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.
Citation: Marashi MY, Nicholson E, Ogrodnik M, Fenesi B, Heisz JJ (2021) A mental health paradox: Mental health was both a motivator and barrier to physical activity during the COVID-19 pandemic. PLoS ONE 16(4): e0239244. https://doi.org/10.1371/journal.pone.0239244
Editor: Yuka Kotozaki, Iwate Medical University, JAPAN
Received: August 29, 2020; Accepted: March 19, 2021; Published: April 1, 2021
Copyright: © 2021 Marashi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the paper and its Supporting information files.
Funding: This research was supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant 296518 to JJH, and the Social Sciences and Humanities Research Council (SSHRC) Canada Graduate Scholarship to MYM.
Competing interests: The authors have declared that no competing interests exist.
During the initial phase of the COVID-19 pandemic, governing bodies worldwide took decisive action to protect their citizens against the novel coronavirus by enforcing public lockdown and closing all non-essential services . Although such measures helped to “flatten the curve” and minimize infection rates, the restrictions also had significant consequences on citizens’ health and well-being in that pandemic-related concerns amplified mental distress of citizens worldwide [2–8]. A major concern is that psychological distress can quickly deteriorate into mental illness, even for people without a prior diagnosis ; though susceptibility varies by age  and income , with younger people and those with lower income being more susceptible. This has created an urgent need for effective interventions to help minimize the psychological burden of the pandemic and prevent a mental health crisis .
One of the most effective interventions to prevent stress-induced mental illness is physical activity . People who are more active also tend to be less anxious and depressed , and sedentary people who engage in a new exercise program experience relief from their depressive symptoms . Compared to antidepressant medication, thirty minutes of moderate-intensity aerobic exercise three times weekly may be equally effective at reducing psychological distress and decreasing symptoms of depression and anxiety without any of the drug-related side effects such as nausea, fatigue, or loss of appetite [15, 16].
However, maintaining a regular exercise program is difficult at the best of times and the conditions surrounding the COVID-19 pandemic may be making it even more difficult. The World Health Organization (WHO) recommends adults participate in 150 min/week of moderate-intensity aerobic physical activity (or 75 min/week of vigorous-intensity aerobic physical activity) and 2 or more days per week of muscle-strengthening activities . Globally, about 1 in 4 people were not meeting these guidelines prior to the pandemic , with these numbers differing by age  and income  such that younger adults are more likely to meet guidelines than older adults and higher income predicts better adherence to the guidelines than lower income. Recent reports suggest the pandemic has further decreased physical activity and increased sedentary time . In animal models, forced inactivity causes depressive symptoms , and experimentally controlled periods of exercise withdrawal in humans lead to increased symptoms of depression and anxiety . This link between physical and mental health is being further exposed in humans during this pandemic. An online survey administered during the initial stage of the COVID-19 pandemic found that respondents who were less physically active had worse mental health . Another survey conducted at the same time found that more screen time (a common sedentary behaviour) was associated with worse mental health in all respondents except for those who were physically active , suggesting that physical activity may protect against the expected mental health decline caused by the sedentary lifestyle of enforced lockdown.
Why has the COVID-19 pandemic exaggerated physical inactivity and sedentary behaviour? According to the Health Belief Model health-related behavior, and specifically PA, is related to perceived barriers and motivators . Typically, the most common perceived barrier to being physically active is lack of time . Lack of motivation is another commonly cited barrier . However, given the unprecedented circumstances surrounding the COVID-19 pandemic, people may now be facing unique barriers and motivators to engaging in physical activity.
The purpose of this study, therefore, was to determine what it is about the pandemic that is making people less active. Additionally, we aimed to unveil the most pertinent motivators reported by those continuing to meet daily PA targets. More specifically, we were interested in shifts in people’s perceived barriers and motivators to being physically active during the pandemic. Using an online survey, the present study gathered information from 1669 respondents pertaining to their physical activity, sedentary behavior and mental health before and during the initial lockdown of COVID-19. Results from this survey not only describe changes in barriers and motivators to PA, but provide concrete factors practitioners can explore with clients in an effort to promote PA behavior during a global pandemic.
Materials and methods
Design and respondents
The ethics application and supporting documents for the study were reviewed and cleared by the McMaster University Research Ethics Board (MREB #3808) to ensure compliance with the Tri-Council Policy Statement and the McMaster Policies and Guidelines for Research Involving Human Participants. Consent was obtained via an online survey preamble. To achieve a small margin of error based on a population size of 37 million, we recruited a total of 1669 respondents over a two-month data collection period (April 23 to June 30, 2020), for a 2% margin of error with 95% confidence intervals. The survey was open to all respondents at least 18 years of age, fluent in English, and able to complete the online survey. Respondents were recruited through the personal social media accounts of the research team and through local news sources (news articles by media at McMaster University and Hamilton Spectator). Respondents were also recruited via a link provided at the end of an op-ed piece published in The Conversation Canada, a national independent news source from the academic and research community.
