This paper is in the following e-collection/theme issue:

Early Results from COVID-19 Studies (309) JMIR Theme Issue: COVID-19 Special Issue (2461) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) Outbreak and Pandemic Preparedness and Management (1743) Infectious Diseases (non-STD/STI) (1592) Depression and Mood Disorders; Suicide Prevention (1392) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1565) Web-based and Mobile Health Interventions (3357) Telehealth and Telemonitoring (1713) Anxiety and Stress Disorders (1081)

Published on in Vol 6, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35776, first published .
A Brief, Daily, Online Mental Health and Well-being Intervention for University Staff During the COVID-19 Pandemic: Program Description and Outcomes Using a Mixed Methods Design

A Brief, Daily, Online Mental Health and Well-being Intervention for University Staff During the COVID-19 Pandemic: Program Description and Outcomes Using a Mixed Methods Design

A Brief, Daily, Online Mental Health and Well-being Intervention for University Staff During the COVID-19 Pandemic: Program Description and Outcomes Using a Mixed Methods Design

Authors of this article:

Alexandra Parker1, 2 Author Orcid Image ;   Sarah Dash1 Author Orcid Image ;   Matthew Bourke1 Author Orcid Image ;   Rhiannon Patten1 Author Orcid Image ;   Melinda Craike1, 3 Author Orcid Image ;   Peter Baldwin1, 4 Author Orcid Image ;   Warwick Hosking1 Author Orcid Image ;   Itamar Levinger1, 5 Author Orcid Image ;   Vasso Apostolopoulos1 Author Orcid Image ;   Maximilian de Courten3 Author Orcid Image ;   Jenny Sharples1 Author Orcid Image ;   Monika Naslund1 Author Orcid Image ;   Vasileios Stavropoulos1 Author Orcid Image ;   Mary Woessner1 Author Orcid Image ;   Christopher Sonn1 Author Orcid Image ;   Caroline Stansen1 Author Orcid Image ;   Michaela Pascoe1, 6 Author Orcid Image
Article Authors Cited by (3) Tweetations (12) Metrics

    Original Paper

    1Institute for Health and Sport, Victoria University, Melbourne, Australia

    2Orygen, Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia

    3Mitchell Institute, Victoria University, Melbourne, Australia

    4Black Dog Institute, Sydney, Australia

    5Australian Institute for Musculoskeletal Science, Department of Medicine, Western Health, Melbourne Medical School, University of Melbourne, Melbourne, Australia

    6Peter MacCallum Cancer Centre, Melbourne, Australia

    Corresponding Author:

    Alexandra Parker, BA, MPsych, PhD

    Institute for Health and Sport

    Victoria University

    Ballarat Road

    Melbourne, 3011

    Australia

    Phone: 61 399195874

    Email: alex.parker@vu.edu.au


    Background: The unprecedented changes and isolation measures to contain COVID-19 have had multiple psychological and social impacts, with implications for professional and personal functioning. Evidence-informed interventions that can be rapidly implemented under pandemic conditions to support mental health during such times are urgently needed.

    Objective: The aim of this study was to determine the acceptability and preliminary outcomes of a daily online mental health promotion program for tertiary education staff during the COVID-19 pandemic.

    Methods: The “Victoria University (VU) Elevenses” program was delivered as an uncontrolled intervention at Victoria University (VU) in the western metropolitan region of Melbourne, Australia. In April 2020, an email invitation was sent to all academic and professional staff inviting them to: (1) participate in the program and (2) opt-in to the research component. The “VU Elevenses” program provided 10-15–minute microinterventions comprising lifestyle and well-being strategies to promote mental health via an online meeting platform at 11 AM each weekday. A mixed methods approach was used to evaluate the program, combining structured questionnaires with semistructured interviews to investigate the experiences of staff who participated in the program.

    Results: Between 16 and 90 participants provided weekly program feedback. A total of 106 university staff opted into the longitudinal research component and 10 staff participated in the interviews. Participants reported high levels of satisfaction with sessions and perceived benefits for mental health. Approximately one quarter of participants reported moderate to severe symptoms of depression, anxiety, and stress at baseline, with significant reductions in these symptoms in the first 7 weeks of the program, corresponding with easing in mandatory isolation (“lockdown”) restrictions. Symptoms of depression, anxiety, and stress all increased when lockdown measures were reintroduced, but not to the same levels as found during the initial lockdown period. Overall changes in depression and anxiety from baseline to the end of the program were explained by changes in COVID-19–related distress, whereas changes in self-compassion explained changes in stress.

