ABSTRACT
Objective: To evaluate the prevalence of vitamin D deficiency (VDD) and its correlates among apparently healthy children and adolescents. Methods: We carried out a secondary analysis of data of Comprehensive National Nutrition Survey 2016-18 to analyze the pre-valence and predictors of VDD among Indian children and adolescents. Results: The over-all prevalence of VDD in preschool children (1-4 years), school age (5-9 years) children, and adolescents (10-19 years) was 13.7%, 18.2%, and 23.9%, respectively. Age, living in urban area, and winter season were significantly associated with VDD. Vegetarian diet and high-income households were the main risk factors observed in 5-19 years age category. Female sex and less than three hour of physical activity/week were independent risk factors among adolescents. Conclusion: The prevalence and determinants of VDD across different age-groups are reported, and these should be interpreted and addressed to decrease the burden of VDD in India.
ABSTRACT
Good quality health, nutrition and demographic survey data are vital for evidence-based decision-making. Existing literature indicates system specific, data collection and reporting gaps that affect quality of health, nutrition and demographic survey data, thereby affecting its usability and relevance. To mitigate these, the National Data Quality Forum (NDQF), under the Indian Council of Medical Research (ICMR) - National Institute of Medical Statistics (NIMS) developed the National Guidelines for Data Quality in Surveys delineating assurance mechanisms to generate standard quality data in surveys. The present article highlights the principles from the guidelines for informing survey researchers/organizations in generating good quality survey data. It describes the process of development of the national guidelines, principles for each of the survey phases listed in the document and applicability of them to data user for ensuring data quality. The guidelines may be useful to a broad-spectrum of audience such as data producers from government and non-government organizations, policy makers, research institutions, as well as individual researchers, thereby playing a vital role in improving quality of health, nutrition and demographic data ecosystem.