The Self-Construal Scale: A Potential Tool for Predicting Subjective Well-Being of Individuals With Autism Spectrum Disorder

  • Sachie Kaneko
  • , Takahiro A. Kato
  • , Manabu Makinodan
  • , Takashi Komori
  • , Rio Ishida
  • , Naoko Kishimoto
  • , Masato Takahashi
  • , Yuka Yasuda
  • , Ryota Hashimoto
  • , Hidemi Iwasaka
  • , Ayumi Tanaka
  • , Yukiko Uchida
  • , Shigenobu Kanba
  • , Toshifumi Kishimoto

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Despite accumulating evidence that culture shapes the symptoms of autism spectrum disorder (ASD), no studies have yet applied the Self-Construal Scale to individuals with ASD. We compared the self-construals (measured using the Self-Construal Scale) of 31 high-functioning Japanese individuals with ASD with those of 60 typically developing (TD) individuals. We also examined how the self-construals of individuals with ASD related to their intelligence quotient, adverse childhood experiences, attention deficit hyperactivity disorder, ASD symptoms during adulthood and preschool years, and subjective well-being. Individuals with ASD were more likely to display independent self-construals than were TD individuals; unexpectedly, however, a substantial proportion of individuals with ASD (43.8%) displayed relatively interdependent self-construals. Among individuals with ASD, self-construals were significantly associated with ASD symptoms during preschool years, and with satisfaction of the need for autonomy and frustration of the need for relatedness. Evaluating self-construals can help predict the subjective well-being of high-functioning individuals with ASD. Moreover, the Self-Construal Scale may be useful for understanding the heterogeneous phenotypes of ASD, based on its association with autistic symptoms during preschool years, suggesting that the scale is a potential tool to develop efficient interventions for high-functioning individuals with ASD. Autism Res 2020, 13: 947-958.

Original languageEnglish
Pages (from-to)947-958
Number of pages12
JournalAutism Research
Volume13
Issue number6
DOIs
Publication statusPublished - 01-06-2020
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • General Neuroscience
  • Clinical Neurology
  • Genetics(clinical)

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