    Conclusions: We show that it is feasible and acceptable to develop and deliver a program of brief interventions in a timely manner, using a simple and accessible online platform. Although participation in the program was initially associated with reduced symptoms of depression, anxiety, and stress, participants’ mental health worsened with the reintroduction of a “lockdown” period. However, as symptoms of depression, anxiety, and stress did not return to levels observed at the start of the VU Elevenses program, participation in the uncontrolled intervention may have offered a protective benefit against the impact of the second significant lockdown period.

    JMIR Form Res 2022;6(2):e35776

    doi:10.2196/35776

    Keywords

    workplace mental health; well-being; mental health promotion; online intervention; telehealth; COVID-19 pandemic; COVID-19; pandemic; health promotion 


    The Australian national response to the global pandemic of COVID-19 has been consistent with international approaches recommending or mandating physical distancing and self-isolation. Psychological and social risks associated with this period of rapid change and uncertainty included the inability to access workplaces; educational institutions; and social, cultural, and sporting events. Psychological stressors include concerns about income, job insecurity, and changes to work practices (eg, remote working, reduced hours, or loss of job), with nearly one third of Australians reporting worsening household finances due to the COVID-19 pandemic during 2020 [1]. Additional health-related anxiety for self and loved ones, the complexity of caring responsibilities (including remote learning/schooling from home), potentially unsafe home environments, and the impacts of social isolation [2] contributed to significant increases in rates of psychological distress compared with Australian national data from 2017 to 2018 [1,3]. Findings from a survey from the beginning of the pandemic of almost 1500 Australian adults indicated that more than 1 in 4 respondents reported depression scores that were moderately to extremely severe, and approximately 1 in 5 had moderately to extremely severe stress during the period of peak COVID-19 self-isolation and physical distancing requirements [4].

    Structure and consistency in everyday life are important in preserving mental well-being during enforced periods of self-isolation and uncertainty [5]. Using helpful coping strategies, maintaining daily structure, and staying connected were consistently endorsed by national (eg, Beyond Blue [6]) and international (eg, [5]) health organizations as critical to maintaining mental well-being during the COVID-19 crisis. Further, the delivery of psychological interventions and interactions via online meeting platforms [7], and brief, targeted interventions for well-being have been shown to be effective in promoting mental health in clinical and nonclinical adult populations [8-10]. To promote and maintain physical and mental well-being for staff of a tertiary education institution during the COVID-19 pandemic, we delivered an evidence-informed, timely, accessible, responsive online intervention comprising brief, daily (weekday) microinterventions and strategies targeting six essential lifestyle areas for well-being (healthy eating, physical activity, reducing alcohol intake, improving sleep, healthy relationships and social connection, and stress management) [11]. In deference to the warmth, comfort, and connection shared over a cup of tea and sticky bun (ie, morning tea referred to as “elevenses”) between Paddington Bear and his dear friend, Mr Gruber [12], our program was titled the “Victoria University (VU) Elevenses.” The aim of this study was to determine the acceptability of the program; assess changes in stress, depressive, and anxiety symptoms in program participants over time; and determine mediators of change in symptoms of stress, depression, and anxiety from baseline to the endpoint of the program.


    Setting

    The study was conducted at Victoria University (VU) in the western metropolitan region of Melbourne, Australia. VU has eight Victorian campuses, with 1994 academic (teaching and research) and professional staff, 988 sessional staff (academic and polytechnic teachers), and 598 casual professional staff. Among the total VU staff, 59.64% (2135/3580) identify as female.

    Participants

    All staff received an email invitation to participate in the online program and to opt-in to the research component. All staff were eligible to participate in the program, with no exclusion criteria or minimum attendance requirements. Using the general university mailing list, invitations to join the daily online sessions were issued over the first 2 weeks of the program, with staff asked to opt-in via email to receive ongoing meeting invitations. At the end of the program, all those who opted in to meeting invitations (17.93%, 642/3580) were invited by email to participate in the semistructured interviews.

