Evidence map›Paper›PMID 38201003›Full record

ArticleHealthcare (Basel, Switzerland)2023

Understanding Children's Online Victimization through the Psychosocial Lens: The Roles of Loneliness, Online Social Currency, and Digital Citizenship.

Yi-Ping Hsieh, Bonni Gourneau

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Yi-Ping HsiehDepartment of Social Work, College of Nursing and Professional Disciplines, University of North Dakota, Grand Forks, ND 58202, USA.ORCID 0000-0002-8218-2228
Bonni GourneauDepartment of Teaching, Leadership and Professional Practice, College of Education and Human Development, University of North Dakota, Grand Forks, ND 58202, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study employed a risk and resilience framework to investigate the influence of multidimensional factors, considering psychosocial and behavioral aspects, on online victimization among fifth-grade children (ages 10-11). Loneliness, online social currency disturbance, and digital citizenship were examined as predictors of online victimization. Data were collected from 196 students through a self-reported online survey conducted on electronic devices provided by the schools. The findings indicated that 78.6% of fifth-graders owned a smartphone, 70.9% had a gaming console, and the most common online activities were playing online gaming (73%), talking with friends (62.8%), and seeking entertainment (62.2%). Online victimization was prevalent, with 30.8% of children reporting they had been called bad names, 24.7% receiving rude comments, 15.9% expressing feelings of worry or threat due to online harassment, and 3.1% experiencing cyberbullying lasting for days. Furthermore, the results revealed a negative association between digital citizenship and online victimization, while loneliness and online social currency disturbance were positively associated with online victimization after accounting for children's gender and time spent online. In conclusion, this study suggests that efforts to prevent and address online victimization should prioritize promoting digital citizenship and increasing awareness of the roles of loneliness and social currency disturbances in online social dynamics.

Indexed as

digital citizenshiplonelinessonline activitiesonline social capitalonline victimizationsocial currency

Identifiers

PMID38201003
PMCPMC10779189

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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.