| Literature DB >> 36129741 |
Matthew N Berger1,2, Melody Taba1, Jennifer L Marino1,3,4,5,6,7, Megan S C Lim7,8,9, S Rachel Skinner1,10.
Abstract
BACKGROUND: Lesbian, gay, bisexual, transgender, and queer (LGBTQ) individuals are at higher risk of poor mental health and well-being. Social media platforms can provide LGBTQ youths with a space that counters heteronormative environments and potentially supports mental health and well-being. Mental health includes an individual's state of psychological and emotional well-being and not merely the absence of mental disorders.Entities:
Keywords: LGBTQ; adolescence; identity; lesbian, gay, bisexual, transgender, and queer; mental health; mobile phone; social media; support; well-being; youth
Mesh:
Year: 2022 PMID: 36129741 PMCID: PMC9536523 DOI: 10.2196/38449
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 7.076
Figure 1PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flow diagram of the selection process. LGBTQ: lesbian, gay, bisexual, transgender, and queer.
Quality assessment summaries and limitations of the included studies (N=26).
| Study, year | CASPa score | NOSb score | Comments and limitations |
| Bates et al [ | 8/10 criteria | N/Ac |
Generalizability: Participants predominately White and openly LGBTQd All recruited from 1 university |
| Bond and Figueroa-Caballero [ | N/A | 8/10 stars |
Cross-sectional study Generalizability: Data collected from gay-straight alliances |
| Byron et al [ | 8/10 criteria | 5/10 stars |
Generalizability: Race and ethnicity not well described Internal validity: Possible risk of interviewer bias not described |
| Ceglarek and Ward [ | N/A | 9/10 stars |
Cross-sectional study Internal validity: Data were self-reported, which may be prone to social desirability or recall bias Inadequately validated measures |
| Chong et al [ | N/A | 7/10 stars |
Cross-sectional study Generalizability: Small Hong Kong–based LGBf population |
| Craig and McInroy [ | 9/10 criteria | N/A |
Generalizability: Most participants were from progressive, well-educated, and affluent backgrounds |
| Craig et al [ | N/A | 6/10 stars |
Cross-sectional study Internal validity: Inadequately validated measures Sample characteristics not described (covariates) |
| Duguay [ | 8/10 criteria | N/A |
Generalizability: Small gender-diverse population within the sample All participants were university students |
| Fox and Ralston [ | 9/10 criteria | N/A |
Generalizability: Participants predominately White From 1 city in the United States, with most being college students Internal validity: Possible risk of interviewer bias not described |
| Hanckel et al [ | 7/10 criteria | N/A |
Generalizability: Suboptimal description of race and ethnicity but indicating a lack of diversity Internal validity: Selection and recruitment not described Analytical method unclear |
| Harper et al [ | 10/10 criteria | N/A |
Generalizability: Data were collected from 2004 to 2006 and, thus, may not represent current use and past perceptions of LGBTQ identities Only recruited from 2 metropolitan US cities Limited ethnic backgrounds because of the parent study aims |
| Herrera [ | 8/10 criteria | N/A |
Generalizability: No participant characteristics described Limited to lesbian or queer-identifying women Limited to Instagram use Internal validity: Concern of selection and interviewer bias as the investigators invited participants to interviews by commenting on Instagram posts |
| Hillier et al [ | 9/10 criteria | N/A |
Generalizability: Participants predominately White |
| Lucero [ | 8/10 criteria | 5/10 stars |
Generalizability: Small sample of Ukrainian youths that may not be representative of the Ukrainian population Investigators reported their results as LGBTQ although there were no transgender participants Internal validity: Significantly small sample size for quantitative analysis Inadequately validated measures |
| McConnell et al [ | 10/10 criteria | 6/10 stars |
Generalizability: From a single metropolitan US city The disclosed LGBTQ identity cohort were likely overrepresented because of the significantly higher sample size compared with nondisclosed cohorts Participants predominately African American |
| McConnell et al [ | N/A | 6/10 stars |
