Evidence map›Paper›PMID 37599862›Full record

ArticleAnnals of LGBTQ public and population health2023

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

Open access · greenAbstract read
In one paragraph

Article in Annals of LGBTQ public and population health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Ethan MorganCollege of Nursing, Infectious Disease Institute, The Ohio State University, Columbus, OH.
Christina DyarInstitute for Sexual and Gender Minority Health and Wellbeing, Northwestern University, Chicago, IL.
Brian FeinsteinDepartment of Psychology, Rosalind Franklin University, North Chicago, IL.
Hannah HudsonDivision of Infectious Diseases, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL.
Richard D'AquilaDivision of Infectious Diseases, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL.
Thomas W McDadeDepartment of Anthropology and Institute for Policy Research, Northwestern University, Evanston, IL.
Brian MustanskiInstitute for Sexual and Gender Minority Health and Wellbeing, Northwestern University, Chicago, IL.
Northwestern University · USRosalind Franklin University of Medicine and Science · USThe Ohio State University · US

Funding

Virology and Immunology Technology CoreP30AI117943 · NIAID · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Kathryn Rose Macapagal · 2015 to 2026
$38.4M
The RADAR cohort study of multilevel Influences on HIV and substance useU01DA036939 · NIDA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Brian Mustanski, Michael E Newcomb · 2014 to 2026
$29.5M
Understanding Substance Use Risk among Sexual Minority WomenK01DA046716 · NIDA · OHIO STATE UNIVERSITY · PI DYAR, CHRISTINA · 2019 to 2023
$843k
Understanding and reducing HIV risk behavior and substance use among self-identified bisexual adolescent menK08DA045575 · NIDA · ROSALIND FRANKLIN UNIV OF MEDICINE & SCI · PI FEINSTEIN, BRIAN · 2018 to 2022
$837k
Substance Use, Stress, and HIV Influences on Systemic Inflammation Among Young Men Who Have Sex With MenF32DA046313 · NIDA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MORGAN, ETHAN · 2018 to 2019
$119k
NIAID NIH HHS P30 AI117943NIDA NIH HHS F32 DA046313NIDA NIH HHS K01 DA046716NIDA NIH HHS K08 DA045575NIDA NIH HHS U01 DA036939
6 · The paper itself

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.

Indexed as

inflammationLGBTQ healthmental healthpublic healthsexual minority

Identifiers

PMID37599862
PMCPMC10437120
OpenAlexW4283278654

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.