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Article

Exploring Barriers and Facilitators to Physical Activity during the COVID-19 Pandemic: A Qualitative Study

UCL Department of Behavioural Science and Health, University College London, London WC1E 6BT, UK
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(15), 9169; https://doi.org/10.3390/ijerph19159169
Submission received: 28 June 2022 / Revised: 22 July 2022 / Accepted: 24 July 2022 / Published: 27 July 2022

Abstract

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Quantitative data show that physical activity (PA) reduced during the COVID-19 pandemic, with differential impacts across demographic groups. Qualitative research is limited; thus, this study aimed to understand barriers and facilitators to PA during the pandemic, focusing on groups more likely to have been affected by restrictions, and to map these onto the capability, opportunity, motivation model of behaviour (COM-B). One-to-one interviews were conducted with younger (aged 18–24) and older adults (aged 70+), those with long-term physical or mental health conditions, and parents of young children. Themes were identified using reflexive thematic analysis and were mapped onto COM-B domains. A total of 116 participants contributed (aged 18–93, 61% female, 71% White British). Key themes were the importance of the outdoor environment, impact of COVID-19 restrictions, fear of contracting COVID-19, and level of engagement with home exercise. Caring responsibilities and conflicting priorities were a barrier. PA as a method of socialising, establishing new routines, and the importance of PA for protecting mental health were motivators. Most themes mapped onto the physical opportunity (environmental factors) and reflective motivation (evaluations/plans) COM-B domains. Future interventions should target these domains during pandemics (e.g., adapting PA guidance depending on location and giving education on the health benefits of PA).

1. Introduction

The World Health Organisation (WHO) declared COVID-19 a global pandemic in March 2020 [1]. In response, the United Kingdom government introduced measures to reduce transmission, including social distancing, closure of exercise and hospitality venues, and full lockdowns where the population was advised to ‘stay at home’. Under the strictest guidance, physical activity (PA) outside of the home was limited to once per day within the local area [2].
Many quantitative studies have examined the effect of pandemic restrictions on PA. A systematic review of 66 observational studies found that PA reduced during periods of lockdown [3]. However, there are indicators of differential (or conflicting) findings when studies have explored effects by demographic groups. For example, a longitudinal survey and smartphone tracking study found substantial declines in PA for younger adults [4,5]. However, whilst many studies suggested that older adults may have been more likely to maintain, or even increase, their PA during the pandemic [5,6,7,8], others showed a stronger decline in older adults [9,10,11].
The pandemic restrictions were more profoundly experienced for some demographic groups, likely resulting in greater reductions in PA. For example, over 2.2 million individuals living with long-term health conditions (LTCs) in the UK were advised to ‘shield’ (not leave their home or garden at all) [12]. Observational studies suggest corresponding declines in PA for those with LTCs [13,14,15]. Similarly, cross-sectional studies suggest that individuals with mental health conditions (MHCs) showed lower levels of PA during the pandemic [4,16,17,18]. Further, parents of younger children faced additional caring responsibilities due to closures of childcare settings and schools [19], which may have led to them being less active [20,21,22].
Despite the large body of quantitative data, few qualitative studies have explored the impact of the pandemic on PA, and most have focused specifically on older adults. One study explored the experiences of 17 older adults living in Australian retirement villages. Barriers to PA included closure of exercise facilities, cancellation of group activities, and lack of equipment, while facilitators were wanting to maintain fitness, enjoyment, and experiencing positive emotions after PA, including exercising with someone, access to technology and provision of exercise routines [23]. Interviews conducted with six general-population older adults in France [24] and 25 in the United States [25] found that they stopped attending exercise classes due to fear of COVID-19 infection. Additional barriers included concerns about safety, working from home and not having knowledge of/interest in online PA resources [24,25]. A UK study used a mixed-methods approach with telephone interviews to understand reasons for pandemic-related change in PA levels for 26 adults with LTCs. Reasons included having to ‘shield’, fear of catching COVID-19, lack of garden access and closure of exercise facilities [26]. Free text coding of survey data from 1214 Irish adolescents found that facilitators for PA during the pandemic included not having to attend school, having little else to do and prioritising health, while barriers included low motivation, lack of routine, cancelled club activities and health concerns [27]. However, data were gathered using online surveys which, while valuable, limits the depth of information that participants can provide.
Furthermore, application of qualitative findings to theoretical frameworks is limited. The capability, opportunity and motivation model of behaviour (COM-B) is particularly useful, as barriers and facilitating factors map directly onto intervention functions, which is helpful for informing intervention development for future pandemics and health emergencies. The model suggests that capability (knowledge and skills), opportunity (social and environmental factors) and motivation (cognitive processes directing behaviour) are key for engagement in a target behaviour [28]. The COM-B constructs of capability and motivation quantitatively explained a large proportion of variance in moderate to vigorous PA prior to the pandemic [29], and the COM-B model was successfully utilised in the COVID-19 Social Study (CSS) to help understand the psychological factors influencing compliance with social distancing guidance [30]. One systematic review explored correlates of PA and sedentary behaviour during the pandemic and mapped the themes to the COM-B model [31]. This study identified a range of individual psychological factors (e.g., motivation, mental health), social level factors (e.g., social support) and environmental factors (e.g., area of residence) as key for PA and sedentary behaviour. However, the review was largely based on quantitative data, which do not give the depth of perspectives accessible through qualitative methods. Additionally, while authors suggested that changes to all domains of the COM-B model are important for facilitating PA engagement, particularly physical opportunity and psychological capability, they did not make specific recommendations for how this could be done.
The aim of this study was therefore to qualitatively explore barriers and facilitators to PA during the COVID-19 pandemic across different demographic groups whose participation in PA may have been particularly affected, and to map these onto the COM-B model.

