Evidence map›Paper›PMID 32844251›Full record

ArticleInternational journal of public health2020

Social constraints associated with excessive internet use in adolescents: the role of family, school, peers, and neighbourhood.

Lukas Blinka, Nika Šablatúrová, Anna Ševčíková, Daniela Husarova

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Article in International journal of public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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.

Lukas BlinkaFaculty of Social Studies, Masaryk University, Joštova 10, 60200, Brno, Czech Republic. lukasblinka@gmail.com.ORCID http://orcid.org/0000-0003-0380-4744
Nika ŠablatúrováFaculty of Social Studies, Masaryk University, Joštova 10, 60200, Brno, Czech Republic.
Anna ŠevčíkováFaculty of Social Studies, Masaryk University, Joštova 10, 60200, Brno, Czech Republic.
Daniela HusarovaDepartment of Health Psychology and Methodology Research, Faculty of Medicine, P.J. Safarik University in Kosice, Kosice, Slovakia.

Funding

Agentúra na Podporu Výskumu a Vývoja APVV-18-0070Masarykova Univerzita MUNI/A/1297/2019
6 · The paper itself

Abstract

objectivesExcessive internet use (EIU) has been studied predominantly within the context of individual risk factors. Less attention has been paid to social factors, especially in a fashion complex enough to include the multiple domains of adolescent socialization. This study examined the relationship between EIU and constraints within family, school, peer groups, and neighbourhoods, while controlling for emotional and behavioural difficulties.

methodsThis study was based on survey data from the Health Behaviour in School-aged Children study, which was conducted in Slovakia in 2018. The sample of representative adolescents totalled 8400 (mean age: 13.44 years; SD

resultsMultiple-step linear regression revealed that, after controlling for sociodemographic factors and emotional and behavioural difficulties, peer problems had the least effect, while the constraints related to family and neighbourhood stood out as especially problematic. Combined variables explained 20% variance of EIU.

conclusionsSocial constraints proved to be important factors in adolescent EIU. The important role of a problematic neighbourhood is a novel finding and suggests that it should be targeted in prevention.

Indexed as

Residence CharacteristicsSchoolsAdolescentAdolescent BehaviorAdultChildFamily RelationsFemaleHumansInternet UseMalePeer GroupSlovakiaSocial IsolationSurveys and QuestionnairesAdolescentsExcessive internet useInternet addictionProblematic neighbourhoodSocial constraints

Identifiers

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.