Evaluating the Safety of Assessing and Factors Associated With Suicidality and Self-Injury Within a Remote Online Assessment Among Sexual Minority Men in the United States

Abstract

Research suggests that sexual minority individuals are at increased risk of suicide compared with the general population. As technology continues to develop in sophistication and accessibility, a growing number of research and therapeutic interventions utilize web-based assessments. To facilitate future research on assessing and responding to suicidal thoughts and behaviors, we describe the implementation of procedures for doing so in the context of a limited-interaction, remote cohort study. We describe factors associated with suicidal thoughts and behaviors among sexual minority men (SMM) that can guide risk/benefit assessments in future studies. Descriptive statistics were used to characterize the sample in terms of self-injury/suicidality. Bivariate χ2tests were conducted to explore differences in these indicators by age, race and ethnicity, sexual orientation, health insurance, region, education, and self-ranked socioeconomic status. Additionally, logistic regressions were used to examine associations between demographic characteristics, various psychosocial syndemic factors, and the four measures of self-injury/suicidality. In addition, we describe the experiences completing the suicidality follow-up protocol within the study. We conducted a nationwide study of 10,607 participants and found that 27.8% had a history of self-injury, 5.6% in the past year, 21.0% had attempted suicide, 18.2% experienced suicidal ideation, and 9.4% had thoughts of killing themselves. Logistic regressions revealed that depression, everyday discrimination based on sexual orientation, childhood sexual assault, and intimate partner violence were the strongest predictors of self-injury and suicidality. Study participants experienced high rates of self-injury and suicidality. Effective protocols can be developed to assess and respond to suicide risk in web-based SMM studies.