Neuropsychiatric characterization of individuals with inhalant use disorder and polysubstance use according to latent profiles of executive functioning. (1st September 2018)

• Record Type: Journal Article
• Authors: Marín-Navarrete, Rodrigo; Toledo-Fernández, Aldebarán; Villalobos-Gallegos, Luis; Pérez-López, Alejandro; Medina-Mora, María Elena
• Is Part Of: Drug and alcohol dependence. Volume 190(2018)
• Page Start: 104
• Page End: 111
• Publication Date: 2018-09-01
• Subjects: Inhalants -- Solvents -- Substance use disorder -- Executive functions -- Co-occurring disorders; Drug abuse -- Periodicals; Alcoholism -- Periodicals; 616.86
• DOI: 10.1016/j.drugalcdep.2018.06.005
• Languages: English
• ISSNs: 0376-8716

Abstract

Highlights: Latent profiles of executive functioning can be identified in inhalant use disorder. Executive functions are transdiagnostic to co-occurring disorders. Executive functions associate to clinical outcomes in inhalant users. Abstract: Background: Inhalant use disorder (IUD) is associated with deficits in executive functions (EFs). We described latent profiles of EFs and distribution of neuropsychiatric disorders and patterns of severity of use across these profiles. Methods: Individuals with IUD were recruited at community-based residential facilities for substance use treatment in Mexico City. Latent profile analysis was conducted with the following tasks: self-ordered pointing, Stroop, Iowa gambling, Wisconsin Card Sorting and Tower of Hanoi. Results: Three latent profiles were extracted from n = 165: lowest performances of inhibition of response and processing speed; lowest performance of self-monitoring, intermediate performance of inhibition of response and relatively spared processing speed; and intermediate performance of processing speed and self-monitoring, and relatively spared inhibition of response. Conclusion: Between-group differences were observed mainly for antisocial personality disorder and lifetime suicidal. Findings remark the need for identifying distinct profiles of EFs within these populations to better understand the transdiagnostic heterogeneity of EFs.