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Interrogative suggestibility in the elderly

Interrogative suggestibility (IS) describes the extent to which an individual behavioral response is affected by messages communicated during formal questioning within a closed social interaction. The present study aimed at improving knowledge about IS in the elderly (aged 65 years and older), in pa...

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Autores principales: Biondi, Silvia, Mazza, Cristina, Orrù, Graziella, Monaro, Merylin, Ferracuti, Stefano, Ricci, Eleonora, Di Domenico, Alberto, Roma, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7668574/
https://www.ncbi.nlm.nih.gov/pubmed/33196666
http://dx.doi.org/10.1371/journal.pone.0241353
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author Biondi, Silvia
Mazza, Cristina
Orrù, Graziella
Monaro, Merylin
Ferracuti, Stefano
Ricci, Eleonora
Di Domenico, Alberto
Roma, Paolo
author_facet Biondi, Silvia
Mazza, Cristina
Orrù, Graziella
Monaro, Merylin
Ferracuti, Stefano
Ricci, Eleonora
Di Domenico, Alberto
Roma, Paolo
author_sort Biondi, Silvia
collection PubMed
description Interrogative suggestibility (IS) describes the extent to which an individual behavioral response is affected by messages communicated during formal questioning within a closed social interaction. The present study aimed at improving knowledge about IS in the elderly (aged 65 years and older), in particular about its association with both emotive/affective and cognitive variables. The sample (N = 172) was divided into three groups on the basis of age: late adult (aged 55–64, N = 59), young elderly (aged 65–74, N = 63), and elderly (aged 75 and older, N = 50). Cognitive (i.e., Kaufman Brief Intelligence Test-2, Rey Auditory Verbal Learning Test), emotive/affective (i.e., Rosenberg Self-Esteem Scale, Marlowe–Crowne Social Desirability Scale, Penn State Worry Questionnaire) and suggestibility measures (i.e., Gudjonsson Suggestibility Scale-2) were administered. In order to identify differences and associations between groups in IS, cognitive and emotive/affective variables, ANOVAs tests and Pearson’s correlations were run. Furthermore, moderation analyses and hierarchical regression were set to determine whether age, cognitive and emotive/affective variables predicted IS components (i.e., Yield and Shift). Finally, machine learning models were developed to highlight the best strategy for classifying elderly subjects with high suggestibility. The results corroborated the significant link between IS and age, showing that elderly participants had the worst performance on all suggestibility indexes. Age was also the most important predictor of both Yield and Shift. Results also confirmed the important role of non-verbal intelligence and memory impairment in explaining IS dimensions, showing that these associations were stronger in young elderly and elderly groups. Implications about interrogative procedures with older adults were discussed.
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spelling pubmed-76685742020-11-19 Interrogative suggestibility in the elderly Biondi, Silvia Mazza, Cristina Orrù, Graziella Monaro, Merylin Ferracuti, Stefano Ricci, Eleonora Di Domenico, Alberto Roma, Paolo PLoS One Research Article Interrogative suggestibility (IS) describes the extent to which an individual behavioral response is affected by messages communicated during formal questioning within a closed social interaction. The present study aimed at improving knowledge about IS in the elderly (aged 65 years and older), in particular about its association with both emotive/affective and cognitive variables. The sample (N = 172) was divided into three groups on the basis of age: late adult (aged 55–64, N = 59), young elderly (aged 65–74, N = 63), and elderly (aged 75 and older, N = 50). Cognitive (i.e., Kaufman Brief Intelligence Test-2, Rey Auditory Verbal Learning Test), emotive/affective (i.e., Rosenberg Self-Esteem Scale, Marlowe–Crowne Social Desirability Scale, Penn State Worry Questionnaire) and suggestibility measures (i.e., Gudjonsson Suggestibility Scale-2) were administered. In order to identify differences and associations between groups in IS, cognitive and emotive/affective variables, ANOVAs tests and Pearson’s correlations were run. Furthermore, moderation analyses and hierarchical regression were set to determine whether age, cognitive and emotive/affective variables predicted IS components (i.e., Yield and Shift). Finally, machine learning models were developed to highlight the best strategy for classifying elderly subjects with high suggestibility. The results corroborated the significant link between IS and age, showing that elderly participants had the worst performance on all suggestibility indexes. Age was also the most important predictor of both Yield and Shift. Results also confirmed the important role of non-verbal intelligence and memory impairment in explaining IS dimensions, showing that these associations were stronger in young elderly and elderly groups. Implications about interrogative procedures with older adults were discussed. Public Library of Science 2020-11-16 /pmc/articles/PMC7668574/ /pubmed/33196666 http://dx.doi.org/10.1371/journal.pone.0241353 Text en © 2020 Biondi et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Biondi, Silvia
Mazza, Cristina
Orrù, Graziella
Monaro, Merylin
Ferracuti, Stefano
Ricci, Eleonora
Di Domenico, Alberto
Roma, Paolo
Interrogative suggestibility in the elderly
title Interrogative suggestibility in the elderly
title_full Interrogative suggestibility in the elderly
title_fullStr Interrogative suggestibility in the elderly
title_full_unstemmed Interrogative suggestibility in the elderly
title_short Interrogative suggestibility in the elderly
title_sort interrogative suggestibility in the elderly
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7668574/
https://www.ncbi.nlm.nih.gov/pubmed/33196666
http://dx.doi.org/10.1371/journal.pone.0241353
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