key: cord-0741862-eo3p6l2v
authors: Chapman, Justin J; Hielscher, Emily; Patterson, Sue; Reavley, Nicola; Brown, Wendy J; Wyder, Marianne; Childs, Sarah; Russell, Anneliese; Suetani, Shuichi; Scott, James G
title: Preferences of people with mental illness for engaging in exercise programs under COVID-19 restrictions
date: 2020-12-30
journal: Australas Psychiatry
DOI: 10.1177/1039856220975299
sha: a210b8c2cf11a42836e7604dfa45c4a1ff27cd98
doc_id: 741862
cord_uid: eo3p6l2v

OBJECTIVES: People with mental illness may be vulnerable to decline in mental health and reduced physical activity because of the COVID-19 pandemic and associated restrictions. The aim of this study was to inform the design of physical activity interventions for implementation under these conditions to improve/maintain well-being and physical activity in this population. METHODS: People with mental illness who had participated in a physical activity program prior to the pandemic were invited to complete a survey about the impact of COVID-19 on mental health and physical activity and their preferences for engaging in a physical activity program under pandemic-related restrictions. RESULTS: More than half the 59 respondents reported worse mental health and lower physical activity during the pandemic. The preferred format for a physical activity program was one-on-one exercise instruction in-person in a park. Program components endorsed as helpful included incentivization, provision of exercise equipment and fitness devices, and daily exercise programs. About a third of the participants reported limitations in using technology for a physical activity program. CONCLUSIONS: In-person exercise support is preferred by people with mental illnesses during pandemic-related restrictions. Enablement strategies such as providing equipment and self-monitoring devices should be utilized; assistance may be needed to incorporate the use of technology in exercise programs.

spread of the virus have resulted in substantial decreases in PA globally, 2 with negative impacts on the mental health and well-being of the population. 3 People with mental illness may be particularly vulnerable; a recent study reported that distress was heightened in people with mood disorders compared with people without mental illness, and that distress was highest in people who reported lower PA during the pandemic. 4 PA can improve symptoms of many mental illnesses, 5 and supporting people with mental illness to maintain PA through the pandemic is essential to promote physical and mental well-being and prevent widening of health inequalities. 6 PA interventions can be adapted for delivery under pandemic-related restrictions by using telehealth services or other methods; however, little is known about their design and implementation for people with mental illness under such conditions. It is foreseeable that until a vaccine is available, Australia will be subject to fluctuating community restrictions disruptive to usual program delivery. This study aimed to inform exercise program design and implementation for people with mental illness during pandemic-related restrictions. The primary objective was to profile mental health, changes in PA levels, access to resources for exercise programs, and preferences and opinions for engaging in PA programs under pandemic-related restrictions.

This was a questionnaire-based cross-sectional study of people with mental illness who had, prior to the pandemic, participated in a community exercise program. Ethical approval was obtained from the QIMR Berghofer Medical Research Human Research Ethics Committee (P3616).

Potentially eligible individuals were identified from a register of participants of community-based lifestyle programs at the Queensland Police-Citizens Youth Welfare Association in Australia. Participants of these programs were (i) aged over 18 years and (ii) referred to the program from public mental health services, mental health nongovernment organizations, and private or general practice clinics. The lead author (JC) contacted potentially eligible individuals, and emailed or text messaged the link to the online survey to those who agreed to participate. Completing the survey implied consent for participation. Participants were offered a $20 gift card for completing the survey. Survey responses were received in May 2020, during which time outdoor gatherings of up to 10 people were permitted in Queensland, Australia (reinstated 15 May).

Self-reported sociodemographic (age, sex, education, employment status, financial management, Aboriginal and Torres Strait Islander identification), psychosocial (psychological distress and loneliness), and health information (mental and physical health diagnoses assessed using multi-choice and open-text response), and information on usual PA before and after COVID-19 were collected. Outcome measures are outlined in Table 1 .

