The Multiple Deficit Model: Progress, Problems, and Prospects

Lauren M McGrath1, Robin L Peterson2, Bruce F Pennington1

  • 1Department of Psychology, University of Denver, Denver CO.

Scientific Studies of Reading : the Official Journal of the Society for the Scientific Study of Reading
|May 23, 2020
PubMed

Insights

The multiple deficit model (MDM) explains neurodevelopmental disorders by considering multiple risk factors, not just single deficits. This model acknowledges shared risks in comorbidity but faces challenges in establishing causality with current research methods.

Area of Science:

  • Neuropsychology
  • Developmental Psychology
  • Psychopathology

Background:

  • The single-deficit model inadequately explains atypical neuropsychological development.
  • The multiple deficit model (MDM) was proposed as a more comprehensive alternative.
  • Existing models struggle to account for the complexity of neurodevelopmental disorders and comorbidity.

Purpose of the Study:

  • To review the evidence supporting the multiple deficit model (MDM).
  • To discuss the implications of the MDM for understanding neurodevelopmental disorders and comorbidity.
  • To identify challenges and future directions for the MDM.

Main Methods:

  • Review of existing literature on neuropsychological development and the MDM.
  • Analysis of theoretical tenets of the MDM.
  • Discussion of methodological challenges and opportunities.

Main Results:

  • Evidence supports the MDM's tenets: multiple predictors contribute probabilistically to neurodevelopmental disorders.
  • Shared risk factors are supported as contributors to comorbidity.
  • The multiplicity of factors implies no single deficit can diagnose or exclude disorders.

Conclusions:

  • The MDM provides a more adequate framework for understanding neurodevelopmental disorders than single-deficit models.
  • Challenges include falsifiability and establishing causality with cross-sectional data.
  • Future directions involve incorporating protective factors and exploring mechanistic links across analyses.

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