Evidence map›Paper›PMID 36313416›Full record

ArticleSexuality research & social policy : journal of NSRC : SR & SP2022

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

Maria Grazia Vaccaro, Giulia Izzo, Alessia Sarica, Sandro La Vignera, Antonio Aversa

Open access · bronzeAbstract read
In one paragraph

Article in Sexuality research & social policy : journal of NSRC : SR & SP, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Maria Grazia VaccaroDepartment of Medical and Surgical Sciences, Magna Graecia University, 88100 Catanzaro, Italy.ORCID 0000-0001-8666-0461
Giulia Izzo *Department of Medicine, Surgery and Dentistry, University of Salerno, 84081 Baronissi, Salerno, Italy.
Alessia Sarica *Department of Medical and Surgical Sciences, Neuroscience Research Center, Magna Graecia University, 88100 Catanzaro, Italy.
Sandro La VigneraDepartment of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy.
Antonio AversaDepartment of Experimental and Clinical Medicine, University Magna Graecia of Catanzaro, 88100 Catanzaro, Italy.
Magna Graecia University · ITUniversity of Catania · ITUniversity of Salerno · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Cluster analysisCOVID-19Cultural influenceGender differencesSociosexuality

Identifiers

PMID36313416
PMCPMC9589638
OpenAlexW4307298460

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.