Inflammation Assessed by Latent Profiling is Associated with Stress and Suicidality but not Depression: Findings from the RADAR Cohort Study.

Ethan Morgan, Christina Dyar, Brian Feinstein, Hannah Hudson, Richard D'Aquila, Thomas W McDade, Brian Mustanski
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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.

通过潜伏特征分析评估的炎症与压力和自杀倾向有关,但与抑郁无关:RADAR队列研究的发现
过去的研究表明,性少数群体和性别少数群体的全身炎症水平较高,这反过来又与较差的心理健康结果有关。因此,这项工作的目标是更好地了解这一高风险人群的心理健康变量与炎症之间的关系。研究人员在16-20岁的男男性行为青年和变性女性(YMSM/TGW,样本数=685)中收集了数据。对多重血浆细胞因子和炎症生物标志物进行了量化。心理健康变量为自我报告,包括感知压力、抑郁和自杀倾向。利用潜特征分析(即针对连续变量的潜类分析)确定了具有相似炎症标志物的四种独特的个体特征,然后利用调整后的多项式逻辑回归估计了炎症特征与心理健康变量之间的关联。参与者的压力感知水平适中,抑郁水平正常,10% 的人报告在过去六个月中有自杀倾向。多项式回归模型表明,与炎症程度最低的人群相比,炎症程度最高的人群仅与压力感和自杀倾向的增加有显著关系。总之,我们观察到炎症与感知到的压力和自杀意念之间有明显的关系,但炎症与抑郁之间没有关系。未来的研究应继续使用纵向数据来评估这些关系,因为它们错综复杂,很可能是双向的,可能是减少该人群健康差异的关键。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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