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Applying Socio-Emotional Information Processing theory to explain child abuse risk: Emerging patterns from the COVID-19 pandemic()

BACKGROUND: The COVID-19 pandemic exerted profound effects on parents, which may translate into elevated child abuse risk. Prior literature demonstrates that Social Information Processing theory is a useful framework for understanding the cognitive processes that can contribute to parental abuse ris...

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Autores principales: Rodriguez, Christina M., Lee, Shawna J., Ward, Kaitlin P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9663754/
https://www.ncbi.nlm.nih.gov/pubmed/36442419
http://dx.doi.org/10.1016/j.chiabu.2022.105954
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author Rodriguez, Christina M.
Lee, Shawna J.
Ward, Kaitlin P.
author_facet Rodriguez, Christina M.
Lee, Shawna J.
Ward, Kaitlin P.
author_sort Rodriguez, Christina M.
collection PubMed
description BACKGROUND: The COVID-19 pandemic exerted profound effects on parents, which may translate into elevated child abuse risk. Prior literature demonstrates that Social Information Processing theory is a useful framework for understanding the cognitive processes that can contribute to parental abuse risk, but the model has not adequately integrated affective processes that may coincide with such cognitions. OBJECTIVE: Given parents experienced intense emotions during the pandemic, the current study sought to examine how socio-emotional processes might account for abuse risk during the pandemic (perceived pandemic-related increases in harsh parenting, reported physical and psychological aggression, and child abuse potential). PARTICIPANTS AND METHODS: Using two groups of mothers participating in online studies, the combined sample of 304 mothers reported on their abuse risk and cognitive and anger processes. RESULTS: Greater approval of physical discipline and weaker anger regulation abilities were directly or indirectly related to measures of abuse risk during the pandemic, with maternal justification to use parent-child aggression to ensure obedience consistently relating to all indicators of abuse risk during the pandemic. CONCLUSIONS: Socio-emotional processes that include anger appear particularly relevant during the heightened period of strain induced by the pandemic. By studying multiple factors simultaneously, the current findings can inform child abuse prevention efforts.
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spelling pubmed-96637542022-11-14 Applying Socio-Emotional Information Processing theory to explain child abuse risk: Emerging patterns from the COVID-19 pandemic() Rodriguez, Christina M. Lee, Shawna J. Ward, Kaitlin P. Child Abuse Negl Article BACKGROUND: The COVID-19 pandemic exerted profound effects on parents, which may translate into elevated child abuse risk. Prior literature demonstrates that Social Information Processing theory is a useful framework for understanding the cognitive processes that can contribute to parental abuse risk, but the model has not adequately integrated affective processes that may coincide with such cognitions. OBJECTIVE: Given parents experienced intense emotions during the pandemic, the current study sought to examine how socio-emotional processes might account for abuse risk during the pandemic (perceived pandemic-related increases in harsh parenting, reported physical and psychological aggression, and child abuse potential). PARTICIPANTS AND METHODS: Using two groups of mothers participating in online studies, the combined sample of 304 mothers reported on their abuse risk and cognitive and anger processes. RESULTS: Greater approval of physical discipline and weaker anger regulation abilities were directly or indirectly related to measures of abuse risk during the pandemic, with maternal justification to use parent-child aggression to ensure obedience consistently relating to all indicators of abuse risk during the pandemic. CONCLUSIONS: Socio-emotional processes that include anger appear particularly relevant during the heightened period of strain induced by the pandemic. By studying multiple factors simultaneously, the current findings can inform child abuse prevention efforts. Elsevier Ltd. 2023-01 2022-11-15 /pmc/articles/PMC9663754/ /pubmed/36442419 http://dx.doi.org/10.1016/j.chiabu.2022.105954 Text en © 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Rodriguez, Christina M.
Lee, Shawna J.
Ward, Kaitlin P.
Applying Socio-Emotional Information Processing theory to explain child abuse risk: Emerging patterns from the COVID-19 pandemic()
title Applying Socio-Emotional Information Processing theory to explain child abuse risk: Emerging patterns from the COVID-19 pandemic()
title_full Applying Socio-Emotional Information Processing theory to explain child abuse risk: Emerging patterns from the COVID-19 pandemic()
title_fullStr Applying Socio-Emotional Information Processing theory to explain child abuse risk: Emerging patterns from the COVID-19 pandemic()
title_full_unstemmed Applying Socio-Emotional Information Processing theory to explain child abuse risk: Emerging patterns from the COVID-19 pandemic()
title_short Applying Socio-Emotional Information Processing theory to explain child abuse risk: Emerging patterns from the COVID-19 pandemic()
title_sort applying socio-emotional information processing theory to explain child abuse risk: emerging patterns from the covid-19 pandemic()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9663754/
https://www.ncbi.nlm.nih.gov/pubmed/36442419
http://dx.doi.org/10.1016/j.chiabu.2022.105954
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