2. Materials and Methods

2.1. Design

This was part of the qualitative arm of the UCL-COVID-19 Social Study (CSS) [32]. Although the overarching aim of the CSS was to explore the impact of COVID-19 restrictions on mental health and wellbeing, a planned sub-aim was to explore the impact on PA.

2.2. Participants

Participants were recruited using convenience sampling by advertising the study on the CSS website, newsletter, and social media, through personal contacts and via third party organisations through the MARCH Mental Health Research network [33]. The target groups for recruitment in the qualitative arm of the CSS were those whose mental health and wellbeing were hypothesised to have been particularly impacted by the pandemic and associated restrictions (e.g., adolescents, younger adults, older adults, those with LTCs, parents of young children, those with MHCs, frontline healthcare workers, non-health key workers, those in the gig economy and adults experiencing long-term effects of COVID-19). Participants were eligible if they were living in the UK, identified with one or more of the target groups, had good understanding of English and were willing and able to provide informed consent (or parental consent was given for adolescents). Participant response rates were not recorded.
Between May 2020 and January 2021, over 200 participants in the UK were interviewed. The COVID-19 restrictions that were in place during the data collection period are described in Table 1. For the current study, interviews were included from groups who we considered (based on existing quantitative data) were likely to be especially impacted by the pandemic in terms of their PA and to have discussed it in enough depth to code (e.g., interview data with frontline workers and those in the gig economy related more to the effects of the pandemic on work, rather than PA). Groups we focused on included young adults aged 18–24 [4,5], older adults over the age of 70 [9,10], those with LTCs [12,13,14,15] or MHCs [4,16,17,18] and parents of young children [19,20,21,22]. Ethical approval was provided by the UCL ethics committee (project identifier 14895/005), and all participants provided informed written consent. Participants were offered a GBP 20 voucher for participation.

2.3. Qualitative Interviews

Interviews were conducted one-to-one via video or telephone call by a member of the CSS team with no prior relationship with any participant they interviewed. Interviewers were male and female postgraduate researchers who had prior experience of conducting qualitative interviews with people experiencing physical and mental health difficulties, and vulnerable groups. Interviews followed a topic guide designed to explore the impact of the pandemic on participants’ mental health, social lives and worries for the future, the findings of which have been published [40,41,42,43,44]. No formal piloting of the interview schedule took place, as it was deemed important for the study to commence as soon as possible to capture early experiences of the pandemic. However, the development of the topic guide was informed by emerging findings from the COVID-19 Social Study Survey and feedback from the MARCH Mental Health Research Network. Feedback from earlier interviews with participants was also incorporated, including the addition of more specific prompts on PA (prompts are shown in Figure 1) and a more streamlined approach to asking questions about pre- and post-pandemic activities. No repeat interviews were conducted, and no field notes were made during the interviews.
Interviews were audio recorded and transcribed verbatim by an external service with a UCL data sharing agreement. Transcripts were de-identified prior to analysis.

2.4. Analysis

Transcripts were analysed using reflexive thematic analysis [45] with a phenomenological approach, aiming to use lived experiences to evoke meaning and identification of themes [46]. Thematic analysis was selected due to its flexible nature which allows for inductive data-driven findings. Initially, transcripts were read by CR for familiarisation. Then, initial codes were generated inductively from a randomly selected sub-set of six transcripts, second coded by AB and AF. Coding was carried out independently before the researchers met to discuss initial codes and findings, and the concepts identified were generally consistent. Therefore, coding and the subsequent processes of thematic analysis as well as generation, reviewing and grouping of themes [47,48] were conducted for the remaining interviews by CR using Microsoft Excel and NVIVO12. NVIVO12 was used to code the qualitative interviews and to group the codes into broader themes. In this study, the coding process involved primarily attaching descriptive labels to the qualitative interviews. Following completion of this, themes were generated by exploring the codes and looking for similarities between them. Where similarities were identified between codes, these were then categorised into broader themes. Microsoft Excel was then used to organise the themes into barriers, facilitators or both depending on participant circumstance.
Themes were also grouped by their relation to physical or psychological capability, social or physical opportunity and automatic or reflective motivation [28]. The theoretical domains framework was used to support decision making on these COM-B groupings, a group of 14 theoretical domains which are linked to the COM-B model [49]. Upon finalisation of themes, CR reflected on which themes appeared important or not important within and across the different demographic groups.
The research team met regularly during the data analysis period. There were no significant disagreements between researchers throughout. Participants were not involved with the design, analysis, interpretation, or dissemination stages of this study.

