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Inflammation Assessed by Latent Profiling is Associated with Stress and Suicidality but not Depression: Findings from
Ethan Morgan1, Christina Dyar2, Brian Feinstein3
1College of Nursing, Infectious Disease Institute, The Ohio State University, Columbus, OH.
Abstract:
Past research has suggested that sexual and gender minorities experience elevated levels of systemic inflammation which in turn has been linked to worse mental health outcomes. Therefore, the goals of this work are to develop a better understanding of the relationship between mental health variables and inflammation among this high-risk population. Data were collected among a sample of young men who have sex with men and transgender women (YMSM/TGW, N=685) aged 16-20 at the time of enrollment. Multiplex plasma cytokine and inflammatory biomarkers were quantified. Mental health variables were self-reported and included perceived stress, depression, and suicidal ideation. Latent profile analyses (i.e., latent class analyses intended for continuous variables) were utilized to identify four unique profiles of individuals with similar inflammatory markers followed by adjusted multinomial logistic regression to estimate the association between inflammatory profiles and mental health variables. Participants experienced moderate levels of perceived stress, normal levels of depression and ten percent reported suicidal ideation in the past six months. Multinomial regression models indicated that being in the highest inflammation profile, compared to the lowest inflammation profile, was significantly associated only with increased perceived stress and suicidal ideation. In sum, we observed significant relationships between inflammation and both perceived stress and suicidal ideation, but not between inflammation and depression. Future research should continue to assess these relationships using longitudinal data as they are intricate and likely bidirectional and may be key to reducing health disparities among this population.
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