The effect of social networking sites on the relationship between perceived social support and depression

McDougall, Matthew A.; Walsh, Michael; Wattier, Kristina; Knigge, Ryan P.; Miller, Laurence; Stevermer, Michalene; Fogas, Bruce S.

doi:10.1016/j.psychres.2016.09.018

Cited by 64 publications

(44 citation statements)

References 30 publications

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“…This provides important insight into previously demonstrated associations between overall SMU and depression that did not include a measure of PSMU (McDougall et al, 2016; Pantic et al, 2012). First, these results indicate that for individuals who consume the most social media, even if it is associated with depressive symptoms, this is likely due to an alternative mechanism, such as a problematic or addictive component, and not simply substantial amounts of time on social media.…”

Section: Discussionmentioning

confidence: 54%

“…First, these results indicate that for individuals who consume the most social media, even if it is associated with depressive symptoms, this is likely due to an alternative mechanism, such as a problematic or addictive component, and not simply substantial amounts of time on social media. Alternatively, it may be that self-reported time is simply not an accurate measure of actual social media use, as indicated by prior research, and measurement of SMU should include instruments that have undergone more rigorous empiric validation (Junco, 2013; McDougall et al, 2016; Rosen et al, 2013b). …”

Section: Discussionmentioning

confidence: 99%

“…Prior research has identified media exposures, such as video games, television, movies, and the Internet, to be associated with the development of depression among adolescents (Bickham et al, 2015; Gonzálvez et al, 2016; Holfeld and Sukhawathanakul, 2017; Liu et al, 2016; Primack et al, 2009). Other research has extended this by suggesting that use of social media is associated with depressive symptoms and a decline in well-being among both adolescents (Pantic et al, 2012) and adults (Kross et al, 2013; Lin et al, 2016; McDougall et al, 2016; Shensa et al, 2016). …”

mentioning

confidence: 92%

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Problematic social media use and depressive symptoms among U.S. young adults: A nationally-representative study

Shensa

Escobar-Viera

Sidani

et al. 2017

Social Science & Medicine

323

241

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Rationale Depression is the leading cause of disability worldwide. The suggested association between social media use (SMU) and depression may be explained by the emerging maladaptive use pattern known as problematic social media use (PSMU), characterized by addictive components. Objective We aimed to assess the association between PSMU and depressive symptoms—controlling for overall time and frequency of SMU—among a large sample of U.S. young adults. Methods In October 2014, participants aged 19–32 (N = 1749) were randomly selected from a nationally-representative U.S. probability-based panel and subsequently invited to participate in an online survey. We assessed depressive symptoms using the validated Patient-Reported Outcomes Measurement Information System (PROMIS) brief depression scale. We measured PSMU using an adapted version of the Bergen Facebook Addiction Scale to encompass broader SMU. Using logistic regression models, we tested the association between PSMU and depressive symptoms, controlling for time and frequency of SMU as well as a comprehensive set of socio-demographic covariates. Results In the multivariable model, PSMU was significantly associated with a 9% increase in odds of depressive symptoms (AOR [adjusted odds ratio] = 1.09; 95% CI [confidence interval]: 1.05, 1.13; p < .001.) Increased frequency of SMU was also significantly associated with increased depressive symptoms, whereas SMU time was not (AOR = 1.01; 95% CI: 1.00, 1.01; p = .001 and AOR = 1.00; 95% CI: 0.999–1.001; p = .43, respectively). Conclusion PSMU was strongly and independently associated with increased depressive symptoms in this nationally-representative sample of young adults. PSMU largely explained the association between SMU and depressive symptom, suggesting that it may be how we use social media, not how much, that poses a risk. Intervention efforts aimed at reducing depressive symptoms, such as screenings for maladaptive SMU, may be most successful if they address addictive components and frequency—rather than time—of SMU.

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Section: Discussionmentioning

confidence: 54%

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 92%

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Problematic social media use and depressive symptoms among U.S. young adults: A nationally-representative study

Shensa

Escobar-Viera

Sidani

et al. 2017

Social Science & Medicine

323

241

View full text Add to dashboard Cite

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“…High level of perceived social support is helpful to enhance the belief to overcome the challenge (Jenkins, Belanger, Connally, Boals, & Durón, ). Persons with more perceived social support are at lower risks for social pressure, anxiety, and depression, as well as will show higher levels of life satisfaction (Bambara, Turner, Williams, & Haselkorn, ; McDougall et al, ; Trepte, Dienlin, & Reinecke, ). Conversely, the lack of perceived support from family, friends, and others is widely identified as a risk factor leading to crime and lowering the quality of life (Lu, Wen, Deng, & Tang, ).…”

Section: Perceived Social Support and Depressionmentioning

confidence: 99%

Impact of perceived social support on depression in Chinese rural‐to‐urban migrants: The mediating effects of loneliness and resilience

Liang

Teng

2019

Journal Community Psychology

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The present study aimed to examine whether loneliness and resilience played the roles of mediators on the relationship between perceived social support and depression. A total of 712 Chinese rural‐to‐urban migrants from Nanjing, who were measured with perceived social support, resilience, loneliness, and depression, participated in the study. Results indicated that perceived social support and resilience were negatively associated with depression. Loneliness was a significant and negative predictor for depression. In addition, we also revealed that resilience and loneliness partially mediated the relationship between perceived social support and depression. These findings might develop a better understanding of depression in the course of migration.

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“…However, other studies suggest that increased SM exposure may counter-intuitively be associated with increased depression among both adolescents (Lou, Yan, Nickerson, & McMorris, 2012;Pantic et al, 2012) and adults (Kross et al, 2013;Lin et al, 2016;McDougall et al, 2016;Shensa, Sidani, Lin, Bowman, & Primack, 2016). This may be because SM facilitates engagement in social comparison, giving users the impression that others are happier and more meaningfully engaged (Acar, 2008;Chou & Edge, 2012;Lup, Trub, & Rosenthal, 2015).…”

mentioning

confidence: 99%

The association between valence of social media experiences and depressive symptoms

et al. 2018

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The effect of social networking sites on the relationship between perceived social support and depression

Cited by 64 publications

References 30 publications

Problematic social media use and depressive symptoms among U.S. young adults: A nationally-representative study

Problematic social media use and depressive symptoms among U.S. young adults: A nationally-representative study

Impact of perceived social support on depression in Chinese rural‐to‐urban migrants: The mediating effects of loneliness and resilience

The association between valence of social media experiences and depressive symptoms

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