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Correlates of wanting to seek help for mental health and substance use concerns by sexual and gender minority young adults during the COVID-19 pandemic: A machine learning analysis

The COVID-19 pandemic has worsened the mental health and substance use challenges among many people who are Two Spirit, lesbian, gay, bisexual, transgender, queer, questioning, and intersex (2SLGBTQI+). We aimed to identify the important correlates and their effects on the predicted likelihood of wa...

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Autores principales: Kundu, Anasua, Fu, Rui, Grace, Daniel, Logie, Carmen H., Abramovich, Alex, Baskerville, Bruce, Yager, Christina, Schwartz, Robert, Mitsakakis, Nicholas, Planinac, Lynn, Chaiton, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9668172/
https://www.ncbi.nlm.nih.gov/pubmed/36383536
http://dx.doi.org/10.1371/journal.pone.0277438
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author Kundu, Anasua
Fu, Rui
Grace, Daniel
Logie, Carmen H.
Abramovich, Alex
Baskerville, Bruce
Yager, Christina
Schwartz, Robert
Mitsakakis, Nicholas
Planinac, Lynn
Chaiton, Michael
author_facet Kundu, Anasua
Fu, Rui
Grace, Daniel
Logie, Carmen H.
Abramovich, Alex
Baskerville, Bruce
Yager, Christina
Schwartz, Robert
Mitsakakis, Nicholas
Planinac, Lynn
Chaiton, Michael
author_sort Kundu, Anasua
collection PubMed
description The COVID-19 pandemic has worsened the mental health and substance use challenges among many people who are Two Spirit, lesbian, gay, bisexual, transgender, queer, questioning, and intersex (2SLGBTQI+). We aimed to identify the important correlates and their effects on the predicted likelihood of wanting to seek help among 2SLGBTQI+ young adults for mental health or substance use concerns during the pandemic. A cross-sectional survey was conducted in 2020–2021 among 2SLGBTQI+ young adults aged 16–29 living in two Canadian provinces (Ontario and Quebec). Among 1414 participants, 77% (n = 1089) wanted to seek help for their mental health or substance use concerns during the pandemic, out of these, 69.8% (n = 760) reported delay in accessing care. We built a random forest (RF) model to predict the status of wanting to seek help, which achieved moderately high performance with an area under the receiver operating characteristic curve (AUC) of 0.85. The top 10 correlates of wanting to seek help were worsening mental health, age, stigma and discrimination, and adverse childhood experiences. The interactions of adequate housing with certain sexual orientations, gender identities and mental health challenges were found to increase the likelihood of wanting to seek help. We built another RF model for predicting risk of delay in accessing care among participants who wanted to seek help (n = 1089). The model identified a similar set of top 10 correlates of delay in accessing care but lacked adequate performance (AUC 0.61). These findings can direct future research and targeted prevention measures to reduce health disparities for 2SLGBTQI+ young adults.
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spelling pubmed-96681722022-11-17 Correlates of wanting to seek help for mental health and substance use concerns by sexual and gender minority young adults during the COVID-19 pandemic: A machine learning analysis Kundu, Anasua Fu, Rui Grace, Daniel Logie, Carmen H. Abramovich, Alex Baskerville, Bruce Yager, Christina Schwartz, Robert Mitsakakis, Nicholas Planinac, Lynn Chaiton, Michael PLoS One Research Article The COVID-19 pandemic has worsened the mental health and substance use challenges among many people who are Two Spirit, lesbian, gay, bisexual, transgender, queer, questioning, and intersex (2SLGBTQI+). We aimed to identify the important correlates and their effects on the predicted likelihood of wanting to seek help among 2SLGBTQI+ young adults for mental health or substance use concerns during the pandemic. A cross-sectional survey was conducted in 2020–2021 among 2SLGBTQI+ young adults aged 16–29 living in two Canadian provinces (Ontario and Quebec). Among 1414 participants, 77% (n = 1089) wanted to seek help for their mental health or substance use concerns during the pandemic, out of these, 69.8% (n = 760) reported delay in accessing care. We built a random forest (RF) model to predict the status of wanting to seek help, which achieved moderately high performance with an area under the receiver operating characteristic curve (AUC) of 0.85. The top 10 correlates of wanting to seek help were worsening mental health, age, stigma and discrimination, and adverse childhood experiences. The interactions of adequate housing with certain sexual orientations, gender identities and mental health challenges were found to increase the likelihood of wanting to seek help. We built another RF model for predicting risk of delay in accessing care among participants who wanted to seek help (n = 1089). The model identified a similar set of top 10 correlates of delay in accessing care but lacked adequate performance (AUC 0.61). These findings can direct future research and targeted prevention measures to reduce health disparities for 2SLGBTQI+ young adults. Public Library of Science 2022-11-16 /pmc/articles/PMC9668172/ /pubmed/36383536 http://dx.doi.org/10.1371/journal.pone.0277438 Text en © 2022 Kundu et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Kundu, Anasua
Fu, Rui
Grace, Daniel
Logie, Carmen H.
Abramovich, Alex
Baskerville, Bruce
Yager, Christina
Schwartz, Robert
Mitsakakis, Nicholas
Planinac, Lynn
Chaiton, Michael
Correlates of wanting to seek help for mental health and substance use concerns by sexual and gender minority young adults during the COVID-19 pandemic: A machine learning analysis
title Correlates of wanting to seek help for mental health and substance use concerns by sexual and gender minority young adults during the COVID-19 pandemic: A machine learning analysis
title_full Correlates of wanting to seek help for mental health and substance use concerns by sexual and gender minority young adults during the COVID-19 pandemic: A machine learning analysis
title_fullStr Correlates of wanting to seek help for mental health and substance use concerns by sexual and gender minority young adults during the COVID-19 pandemic: A machine learning analysis
title_full_unstemmed Correlates of wanting to seek help for mental health and substance use concerns by sexual and gender minority young adults during the COVID-19 pandemic: A machine learning analysis
title_short Correlates of wanting to seek help for mental health and substance use concerns by sexual and gender minority young adults during the COVID-19 pandemic: A machine learning analysis
title_sort correlates of wanting to seek help for mental health and substance use concerns by sexual and gender minority young adults during the covid-19 pandemic: a machine learning analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9668172/
https://www.ncbi.nlm.nih.gov/pubmed/36383536
http://dx.doi.org/10.1371/journal.pone.0277438
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