ArticleHeliyon2025
Social network sites (SNS) an archetype of techno-social stress: A systematic review.
Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Protégé Effect for Behavior Change: Does Teaching Digital Stress Solutions to Others Reduce One's Own?Annals of the New York Academy of Sciences · 2026Article
- Behavioral effects of a chronic envy-like stress paradigm in mice using an adjacent cage model.IBRO neuroscience reports · 2026Article
- Mortality trends and influencing factors of mental disorders among urban and rural residents in China between 2009 and 2021: a longitudinal study with projections to 2030.Frontiers in public health · 2026Article
- Recommendations for Physical Exercise as a Strategy to Reduce Problematic Use of the Internet and Digital Devices: A Perspective.International journal of environmental research and public health · 2025Article
- The Impact of Technostress Generated by Artificial Intelligence on the Quality of Life: The Mediating Role of Positive and Negative Affect.Behavioral sciences (Basel, Switzerland) · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Social Networking Sites (SNS) are widely used platforms known for both their hedonic and social connectivity benefits. Although there is considerable interest in understanding how personal technostress affects individual well-being, a significant gap remains in the systematic exploration of this topic within the literature. Methods: This review systematically examined 41 empirical studies from Scopus and PubMed published between 2014 and 2023, following PRISMA guidelines, and assessed for methodological quality using the Mixed Method Appraisal Tool. Only English-language articles were considered to avoid translation complexities. Studies were categorized and coded using the Stressor-Strain-Outcome (SSO) model to examine demographic variations in stressor impacts and coping mechanisms. Results: The findings reveal a complex interplay of technological, behavioral-technological, and social stressors. Technological complexities often exacerbate social stressors like FoMO (Fear of Missing Out) and social overload, resulting in psychological (e.g., anxiety, depression), behavioral (e.g., reduced engagement), and physical strains (e.g., sleep disruptions). Demographic factors significantly influence stress responses, with younger users and women particularly affected. Key intervention strategies identified include digital detox practices, mindfulness techniques, and user-centered SNS design modifications. Conclusion: This review emphasizes the need for targeted approaches to mitigate SNS-induced technostress to foster balanced, health-oriented digital engagement. Future research should focus on developing comprehensive frameworks to address technostress impacts on diverse user groups better and support sustainable digital well-being practices.
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Registered trials
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.