Share:
Peer-Reviewed Publication
LGBT Health2024;11(4):292-300.January 1, 2024Journal Article

Active Social Media Use and Health Indicators Among Sexual and Gender Minority Adults.

Erin A Vogel1, Annesa Flentje2,3,4, Mitchell R Lunn4,5,6, Juno Obedin-Maliver4,6,7, Matthew R Capriotti8, Danielle E Ramo9, Judith J Prochaska1
1Stanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, California, USA.
2Department of Community Health Systems, School of Nursing, University of California, San Francisco, San Francisco, California, USA.
3Alliance Health Project, Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California, San Francisco, San Francisco, California, USA.
4The PRIDE Study/PRIDEnet, Stanford University School of Medicine, Stanford, California, USA.
5Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA.
6Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California, USA.
7Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, California, USA.
8Department of Psychology, San Jose State University, San Jose, California, USA.
9BeMe Health, Marblehead, Massachusetts, USA.

Abstract

Purpose: Sexual and gender minority (SGM) individuals may receive social support through active use of social media (i.e., posting and interacting). This study examined associations between active social media use, social support, and health indicators in a large sample of SGM adults in the United States. Methods: Data were derived from the 2017 wave of The PRIDE Study, a national cohort study of…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.