The survey consisted of 30 questions and used a mix of multiple-choice, single choice, and short answer questions to query respondents about their demographic information, and their current and past (prior to the pandemic) physical activity behaviour (minutes/week). Additionally, respondents were asked about their current and past mental health status (i.e., stress levels, anxiety and depressive symptoms). All questions pertaining to physical activity and mental health were designed using validated rating scales. Respondents were included in a draw for 20 cash prizes of $100 CAD as remuneration for their participation in the form of an emailed prepaid voucher.
The Physical Activity and Sedentary Behavior Questionnaire (PASB-Q)  was adapted (i.e., rewording of questions to include COVID-19) to quantify self-reported levels of physical activity and sedentary behaviour 6-months prior to and during the COVID-19 pandemic. Respondents were asked to report minutes/week of strength training and aerobic exercise, hours/week of sedentary behavior, and self-rated activity level status on a 5-point scale where 1 = “Completely sedentary”, 2 = “Slightly active”, 3 = “Very active”, 4 = “Recreational athlete”, 5 = “Elite athlete”.
Barriers and motivators to exercise.
Respondents were asked to report current and prior (i.e., 6 months prior to COVID-19) barriers preventing them from being physically active using a multiple-choice list (e.g., “I could/cannot find the time in my day”, “I did/do not have access to a gym or recreational facility”) and motivators encouraging them to be physically active (e.g., “To maintain a healthy body weight”, “To build muscle and/or strength”) (S1 Appendix). The barriers and motivators assessed in the current study have been previously investigated and shown to significantly impact physical activity levels [28, 29].
Anxiety was measured using an adapted (i.e., on a 5-point scale instead of a 3-point scale to match other questionnaires and ease participant burden) version of the Generalized Anxiety Disorder 7-item Scale (GAD-7) . Respondents were asked how often they felt bothered by each anxiety symptom since the onset of COVID-19. Response options were 1 = “Not at all”, 2 = “Several days”, 3 = “More than half the days”, 4 = “Most days”, and 5 = “Every day”. All seven items were combined to form a global measure of anxiety.
Depression was measured using an adapted version of the Patient Health Questionnaire (PHQ-9) ; all but one of the 9 items (i.e., the one pertaining to suicidal thoughts and/or self-harm) were included for a total of 8 items, which were combined into a global measure of depression. Respondents were asked how often they feel bothered by each depression symptom since the onset of COVID-19. Response options were 1 = “Not at all”, 2 = “Several days”, 3 = “More than half the days”, 4 = “Most days”, and 5 = “Every day”.
Question 3 from the Perceived Stress Scale (PSS)  was used to measure psychological stress. Respondents were asked how often they felt nervous and “stressed” both prior to and since the onset of COVID-19 on a 5-point scale where 1 = “Never”, 2 = “Sometimes”, 3 = “Fairly often”, 4 = “Often”, and 5 = “Very often”.
To capture an overall change in mental health since the onset of COVID-19, respondents were asked to rate their overall mental health since COVID in relation to how it was in the six-months prior to COVID with the options of choosing “Much better”, “Better”, “No change”, “Worse”, or “Much worse”.
The IBM SPSS® statistics software platform (Version 26) was used to carry out all analyses. Descriptive statistics (means and standard deviations for continuous variables, and frequency counts and percentages for categorical variables) were computed to describe demographic characteristics, mental health, and physical activity levels. Normality was assessed using Shapiro-Wilkes tests and through visual inspection of histograms. For all analyses, significance was considered at p < 0.05, and nonparametric tests were chosen wherever data did not meet the assumption of normality.
For correlational analysis, all respondents who left 100% of the survey questions blank were removed (N = 166). Physical activity and mental health data were then screened for missingness which ranged from 8.2–11.8% and 10.2–17.3% respectively. Missing cells were subsequently imputed using expectation-maximization  for all physical activity and mental health variables. In the case where a negative physical activity datum or score exceeding the maximum mental health score was imputed, the datum was removed. Physical activity and mental health data used in correlations had a resulting 0.1–0.5% and 0.1% missingness respectively.
Sample characteristics and mental health status
Survey respondents were primarily female between 18–29 years of age, living in Canada and well-educated (Table 1). Most respondents spent at least four weeks in social isolation at the time of the survey, and a large portion were currently working regular hours from home. More respondents reported that they were making “less than enough” since the onset of the pandemic compared to their income within the 6 months before the pandemic. Although few respondents indicated a close exposure to someone with COVID-19 or COVID-19 symptoms, nearly half knew someone immunocompromised and therefore at high risk.
