The Association of Frequency of Worry About Financial Debt With Substance Use Among Adults in Ontario, Canada.

BACKGROUND: Financial debt and associated stress might increase the risk of substance use problems or exacerbate existing ones. Little evidence is available about the degree of debt stress and its association with substance use. The objective of this study was to examine the associations of the frequency of worry about debt with heavy episodic drinking (HED), daily smoking, e-cigarette use, and cannabis use in the past 30 days. METHODS: Data were utilized from the 2020/2022 Monitor study, a repeated cross-sectional survey of adults 18 years and older in Ontario, Canada. The surveys employed a web-based panel survey of 6038 adults and collected data on debt-related stress, HED, tobacco smoking, e-cigarettes, and cannabis use in the past 30 days. Odds ratios (OR) were estimated from logistic regression models accounting for sociodemographic factors. RESULTS: Overall, 18.4% of respondents reported that they were worried about their debt most or all of the time. Accounting for household income, educational status, employment status, and other factors, the results revealed that there was a dose-response relationship between the frequency of worry about debt and substance use including daily smoking, e-cigarette use, and cannabis use in the past 30 days compared to those who were not worried at all about their debt. Sex differences were also found in the association between worry about debt and e-cigarette use. CONCLUSIONS: The frequency of worry about debt might have an important role in substance use, which suggests that financial well-being is vital in substance use prevention and harm reduction.

Cannabis legalization and driving under the influence of cannabis and driving under the influence of alcohol among adult and adolescent drivers in Ontario, Canada (2001-2019).

BACKGROUND: The impacts of cannabis legalization on driving under the influence of cannabis and driving under the influence of alcohol among adults and adolescents were examined in Ontario, Canada. METHODS: Data were sourced from adult (N=38,479) and adolescent (N=23,216) populations-based surveys (2001-2019). The associations between cannabis legalization and driving within an hour of using cannabis and driving within an hour of drinking two or more drinks of alcohol were quantified using logistic regression, with testing of multiplicative interactions between cannabis legalization and age and sex. All analyses were conducted separately for adults and adolescents and restricted to participants with a valid driver's license. RESULTS: Cannabis legalization was not associated with driving within an hour of using cannabis among adults (OR, 95% CI: 1.21, 0.69-2.11). However, a multiplicative interaction indicated that there was an increased likelihood of driving within an hour of using cannabis among adults ≥55 years of age (4.23, 1.85-9.71) pre-post cannabis legalization. Cannabis legalization was not associated with driving within an hour of using cannabis among adolescents (0.92, 0.72-1.16), or with driving within an hour of consuming two or more drinks of alcohol among adults (0.78, 0.51-1.20) or adolescents (0.87, 0.42-1.82). CONCLUSIONS: An increased likelihood of driving under the influence of cannabis among adults ≥55 years of age was detected in the year following cannabis legalization, suggesting the need for greater public awareness and education and police monitoring and enforcement concerning driving under the influence of cannabis, particularly among older adults.

Factors associated with stress about returning to pre-pandemic routines among Canadians.

The COVID-19 pandemic continues to be a public health concern, with important impacts on individuals' mental health. Many people have experienced significant changes to their daily routines due to the pandemic and for some, returning to pre-pandemic routines could create elevated stress. The present study explored factors associated with stress about returning to pre-pandemic routines (SRPR). A web-based, cross-sectional survey of 1,001 Canadian adults aged 18 years and older was conducted on July 9-13, 2021. SRPR was assessed by asking the respondents how much stress they have been feeling about returning to their pre-pandemic routines. Sociodemographic variables, anxiety, depression, loneliness, and COVID-19-related worry were examined in relation to SRPR. Overall, 28.8% of respondents reported moderate to extreme SRPR. After adjusting for covariates, factors associated with elevated SRPR included: younger age (AOR = 2.29, 95%CI 1.30-4.03), higher education (AOR = 2.08, 95%CI 1.14-3.79), being very worried about getting COVID-19 (AOR = 4.14, 95%CI 2.46-6.95), switching to working from home (AOR = 2.43, 95%CI 1.44-4.11), having anxiety (AOR = 5.02, 95%CI 3.19-7.89), feeling depressed (AOR = 1.93, 95%CI 1.14-3.25), and feeling lonely (AOR = 1.74, 95%CI 1.07-2.83). The findings of this study suggest that individuals experiencing mental health concerns (anxiety, feeling depressed, feeling lonely) may be especially likely to feel elevated SRPR and may therefore need additional support in making the transition back to prior routines.

