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Published on: September 17, 2019
Cohort profile: Wisconsin longitudinal study (WLS)
Pamela Herd1, Deborah Carr, Carol Roan
1University of Wisconsin, Madison, WI, USA and Rutgers University, New Brunswick, NJ, USA.
The Wisconsin Longitudinal Study (WLS) tracks individuals and their siblings for nearly 60 years, linking life experiences to health and cognition. This unique dataset explores gene-environment interactions and their impact on behavior.
Area of Science:
- Sociology
- Psychology
- Genetics
- Public Health
- Gerontology
Background:
- The Wisconsin Longitudinal Study (WLS) is a long-term study of individuals who graduated from Wisconsin high schools in 1957 and their siblings.
- The study spans nearly six decades, offering a rich dataset for analyzing life course influences on health and well-being.
- It is one of the few longitudinal datasets including childhood cognitive measures and recent genetic data.
Purpose of the Study:
- To examine the long-term effects of family background, education, and socioeconomic factors on midlife and late-life health, cognition, and mortality.
- To investigate the interplay between genes, behavior, and environment, including genetic predispositions and their interaction with environmental factors.
- To provide a comprehensive resource for researchers studying human development, health outcomes, and aging.
Main Methods:
- Longitudinal data collection over almost 60 years, including interviews and administrative records.
- Inclusion of sibling pairs to control for shared family background and genetic factors.
- Analysis of diverse data types: family history, adolescent traits, education, employment, income, wealth, family formation, social engagement, health, cognition, and mortality.
- Incorporation of genetic data from saliva samples to explore gene-environment interactions.
Main Results:
- Established links between early life factors and later-life health, psychological well-being, and cognitive function.
- Identified predictors of educational attainment, employment success, and family formation.
- Demonstrated the utility of administrative cognitive measures and genetic data in understanding behavioral outcomes.
- Provided insights into the complex relationships between genetics, environment, and behavior across the lifespan.
Conclusions:
- The WLS provides invaluable insights into the determinants of health, behavior, and aging over a near lifetime.
- Gene-environment interactions play a significant role in shaping individual behaviors and life outcomes.
- The study's publicly accessible data supports ongoing research in multiple scientific disciplines.
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