An online population-representative longitudinal cognitive dataset from the Understanding America Study

Area of Science:

• Cognitive epidemiology
• Public health research
• Longitudinal studies

Background:

• Cognitive epidemiology investigates cognitive ability's role in health and disease.
• Longitudinal cognitive assessments are crucial for understanding cognitive aging.
• Existing datasets often lack comprehensive cognitive data.

Purpose of the Study:

• To introduce the Cognitive Comprehensive File (CogCF) as a resource for cognitive epidemiology.
• To enable research on cognitive ability's association with health and life outcomes.
• To facilitate studies on factors influencing cognitive changes over time.

Main Methods:

• Development and collection of longitudinal cognitive assessments within the Understanding America Study (UAS).
• Compilation of data into the publicly available Cognitive Comprehensive File (CogCF).
• Linking CogCF data with extensive UAS datasets (e.g., Health and Retirement Study).

Main Results:

• The CogCF provides cognitive test data for over 21,000 adults (aged 18+).
• The dataset covers multiple cognitive domains including fluid intelligence and processing speed.
• CogCF is linked to diverse UAS data on health, employment, and wellbeing.

Conclusions:

• The CogCF is a valuable, publicly accessible resource for cognitive epidemiology.
• Researchers can use CogCF to explore cognitive ability's links to various life outcomes.
• This resource supports investigations into the determinants of cognitive aging and change.