3. Results

In total, 116 participants were included in the study: 71 (61%) were female, and the mean age was 50 years (SD = 20). See Table 2 for a breakdown by demographic group. Participants predominantly identified as ‘White British’ (71%), although a range of ethnicities was represented. Most participants were educated to degree level (73%). Mean interview length was 56 min (range = 14–149 min).
Four themes (with seven subthemes) were identified as either barriers or facilitators for PA depending on participant circumstances: importance of the outdoor environment, the impact of COVID-19 restrictions, fear of contracting COVID-19 and related complications and level of engagement with home exercise. Caring responsibilities and conflicting priorities were identified as a barrier. Finally, three facilitators/motivators included: PA as a method of socialising, establishing new routines and the importance of PA for protecting mental health.
The themes are visually mapped onto the COM-B model dimensions in Figure 2. Most themes were mapped onto the domains of physical opportunity and reflective motivation including importance of the outdoor environment, impact of COVID-19 restrictions, level of engagement with home exercise and caring responsibilities, and conflicting priorities. Establishing new routines and the importance of PA for protecting mental health related to reflective motivation alone. Fear of COVID-19 was mapped onto reflective and automatic motivation. Finally, PA as a method of socialising related to social opportunity. No themes related to physical or psychological capability.

3.1. Importance of the Outdoor Environment

The surrounding environment was key to many participants’ PA engagement and was one of the most important factors influencing PA. Garden access was a facilitator for exercise at home. Many participants described their local environment as a barrier or facilitator to PA depending on the surroundings and ability to socially distance. The weather was also raised as a key influence.

3.1.1. Garden Access

For some participants, garden access provided an opportunity to engage in PA, as gardening was used as a method of keeping active and occupied. Gardens also provided a space to exercise, which was particularly helpful for those who were clinically vulnerable:
“we’ve got two acres of garden…you have to put in a fair amount of work…the garden is really good for weightlifting and everything else”
(Age 55–59, LTC)
Conversely, lack of garden access served as a barrier to PA:
“Exercising has definitely been a problem, because of not being able to go out and being stuck in a small flat”.
(Age 35–39, LTC)

3.1.2. Living in Rural vs. Urban Environments

PA was easier for those living in rural locations, where activities such as walking were viewed as both exercise and an enjoyable activity:
“We live in a semi-rural (location) and we’ve got beautiful walks near us that are five minutes away. So, I’m exercising every day”
(Age 65–69, LTC)
Rural environments were also conducive to social distancing and enabled participants to feel safe engaging in PA:
“we’ve got a lot more green space. So, when I want to go for a jog I can still explore for ages and not see another human being. So, it feels safe…”.
(Age 25–29, MHC)
Spending time in nature and gratitude for the natural environment were comforts to some participants during a time of restriction, and this encouraged them to go outside:
“I want to get out and get fresh air, you can see the season changing.And first of all you had the bluebells, and now you’ve got the rhododendrons, and the birdsong was absolutely fantastic, because the weather was so good, and the birds were all building their nests and things”.
(Age 70–74, Older Adult)
This highlights that for some participants, observing seasonal changes in nature prompted engagement in PA.
In contrast, living in urban environments was a barrier to PA and provided less physical opportunity due to a lack of open public spaces, limited garden access and crowded environments that were not conducive to social distancing:
“They’re all terraced houses here. Everyone lives on top of each other. It just isn’t possible to go out and try and exercise while socially distancing”.
(Age 30–34, MHC)

3.1.3. Influence of Weather

Warm and sunny weather during the first UK COVID-19 lockdown facilitated PA, as activities such as walking were experienced as more pleasant:
“I can go for walks with friends…I haven’t taken advantage of that a lot recently, but I did when lockdown first came up, because the weather was nicer”.
(Age 45–49, Parent)
Others felt that the hot weather made exercise more difficult. One participant also reflected on how poor weather meant they reduced their PA:
“for the bit of March and April, and most of May, I was going out once every two days, sometimes if the weather wasn’t good, once every three days”.
(Age 65–69, LTC)

3.2. Impact of COVID-19 Restrictions

COVID-19 restrictions were a substantial barrier to PA for many participants. However, those with LTCs described being particularly impacted by the shielding advice and guidance to follow social distancing rules more stringently. Conversely, for some participants, restrictions provided a reason to go outside, which was particularly important for parents of young children who were working from home.

