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Predicting Intense Levels of Child Anxiety During Anesthesia Induction at Hospital Arrival
In children, intense levels of anxiety during anesthetic induction are associated with a higher risk of pain, poor recovery, and emergence delirium. Therefore, it is important to identify these high-risk children at hospital arrival. The current study examined internalizing behavior (Child Behavior...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8192387/ https://www.ncbi.nlm.nih.gov/pubmed/32306238 http://dx.doi.org/10.1007/s10880-020-09716-6 |
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author | Eijlers, Robin Staals, Lonneke M. Legerstee, Jeroen S. Berghmans, Johan M. Strabbing, Elske M. van der Schroeff, Marc P. Wijnen, René M. H. Kind, Laura S. Hillegers, Manon H. J. Dierckx, Bram Utens, Elisabeth M. W. J. |
author_facet | Eijlers, Robin Staals, Lonneke M. Legerstee, Jeroen S. Berghmans, Johan M. Strabbing, Elske M. van der Schroeff, Marc P. Wijnen, René M. H. Kind, Laura S. Hillegers, Manon H. J. Dierckx, Bram Utens, Elisabeth M. W. J. |
author_sort | Eijlers, Robin |
collection | PubMed |
description | In children, intense levels of anxiety during anesthetic induction are associated with a higher risk of pain, poor recovery, and emergence delirium. Therefore, it is important to identify these high-risk children at hospital arrival. The current study examined internalizing behavior (Child Behavior Checklist, CBCL) and state anxiety measures (modified Yale Preoperative Anxiety Scale, mYPAS, and State Trait Anxiety Inventory for Children, STAIC) at hospital arrival as predictors of anxiety during induction of anesthesia. One hundred children (aged 4 to 12 years) undergoing elective daycare surgery were included. The STAIC and mYPAS at hospital arrival were significant predictors of anxiety during induction, whereas CBCL was not. The STAIC state form at hospital arrival was the strongest predictor and could be used to identify children who will experience intense levels of anxiety during anesthetic induction, with sufficient to good diagnostic accuracy. Using the STAIC at hospital arrival allows targeted interventions to reduce anxiety in children. |
format | Online Article Text |
id | pubmed-8192387 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-81923872021-06-28 Predicting Intense Levels of Child Anxiety During Anesthesia Induction at Hospital Arrival Eijlers, Robin Staals, Lonneke M. Legerstee, Jeroen S. Berghmans, Johan M. Strabbing, Elske M. van der Schroeff, Marc P. Wijnen, René M. H. Kind, Laura S. Hillegers, Manon H. J. Dierckx, Bram Utens, Elisabeth M. W. J. J Clin Psychol Med Settings Article In children, intense levels of anxiety during anesthetic induction are associated with a higher risk of pain, poor recovery, and emergence delirium. Therefore, it is important to identify these high-risk children at hospital arrival. The current study examined internalizing behavior (Child Behavior Checklist, CBCL) and state anxiety measures (modified Yale Preoperative Anxiety Scale, mYPAS, and State Trait Anxiety Inventory for Children, STAIC) at hospital arrival as predictors of anxiety during induction of anesthesia. One hundred children (aged 4 to 12 years) undergoing elective daycare surgery were included. The STAIC and mYPAS at hospital arrival were significant predictors of anxiety during induction, whereas CBCL was not. The STAIC state form at hospital arrival was the strongest predictor and could be used to identify children who will experience intense levels of anxiety during anesthetic induction, with sufficient to good diagnostic accuracy. Using the STAIC at hospital arrival allows targeted interventions to reduce anxiety in children. Springer US 2020-04-18 2021 /pmc/articles/PMC8192387/ /pubmed/32306238 http://dx.doi.org/10.1007/s10880-020-09716-6 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Eijlers, Robin Staals, Lonneke M. Legerstee, Jeroen S. Berghmans, Johan M. Strabbing, Elske M. van der Schroeff, Marc P. Wijnen, René M. H. Kind, Laura S. Hillegers, Manon H. J. Dierckx, Bram Utens, Elisabeth M. W. J. Predicting Intense Levels of Child Anxiety During Anesthesia Induction at Hospital Arrival |
title | Predicting Intense Levels of Child Anxiety During Anesthesia Induction at Hospital Arrival |
title_full | Predicting Intense Levels of Child Anxiety During Anesthesia Induction at Hospital Arrival |
title_fullStr | Predicting Intense Levels of Child Anxiety During Anesthesia Induction at Hospital Arrival |
title_full_unstemmed | Predicting Intense Levels of Child Anxiety During Anesthesia Induction at Hospital Arrival |
title_short | Predicting Intense Levels of Child Anxiety During Anesthesia Induction at Hospital Arrival |
title_sort | predicting intense levels of child anxiety during anesthesia induction at hospital arrival |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8192387/ https://www.ncbi.nlm.nih.gov/pubmed/32306238 http://dx.doi.org/10.1007/s10880-020-09716-6 |
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