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<p>Nearly half of adults with profound disabilities experience mental ill health; yet detection of mental distress remains a significant challenge in this population. We present a literature-informed theoretical discussion of current knowledge regarding assessing mental health in individuals with profound disabilities. We discuss several genetic, temperament, and experiential vulnerabilities that increase the risk and complicate the detection of mental health conditions in this population, then describe promising frameworks and future directions for improving detection of mental distress in individuals with profound disabilities. We highlight that current assessment strategies, such as behavioral observation and informant report, are useful but clearly inadequate. We then consider how new neuroscience-based frameworks for understanding mental health, such as the Research Domain Criteria, may open windows into the mental world of individuals with profound disabilities. The neuroscience revolution has contributed to our understanding of mental health, but these approaches have been slow to trickle down to individuals with profound disabilities. To advance our understanding of mental distress in profound disabilities, it is essential, first, that individuals with intellectual disability are included in research on neurobiological, behavioral, genetic, and psychological markers of mental illness. Second, funding must be directed to exploring mental distress in individuals with profound disabilities. Finally, the promise of emerging technologies, such as Augmentative and Alternative Communication devices and automatic machine learning, in the assessment of mental distress in individuals with profound disabilities should be explored.</p>

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Current Methods and Future Prospects in the Detection of Mental Distress in Individuals with Profound Intellectual and Multiple Disabilities

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年10月30日

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  • Katherine M. Walton,
  • Alice Bacherini,
  • Timothy Lowery,
  • Armin Munir,
  • Chelsea Cobranchi,
  • Jarrett Barnhill,
  • Susan M. Havercamp,
  • Rebecca Andridge,
  • L. Eugene Arnold,
  • Alexandra Bonardi,
  • Brian Boyd,
  • Christine Brown,
  • Andrew Buck,
  • Mackenzie Burness,
  • Richard Chapman,
  • Carnicia Eghan,
  • Robert Fletcher,
  • Ruben Garcia,
  • Braden Gertz,
  • Erin Harris,
  • Jill Hollway,
  • Andrew Jahoda,
  • Bruce Keisling,
  • Gloria Krahn,
  • Rosie Lawrence-Slater,
  • Luc Lecavalier,
  • Andrew Lincoln,
  • Ruth Emmanuel Michael,
  • Arielle Mulligan,
  • Alexa Murray,
  • Stacy Nonnemacher,
  • Mirian Ofonedu,
  • Morénike Giwa Onaiwu,
  • Eduardo Ortiz,
  • Samantha Perry,
  • Ashley Poling,
  • Thomas Quade,
  • Taylor Richardson,
  • Megan Ryan,
  • Colin Schaffer,
  • John Seeley,
  • Kristy Stepp,
  • Marci Straughter,
  • Marc J. Tassé,
  • Derrick Willis,
  • Philip Wilson,
  • Andrea Witwer

摘要

Nearly half of adults with profound disabilities experience mental ill health; yet detection of mental distress remains a significant challenge in this population. We present a literature-informed theoretical discussion of current knowledge regarding assessing mental health in individuals with profound disabilities. We discuss several genetic, temperament, and experiential vulnerabilities that increase the risk and complicate the detection of mental health conditions in this population, then describe promising frameworks and future directions for improving detection of mental distress in individuals with profound disabilities. We highlight that current assessment strategies, such as behavioral observation and informant report, are useful but clearly inadequate. We then consider how new neuroscience-based frameworks for understanding mental health, such as the Research Domain Criteria, may open windows into the mental world of individuals with profound disabilities. The neuroscience revolution has contributed to our understanding of mental health, but these approaches have been slow to trickle down to individuals with profound disabilities. To advance our understanding of mental distress in profound disabilities, it is essential, first, that individuals with intellectual disability are included in research on neurobiological, behavioral, genetic, and psychological markers of mental illness. Second, funding must be directed to exploring mental distress in individuals with profound disabilities. Finally, the promise of emerging technologies, such as Augmentative and Alternative Communication devices and automatic machine learning, in the assessment of mental distress in individuals with profound disabilities should be explored.