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Measuring strengths and weaknesses in dimensional psychiatry

BACKGROUND: 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 development focused on Panic Disorder, Social Anxiety, Ma...

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Autores principales: Alexander, Lindsay M., Salum, Giovanni A., Swanson, James M., Milham, Michael P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6916607/
https://www.ncbi.nlm.nih.gov/pubmed/31423596
http://dx.doi.org/10.1111/jcpp.13104
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author Alexander, Lindsay M.
Salum, Giovanni A.
Swanson, James M.
Milham, Michael P.
author_facet Alexander, Lindsay M.
Salum, Giovanni A.
Swanson, James M.
Milham, Michael P.
author_sort Alexander, Lindsay M.
collection PubMed
description BACKGROUND: 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 development focused on Panic Disorder, Social Anxiety, Major Depression, and Disruptive Mood Dysregulation Disorder. METHODS: Data were collected from 523 participants (ages 6–17). 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 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 had symmetric distributions. IRT analyses indicate the E‐SWAN subscales provided reliable information about respondents throughout the population distribution; 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. CONCLUSIONS: E‐SWAN bidirectional scales can capture the full spectrum of the population distribution of behavior underlying 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.
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spelling pubmed-69166072019-12-23 Measuring strengths and weaknesses in dimensional psychiatry Alexander, Lindsay M. Salum, Giovanni A. Swanson, James M. Milham, Michael P. J Child Psychol Psychiatry Original Articles BACKGROUND: 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 development focused on Panic Disorder, Social Anxiety, Major Depression, and Disruptive Mood Dysregulation Disorder. METHODS: Data were collected from 523 participants (ages 6–17). 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 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 had symmetric distributions. IRT analyses indicate the E‐SWAN subscales provided reliable information about respondents throughout the population distribution; 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. CONCLUSIONS: E‐SWAN bidirectional scales can capture the full spectrum of the population distribution of behavior underlying 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. John Wiley and Sons Inc. 2019-08-18 2020-01 /pmc/articles/PMC6916607/ /pubmed/31423596 http://dx.doi.org/10.1111/jcpp.13104 Text en © 2019 The Authors. Journal of Child Psychology and Psychiatry published by John Wiley & Sons Ltd on behalf of Association for Child and Adolescent Mental Health. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Alexander, Lindsay M.
Salum, Giovanni A.
Swanson, James M.
Milham, Michael P.
Measuring strengths and weaknesses in dimensional psychiatry
title Measuring strengths and weaknesses in dimensional psychiatry
title_full Measuring strengths and weaknesses in dimensional psychiatry
title_fullStr Measuring strengths and weaknesses in dimensional psychiatry
title_full_unstemmed Measuring strengths and weaknesses in dimensional psychiatry
title_short Measuring strengths and weaknesses in dimensional psychiatry
title_sort measuring strengths and weaknesses in dimensional psychiatry
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6916607/
https://www.ncbi.nlm.nih.gov/pubmed/31423596
http://dx.doi.org/10.1111/jcpp.13104
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