Social Media and Youth Mental Health: Assessing the Impact Through Current and Novel Digital Phenotyping Methods

被引:0
作者
Perlmutter E. [1 ]
Dwyer B. [1 ]
Torous J. [1 ]
机构
[1] Department of Digital Psychiatry, Beth Israel Deaconess Medical Center, Boston
关键词
Digital detox; Digital phenotyping; Social media; Social media scales; Youth mental health;
D O I
10.1007/s40501-024-00312-1
中图分类号
学科分类号
摘要
Purpose of Review: The effect of social media use on youth mental health is a primary public concern. Despite extensive research on the topic, social media use’s impact on adolescent mental health remains unclear with study results often contradicting each other. This narrative review examines recent literature on the relationship between social media use and youth mental health, highlights disparities in study results, and offers a novel approach for future research. Recent Findings: Three conclusions were drawn from our review. First, contrasting usage patterns may affect mental health outcomes. Second, social media use may impact social comparison, social displacement, social stimulation, and self-determination. Lastly, limits in research methodology inhibit our understanding of the relationship between screen time and youth mental health outcomes due to the over-reliance on self-report scales, heterogeneity in scale usage, and problematic analysis methods. Summary: The complexity of understanding the impact of social media use on youth mental health should not deter research. To advance methodology and elucidate outcomes, future studies should utilize the digital phenotyping approach. This approach uses objective data assessment from personal digital devices and allows researchers to better analyze the impact of social media use on youth mental health. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.
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页码:34 / 51
页数:17
相关论文
共 74 条
[51]  
Dickson K., Richardson M., Kwan I., Macdowall W., Burchett H., Stansfield C., Brunton G., Sutcliffe K., Thomas J., Screen-Based Activities and Children and Young people’s Mental Health and Psychosocial Wellbeing: A Systematic Map of Reviews. Department of Health Reviews Facility, (2019)
[52]  
Gerpott T.J., Thomas S., Empirical research on mobile Internet usage: a meta-analysis of the literature, Telecomm Policy, 38, 3, pp. 291-310, (2014)
[53]  
Griffioen N., van Rooij M., Lichtwarck-Aschoff A., Granic I., Toward improved methods in social media research, Tech Mind Behavior, 1, 1, (2020)
[54]  
Howard M.C., Jayne B.S., An analysis of more than 1,400 articles, 900 scales, and 17 years of research: the state of scales in cyberpsychology, behavior, and social networking, Cyberpsychol Behav Soc Netw, 18, 3, pp. 181-187, (2015)
[55]  
Assessing the validity of self-report social media use: Evidence of No relationship with objective smartphone use, Comput Hum Behav, 140, (2023)
[56]  
Parry D.A., Davidson B.I., Sewall C.J.R., Fisher J.T., Mieczkowski H., Quintana D.S., A systematic review and meta-analysis of discrepancies between logged and self-reported digital media use, Nat Hum Behav, (2021)
[57]  
Boyle S.C., Baez S., Trager B.M., LaBrie J.W., systematic bias in self-reported social media use in the age of platform swinging: implications for studying social media use in relation to adolescent health behavior, Int J Environ Res Public Health, 19, 16, (2022)
[58]  
Burnell K., George M.J., Kurup A.R., Underwood M.K., Ackerman R.A., Associations between self-reports and device-reports of social networking site use: an application of the truth and bias model, Commun Methods Meas, 15, 2, pp. 156-163, (2021)
[59]  
Verbeij T., Pouwels J.L., Beyens I., Valkenburg P.M., The accuracy and validity of self-reported social media use measures among adolescents, Comput Hum Behav Rep, 3, (2021)
[60]  
Davidson B.I., Darja Wischerath Racek D., Parry D.A., Godwin E., Hinds J., Dirk Jonathan Francis Roscoe Eeva L., Cork A., Platform-controlled social media APIs threaten open science, Nat Hum Behav, (2023)