Effects of cannabis legalisation on patterns of cannabis consumption among adolescents in Ontario, Canada (2001-2019).

INTRODUCTION: Cannabis legalisation was enacted on 17 October 2018 in Canada. Accordingly, the effects of cannabis legalisation on patterns of cannabis consumption were examined among adolescents, including on cannabis initiation, any cannabis use, daily cannabis use and cannabis dependence. METHODS: Data from a biennial population-based, cross-sectional survey of students in Ontario were pooled in a pre-post design (2001-2019; N = 89,238). Participants provided self-reports of cannabis initiation, any cannabis use, daily cannabis use and cannabis dependence. Long-term trends in these patterns of cannabis consumption over two decades of observation were characterised to provide a broader context of usage. The effects of cannabis legalisation on patterns of cannabis consumption were quantified using logistic regression analyses. RESULTS: Long-term trends over the two decades of observation indicated that cannabis initiation decreased and then increased (p = 0.0220), any cannabis use decreased and daily cannabis use decreased (p < 0.0001 and p = 0.0001, respectively) and cannabis dependence remained unchanged (p = 0.1187). However, in comparisons between the pre-cannabis legalisation period (2001-2017) and the post-cannabis legalisation period (2019), cannabis legalisation was not associated with cannabis initiation (odds ratio; 95% confidence interval 1.00; 0.79-1.27), but it was associated with an increased likelihood of any cannabis use (1.31; 1.12-1.53), daily cannabis use (1.40; 1.09-1.80) and cannabis dependence (1.98; 1.29-3.04). DISCUSSION AND CONCLUSIONS: Cannabis legalisation was not associated with cannabis initiation, but it was associated with an increased likelihood of any cannabis use, daily cannabis use and cannabis dependence.

Age, period and cohort effects on time trends in monthly cannabis use in adult population: 1996-2019.

INTRODUCTION: With changes in norms related to cannabis use and in the regulation of cannabis, understanding trends in cannabis use is important, especially differentiating between trends that affect cohorts of all ages similarly, versus trends that disproportionately affect a younger generation. The present study examined the age-period-cohort (APC) effects on monthly cannabis use among adults in Ontario, Canada over a 24-year period. METHODS: Data were utilised from the Centre for Addiction and Mental Health Monitor Survey, an annual repeated cross-sectional survey of adults 18 years of age and older. The present analyses focused on the 1996 to 2019 surveys, which employed a regionally stratified sampling design using computer-assisted telephone interviews (N = 60,171). Monthly use of cannabis stratified by sex were examined. RESULTS: There was about a five-fold increase in monthly cannabis use from 1996 (3.1%) to 2019 (16.6%). The youngest adults use cannabis monthly more, but the patterns of monthly cannabis use appeared to be increasing among older adults. Adults born in the 1950s had higher prevalence of cannabis use (1.25 times more likely to use) compared to those born in 1964, with strongest period effect in 2019. The subgroup analysis of monthly cannabis use by sex showed little variation in APC effects. DISCUSSION AND CONCLUSIONS: There is a change in patterns of cannabis use among older adults and inclusion of birth cohort dimension improves the explanation of cannabis use trends. Adults in the 1950s birth cohort and increases in the normalisation of cannabis use could also be the key to explaining increasing monthly cannabis use.

Cannabis legalization and cannabis use, daily cannabis use and cannabis-related problems among adults in Ontario, Canada (2001-2019).

