Hayley A. Hamilton’s research while affiliated with Ontario Shores Centre For Mental Health Sciences and other places

Background Biological sample collection and data linkage can expand the utility of population health surveys. The present study investigates factors associated with population health survey respondents’ willingness to provide biological samples and personal health information. Methods Using data from the 2019 Centre for Addiction and Mental Health (CAMH) Monitor survey (n = 2,827), we examined participants’ willingness to provide blood samples, saliva samples, probabilistic linkage, and direct linkage with personal health information. Associations of willingness to provide such information with socio-demographic, substance use, and mental health details were also examined. Question order effects were tested using a randomized trial. Results The proportion of respondents willing to provide blood samples, saliva samples, probabilistic linkage, and direct linkage with personal health information were 19.9%, 36.2%, 82.1%, and 17%, respectively. Willingness significantly varied by age, race, employment, non-medical prescription opioid use (past year), cocaine use (lifetime), and psychological distress. Significant question order effects were observed. Respondents were more likely to be willing to provide a saliva sample when this question was asked first compared to first being asked for direct data linkage. Similarly, respondents were more likely to be willing to allow for probabilistic data linkage when this question was asked first compared to first being asked for a saliva sample. Conclusion A lack of willingness to provide biological samples or permit data linkage may lead to representivity issues in studies which rely on such information. The presence of question order effects suggests that the willingness of respondents can be increased through strategic ordering of survey structures.

Background: Limited evidence exists regarding how sex differences in mental health are changing over time, especially in the context of recent health and economic adversities. Aims: To examine the temporal shifts in mental health issues among males and females, and explore the influence of education and loneliness on these trends. Methods: Data were utilized from the 2020 to 2023 Monitor study, a repeated cross-sectional survey of adults 18 years and older in Ontario, Canada. The study employed a Qualtrics-based web panel survey (n = 5,317). Mental health was assessed using Kessler-6 questionnaire, and analyses were performed using Generalized Linear Model (GLM) with gamma distribution. Results: The results showed that there was a significant three-way interaction effect between sex, time and education with psychological distress (p = 0.014), suggesting that psychological distress increased between 2020 and 2023 among males who had less than college education. However, it remained stable among males with college/university degrees and females overall. Interaction between sex and feeling lonely on psychological distress was also evident (p = 0.004). Conclusions: Mental health issues remained a significant public health challenge among adults, especially psychological distress increasing among males with less than a college education. This underscores the importance of targeted interventions addressing males' mental health.

Background Understanding the factors contributing to mental well-being in youth is a public health priority. Self-reported enthusiasm for the future may be a useful indicator of well-being and has been shown to forecast social and educational success. Typically, cross-domain measures of ecological and health-related factors with relevance to public policy and programming are analyzed either in isolation or in targeted models assessing bivariate interactions. Here, we capitalize on a large provincial data set and machine learning to identify the sociodemographic, experiential, behavioral, and other health-related factors most strongly associated with levels of subjective enthusiasm for the future in a large sample of elementary and secondary school students. Objective The aim of this study was to identify the sociodemographic, experiential, behavioral, and other health-related factors associated with enthusiasm for the future in elementary and secondary school students using machine learning. Methods We analyzed data from 13,661 participants in the 2019 Ontario Student Drug Use and Health Survey (OSDUHS) (grades 7-12) with complete data for our primary outcome: self-reported levels of enthusiasm for the future. We used 50 variables as model predictors, including demographics, perception of school experience (i.e., school connectedness and academic performance), physical activity and quantity of sleep, substance use, and physical and mental health indicators. Models were built using a nonlinear decision tree–based machine learning algorithm called extreme gradient boosting to classify students as indicating either high or low levels of enthusiasm. Shapley additive explanations (SHAP) values were used to interpret the generated models, providing a ranking of feature importance and revealing any nonlinear or interactive effects of the input variables. Results The top 3 contributors to higher self-rated enthusiasm for the future were higher self-rated physical health (SHAP value=0.62), feeling that one is able to discuss problems or feelings with their parents (SHAP value=0.49), and school belonging (SHAP value=0.32). Additionally, subjective social status at school was a top feature and showed nonlinear effects, with benefits to predicted enthusiasm present in the mid-to-high range of values. Conclusions Using machine learning, we identified key factors related to self-reported enthusiasm for the future in a large sample of young students: perceived physical health, subjective school social status and connectedness, and quality of relationship with parents. A focus on perceptions of physical health and school connectedness should be considered central to improving the well-being of youth at the population level.

