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Self-reported mental health during the COVID-19 pandemic and its association with alcohol and cannabis use: a latent class analysis
BACKGROUND: Mental health problems and substance use co-morbidities during and after the COVID-19 pandemic are a public health priority. Identifying individuals at high-risk of developing mental health problems and potential sequela can inform mitigating strategies. We aimed to identify distinct gro...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9055215/ https://www.ncbi.nlm.nih.gov/pubmed/35490222 http://dx.doi.org/10.1186/s12888-022-03917-z |
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author | Somé, Nibene Habib Wells, Samantha Felsky, Daniel Hamilton, Hayley A. Ali, Shehzad Elton-Marshall, Tara Rehm, Jürgen |
author_facet | Somé, Nibene Habib Wells, Samantha Felsky, Daniel Hamilton, Hayley A. Ali, Shehzad Elton-Marshall, Tara Rehm, Jürgen |
author_sort | Somé, Nibene Habib |
collection | PubMed |
description | BACKGROUND: Mental health problems and substance use co-morbidities during and after the COVID-19 pandemic are a public health priority. Identifying individuals at high-risk of developing mental health problems and potential sequela can inform mitigating strategies. We aimed to identify distinct groups of individuals (i.e., latent classes) based on patterns of self-reported mental health symptoms and investigate their associations with alcohol and cannabis use. METHODS: We used data from six successive waves of a web-based cross-sectional survey of adults aged 18 years and older living in Canada (6,021 participants). We applied latent class analysis to three domains of self-reported mental health most likely linked to effects of the pandemic: anxiety, depression, and loneliness. Logistic regression was used to characterize latent class membership, estimate the association of class membership with alcohol and cannabis use, and perform sex-based analyses. RESULTS: We identified two distinct classes: (1) individuals with low scores on all three mental health indicators (no/low-symptoms) and (2) those reporting high scores across the three measures (high-symptoms). Between 73.9 and 77.1% of participants were in the no/low-symptoms class and 22.9–26.1% of participants were in the high-symptom class. We consistently found across all six waves that individuals at greater risk of being in the high-symptom class were more likely to report worrying about getting COVID-19 with adjusted odds ratios (aORs) between 1.72 (95%CI:1.17–2.51) and 3.51 (95%CI:2.20–5.60). Those aged 60 + were less likely to be in this group with aORs (95%CI) between 0.26 (0.15–0.44) and 0.48 (0.29–0.77) across waves. We also found some factors associated with class membership varied at different time points. Individuals in the high-symptom class were more likely to use cannabis at least once a week (aOR = 2.28, 95%CI:1.92–2.70), drink alcohol heavily (aOR = 1.71, 95%CI:1.49–1.96); and increase the use of cannabis (aOR = 3.50, 95%CI:2.80–4.37) and alcohol (aOR = 2.37, 95%CI:2.06–2.74) during the pandemic. Women in the high-symptom class had lower odds of drinking more alcohol during the pandemic than men. CONCLUSIONS: We identified the determinants of experiencing high anxiety, depression, and loneliness symptoms and found a significant association with alcohol and cannabis consumption. This suggests that initiatives and supports are needed to address mental health and substance use multi-morbidities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-022-03917-z. |
format | Online Article Text |
id | pubmed-9055215 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-90552152022-05-01 Self-reported mental health during the COVID-19 pandemic and its association with alcohol and cannabis use: a latent class analysis Somé, Nibene Habib Wells, Samantha Felsky, Daniel Hamilton, Hayley A. Ali, Shehzad Elton-Marshall, Tara Rehm, Jürgen BMC Psychiatry Research BACKGROUND: Mental health problems and substance use co-morbidities during and after the COVID-19 pandemic are a public health priority. Identifying individuals at high-risk of developing mental health problems and potential sequela can inform mitigating strategies. We aimed to identify distinct groups of individuals (i.e., latent classes) based on patterns of self-reported mental health symptoms and investigate their associations with alcohol and cannabis use. METHODS: We used data from six successive waves of a web-based cross-sectional survey of adults aged 18 years and older living in Canada (6,021 participants). We applied latent class analysis to three domains of self-reported mental health most likely linked to effects of the pandemic: anxiety, depression, and loneliness. Logistic regression was used to characterize latent class membership, estimate the association of class membership with alcohol and cannabis use, and perform sex-based analyses. RESULTS: We identified two distinct classes: (1) individuals with low scores on all three mental health indicators (no/low-symptoms) and (2) those reporting high scores across the three measures (high-symptoms). Between 73.9 and 77.1% of participants were in the no/low-symptoms class and 22.9–26.1% of participants were in the high-symptom class. We consistently found across all six waves that individuals at greater risk of being in the high-symptom class were more likely to report worrying about getting COVID-19 with adjusted odds ratios (aORs) between 1.72 (95%CI:1.17–2.51) and 3.51 (95%CI:2.20–5.60). Those aged 60 + were less likely to be in this group with aORs (95%CI) between 0.26 (0.15–0.44) and 0.48 (0.29–0.77) across waves. We also found some factors associated with class membership varied at different time points. Individuals in the high-symptom class were more likely to use cannabis at least once a week (aOR = 2.28, 95%CI:1.92–2.70), drink alcohol heavily (aOR = 1.71, 95%CI:1.49–1.96); and increase the use of cannabis (aOR = 3.50, 95%CI:2.80–4.37) and alcohol (aOR = 2.37, 95%CI:2.06–2.74) during the pandemic. Women in the high-symptom class had lower odds of drinking more alcohol during the pandemic than men. CONCLUSIONS: We identified the determinants of experiencing high anxiety, depression, and loneliness symptoms and found a significant association with alcohol and cannabis consumption. This suggests that initiatives and supports are needed to address mental health and substance use multi-morbidities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-022-03917-z. BioMed Central 2022-04-30 /pmc/articles/PMC9055215/ /pubmed/35490222 http://dx.doi.org/10.1186/s12888-022-03917-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Somé, Nibene Habib Wells, Samantha Felsky, Daniel Hamilton, Hayley A. Ali, Shehzad Elton-Marshall, Tara Rehm, Jürgen Self-reported mental health during the COVID-19 pandemic and its association with alcohol and cannabis use: a latent class analysis |
title | Self-reported mental health during the COVID-19 pandemic and its association with alcohol and cannabis use: a latent class analysis |
title_full | Self-reported mental health during the COVID-19 pandemic and its association with alcohol and cannabis use: a latent class analysis |
title_fullStr | Self-reported mental health during the COVID-19 pandemic and its association with alcohol and cannabis use: a latent class analysis |
title_full_unstemmed | Self-reported mental health during the COVID-19 pandemic and its association with alcohol and cannabis use: a latent class analysis |
title_short | Self-reported mental health during the COVID-19 pandemic and its association with alcohol and cannabis use: a latent class analysis |
title_sort | self-reported mental health during the covid-19 pandemic and its association with alcohol and cannabis use: a latent class analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9055215/ https://www.ncbi.nlm.nih.gov/pubmed/35490222 http://dx.doi.org/10.1186/s12888-022-03917-z |
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