Does time spent using social media impact mental health?: An eight year longitudinal study

Coyne, Sarah M.; Rogers, Adam A.; Zurcher, Jessica D.; Stockdale, Laura; Booth, McCall

doi:10.1016/j.chb.2019.106160

Cited by 378 publications

(322 citation statements)

References 30 publications

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“…The current literature on social media and mental health among youth is still developing and has several gaps and shortcomings, as evident from this scoping review and other publications (Seabrook et al, 2016;Coyne et al, 2020;Keles et al, 2020;Orben, 2020). Some of the gaps and shortcomings in the field we propose solutions for has been identified in a systematic review from 2019 by Keles et al (2020).…”

Section: What Is the Gap In The Literature?mentioning

confidence: 90%

“…The notion that excessive social media use is associated with poor mental health is well established within mainstream media. Our observation that this preconception seems to be the starting point for much research is not conducive to increased knowledge, but also alluded to elsewhere (Coyne et al, 2020).…”

Section: Description Of Central Themes and Core Conceptsmentioning

confidence: 93%

“…With the increased popularity of social media and internet arrived a reduction of face-to-face contact and supposed increased social isolation (Kraut et al, 1998;Espinoza and Juvonen, 2011). This view is described as the displacement hypothesis [see for instance (Coyne et al, 2020)]. Having a thriving social life and community with meaningful relations are for many considered vital for well-being and good mental health, and the supposed reduction of sociality were undoubtedly met with skepticism by some.…”

Section: The Metrics Of Social Mediamentioning

confidence: 99%

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Social Media Use and Mental Health and Well-Being Among Adolescents – A Scoping Review

et al. 2020

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Introduction: Social media has become an integrated part of daily life, with an estimated 3 billion social media users worldwide. Adolescents and young adults are the most active users of social media. Research on social media has grown rapidly, with the potential association of social media use and mental health and well-being becoming a polarized and much-studied subject. The current body of knowledge on this theme is complex and difficult-to-follow. The current paper presents a scoping review of the published literature in the research field of social media use and its association with mental health and well-being among adolescents. Methods and Analysis: First, relevant databases were searched for eligible studies with a vast range of relevant search terms for social media use and mental health and well-being over the past five years. Identified studies were screened thoroughly and included or excluded based on prior established criteria. Data from the included studies were extracted and summarized according to the previously published study protocol. Results: Among the 79 studies that met our inclusion criteria, the vast majority (94%) were quantitative, with a cross-sectional design (57%) being the most common study design. Several studies focused on different aspects of mental health, with depression (29%) being the most studied aspect. Almost half of the included studies focused on use of non-specified social network sites (43%). Of specified social media, Facebook (39%) was the most studied social network site. The most used approach to measuring social media use was frequency and duration (56%). Participants of both genders were included in most studies (92%) but seldom examined as an explanatory variable. 77% of the included studies had social media use as the independent variable. Conclusion: The findings from the current scoping review revealed that about 3/4 of the included studies focused on social media and some aspect of pathology. Focus on the potential association between social media use and positive outcomes seems to be rarer in the current literature. Amongst the included studies, few separated between different forms of (inter)actions on social media, which are likely to be differentially associated with mental health and well-being outcomes.

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Section: What Is the Gap In The Literature?mentioning

confidence: 90%

Section: Description Of Central Themes and Core Conceptsmentioning

confidence: 93%

Section: The Metrics Of Social Mediamentioning

confidence: 99%

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Social Media Use and Mental Health and Well-Being Among Adolescents – A Scoping Review

et al. 2020

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“…The Displaced Behavior Theory may help explain why social media shows a connection with mental health. According to the theory, people who spend more time in sedentary behaviors such as social media use have less time for face-to-face social interaction, both of which have been proven to be protective against mental disorders [11,12]. On the other hand, social theories found how social media use affects mental health by influencing how people view, maintain, and interact with their social network [13].…”

Section: Impact On Mental Healthmentioning

confidence: 99%

Social Media Use and Its Connection to Mental Health: A Systematic Review

Karim¹,

Oyewande²,

Abdalla³

et al. 2020

Cureus

148

103

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Social media are responsible for aggravating mental health problems. This systematic study summarizes the effects of social network usage on mental health. Fifty papers were shortlisted from google scholar databases, and after the application of various inclusion and exclusion criteria, 16 papers were chosen and all papers were evaluated for quality. Eight papers were cross-sectional studies, three were longitudinal studies, two were qualitative studies, and others were systematic reviews. Findings were classified into two outcomes of mental health: anxiety and depression. Social media activity such as time spent to have a positive effect on the mental health domain. However, due to the cross-sectional design and methodological limitations of sampling, there are considerable differences. The structure of social media influences on mental health needs to be further analyzed through qualitative research and vertical cohort studies.

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“…With the increasing ability to collect a massive amount of sensor data on subjects in an unobtrusive manner, we can now design data mining methods to better understand human behavior. Researchers employ computational techniques to understand the relationship between behavioral habits and one’s health status [ 21 , 22 , 23 , 24 , 25 ]. Previous work has also considered the quantification of behavioral change while a person is experiencing health events, although this was only considered for individuals and not for groups [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

Analyzing Sensor-Based Individual and Population Behavior Patterns via Inverse Reinforcement Learning

Lin

Cook

2020

Sensors

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Digital markers of behavior can be continuously created, in everyday settings, using time series data collected by ambient sensors. The goal of this work was to perform individual- and population-level behavior analysis from such time series sensor data. In this paper, we introduce a novel algorithm—Resident Relative Entropy-Inverse Reinforcement Learning (RRE-IRL)—to perform an analysis of a single smart home resident or a group of residents, using inverse reinforcement learning. By employing this method, we learnt an individual’s behavioral routine preferences. We then analyzed daily routines for an individual and for eight smart home residents grouped by health diagnoses. We observed that the behavioral routine preferences changed over time. Specifically, the probability that the observed behavior was the same at the beginning of data collection as it was at the end (months later) was lower for residents experiencing cognitive decline than for cognitively healthy residents. When comparing aggregated behavior between groups of residents from the two diagnosis groups, the behavioral difference was even greater. Furthermore, the behavior preferences were used by a random forest classifier to predict a resident’s cognitive health diagnosis, with an accuracy of 0.84.

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Does time spent using social media impact mental health?: An eight year longitudinal study

Cited by 378 publications

References 30 publications

Social Media Use and Mental Health and Well-Being Among Adolescents – A Scoping Review

Social Media Use and Mental Health and Well-Being Among Adolescents – A Scoping Review

Social Media Use and Its Connection to Mental Health: A Systematic Review

Analyzing Sensor-Based Individual and Population Behavior Patterns via Inverse Reinforcement Learning

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