3.2.1. Government Guidance for Clinically Vulnerable Populations (Shielding Advice)

For some participants with a LTC and older adults, the ‘shielding’ advice prompted them to stay inside their homes for extensive periods of time, and some did not even use their gardens due to a literal interpretation of guidance:
“I got all the texts from the government telling me that I shouldn’t leave the house. And I shouldn’t even put the bins out, or go in the garden if anyone else was going to be around. And so I did follow that really strictly. I didn’t even go in the garden for about six weeks”
(Age 30–34, LTC)
Therefore, for clinically vulnerable populations, environmental facilitators such as garden access may not have been enough to offset the barrier of shielding for PA due to lack of clear guidance.
Shielding also restricted PA for participants’ family members:
“My mum’s been like, can I go for a walk? No, unfortunately, you can’t. If I can’t go for a walk, you have to live the same life as me, which means you can’t go for a walk”.
(Age 35–39, LTC)

3.2.2. Restrictions around Exercise

For those participants who regularly engaged in team sports and local groups before the pandemic, the closure of group sports activities was described as a barrier to PA:
“The one thing that’s been really affected lockdown for me was athletics. I do 400 m training, so I would run at the track in the evenings. However the UK Athletics when social distancing began, put in decisions to not allow sessions to be run in person anymore”.
(Age 20–24, Young Adult)
Legal restrictions during the pandemic also included enforced closure of sports facilities. Several participants spoke about how they previously used gyms but were unable to as gyms closed:
“So obviously my gym closed down so I didn’t do any of that”.
(Age 18–19, Young Adult)
Therefore, participants had a reduced opportunity to engage in PA, as their usual resources for exercising were removed. Some participants also shared a feeling of confusion towards the national restrictions and felt that the fear of being punished for not following guidance impacted their enjoyment of PA:
“I drove to a park a couple of times and ran around there, but I think there was such public controversy about people driving to other areas that it just made it really not enjoyable”.
(Age 30–34, MHC)
“I should be playing tennis now…you can only play singles unless you’ve got four in the same household…You rely on somebody else then, to find somebody else to play singles with you, when you’re on your own…And I haven’t found anybody yet…So, confusing, shall we say?”
(Age 70–74, Older Adult)

3.2.3. Government Guidance to Work from Home

For some participants, pandemic restrictions or shielding guidance for people with LTCs meant that they had to work from home. This was referred to as a barrier to PA by each group except older adults who were mostly retired. Some participants felt that working from home also led to less incidental PA:
“I had started to gain weight at the beginning of the lockdown, and I realised the very little exercise that I was doing before was the walking to my (university) classes or walking to travel to my classes”
(Age 20–24, Young Adult)
Therefore, as participants had a reduced necessity to engage in PA during the pandemic, this contributed to reduced activity levels. However, in some cases, working from home led to having more time for PA due to less work-related travel and commuting:
“[it’s]…also about having more time. Because my partner would have been sat in an office four days a week nine to five, I would have been doing bits of travelling for my work, sometimes leaving early, coming home late”.
(Age 35–39, Parent)

3.2.4. A Reason to Leave the Home

Some people described engaging in PA to alleviate boredom at home and viewed exercise as a form of escapism from the ‘stay at home’ order:
“I guess the exercise was just as much for getting out as it was for exercise”.
(Age 30–34, Parent)
“we’ve all made sure we do something outside of our four walls, even if it’s a school run, it gets you out of the house, gets you walking”
(Age 40–44, Parent)
Therefore, for individuals who were not motivated to engage in PA for health and fitness, motivation came from wanting to be outside of their homes and to spend time alone:
“I remember the first time I just went for a run on my own, and I was like, oh, it’s just so nice, 40 min”
(Age 35–39, Parent)
Furthermore, for some participants, restrictive guidance to exercise once per day actually led to increased PA:
“It was easy before to say, I’ll go for a walk tomorrow, whereas now it’s a bit like the forbidden fruit, isn’t it? You’re not allowed out except for one walk so you make sure you get out for that walk”.
(Age 70–74, Older Adult)

3.3. Fear of Contracting COVID-19

Fear of contracting COVID-19 and transmitting the virus to others was described as a barrier to PA, particularly for those living with LTCs and MHCs:
“It worries me a lot, other people getting ill as a result, maybe if I got it, I could carry it, transmit it to other people. So, I thought no, I will stay at home…I won’t go outside whatsoever”.
(Age 20–24, MHC/Young Adult)
Conversely, some participants were motivated to keep fit due to fear of COVID-19 related health issues. For example, one individual increased their PA to improve their health specifically in response to the pandemic:
“obviously the pandemic is a health thing. It just made me realise how important it is to look after yourself”.
(Age 25–29, MHC)
This feeling was heightened for those with increased health risk from COVID-19 due to pre-existing LTCs:
“when the news came out about the greater risks (of COVID-19) for diabetes, I’ve switched to going (walking) every day, unless I absolutely can’t”.
(Age 65–69, LTC)

