Evidence map›Paper›PMID 39095795›Full record

ArticleBMC public health2024

Screen viewing patterns and their association with mental wellbeing and psychological distress: a cross-sectional study amongst university students.

Mingyue Chen, Natarajan Padmapriya, Xin Hui Chua, Linda Lizeth Tirado Escobosa, Andrew Epaphroditus Tay, Bee Choo Tai, Nicholas Petrunoff, Falk Müller-Riemenschneider

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

8 authors.

Mingyue ChenSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Natarajan PadmapriyaSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Xin Hui ChuaSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Linda Lizeth Tirado EscobosaSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Andrew Epaphroditus TaySaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Bee Choo TaiSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Nicholas PetrunoffSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Falk Müller-RiemenschneiderSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore. ephmf@nus.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDependency on screen viewing (SV) has reached unprecedented levels, and mental health issues are becoming a major public health concern. However, the associations between SV, including variations in purposes, devices, and timing, and mental health remain unclear. This study aims to provide insights into these associations among university students.

methodsThis analysis used baseline data from a longitudinal cohort study among first-year university students matriculating in the 2021-2022 academic year. Self-reported data on sociodemographics, health behaviors and mental health outcomes alongside anthropometric measurements were collected. Unadjusted and adjusted logistic regression analyses were conducted.

resultsThe average age of the 997 valid students was 20.2 years, with 59.6% being female and 41.4% male. Students spent 14.3 h daily on SV, with females reporting higher SV than males. Daily SV was predominant for study purposes (7.6 h/day). Computer usage was the highest (7.0 h/day), while TV usage was the lowest (1.7 h/day). Poor mental wellbeing was reported by 33.6% of students, while 13.9% experienced psychological distress. Compared to students with low total SV, those with high levels were more likely to have poor mental wellbeing [OR (95% CI): 1.40 (0.99, 1.98)] and psychological distress [1.56 (1.00, 2.44)]. High levels of recreational and study related SV were significantly associated with poor mental wellbeing [1.81 (1.27, 2.56)] and psychological distress [1.75 (1.11, 2.83)], respectively. Those with high levels of computer time were more likely to have poor mental wellbeing [1.44 (1.01, 2.06)], and high weekend day SV was associated with greater odds of psychological distress [2.16 (1.17, 4.06)].

conclusionsSV among university students was high, as was the high prevalence of poor mental wellbeing and psychological distress. Greater SV was associated with poor mental wellbeing and psychological distress. Differences according to purpose of SV were noted. Although recreational SV was associated with poor mental wellbeing, study related SV was associated with psychological distress. Variations across different devices and timing were also noted. This highlights the need for further longitudinal research to understand the impact of SV on mental health and to guide interventions for promoting mental health of university students globally.

Indexed as

Mental HealthPsychological DistressScreen TimeStudentsAdolescentCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleTelevisionUniversitiesYoung AdultMental wellbeingPsychological distressScreen viewingUniversity students

Identifiers

PMID39095795
PMCPMC11297782

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LicenceCC BY-NC-ND
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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.