IDD) is thought to be correlated with the incidence of stunting. AIM: This study aims to identify the determinants of stunting in elementary school children in IDDs endemic areas in the Enrekang Regency. METHODS: An observational analytic study with a cross-sectional approach. The subjects of this study were mothers and their children aged 6–12 years. 100 total samples were collected based on the purposive sampling method. Collecting data using a questionnaire, FFQ, iodine test kit, microtia, and palpation. Data analysis using chi-square and logistic regression. RESULTS: The results showed that there was a relationship between maternal height (p = 0.020), diet (p = 0.049), PHBS practice (p = 0.012) on the incidence of stunting. While the use of iodized salt (p = 0.510) and palpation of the thyroid gland (p = 1000) were not associated with stunting. Lack of PHBS practices for children has a 6333-fold chance of experiencing stunting, while stunted mothers have a 5.583-fold chance of giving birth to stunting children. CONCLUSIONS: There is a relationship between mother’s height, child’s diet, and PHBS practice with stunting. Analysis of determinants related to the incidence of stunting is very important so that it becomes input and empirical evidence to the regional governments in formulating policies to overcome the problem of stunting, which is the highest in South Sulawesi.

Effect of feeding practices on nutritional status of infant and young children residing in urban slums of berhampur: A decision tree approach

Background

Appropriate infant and young child feeding (IYCF) practices in the early years of life will ensure optimal growth and development of the child. However, many children are not fed in the recommended way.

Objectives

To assess the risk of malnutrition as a result of various feeding practice patterns among the children with the application of the decision tree algorithm.

Methods

It was a community-based cross-sectional study conducted in the urban slums of Berhampur Municipal Corporation in Ganjam District, Odisha, India, from January to December 2019. Among a sample of 360 children of 6-23 months, nutritional status and feeding practices were determined. Data were analyzed using R version 3.6.1 developed by R Foundation for Statistical Computing, Vienna, Austria. The effect of IYCF practices on nutritional status was explained with the decision tree method with the use of a Chi-squared automatic interaction detection algorithm.

Results

The prevalence of children with early initiation of breastfeeding (EIBF), exclusive breastfeeding (EBF), minimum meal frequency (MMF), and minimum dietary diversity (MDD) was 62.2%, 59.7%, 41.9%, and 19.4%, respectively. The prevalence of wasting, stunting, and underweight among the participants was 36.4%, 31.1%, and 35.3%, respectively. The significant factors which classified and predicted wasting were EBF, EIBF, and MDD, for stunting factors were EBF, MMF, and MDD and for underweight, significant factors were EBF, EIBF, and MDD.

Conclusion

With the decision tree approach, the probability of malnutrition in relation to various feeding practices patterns can be easily explained to the mothers and health workers as compared to interpreting odds ratio and strict adherence to IYCF guidelines can also be ensured.