Zoom Memes for Self-Quaranteens: Generational Humor, Identity, and Conflict During the Pandemic

2021 ◽  
pp. 216769682110585
Author(s):  
Pamela Aronson ◽  
Islam Jaffal
Keyword(s):  
Mental Health ◽  
Young Adults ◽  
Online Learning ◽  
Content Analysis ◽  
Emerging Adult ◽  
Generational Conflict ◽  
Political Leaders ◽  
Generational Identity ◽  
Learning Productivity ◽  
Negative Feelings

The objective of this study is to examine young adults’ perceptions of the pandemic. This study is based on a content analysis of memes posted on one of the most popular emerging–adult-focused Facebook groups established during the pandemic. It finds that three themes emerged: pandemic humor, generational identity humor, and generational conflict humor. Memes about the pandemic include sub-themes of a coming apocalypse, adults who deny the seriousness of COVID-19, and a more general expression of negative feelings, particularly anger and fear, through humor. Posts also emphasize the existence of a shared generational identity through humor, with commonly understood references to issues like online learning, productivity, and mental health. Finally, generational conflict humor emphasizes antagonism with older generations, including mistrust of government and political leaders, professors, and universities.

The Effect of Suicide-Related Internet Use on Users’ Mental Health

Crisis ◽  
2013 ◽  
Vol 34 (5) ◽  
pp. 348-353 ◽  
Author(s):  
Hajime Sueki
Keyword(s):  
Mental Health ◽  
Young Adults ◽  
Suicidal Ideation ◽  
Internet Use ◽  
Panel Study ◽  
Psychological Effects ◽  
The Internet ◽  
Negative Effects ◽  
Suicide Methods ◽  
Internet Users

Background: Previous studies have shown that suicide-related Internet use can have both negative and positive psychological effects. Aims: This study examined the effect of suicide-related Internet use on users’ suicidal ideation, depression/anxiety tendency, and loneliness. Method: A two-wave panel study of 850 Internet users was conducted via the Internet. Results: Suicide-related Internet use (e.g., browsing websites about suicide methods) had negative effects on suicidal ideation and depression/anxiety tendency. No forms of suicide-related Internet use, even those that would generally be considered positive, were found to decrease users’ suicidal ideation. In addition, our results suggest that the greater the suicidal ideation and feelings of depression and loneliness of Internet users, the more they used the Internet. Conclusion: Since suicide-related Internet use can adversely influence the mental health of young adults, it is necessary to take measures to reduce their exposure to such information.

787-P: Mental Health Discussions during Routine Diabetes Care Visits with Adolescents and Young Adults

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 787-P
Author(s):  
MAUREEN MONAGHAN ◽  
CONNIE WONG ◽  
DIANE L. POLYAKOV ◽  
MEREDITH ROSE
Keyword(s):  
Mental Health ◽  
Young Adults ◽  
Diabetes Care ◽  
Adolescents And Young Adults

Family Type Predicts Mental Health Problems in Young Adults: A Survey of Students at a University in Botswana

2020 ◽  
Vol 32 (2) ◽  
Author(s):  
Kennedy Amone-P'Olak ◽  
Boniface Kealeboga Ramotuana
Keyword(s):  
Mental Health ◽  
Young Adults ◽  
Mental Health Problems ◽  
Single Mother ◽  
Health Problems ◽  
Family Type ◽  
Cross Sectional ◽  
Intact Family ◽  
Increased Risk ◽  
Family Types

In Africa, the structure of the family is changing rapidly. The effects of this change on mental health remain unknown. This study investigated the extent to which different family types (intact, single-mother, and multiple) predict mental health problems in young adults in Botswana (N = 264, mean age = 21.31, SD = 2.40). In a cross-sectional design, the study sampled students registered at various faculties at the University of Botswana. The revised symptoms checklist (SCL-90-R) was used to assess symptoms of mental health problems (depression, anxiety and hostility). Binary logistic regression analyses were performed to obtain odds ratios (ORs) and 95 per cent confidence intervals (CIs) of mental health problems for mother-only and multiple family types relative to the intact family type. Compared to the intact family type, single-mother (OR = 2.34; 95% CI: 1.21, 4.51) and multiple family types (OR = 1.56; CI: 0.88, 2.78) were associated with an increased risk of depression. For anxiety, the ORs were 2.27 (CI: 1.18, 4.38) and 1.10 (CI: 0.56, 1.82) for single-mother and multiple family types respectively. For hostility, the ORs were 2.60 (CI: 1.34, 5.04), and 0.79 (CI: 0.44, 1.42) for single-mother and multiple family types, respectively. Family types predict mental health problems in young adults and therefore the interventions to mitigate the effects should consider family backgrounds and the ramifications of family types for treatment and care.

Comparing Representation of Depression on Reddit and Twitter Social Media Platforms (Preprint)

2020 ◽  
Author(s):  
Ethan Kaji ◽  
Maggie Bushman
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Content Analysis ◽  
Relative Frequency ◽  
Social Activity ◽  
Social Media Platforms ◽  
Dsm Iv ◽  
Twitter Users

BACKGROUND Adolescents with depression often turn to social media to express their feelings, for support, and for educational purposes. Little is known about how Reddit, a forum-based platform, compares to Twitter, a newsfeed platform, when it comes to content surrounding depression. OBJECTIVE The purpose of this study is to identify differences between Reddit and Twitter concerning how depression is discussed and represented online. METHODS A content analysis of Reddit posts and Twitter posts, using r/depression and #depression, identified signs of depression using the DSM-IV criteria. Other youth-related topics, including School, Family, and Social Activity, and the presence of medical or promotional content were also coded for. Relative frequency of each code was then compared between platforms as well as the average DSM-IV score for each platform. RESULTS A total of 102 posts were included in this study, with 53 Reddit posts and 49 Twitter posts. Findings suggest that Reddit has more content with signs of depression with 92% than Twitter with 24%. 28.3% of Reddit posts included medical content compared to Twitter with 18.4%. 53.1% of Twitter posts had promotional content while Reddit posts didn’t contain promotional content. CONCLUSIONS Users with depression seem more willing to discuss their mental health on the subreddit r/depression than on Twitter. Twitter users also use #depression with a wider variety of topics, not all of which actually involve a case of depression.

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