Evidence map›Paper›PMID 33803516›Full record

ArticleInternational journal of environmental research and public health2021

How Do Cyber Victimization and Low Core Self-Evaluations Interrelate in Predicting Adolescent Problematic Technology Use?

María Angeles Peláez-Fernández, María Teresa Chamizo-Nieto, Lourdes Rey, Natalio Extremera

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 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.

María Angeles Peláez-FernándezDepartment of Social Psychology, Social Work, Social Anthropology and East Asian Studies, University of Málaga, 29071 Málaga, Spain.ORCID 0000-0001-9142-0139
María Teresa Chamizo-NietoDepartment of Personality, Assessment and Psychological Treatment, University of Málaga, 29071 Málaga, Spain.ORCID 0000-0002-2440-8794
Lourdes ReyDepartment of Personality, Assessment and Psychological Treatment, University of Málaga, 29071 Málaga, Spain.ORCID 0000-0003-1394-1646
Natalio ExtremeraDepartment of Social Psychology, Social Work, Social Anthropology and East Asian Studies, University of Málaga, 29071 Málaga, Spain.ORCID 0000-0002-8874-7912

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research has demonstrated that cyber victimization is consistently associated with higher problem behaviors such as problematic technology use. However, little research has examined specific individual dispositions that can serve as a buffer in the link between cyber victimization and higher problematic uses of technology (i.e., problematic Internet, smartphone, and social media), such as core self-evaluations (CSE). A convenience sample of 1211 high school students, 657 females, 554 males, aged 12 to 18 (mean age = 13.74) completed measures of cyber victimization, CSE, and different problematic technology-related behaviors. Results of correlational analysis revealed significant associations between cyber victimization and all problematic uses of technology. Our findings also suggested that high CSE weakened the relationship between cyber victimization and two of the three problematic uses of technology. Consistent with social compensation theory, cyber victimization was concurrently linked to different problematic uses of technology. Low CSE also strengthened the link between cyber victimization and problems use of smartphones and social media and also showed a marginally significant interaction with cyber victimization in predicting problematic Internet use. Implications of these preliminary findings are discussed and avenues for further research are offered.

Indexed as

BullyingCrime VictimsCyberbullyingAdolescentChildDiagnostic Self EvaluationFemaleHumansInternetMaleTechnologyanxietybuffering effectcore self-evaluationscyber victimizationproblematic technology usestress

Identifiers

PMID33803516
PMCPMC8002969

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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.