Evidence map›Paper›PMID 41662011›Full record

ArticlePLOS mental health2025

Mental health inequities affecting sexual and gender diverse individuals during the early COVID-19 period in Massachusetts.

Jessica H Leibler, Yirong Yuan, Elizabeth Beatriz, Ta-Wei Lin, McKane Sharff, Caroline Stack, Lauren Cardoso, Koen Tieskens, Kerra Washington, Xiaojing Peng and 1 more

Abstract read
In one paragraph

Article in PLOS mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Jessica H LeiblerDepartment of Environmental Health, Boston University School of Public Health, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0002-0605-0928
Yirong YuanDepartment of Environmental Health, Boston University School of Public Health, Boston, Massachusetts, United States of America.
Elizabeth BeatrizOffice of Statistics and Evaluation, Bureau of Community Health and Prevention, Massachusetts Department of Public Health, Boston, Massachusetts, United States of America.
Ta-Wei LinOffice of Statistics and Evaluation, Bureau of Community Health and Prevention, Massachusetts Department of Public Health, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0001-9466-8500
McKane SharffOffice of Statistics and Evaluation, Bureau of Community Health and Prevention, Massachusetts Department of Public Health, Boston, Massachusetts, United States of America.
Caroline StackOffice of Statistics and Evaluation, Bureau of Community Health and Prevention, Massachusetts Department of Public Health, Boston, Massachusetts, United States of America.
Lauren CardosoOffice of Statistics and Evaluation, Bureau of Community Health and Prevention, Massachusetts Department of Public Health, Boston, Massachusetts, United States of America.
Koen TieskensDepartment of Environmental Health, Boston University School of Public Health, Boston, Massachusetts, United States of America.
Kerra WashingtonOffice of Statistics and Evaluation, Bureau of Community Health and Prevention, Massachusetts Department of Public Health, Boston, Massachusetts, United States of America.
Xiaojing PengDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America.
Prasad PatilDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While the COVID-19 pandemic negatively affected population-level mental health, research on mental health among sexual and gender minority (SGM) individuals and intersectional identities is limited. We evaluated associations between gender, sexual, racial, and ethnic identities and moderate to severe psychological distress (≥15 days of self-reported poor mental health during the last 30 days) among adult residents of Massachusetts (n = 26,889) from September-November 2020. We used multivariable logistic regression with propensity score weighting and considered intersectional identities by race, ethnicity, sexual orientation and gender. Results: Respondents identifying as lesbian, gay, bisexual, queer, asexual, or questioning (LGB+) experienced 83% increased odds of psychological distress compared to heterosexual/straight individuals (OR: 1.83 (1.34, 2.50); p < 0.001). Respondents identifying as transgender and/or nonbinary (TNB) had the highest prevalence of psychological distress and experienced 57% increased odds of psychological distress compared to the referent group (OR: 1.57 (1.21, 2.04); p < 0.001). Respondents identifying as Hispanic/Latinx, Black non-Hispanic (NH), or Asian NH reported reduced odds of psychological distress (Hispanic (OR: 0.75 (0.67, 0.84); p < 0.001), Black NH (OR: 0.75 (0.64, 0.88); p < 0.001), and Asian NH (OR: 0.61 (0.51,0.73); p < 0.001). We observed reduced odds of psychological distress among LGB+ respondents of color (OR: 1.03 (0.82, 1.29); p = 0.83) and TNB respondents of color (OR: 1.27 (0.73, 2.20); p = 0.39) compared to LGB+ and TNB estimates alone, although neither interaction was statistically significant. Mental health inequities among SGM individuals in Massachusetts were exacerbated during the early pandemic period. Social and structural inequities experienced by SGM individuals may contribute to higher risk of psychological distress. Public health policies and practices to address the root causes of inequities and promote mental health among SGM communities are warranted.

Identifiers

PMID41662011
PMCPMC12798262

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.