Impact of the pandemic on mental health status
Average anxiety (19.0±0.2, max = 35) and depression (20.2±0.2, max = 40) scores reflect moderate symptoms for both anxiety and depression. Tables 2 and 3 show positive correlations between anxiety and depression from the onset of the pandemic revealing that individuals with more anxiety symptoms also had more depressive symptoms. To identify respondents at higher risk for mental illness during the pandemic, Kruskal-Wallis one-way ANOVA evaluated between-group differences in anxiety and depression by age and income. With respect to age, respondents aged 18–29 experienced significantly higher anxiety than those 30–45 (H(4,1310) = 2.85, p = < 0.01), 46–65 (H(4,1310) = 4.15, p = < 0.01), and 65+ (H(4,1310) = 7.85, p = < 0.01). The same pattern was seen in depression, wherein those aged 18–29 experienced higher depression than those 30–45 (H(4,1278) = 5.13, p = < 0.01), 46–65 (H(4,1278) = 5.92, p = < 0.01), and 65+ (H(4,1278) = 7.61, p = < 0.01). With respect to income, respondents making “less than enough” had significantly higher levels of anxiety and depression than those making “just enough” (H(3,1310) = 6.93, p < 0.01; H(3,1278) = 9.19, p < 0.01) and “more than enough” (H(3,1310) = 8.64, p < 0.01; H(3,1278) = 10.96, p < 0.01). As well, respondents making “just enough” had significantly higher anxiety and depression than those making “more than enough” (H(3,1310) = -3.71 p < 0.01; H(3,1278) = -4.40, p < 0.01).
To assess changes in self-perceived psychological stress, a Wilcoxon Signed Ranks Test was performed on ratings before and during the initial stages of the COVID-19 pandemic and McNemar’s tests were used to assess changes in frequencies. There was a significant increase in stress levels during the pandemic (Z = -17.00, p < 0.01) (Fig 1). Since the onset of COVID-19, 22% of respondents who had felt stressed “sometimes” (p < 0.01) now felt stressed “often” (+7%; p < 0.01) or “very often” (+17%; p < 0.01) (Fig 2). The pandemic did not impact the number of respondents who reported “never” (p = 0.13) feeling stressed or feeling stressed “fairly often” (p = 0.28).
Impact of the pandemic on physical activity and sedentary behaviour
To test the hypothesis that physical activity levels dropped during the initial stages of the COVID-19 pandemic, Wilcoxon Signed Rank statistics were computed on changes in aerobic activity, strength training activity and sedentary behaviour and McNemar’s tests were used to assess the change in self-identified exercise status. Since the onset of COVID-19, respondents’ aerobic activity decreased by 22 minutes (-11%; Z = -2.50, p < 0.05), their strength-based activity decreased by 32 minutes (-30%; Z = -7.89, p < 0.01), and their sedentary times increased by 33 minutes (+11%; Z = -14.18, p < 0.01) (Figs 3 and 4). Respondents who had been “recreational athletes” (-6%; p < 0.01), “very active” (-6%; p < 0.01), or “moderately active” (-5%; p < 0.01) before the pandemic, now identify as being “completely sedentary” (+17%; p < 0.01). There was no change in the frequency of respondents who self-identified as “elite athletes” (p = 0.12) (Fig 5). Tables 2 and 3 show correlations between physical activity and sedentary behaviour both before and during the COVID-19 pandemic. Although total physical activity decreased during COVID-19, each respondents’ physical activity level remained proportional to their activity level prior to the pandemic.
There was a significant decrease in both moderate-to-vigorous physical aerobic activity (MVPA; *p < 0.05) and strength training (ST; **p < 0.01). Error bars represent standard error.
There was a significant increase in sedentary activity reported by respondents since the COVID-19 pandemic (Z = -14.18, **p < 0.01). Error bars represent standard error.
17% of respondents who had were “recreational athletes” (-6%; **p < 0.01), “very active” (-6%; **p < 0.01), or “moderately active” (-5%; **p < 0.01), now identify as being “completely sedentary” (**p < 0.01).