Summary statistics are presented for all measures. Estimates for weekly exercise were calculated by multiplying the number of reported exercise days by the duration of exercise and dichotomized into sufficiently or insufficiently active (exercising more or less than 150 min/week, respectively). A related-samples McNemar test was used to test for differences in PA participation before and during COVID-19. All analyses were conducted in SPSS v23.

Most of the 59 respondents (58%) reported that their mental health was negatively affected by COVID-19, with about one-fifth (19%) reporting much worse mental health. Most (n = 40; 68%) had high psychological distress (mean = 17.4; standard deviation [SD] = 6.11), and one-third (34%) had the highest loneliness rating. Health and demographic statistics are shown in Table 2 .

A total of 30 (51%) respondents reported exercising at least 150 min/week before COVID-19, which reduced to 12 (20%) during COVID-19. High-intensity exercise was reported by 32 participants before COVID-19 (mean = 107 min/week; SD = 149 min/week), and by 21 participants since COVID-19 (mean = 41 min/week; SD = 68 min/week). A related-samples McNemar test confirmed that the reduction in participants exercising at least 150 min/week and those doing any high-intensity exercise was statistically significant (p = .001 and p = .013, respectively).

When asked about access to equipment that could be used for PA, most respondents reported not having a pedometer (80%), fitness tracker (76%), or equipment for aerobic (76%) or resistance exercise (63%); however, most said they have enough space for home-based exercise (63%). A high proportion of respondents reported having a phone (95%) or smartphone (90%); fewer reported having a computer (68%) or tablet (44%). However, only 63% reported having an internet connection suitable for supporting video streaming or calls (85% had internet connection, 74% of whom had a suitable internet connection).

A high proportion of respondents disagreed that they were as active as they would like to be (83%). Reported self-efficacy for exercise was low: 64% disagreed that they would be confident exercising on their own and 76% disagreed that they could make themselves exercise if having a bad day. When asked about confidence in using online mediums for exercise support, about a quarter of those with an internet connection reported being not at all confident in their ability to access exercise videos (26%), use video messaging services (24%), or use smartphone applications related to exercise (30%).

In relation to exercise program formats, one-on-one exercise instruction outdoors in a park was the most preferred (81%); other formats were endorsed by fewer than 40% of participants. The most disliked suggestions were one-on-one exercise instruction via video and group educational sessions over phone or video (41% and 42%, respectively); results are provided in Table 3 . Program components endorsed as helpful included: incentives (e.g. gift cards; 73%), having home exercise equipment delivered (69%), the use of fitness devices (e.g. monitors and trackers; 63%), use of phone apps (56%), and having daily exercise programs sent to them (54%). The involvement of social media had the highest unhelpful rating (34% rated unhelpful); results are provided in Table 4 .

The COVID-19 pandemic has had a major impact on society. Participants in this study had high psychological distress and loneliness and reported worse mental health and lower PA during the pandemic. Limited access to resources must be considered in design of PA interventions. Relatively low access to exercise equipment and a suitable internet service in this group limits the potential for remote interventions (e.g. telehealth) to enable homebased exercise. Interventions employing online mediums for people with appropriate internet access should include assistance to establish the service (e.g. set up user accounts) and navigate applications; however, other mediums are required to reach people with unsuitable internet access, which may be pertinent to rural communities. Participants perceived use of fitness trackers or phone apps for self-monitoring as helpful program components; however, low ownership of fitness devices and low confidence in using technology imply that more practical support would be required to incorporate these components. This is consistent with a recent survey study demonstrating high smartphone ownership but low app usage in people with mental illness, 10 and that m-Health and wearable technologies are feasible when ongoing individual technical assistance is provided. 11 Practical support and enablement strategies were preferred, consistent with research related to exercise preferences during non-pandemic conditions. 12 Although internet or phone formats would arguably reduce chances of virus transmission, participants still prefer in-person support such as one-on-one exercise instruction. Education strategies to encourage family or carers of people with mental illness to provide in-person exercise support (e.g. accompaniment while walking) could be effective. Helpful program components included incentives (e.g. gift cards),