    Ethics Approval

    All procedures involving human participants were approved by the Victoria University Human Research Ethics Committee (HRE20-054) and complied with the ethical standards of this institutional committee.

    Research Design

    This study followed a mixed methods design. A repeated-measures within-subjects design was used to collect data on mental health outcomes and potential mediators of change from baseline to 32 weeks after program commencement. Initially, it was planned that follow-up assessments would occur every 3 weeks. However, given that the program ran longer than anticipated due to Melbourne’s extended lockdown period, the repeated-measures time points became longer as the program progressed to reduce participant burden. Additionally, brief weekly questionnaires were used to determine the acceptability of the program over the first 13 weeks of the program. At the end of the program, we also conducted in-depth semistructured interviews in a small sample of participants to explore their experiences with VU Elevenses.

    Intervention Program

    The “VU Elevenses” program focused on mental health promotion, including universal, selected, and indicated prevention strategies [13]. Participants were provided information on how to access mental health treatment from existing internal (ie, Employee Assistance Program) and external (ie, Beyond Blue, headspace, Black Dog Institute, Lifeline, Relationships Australia, Family Relationships Advice Line) sources, as the “VU Elevenses” program was not designed to be a treatment for mental health conditions. The program was aligned with the VU Employee Wellbeing Policy [14].

    The “VU Elevenses” program comprised brief (10-15 minutes), evidence-informed microinterventions and strategies to promote physical and mental well-being, utilizing an online meeting platform at 11 AM each weekday. The intervention had three main phases: (1) managing immediate concerns and stressors, (2) adjusting to working and studying remotely, and (3) preparing to return to work and study on campus. The design and implementation of the program were guided by the principles of inclusivity and accessibility, responsiveness, consistency, and connectedness. The sessions were live and unpolished to maintain authenticity and connection, and to allow for the rapid sharing of evidence-based clinical content for mental health and well-being support.

    A collective of VU practitioners and researchers rotated and delivered interventions relevant to one of six identified lifestyle areas (healthy eating, physical activity, reducing alcohol intake, improving sleep, healthy relationships and social connection, and stress management) [15]. Each microintervention aimed to promote skill-building through simple mindfulness strategies, deep breathing exercises, relaxation exercises, time-management and routine-setting strategies, self-compassion strategies, physical activity guidance, sleep tips, nutrition advice, and fun activities for community connection (eg, quizzes and group singing sessions; see Table 1).

    Members of the program team planned the following week of microintervention content, resources, and presenters. Resources for further information (ie, fact sheets, websites, apps, YouTube clips, online interventions) and links to recordings were provided to participants for each daily session via VU’s intranet. The program was evaluated for 32 weeks, from April 2020 to November 2020, with sessions each weekday for the first 24 weeks, followed by three times per week for the final 8 weeks of the program.

    Table 1. Session content overview for the first three weeks of the “Victoria University (VU) Elevenses” program.
    DayaLifestyle intervention themeContentPresenterResources shared
    1Stress managementIntroduction to "VU Elevenses," psychoeducation on sympathetic and parasympathetic nervous systems, deep breathing exercise (box breathing)Clinical psychologist/research academicLinks to breathing apps, box breathing jpeg
    2Stress managementSimple mindfulness strategies (Notice 5 Things and Leaves on a Stream)Clinical psychologist/research academic

    		Links to mindfulness and meditation apps
    3RelationshipsManaging roles and responsibilitiesClinical psychologist/teaching and research academicLinks to resources for maintaining mental health and relationships when working from home (ie, Lifeline and Relationships Australia fact sheets)