3.4. Level of Engagement with Home Exercise

Closures of sports facilities and cancellation of group sports meant that some participants turned to alternative means of exercise by attending online exercise classes and purchasing exercise equipment. This was mentioned by all groups but was particularly important for people with LTCs.
Some individuals made significant use of online exercise resources during the pandemic:
“Obviously we took the classes online, which has been fantastic…It’s as wonderful as if we were all in the class together, it’s been great”.
(Age 65–69, LTC)
Therefore, greater awareness, access and use of online PA resources during the pandemic may have provided an opportunity to engage in new types of PA. Additionally, for one participant, online classes were easier to access:
“Pilates was run at my office, but that was full. So, I couldn’t get a place, but when it went online, she had more capacity, so I could actually do it”.
(Age 45–49, Parent)
Furthermore, some participants purchased exercise equipment which facilitated PA engagement when exercise facilities closed:
“When we realised that lockdown was coming, we went and bought the Pilates machine because we used to go to a weekly one to one Pilates class locally”.
(Age 60–64, LTC)
However, making use of virtual classes and home exercise equipment was not a viable option for all participants:
“I did look into getting an exercise bike. It was delivered and…downstairs came upstairs to complain about that”.
(Age 40–44, MHC)
“My daughter was supposed to do a virtual dancing, but I ruled it out straight away because of the fact that we’re in such a small property, with so many of us”.
(Age 30–34, Parent/MHC)
Therefore, living circumstances prohibited some individuals from using home exercise equipment and attending virtual classes. Some also felt that virtual classes failed to replicate the in-person experience, which affected their engagement:
“I tried to do Tai-Chi with my teacher, an online link and video. But it just is not the same. So, I stopped doing that”.
(Age 35–39, Parent)

3.5. Caring Responsibilities and Conflicting Priorities

Parents of young children had increased caring responsibilities during the pandemic due to school closures and lack of childcare and mentioned this as a barrier to PA:
“So, previously, I could take my daughter to a breakfast club very regularly, and that would allow me to go to the gym before work…therefore it started to become very difficult without a breakfast club”.
(Age 45–49, Parent)
For some, having greater demands on their daily lives due to lack of childcare meant that PA was deemed less important than other tasks:
“I used to run a lot…Since not having an au pair it’s been more difficult. I started running again but it’s just having the time. There’s something’s got to give in a day and it’s usually not having time to do the garden or not going for a run if I’ve got things to do”.
(Age 45–49, Parent/LTC)
Furthermore, some felt that working from home led to them spending more of their free time catching up on work tasks which reduced time for PA:
“there has been a difficulty of separating work from home…You keep thinking, just one more email that I really need to respond to and that just snowballs. You just don’t know when to stop”.
(Age 40–44, LTC)

3.6. PA as A Method of Socialising

For some participants, the inability to continue with usual ways of socialising (e.g., visiting people’s homes and hospitality venues) during the pandemic led to using walking with others as a way of socialising. Parents and younger adults described using PA as a reason to socialise with others:
“I was going to circuit training once, two days a week…It was more for the social side of it rather than fitness”
(Age 20–24, Young Adult)
“I’ve got a friend who just lives across the railway tracks and we meet up quite frequently because it’s just a case of just walking up the road and we can meet at the canal and go for a walk”.
(Age 30–34, Parent)
For some participants, using walking to socialise led to increased PA:
“Walking has become a massive thing…I try to go for a walk at least every day, I’ve never done that before. So, we’ve found other ways that we can socially interact or meet up with each other, rather than just sitting in the pub”.
(Age 40–44, MHC)
In addition, moves to online delivery of exercise classes and clubs meant that participants were able to socialise while exercising:
“I’ve done the Keep Fit, and other people from work do it as well, so we see each other on Zoom and we laugh about it”.
(Age 50–54, LTC)

3.7. Establishing New Routines

The use of routine as a facilitator for PA was mentioned across all groups except young adults. Several individuals reported making walking a part of their daily routine during the pandemic. One participant shared:
“…actually getting out for exercise on a daily basis becomes more of a part of what we do”.
(Age 70–74, LTC)
This may have also improved participants’ health and fitness:
“And I took up the walking locally. I would just leave my house, walk up the road, round the block and come back for 20 min initially, and then gradually increased that to the point where I’m now doing up to an hour”.
(Age 80–84, Older Adult)
Furthermore, those who established new habits and increased their PA suggested that they may be more likely to exercise as restrictions eased:
“I wonder if this is something that we will take post-pandemic because now having exercised every day feels like it’s an absolute must have”.
(Age 35–39, Parent)

3.8. The Importance of PA for Protecting Mental Health

Many participants felt that PA had a positive effect on their mental health during the pandemic. This was one of the most important facilitators for most of the demographic groups, apart from older adults who referred to this less frequently.
Some felt that the positive effect of PA on mental health was particularly relevant when having to work from home, as walking gave a structure to their day:
“I did go out for the once a day exercise. I usually tried to do it after work just to give me that break to change from my mindset from work mode to coming back to relaxing”.
(Age 20–24, Young Adult)
Furthermore, some participants also described feeling overwhelmed by home confinement which was managed by PA:
“I think that’s why my mental health’s been kind of okay after those few weeks when we started going out for a walk, because it was too much to just be totally indoors”
(Age 30–34, LTC)

