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Structural Analysis of Social Behavior: Using Cluster Analysis to Examine Intrapsychic Personality Traits Associated With Depression in Women With Breast Cancer
BACKGROUND: This study aimed to investigate personality traits associated with depression in breast cancer women (BCW). METHODS: Sample: 236 BCW recently diagnosed (early stages). Tests: SASB-Structural-Analysis of Social-Behavior; IPAT-CDQ-Depression. Statistical analysis: cluster K-Means analysis...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9379960/ https://www.ncbi.nlm.nih.gov/pubmed/35968604 http://dx.doi.org/10.1177/10732748221103327 |
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author | Vespa, Anna Giulietti, Maria Velia Fabbietti, Paolo Di Rosa, Mirko Gattafoni, Pisana Sarzani, Riccardo Arnaldi, Giorgio Balercia, Giancarlo Berardi, Rossana Salvo, Gianmaria Attademo, Luigi Spatuzzi, Roberta |
author_facet | Vespa, Anna Giulietti, Maria Velia Fabbietti, Paolo Di Rosa, Mirko Gattafoni, Pisana Sarzani, Riccardo Arnaldi, Giorgio Balercia, Giancarlo Berardi, Rossana Salvo, Gianmaria Attademo, Luigi Spatuzzi, Roberta |
author_sort | Vespa, Anna |
collection | PubMed |
description | BACKGROUND: This study aimed to investigate personality traits associated with depression in breast cancer women (BCW). METHODS: Sample: 236 BCW recently diagnosed (early stages). Tests: SASB-Structural-Analysis of Social-Behavior; IPAT-CDQ-Depression. Statistical analysis: cluster K-Means analysis to explore SASB personality-traits considering the 8 SASB clusters (Cl); CDQ scores dichotomized by 50th percentile cutoff (high/low); Pearson’s chi square test to compare CDQ levels and SASB traits. RESULTS: Cluster analysis results supported two distinguishable SASB personality traits (for all SASB Cl-Scales P < .001) classified as “Love and Autonomy” (62.2%) and “Control and Hate” (37.8%). Patients with Love/Autonomy traits are spontaneous, accept their deepest feelings and desire to be close to other people (Cl1, Cl2, Cl3, Cl4). They show a medium value of self-control and a low tendency to self-abusive and self-critical behaviors (Cl5, Cl6). They pay attention to themselves and to their needs at emotional and physical levels also if may be occasionally engaged in self-destructive behaviors (Cl7, Cl8). Women with Control/Hate traits are not spontaneous and do not always express emotions (C1, Cl2, Cl3, Cl4) and flexibility in their relationship with others (Cl5, Cl6). In stressful situations, they may ignore the option of choices for self-growth and neglect their needs and those of others (Cl7, Cl8). BCWs with Control/Hate traits scored higher in depression (P <.001) than those with the Love/Autonomy profile. CONCLUSIONS: Healthcare professionals should be aware of these personality traits and their association with depression to identify the psychologically most vulnerable BCW and improve the care they provide them. The psychotherapeutic intervention should be planned to face on the personality problems. |
format | Online Article Text |
id | pubmed-9379960 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-93799602022-08-17 Structural Analysis of Social Behavior: Using Cluster Analysis to Examine Intrapsychic Personality Traits Associated With Depression in Women With Breast Cancer Vespa, Anna Giulietti, Maria Velia Fabbietti, Paolo Di Rosa, Mirko Gattafoni, Pisana Sarzani, Riccardo Arnaldi, Giorgio Balercia, Giancarlo Berardi, Rossana Salvo, Gianmaria Attademo, Luigi Spatuzzi, Roberta Cancer Control Original Research Article BACKGROUND: This study aimed to investigate personality traits associated with depression in breast cancer women (BCW). METHODS: Sample: 236 BCW recently diagnosed (early stages). Tests: SASB-Structural-Analysis of Social-Behavior; IPAT-CDQ-Depression. Statistical analysis: cluster K-Means analysis to explore SASB personality-traits considering the 8 SASB clusters (Cl); CDQ scores dichotomized by 50th percentile cutoff (high/low); Pearson’s chi square test to compare CDQ levels and SASB traits. RESULTS: Cluster analysis results supported two distinguishable SASB personality traits (for all SASB Cl-Scales P < .001) classified as “Love and Autonomy” (62.2%) and “Control and Hate” (37.8%). Patients with Love/Autonomy traits are spontaneous, accept their deepest feelings and desire to be close to other people (Cl1, Cl2, Cl3, Cl4). They show a medium value of self-control and a low tendency to self-abusive and self-critical behaviors (Cl5, Cl6). They pay attention to themselves and to their needs at emotional and physical levels also if may be occasionally engaged in self-destructive behaviors (Cl7, Cl8). Women with Control/Hate traits are not spontaneous and do not always express emotions (C1, Cl2, Cl3, Cl4) and flexibility in their relationship with others (Cl5, Cl6). In stressful situations, they may ignore the option of choices for self-growth and neglect their needs and those of others (Cl7, Cl8). BCWs with Control/Hate traits scored higher in depression (P <.001) than those with the Love/Autonomy profile. CONCLUSIONS: Healthcare professionals should be aware of these personality traits and their association with depression to identify the psychologically most vulnerable BCW and improve the care they provide them. The psychotherapeutic intervention should be planned to face on the personality problems. SAGE Publications 2022-08-14 /pmc/articles/PMC9379960/ /pubmed/35968604 http://dx.doi.org/10.1177/10732748221103327 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Article Vespa, Anna Giulietti, Maria Velia Fabbietti, Paolo Di Rosa, Mirko Gattafoni, Pisana Sarzani, Riccardo Arnaldi, Giorgio Balercia, Giancarlo Berardi, Rossana Salvo, Gianmaria Attademo, Luigi Spatuzzi, Roberta Structural Analysis of Social Behavior: Using Cluster Analysis to Examine Intrapsychic Personality Traits Associated With Depression in Women With Breast Cancer |
title | Structural Analysis of Social Behavior: Using Cluster Analysis to
Examine Intrapsychic Personality Traits Associated With Depression in Women With
Breast Cancer |
title_full | Structural Analysis of Social Behavior: Using Cluster Analysis to
Examine Intrapsychic Personality Traits Associated With Depression in Women With
Breast Cancer |
title_fullStr | Structural Analysis of Social Behavior: Using Cluster Analysis to
Examine Intrapsychic Personality Traits Associated With Depression in Women With
Breast Cancer |
title_full_unstemmed | Structural Analysis of Social Behavior: Using Cluster Analysis to
Examine Intrapsychic Personality Traits Associated With Depression in Women With
Breast Cancer |
title_short | Structural Analysis of Social Behavior: Using Cluster Analysis to
Examine Intrapsychic Personality Traits Associated With Depression in Women With
Breast Cancer |
title_sort | structural analysis of social behavior: using cluster analysis to
examine intrapsychic personality traits associated with depression in women with
breast cancer |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9379960/ https://www.ncbi.nlm.nih.gov/pubmed/35968604 http://dx.doi.org/10.1177/10732748221103327 |
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