To identify respondents at higher risk for decreased physical activity during the initial stage of the COVID-19 pandemic, Kruskal-Wallis tests were conducted on between-group differences in physical activity change by income and age. Respondents who made “less than enough” (H(3,1384) = -3.60, p < 0.01) or “just enough” (H(3,1384) = -2.96, p < 0.01) income to meet their needs had significantly lower levels of MVPA during COVID-19 than those making “more than enough”. Although this trend was seen overall, the effect was largest for the 18–29 age group. A similar trend was observed in sedentary behaviour wherein those who made “less than enough” experienced greater increases in daily sedentary time compared to those who made “more than enough” (H(3,1422) = 95.14, p < 0.01), and those who made “just enough” also had elevated sedentary time compared to those who made “more than enough (H(3,1422) = 56.61, p < 0.05). Similarly, those aged 18–29 reported the greatest sedentary time during the COVID-19 pandemic compared to any other age group.
Did physical activity and sedentary behaviour predict mental health during the pandemic?
When examining the change in total physical activity level split by the change in mental health status, respondents whose mental health got “worse” or “much worse” had greater reductions in physical activity since COVID-19 than those who experienced “no change” or got “better” or “much better” (Fig 6; H(5,1381) = 7.23, p < 0.01; H(5,1381) = 6.23, p < 0.01).
Respondents whose mental health got “worse” or “much worse” had greater reductions in physical activity time since COVID-19 compared to those who experienced “no change” or got “better” or “much better” (p < 0.01).
Spearman’s rank-order correlations were conducted assessing relationships between physical activity (prior, during, change) with mental health status (Tables 2 and 3). Overall, respondents who reported a greater decrease in their aerobic and strength-based physical activity during the pandemic also experienced more anxiety and depression (r(1544) = -0.12, p < 0.01; r(1544) = -0.21, p < 0.01). This was not only reflected in their activity levels during the pandemic (i.e., people who engaged in less physical activity during the pandemic were more anxious and depressed; MVPA: r(1540) = -0.18, p < 0.01; r(1540) = -0.31, p < 0.01; ST: r(1542) = -0.14, p < 0.01; r(1542) = -0.22, p < 0.01) but also before (i.e., those who engaged in less physical activity before the pandemic were more depressed during the pandemic; r(1539) = -0.11, p < 0.01; r(1537) = -0.06, p < 0.01). Similar patterns in anxiety and depression were observed for those who experienced greater increases in sedentary behaviour, such that greater changes in sedentary time were associated with greater anxiety and depression during the pandemic (r(1420) = 0.07, p < 0.01; r(1420) = 0.12, p < 0.01).
Impact of the pandemic on barriers and motivators to physical activity
To determine whether there were significant changes in the motivators and barriers to engage in physical activity due to COVID-19, McNemar’s tests were conducted. With respect to changes in motivators, respondents reported being less motivated to be physically active for ‘weight loss’ (-7%; p < 0.01), ‘strength building’ (-14%; p < 0.01), ‘enjoyment’ (-9%; p < 0.01), ‘appearance goals’ (down 4%; p < 0.01), ‘social engagement’ (-21%; p < 0.01), ‘sports training’ (down 5%; p < 0.01), and ‘healthcare provider recommended’ (-2%; p < 0.01). In contrast, respondents reported being more motivated to be physically active for ‘stress reduction’ (+5%; p < 0.01), ‘anxiety-relief’ (+14%; p < 0.01), ‘improve sleep’ (+4%; p < 0.05), and ‘no motivators’ (+4%; p < 0.01) (Fig 7). Viewing ‘increased energy’ as a motivator to engage in physical activity did not change during the pandemic (p > 0.05).
All motivators shown indicate a significant change (*p < 0.05, **p < 0.01). Motivators that increased significantly include ‘stress reduction’, ‘anxiety relief’, ‘improve sleep’ and ‘no motivators’. Motivators that decreased significantly include ‘weight loss’, ‘strength building’, ‘enjoyment’, ‘appearance goals’, ‘social engagement’, ‘sports training’ and ‘healthcare provider (HCP) recommended’. There was no change in how ‘increase energy’ was viewed as a motivator to exercise during the pandemic (p > 0.05).
With respect to barriers, respondents reported decreases in ‘insufficient time’ (-23%; p < 0.01), ‘no barriers’ (-10%; p < 0.01), ‘lack of confidence’ (-2%; p < 0.01), ‘recent injury’ (-3%; p < 0.01) and ‘insufficient finances’ (-3%; p < 0.01). In contrast, respondents reported increases in ‘lack of motivation’ (+8%; p < 0.01), ‘no facility access’ (+41%; p < 0.01), ‘no equipment’ (+23%; p < 0.01), ‘increased anxiety’ (+8%; p < 0.01), and ‘lack of support’ (+6%; p < 0.01). Barriers to engage in physical activity including ‘no access to childcare’, ‘lack of enjoyment’ and ‘fear of injury’ did not change because of the pandemic (Fig 8).
