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Early literacy and numeracy development among children may be the best measure of a child's well-being. The purpose of this research was to examine the impact of child factors, quality of care and household factors, and community factors in early childhood on the development of literacy and numeracy skills of children in Bangladesh.

For this study, the authors used data from Bangladesh's 2019 Multiple Indicator Cluster Survey. The association between response variables and selected covariates was examined using the chi-square test. To determine the risk factors for early child literacy and numeracy development, the authors applied two-level logistic regression models.

Among the total of under five children (n = 9,449), in general, 29.1% of the children were growing in the development early childhood literacy and numeracy in Bangladesh. Children (36–47 months), male children, children with moderate stunting, children with severe and moderate underweight status, mothers without education and primary education, and mothers from the poorest, poorer, middle and richer households were less likely than their counterparts to develop children's early literacy and numeracy skills. In contrast, women from the eastern and central regions, children who read at least 3 books, and early childhood education had higher odds of children's literacy and numeracy skills development than their counterparts.

The results from this study suggest that children's, community, quality of care and household level significant factors should be considered when trying to improve children's literacy and numeracy skills development in Bangladesh.

Malnutrition is one of the serious public health problems especially for children and pregnant women in developing countries such as Bangladesh. This study aims to identify the risk factors associated with child nutrition for both male and female children in Bangladesh.

This study was conducted among 23,099 mothers or caretakers of children under five years of age from a nationally representative survey named Bangladesh Multiple Indicator Cluster Survey, 2019. This study used chi-square test statistic for bivariate analysis and multinomial logistic regression was used to evaluate the adjusted effects of those covariates on child nutritional status.

The prevalence of severely malnourished, nourishment was higher for males than females (5.3% vs 5.1%, 77.4% vs 76.8%) while moderately malnourished were higher for females (18.1% vs 17.4%). The findings from the multinomial model insinuated that the mother’s education level, wealth index, region, early child development, mother’s functional difficulties, child disability, reading children's books and diarrhea had a highly significant effect on moderate and severe malnutrition for male children. For the female children model, factors such as mother’s education level, wealth index, fever, child disability, rural, diarrhea, early child development and reading less than three books were significant for moderate and severe malnutrition.

There is a solution to any kind of problem and malnutrition is not an exceptional health problem. So, to overcome this problem, policymakers should take effective measures to improve maternal education level, wealth status, child health.