The relationships between social media use and factors relating to depression

Taylor-Jackson, Jacqui; Moustafa, Ahmed A.

doi:10.1016/b978-0-12-817676-4.00010-9

Cited by 15 publications

(13 citation statements)

References 35 publications

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“…We used a reference list to analyze ME and categorize conceptual metaphors. Specifically, the list contains the following studies: (1) Literature on depression metaphors ( Hughes-Hammer et al, 1998 ; McMullen and Conway, 2002 ; Pritzker, 2003 , 2007 ; Schoeneman et al, 2004 ; Charteris-Black, 2012 ; Refaie, 2014 ; Kauschke et al, 2018 ; Leis et al, 2019 ; Yoon et al, 2019 ; Beck, 2020 ; Tong, 2020 ; Coll-Florit et al, 2021 ; Malkomsen et al, 2021 ; Munday et al, 2021 ; Taylor-Jackson and Moustafa, 2021 ) (2) List of metaphors ( Lakoff et al, 1991 ) (3) Oxford guide to metaphors in CBT ( Stott et al, 2010 ) …”

Section: Methodsmentioning

confidence: 99%

“…In China alone, the number of people with depression has reached 54 million ( WHO, 2022 ). Furthermore, stigmatization and shame associated with depression have resulted in a low identification rate of 21% and a low intervention and treatment rate of 10%, making depression an important public health concern in China ( NCMHC, 2022 )

Depression might come with symptoms including feeling sad or hopeless, losing interest in activities once enjoyed, having difficulty concentrating, and sometimes thoughts of death or suicide ( Leis et al, 2019 ; Taylor-Jackson and Moustafa, 2021 ). These symptoms can make it difficult to leave the house, attend outdoor activities, or even socialize with others.…”

Section: Introductionmentioning

confidence: 99%

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Words for the hearts: a corpus study of metaphors in online depression communities

Shi,

Khoo

2023

Front. Psychol.

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Purpose/significanceHumans understand, think, and express themselves through metaphors. The current paper emphasizes the importance of identifying the metaphorical language used in online health communities (OHC) to understand how users frame and make sense of their experiences, which can boost the effectiveness of counseling and interventions for this population.Methods/processWe used a web crawler to obtain a corpus of an online depression community. We introduced a three-stage procedure for metaphor identification in a Chinese Corpus: (1) combine MIPVU to identify metaphorical expressions (ME) bottom-up and formulate preliminary working hypotheses; (2) collect more ME top-down in the corpus by performing semantic domain analysis on identified ME; and (3) analyze ME and categorize conceptual metaphors using a reference list. In this way, we have gained a greater understanding of how depression sufferers conceptualize their experience metaphorically in an under-represented language in the literature (Chinese) of a new genre (online health community).Results/conclusionMain conceptual metaphors for depression are classified into PERSONAL LIFE, INTERPERSONAL RELATIONSHIP, TIME, and CYBERCULTURE metaphors. Identifying depression metaphors in the Chinese corpus pinpoints the sociocultural environment people with depression are experiencing: lack of offline support, social stigmatization, and substitutability of offline support with online support. We confirm a number of depression metaphors found in other languages, providing a theoretical basis for researching, identifying, and treating depression in multilingual settings. Our study also identifies new metaphors with source-target connections based on embodied, sociocultural, and idiosyncratic levels. From these three levels, we analyze metaphor research’s theoretical and practical implications, finding ways to emphasize its inherent cross-disciplinarity meaningfully.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Words for the hearts: a corpus study of metaphors in online depression communities

Shi,

Khoo

2023

Front. Psychol.

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“…However, lurkers constitute a substantial proportion of online support groups, with estimates ranging from 45.5% to 90% [34]. In addition, active web-based interactions with others may not only help alleviate [35,36] but also worsen symptoms of depression owing to exposure to others' negative emotions and corumination [37]. However, there is conflicting evidence on the extent to which people with depressive symptoms use web-based help-seeking services such as online support groups, how they use them (lurking vs posting activities), and the outcomes of such behavior.…”

Section: Depressive Symptoms and Web-based Help Seekingmentioning

confidence: 99%

The Empowering Role of Web-Based Help Seeking on Depressive Symptoms: Systematic Review and Meta-analysis

