Citation

Short NA, Allan NP, Saulnier K, Preston TJ, Joiner TE, Schmidt NB. J. Psychopathol. Behav. Assess. 2021; 43(2): 227-239.

Copyright

(Copyright © 2021, Holtzbrinck Springer Nature Publishing Group)

DOI

10.1007/s10862-020-09816-5

PMID

unavailable

Abstract

Insomnia symptoms are common among individuals with psychiatric disorders, and associated with increased symptom severity. However, the Insomnia Severity Index (ISI) has rarely been psychometrically evaluated in a psychiatric sample. Furthermore, the latent structure of the ISI has not been evaluated using factor mixture modeling, which improves upon prior analytic techniques by integrating factor structure and including exogenous variables. Thus, the current study used factor mixture modeling to test the latent structure of the ISI among two samples of psychology clinic outpatients (Ns = 366 and 331). The ISI was best represented with a three-class structure representing "no or minimal," "moderate," and "severe" insomnia symptoms, with significantly escalating symptoms of depression, anxiety, and posttraumatic stress across these classes. Clinical cut-scores for the "severe" class were also derived using receiver operating curve analyses. Implications for theoretical conceptualization of insomnia among those with psychiatric disorders and clinical implications are discussed. © 2020, Springer Science+Business Media, LLC, part of Springer Nature.

Language: en

Keywords

adult; human; Anxiety; Depression; female; male; Comorbidity; insomnia; suicidal ideation; depression; anxiety; suicidal behavior; comorbidity; disease severity; Insomnia; posttraumatic stress disorder; risk factor; African American; outpatient; major clinical study; controlled study; personality disorder; Hispanic; drug dependence; DSM-IV; obsessive compulsive disorder; Beck Depression Inventory; Beck Anxiety Inventory; Asian American; Article; Structured Clinical Interview for DSM Disorders; structured interview; interrater reliability; semi structured interview; Insomnia Severity Index; confirmatory factor analysis; entropy; beck suicide scale; Factor mixture modeling