Background Resilience has gained considerable attention in the mental health field as a protective factor that enables individuals to overcome mental health issues and achieve positive outcomes. A better understanding of resilience among Black youth is important for supporting the strengths and capacities within this population. This study seeks to investigate the correlates of resilience among Black youths in Canada. Methods The survey was conducted online through REDCap between November 2022 and March 2023. The Brief Resilience Scale (BRS) was utilized to measure the capacity of participants to recover from or bounce back from stress. The BRS comprises six five-point Likert scale items. Data were analyzed employing a bivariate analysis followed by a multivariable binary logistic regression. Results A total of 933 Black youths participated in the study across all Canadian provinces, of which 51.8% (483) identified as female and 46.7% (436) as male. Most respondents 51.3% (479) were between the ages of 16 and 20 years, with 28% (261) between the ages of 21 and 25 years, and 20.2% (188) between the ages of 26 and 30 years. In terms of employment, 62.0% (578) were working part-time, 23.7%, (220) were unemployed, and 9.8% (91) were working full-time. Over a third of participants (39.3%, 331) rated their mental health over the last month as good, with 34% (317) giving a rating of poor and 20.9% (195) giving a rating of fair. Black youths who were working part-time had four times greater odds of expressing low resilience (OR: 4.02; 95% CI: 1.82–11.29) than those who were not working. Black youth who ranked their mental health as poor were about nine times (OR: 8.65; 95% CI: 1.826–21.978) more likely to express low resilience. Conclusion In this study, the Black youth participants reported relatively low resilience scores. Employment, physical health, and mental health status were factors that contributed to low resilience. Further studies are needed to examine the causal link between resilience and its dynamic effect on health outcomes among Black youth. More interventions are needed to make mental health services accessible to Black youth in a more culturally sensitive way with cross-culturally trained professionals.

Background: Despite an increase in the varieties of cannabis products available for consumption, limited evidence is available about the patterns of cannabis consumption methods before and after legalization.Objectives: To examine the changes in modes of cannabis use and their correlates among adults in Ontario, Canada both prior to and following cannabis legalization in 2018.Methods: Data were utilized from the 2017 to 2022 Centre for Addiction and Mental Health's (CAMH) Monitor study, a repeated cross-sectional survey of adults 18 years of age and older (n = 2,665; 56% male). The surveys employed a regionally stratified sampling design using computer-assisted telephone interviews and web surveys. Multinomial regression was performed to examine different modes of cannabis use.Results: The exclusive use of cannabis through ingestion methods increased from 4.0% in 2017 to 16.6% in 2022 (p < .001). However, the exclusive use of inhalation-based cannabis decreased from 49.4% in 2017 to 25.5% in 2022 (p < .001). Relative to inhalation-based modes, adults were about five times more likely to use ingestion-based modes in 2020 [RRR = 4.65 (2.94-7.35)] and 2022 [RRR = 4.75 (2.99-7.55)] than in 2019, after accounting for sociodemographic factors.Conclusions: Ingestion-based cannabis use among adults increased fourfold between 2017 and 2022, a period during which recreational cannabis use was legalized in Canada. The increase was especially evident after the legalization of cannabis edibles.

