| dc.description.abstract | This study, based on a sample of 99 respondents, aims to evaluate the effects of poverty on child health by applying a variety of statistical methodologies. Descriptive statistics, such as mean, standard deviation, minimum and maximum values, as well as Pearson correlation coefficients and multiple linear regression, are used to examine the relationships between dependent variables, specifically nutrition status, and a variety of independent variables, such as household income, age, gender, education level, family size, access to healthcare, and access to social services. The study findings showed a significant negative relationship between household income and wasting scores, a negative relationship no formal education and wasting scores. Finally, a significant positive relationship between family size and wasting scores. These findings highlight the importance of household income, education of a caregiver and family size in developing child health. As a result, recommendations include affordable and low interest loans should be made accessible to caregivers with low household income so they start-up businesses that will boost their income. Education programs and initiatives targeting caregivers especially those with no formal education, should be prioritized focusing on providing essential nutrition knowledge and practices to improve child health outcomes. Family planning and reproductive health services should be made readily available and accessible to parents in impoverished communities to regulate on the family sizes. | en_US |
