The COVID-19 pandemic has impacted the mental health, physical activity, and sedentary behavior of people worldwide. According to the Health Belief Model (HBM), health-related behavior is determined by perceived barriers and motivators. Using an online survey with 1669 respondents, we sought to understand why and how physical activity and sedentary behavior has changed by querying about perceived barriers and motivators to physical activity that changed because of the pandemic, and how those changes impacted mental health. The following results were statistically significant at p < .05. Consistent with prior reports, our respondents were less physically active (aerobic activity, -11%; strength-based activity, -30%) and more sedentary (+11%) during the pandemic as compared to 6-months before. The pandemic also increased psychological stress (+22%) and brought on moderate symptoms of anxiety and depression. Respondents’ whose mental health deteriorated the most were also the ones who were least active (depression r = -.21, anxiety r = -.12). The majority of respondents were unmotivated to exercise because they were too anxious (+8%,), lacked social support (+6%), or had limited access to equipment (+23%) or space (+41%). The respondents who were able to stay active reported feeling less motivated by physical health outcomes such as weight loss (-7%) or strength (-14%) and instead more motivated by mental health outcomes such as anxiety relief (+14%). Coupled with previous work demonstrating a direct relationship between mental health and physical activity, these results highlight the potential protective effect of physical activity on mental health and point to the need for psychological support to overcome perceived barriers so that people can continue to be physically active during stressful times like the pandemic.

The COVID-19 pandemic has impacted the mental health, physical activity, and sedentary behavior of citizens worldwide. Using an online survey with 1669 respondents, we sought to understand why and how by querying about perceived barriers and motivators to physical activity that changed because of the pandemic, and how those changes impacted mental health. Consistent with prior reports, our respondents were less physically active (aerobic activity, −11%, p <0.05; strength-based activity, −30%, p<0.01) and more sedentary (+11%, p<0.01) during the pandemic as compared to 6-months before. The pandemic also increased psychological stress (+22%, p <0.01) and brought on moderate symptoms of anxiety and depression. Respondents’ whose mental health deteriorated the most were also the ones who were least active (depression r = −.21, p<0.01; anxiety r = −.12, p<0.01). The majority of respondents were unmotivated to exercise because they were too anxious (+8%, p <0.01), lacked social support (+6%, p =<0.01), or had limited access to equipment (+23%, p <0.01) or space (+41%, p <0.01). The respondents who were able to stay active reported feeling less motivated by physical health outcomes such as weight loss (−7%, p<0.01) or strength (−14%, p<0.01) and instead more motivated by mental health outcomes such as anxiety relief (+14%, p <0.01). Coupled with previous work demonstrating a direct relationship between mental health and physical activity, these results highlight the potential protective effect of physical activity on mental health and point to the need for psychological support to overcome perceived barriers so that people can continue to be physically active during stressful times like the pandemic.

Background: Monitoring food intake and physical activity (PA) using tracking applications may support behavior change. However, few longitudinal studies identify the characteristics of young adults who track their behavior, findings that could be useful in designing tracking-related interventions. Our objective was to identify predictors of past-year food and PA tracking among young adults. Methods: Data were available for 676 young adults participating in the ongoing longitudinal Nicotine Dependence in Teens Study. Potential predictors were measured in 2017–2020 at age 31, and past-year food and PA tracking were measured in 2021–2022 at age 34. Each potential predictor was studied in a separate multivariable logistic regression model controlling for age, sex, and educational attainment. Results: One third (37%) of participants reported past-year PA tracking; 14% reported past-year food, and 10% reported both. Nine and 11 of 41 potential predictors were associated with food and PA tracking, respectively. Compensatory behaviors after overeating, trying to lose weight, self-report overweight, reporting a wide variety of exercise behaviors, and pressure to lose weight predicted both food and PA tracking. Conclusion: Food and PA tracking are relatively common among young adults. If the associations observed herein between compensatory behavior after overeating and tracking (among other observed associations) are replicated and found to be causal, caution may need to be exercised in making “blanket” recommendations to track food intake and/or PA to all young adults seeking behavior change.

By reading this article, the following key points will be reinforced:Work with individuals exhibiting depressive symptoms in a group environment to avoid dropout.Use sufficient rest and recovery between intense sessions for anxious clients to avoid exacerbating symptoms.For beginner exercisers with mental health issues, start programming at lower intensity and slowly increase the intensity over time.For executive functions, the effects of high-intensity interval training are strongest for inhibitory control, which will help clients stick with the program over the long term.

Despite increasing access to sport and exercise opportunities, girls and women in Canada continue to face gender disparity in sport participation. Several media campaigns have emerged to address this disparity and advocate for gender equity in sport. However, there is little understanding or evaluation of the content of these media campaigns. Informed by sport participation research, the She’s Got It All campaign was designed to highlight the challenges and intersecting disadvantages that girls and women face in sport. The purpose of the current study was to assess the textual and visual content of this campaign. The posters (N = 48) were analyzed using inductive thematic analysis (text) and deductive content analysis (visual) to identify the characteristics of the images and the themes in the messages. Based on the thematic analysis, seven main themes pertaining to girls’ and women’s barriers to sport participation are identified including physiology, gendered social behaviors, intrapersonal beliefs, environmental contexts, stereotypes, female representation, and interpersonal support. Based on the content analysis, most of the models presented in the posters are perceived as White and average-sized adult women, with visible muscle definition, slightly or nonrevealing clothing, and performing an individual sport. The poster visual and text material seem to miss opportunities to highlight the experiences of girls and women identifying as lesbian, gay, bisexual, transgender, queer (or sometimes questioning), and others and those classified as lower socioeconomic status. These findings provide foundational information for future research and media campaign designed to target gender equity in sport.