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Published on: December 9, 2015
Cognitive vulnerability in moderate, mild, and low seasonality
Kelly J Rohan1, Yael I Nillni, Jennifer N Mahon
1Department of Psychology, University of Vermont, John Dewey Hall, 2 Colchester Avenue, Burlington, VT 05405-0134, USA. kelly.rohan@uvm.edu
Individuals with moderate seasonality show increased cognitive vulnerability, suggesting a specific mechanism for winter depression. This highlights the role of cognitive factors in seasonal mood changes.
Area of Science:
- Psychology
- Clinical Psychology
- Cognitive Science
Background:
- Seasonal mood variations affect many individuals.
- Cognitive vulnerability factors are implicated in depression.
- Understanding the interplay between seasonality and cognition is crucial for mental health.
Purpose of the Study:
- To investigate the association between cognitive vulnerability factors and the degree of seasonality.
- To explore cognitive mechanisms contributing to winter depression in individuals with varying levels of seasonality.
Main Methods:
- 88 students were assessed for seasonality using the Seasonal Pattern Assessment Questionnaire.
- Participants completed explicit (e.g., dysfunctional attitudes, rumination) and implicit (Implicit Associations Test) measures of cognitive vulnerability.
- Assessments were conducted during winter and nonwinter periods.
Main Results:
- Moderate-seasonality participants reported more automatic negative thoughts and rumination in winter compared to mild-seasonality and low-seasonality groups.
- Dysfunctional attitudes were higher in moderate-seasonality participants across seasons.
- All groups showed increased cognitive vulnerability and stronger light-dark implicit associations during winter.
Conclusions:
- Findings suggest a cognitive mechanism for winter depression onset and maintenance, particularly in individuals with moderate seasonality.
- Cognitive vulnerability factors appear to be exacerbated during winter, especially in more seasonally affected individuals.
- The study differentiates cognitive profiles between moderate and mild seasonality, offering insights into targeted interventions.
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