4. Discussion

This study aimed to explore barriers and facilitators to PA among different demographic groups whose PA was likely affected by the COVID-19 pandemic, based on previous research and pandemic restrictions. The study was conducted to give context to existing quantitative research and aimed to map identified barriers and facilitators onto the COM-B model to inform intervention development for protecting PA levels in the current pandemic environment, and during future lockdowns and pandemics.
Most themes primarily mapped onto the physical opportunity and reflective motivation COM-B domains. No themes related to capability for PA. These findings are consistent with a survey study on determinants of PA during the COVID-19 pandemic, which found that physical opportunity and reflective motivation were the most consistent predictors of behaviour [50]. Knight et al. (2021) also found that many themes related to physical opportunity [31]. However, they also found that several themes mapped onto physical or psychological capability. The difference in findings for the present study may be explained by the fact that Knight et al. (2021) looked at secondary data from quantitative studies [31], meaning an understanding of what underpinned apparent relationships was limited. For example, the reported association between mental health difficulties and reduced PA may be explained by fear of contracting COVID-19 (automatic and reflective motivation), rather than a lack of psychological capability.
In the present study, a key theme was the importance of the outdoor environment. Garden access was helpful for PA, with lack of garden access hindering PA, which aligns with previous research findings [26]. Furthermore, those living in rural areas reported that these surroundings were conducive to PA engagement, compared with urban areas with greater population density and higher COVID-19 infection rates [24,31,51,52,53]. However, the present study builds on previous findings, as insights were provided from those who felt that living in/near rural locations benefited their PA levels, as they were able to follow social distancing guidance. Furthermore, some participants highlighted that connection with nature and enjoying seasonal changes to their environment and wildlife encouraged them to go outside and engage in PA. Therefore, it may be helpful for future pandemic guidance to encourage the use of gardens and local open spaces as helpful environments for PA. Additionally, future guidance could differ regionally so that those living in urban areas without garden access are allowed to travel further to exercise safely. Any such guidance would need to be carefully constructed with key stakeholders (e.g., members of the public, local councillors, public health experts and national policy makers) and disseminated consistently via local and national media campaigns to avoid confusion and conflict between members of the public living in and travelling between different regions. Alternatively, the UK may also benefit from adopting some PA promotion initiatives such as video guidance for exercising at home and outside under pandemic restrictions, as well as promotion of PA virtual resources. Virtual PA guidance and resources should consider accessibility (e.g., subtitles, audio description, varied exercises at different levels of difficulty including seated activities for less physically able individuals). Use of different platforms for online PA may also be important. Specifically, provision via videoconferencing (e.g., Zoom) is beneficial for social support, but pre-recorded formats may be important for others who prefer to exercise alone, or for those who may struggle with videoconferencing due to lack of confidence, IT knowledge or poor internet connection [54]. Supplementary written guidance on how to access virtual resources may also be an important consideration.
Participants also felt that COVID-19 restrictions were an important factor for explaining changes in their PA levels, which relates to prior research findings [23,25,26,27,31]. However, the current study develops these findings by highlighting that those with LTCs were particularly impacted by restrictions due to shielding guidance. In future pandemics, it may be useful to advise vulnerable groups on how they can maintain their PA in a safe way (e.g., exercising within the home and in gardens, using virtual resources or home exercise equipment etc.). Furthermore, an individual in our study who was advised to ‘shield’ reported not even going into their garden, which suggests that clearer guidance around the relative safety of using well-ventilated areas for PA is key. Furthermore, this study showed that PA as a reason to leave the home was particularly key for parents of young children who were working from home, as it provided an opportunity to be outside and spend time alone. Therefore, to engage parents who struggled to make time for PA during the pandemic due to increased caring responsibilities, future interventions may benefit from offering incentives for those who commit to engaging in PA, in line with the Vitality Active Rewards intervention [55], or from providing further guidance on how to exercise with children.
The importance of PA for protecting mental health was a common facilitator in this study, which has also been identified by previous research [23,24,25]. However, our study also found that older adults referred to this less than the other groups. This could be explained by the pandemic potentially having a less significant effect on their mental health, or perhaps older adults were better able to cope with the effects of the pandemic [56,57]. Alternatively, this could be because mental health awareness and literacy are typically lower in these groups [58]. Education on the effect of the pandemic on mental health and the benefits of regular PA on mental health may be a helpful way to encourage at-risk populations to be more active. This is particularly relevant, as rates of mental health difficulties in the UK increased substantially during periods of heightened restrictions [59,60,61]. Therefore, consideration for how PA benefits MH during pandemics [62,63] may prevent additional burden on health services.
In addition, fear of contracting COVID-19 was an established barrier to PA [24,26]. However, our study demonstrated that this was a barrier particularly for those with LTCs and MHCs, who may subsequently benefit from targeted support around exercising at home. The current study also showed a new perspective: that some people with LTCs increased their PA due to the increased focus on public health and awareness around the effects of COVID-19 on LTCs. Therefore, modelling using examples of those with LTCs who increased their PA during the pandemic may be an effective way of encouraging other individuals with LTCs [28].
Finally, it is important to consider the merits and limitations of this study. Particularly, this study had a large sample size of 116 semi-structured interviews, which enabled inclusion of a broad range of views and experiences. Furthermore, three researchers met regularly throughout data analysis to discuss themes and to ensure that thematic analysis was applied appropriately. Thirdly, this study gives context to the quantitative findings relating to PA during the COVID-19 pandemic. Fourthly, in conjunction with the COM-B model [28], this study can be used to consider intervention components for increasing PA in future lockdowns and pandemics. Furthermore, some of the findings such as PA protecting mental health and PA as a way of socialising are useful promotional messages for the wider benefits of engaging in PA outside of pandemic times. Therefore, the findings of this study can be disseminated via local and national public health media campaigns that focus on the wider benefits of exercise for wellbeing and via local sport and PA networks. However, this study also has several limitations. First, the interviews were with individuals who were predominantly female, white British and educated to degree level, which all limit the range of perspectives represented. The use of online and telephone interviews may also have excluded those who did not have online access. Additionally, as the CSS focused on broader mental health effects of the pandemic on several aspects of life, the depth of reflections relating to PA may be limited; however, all participants were explicitly asked to reflect on their PA both before and during the pandemic.

