Evidence map›Paper›PMID 38151570›Full record

ArticleArchives of sexual behavior2024

A Latent Profile Analysis of Greek University Students' Sexting Profiles: Associations with Big Five Personality Traits.

Constantinos M Kokkinos, Christina Krommida, Angelos Markos, Ioanna Voulgaridou

Abstract read
In one paragraph

Article in Archives of sexual behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

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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

4 authors.

Constantinos M KokkinosDepartment of Primary Education, School of Education Sciences, Democritus University of Thrace, N. Hili, 68131, Alexandroupolis, Greece. kkokkino@eled.duth.gr.ORCID 0000-0002-8303-3769
Christina KrommidaDepartment of Primary Education, School of Education Sciences, Democritus University of Thrace, N. Hili, 68131, Alexandroupolis, Greece.
Angelos MarkosDepartment of Primary Education, School of Education Sciences, Democritus University of Thrace, N. Hili, 68131, Alexandroupolis, Greece.
Ioanna VoulgaridouDepartment of Primary Education, School of Education Sciences, Democritus University of Thrace, N. Hili, 68131, Alexandroupolis, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to examine the associations between sexting profiles and five factor model (FFM) personality traits among Greek university students. A sample of 2913 participants predominantly aged between 18 and 25 years (M = 22; SD = 3.54; 69.6% females) completed a self-report online questionnaire that measured sexting behaviors and FFM traits. Latent profile analysis identified five distinct profiles which were labeled uninvolved, consensual sexters, non-consensual sexters, unwanted sexters, and highly involved sexters. The different sexting profiles were associated with distinct patterns of FFM trait scores. Specifically, the uninvolved scored higher on agreeableness, conscientiousness, and openness than those highly involved in sexting, consensual, non-consensual, and unwanted sexters. Furthermore, those who sent unwanted sexts were more likely to be emotionally unstable than the consensual sexters and those not involved. These findings indicate that sexting behaviors may be related to certain personality traits and emphasize the importance of considering individual differences when studying sexting behaviors. The practical implications of the findings are discussed.

Indexed as

Sexual BehaviorText MessagingAdolescentAdultFemaleHumansMalePersonalityStudentsUniversitiesYoung AdultBig FiveLatent profile analysisNon-consensualSextingSexual orientationUniversity students

Identifiers

PMID38151570
PMCPMC10920438

What OpenQuestion holds

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Registered trials

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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.