Empirical Identification of Psychological Symptom Subgroups of Sex Addicts: An Application of Latent Profile Analysis
Document Type
Article
Publication Date
1-1-2016
School
Psychology
Abstract
The current study utilized latent profile analysis (LPA) to uncover discrete classes of sex addicts based upon psychological symptom profiles. An LPA was conducted with sex addicts in residential treatment (N = 222, 95.5% male, 92.3% Caucasian), using scores from the Personality Assessment Inventory (PAI) as indicators of class membership. The LPA yielded evidence for 5 latent classes in this sample of sex addicts. Based upon class average PAI scale profiles, the following labels for the classes were suggested: Class 1—No Comorbid Psychopathology (22.8% of the sample), Class 2—Dysfunctional Negative Emotions (14.9%), Class 3—Mild Depression and Substance-Related Problems (38.1%), Class 4—Clinical Depression and Anxiety (18.8%), and Class 5—Severe Psychopathology (5.6%). It is noteworthy that Classes 1 and 2 (37.7% of the sample), had PAI profiles that were not clinically significant, and thus are unlikely to have other disorders, whereas the mean PAI scores for Classes 4 and 5 indicate that members of these classes are highly likely to present with other diagnosable psychological disorders, especially mood and anxiety disorders. Class 3 is somewhere in between, with likely clinically significant issues with depression, anxiety, and substance-related problems, but which may be in the subthreshold range for a comorbid diagnosis. The results highlight the importance of broad-band psychological assessment to facilitate treatment planning for sex addicts.
Publication Title
Sexual Addiction & Compulsivity
Volume
23
Issue
1
First Page
34
Last Page
55
Recommended Citation
De Guzman, I. N.,
Arnau, R. C.,
Green, B. A.,
Carnes, S.,
Carnes, P.,
Jore, J.
(2016). Empirical Identification of Psychological Symptom Subgroups of Sex Addicts: An Application of Latent Profile Analysis. Sexual Addiction & Compulsivity, 23(1), 34-55.
Available at: https://aquila.usm.edu/fac_pubs/17105