All barriers listed showed a significant change (**p < 0.01). Barriers which increased significantly since COVID-19 include ‘lack of motivation’, ‘no facility access’, ‘no equipment’, ‘increased anxiety’ and ‘lack of support’. Barriers which decreased significantly during COVID-19 include ‘insufficient time’, ‘no barriers’, ‘lack of confidence’, ‘recent injury’ and ‘insufficient finances’. No change in barriers related to ‘lack of enjoyment’, ‘no access to childcare’ and ‘fear of injury’ (p > 0.05).
As an exploratory analysis, we conducted a series of linear regressions to determine whether self-reported levels of anxiety and depression predicted self-perceived barriers and motivators to exercise, and they did. Unsurprisingly, respondents who reported greater depressive symptoms were more likely to endorse ‘lack of self-motivation’ as a barrier to engaging in physical activity during the pandemic (F(1,1283) = 29.97, p < 0.01, R2 = 0.02). Respondents who reported greater symptoms of anxiety were more likely to endorse ‘stress relief’ as a motivator (F(1,1282) = 26.05, p < 0.01, R2 = 0.02) and ‘anxiety’ as a barrier (F(1,1283) = 7.16, p < 0.01, R2 = 0.01) to engage in physical activity during the pandemic.
The present study examined the effect of the COVID-19 pandemic on the mental health, physical activity, and sedentary behavior of individuals undergoing pandemic lockdowns and physical distancing measures. Respondents reported higher psychological stress and moderate levels of anxiety and depression brought on by the pandemic. At the same time, the pandemic made it more difficult for them to be active, with aerobic activity down 11%, strength training down 30%, and sedentary time up 11% in comparison to their self-reported activity 6 months prior to the pandemic. Critically, respondents whose physical activity declined the most during the pandemic also experienced the worse mental health outcomes. Whereas, the respondents who maintained their physical activity levels, despite the pandemic, fared much better mentally.
Why was it so difficult for people to stay active during the pandemic? To address this important question, we assess barriers and motivators to being physically active that may have changed during the pandemic. According to the health belief model, lack of time is the most common perceived barrier to being physically active . However, the context of the global pandemic decreased the perceived barrier of lack of time but created new barriers. Overall, respondents were not motivated to be physically active because they felt too anxious and lacked social support. Respondents who were able to maintain their activity levels noticed a shift in what motivated them: they were less motivated by physical health and appearance, and more motivated by mental health and wellbeing. Stress relief, anxiety reduction, and sleep improvements were among the top motivators that increased during the pandemic, and indeed, research supports the use of physical activity for brain health  stress management  and sleep quality .
However, our results highlighted a paradox with mental health being both a motivator and barrier to physical activity. People wanted to be active to improve their mental health but found it difficult to be active due to their poor mental health. For example, despite the anxiolytic effects of exercise , respondents viewed their anxiety as a barrier to being physically active. Likewise, respondents who were more depressed were also less motivated to engage in physical activity, and amotivation is a symptom of depression itself. Although this is not a new challenge for clinicians whose depressed patients struggle to adhere to a prescribed exercise program , the stressfulness of the pandemic has made this a global issue that now must be considered when devising physical activity programs to support the mental wellbeing of citizens.
Was the drop in physical activity from the pandemic a cause or consequence of worsened mental health? Although this study cannot answer that question, it suggests the benefits of a two-pronged approach in promoting physical activity during stressful times that includes: 1) adopting a mode of physical activity that supports mental health, and 2) providing support to help minimize perceived psychological barriers to exercise . For example, symptoms of anxiety may increase with high-intensity exercise and therefore moderate-intensity exercise might be preferable . At the same time, to help overcome “feeling too anxious to exercise”, people should be encouraged to schedule their physical activity ahead of time in a calendar  to reduce feelings of uncertainty and decision fatigue that can aggravate their anxiety symptoms .
Not surprisingly, government-mandated closure to gyms and other recreational training facilities made it more difficult for people to be physically active. This was realized as a lack of necessary space and equipment during the pandemic reported as major barriers to being physically active. The pandemic forced a shift in doing everything at home but not everyone’s home is large enough or well-equipped to support their physical activity needs. Indeed, income level was predictive of activity level during the pandemic. People who reported “just enough” or “less than enough” income experienced greater decreases in physical activity and worsening mental health, especially younger adults aged 18 to 29 years old. Interestingly, these findings do not mirror the common trend that physical activity level declines with age  and instead, highlight a potential interaction between age and income that may reveal unique barriers to being physical activity. It is plausible that younger adults who typically work longer hours and earn less are lacking both the time (e.g., due to long hours) and space (e.g., smaller dwelling) to meet physical activity goals. Outdoor activity could be a viable substitute , although this was not permitted in some countries during the pandemic . Furthermore, increasing the number of repetitions performed during resistance training exercises can serve to adjust relative training intensity if lack of equipment is perceived as a barrier .
