Assessing the Stability of Depression in College Students

Area of Science:

• Psychology
• Psychiatry
• Mental Health Research

Background:

• Assessing the stability of depressive affect is crucial for understanding mental health trajectories in college students.
• Previous research has established longitudinal associations in older adults, but less is known about short-term affective stability in younger populations.

Purpose of the Study:

• To evaluate the one-month stability of depressive affect in college students using multiple assessment scales.
• To examine the predictive validity of depressive categorizations and explore underlying factor structures.
• To compare affective stability in college students with that of older adult samples.

Main Methods:

• Utilized self-report measures including the Beck Depression Inventory, Center for Epidemiological Studies-Depression Scale, and Zung's Self-Rating Depression Scale.
• Employed logistic regression techniques to assess the predictive validity of depressive categorizations across different scales.
• Analyzed correlations and predictive information between time points to determine construct stability.

Main Results:

• A high retest correlation was found for the latent depressive affect construct, despite moderate individual scale stabilities.
• Depressive categorizations were best predicted by prior categorizations on the same scale, supporting a single-factor model.
• The association between dysphoric affect assessments over one month in college students was lower than one-year associations in older adults.

Conclusions:

• College students exhibit a stable underlying depressive affect construct over a one-month period.
• A single-factor model adequately represents depressive affect in this population.
• College students appear to be more affectively volatile than older adults over longer time frames.