Prospective cohort study Generalizability: Participants predominately African American Internal validity: Loss to follow-up not described |
| McInroy et al [ | N/A | 7/10 stars |
Cross-sectional study Internal validity: Possible selection bias as the study aimed to compare on the web and offline; however, it recruited primarily on the web |
| McInroy and Craig [ | 8/10 criteria | N/A |
Generalizability: From a single metropolitan Canadian city Small transgender subpopulation Internal validity: Most had high motivation or knowledge of media and may be associated with volunteer bias |
| Paceley et al [ | 9/10 criteria | N/A |
Generalizability: From small towns or rural areas in 1 US state Although they purposefully recruited diverse participants, there was limited intersectional analysis Underrepresentative of transgender population |
| Pellicane et al [ | N/A | 5/10 stars |
Prospective cohort study Generalizability: Undergraduate psychology students from 1 university Participants predominately female Internal validity: Strong risk of volunteer bias because of selection Loss to follow-up not described |
| Rubin and McClelland [ | 9/10 criteria | N/A |
Generalizability: Most from a single metropolitan US city Internal validity: Small sample size |
| Selkie et al [ | 9/10 criteria | N/A |
Generalizability: From 1 gender services clinic in the Midwestern United States All had supportive parents because of recruitment from the clinic Internal validity: Participants’ locality not collected (eg, rural or metropolitan) |
| Singh [ | 9/10 criteria | N/A |
Internal validity: Risk of bias from telephone interviews |
| Taylor et al [ | 10/10 criteria | N/A |
Generalizability: Underrepresentative of transgender population |
| Twist et al [ | N/A | 4/10 stars |
Cross-sectional study Generalizability: Undergraduate students minoring in Family Studies from 1 university Internal validity: Strong risk of volunteer bias because of selection Small sample size Data were self-reported, which may be prone to social desirability or recall bias |
| Varjas et al [ | 9/10 criteria | N/A |
Generalizability: Owing to age, parental permission was required, and the study likely included only those whose parents knew and were supportive |
aCASP: Critical Appraisal Skills Programme.
bNOS: Newcastle-Ottawa Quality Assessment Scale.
cN/A: not applicable.
dLGBTQ: lesbian, gay, bisexual, transgender, and queer.
eMixed methods studies.
fLGB: lesbian, gay, and bisexual.
Summary of the included quantitative studies (N=11).
| Study, year, and country | Purpose | Age (years) | Sample size, N | LGBTQa sample | Method | Findings | Summary |
| Bond and Figueroa-Caballero [ | Understand the relationships among technology, sexual identity, and well-being based on age, gender, geographic location, race, and religion | 13 to 19 (mean 16.5, SD 1.3) | 570 | Gay (45%), bisexual (27%), and lesbian (24%) | Recruitment: from gay-straight alliances and web-based message boards; data collection: questionnaires and surveys; measures: Rosenberg Self-Esteem Scale, Multiple Affect Adjective Check List, Multidimensional Scale of Perceived Social Support, and Measure of Sexual Identity Exploration and Commitment | Using regression analyses, the study found that LGBb youths spend more time on social media compared with non-LGB youths, with time spent significantly on sexual identity ( | Social media demonstrated a connection with sexual identity development associated with well-being. LGBTQ youths used social media to understand sexuality and give social support, which may not be as significant offline. |
| Byron et al [ | How Tumblr is used among LGBTQ youths to connect with peers and develop identity and well-being | 16 to 34 (mean 24.6) | 1304 | Homosexual (33.9%); bisexual (24.7%); queer (18%); and pansexual, agender, panromantic, and demisexual (19.8%) | Recruitment: via social media advertisements and flyers to LGBTQ organizations; data collection: semistructured interviews and questionnaires and surveys; measures: 2 nominal questions | Tumblr was the platform that participants most often left (11.7%; excluding Myspace and Tinder). Tumblr was abandoned for several reasons: 34% found it too time-consuming, 30% felt it became a negative space, and 15% found it to have negative health impacts. | Negative experiences were common, with participants describing Tumblr as becoming toxic, although it was useful. |