On top of being less active, our respondents reported spending significantly more time seated. The pandemic increased sedentary time by 10% or approximately 30 minutes per day. Although this may not seem like a lot, increasing sedentary time by just one hour has been associated with a 12% greater risk of mortality over a 6-year period . But sedentary behavior is not only associated with poor physical health , it is also associated with poor mental health including lower perceived ratings of mental health and poorer quality of life . Prolonged periods of sedentary behavior increase inflammatory markers  that may exacerbate symptoms of depression and anxiety . Breaking up sedentary time with short frequent breaks (e.g., 1–2 minutes every half hour) may be sufficient to negate the negative health outcomes sedentary behaviour. Research shows that shorter frequent breaks are easier to adhere to than longer infrequent breaks  and can reduce sedentary behavior by more than 35 minutes per day, which would be enough to counteract the reported increase observed in this study.
Despite the valuable insights provided by this study; it is not without limitations. Our sample consisted mainly of young (18–29), highly educated (Bachelor’s degree or higher), female-identifying Canadian inhabitants which may limit the generalizability of the results. We recognize that this bias may have been partially attributed to one of our modes of recruitment being through an academic news source. On average, our respondents were meeting the physical activity recommendations , which is not representative of the population at large. Moreover, a self-reported web-based survey was used to collect data and therefore response accuracy was unverifiable, and respondents required a device to access the internet; however, our large sample size would help minimize the impact of individual bias in reporting.
In conclusion, our findings highlight the importance of physical activity in mental health while also capturing the most prevalent perceived barriers and motivators to exercise during a global pandemic. These findings have the potential to inform health and fitness practitioners as they navigate their practice during a pandemic. During stressful times, like the COVID-19 pandemic, people are especially motivated to be physically active for their mental health but may be too anxious or depressed to partake. Our results point to the need for additional psychological supports to help people maintain their physical activity levels during stressful times in order to minimize the psychological burden of the pandemic and prevent the development of a mental health crisis.
The authors wish to thank Samantha Choy for helping with data collection and management, and Paulina Rzeczkowska for helping create the tables and graphics.
- 1. Guidance on Essential Services and Functions in Canada During the COVID-19 Pandemic. Public Safety Canada / Sécurité publique Canada [Internet]. 2020. https://www.publicsafety.gc.ca/cnt/ntnl-scrt/crtcl-nfrstrctr/esf-sfe-en.aspx.
- 2. Casagrande M, Favieri F, Tambelli R, Forte G. The enemy who sealed the world: effects quarantine due to the COVID-19 on sleep quality, anxiety, and psychological distress in the Italian population. Sleep Med. 2020; 75:12–20. pmid:32853913
- 3. Huang Y, Zhao N. Generalized anxiety disorder, depressive symptoms, and sleep quality during COVID-19 outbreak in China: a web-based cross-sectional survey. Psychiatry Res. 2020 Jun;288:112954 pmid:32325383
- 4. Jungmann SM, Witthöft M. Health anxiety, cyberchondria, and coping in the current COVID-19 pandemic: Which factors are related to coronavirus anxiety? J Anxiety Disord. 2020 Jun;73:102239. pmid:32502806
- 5. Luo M, Guo L, Yu M, Jiang W, Wang H. The psychological and mental impact of coronavirus disease 2019 (COVID-19) on medical staff and general public–A systematic review and meta-analysis. Psychiatry Res. 2020 Sep;291:113190. pmid:32563745
- 6. Mazza C, Ricci E, Biondi S, Colasanti M, Ferracuti S, Napoli C, et al. A Nationwide Survey of Psychological Distress among Italian People during the COVID-19 Pandemic: Immediate Psychological Responses and Associated Factors. Int J Env Res Pub He. 2020 May 2;17(9):3165. pmid:32370116
- 7. Newby JM, O’Moore K, Tang S, Christensen H, Faasse K. Acute mental health responses during the COVID-19 pandemic in Australia. Plos One. 2020 Jul 28;15(7):e0236562. pmid:32722711