    4Physical activityStretching exercises for shoulder, neck, and backAccredited exercise physiologist/research academicLinks to web pages of accredited organizations for home-based stretching exercises
    5Relationships (community connection)Online quiz (1908s music)Clinical psychologist/research academicNone
    6RelationshipsSchooling from homeClinical and community psychologist/teaching academicLinks to popular media articles with expert opinions on challenges of remote education
    7Stress managementResetting workload expectationsClinical psychologist/teaching and research academicLinks to popular media articles with expert opinions on academic expectations during COVID-19
    8Stress managementSelf-compassion meditationProbationary psychologist/teaching and research academicLinks to website for additional self-compassion resources
    9Physical activityExercise “snacking”: 5 minutes of light aerobic activitiesAccredited exercise physiologist/research academicLink to YouTube clip of 5-minute cardio work out
    10Relationships (community connection)Online quiz (general knowledge)Clinical psychologist/research academicNone
    11Stress managementProgressive muscle relaxationClinical psychologist/research academicLink to online audio clip of recorded progressive muscle relaxation
    12SleepGuidelines and tips to improve sleep qualityTeaching and research academicLinks to sleep guidelines and national Sleep Health Foundation
    13Stress managementManaging time and work commitments during changeClinical psychologist/research academicLinks to sprint technique (“Pomodoro”) and popular media article on time management
    14Physical activityExercise “snacking”: 10-15 minutes of resistance activitiesAccredited exercise physiologist/research academicLinks to web pages of accredited organizations for home-based stretching exercises and YouTube home workout clip
    15Relationships (community connection)Introduction to Indigenous mindfulness practices and connection to countryIndigenous Community Liaison Officer and licensed Wayapa practitionerLinks to Wayapa and YouTube clip from Victorian Aboriginal Heritage Council

    aDays 16-20 included healthy eating (nutrition and mental health), “desk yoga,” pleasant activity scheduling, exercise “snacking” (light aerobic activities), and a music sing-along.

    Outcomes

    Program Acceptability

    All participants were provided with a link to a brief survey at the end of each week for the first 13 weeks of the intervention. Participants were asked to provide weekly feedback on the acceptability of the intervention by answering the following questions on a scale from 1 (strongly disagree) to 7 (strongly agree): (1) “I am generally satisfied with the sessions this week,” (2) “I found the content helpful for my mental health and well-being,” and (3) “I felt more connected with my colleagues.” To measure engagement, each respondent was asked to report the number of live sessions they attended that week. Attendance at the daily sessions was assessed at week 1, week 16, and week 32 using the online meeting platform’s participant logs.

    Participant Experiences

    One-on-one semistructured interviews were conducted with a sample (n=10) of VU staff members who attended at least one VU Elevenses session, as previous research shows that data saturation for the most part occurs between 6 and 12 interviews [16]. Participants were prompted about their level of engagement, their overall perceptions of the program, and how useful they found the program. The full interview schedule can be seen in Multimedia Appendix 1.

    Mental Health, Well-being, and Health Behaviors

    The mental health of participants was measured using the Short Form Depression, Anxiety and Stress Scale (DASS-21) [17]. The Pittsburgh Sleep Quality Index [18] was used to measure sleep quality; the WHO Alcohol, Smoking & Substance Involvement Screening Test [19] was used to measure alcohol intake; the Coping Scale [20] and Self-Compassion Short Form (SCS-SF) [21] were used to measure stress management; the Multidimensional Scale of Perceived Social Support (MSPSS) [22] and Social Connectedness and the Social Assurance Scales (SCS) [23] were used to measure healthy relationships and social connection; the Starting the Conversation Diet Instrument [24] was used to measure diet quality; and the Active Australia Survey was used to measure current leisure-time physical activity [25]. Additionally, COVID-19–specific distress was measured using the Coronavirus Anxiety Scale [26].

    Analysis of Acceptability and Participants’ Experiences

    To determine acceptability of the program, percentages of participants who agreed or strongly agreed they were satisfied with the content of the session, felt the content helped with their mental health and well-being, and thought the program made them feel more connected with their colleagues during the first 13 weeks of the program were calculated. Additionally, the average number of live daily sessions attended by respondents in a week was calculated.

    The semistructured interviews were digitally recorded and then transcribed verbatim. Transcripts were read and reread while listening to the recordings to ensure accuracy. Braun and Clarke’s [27] thematic analysis guide was used to examine the personal experiences and meanings of the program. Data were organized in a meaningful and systematic way, with coding used to reduce data into smaller chunks of meaning. Codes were examined and organized into broader themes and were reviewed and modified. The final themes were defined and named.

