Big data analysis reveals significant shifts in vitamin D status trends, indicating a pressing need for methodological standardization in public health.
Key Points
This research aims to explore vitamin D trends through extensive data analysis, particularly focusing on seasonal and demographic variations.
Analyzed 60,000 vitamin D concentration results using big data methods since 2000.
Investigated trends in test requests by gender and age group over the study period.
Assessed the impact of different methodologies for determining vitamin D concentrations.
Observed a significant increase in test requests from hundreds in 2000 to nearly 10,000 in 2020.
Notable shift in gender gap with increased test requests from men by the end of the analysis.
Definitive prevalence of vitamin D insufficiency identified across various demographics and seasons.