5. Conclusions

In conclusion, this study is the first to explore barriers and facilitators to PA for different demographic groups during the COVID-19 pandemic and to map these onto a theoretical framework to aid understanding of PA behaviours and to inform future interventions. Future interventions should aim to harness the facilitating factors and off-set barriers to PA with strategies including improving access to home exercise resources, tailoring PA guidance for areas with higher population density and providing education on the positive physical and mental effects of PA. This could reduce further long-term health issues resulting from reduced PA and may be a protective factor against worsening mental health during times of social isolation.

Author Contributions

Conceptualization, C.R., A.F., D.F. and A.B.; methodology, C.R., A.F. and A.B.; validation, A.F. and A.B.; formal analysis, C.R.; investigation, C.R. and A.B.; resources, A.F. and A.B.; data curation, C.R.; writing—original draft preparation, C.R.; writing—review and editing, C.R., A.F., D.F. and A.B.; visualization, C.R., A.F., D.F. and A.B.; supervision, A.F. and A.B.; project administration, C.R. and A.B.; funding acquisition, D.F. All authors have read and agreed to the published version of the manuscript.

Funding

This study was funded by the Nuffield Foundation (grant WEL/FR-000022583), the MARCH Mental Health Network funded by the Cross-Disciplinary Mental Health Network Plus initiative supported by UK Research and Innovation (grant ES/S002588/1), and the Wellcome Trust (grant 221400/Z/20/Z). D.F. was funded by the Wellcome Trust (grant 205407/Z/16/Z). The funders had no say in the design and conduct of the study; collection, management, analysis and interpretation of the data; preparation, review or approval of the manuscript; and decision to submit the manuscript for publication.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki and was approved by the Institutional Review Board (or Ethics Committee) of UCL (protocol code 14895/005).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study. Written informed consent has been obtained from the patients to publish this paper.

Data Availability Statement

The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.