    Analyses of Mental Health Outcomes

    Quantitative data analysis was performed using SPSS (v.25) and the R package. Trajectories of change in symptoms of depression, anxiety, and stress were estimated using multilevel growth curve models. First, an unconditional model with a random intercept was run for each outcome (null model). Subsequently, a series of models were run with a fixed linear effect of time (Model A), quadratic effect of time (Model B), and cubic effect of time (Model C) added. Because the time between follow-ups differed, time was entered as the number of weeks from baseline centered on the date of baseline collection. All models were fitted with a random intercept. Additionally, models were run with random slopes. However, the inclusion of random slopes did not significantly improve the fit of any model; thus, the results are reported for models with a random intercept only. The likelihood ratio test was used to compare model fits and determine which model fit the data best. Before analysis, models were checked for normality. The results indicated that depression and anxiety were not normally distributed, and therefore these outcomes were log-transformed before analysis. Because logs of zeroes cannot be computed, 1 was added to all scores of depression and anxiety before transformations were made.

    To determine mediators of changes in depression symptoms from baseline to the end of the program, 1-1-1 multilevel multiple mediation models were estimated using the MLmed macro tool [28]. Models were estimated with random intercepts, fixed slopes, and uncorrelated residuals. The significance of indirect effects was estimated via Monte Carlo 95% CIs based on 10,000 resamples. Variables for each of the six identified lifestyle areas (healthy eating, physical activity, reducing alcohol intake, improving sleep, healthy relationships and social connection, and stress management) were tested as possible mediators. Additionally, to account for potential changes due to fluctuating responses to COVID-19, COVID-19–related distress was also tested as a potential mediator. To keep models parsimonious, the three variables with the strongest within-person correlations [29] with each of the outcomes were included in a single multiple mediation model. Within-person correlations between variables are provided in Multimedia Appendix 2.

    Missing Data

    There were large amounts of missing data. Only six participants provided data at the fourth follow-up, and therefore data from this time point were excluded from analyses. Of the remaining five assessments, 43 participants only completed the baseline assessment, 18 participants completed two assessments, 8 participants completed three assessments, 15 participants completed four assessments, and 20 participants completed all five assessments. Data were available for 106 participants at baseline, 51 at the first follow-up, 42 at the second follow-up, 36 at the third follow-up, and 31 at the fifth follow-up. One-way analysis of variance and Kruskal–Wallis tests were used to determine if there was a significant difference in study variables at baseline between participants with complete data and those missing data at follow-up. Missing value analysis indicated no significant differences in symptoms of depression, anxiety, or stress, or in demographics between participants with different amounts of missing data, indicating that the data were missing completely at random. Missing data for symptoms of depression, anxiety, and stress were handled using the full information maximum-likelihood estimation method. This has been shown to reduce parameter errors compared to ad hoc approaches to handling missing data, and provides appropriate standard errors of estimations, even with substantial amounts of missing data and small sample sizes [30,31].

    For the mediation analysis, 31 participants completed both the baseline and follow-up assessments. Results indicated that participants who completed both baseline and follow-up assessments reported significantly less COVID-19–related distress at baseline than participants who did not complete the follow-up assessment, indicating that the data were not missing completely at random. Because multilevel models cannot handle missing data for independent variables using maximum likelihood, missing values for mediator variables were imputed using multiple imputation. A total of 10 imputed data sets were created using Markov Chain Monte Carlo with predictive mean matching. Imputation models included all mediators and outcomes as predictors of missing values. Results from the multiple imputed data sets were combined using Rubin’s Rule [32].


    Program Acceptability

    Attendance at the daily sessions ranged from 174 to 240 participants in the first week of the program, 63-84 at week 16, and 21-24 in the final week of the program. The number of responses to weekly feedback ranged from 16 to 90 participants. The average weekly attendance for participants who responded to the weekly feedback questionnaires ranged between 2.38 and 3.22 sessions. Participants reported high levels of satisfaction with the sessions during the first 13 weeks of the study (81.0% and 97.7% of weekly respondents agreeing or strongly agreeing that they were satisfied with the sessions they attended that week), and found the sessions they attended helpful for their mental health and well-being (80.9% and 94.2% of weekly respondents agreeing or strongly agreeing). Increased connection with colleagues was moderately endorsed (46.1% and 94.1% of weekly respondents agreed or strongly agreed).

