1,028
Views
7
CrossRef citations to date
0
Altmetric
Research Article

Minority Stress as a Multidimensional Predictor of LGB+ Adolescents’ Mental Health Outcomes

, MS, , PhD & , MEd
Pages 938-962 | Published online: 22 Nov 2021
 

ABSTRACT

The minority stress model has been used to explain added daily stressors that non-heterosexual (LGB+) individuals experience. While the emphasis of minority stress research is frequently broad (global minority stress) or narrow (specific stressors) in focus, the literature often refers to specific stressors at the domain level as either distal (external) or proximal (internal). This study found that, compared with broad and narrow levels, a domain level approach may be best for understanding the predictive value of minority stress. Multiple regression analyses with a sample of 152 LGB+ adolescents found that distal stress predicted substance misuse (p < .001) and suicidality (p = .002) and was a stronger predicter than proximal stress for psychological inflexibility. This study might contribute to an evidence base that could guide measurement approaches for assessing minority stress and using related results to inform the prediction of—and, ultimately, intervention with—LGB+ adolescents’ mental health outcomes.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The author(s) reported there is no funding associated with the work featured in this article.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 412.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.