Intensions Study: Canadian men’s mental health
A new study conducted on behalf of the Canadian Men’s Health Foundation (CMHF) by Intensions Consulting, has found that young men, gay and bisexual, and racialized men are at a significantly higher risk for depression and anxiety.
The study, which surveyed 2,070 Canadian men aged 19 or older, uncovered some concerning trends among specific sub-populations of men:
- The risk of moderate-to-severe depression is significantly higher in men aged 19-29 (43%), racialized men (30%) and gay or bisexual men (28%) compared to the broader male population (18%).
- Moderate-to-high anxiety is significantly higher in men aged 19-29 (57%), gay or bisexual men (45%), and racialized men (42%) compared to the broader male population (30%).
“These statistics cannot be ignored–anxiety and depression are affecting certain populations of men significantly more than others,” says Dr. David Kuhl, a men’s health clinician & researcher. “Calling attention to how pervasive mental health challenges are within these populations is the first step towards changing behaviours. Mental health doesn’t belong to the individual, it belongs to families and communities.”
CMHF is committed to supporting these populations with programs that improve mental health outcomes, including free online resources that connect men and their families to self-assessment tools, virtual counselling, and expert advice. According to Kenton Boston, CMHF President, “the research points to the continued, urgent need for action by all of us to reach out and support young men and those in racialized and 2SLGBTQIA+ communities.”
To learn more about CMHF’s mental health programming, please visit: menshealthfoundation.ca
About this study:
These are the findings of an Intensions Consulting study conducted between March 5, 2024 and March 10, 2024, on behalf of the Canadian Men’s Health Foundation. For this study an online survey was administered in English and in French with a sample of 2,070 Canadian men, aged 19 or older. The sample was stratified to ensure that the sample’s composition reflected the underlying distribution of the Canadian population as determined by Census data. A traditional probability sample of comparable size would have produced results considered accurate to within plus or minus 2.2 percentage points, 19 times out of 20.