Evidence map›Paper›PMID 38413409›Full record

ArticleJournal of community health2024

The Association of Sexual Minority Status with the Prevalence, Diagnosis, and Treatment of Depression among NYC Adults.

Danylo Orlov, Rose Calixte

Abstract read
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Article in Journal of community health, 2024. 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, top 97% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

2 authors at 1 institution in 1 country.

Danylo OrlovSUNY Downstate Health Sciences University, 450 Clarkson Ave, Brooklyn, NY, 11203, USA. Danylo.orlov@downstate.edu.ORCID 0009-0003-3069-199X
Rose CalixteSUNY Downstate Health Sciences University, 450 Clarkson Ave, Brooklyn, NY, 11203, USA.ORCID 0000-0002-2020-5906
SUNY Downstate Health Sciences University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Major depressive disorder (MDD) is a common mental health disorder with a lifetime prevalence of 20.6% among United States (US) adults. Multiple US surveys have shown a consistently higher burden of mental health struggles among lesbian, gay, bisexual, trans, and questioning (LGBTQ+) adults compared to non-LGBTQ+ adults. However, it is not known whether diagnosis and treatment for those adults who do report symptoms of MDD differ based on sexual orientation. We test for differences in prevalence, diagnosis, and treatment of MDD in sexual minorities using appropriate multivariable logistic regression using the New York City Health and Nutrition Examination Survey (NYC HANES). About 10% of NYC adults (≥ 20 years old) self-identify as a sexual minority and 8.5% of adults in NYC have MDD based on the Patient Health Questionnaire (PHQ-9) score. Significantly higher proportion of sexual minorities in NYC have depression compared to non-sexual minorities (17.7% vs. 7.6%, p = 0.01). In the multivariable model, sexual minorities were 2.33 (CI = [1.24-4.39], p = 0.009) times more likely to have depression compared to non-sexual minorities. Additionally, people with multimorbidity were more likely to be diagnosed for depression (OR = 3.78, CI = [1.33, 10.75], p = 0.013). Disparities exist in the prevalence, diagnosis, and treatment of MDD in NYC adults. Targeted outreach toward the LGBTQ + community should be considered by public health officials when designing primary and secondary prevention programs for depression.

Indexed as

Major Depressive DisorderSexual and Gender MinoritiesAdultFemaleHumansMaleMiddle AgedNew York CityPrevalenceYoung AdultDepressionDiagnosisDisparitiesLGBTQPrevalenceTreatment

Identifiers

PMID38413409
OpenAlexW4392188087

What OpenQuestion holds

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Registered trials

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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.