Dark Mode
Alzheimer's Disease and Healthy Aging in the US
Public Health & Epidemiology
Related Searches
Trusted By
"No reviews yet"
Free
About
Comprehensive insights into the health and well-being of older adults in the United States are provided, with a particular focus on Alzheimer’s disease, dementia, and general aging trends. The data is sourced from the Centers for Disease Control and Prevention (CDC) and encompasses variables from several national surveys, including the Behavioral Risk Factor Surveillance System (BRFSS), the National Health Interview Survey (NHIS), and the National Health and Nutrition Examination Survey (NHANES).
Features:
- Geographical Data: Information segmented by states and regions, including locations like Hawaii, Idaho, and others.
- Health Conditions: Covers conditions such as arthritis, depression, and physically unhealthy days.
- Demographics: Stratifications based on age groups (e.g., 50-64 years).
- Confidence Intervals: Low and high confidence intervals for various health metrics.
- Sample Size: Detailed sample sizes and data values for specific questions and variables.
Usage:
This dataset is valuable for healthcare providers, policymakers, and researchers aiming to understand trends and patterns in aging populations, particularly in relation to Alzheimer’s disease and mental health conditions.
Coverage:
The dataset covers older adult populations across various states in the U.S., with data relevant to both general aging metrics and specific health conditions associated with Alzheimer’s and dementia.
License:
CC0 (Public Domain)
Who can use it:
Healthcare providers, policymakers, researchers, and public health analysts can use this dataset to gain insights into aging trends and to inform strategies for addressing Alzheimer’s disease and other age-related health conditions.
How to use it:
The dataset can be used to:
- Analyze geographic trends in aging and Alzheimer's-related conditions.
- Study the prevalence of health issues such as arthritis and depression in older adults.
- Assess the impact of aging on healthcare systems by examining confidence intervals and sample sizes across states.
QUALITY