- 8. Rajkumar RP. COVID-19 and mental health: A review of the existing literature. Asian J Psychiatr. 2020 Aug;52:102066. pmid:32302935
- 9. Xiang Y-T, Yang Y, Li W, Zhang L, Zhang Q, Cheung T, et al. Timely mental health care for the 2019 novel coronavirus outbreak is urgently needed. Lancet Psychiat. 2020; 7(3):228–9. pmid:32032543
- 10. Keyes CL, Westerhof GJ. Chronological and subjective age differences in flourishing mental health and major depressive episode. Aging Ment Health. 2011; 16(1):67–74. pmid:21780972
- 11. Lauder W, Kroll T, Jones M. Social determinants of mental health: the missing dimensions of mental health nursing? J Psychiatr Ment Health Nurs. 2007; 14(7):661–9. pmid:17880660
- 12. Galea S, Merchant RM, Lurie N. The Mental Health Consequences of COVID-19 and Physical Distancing. JAMA Intern Med. 2020; 180(6):817. pmid:32275292
- 13. Bull FC, Al-Ansari S, Biddle S, Borodulin K, Buman MP, Cardon G, et al. World Health Organization 2020 guidelines on physical activity and sedentary behaviour. Br J Sports Med. 2020; 54(24):1451–1462. pmid:33239350
- 14. Stubbs B, Vancampfort D, Rosenbaum S, et al. An examination of the anxiolytic effects of exercise for people with anxiety and stress-related disorders: A meta-analysis. Psychiatry Res. 2017; 249: 102–108. pmid:28088704
- 15. Kvam S, Kleppe CL, Nordhus IH, Hovland A. Exercise as a treatment for depression: A meta-analysis. J Affect Disord. 2016; 202:67–86. pmid:27253219
- 16. Netz Y. Is the Comparison between Exercise and Pharmacologic Treatment of Depression in the Clinical Practice Guideline of the American College of Physicians Evidence-Based? Front Pharmacol. 2017 May 15;8:257. pmid:28555108
- 17. WHO guidelines on physical activity and sedentary behavior. Geneva: World Health Organization; 2020.
- 18. Statistics Canada. Table 13-10-0096-01 Health characteristics, annual estimates
- 19. Spinney J, Millward H. Time and Money: A New Look at Poverty and the Barriers to Physical Activity in Canada. Soc Indic Res. 2010; 99(2):341–56.
- 20. Cheval B, Sivaramakrishnan H, Maltagliati S, Fessler L, Forestier C, Sarrazin P, et al. Relationships Between Changes in Self-Reported Physical Activity and Sedentary Behaviours and Health During the Coronavirus (COVID-19) Pandemic in France and Switzerland. J Sports Sci. 2021 Mar;39(6):699–704. pmid:33118469
- 21. Morgan JA, Singhal G, Corrigan F, Jaehne EJ, Jawahar MC, Breen J, et al. Ceasing exercise induces depression-like, anxiety-like, and impaired cognitive-like behaviours and altered hippocampal gene expression. Brain Res Bull. 2019; 148:118–30. pmid:30826395
- 22. Weinstein AA, Koehmstedt C, Kop WJ. Mental health consequences of exercise withdrawal: A systematic review. Gen Hosp Psychiatry. 2017; 49:11–8. pmid:28625704
- 23. Lesser IA, Nienhuis CP. The Impact of COVID-19 on Physical Activity Behavior and Well-Being of Canadians. Int J Env Res Pub He. 2020 May 31;17(11):3899. pmid:32486380
- 24. Colley RC, Bushnik T, Langlois K. Exercise and screen time during the COVID-19 pandemic. Statistics Canada Health Reports. 2020;31: 6. https://www150.statcan.gc.ca/n1/pub/82-003-x/2020006/article/00001-eng.htm. pmid:32672923
- 25. Rosenstock IM. The Health Belief Model and Preventative Health Behavior. Health Educ. Monogr. 1974; 2(4):354–386.
- 26. Justine M, Azizan A, Hassan V, Salleh Z, Manaf H. Barriers to participation in physical activity and exercise among middle-aged and elderly individuals. Singapore Med J. 2013; 54(10):581–6. pmid:24154584
- 27. Fowles JR, O’Brien MW, Wojcik WR, D’Entremont L, Shields CA. A pilot study: Validity and reliability of the CSEP–PATH PASB-Q and a new leisure time physical activity questionnaire to assess physical activity and sedentary behaviours. Appl Physiol Nutr Me. 2017; 42(6):677–80. pmid:28264170
- 28. Hoare E., Stavreski B., Jennings G. L., & Kingwell B. A. Exploring Motivation and Barriers to Physical Activity among Active and Inactive Australian Adults. Sports. 2017 Jun 28;5(3):47. pmid:29910407
- 29. Samara A, Nistrup A, AL-Rammah TY, & Aro AR. Lack of facilities rather than sociocultural factors as the primary barrier to physical activity among female Saudi university students. Int J Womens Health. 2015; 7: 279–286. pmid:25834468
- 30. Spitzer RL, Kroenke K, Williams JBW, Löwe B. A Brief Measure for Assessing Generalized Anxiety Disorder. Arch Intern Med. 2006 May 22;166(10):1092–7. pmid:16717171
- 31. Kroenke K, Spitzer RL. The PHQ-9: A New Depression Diagnostic and Severity Measure. Psychiatr Ann. 2002; 32(9):509–15.
