Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Case Studies01:22

Case Studies

There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.
Prevalence and Incidence01:08

Prevalence and Incidence

In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health condition at a...
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
Diagnostic and Statistical Manual of Mental Disorders (DSM)01:27

Diagnostic and Statistical Manual of Mental Disorders (DSM)

The Diagnostic and Statistical Manual of Mental Disorders (DSM) serves as the primary classification system for mental health disorders, providing standardized diagnostic criteria for clinicians and researchers. First published by the American Psychiatric Association (APA) in 1952, the DSM has undergone several revisions to reflect evolving psychiatric understanding. The fifth edition, DSM-5, released in 2013, introduced key updates that expanded diagnostic categories and modified diagnostic...
Modeling in Therapy01:26

Modeling in Therapy

Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in situations...
Autism Spectrum Disorder01:19

Autism Spectrum Disorder

Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by persistent deficits in social communication and interaction alongside restrictive and repetitive behaviors or interests. ASD is sometimes accompanied by intellectual impairment.
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Temporal associations between incident physical health problems/sensory impairments and challenging behaviours in people with intellectual disabilities: a population-based longitudinal cohort study of primary care in England.

BMJ open·2026
Same author

Hospitalisations and deaths due to ambulatory care sensitive conditions among adults with and without intellectual disabilities in Scotland: a cohort study.

BMJ open·2026
Same author

Mental Ill-Health in Mothers Caring for Offspring With Intellectual Disabilities at Different Stages of Caregiving: Secondary Data Analysis and Data Linkage of Administrative and Health Records.

Journal of applied research in intellectual disabilities : JARID·2026
Same author

What Are the Factors That Can Challenge and Promote Resilience in Parents of Children With Intellectual Disabilities? A Systematic Review.

Journal of applied research in intellectual disabilities : JARID·2025
Same author

A Population-Based Cross-Sectional Investigation of COVID-19 Hospitalizations and Mortality Among Autistic People.

Journal of autism and developmental disorders·2025
Same author

Rates, causes and predictors of all-cause and avoidable mortality in 514 878 adults with and without intellectual disabilities in Scotland: a record linkage national cohort study.

BMJ open·2025

Related Experiment Video

Updated: Jun 14, 2026

Comprehensive Autopsy Program for Individuals with Multiple Sclerosis
09:41

Comprehensive Autopsy Program for Individuals with Multiple Sclerosis

Published on: July 19, 2019

Making a Case for an Autism-Specific Multimorbidity Index: A Comparative Cohort Study.

Dewy Nijhof1, Filip Sosenko2, Laura McKernan Ward3

  • 1School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom. dewy.nijhof@glasgow.ac.uk.

Journal of Autism and Developmental Disorders
|May 16, 2025
PubMed
Summary

A new index, the ASD-MI, better predicts COVID-19 mortality in autistic adults than general indices. This highlights the need for autism-specific health tools to reduce disparities.

Keywords:
Autism Spectrum DisorderCOVID- 19Long-term ConditionsMortalityMultimorbidityMultimorbidity Index

More Related Videos

Paradigms for Behavioral Assessment in Drosophila Model of Autism Spectrum Disorder
08:30

Paradigms for Behavioral Assessment in Drosophila Model of Autism Spectrum Disorder

Published on: September 6, 2024

Strategies for Assessing Autistic-Like Behaviors in Mice
07:38

Strategies for Assessing Autistic-Like Behaviors in Mice

Published on: September 20, 2024

Related Experiment Videos

Last Updated: Jun 14, 2026

Comprehensive Autopsy Program for Individuals with Multiple Sclerosis
09:41

Comprehensive Autopsy Program for Individuals with Multiple Sclerosis

Published on: July 19, 2019

Paradigms for Behavioral Assessment in Drosophila Model of Autism Spectrum Disorder
08:30

Paradigms for Behavioral Assessment in Drosophila Model of Autism Spectrum Disorder

Published on: September 6, 2024

Strategies for Assessing Autistic-Like Behaviors in Mice
07:38

Strategies for Assessing Autistic-Like Behaviors in Mice

Published on: September 20, 2024

Area of Science:

  • Medical research
  • Public health
  • Autism research

Background:

  • Autistic individuals face healthcare disparities and unique health conditions.
  • Existing multimorbidity indices may not accurately predict health outcomes in autistic populations.
  • Understanding specific mortality risks for autistic adults is crucial for targeted interventions.

Purpose of the Study:

  • To evaluate general multimorbidity indices for predicting COVID-19 mortality in autistic adults.
  • To develop and validate a novel, autism-specific multimorbidity index (ASD-MI).
  • To inform the development of tailored healthcare tools for neurodivergent populations.

Main Methods:

  • Utilized data from the CVD-COVID-UK/COVID-IMPACT Consortium, including 1,027 autistic adults hospitalized with COVID-19.
  • Employed logistic regression with fivefold cross-validation to identify predictors for the ASD-MI.
  • Compared the predictive performance (AUC, pseudo-R2) of the ASD-MI against the general population Quan Index.

Main Results:

  • The ASD-MI, using diabetes, coronary heart disease, and thyroid disorders, achieved an AUC of 0.872, outperforming the Quan Index (0.828).
  • The ASD-MI demonstrated a better model fit (pseudo-R2 0.25) compared to the Quan Index (0.20).
  • Identified specific comorbidities contributing to COVID-19 mortality risk in autistic adults.

Conclusions:

  • Tailored multimorbidity indices, like the ASD-MI, are essential for accurately predicting mortality risks in autistic individuals.
  • Current general indices are insufficient for this population, underscoring the need for autism-specific healthcare tools.
  • Further research is required to refine autism-specific indices and address health disparities in neurodivergent populations.