BACKGROUND: In the context of cannabis legalization in Canada, we examined the effects on cannabis patterns of consumption, including cannabis use, daily cannabis use and cannabis-related problems. In addition, we examined differential effects of cannabis legalization by age and sex. METHODS: A pre-post design was operationalized by combining 19 iterations of the Centre for Addiction and Mental Health (CAMH) Monitor Surveys (N = 52,260; 2001-2019): repeated, population-based, cross-sectional surveys of adults in Ontario. Participants provided self-reports of cannabis use (past 12 months), daily cannabis use (past 12 months) and cannabis-related problems though telephone interviews. The effects of cannabis legalization on cannabis patterns of consumption were examined using logistic regression analyses, with testing of two-way interactions to determine differential effects by age and sex. RESULTS: Cannabis use prevalence increased from 11 % to 26 % (p < 0.0001), daily cannabis use prevalence increased from 1 % to 6 % (p < 0.0001) and cannabis-related problems prevalence increased from 6 % to 14 % (p < 0.0001) between 2001 and 2019. Cannabis legalization was associated with an increased likelihood of cannabis use (OR, 95 % CI: 1.62, 1.40-1.86), daily cannabis use (1.59, 1.21-2.07) and cannabis-related problems (1.53, 1.20-1.95). For cannabis-related problems, a significant two-way interaction was observed between cannabis legalization and age (p = 0.0001), suggesting differential effects among adults ≥55 years. CONCLUSIONS: Cannabis legalization was associated with an increased likelihood of cannabis use, daily cannabis use and cannabis-related problems. Given increases in these cannabis patterns of consumption, broader dissemination and uptake of targeted prevention tools is indicated.

Changes in household debt due to COVID-19 and mental health concerns among adults in Ontario, Canada.

BACKGROUND: Canadian households experienced unexpected changes in their economic well-being during the COVID-19 pandemic. The extent of the impact of the pandemic on household debt and its effect on health and mental health remains unknown. AIM: The aim of the study was to examine the associations of change in household debt due to COVID-19 with serious psychological distress (SPD) and general health measures. METHODS: Data were from the 2020 Monitor study, a repeated cross-sectional survey of adults 18 years and older in Ontario, Canada. The 2020 cycle employed a web-based panel survey of 3,033 adults. The survey included measures of change in household debt due to the COVID-19 pandemic, mental and general health. Odds ratios (OR) were estimated from logistic regression models accounting for sociodemographic factors. RESULTS: Overall, 17.5% of respondents reported that their household debt increased due to the COVID-19 pandemic. Such an increase in household debt was significantly associated with SPD (OR = 2.92, 95% CI, 2.05-4.16), fair/poor mental health (OR = 2.02, 95% CI, 1.59-2.56), frequent mental distress days (OR = 1.80, 95% CI, 1.31-2.48), fair/poor general health (OR = 1.93, 95% CI, 1.47-2.52), and suicidal ideation (OR = 3.71, 95% CI, 2.41-5.70) after adjusting for potential confounders including education, income and employment. CONCLUSIONS: Household debt during the COVID-19 pandemic is an important determinant of health. Individuals who reported an increase in household debt due to COVID-19 were more likely to report serious mental health concerns including suicidal ideation. This suggests that debt-related interventions may be needed to alleviate the adverse effects of indebtedness on health.

Household composition and anxiety symptoms during the COVID-19 pandemic: A population-based study.

INTRODUCTION: Household composition may be an important factor associated with anxiety during the COVID-19 pandemic as people spend more time at home due to physical distancing and lockdown restrictions. Adults living with children-especially women-may be particularly vulnerable to anxiety as they balance additional childcare responsibilities and homeschooling with work. The objective of this study was to examine the association between household composition and anxiety symptoms during the COVID-19 pandemic and explore gender as an effect modifier. METHODS: Data were derived from seven waves of a national online survey of Canadian adults aged 18+ years from May 2020 to March 2021, which used quota sampling by age, gender, and region proportional to the English-speaking Canadian population (n = 7,021). Multivariable logistic and modified least-squares regression models were used. RESULTS: Compared to those living alone, significantly greater odds of anxiety symptoms were observed among single parents/guardians (aOR = 2.00; 95%CI: 1.41-2.84), those living with adult(s) and child(ren) (aOR = 1.39; 95%CI: 1.10-1.76), and those living with adult(s) only (aOR = 1.22; 95%CI: 1.00-1.49). Gender was a significant effect modifier on the additive scale (p = 0.0487) such that the association between living with child(ren) and anxiety symptoms was stronger among men than women. CONCLUSION: Additional tailored supports are needed to address anxiety among adults living with children-especially men-during the COVID-19 pandemic and future infectious disease events.

Exploring the Association of e-Cigarette and/or Cannabis Use with Heavy Episodic Drinking among Ontario Adults.