    Program Experiences

    Overview of Themes

    Participants in the semistructured interviews were aged, on average, 54 years (range 29-69 years), were predominantly professional staff (90%), and predominantly female (90%). Thematic analysis identified five higher-order themes: a positive program, facilitating behavior change, supporting mental health and well-being, providing social connection, and organizational support (Figure 1). Exploration of the higher-order themes, lower-order themes, and subthemes formed the basis of the findings.

    ‎
    Figure 1. Themes from semistructured interviews with participants.
    View this figure
    A Positive Program

    Four lower-order themes emerged from the higher-order theme of a positive program: (1) provided purpose and structure, (2) variety of relevant content, (3) future planning, and (4) suitable time. The VU Elevenses program was reported as a positive experience for participants during the COVID-19 pandemic. The program provided structure and purpose by supporting participants to have something to look forward to during extended periods of remote working and mandated isolation. The 11 AM time was suitable and the 15-minute duration was sufficient. Further, the program provided a variety of content, ranging from practical advice, sing-a-longs, mindfulness, and physical activities. This variety was reported as positive, as participants could opt in and out of the program depending on what suited their needs. Participants reported that the mix of content kept the program refreshing and engaging. Further, participants reported that they wanted the program to continue after the immediate response to the COVID-19 pandemic.

    … It’s been mind-blowing. It’s been inspiring. It’s been educational. It’s taught me strategies. It’s given me physical, mental, and different perspectives to think about how to do things better during this lockdown COVID…it’s the best thing since sliced bread. It should continue. It should have happened sooner. So I think COVID has really pushed us to thinking, doing, thinking better in how we plan our days and to take care of ourselves
    [Participant 6]
    …bringing us back and reminding us to set some structure, have things to look forward to in the day, schedule in things that you want, and not just leave them to chance
    [Participant 3]
    I think there is so much value and benefit of what has happened with Elevenses that could continue on beyond, you know, what we are facing right now
    [Participant 4]
    Facilitating Behavior Change

    Two lower-order themes emerged from the higher-order theme of facilitating behavior change: (1) increased awareness and (2) motivation. All participants described the VU Elevenses program as contributing to changing well-being behaviors during the COVID-19 pandemic. For example, some participants changed how they engaged with news and social media or incorporated breathing exercises into their daily lives. Participants felt the program created awareness and motivation for change, including regular prompts and reminders of strategies and skills they could implement, which facilitated implementing these changes.

    …one of the strategies was about minimizing access to social media, particularly around the news. Not constantly looking at the news 'cause it is what it is. And so I think that was one that I found really useful to just think about where am I getting that information… finding one or two [trusted] sources… and that helped
    [Participant 2]
    …without really consciously thinking about making behavior change, I think that just having that kind of reminder was helpful
    [Participant 1]
    …overall I think the Elevenses, was very motivational. Every time I went into it, I left feeling very positive. So if there was a day where I felt unmotivated and I felt a bit like, “Ah, I can't be bothered,” when I'd go into the session, I'd leave feeling a bit more motivated
    [Participant 4]
    Supporting Mental Health and Well-being

    One lower-order theme emerged from the higher-order theme of supporting mental health and well-being: normalizing mental health. Participants discussed how the program provided them with more confidence, insight, and understanding in managing their mental health and well-being during the COVID-19 pandemic. The online group program appeared to normalize any difficulties they were experiencing during the extended lockdown.

    … my mental health has definitely adjusted and moved along the journey of the pandemic. So again, I think the program was very attuned to the situation and supporting mental health... I feel strongly that it did promote wellbeing and mental health in a very accessible way
    [Participant 3]
    … I think the breathing one, I sort of kept in my mind when I was feeling stressed, to do that. And then just the recognition that this has been identified as something that maybe other people might be going through as well helped
    [Participant 8]
    Providing Social Connection

    One lower-order theme emerged from the higher-order theme of social connection: connected to the university. Participants reported that the program offered a space for staff to connect socially every day. Further, participants discussed feeling connected to the university and staff during the program, which seemed to provide a sense of comfort and familiarity.

