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1.
Can J Public Health ; 2022 Nov 15.
Article in English | MEDLINE | ID: covidwho-2227325
2.
BMC Psychiatry ; 22(1): 306, 2022 04 30.
Article in English | MEDLINE | ID: covidwho-1892188

ABSTRACT

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.


Subject(s)
COVID-19 , Cannabis , Substance-Related Disorders , Adult , COVID-19/epidemiology , Cross-Sectional Studies , Female , Humans , Latent Class Analysis , Male , Mental Health , Pandemics , Self Report , Substance-Related Disorders/epidemiology
3.
Alcohol Clin Exp Res ; 46(4): 498-513, 2022 04.
Article in English | MEDLINE | ID: covidwho-1784570

ABSTRACT

The objective of this study is to summarize the research on the relationships between exposure to the COVID-19 pandemic or previous pandemics and changes in alcohol use. A systematic search of Medline and Embase was performed to identify cohort and cross-sectional population studies that examined changes in alcohol use during or following a pandemic compared to before a pandemic occurred. Outcomes examined included differences in the volume and frequency of alcohol consumption and the frequencies of heavy episodic drinking (HED) and alcohol-related problems during a pandemic compared to before a pandemic. Quality assessment was performed using the Cochrane Risk of Bias Tool for Nonrandomized Studies. This study was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The search yielded 672 articles; 27 were included in the narrative review, of which 6 were cohort studies (all from high-income countries). A total of 259,188 participants were included. All cohort studies examined the impact of COVID-19 and associated pandemic-related policies, including social distancing and alcohol-specific policies, on alcohol use. Cohort studies demonstrated a consistent significant decrease in total alcohol consumption (Australia) and a significant increase in the frequency of alcohol use (United States). A significant decrease in the frequency of HED was observed in Australia and Spain but not in the United States. A significant increase in the proportion of people with problematic alcohol use was observed in the United Kingdom. Initial insights into changes in alcohol use indicate substantial heterogeneity. Alcohol use may have decreased in some countries, while HED and the proportion of people with problematic alcohol use may have increased. The lack of high-quality studies from low- and middle-income countries reflects a dearth of information from countries inhabited by most of the world's population.


Subject(s)
Alcohol-Related Disorders , COVID-19 , Alcohol Drinking/epidemiology , Alcohol-Related Disorders/epidemiology , COVID-19/epidemiology , Cross-Sectional Studies , Humans , Pandemics
5.
Alcohol Alcohol ; 57(2): 190-197, 2022 Mar 12.
Article in English | MEDLINE | ID: covidwho-1356654

ABSTRACT

AIM: To examine whether changes in alcohol consumption in Canada since the start of the novel coronavirus disease (COVID-19) pandemic are associated with feelings of anxiety, depression, loneliness and/or with changes in employment due to COVID-19. METHODS: Data collection occurred between 29 May 2020 and 23 March 2021 via a web panel, AskingCanadians, which sampled 5892 adults (≥18 years of age). Data were collected on changes in alcohol consumption compared to before the pandemic (ordinal variable ranging from 1='much less alcohol' to 5='much more alcohol'), anxiety (General Anxiety Disorder-7), self-perceived depression (Center for Epidemiologic Studies Depression Scale), self-perceived loneliness, changes in employment status due to COVID-19 and socio-demographic variables (age, gender, living situation, household income and urban vs rural residence). Multivariate associations were assessed using ordinal logistic regression. Effect modification by gender was tested using likelihood-ratio tests. RESULTS: Changes in alcohol consumption were positively associated with anxiety, feeling depressed and loneliness. In particular, people with mild to moderate (ordered Odds Ratio (OR):1.23, 95% Confidence Interval (CI):1.07, 1.62) or severe anxiety (ordered OR:1.49, 95% CI:1.15, 1.93) had a greater odds of increased drinking than did people with no to low levels of anxiety. Gender, age, household income, living situation and survey wave were also associated with changes in drinking. No effect modifications by gender were observed. CONCLUSION: Given the health harms caused by alcohol use, public health practitioners and primary care physicians should focus health messaging to identify and support individuals at risk of increased alcohol consumption, especially people experiencing depression, loneliness or anxiety.


Subject(s)
COVID-19 , Pandemics , Adult , Alcohol Drinking/epidemiology , Anxiety/epidemiology , Anxiety Disorders/epidemiology , Canada/epidemiology , Depression/epidemiology , Humans , Loneliness , Self Concept
6.
BMJ Open ; 11(7): e048995, 2021 07 05.
Article in English | MEDLINE | ID: covidwho-1297974

ABSTRACT

INTRODUCTION: Infectious disease models are important tools to inform public health policy decisions. These models are primarily based on an average population approach and often ignore the role of social determinants in predicting the course of a pandemic and the impact of policy interventions. Ignoring social determinants in models may cause or exacerbate inequalities. This limitation has not been previously explored in the context of the current pandemic, where COVID-19 has been found to disproportionately affect marginalised racial, ethnic and socioeconomic groups. Therefore, our primary goal is to identify the extent to which COVID-19 models incorporate the social determinants of health in predicting outcomes of the pandemic. METHODS AND ANALYSIS: We will search MEDLINE, EMBASE, Cochrane Library and Web of Science databases from December 2019 to August 2020. We will assess all infectious disease modelling studies for inclusion of social factors that meet the following criteria: (a) focused on human spread of SARS-CoV-2; (b) modelling studies; (c) interventional or non-interventional studies; and (d) focused on one of the following outcomes: COVID-19-related outcomes (eg, cases, deaths), non-COVID-19-related outcomes (ie, impacts of the pandemic or control policies on other health conditions or health services), or impact of the pandemic or control policies on economic outcomes. Data will only be extracted from models incorporating social factors. We will report the percentage of models that considered social factors, indicate which social factors were considered, and describe how social factors were incorporated into the conceptualisation and implementation of the infectious disease models. The extracted data will also be used to create a narrative synthesis of the results. ETHICS AND DISSEMINATION: Ethics approval is not required as only secondary data will be collected. The results of this systematic review will be disseminated through peer-reviewed publication and conference proceedings. PROSPERO REGISTRATION NUMBER: CRD42020207706.


Subject(s)
COVID-19 , Social Determinants of Health , Humans , Pandemics , SARS-CoV-2 , Systematic Reviews as Topic
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