Background: The use of electronic cigarettes and cannabis has significantly increased in recent years, which raises public health concerns. There are also concerns about the association of these substances with drinking behaviors. The main objective of the present study is to examine the association of e-cigarettes and/or cannabis use with heavy episodic drinking (HED) among Ontario adults. Methods: The sample consisted of 5,564 adults from the Monitor Survey in 2018 and 2019. Cannabis and e-cigarette use reflected any use of the substances in the past 12 months. HED was defined as consumption of four/five or more drinks on a single occasion at least monthly in the past 12 months. Odds ratios (OR) were estimated from logistic regression models accounting for complex survey design and sociodemographic factors. Results: Overall, the prevalence of HED was 17.5% in 2018 and 2019. Among participants who reported both e-cigarette and cannabis use, about one-half (50.4%) reported HED at least monthly. Adjusting for covariates, the odds of HED were 5.71 (95%CI, 3.92-8.30) times higher among those who reported both e-cigarette and cannabis use compared to those who used neither substance. Conclusions: The use of e-cigarettes and cannabis are significantly associated with heavy episodic drinking among adults, indicating that those who engage in the dual use of e-cigarette and cannabis may be an important group to target with intervention programs.

Age differences in the association between loneliness and anxiety symptoms during the COVID-19 pandemic.

Loneliness and associated mental health problems are of particular concern during the COVID-19 pandemic due to physical distancing and lockdown restrictions. Loneliness is most common among young adults and women during the pandemic, but it is unclear if the association between loneliness and mental health problems, notably anxiety, is strongest in these groups. The objective of this study was to examine whether the association between loneliness and anxiety differed by age and/or gender during the pandemic. We analyzed data from a multi-wave national online survey of Canadians aged 18+ years from May 2020 to March 2021 (n = 7,021). Multivariable modified least-squares regression was used to examine whether the association between loneliness and moderate to severe anxiety symptoms (GAD-7 10+) differed by age and/or gender on the additive scale, controlling for socio-demographic factors, depression, hopefulness, and survey wave. Age significantly moderated the association between loneliness and anxiety symptoms while gender did not. Loneliness was associated with anxiety symptoms for all age groups, but the association was not as strong among those aged 70+ years compared to other age groups. Evidence-based loneliness interventions that target younger adults are needed to mitigate the mental health effects of infectious disease events such as COVID-19.

Daily cannabis use during the novel coronavirus disease (COVID-19) pandemic in Canada: a repeated cross-sectional study from May 2020 to December 2020.

BACKGROUND: Daily cannabis use is most strongly implicated in the cannabis-attributable burden of disease. In the context of the novel coronavirus disease (COVID-19) pandemic in Canada, we characterized trends in daily cannabis use in the overall sample and various population subgroups, and examined risk characteristics associated with daily cannabis use. METHODS: A cross-sectional design was operationalized using data from six waves of a national, online survey of adults residing in Canada who spoke English (N = 6,021; May-08 2020 to December-01 2020). Trends were characterized using the Cochran-Armitage test and risk characteristics were identified using chi-square test and logistic regression analysis. RESULTS: Daily cannabis use in the overall sample remained stable (5.34% - 6.10%; p = 0.30). This pattern of findings extended to various population subgroups as well. The odds of daily cannabis use were higher for those who: were males (Odds Ratio; 95% Confidence Interval: 1.46; 1.15 - 1.85), were between 18 - 29 years (2.36; 1.56 - 3.57), 30 - 39 years (2.65; 1.93 - 3.64) or 40-49 years (1.74; 1.19 - 2.54), self-identified as white (1.97; 1.47 - 2.64), had less than college or university completion (1.78; 1.39 - 2.28), engaged in heavy episodic drinking (2.05; 1.62 - 2.61), had a job that increased the risk of contracting COVID-19 (1.38; 1.01 - 1.88), experienced loneliness 5-7 days in the past week (1.86; 1.26 - 2.73) and felt very worried (2.08; 1.21 - 3.58) or somewhat worried (1.83; 1.11 - 3.01) about the pandemic's impact on their financial situation. CONCLUSIONS: Daily cannabis use did not change in the overall sample or various population subgroups during the pandemic. Pandemic-related risks and impacts were associated with daily cannabis use.

Changes in Alcohol Consumption in Canada During the COVID-19 Pandemic: Associations With Anxiety and Self-Perception of Depression and Loneliness.

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.