| Ceglarek and Ward [ | Understand LGB use of social media for identity exploration and expression and connecting with LGB communities | 18 to 24 (mean 20.23, SD 1.68; LGBTQ participants) | 570 | Heterosexual (n=446), homosexual (n=68), not sure (n=4), and other (n=21) | Recruitment: from LGBTQ support organizations; data collection: questionnaires and surveys; measures: Lesbian, Gay, and Bisexual Identity Scale as well as the Short Scale for Measuring Loneliness in Large Surveys and the Brief Symptom Inventory | Among LGB youths, higher social support on social media was associated with lower levels of loneliness ( | Social media has potential to allow LGBTQ youths to develop identity and, thus, have improved mental health. When seeking identity expressions and social support, the web may provide avenues with reduced stigmatization compared with offline. |
| Chong et al [ | Understand LGB social media use for identity, community monitoring, and support and sense of belonging | Mean 23.3 (SD 6.33) | 233 | Lesbian (n=86), gay (n=107), and bisexual (n=40) | Recruitment: flyers distributed to LGBTQ organizations and social media; data collection: questionnaires and surveys; measures: Inclusion of Community in Self Scale, Mental Health Inventory, Life Satisfaction Scale, and Satisfaction with Life Scale | Using structural equation modeling, sense of belonging among LGB youths was associated with social media use for LGB group membership ( | Social media is a vital resource for LGB youths to express sexual or gender identity and social support. Mental health can be improved with positive social media capital. |
| Craig et al [ | Explore benefits of social media among LGBTQ youths and develop the Social Media Benefits Scale | 14 to 29 (mean 18.21, SD 3.6) | 6178 | Pansexual (n=1782), bisexual (n=1602), queer (n=1305), gay (n=970), lesbian (n=968), asexual (n=691), not sure (n=398), cisgender (n=3950), gender nonconforming (n=2168), and transgender (n=909) | Recruitment: flyers displayed on the web on social media and sent to LGBTQ organizations; data collection: questionnaires and surveys; measures: Social Media Benefits Scale | Of those who chose Facebook as their favorite platform, 11% reported that it helped them feel loved. Adolescents (aged 14-18 years) were the most likely group, and those aged 19 to 24 years were the second most likely group, to use social media for emotional support and development ( | Younger youths were more likely to use social media for its benefits, such as social support, connectivity, and information. Youths would commonly connect with LGBTQ individuals or groups and celebrities. Other benefits included improved emotional support and development. |
| Lucero [ | Examine whether social media provides LGBTQ youths with a safe space for identity exploration and expression | 14 to 17 (mean 16.3) | 19 | Lesbian (n=3), gay (n=8), bisexual (n=1), queer (n=1), unsure (n=3), and not straight (n=3) | Recruitment: flyers sent to LGBTQ organizations and Facebook; data collection: questionnaires and surveys; measures: Social Media Frequency Survey and Facebook Intensity Scale | Three-quarters of Facebook users never or rarely experienced cyberbullying and considered it a safe space for connecting and communicating with others. Over two-thirds of participants reported social media to be a comfortable environment compared with offline. | LGBTQ social media users felt safe to communicate and explore with peers on platforms such as Facebook. |
