The prevalence of mental illness is increasing among post-secondary students. Despite more mental health services being of-fered within post-secondary institutions, uptake among students remains suboptimal. This study aimed to examine facilitators and barriers for students seeking mental health services through service providers’ perspectives. Twenty-four semi-structured interviews were conducted at a southwestern Ontario post-secondary institution and were analyzed using thematic analysis using NVivo. Facilitators revealed include strengthening communication techniques; improving equity, diversity, and inclu-sion; increasing social media promotion; and providing incentives. Barriers identified include fear of judgement, time con-straints, individual perceptions of the need for services, unawareness, and higher-level barriers such as lowered capacity of staff and physical resources. These facilitators and barriers should be used in tandem with the Theory of Planned Behaviour to help improve uptake and effectiveness of campus mental health services.

Introduction: This study aimed to investigate awareness of type 2 diabetes and how sociodemographic factors influence diabetes knowledge in a rural population of Tamil Nadu, India. Previous research has identified poor awareness of diabetes in several low and middle-income countries, which can lead to a high prevalence of undiagnosed diabetes. India having the second highest prevalence of diabetes globally, it is increasingly important to assess how diabetes can be addressed in rural Indian populations.Methods: Systematic random sampling was used to gather study participants in 17 villages within the Krishnagiri district of Tamil Nadu, India. Data on diabetes knowledge was collected using a validated questionnaire. Knowledge score range was 0-8; a score of zero was designated as 'low knowledge', scores 1-4 as 'moderate knowledge', and scores 5-8 as 'good knowledge'. Associations between sociodemographic factors and composite diabetes knowledge score were assessed using a multinomial logistic GLLAMM model in Stata. Results: A total of 753 individuals participated in the study. The average age of participants was 47 years and 55% were women.Overall awareness of diabetes was low, with 66% of individuals having no knowledge of diabetes. Only 16% and 17% achieved a moderate and a good knowledge score, respectively. Achieving a moderate knowledge score was significantly positively associated with education, wealth, participation in the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), and business ownership as a source of income. Achieving a good knowledge score was significantly positively associated with education, wealth, rurality, participation in MGNREGA, business ownership as a source of income, and frequency of healthcare utilization. Rurality was significantly negatively associated (relative risk ratio (95% confidence interval)) with both moderate knowledge score (0.34 (0.19-0.59)), and good knowledge score (0.43 (0.24-0.74)). The strongest predictor of having a good knowledge score was having a high-school graduate or postsecondary education (11.07 (4.44-27.61)). Enrolment in MGNREGA employment was the strongest predictor for having a moderate knowledge score (3.27 (1.93-5.54)), as well as strongly associated with having a good knowledge score (2.39 (1.31-4.36)). Conclusion:The low awareness of diabetes among participants of this study raises serious concerns for public health in India. Public health efforts must prioritize health equity to lessen the impacts of diabetes in rural populations, where individuals face systemic barriers to receiving prevention and treatment for conditions such as diabetes.

Background: This study aimed to investigate the overall awareness of type 2 diabetes as well as how sociodemographic factors influence diabetes knowledge. With India having the second highest prevalence of diabetes globally, it is increasingly important to assess how diabetes can be addressed in rural Indian populations. Methods: Systematic random sampling was used to gather study participants in 17 villages within the Krishnagiri district of Tamil Nadu, India. Associations between sociodemographic factors and composite diabetes knowledge score were assessed using a multinomial logistic gllamm model.Results: A total of 753 individuals participated in the study. Overall knowledge on diabetes was low, with 66% of individuals having no knowledge regarding diabetes. Achieving a moderate knowledge score was significantly positively associated with education, wealth, participation in MGNREGA (Mahatma Gandhi National Rural Employment Guarantee Act), and business ownership as a source of income. Achieving a good knowledge score was significantly positively associated with education, wealth, rurality, participation in MGNREGA, business ownership as a source of income, as well as frequency of healthcare typically received. Rurality was significantly negatively associated [Relative Risk Ratio (95% CI)] with both moderate knowledge score [0.34 (0.19, 0.59)], and good knowledge score [0.43 (0.24, 0.74)]. The strongest predictor of having a good knowledge score was having a high school graduate or post-secondary education [11.07 (4.44, 27.61)]. Enrolment in MGNREGA employment was the strongest predictor for having a moderate knowledge score [3.27 (1.93, 5.54)], as well as strongly associated with having a good knowledge score [2.39 (1.31, 4.36)].Conclusion: The low awareness of diabetes seen in this study raises serious concerns for public health in India. Public health efforts must prioritize health equity to lessen the impacts of diabetes in rural populations, where individuals face systemic barriers to receiving prevention and treatment for conditions such as diabetes.