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Metaanálisis2020Financiación no declarada

A meta-analysis of the association between adolescent social media use and depressive symptoms

Ivie EJ, Pettitt A, Moses LJ, Allen NB

Journal of affective disorders · 180 citas

Etiquetas de revisión

Financiación no declarada

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Cómo se estudió

Diseño
Metaanálisis (indexado por PubMed)
Estudiado en
Personas
Resultado principal
Marcadores de salud y funcionamiento

Quién lo pagó

Financiación
Financiación no declarada

Publicación

Publicado
2020-06-23 · J Affect Disord · vol. 275 · págs. 165–174
Editorial
Elsevier BV
Citado
356 citas · más que el 99% de estudios similares · 9.3× el promedio de su campo
Impacto
Entre el 10 % más citado de su campo
Referencias
55 trabajos
Acceso
Acceso abierto (copia en repositorio) · CC-BY
Áreas de investigación
Impact of Technology on Adolescents · Mental Health via Writing · Child Development and Digital Technology
Palabras clave
adolescent social media use, depressive symptoms, adolescent depression, social networking sites, Facebook, Instagram, Twitter, Snapchat, MySpace, internet use, parental regulation, mental health, effect size heterogeneity
MeSH
humans, depression, parents, mental health, adolescent, child, social media, social networking

4 autores

  • Elizabeth J. Ivie🇺🇸University of Oregon
  • Adam Pettitt🇺🇸University of Oregon
  • Louis J. Moses🇺🇸University of Oregon
  • Nicholas Brian Allen🇺🇸 · autor de correspondenciaUniversity of Oregon

Resumen

El texto original del estudio, en el idioma en que se publicó.

Background

The association of adolescent social media use with mental health symptoms, especially depression, has recently attracted a great deal of interest in public media as well as the scientific community. Some studies have cited statistically significant associations between adolescent social media use and depression and have proposed that parents must regulate their adolescents' social media use in order to protect their mental health.

Method

In order to rigorously assess the size of the effect that has been reported in the current scientific literature, we conducted a meta-analysis of studies that measured the association between social media use specifically and depressive symptoms amongst early- to mid- adolescents (11-18 years-old). We searched Psychnet, PubMed, and Web of Science with the following terms: online social networks, social media, internet usage, facebook, twitter, instagram, myspace, snapchat, and depression.

Results

We found a small but significant positive correlation (k=12 studies, r=.11, p2=95.22%) indicating substantial variation among studies.

Conclusions

High heterogeneity along with the small overall effect size observed in the relationship between self-reported social media use and depressive symptoms suggests that other factors are likely to act as significant moderators of the relationship. We suggest that future research should be focused on understanding which types of use may be harmful (or helpful) to mental health, rather than focusing on overall use measures that likely reflect highly heterogeneous exposures.

Resumen vía Europe PMC. Los derechos de autor siguen siendo de los autores o la editorial.

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