| McConnell et al [ | Examine the relationship between Facebook and LGBTQ youth identity management | 19 to 28 (mean 24.13, SD 1.64) | 199 | Identifying as male (n=77), identifying as female (n=108), transwomen (n=15), transmen (n=3), gay (n=69), lesbian (n=55), bisexual (n=49), heterosexual (n=10), and unsure (n=8) | Recruitment: LGBTQ youths from a longitudinal study; data collection: questionnaires and surveys; measures: adapted Outness Inventory | Participants were grouped into 4 categories of level of identity disclosure on Facebook: cluster 1 (high overall outness), cluster 2 (low overall outness), cluster 3 (less out to family), and cluster 4 (more out to family). Cluster 1 comprised 64% of the participants with high levels of disclosure among family, classmates or colleagues, and others. | LGBTQ youths felt that free self-expression on social media was complicated because of factors relating to identity disclosure. By investigating Facebook accounts, youths were mostly categorized as being of either low or high outness. Some would purposely censor their identity expression to avoid unintentional identity disclosures. |
| McConnell et al [ | Examine Facebook use among LGBTQ youths, identity management methods, and effects of outness | Mean 24.02 (SD 1.65) | 204 | Transgender (n=24), gay (n=59), lesbian (n=49), bisexual (n=42), heterosexual (n=9), and unsure (n=5) | Recruitment: LGBTQ youths from a longitudinal study via email and flyers sent to LGBTQ organizations; data collection: questionnaires and surveys; measures: adapted Outness Inventory, Multidimensional Scale of Perceived Social Support, and Brief Symptom Inventory | Over 13% had multiple Facebook accounts, and >42% used privacy settings to limit viewable content for selected friends. Participants reported high outness offline and on Facebook, both positively correlated ( | Social media can act as a strategy for identity management, which some users find important. Some LGBTQ youths possessed multiple accounts or platforms where they could differ identity expression according to audience. |
| McInroy et al [ | Explore LGBTQ engagement with web-based and offline communities, activities, and resources | 14 to 29 (mean 18.35, SD 3.64) | 4009 | LGBTQ+ (n=7986), heterosexual (n=58), and cisgender (n=2211) | Recruitment: from LGBTQ organizations and school groups; data collection: questionnaires and surveys; measures: 6-scale questionnaire on activeness, support, and safety in web-based and offline LGBTQ communities | LGBTQ participants would connect more with the LGBTQ community on the web (88%) compared with offline (69%). LGBTQ participants were more engaged (2-tailed t4008=10.12; | LGBTQ youths were likely to participate on the web with other LGBTQ people, including social media. Social media was reported to be a safer, more supportive, and more active option compared with offline. |
| Pellicane et al [ | Examine relationships between social media acceptance and hostility and their effects on mental health | Mean 19.87 | 387 | Heterosexual (n=326), bisexual (n=40), homosexual (n=7), and other (n=5) | Recruitment: undergraduate psychology students from an electronic database; data collection: questionnaires and surveys; measures: Center for Epidemiological Studies-Depression Scale, State-Trait Anxiety Inventory, and Social Media Experiences Questionnaire | There were significant associations between acceptance via social media and reduced symptoms of depression ( | Social media has the benefit of acceptance and support for LGBTQ individuals and can help prevent or reduce anxiety and depression. This pattern was not reflected among the non-LGBTQ population in this study. |
| Twist et al [ | Explore LGB experiences of monitoring web-based visibility and relationships | 18 to 41 (mean 24.67) | 61 | Bisexual (n=33) and same-sex orientated (n=28) | Recruitment: undergraduate students; data collection: questionnaires and surveys; measures: Lesbian, Gay, and Bisexual Identity Scale as well as the Ecological Elements Questionnaire, Family Adaptability and Cohesion Scale-IV, and Same-Sexting Practices and Questionnaire | Facebook had high levels of visibility regarding LGB identity, relationship disclosure (32%), gender identity (30%), and sexuality (31%). Almost half (49%) of the participants felt that partner outness on the web was immaterial. Most (70%) reported infrequent negative responses to web-based identity disclosure. | Most participants reported their sexual identity via social media primarily on Facebook. Most participants did not report negative interactions because of their identity disclosure on social media. |
aLGBTQ: lesbian, gay, bisexual, transgender, and queer.
bLGB: lesbian, gay, and bisexual.