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Balancing Strengths and Weaknesses in Dimensional Psychiatry

Lindsay M. Alexander, View ORCID ProfileGiovanni A. Salum, James M. Swanson, View ORCID ProfileMichael P. Milham
doi: https://doi.org/10.1101/207019
Lindsay M. Alexander
1Center for the Developing Brain, Child Mind Institute, New York, NY, USA
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Giovanni A. Salum
2Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
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James M. Swanson
3Child Development Center, University of California Irvine
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Michael P. Milham
1Center for the Developing Brain, Child Mind Institute, New York, NY, USA
4Center for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA
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ABSTRACT

Objective To evaluate the feasibility and value of creating an extensible framework for psychiatric phenotyping that indexes both strengths and weaknesses of behavioral dimensions. The Extended Strengths and Weaknesses Assessment of Normal Behavior (E-SWAN) reconceptualizes each diagnostic criterion for selected DSM-5 disorders as a behavior, which can range from high (strengths) to low (weaknesses). Initial efforts have focused on Panic Disorder, Social Anxiety, Major Depression, and Disruptive Mood Dysregulation Disorder.

Methods Data were collected from 523 participants (ages: 5-21 years old) in the Child Mind Institute Healthy Brain Network − an ongoing community-referred study. Parents completed each of the four E-SWAN scales and traditional unidirectional scales addressing the same disorders. Distributional properties, Item Response Theory Analysis (IRT) and Receiver Operating Characteristic (ROC) curves (for diagnostic prediction) were used to assess and compare the performance of E-SWAN and traditional scales.

Results In contrast to the traditional scales, which exhibited truncated distributions, all four E-SWAN scales were found to have near-normal distributions. IRT analyses indicate the E-SWAN subscales provided reliable information about respondents throughout the population distribution; in contrast, traditional scales only provided reliable information about respondents at the high end of the distribution. Predictive value for DSM-5 diagnoses was comparable to prior scales.

Conclusion E-SWAN bidirectional scales can capture the full spectrum of the population distribution for DSM disorders. The additional information provided can better inform examination of inter-individual variation in population studies, as well as facilitate the identification of factors related to resiliency in clinical samples.

Footnotes

  • No competing interests to report

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted October 20, 2017.
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Balancing Strengths and Weaknesses in Dimensional Psychiatry
Lindsay M. Alexander, Giovanni A. Salum, James M. Swanson, Michael P. Milham
bioRxiv 207019; doi: https://doi.org/10.1101/207019
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Balancing Strengths and Weaknesses in Dimensional Psychiatry
Lindsay M. Alexander, Giovanni A. Salum, James M. Swanson, Michael P. Milham
bioRxiv 207019; doi: https://doi.org/10.1101/207019

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