Associations of cannabis use, opioid use, and their combination with serious psychological distress among Ontario adults.

Considering the widespread use of cannabis and opioids, examining the use of cannabis, opioids and their combination with serious psychological distress (SPD) is important. A total of N = 12,358 adults participating in the Monitor surveillance study between 2014 and 2019 were included. Cannabis and opioid use reflected any use of the substances in the past 12 months. SPD was defined as having a score of 13 or more on the Kessler-6 questionnaire, a 6-item scale that includes feeling nervous, hopeless, restless or fidgety, sad or depressed. Odds ratios (ORs) were estimated from logistic regression models accounting for complex survey design and sociodemographic factors. Overall, 12.8% of the sample reported cannabis use only, 18% reported opioid use only, and 4.9% reported both cannabis and opioid use. Use of both cannabis and opioids was significantly associated with SPD in both women (OR = 4.24; 95% CI, 2.34 to 7.69), and in men (OR = 2.99; 95% CI, 1.56 to 5.73) compared to use of neither. The joint association of cannabis and opioids with SPD was additive. Addressing those who use both cannabis and opioids may help reduce the burden of SPD among adults in Ontario.

The association between COVID-19 diagnosis or having symptoms and anxiety among Canadians: A repeated cross-sectional study.

BACKGROUND: The mental health effects of being diagnosed with COVID-19 are unknown. The present study examined whether individuals or those with someone close to them with a COVID-19 diagnosis differentially experienced anxiety during the pandemic. METHODS: Four web-based repeated cross-sectional surveys were conducted among Canadians aged 18 and older (n = 4015) regarding the impact of COVID-19 on mental health between May 8th and July 14th, 2020. Data on sociodemographic, COVID-19 symptoms/diagnoses for self or someone close, and anxiety were collected. Multiple logistic regression analyses were performed controlling for potential confounders. RESULTS: Anxiety among individuals affected by the pandemic remained stable over time. Individuals or those with someone close diagnosed with COVID-19 had greater odds of having anxiety (OR = 1.55; 95%CI 1.12, 2.14) compared to those who had not been diagnosed (self or close other) with COVID-19. Individuals or those with someone close to them who had symptoms of COVID-19 had greater odds of having anxiety (OR = 2.08; 95%CI 1.51, 2.87) compared to those who did not report symptoms (self or close other). CONCLUSIONS: This evidence highlights the importance of targeted psychosocial interventions for those directly impacted by the COVID-19 virus.

Household- and employment-related risk factors for depressive symptoms during the COVID-19 pandemic.

OBJECTIVES: The COVID-19 pandemic has generated multiple psychological stressors, which may increase the prevalence of depressive symptoms. Utilizing Canadian survey data, this study assessed household- and employment-related risk factors for depressive symptoms during the pandemic. METHODS: A sample of 1005 English-speaking Canadian adults aged 18+ years completed a web-based survey after physical distancing measures were implemented across Canada. Hierarchical binary logistic regression analyses were conducted to examine the associations of depressive symptoms with household- (household size, presence of children, residence locale) and employment-related (job with high risk of COVID-19 exposure, working from home, laid off/not working, financial worry) risk factors, controlling for demographic factors (gender, age, education, income). RESULTS: About 20.4% of the sample reported depressive symptoms at least 3 days per week. The odds of experiencing depressive symptoms 3+ days in the past week were higher among women (AOR = 1.67, p = 0.002) and younger adults (18-29 years AOR = 2.62, p < 0.001). After adjusting for demographic variables, the odds of experiencing depressive symptoms were higher in households with 4+ persons (AOR = 1.88, p = 0.01), in households with children aged 6 to 12 years (AOR = 1.98, p = 0.02), among those with a job at high risk for exposure to COVID-19 (AOR = 1.82, p = 0.01), and those experiencing financial worry due to COVID-19 ('very worried' AOR = 8.00, p < 0.001). CONCLUSION: Pandemic responses must include resources for mental health interventions. Additionally, further research is needed to track mental health trajectories and inform the development, targeting, and implementation of appropriate mental health prevention and treatment interventions.

