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)


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
Issue number6
Publication statusPublished - Jun 1 2020

All Science Journal Classification (ASJC) codes

  • General Neuroscience
  • Clinical Neurology
  • Genetics(clinical)


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