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Chronic Health Conditions and Risk Factors Survey
Public Health & Epidemiology
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About
Explore one of the most extensive health surveys in the world, capturing essential data on the lifestyle, health behaviors, and preventive care habits of adults across the United States. Conducted by the Behavioral Risk Factor Surveillance System (BRFSS), this dataset compiles information from over 400,000 annual interviews, revealing how everyday choices impact chronic health conditions and overall well-being. From smoking and alcohol use to exercise frequency and mental health, this data provides crucial insights into the health status of U.S. residents and the factors that contribute to their longevity and quality of life.
Dataset Features:
- Respondent ID: Unique identifier for each individual in the survey.
- Demographics: Age, gender, marital status, income, education, and employment status.
- Health Status: Self-rated health, days impacted by mental or physical health issues, chronic conditions (e.g., diabetes, cardiovascular diseases).
- Health Behaviors: Information on tobacco and alcohol use, dietary habits like fruit and vegetable consumption, and physical activity levels.
- Preventive Health Services: Data on the utilization of preventive health services, including blood pressure checks, cholesterol screenings, flu vaccinations, and HIV testing.
- Mental Health and Support Systems: Insight into reported stress, depression, life satisfaction, and the availability of social support networks.
Usage:
This dataset offers a powerful foundation for:
- Public health research: Analyze trends in health behaviors, investigate health disparities, and examine their impact on chronic conditions.
- Policy-making: Guide the creation of targeted public health policies at both state and national levels, helping to address specific health risks within communities.
- Predictive modeling: Develop predictive models to assess risk factors for chronic diseases based on demographic and lifestyle data.
Coverage:
Collected from adults across all 50 states, the District of Columbia, and three U.S. territories, this dataset provides a comprehensive snapshot of the nation’s health landscape, allowing comparisons and analyses across different geographic and demographic groups.
License:
Public Domain
Who Can Benefit:
- Researchers and Data Scientists: For in-depth analysis of health trends and risk factors associated with lifestyle choices.
- Public Health Agencies and Policymakers: To inform strategies aimed at reducing health disparities and promoting wellness.
- Healthcare Providers: To identify population-level health risks and improve preventive care programs.
How to Use It:
- Trend Analysis: Examine shifts in health behaviors and prevalence of risk factors across years and regions.
- Predictive Modeling: Create algorithms to predict chronic disease likelihood based on a person’s lifestyle and preventive care habits.
- Program Evaluation: Assess the effectiveness of public health programs and interventions over time and tailor new initiatives to meet emerging needs.
Dataset Information:
- License: Public Domain
- Region: United States
- Type: Survey Data
- Version: 1.0
Collection Information:
- Access: TEXT/CSV
- Formats: CSV
- Records: Over 400,000 per year
- Last Updated: 2015
- Size: Large (several GBs, depending on data structure)
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