RéSUMé: OBJECTIF: La pandémie de COVID-19 a engendré de multiples facteurs de stress psychologique qui peuvent faire augmenter la prévalence des symptômes de dépression. Cette étude se fonde sur les résultats de sondages auprès de Canadien.ne.s pour évaluer les facteurs de risque liés à l'emploi et dans les ménages qui prédisposent aux symptômes de dépression pendant la pandémie. MéTHODE: Un échantillon de 1 005 Canadien.ne.s anglophones âgé.e.s de 18 ans ou plus ont rempli un sondage en ligne après l'imposition des mesures de distanciation physique partout au Canada. Une analyse de régression logistique binaire de type hiérarchique a permis d'établir les liens entre les symptômes de dépression et certains facteurs de risque dans les ménages (nombre de membres, présence d'enfants, localité de la résidence) ainsi que des facteurs de risque liés à l'emploi (emploi comportant un risque élevé d'exposition à la COVID-19, télétravail, mise à pied ou chômage, soucis financiers), après un contrôle des facteurs démographiques (sexe, âge, niveau d'éducation, revenu). RéSULTATS: Environ 20,4 % des répondant.e.s ont dit avoir eu des symptômes de dépression au moins trois jours par semaine. La probabilité d'avoir des symptômes de dépression trois jours ou plus au cours de la semaine écoulée est plus élevée pour les femmes (rapport de cotes ajusté, ou RCA = 1,67, p = 0,002) et les jeunes adultes (18 à 29 ans, RCA = 2,62, p < 0,001). Après réajustement des variables démographiques, cette probabilité est plus élevée pour les ménages de quatre personnes ou plus (RCA = 1,88, p = 0,01) et ceux ayant des enfants de 6 à 12 ans (RCA = 1,98, p = 0,02), ainsi que pour les personnes dont l'emploi comporte un risque élevé d'exposition à la COVID-19 (RCA = 1,82, p = 0,01), et celles éprouvant des soucis financiers à cause de la COVID-19 (« très inquiet ¼, RCA = 8,00, p < 0,001). CONCLUSION: Les ressources d'intervention en santé mentale doivent faire partie des mesures de lutte contre la pandémie. De plus, des recherches approfondies s'imposent afin de suivre l'évolution de la santé mentale des Canadien.ne.s et de guider l'élaboration, le ciblage et la mise en œuvre de mesures appropriées de prévention et de traitement des problèmes de santé mentale.

Loneliness in the COVID-19 pandemic: Associations with age, gender and their interaction.

Loneliness is associated with mental health and thus is of particular concern in the COVID-19 pandemic, due to physical distancing restrictions and shelter-in-place orders. The current study assessed the associations of age, gender and their interaction with loneliness during the COVID-19 pandemic, controlling for other sociodemographic variables. A pooled sample of 3,012 English-speaking Canadian adults aged 18+ years completed a web-based survey in one of three waves between May 8 and June 23, 2020. Multivariable logistic regression was used to examine the associations of loneliness with age and gender controlling for marital status, household income, education, living alone, employment situation, and survey wave. A likelihood ratio test assessed the model with interaction between age and gender included. Approximately 8.4% of the sample reported feeling lonely 5+ days in the past week. The regression model with main effects found greater odds of loneliness among women than men (AOR = 1.76, 95%CI = 1.32, 2.34) and among all age groups younger than 60 years compared to those aged 60+ years (p = 0.002). In the final regression model, a significant interaction effect between age and gender on loneliness was found. The interaction showed that women had greater odds of loneliness than men among those aged 18-29 years (AOR = 3.53, 95%CI = 1.69, 7.37) and 60+ years (AOR = 2.62, 95%CI = 1.33, 5.17). Special consideration of loneliness among younger and older adult women is needed in service planning. Given inconsistencies with pre-pandemic studies, detailed data collected during the current crisis is essential to inform proactive resource allocation to prevent and treat mental health consequences of the pandemic.

Cannabis Use During the COVID-19 Pandemic in Canada: A Repeated Cross-sectional Study.