The impact of the COVID-19 pandemic and associated restrictions on mental health was assessed using the question: How has your mental health and well-being been affected by COVID-19 pandemic and associated restrictions?; responses on a five-point scale (much worse, somewhat worse, about the same, somewhat better, much better) K6: The six-item K6 was used to assess general psychological distress experienced in the past month using a five-point scale; scores over 15 indicate high distress 7 Three-item loneliness scale: Participants were asked how often they feel (i) that they lack companionship, (ii) left out, and (iii) isolated from others; responses on a three-point scale (hardly ever, some of the time, often) 8 

The 4-PAQ was adapted from the PAVS questions 9 which ask about physical activity completed in the previous week. The 4-PAQ was adapted to ask about average exercise participation rather than previous week and to distinguish highintensity exercise. PA questions specified time periods before and after "COVID-19 and associated restrictions" Exercise preferences and opinions: To assess preference for the format of an exercise program, participants were asked: If you had a free exercise program available during current COVID-19 restrictions, what format would you like? To assess opinions on what would be helpful components of such an exercise program (e.g. use of diaries, fitness trackers, incentives, etc.), participants were asked: If you had a free exercise program available during current COVID-19 restrictions, what would you find helpful? Resource access and self-efficacy: Access to resources (technology and exercise related) was assessed using 11 items, with yes/no responses. As a measure of self-efficacy, participants were also asked about their confidence to use technology (to use online videos, video messaging services, phone apps), and confidence in exercising on their own, or if having a bad day Note. 4-PAQ = four-item physical activity questionnaire, K6 = Kessler-6 scale of psychological distress, PAVS = Physical Activity as a Vital Sign.

home exercise equipment delivered, use of fitness devices or phone apps for self-monitoring, and daily exercise programs sent to them. Providing home exercise equipment combined with prescribed exercise programs to utilize the equipment could enable home-based exercise and facilitate skill building.

Limitations of this research are a small sample that limits generalizability and lack of clinically confirmed diagnoses or other information relevant to condition (e.g. functioning, stage of illness). Participants were recruited from a register of previous exercise participants with the view of informing program adaptation for pandemic-related restrictions.

People with mental illness may be vulnerable to decline in mental health and lower levels of PA because of the COVID-19 pandemic and associated restrictions. Members of this group want to be more active and prefer in-person exercise support during government-imposed restrictions. Participation in PA can be promoted by incentivization, enablement via provisions of equipment and professional instruction, and self-monitoring strategies. A high proportion of people with mental illness own smartphones, which could be utilized in exercise interventions for selfmonitoring or exercise instruction; however, there may be problems with internet limitations, and some may need additional support because of low confidence in using this medium.

JJC is employed by PCYC Queensland as a program manager for the Healthy Bodies, Healthy Minds program, from which the register of potential study participants was accessed. JGS is supported by a National Health and Medical Research Council Practitioner Fellowship (APP1105807).

Physical activity: health impact, prevalence, correlates and interventions

Worldwide effect of COVID-19 on physical activity: a descriptive study

Multidisciplinary research priorities for the COVID-19 pandemic: a call for action for mental health science

Mental health status of individuals with a mood-disorder during the COVID-19 pandemic in Australia: initial results from the COL-LATE Project: COVID-19 and mood disorders

Do we need physical activity guidelines for mental health: what does the evidence tell us?

Addressing the public mental health challenge of COVID-19

Screening for serious mental illness in the general population

A short scale for measuring loneliness in large surveys: results from two population-based studies

Physical activity as a vital sign in patients with schizophrenia: evidence and clinical recommendations

Mental health mobile phone app usage, concerns, and benefits among psychiatric outpatients: comparative survey study

Feasibility of popular m-health technologies for activity tracking among individuals with serious mental illness

Physical activity preferences, motivators, barriers and attitudes of adults with mental illness

The authors received no financial support for the research, authorship, and/or publication of this article.

Justin J Chapman https://orcid.org/0000-0002-2958-2783Shuichi Suetani https://orcid.org/0000-0002-2487-5691James G Scott https://orcid.org/0000-0002-0744-0688