Evidence map›Paper›PMID 40426350›Full record

ArticleBehavioral sciences (Basel, Switzerland)2025

The Dark Side of Boys' Compliments to Girls: Exploring Their Relationship with Sexism and Cyberviolence Towards Intimate Partners.

Yolanda Rodríguez-Castro, Rosana Martínez-Román, María Lameiras-Fernández

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2025. 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
–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

1 citing paper in PubMed.

  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

3 authors.

Yolanda Rodríguez-CastroFaculty of Education and Social Work, University of Vigo, 32004 Ourense, Spain.ORCID 0000-0001-9965-2348
Rosana Martínez-RománFaculty of Education and Social Work, University of Vigo, 32004 Ourense, Spain.ORCID 0000-0002-1122-5585
María Lameiras-FernándezFaculty of Education and Social Work, University of Vigo, 32004 Ourense, Spain.

Funding

The Government of Spain (Ministry of Science and Innovation-Programs for the Generation of Knowledge oriented to the Challenges of Society, 2019), (reference PID2019-109613RB-I00). Grants for the consolidation of research groups of the Galician Regional G (reference PID2019-109613RB-I00).
6 · The paper itself

Abstract

The objective of this study was to evaluate the frequency with which boys "compliment" girls, know their perceptions about whether girls like compliments, and discen whether they believe that society expects them to make such comments. The relationship of such compliments with the level of ambivalent sexism and cyberviolence towards the partner was also evaluated. A total of 498 adolescent boys participated in this study, with a mean age of 16.01 years (SD = 1.02), recruited with the Computer-Assisted Web Interviewing (CAWI) system. The main results obtained show that younger boys more frequently emit objectifying messages about women's bodies than older boys. They believe these comments positively impact girls, thinking they are appreciated. These boys, especially younger boys, show higher levels of hostile and benevolent sexism and perform more cyberviolence towards their partners. Boys' level of partner cybercontrol predicts the emission of comments about women's bodies, especially in boys with a high level of hostile sexism. Therefore, to prevent sexual harassment, gender-based cyberviolence, and sexism, it is crucial for the educational system to promote comprehensive sex education.

Indexed as

adolescentcomplimentcyberviolencepartnerssexism

Identifiers

PMID40426350
PMCPMC12109193

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.