With the increase in technology use by youth in recent decades, there is a need to examine how the overuse of technology influences youth mental health and wellbeing. The purpose of this study was to examine the association between problem technology use and psychological distress in a representative sample of adolescents residing in Ontario, Canada. Self-reported data were obtained from a cross-sectional sample of 4846 students in grades 9 to 12 (mean age, 15.9 ± 1.3 years) who participated in the 2019 Ontario Student Drug Use and Health Survey. Problem technology use was measured using the 6-item Short Problem Internet Use Test, and psychological distress was assessed using the Kessler 6-item Psychological Distress Scale. Logistic regression models were adjusted for age, ethnoracial background, subjective socioeconomic status, tobacco cigarette smoking, alcohol consumption, and cannabis use. We found that 35.8% of students used technology for more than 5 hours per day, and 18.7% of students were identified as having symptoms in line with moderate-to-serious problem technology use, although symptoms were more common in females than males (22.5% vs. 14.9%, respectively). Moderate-to-serious problem technology use was associated with serious psychological distress among both males (OR = 4.57, 95% CI = 3.27–6.38) and females (OR = 2.89, 95% CI = 2.23–3.75) in adjusted models. Findings from this study show that problem technology use is strongly associated with psychological distress in adolescents, with stronger associations in males than females. Appropriate intervention strategies are needed to mitigate the adverse effects of technology use among secondary school students.

Background: The mental health of Black youth during the COVID-19 pandemic is potentially influenced by various systemic factors, including racism, socioeconomic disparities, and access to culturally sensitive mental health support. Understanding these influences is essential for developing effective interventions to mitigate mental health disparities. Methods: Our project used a community-based participatory (CBP) research design with an intersectional theoretical perspective. An advisory committee consisting of fourteen Black youth supported all aspects of our project. The research team consisted of experienced Black researchers who also trained six Black youths as research assistants and co-researchers. The co-researchers conducted individual interviews, contributed to data analysis, and mobilized knowledge. Participants were recruited through the advisory committee members and networks of Black youth co-researchers and sent an email invitation to Black community organizations. Forty-eight Black identified were interviewed between the ages of 16 and 30 in Canada. The data was analyzed thematically. We kept a reflexive note throughout all aspects of the project. Results: Participants reported significant challenges with online schooling, including a lack of support and access to resources. Lockdowns exacerbated stress, particularly for those living in toxic living/home environments. Financial burdens, such as food insecurity and precarious employment, were prevalent and exacerbated mental health challenges. Additionally, experiences of anti-Black racism and police brutality during the pandemic heightened stress and anxiety among participants. Conclusions: The findings underscore the complex interplay of systemic factors in shaping the mental health of Black youth during the COVID-19 pandemic. Addressing these disparities requires targeted interventions that address structural inequities and provide culturally competent support to mitigate the impact on mental well-being.

Objectives We characterized trends in medical cannabis use; examined characteristics associated with medical cannabis use without medical authorization; and examined the association between recreational cannabis legalization and medical cannabis use in Ontario, Canada. Methods Data were from a repeated, population-based, cross-sectional survey of adults (N = 19,543; 2014–2019). Cannabis use was categorized as either medical cannabis use, recreational cannabis use or no cannabis use. The analytical strategy included jointpoint regression, logistic regression and multinomial logistic regression. Results Medical cannabis use increased from 4 % to 11 % (Annual Percentage Change [APC]: 25 %, 95 % Confidence Interval [CI]: 17 %–33 %) and recreational cannabis use increased from 9 % to 15 % (APC: 9 %, 95 % CI: 3 %-15 %) between 2014 and 2019. Being 18 to 29 years old compared with being 65+ years old was associated with an increased likelihood of medical cannabis use without medical authorization (Odds Ratio [OR]: 4.05, 95 % CI: 2.12–7.72), while being of fair or poor self-perceived health compared with excellent, very good or good self-perceived health (OR: 0.61, 95 % CI: 0.40–0.95) was associated with a decreased likelihood of medical cannabis use without medical authorization. Recreational cannabis legalization was associated with an increased likelihood of medical cannabis use compared with no cannabis use (OR: 1.48, 95 % CI: 1.19–1.85) and of recreational cannabis use compared with no cannabis use (OR: 1.35, 95 % CI: 1.11–1.65). Conclusions Although medical cannabis use increased, it was largely used without medical authorization. Guidance and education that encourages medical usage under clinical supervision is recommended, and mitigation of known barriers to medical cannabis authorization.