Cross-Cultural Generalizability of the First Year Inventory for Early ASD Screening in China

Ziyi Zhang1, Qingyao Zhu1, Tianshu Gao1

  • 1Child Mental Health Research Center, the Affiliated Brain Hospital of Nanjing Medical University, 264 GuangZhou Road, Nanjing, 210029, China.

Insights

The First Year Inventory (FYI) screening tool shows promise for identifying autism spectrum disorder (ASD) risk in Chinese infants. A validated short version demonstrates good predictive ability in high-risk infants.

Area of Science:

  • Developmental Pediatrics
  • Child Psychology
  • Screening Tools

Background:

  • The First Year Inventory (FYI) is a parent-report screening tool for autism spectrum disorder (ASD) risk in 12-month-old infants.
  • Investigating its utility in diverse cultural contexts, like the Chinese community, is crucial for early identification.

Purpose of the Study:

  • To assess the First Year Inventory's (FYI) effectiveness in the Chinese population.
  • To develop and validate a shortened version of the FYI for use with Chinese infants.
  • To compare FYI performance in low-risk and high-risk infant samples.

Main Methods:

  • Recruited 53 high-risk (HR) and 519 low-risk (LR) infants (11-13 months) in China.
  • Conducted factor analyses to develop a new factorial structure for the FYI.
  • Examined construct validity, internal consistency, and predictive ability of FYI versions in both samples.

Main Results:

  • Observed significant differences in response distributions between Chinese and American samples.
  • Both FYI 2.0 and the FYI short version showed moderate construct validity and internal consistency.
  • The FYI short version demonstrated superior predictive ability in the high-risk sample.
  • High-risk infants exhibited significantly lower risk scores compared to low-risk infants.

Conclusions:

  • The Chinese short version of the First Year Inventory (FYI) is applicable and valid for screening ASD risk.
  • Further research, including follow-up assessments and cutoff score evaluations, is recommended for the Chinese sample.

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