Evidence map›Paper›PMID 37362618›Full record

ArticlePsychosocial intervention2022

Smartphone Addiction, Social Support, and Cybercrime Victimization: A Discrete Survival and Growth Mixture Model.

Juan Herrero, Andrea Torres, Pep Vivas, Alberto Urueña

Open access · diamondAbstract read
In one paragraph

Article in Psychosocial intervention, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
7.6field-weighted citation impact, top 3% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Does Smartphone Addiction Fall on a Continuum of Addictive Behaviors?International journal of environmental research and public health · 2020
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  14. A test of the pathway model of problematic smartphone use.Journal of behavioral addictions · 2021
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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 at 3 institutions in 1 country.

Juan HerreroUniversity of Oviedo Oviedo Spain University of Oviedo, Spain.
Andrea TorresUniversity of Oviedo Oviedo Spain University of Oviedo, Spain.
Pep VivasUniversitat Oberta de Cataluña Barcelona Spain Universitat Oberta de Cataluña, Barcelona, Spain.
Alberto UrueñaUniversidad Politécnica de Madrid Madrid Spain Universidad Politécnica de Madrid, Spain.
Universidad de Oviedo · ESUniversidad Politécnica de Madrid · ESUniversitat Oberta de Catalunya · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent decades, criminological theories have identified a set of vulnerabilities in potential victims that seek to explain their victimization. When it comes to explaining cybercrime victimization, however, the important role that addiction to the vulnerabilities associated with technological devices can play has tended to be overlooked. In this paper we empirically link smartphone addiction, social support, and cyberfraud victimization in a nationally representative sample of 716 smartphone users followed for three years. The results of discrete survival and growth mixture models suggest that the probability of cyberfraud victimization is lower among users with a decrease in smartphone addiction and an increase in social support over the three years. These results allow us to suggest new avenues in the study of cybercrime victimization, with special emphasis on the psychosocial consequences that the deregulated use of these technological devices may entail.

Indexed as

Cybercrime victimizationLatent growth mixture modelingSmartphone addictionSocial supportSurvival curves

Identifiers

PMID37362618
PMCPMC10268539
OpenAlexW4200068025

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.