OBJECTIVES: In the context of the ongoing coronavirus disease pandemic in Canada, we aimed to (1) characterize trends in cannabis use in the overall population; and (2) characterize patterns of and identify risk characteristics associated with an increase in cannabis use among those who used cannabis. METHODS: Data were obtained from three waves of an online, repeated cross-sectional survey of adults residing in Canada (May 08-June 23, 2020; N = 3012). Trends were assessed using Cochran-Armitage and chi-square tests, and risk characteristics were identified using logistic regression analyses. RESULTS: Cannabis use in the overall population remained stable during the months of May and June. Among those who used cannabis, about half increased their cannabis use compared to before the start of the pandemic. This proportion of an increase in cannabis use among those who used cannabis remained consistent across the survey waves. Risk characteristics associated with higher odds of an increase in cannabis use included residence in the central region (Odds ratio, 95% confidence intervals: 1.93, 1.03-3.62), being 18 to 29 years old (2.61, 1.32-5.17) or 30 to 49 years old (1.85, 1.07-3.19), having less than college or university education (1.86, 1.13-3.06) and being somewhat worried about the pandemic's impact on personal finances (1.73, 1.00-3.00). CONCLUSIONS: A large proportion of those who used cannabis have increased cannabis use during the pandemic, suggesting a need for interventions to limit increased cannabis use, policy measures to address cannabis-attributable harms, and continued monitoring of cannabis use during and after the pandemic.

External validation of the International Risk Prediction Algorithm for the onset of generalized anxiety and/or panic syndromes (The Predict A) in the US general population.

INTRODUCTION: Multivariable risk prediction algorithms are useful for making clinical decisions and health planning. While prediction algorithms for new onset of anxiety disorders in Europe and elsewhere have been developed, the performance of these algorithms in the Americas is not known. The objective of this study was to validate the PredictA algorithm for new onset of anxiety and/or panic disorders in the US general population. METHODS: Longitudinal study design was conducted with approximate 2-year follow-up data from a total of 24 626 individuals who participated in Wave 1 and 2 of the US National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) and who did not have generalized anxiety disorder (GAD) and panic disorder in the past year at Wave 1. The PredictA algorithm was directly applied to the selected participants. RESULTS: Among the participants, 5.4% developed GAD and/or panic disorder over two years. The PredictA algorithm had a discriminative power (C-statistics = 0.62, 95%CI: 0.61; 0.64), but poor calibration (p < 0.001) with the NESARC data. The observed and the mean predicted risk of GAD and/or panic disorders in the NESARC were 5.3% and 3.6%, respectively. Particularly, the observed and predicted risks of GAD and/or panic disorders in the highest decile of risk score in the NESARC participants were 13.3% and 10.4%, respectively. CONCLUSION: The PredictA algorithm has acceptable discrimination, but the calibration with the NESARC data was poor. The PredictA algorithm is likely to underestimate the risk of GAD/panic disorders in the US population. Therefore, the use of PredictA in the US general population for predicting individual risk of GAD and/or panic disorders is not encouraged.

Relationship between major depressive disorder, generalized anxiety disorder and coronary artery disease in the US general population.

OBJECTIVE: To evaluate whether the changes and persistence of major depressive disorder (MDD) and generalized anxiety disorder (GAD) affect the risk of incident coronary artery disease (CAD) in the US general population. METHODS: Data was retrieved from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) conducted in 2001/2002 (Wave 1) and 2004/2005 (Wave 2). At both Wave 1 and one year before Wave 2, MDD and GAD were measured using the Alcohol Use Disorders and Associated Disabilities Interview Schedule IV. CAD was considered present at Wave 1 or Wave 2 based on the participants' self-reported physician diagnosis. Relationship between MDD, GAD and CAD was examined using generalized linear regression model. RESULTS: The study included 32,345 participants without CAD at Wave 1, with 3.3% developing CAD at Wave 2. After adjustment, persistence of MDD/GAD and GAD predicted highest risk of developing CAD respectively (MDD/GAD: RR = 2.01, 95% CI: 1.54-2.64; GAD: RR = 2.09, 95% CI: 1.22-3.58), while positive changes predicted lowest risk (MDD/GAD: RR = 1.43, 95% CI: 1.15-1.78; GAD: RR = 1.68, 95% CI: 1.21-2.33). Negative change of MDD is associated with highest risk of developing CAD (RR = 2.07, 95% CI: 1.69-2.54), while positive changes predicted lowest risk (RR = 1.38, 95% CI: 1.11-1.73). CONCLUSIONS: Existence of MDD/GAD, MDD, or GAD increase the risk of new-onset CAD. Positive change in MDD and GAD is associated with reduced risk of incident CAD, which highlights the importance of treating MDD and GAD in preventing the development of CAD.