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Cluster Analysis Method Reveals Gender Attitudes in Sociosexual Orientation of a Southern Italy Population During the COVID-19 Lockdown

INTRODUCTION: The COVID-19 epidemic and its lockdown dramatically impacted the general well-being of the population and affected sociosexual experiences, thus modifying sexual behavior, desire, and well-being. Clustering analysis has not yet been applied to research and data investigating sociosexua...

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Detalles Bibliográficos
Autores principales: Vaccaro, Maria Grazia, Izzo, Giulia, Sarica, Alessia, La Vignera, Sandro, Aversa, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9589638/
https://www.ncbi.nlm.nih.gov/pubmed/36313416
http://dx.doi.org/10.1007/s13178-022-00771-2
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author Vaccaro, Maria Grazia
Izzo, Giulia
Sarica, Alessia
La Vignera, Sandro
Aversa, Antonio
author_facet Vaccaro, Maria Grazia
Izzo, Giulia
Sarica, Alessia
La Vignera, Sandro
Aversa, Antonio
author_sort Vaccaro, Maria Grazia
collection PubMed
description INTRODUCTION: The COVID-19 epidemic and its lockdown dramatically impacted the general well-being of the population and affected sociosexual experiences, thus modifying sexual behavior, desire, and well-being. Clustering analysis has not yet been applied to research and data investigating sociosexuality. The cluster analysis method could be a valid support for clinicians in investigating the condition of a population with respect to problems related to sociosexuality. The aim of the present study was to analyze the different perceptions of the sociosexual experiences in southern population during the COVID-19 pandemic. METHODS: We enrolled 734 (450 female) participants with a carried out anonymous web-based survey from the 16th of April 2020 to the 3rd June of 2020. The revised Sociosexual Orientation Inventory (SOI-R) is a self-report test assessing three theoretically meaningful facets of sociosexual orientation (behavior, attitude, and desire). RESULTS: We found eleven clusters, and the findings showed, for the first time, an intra- and inter-diagnostic heterogeneity in the sexual profile of participants. Theoretically, we identified subtype clusters whose sexual attitude was to avoid sexual promiscuity with significant gender differences. Women show a greater propensity for attitude and desire facet than men. CONCLUSIONS: Our new method of unsupervised learning could represent a reliable tool to support socio-cultural analysis studies on issues influenced by cultural mechanisms in a quick and explanatory way, as in the case of sexual orientation and attitude differences between men and women. SOCIAL AND POLICY IMPLICATIONS: Understanding these gaps is fundamental for policy makers, managers of social networks, those who deal with engaged couples and families, and sexuality starting from the very youngest adolescents. We claim to devise a strategy to measure how much a sexist culture implicitly and explicitly limits the freedom of sexual expression and how this can affect psycho-sexual well-being in a society. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13178-022-00771-2.
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spelling pubmed-95896382022-10-24 Cluster Analysis Method Reveals Gender Attitudes in Sociosexual Orientation of a Southern Italy Population During the COVID-19 Lockdown Vaccaro, Maria Grazia Izzo, Giulia Sarica, Alessia La Vignera, Sandro Aversa, Antonio Sex Res Social Policy Article INTRODUCTION: The COVID-19 epidemic and its lockdown dramatically impacted the general well-being of the population and affected sociosexual experiences, thus modifying sexual behavior, desire, and well-being. Clustering analysis has not yet been applied to research and data investigating sociosexuality. The cluster analysis method could be a valid support for clinicians in investigating the condition of a population with respect to problems related to sociosexuality. The aim of the present study was to analyze the different perceptions of the sociosexual experiences in southern population during the COVID-19 pandemic. METHODS: We enrolled 734 (450 female) participants with a carried out anonymous web-based survey from the 16th of April 2020 to the 3rd June of 2020. The revised Sociosexual Orientation Inventory (SOI-R) is a self-report test assessing three theoretically meaningful facets of sociosexual orientation (behavior, attitude, and desire). RESULTS: We found eleven clusters, and the findings showed, for the first time, an intra- and inter-diagnostic heterogeneity in the sexual profile of participants. Theoretically, we identified subtype clusters whose sexual attitude was to avoid sexual promiscuity with significant gender differences. Women show a greater propensity for attitude and desire facet than men. CONCLUSIONS: Our new method of unsupervised learning could represent a reliable tool to support socio-cultural analysis studies on issues influenced by cultural mechanisms in a quick and explanatory way, as in the case of sexual orientation and attitude differences between men and women. SOCIAL AND POLICY IMPLICATIONS: Understanding these gaps is fundamental for policy makers, managers of social networks, those who deal with engaged couples and families, and sexuality starting from the very youngest adolescents. We claim to devise a strategy to measure how much a sexist culture implicitly and explicitly limits the freedom of sexual expression and how this can affect psycho-sexual well-being in a society. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13178-022-00771-2. Springer US 2022-10-24 /pmc/articles/PMC9589638/ /pubmed/36313416 http://dx.doi.org/10.1007/s13178-022-00771-2 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Vaccaro, Maria Grazia
Izzo, Giulia
Sarica, Alessia
La Vignera, Sandro
Aversa, Antonio
Cluster Analysis Method Reveals Gender Attitudes in Sociosexual Orientation of a Southern Italy Population During the COVID-19 Lockdown
title Cluster Analysis Method Reveals Gender Attitudes in Sociosexual Orientation of a Southern Italy Population During the COVID-19 Lockdown
title_full Cluster Analysis Method Reveals Gender Attitudes in Sociosexual Orientation of a Southern Italy Population During the COVID-19 Lockdown
title_fullStr Cluster Analysis Method Reveals Gender Attitudes in Sociosexual Orientation of a Southern Italy Population During the COVID-19 Lockdown
title_full_unstemmed Cluster Analysis Method Reveals Gender Attitudes in Sociosexual Orientation of a Southern Italy Population During the COVID-19 Lockdown
title_short Cluster Analysis Method Reveals Gender Attitudes in Sociosexual Orientation of a Southern Italy Population During the COVID-19 Lockdown
title_sort cluster analysis method reveals gender attitudes in sociosexual orientation of a southern italy population during the covid-19 lockdown
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9589638/
https://www.ncbi.nlm.nih.gov/pubmed/36313416
http://dx.doi.org/10.1007/s13178-022-00771-2
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