Evidence map›Paper›PMID 42439038›Full record

ArticleBritish journal of health psychology2026

Beyond self-report: The relationship between daily social media use and sleep in university students.

Hayley Breare, Thomas McAlpine, Jessica Charlesworth, Patrick Clarke, Barbara A Mullan

Abstract read
In one paragraph

Article in British journal of health psychology, 2026. 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

5 authors.

Hayley BreareSchool of Population Health, Curtin University, Bentley, Western Australia, Australia.ORCID https://orcid.org/0000-0001-9523-8588
Thomas McAlpineSchool of Population Health, Curtin University, Bentley, Western Australia, Australia.
Jessica CharlesworthSchool of Population Health, Curtin University, Bentley, Western Australia, Australia.
Patrick ClarkeSchool of Population Health, Curtin University, Bentley, Western Australia, Australia.
Barbara A MullanSchool of Population Health, Curtin University, Bentley, Western Australia, Australia.

Funding

Australian Government
6 · The paper itself

Abstract

objectivesUniversity students regularly report insufficient sleep, with almost one-third of students achieving less than 6.5 hours per night. Social media is one behaviour shown to negatively influence sleep. However, there has been a reliance on self-report measures of both processes, which may not reflect objective behaviour. The aim was to determine if there is a relationship between social media use and sleep outcomes when measured objectively, and if so, which sleep outcomes were associated with social media use.

designA longitudinal repeated measures design was used to assess daily social media use and sleep outcomes over 14 days.

methodsParticipants wore accelerometers to measure their sleep, with total daily social media use derived from smartphone data.

resultsSixty-two participants (M

conclusionsFindings indicate that the duration of time spent on social media does not impact sleep across this sample. However, interactions with different social media platforms such as TikTok and Snapchat may play an important role in influencing sleep quality. These findings suggest that behavioural measures do not reflect the same pattern of effects observed with self-report, highlighting the need for future research to corroborate findings derived from self-report.

Indexed as

SleepSocial MediaStudentsAccelerometryAdolescentAdultDigital MediaFemaleHumansLongitudinal StudiesMaleMedia ExposureSelf ReportSleep DurationUniversitiesYoung Adultobjective measuresrepeated measuressleepsocial mediastudents

Identifiers

PMID42439038
PMCPMC13358886

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.