Evidence map›Paper›PMID 28800761›Full record

ArticleBMC public health2017

Development of the Adolescent Preoccupation with Screens Scale.

Simon C Hunter, Stephen Houghton, Corinne Zadow, Michael Rosenberg, Lisa Wood, Trevor Shilton, David Lawrence

Abstract readComparative Study
In one paragraph

Article in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. 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

7 authors.

Simon C HunterSchool of Psychological Sciences and Health, University of Strathclyde, Glasgow, Scotland.
Stephen HoughtonGraduate School of Education, The University of Western Australia, Perth, Australia. Stephen.houghton@uwa.edu.au.
Corinne ZadowGraduate School of Education, The University of Western Australia, Perth, Australia.
Michael RosenbergHealth Promotion Evaluation Unit, The University of Western Australia, Perth, Australia.
Lisa WoodSchool of Population Health, The University of Western Australia, Perth, Australia.
Trevor ShiltonNational Heart Foundation, The University of Western Australia, Perth, Australia.
David LawrenceGraduate School of Education, The University of Western Australia, Perth, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough public health concerns have been raised regarding the detrimental health effects of increasing rates of electronic screen use among adolescents, such effects have been small. Instruments currently available tend to be lengthy, have a clinical research focus, and assess young people's screen use on specific screen-based activities (e.g., TV, computer, or internet). None appear to address screen use across a broad range of screens, including mobile devices and screen-based activities. The objective was to develop a new and short self-report scale for investigating adolescents' screen use across all screens and screen-based activities in non-clinical settings.

methodsThe Adolescent Preoccupation with Screens Scale (APSS) was developed over a three stage process. First, a review of the current literature and existing instruments was undertaken and suitable items identified. Second, the draft APSS was piloted with adolescents and item affectivity and discrimination indices were calculated. Third, a cross sectional school based online survey of 1967 Australian adolescents in grades 5 (10 years old), 7 (13 years) and 9 (15 years) from 25 randomly selected schools was conducted.

resultsFactor Analysis on a sub-sample of the data (n = 782) and Confirmatory Factor Analysis on the remaining sub-sample (n = 1185), supported a two-factor model. The first factor reflects adolescents' mood management with screen use, and the second reflects a behavioural preoccupation. The measure demonstrated strong invariance across sex and across Grades 5, 7, and 9. Both factors displayed good internal consistency (α = .91 and .87, respectively). Sex and grade differences on both scales were investigated and boys in Grade 5 reported higher levels of both mood management and behavioural preoccupation with screens. There were no sex differences on mood management in Grades 7 and 9, but girls reported higher behavioural preoccupation in both these later grades.

conclusionThe APSS provides researchers with a new, brief and robust measure of potentially problematic screen use across a wide array of screens, including mobile devices, so readily accessed during adolescence.

Indexed as

AdolescentAge FactorsAustraliaChildComputersCross-Sectional StudiesFactor Analysis, StatisticalFemaleHumansInternetMaleReproducibility of ResultsSchoolsSelf ReportSurveys and QuestionnairesTelevisionAdolescentsPre-occupationProblematicScreen use

Identifiers

PMID28800761
PMCPMC5553924

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.