Evidence map›Paper›PMID 41822923›Full record

ArticleFrontiers in public health2026

Digital behavior and anxiety in the post-pandemic era: a five-year analysis of screen time, sleep, and behavioral risk profiles.

Wenjing Liu

Abstract read
In one paragraph

Article in Frontiers in public health, 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

1 author.

Wenjing LiuDepartment of Business Administration, Sejong University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: The post-pandemic period has shown sustained digital intensification associated with adverse mental health outcomes. Focusing on adults, this study examined associations between screen time, sleep duration, social media use, and anxiety in a global sample from 2020 to 2024. It further tested moderation by age and sleep adequacy and identified high-risk behavioral subgroups. Methods: This study applied hierarchical regression models and person-centered clustering techniques to a publicly available, repeated cross-sectional global dataset on adult mental health and lifestyle (2019-2024; Results: Screen time was positively associated with anxiety, with each additional hour corresponding to a b of 0.30 ( Implications: Findings support age-stratified interventions emphasizing sleep hygiene and nighttime device boundaries for younger adults. Screening for high-screen and low-sleep behavioral profiles in clinical and educational settings is recommended. Future longitudinal research using objective measures is needed to clarify causality and guide targeted public health strategies.

Indexed as

AnxietyScreen TimeSleepSocial MediaAdultCross-Sectional StudiesDigital MediaFemaleHumansMaleMiddle AgedSleep DurationYoung Adultdigital behaviorlatent profile analysispost-pandemic mental healthscreen timesleep duration

Identifiers

PMID41822923
PMCPMC12977190

What Socratic holds

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LicenceCC BY
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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 Socratic graph.