METHODS: Purposive sampling was employed in this pilot study to select the households with under-5 children and, a structured questionnaire was developed to gather data. Chi-squared tests, logistic regression modelling and World Health Organisation AnthroPlus software-based visualization were used for analyses.
RESULTS: The present study's findings indicate that demographic and social factors, including 'Citizenship,' 'Type of House,' 'Number of Earning Members,' 'Father's Highest Educational Level,' and 'Number of Children in a Family,' have a statistically significant association with Wasting. Additionally, the mother's 'Highest Educational Level' is found to be linked to underweight prevalence. Within COVID-19 factors, "COVID-19 Impact on Employment/Business" demonstrated significance for both stunting and wasting. Multivariate analysis revealed disparities in childhood malnutrition by gender, age, and factors such as "COVID-19 impact on children's physical activity" and "COVID-19 impact on children's decrease in health over the last two weeks."
CONCLUSIONS: This study identified COVID-19 factors alongside sociodemographic variables with statistically significant relationships impacting childhood malnutrition in Selangor, Malaysia. The results underscored the substantial influence of the COVID-19 pandemic on child malnutrition prevalence. Decision-makers at family and community levels can benefit by considering these factors in their actions. However, the study's limitation lay in its dataset, urging larger-scale analyses to explore further sub-categories of the examined variables.
Methods: A survey using self-administered questionnaires was used to collect data from a sample of 856 staff nurses working in eight public hospitals in Malaysia. A shortened nine-item version of the Utrecht Work Engagement Scale(UWES-9) was used to measure work engagement. The UWES-9 comprises three dimensions, which was measured with three items each: vigor, dedication, and absorption. Job characteristics (job autonomy, job feedback, skill variety, task identity, task significance) were measured with the corresponding subscales of the Job Diagnostic Survey. Each subscale consisted of three items. Hypotheses were tested using hierarchical regression analysis.
Results: Findings indicated that all the five demographic variables (age, marital status, education, organizational tenure, job tenure) were unrelated to work engagement. The results further revealed that job autonomy (β = 0.19, P 0.05), however, did not affect work engagement.
Conclusion: Job autonomy, job feedback, task identity, and task significance are important factors in predicting work engagement. The findings of this study highlighted the need to incorporate these core dimensions in nursing management to foster work engagement.