Bizzotto¹,

Marciano²,

Bruijn³

et al. 2023

J Med Internet Res

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Background Most research on web-based help seeking for mental health problems has focused on the antecedents of this behavior. Therefore, little is known about the outcomes of web-based help seeking in general or in specific mental health issues. Objective This study was a systematic review and meta-analysis of the literature on the antecedents and consequences of web-based help-seeking behaviors for depressive symptoms. Methods A systematic literature search was carried out in 6 scientific databases, leading to 48 studies (for a total of 314,921 participants) included in the qualitative synthesis and 19 included in the meta-analysis. Results The results indicated a positive relationship between depressive symptoms and web-based help-seeking behaviors through online support groups (r=0.089; P=.009), and Generation Z (r=0.102; P=.008) tended to participate in support groups more than previous generations. In addition, web-based help seeking was positively related to empowerment (r=0.245; P=.004). Other forms of support reported included the internet and specific self-help tools, but no significant relationships were found with depressive symptoms. Conclusions More studies examining the outcomes are needed, together with a more rigorous assessment of web-based help-seeking behaviors. Ultimately, we propose a summary framework for the literature on this topic, including the antecedents, patterns of use, and outcomes of web-based help seeking in the context of depressive symptoms.

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“…Among adolescent and young adults, associations between depressive symptoms and SMU are well established [19][20][21]. Research on persons with chronic depression suggests that an increase in SMU exacerbates symptoms [22]. Alternatively, depression may predict excessive SMU [23], as those with severe chronic depression are often socially isolated and rely on online interactions [24].…”

Section: Social Media Use and Mood Disordersmentioning

confidence: 99%

Social Media Use and Well-being With Bipolar Disorder During the COVID-19 Pandemic: Path Analysis

Star¹,

Bachner²,

Cohen³

et al. 2022

JMIR Form Res

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Background Reliable and consistent social support is associated with the mental health and well-being of persons with severe mental illness, including bipolar disorder (BD). Yet the COVID-19 pandemic and associated social distancing measures (eg, shelter in place) reduced access to regular social contacts, while social media use (SMU) increased concomitantly. Little is currently known about associations between the well-being of adults with BD and different types of SMU (eg, passive and active). Objective For this study, we had two goals. First, we report descriptive information regarding SMU by persons with BD during COVID-19 (all platforms). Specific to Facebook, we next developed and tested a hypothesized model to identify direct and indirect associations between BD symptoms, social support, loneliness, life satisfaction, and SMU. Responses were collected during the global spread of the Delta variant and prior/concurrent with the Omicron variant, 20 months after the World Health Organization declared COVID-19 a global pandemic. Methods Over 8 weeks, we obtained responses from an international sample of 102 adults with BD using the Qualtrics online platform. Most had previously participated in the BADAS (Bipolar Affective Disorders and older Adults) Study (n=89, 87.3%); the remainder were recruited specifically for this research (n=13, 2.7%). The subsamples did not differ in age (t100=1.64; P=.10), gender (χ22=0.2; P=.90), socioeconomic status (χ26=9.9; P=.13), or time since BD diagnosis (t97=1.27; P=.21). Both were recruited using social media advertising micro-targeted to adults with BD. On average, participants were 53.96 (SD 13.22, range 20-77) years of age, they had completed 15.4 (SD 4.28) years of education, and were diagnosed with BD 19.6 (SD 10.31) years ago. Path analyses were performed to develop and test our hypothesized model. Results Almost all participants (n=95, 93.1%) reported having both Facebook and LinkedIn accounts; 91.2% (n=93) reported regular use of either or both. During the pandemic, most (n=62, 60.8%) reported accessing social media several times a day; 36.3% (n=37) reported using social media more often since the emergence of COVID-19. Specific to Facebook, the model we hypothesized differed somewhat from what emerged. The resulting model suggests that symptoms of depression predict loneliness and, inversely, social support and life satisfaction. Social support predicts social Facebook use, whereas passive Facebook use predicts life satisfaction. Symptoms of depression emerged as indirect predictors of SMU via social support. Conclusions Our findings suggest that the operational definition of passive-active SMU requires further analysis and refinement. In contrast to theory, passive Facebook use appears positively associated with well-being among certain populations. Longitudinal data collection over multiple points is required to identify associations between BD symptoms, SMU, and well-being over time.

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The relationships between social media use and factors relating to depression

Cited by 15 publications

References 35 publications

Words for the hearts: a corpus study of metaphors in online depression communities

Words for the hearts: a corpus study of metaphors in online depression communities

The Empowering Role of Web-Based Help Seeking on Depressive Symptoms: Systematic Review and Meta-analysis

Social Media Use and Well-being With Bipolar Disorder During the COVID-19 Pandemic: Path Analysis

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