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Dataset Overview: “Diabetes in Young Adults in India”

This dataset contains 100,000 synthetic but realistic records reflecting the prevalence of diabetes and its contributing factors among young adults (ages 15-25) in India. Designed to capture genetic predispositions, lifestyle habits, and key health metrics, it provides valuable insights into the onset of diabetes within this demographic.

This dataset is available on Kaggle Under MIT License – https://www.kaggle.com/datasets/ankushpanday1/diabetes-in-youth-vs-adult-in-india

Dataset Features

The dataset includes:

  • Demographics: Age, gender, region, and income group.
  • Genetic Risk Factors: Family history of diabetes, parental diabetes.
  • Lifestyle Habits: Physical activity levels, dietary patterns, screen time, smoking, and alcohol consumption.
  • Health Metrics: BMI, fasting blood sugar, HbA1c levels, cholesterol levels, stress levels, and sleep duration.
  • Diabetes Outcomes: Indicators for prediabetes or Type 2 diabetes.

Key Insights You Can Derive

  1. Risk Factor Analysis
    • Assess the role of genetic predispositions (e.g., family history) in diabetes onset.
    • Evaluate how lifestyle factors, such as BMI, diet, and physical activity, influence diabetes risk.
  2. Diabetes Prediction
    • Develop predictive models to identify individuals at high risk for prediabetes or Type 2 diabetes.
  3. Health Metrics Correlation
    • Analyze relationships between health indicators (e.g., fasting blood sugar, HbA1c, cholesterol) and diabetes types.
    • Investigate the impact of stress, sleep patterns, and screen time on overall health outcomes.
  4. Demographic Trends
    • Explore regional variations in diabetes prevalence across India.
    • Study differences in diabetes onset based on gender and income groups.
  5. Behavioral Insights
    • Examine how fast food consumption, smoking, and alcohol use correlate with diabetes outcomes.
    • Analyze the combined effects of physical activity and dietary habits on key health metrics.

This dataset provides a rich resource for research and data-driven decision-making, enabling a deeper understanding of diabetes trends and prevention strategies among young adults in India.