Agreement between scales for screening and diagnosis of motor development at 6 months

Denise Campos1, Denise C C Santos, Vanda M G Gonçalves

  • 1Faculdade de Ciências Médicas, Universidade Estadual de Campinas (UNICAMP), Campinas, SP, Brazil.

Jornal De Pediatria
|December 16, 2006
PubMed

Insights

The Alberta Infant Motor Scale (AIMS) and Bayley Scales of Infant Development II (BSID-II) show good agreement for assessing 6-month-old infant motor development. The AIMS 5th percentile cutoff is recommended for screening.

Area of Science:

  • Pediatrics
  • Developmental Pediatrics
  • Motor Development Assessment

Background:

  • Early identification of motor development delays is crucial for timely intervention.
  • Standardized tools are needed to accurately screen and diagnose motor impairments in infants.
  • The Alberta Infant Motor Scale (AIMS) and Bayley Scales of Infant Development II (BSID-II) are commonly used for motor assessment.

Purpose of the Study:

  • To evaluate the agreement between AIMS and BSID-II for motor development screening in 6-month-old infants.
  • To determine the optimal AIMS cutoff point for effective motor development screening.

Main Methods:

  • A cross-sectional study involving 43 healthy, full-term infants aged 6 months.
  • Infants were assessed using the Alberta Infant Motor Scale (AIMS) and the motor scale of the Bayley Scales of Infant Development II (BSID-II).
  • Two AIMS cutoff points (5th and 10th percentiles) were compared against BSID-II motor index scores.

Main Results:

  • A total of 6 infants (14%) showed inadequate motor performance based on BSID-II.
  • Using the AIMS 5th percentile cutoff yielded 100% sensitivity and 78.37% specificity.
  • The AIMS 10th percentile cutoff resulted in 100% sensitivity but lower specificity (48.64%).

Conclusions:

  • The AIMS and BSID-II demonstrate good concordance in assessing motor development at 6 months.
  • The 5th percentile cutoff for the AIMS is the most effective for screening, balancing sensitivity and specificity.
Abstract

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