Norm-referenced scoring system for the Brief Infant Sleep Questionnaire - Revised (BISQ-R)

Jodi A Mindell1, Russell A Gould2, Liat Tikotzy3

  • 1Psychology, Saint Joseph's University, Philadelphia, PA, USA; Sleep Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA.

Sleep Medicine
|October 15, 2019
PubMed

Insights

The Brief Infant Sleep Questionnaire - Revised (BISQ-R) now offers an age-based scoring system for infant and toddler sleep. This tool helps researchers and clinicians assess sleep patterns and related parent behaviors.

Area of Science:

  • Pediatrics
  • Sleep Medicine
  • Developmental Psychology

Background:

  • Infant and toddler sleep disturbances are common and can impact development.
  • Existing sleep assessment tools may lack comprehensive, age-normed scoring.
  • The Brief Infant Sleep Questionnaire - Revised (BISQ-R) was developed to address these limitations.

Purpose of the Study:

  • To develop and validate an age-based norm-referenced scoring system for the BISQ-R.
  • To provide a standardized method for assessing infant and toddler sleep patterns.
  • To evaluate the BISQ-R's utility across diverse datasets.

Main Methods:

  • Analysis of 33,835 caregiver submissions of the BISQ-R via a smartphone application.
  • Creation of three subscales: Infant Sleep (IS), Parent Perception (PP), and Parent Behavior (PB).
  • Application and validation of the age-based scoring algorithm on multiple independent datasets.

Main Results:

  • The scoring algorithm was successfully applied and confirmed across various samples.
  • Each subscale (IS, PP, PB) and total score (T) are age-referenced, ranging from 0 to 100.
  • Consistent and convergent relationships were observed between subscales across studies.

Conclusions:

  • The BISQ-R offers a comprehensive assessment of infant/toddler sleep, parent perception, and behaviors.
  • The age-based norm-referenced scoring system is publicly available for research and clinical use.
  • This validated scoring system enhances the utility of the BISQ-R for evaluating sleep outcomes.
Abstract