Evidence map›Paper›PMID 33753401›Full record

ArticleBMJ global health2021

Characterising the impact of COVID-19 environment on mental health, gender affirming services and socioeconomic loss in a global sample of transgender and non-binary people: a structural equation modelling.

Arjee Javellana Restar, Harry Jin, Brooke Jarrett, Tyler Adamson, Stefan David Baral, Sean Howell, S Wilson Beckham

Abstract read
In one paragraph

Article in BMJ global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Gender-affirming care is preventative care.Lancet regional health. Americas · 2023
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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.

Arjee Javellana RestarDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA arestar1@jhmi.edu.ORCID 0000-0003-2992-8198
Harry JinDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Brooke JarrettDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Tyler AdamsonDepartment of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Stefan David BaralDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Sean HowellHornet, San Francisco, California, USA.
S Wilson BeckhamDepartment of Health Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.

Funding

Johns Hopkins HIV Epidemiology and Prevention Sciences Training ProgramT32AI102623 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Shruti H Mehta · 2013 to 2026
$5.3M
Preferences for PrEP in Tanzanian Women at Heightened Risk of HIV InfectionK01MH114715 · NIMH · JOHNS HOPKINS UNIVERSITY · PI COLE, SAM WILSON · 2017 to 2021
$732k
The Role of an Artificially Intelligent Chatbot in Social Support, Antiretroviral Adherence, and Depressive Symptoms among Young Adults Living with HIV in South AfricaF31MH121128 · NIMH · JOHNS HOPKINS UNIVERSITY · PI JARRETT, BROOKE · 2020 to 2021
$92k
NIAID NIH HHS T32 AI102623NIMH NIH HHS F31 MH121128NIMH NIH HHS K01 MH114715
6 · The paper itself

Abstract

backgroundWe characterised the impact of COVID-19 on the socioeconomic conditions, access to gender affirmation services and mental health outcomes in a sample of global transgender (trans) and non-binary populations.

methodsBetween 16 April 2020 and 3 August 2020, we conducted a cross-sectional survey with a global sample of trans and non-binary people (n=849) through an online social networking app. We conducted structural equational modelling procedures to determine direct, indirect and overall effects between poor mental health (ie, depression and anxiety) and latent variables across socioecological levels: social (ie, reduction in gender affirming services, socioeconomic loss impact) and environmental factors (ie, COVID-19 pandemic environment).

resultsAnxiety (45.82%) and depression (50.88%) in this sample were prevalent and directly linked to COVID-19 pandemic environment. Adjusted for gender identity, age, migrant status, region, education and level of socioeconomic status, our final model showed significant positive associations between relationships of (1) COVID-19 pandemic environment and socioeconomic loss impact (β=0.62, p<0.001), (2) socioeconomic loss impact and reduction in gender affirming services (β=0.24, p<0.05) and (3) reduction in gender affirming services and poor mental health (β=0.19, p<0.05). Moreover, socioeconomic loss impact and reduction in gender affirming services were found to be partial mediators in this model.

conclusionThe study results supported the importance of bolstering access to gender affirming services and strengthening socioeconomic opportunities and programmatic support to buffer the impact of COVID-19 pandemic environment on poor mental health among trans and non-binary communities globally.

Indexed as

AdultCOVID-19Cross-Sectional StudiesFemaleHumansLatent Class AnalysisMaleMental DisordersMiddle AgedPandemicsPneumonia, ViralPrevalenceSARS-CoV-2Social MediaSocioeconomic FactorsTransgender PersonsCOVID-19mental health & psychiatrypublic health

Identifiers

PMID33753401
PMCPMC7985976

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LicenceCC BY-NC
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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.