- 32. Cohen S, Kamarck T, Mermelstein R. A Global Measure of Perceived Stress. J Health Soc Behav. 1983; 24(4):385. pmid:6668417
- 33. Tabachnick BG, Fidell LS. Using multivariate statistics. Pearson/Allyn & Bacon; 2007.
- 34. Rebar AL, Stanton R, Geard D, Short C, Duncan MJ, Vandelanotte C. A meta-meta-analysis of the effect of physical activity on depression and anxiety in non-clinical adult populations. Health Psychol Rev. 2015; 9(3):366–78. pmid:25739893
- 35. Rimmele U, Seiler R, Marti B, Wirtz PH, Ehlert U, Heinrichs M. The level of physical activity affects adrenal and cardiovascular reactivity to psychosocial stress. Psychoneuroendocrinology. 2009; 34(2):190–8. pmid:18922645
- 36. Kredlow MA, Capozzoli MC, Hearon BA, Calkins AW, Otto MW. The effects of physical activity on sleep: a meta-analytic review. J Behav Med. 2015; 38(3):427–49. pmid:25596964
- 37. Glazer KM, Emery CF, Frid DJ, Banyasz RE. Psychological Predictors of Adherence and Outcomes Among Patients in Cardiac Rehabilitation. J Cardiopulm Rehabil. 2002; 22(1):40–6. pmid:11839996
- 38. Marcus B, Forsyth LA. Motivating people to be physically active. Human Kinetics; 2009.
- 39. Paolucci EM, Loukov D, Bowdish DM, Heisz JJ. Exercise reduces depression and inflammation but intensity matters. Biol Psychol. 2018; 133:79–84. pmid:29408464
- 40. Arbour KP, Ginis KAM. Helping Middle-Aged Women Translate Physical Activity Intentions Into Action: Combining the Theory of Planned Behavior and Implementation Intentions. J App Biobehav Res. 2007; 9(3):172–87.
- 41. Ajzen I. The theory of planned behavior. Organizational Behavior and Human Decision Processes. 1991; 50(2):179–211.
- 42. Pasanen TP, Tyrväinen L, Korpela KM. The Relationship between Perceived Health and Physical Activity Indoors, Outdoors in Built Environments, and Outdoors in Nature. Appl Psychol Health Well-Being. 2014; 6(3):324–46. pmid:25044598
- 43. Slater SJ, Christiana RW, Gustat J. Recommendations for Keeping Parks and Green Space Accessible for Mental and Physical Health During COVID-19 and Other Pandemics. Prev Chronic Dis. 2020 Jul 9;17:E59. pmid:32644919
- 44. Burd NA, Holwerda AM, Selby KC, West DWD, Staples AW, Cain NE, et al. Resistance exercise volume affects myofibrillar protein synthesis and anabolic signalling molecule phosphorylation in young men. J Physiol. 2010; 588(16):3119–30. pmid:20581041
- 45. Matthews CE, Keadle SK, Troiano RP, Kahle L, Koster A, Brychta R, et al. Accelerometer-measured dose-response for physical activity, sedentary time, and mortality in US adults. Am J Clin Nutr. 2016; 104(5):1424–32. pmid:27707702
- 46. Rezende LFMD, Lopes MR, Rey-López JP, Matsudo VKR, Luiz ODC. Sedentary Behavior and Health Outcomes: An Overview of Systematic Reviews. Plos One. 2014 Aug 21;9(8):e105620. pmid:25144686
- 47. Gibson A-M, Muggeridge DJ, Hughes AR, Kelly L, Kirk A. An examination of objectively-measured sedentary behavior and mental well-being in adults across week days and weekends. Plos One. 2017 Sep 21;12(9):e0185143. pmid:28934319
- 48. Stubbs B, Gardner-Sood P, Smith S, Ismail K, Greenwood K, Farmer R, et al. Sedentary behaviour is associated with elevated C-reactive protein levels in people with psychosis. Schizophr Res. 2015; 168(1–2):461–4. pmid:26189077
- 49. Copeland WE, Shanahan L, Worthman C, Angold A, Costello EJ. Generalized anxiety and C-reactive protein levels: a prospective, longitudinal analysis. Psychol Med. 2012; 42(12):2641–50. pmid:22716910
- 50. Mailey EL, Rosenkranz SK, Casey K, Swank A. Comparing the effects of two different break strategies on occupational sedentary behavior in a real-world setting: A randomized trial. Prev Med Rep. 2016; 4:423–8. pmid:27583200