Acknowledgments

The authors would like to thank the participants from the COVID-19 Social Study and the organisations who supported recruitment. The researchers are also grateful to Alison McKinlay, Anna Roberts, Tom May, Jo Dawes, Sara Esser, Rana Conway, and Henry Aughterson who conducted the COVID-19 Social Study interviews.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Prompts from the CSS topic guide relating to pandemic-related changes in PA.
Figure 1. Prompts from the CSS topic guide relating to pandemic-related changes in PA.
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Figure 2. Themes mapped onto COM-B dimensions.
Figure 2. Themes mapped onto COM-B dimensions.
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Table 1. Timeline of COVID-19 restrictions in England 2020–2021. Restrictions were similar across all countries within the UK, but dates and precise details may vary. This table was created by the study authors using descriptions of the COVID-19 restrictions presented in publicly available UK Government guidance [34,35,36,37,38,39]. Contains Parliamentary information licensed under the Open Parliament Licence v3.0.
Table 1. Timeline of COVID-19 restrictions in England 2020–2021. Restrictions were similar across all countries within the UK, but dates and precise details may vary. This table was created by the study authors using descriptions of the COVID-19 restrictions presented in publicly available UK Government guidance [34,35,36,37,38,39]. Contains Parliamentary information licensed under the Open Parliament Licence v3.0.
DateTimeline of COVID-19 News and Restrictions
23 March 2020National lockdown begins. Legal exemptions for leaving home include essential shopping, going to work, medical reasons, exercising once per day.
10 May 2020Those who cannot work from home encouraged to return to work but avoid public transport. Unlimited outdoor exercise is permitted.
13 May 2020Outdoor recreation added as a legal exemption or leaving home. People allowed to meet someone from one other household outside.
1 June 2020‘Stay at home’ order removed. Outdoor gatherings of six people from different households permitted.
3 July 2020Local lockdowns are introduced for areas where the rates of positive cases of COVID-19 are higher.
14 September 2020Socialising is limited to groups of six people. Gatherings of above six people are banned.
14 October 2020Tier system is introduced where different regions of the country will live under different restrictions depending on local infection rates.
Tier 1 (medium alert)—Rule of six when socialising, work from home if possible.
Tier 2 (high alert)—Rule of six outside but no inside contact with other households, work from home if possible.
Tier 3 (very high alert)—Socialising with other households not permitted in most settings, work from home if possible, sports facilities are open but close contact sports should be avoided, indoor exercise only permitted with your household.
5 November 2020Second national lockdown begins.
2 December 2020End to national lockdown and return to tier system.
19 December 2020Tier 4 introduced—restrictions are similar to a lockdown with a ‘stay at home’ order, non-essential shops, hospitality and sports facilities are closed.
6 January 2021Third national lockdown begins.
8 March 2021Schools begin to reopen. Two people are permitted to meet for outdoor recreation.
29 March 2021Groups of six people or two households can meet outside. Outdoor sports facilities reopen.
12 April 2021Non-essential shops, outdoor hospitality and gyms re-open.
17 May 2021Groups of six people or two households can meet inside. Most indoor venues reopen.
19 July 2021Most COVID-19 restrictions end. -Self-isolation rules remain.
8 December 2021COVID-19 restrictions re-introduced in the UK as part of winter ‘Plan B’. These include working from home where possible, proof of vaccination or negative lateral flow test required for large gatherings and mandatory use of face coverings in most public indoor settings.
Table 2. Participant demographics for the current study.
Table 2. Participant demographics for the current study.
Young AdultOlder AdultMHCLTCParents of Young ChildrenTotal
Sample Size1620223325116
Gender
Male6 (37.50%)11 (55%)9 (40.91%)12 (36.36%)7 (28%)45 (38.79%)
Female10 (62.50%)9 (45%)13 (59.09%)21 (63.64%)18 (72%)71 (61.21%)
Age (years)
Mean21.0679.3043.2356.3640.3249.50
SD2.055.5014.0012.736.4920.00
Ethnicity
White British12 (75%)16 (80%)14 (63.64%)24 (72.73%)16 (64%)82 (70.70%)
White Irish001 (4.55%)02 (8%)3 (2.59%)
White and Asian002 (9.09%)1 (3.03%)1 (4%)4 (3.45%)
White and Black
Caribbean
1 (6.25%)001 (3.03%)02 (1.72%)
Black British
Caribbean
0002 (6.06%)02 (1.72%)
Black British African002 (9.09%)01 (4%)3 (2.59%)
Indian1 (6.25%)02 (9.09%)2 (6.06%)2 (8%)7 (6.03%)
Chinese00001 (4%)1 (0.86%)
Pakistani001 (4.55%)001 (0.86%)
Other2 (12.50%)4 (20%)03 (9.09%)2 (8%)11 (9.48%)
Education
No qualifications1 (6.25%)00001 (0.86%)
Post-16 vocational course002 (9.09%)002 (1.72%)
GCSE/equivalent03 (15%)1 (4.55%)3 (9.09%)1 (4%)8 (6.90%)
A-levels/equivalent9 (56.25%)1 (5%)5 (22.73%)5 (15.15%)020 (17.24%)
Undergraduate degree/professional qualification5 (31.25%)7 (35%)10 (45.45%)12 (36.36%)9 (36%)43 (37.07%)
Postgraduate degree1 (6.25%)9 (45%)4 (18.18%)13 (39.39%)15 (60%)42 (36.21%)
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MDPI and ACS Style

Roche, C.; Fisher, A.; Fancourt, D.; Burton, A. Exploring Barriers and Facilitators to Physical Activity during the COVID-19 Pandemic: A Qualitative Study. Int. J. Environ. Res. Public Health 2022, 19, 9169. https://doi.org/10.3390/ijerph19159169

AMA Style

Roche C, Fisher A, Fancourt D, Burton A. Exploring Barriers and Facilitators to Physical Activity during the COVID-19 Pandemic: A Qualitative Study. International Journal of Environmental Research and Public Health. 2022; 19(15):9169. https://doi.org/10.3390/ijerph19159169

Chicago/Turabian Style

Roche, Charlotte, Abigail Fisher, Daisy Fancourt, and Alexandra Burton. 2022. "Exploring Barriers and Facilitators to Physical Activity during the COVID-19 Pandemic: A Qualitative Study" International Journal of Environmental Research and Public Health 19, no. 15: 9169. https://doi.org/10.3390/ijerph19159169

APA Style

Roche, C., Fisher, A., Fancourt, D., & Burton, A. (2022). Exploring Barriers and Facilitators to Physical Activity during the COVID-19 Pandemic: A Qualitative Study. International Journal of Environmental Research and Public Health, 19(15), 9169. https://doi.org/10.3390/ijerph19159169

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