Evidence map›Paper›PMID 38896597›Full record

ArticleCadernos de saude publica2024

[The mediating role of social media addiction and sleep quality in the association between social media usage and depressive symptoms in university students].

Jéssica Vertuan Rufino, Renne Rodrigues, Arthur Eumann Mesas, Camilo Molino Guidoni

Abstract readEnglish Abstract
In one paragraph

Article in Cadernos de saude publica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Jéssica Vertuan RufinoUniversidade Estadual de Londrina, Londrina, Brasil.ORCID 0000-0003-3039-1797
Renne RodriguesUniversidade Estadual de Londrina, Londrina, Brasil.ORCID 0000-0003-1390-5901
Arthur Eumann MesasHealth and Social Research Center, Universidad de Castilla-La Mancha, Cuenca, España.ORCID 0000-0002-0088-8607
Camilo Molino GuidoniUniversidade Estadual de Londrina, Londrina, Brasil.ORCID 0000-0001-5844-143X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increase in time spent on social media and its association with depressive symptoms, especially among young adults, has generated the need to understand how this association occurs in order to support the development of policies to reduce harm and complications. In view of this fact, this study aimed to assess the mediating effect of social media addiction and sleep quality on the association between time spent on social media and depressive symptoms in Brazilian university students. This is a cross-sectional study conducted with 2,823 university students, who provided information regarding time spent on social media, social media addiction, depressive symptoms and sleep quality. The mediation analysis, adjusted for confounding factors, was performed using the PROCESS macro for SPSS to obtain the total (c), direct (c'), and indirect effects (EI1, EI2, and EI3). The results identified an association between time spent on social media and depressive symptoms, mediated by social media addiction (EI1 = 20%) and sleep quality (EI1 = 40%). These findings help expand knowledge about the mechanisms that mutually influence the relationship between time spent on social media and depressive symptoms, supporting the adoption of strategies to reduce harm resulting from excessive social media use.

Indexed as

DepressionSleep QualitySocial MediaStudentsAdolescentAdultBehavior, AddictiveBrazilCross-Sectional StudiesFemaleHumansInternet Addiction DisorderMaleSocioeconomic FactorsSurveys and QuestionnairesTime Factors

Identifiers

PMID38896597
PMCPMC11178374

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.