Background and objectives
Implicit associations are relatively uncontrollable associations
between concepts in memory. The current investigation focuses on implicit
associations in four mental health domains (alcohol use, anxiety,
depression, and eating disorders) and how these implicit associations: a)
relate to explicit associations and b) self-reported clinical symptoms
within the same domains, and c) vary based on demographic characteristics
(age, gender, race, ethnicity, and education).
Methods
Participants (volunteers over age 18 to a research website) completed
implicit association (Implicit Association Tests), explicit association
(self+psychopathology or attitudes toward food, using semantic differential
items), and symptom measures at the Project Implicit Mental Health website
tied to: alcohol use (N=12,387), anxiety
(N=21,304), depression (N=24,126), or
eating disorders (N=10,115).
Results
Within each domain, implicit associations showed small to moderate
associations with explicit associations and symptoms, and predicted
self-reported symptoms beyond explicit associations. In general, implicit
association strength varied little by race and ethnicity, but showed small
ties to age, gender, and education.
Limitations
This research was conducted on a public research and education
website, where participants could take more than one of the studies.
Conclusions
Among a large and diverse sample, implicit associations in the four
domains are congruent with explicit associations and self-reported symptoms,
and also add to our prediction of self-reported symptoms over and above
explicit associations, pointing to the potential future clinical utility and
validity of using implicit association measures with diverse
populations.