Sexual orientation and gender identity (SOGI) data in dermatologic studies and opportunities for inclusion.

Dermatol Online J

Department of Dermatology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA Dermatology Service, U.S. Department of Veterans Affairs Rocky Mountain Regional Medical Center, Aurora, Colorado, USA.

Published: March 2022

Dermatologists serve a vast array of patients with unique backgrounds. The National Institutes of Health (NIH) designated members of sexual and gender minorities as underrepresented in scholarly literature. Our study examines the past 10 years of studies published in highly-cited dermatologic journals, surveying each study for common data collection of sexual orientation and gender identity (SOGI) in dermatological studies. We found representation of sexual and gender minorities to be increasing in dermatological studies but recommend that SOGI data be collected regularly just as any other common variable in dermatological patient studies.

Download full-text PDF

Source
http://dx.doi.org/10.5070/D328257393DOI Listing

Publication Analysis

Top Keywords

sexual orientation
8
orientation gender
8
gender identity
8
identity sogi
8
sogi data
8
sexual gender
8
gender minorities
8
dermatological studies
8
studies
5
sexual
4

Similar Publications

The Future of HIV: Challenges in meeting the 2030 Ending the HIV Epidemic in the U.S. (EHE) reduction goal.

AIDS

January 2025

Center for Biomedical Modeling, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA.

Objectives: To predict the burden of HIV in the United States (US) nationally and by region, transmission type, and race/ethnicity through 2030.

Methods: Using publicly available data from the CDC NCHHSTP AtlasPlus dashboard, we generated 11-year prospective forecasts of incident HIV diagnoses nationally and by region (South, non-South), race/ethnicity (White, Hispanic/Latino, Black/African American), and transmission type (Injection-Drug Use, Male-to-Male Sexual Contact (MMSC), and Heterosexual Contact (HSC)). We employed weighted (W) and unweighted (UW) n-sub-epidemic ensemble models, calibrated using 12 years of historical data (2008-2019), and forecasted trends for 2020-2030.

View Article and Find Full Text PDF

This review examined research to identify longitudinal predictors of adolescent sexual behavior outcomes. These predictors hold promise as potential outcomes for teen pregnancy prevention program evaluations when measuring sexual behavior outcomes is infeasible or theoretically, methodologically, or developmentally inappropriate. We conducted a systematic review using a prespecified search strategy and processes consistent with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

View Article and Find Full Text PDF

A Qualitative Study of First HIV Test Experiences Among Sexual and Gender Minority Adolescents.

Sex Res Social Policy

December 2024

Institute for Sexual and Gender Minority Health and Wellbeing, Northwestern University, 625 N. Michigan Avenue, Suite 1400, Chicago, IL 60611, USA.

Introduction: This qualitative study examined adolescents' first experiences with HIV testing.

Methods: Data were collected from April 2018 to October 2020 as part of an HIV prevention and sex education intervention; SGM adolescents ( = 175) answered open-ended questions regarding experiences with their first HIV test and advice for other adolescents seeking HIV testing. Data were analyzed through inductive content analysis.

View Article and Find Full Text PDF

A novel automatic framework is proposed for global sexually transmissible infections (STIs) and HIV risk prediction. Four machine learning methods, namely, Gradient Boosting Machine (GBM), Random Forest (RF), XG Boost, and Ensemble learning GBM-RF-XG Boost are applied and evaluated on the Demographic and Health Surveys Program (DHSP), with thirteen features ultimately selected as the most predictive features. Classification and generalization experiments are conducted to test the accuracy, F1-score, precision, and area under the curve (AUC) performance of these four algorithms.

View Article and Find Full Text PDF

Background: (MG) poses a growing public health concern due to the escalating antimicrobial resistance. We aimed to assess site-specific MG infection and its correlates and macrolide and fluoroquinolones mutations among men who have sex with men (MSM) in Shenzhen, China.

Methods: Samples were obtained from different anatomic sites of MSM based on their sexual behavior.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!