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1.
J Adolesc Health ; 66(3): 275-280, 2020 03.
Article in English | MEDLINE | ID: mdl-31690534

ABSTRACT

PURPOSE: Transgender adolescents are at higher risk for negative mental health outcomes, such as depression, anxiety, and suicidality, compared with cisgender adolescents. Social media may be an effective venue for addressing these health disparities because most adolescents have access to online information and socialization. This study used qualitative inquiry to explore transgender adolescents' uses of social media for social support. METHODS: Transgender adolescents between the ages of 15 and 18 years with a social media profile were recruited from a pediatric gender clinic in the Midwestern U.S. A 30- to 60-minute semistructured interview assessed ways participants used social media to access transgender-related support. Thematic analysis was used to develop categories and code the transcripts. Coding discrepancies were resolved by two researchers following initial coding. RESULTS: Results represent data from 25 interviews comprising 13 transmasculine, 11 transfeminine, and one nonbinary participant(s), with 68% of the sample identifying as white, non-Hispanic. Categories emerged regarding forms of support participants received from transgender-related online communities including emotional support through peers and role models, appraisal support for validating their experiences, and informational support for navigating health decisions and educating family and friends. Participants also referenced negative experiences, including harassment and exclusionary behavior online. CONCLUSIONS: Social media platforms represent hubs of community for transgender adolescents. These communities provide emotional, appraisal, and informational support that transgender youth may not otherwise be able to access. Future research should use the affordances of social media to identify approaches to addressing health disparities and improving the well-being of transgender adolescents.


Subject(s)
Social Media/statistics & numerical data , Social Support , Transgender Persons/psychology , Transsexualism , Adolescent , Gender Identity , Humans , Interviews as Topic , Qualitative Research
2.
Metab Syndr Relat Disord ; 6(1): 64-73, 2008 Mar.
Article in English | MEDLINE | ID: mdl-18370838

ABSTRACT

BACKGROUND: Various adipose tissue factors have been implicated as biomarkers of the metabolic syndrome (MS). The objective of this study was to assess which specific adipose tissue factors would discriminate the presence of MS in a strictly obese population meeting waist circumference (WC) criteria for the MS. METHODS: This was a cross-sectional study of 148 subjects recruited from a university-based weight loss program prior to starting the program. Patients were eligible if they had a BMI more than 25 kg/m(2) and had WC more than 40 and 35 inches in males and females, respectively. Biomarkers measured included high sensitivity C-reactive protein (hs-CRP), leptin, adiponectin, and total insulin. RESULTS: Of the total population, 33.8% satisfied criteria for the MS. Insulin was the only biomarker to consistently differentiate between presence and absence of MS in this obese population (P = 0.0001 in males, P = 0.006 in females). All biomarkers measured with the exception of leptin had a statistically significant relationship with increasing criteria for the MS. CONCLUSIONS: In a population where an excess amount of adipose tissue exists, insulin is the only reliable biomarker to differentiate MS status. We surmise that differences in hs-CRP, leptin, and adiponectin are a reflection of their measurements in individuals with statistically different amounts of adipose tissue.


Subject(s)
C-Reactive Protein/analysis , Insulin/analysis , Leptin/analysis , Metabolic Syndrome/blood , Obesity/complications , Waist-Hip Ratio , Adiponectin/analysis , Adiponectin/blood , Adult , Biomarkers/analysis , Biomarkers/blood , Body Fat Distribution , Cross-Sectional Studies , Female , Humans , Insulin Resistance/physiology , Leptin/blood , Male , Metabolic Syndrome/complications , Metabolic Syndrome/epidemiology , Middle Aged , Obesity/blood , Prevalence
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