Modeling the impact of social problem-solving deficits on depressive vulnerability in the broader autism phenotype

Scott Luther James Jackson, Barbara Dritschel

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)

Abstract

The social communication and interaction deficits associated with the autism phenotype can have serious emotional consequences for individuals on the autism spectrum. This can be particularly true during young-adulthood, a period of increased social demands and expectations. The current study investigated the specific role of social problem-solving deficits as a mediator in the relationship between autism phenotype severity and depressive symptomology in young-adults. A sample of 230 university students (48% male) ranging in age from 18-30 (M=21.30, SD=2.48) were assessed on autism phenotype expression (Autism-Spectrum Quotient), social problem-solving ability (Social Problem-Solving Inventory, Revised) and depressive symptomology (Beck’s Depression Inventory). Results indicated that deficient social problem-solving skills account for a significant portion of the depressive symptomology associated with increased autism phenotype expression. Path model analysis output suggested that increased expression of the social components of the autism phenotype are associated with both ineffective social problem-solving styles and attitudes, while increased detail orientation discourages the use of an impulsive problem-solving style. The findings of this investigation provide preliminary evidence suggesting that programs designed to improve social problem-solving skills could be beneficial in the reduction of depressive vulnerability for young-adults on the autism spectrum.
Original languageEnglish
Pages (from-to)128-138
JournalResearch in Autism Spectrum Disorders
Volume21
Early online date9 Nov 2015
DOIs
Publication statusPublished - Jan 2016

Keywords

  • Autism-Spectrum Quotient (AQ)
  • Autism phenotype expression
  • Social problem solving
  • Depression
  • University students
  • Path model analysis

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