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Public Health & Nutritional AnalysisMethodology Demonstration

Vitamin D Deficiency in Riyadh

Simulated Case Study

This case study uses simulated data to demonstrate the statistical methodology, analysis workflow, and reporting standards we apply to real client projects. No actual patient or institutional data is represented.

Confidentiality Notice

This project was conducted under strict confidentiality. Raw data, participant identities, and institution-specific findings cannot be disclosed.

Project Overview

We conducted an in-depth analysis of vitamin D deficiency prevalence among the population of Riyadh, with a focus on identifying the demographic and seasonal factors associated with low vitamin D levels.

The study examined serum vitamin D levels, demographic correlations, and seasonal variations to deliver evidence-based recommendations supporting public health interventions in the field of nutrition.

Analytical Methods

  • Cross-sectional prevalence analysis
  • Serum vitamin D level distribution & classification
  • Seasonal trend decomposition
  • Demographic correlation & regression analysis
  • Risk factor identification & stratification

Tools Used

SPSSMicrosoft ExcelRData VisualizationStatistical Reporting
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