The Impact of Different Types of Social Media Use on the Mental Health of UK Adults: Longitudinal Observational Study

We found that a high frequency of posting on social media was associated with increased mental health problems a year later. However, we did not find evidence of a similar association based on the frequency of viewing social media content. This provides evidence that some types of active social media use (ie, posting) have a stronger link to mental health outcomes than some types of passive social media use (viewing). These results highlighted that the relationship between social media use and mental health is complex, and more research is needed to understand the mechanisms underlying these patterns to inform targeted interventions and policies.

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Publication Details

Journal
Journal of Medical Internet Research
Published
2024-09-17
DOI
https://doi.org/10.2196/56950
Citations
14
Primary Topic
Impact of Technology on Adolescents
Type
article
Field-Weighted Citation Impact
15.85
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article

The Impact of Different Types of Social Media Use on the Mental Health of UK Adults: Longitudinal Observational Study

Ruth Plackett, Jennifer Dykxhoorn, Yue Yu
14 citations
Journal of Medical Internet Research
Impact of Technology on Adolescents
15.85
article

The Impact of Different Types of Social Media Use on the Mental Health of UK Adults: Longitudinal Observational Study

Ruth Plackett, Jennifer Dykxhoorn, Yue Yu
article en
14 citations

Abstract

We found that a high frequency of posting on social media was associated with increased mental health problems a year later. However, we did not find evidence of a similar association based on the frequency of viewing social media content. This provides evidence that some types of active social media use (ie, posting) have a stronger link to mental health outcomes than some types of passive social media use (viewing). These results highlighted that the relationship between social media use and mental health is complex, and more research is needed to understand the mechanisms underlying these patterns to inform targeted interventions and policies.

Journal of Medical Internet ResearchVol. 26
University College London (GB)
Openalex Percentile: Top 1%
Impact of Technology on Adolescents
15.85
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