    … and it was also really great to see some of my colleagues that I haven’t been, physically been able to connect with, this made things really much better…
    [Participant 1]
    …made me feel a little bit more connected to the wider university because it made me feel more connected to what people were doing within the university
    [Participant 8]
    Organizational Support

    Having access to the daily VU Elevenses program and feeling valued at work appeared to be beneficial for participants during the COVID-19 pandemic: “…that sense of connection to the organization and feeling like the organization actually values the staff has been the key thing for me.” [Participant 6]

    Longitudinal Changes in Depression, Anxiety, and Stress

    A total of 106 participants completed the baseline questionnaire. At baseline, the average age of the 106 participants was 47.34 (SD 11.82) years and 92 (86.8%) identified as female. Overall, 79 (74.5%) participants were administrative or executive staff and 26 (24.5%) were teaching or research staff. The majority (70/106, 66.0%) were full-time staff. At baseline, 22.9%, 15.2%, and 25.2% of participants reported moderate-to-severe symptoms of depression, anxiety, and stress, respectively.

    Results from the multilevel linear growth models are shown in Table 2. The results showed that symptoms of depression, anxiety, and stress all followed a cubic trajectory decreasing from baseline to June 8, increasing from June 8 to July 31 (corresponding with a return to strict lockdown), and decreasing from July 31 to November 27 as lockdown restrictions were eased (Figures 2-4).

    Table 2. Results from multilevel growth curve models for depression, anxiety, and stress.
    EffectsDepressionaAnxietyaStress
    Model A

    		Fixed effect: time


    		B (95% CI)–0.003 (–0.009 to 0.003)–0.010 (–0.016 to –0.004)–0.081 (–0.116 to 0.047)


    		P value.39.002<.001

    		Model fit


    		–2LL569.179546.0041408.421


    		Likelihood ratio (null model), χ2 (df=1)0.7529.50120.581


    		P value.39.002<.001
    Model B

    		Fixed Effects


    		Time



    		B (95% CI)–0.017 (–0.039 to 0.006)–0.019 (–0.041 to 0.004)–0.154 (–0.278 to –0.031)



    		P value.15.02.02


    		Time2



    		B (95% CI)0.000 (–0.000 to 0.001)0.000 (–0.000 to 0.001)0.002 (–0.001 to 0.005)



    		P value.21.42.23

    		Model fit


    		–2LL567.637545.3851406.950


    		Likelihood ratio (Model A), χ2 (df=1)1.5420.6191.471


    		P value.21.43.23
    Model C

    		Fixed effects


    		Time



    		B (95% CI)–0.137 (–0.194 to –0.080)–0.090 (–0.149 to –0.031)–0.678 (–1.000 to –0.356)



    		P value<.001.003<.001


    		Time2



    		B (95% CI)0.013 (0.007 to 0.018)0.007 (0.002 to 0.013)0.055 (0.024 to 0.085)



    		P value<.001.009<.001


    		Time3



    		B (95% CI)–0.000 (–0.000, to –0.000)–0.000 (–0.000 to –0.000)–0.001 (–0.001 to –0.000)



    		P value<.001.01.001

    		Model fit


    		–2LL548.578538.9251395.580


    		Likelihood ratio (Model A), χ2 (df=2)20.6017.07912.841


    		P value<.001.03.002


    		Likelihood ratio (Model B), χ2 (df=1)19.0596.46011.370


    		P value<.001.006<.001

    aOutcomes are log-transformed.

    ‎
    Figure 2. Change in depression scores during the program. The subscale indicates if outcomes were log-transformed (ln). Higher subscale numbers equate to greater symptoms. Time points shaded in grey indicate data collection periods during which participants were in strict lockdowns. DASS-21: Short Form Depression, Anxiety and Stress Scale.
    View this figure
    ‎
    Figure 3. Change in anxiety scores during the program. The subscale indicates if outcomes were log-transformed (ln). Higher subscale numbers equate to greater symptoms. Time points shaded in grey indicate data collection periods during which participants were in strict lockdowns. DASS-21: Short Form Depression, Anxiety and Stress Scale.
    View this figure
    ‎
    Figure 4. Change in stress scores during the program. DASS-21: Short Form Depression, Anxiety and Stress Scale.
    View this figure

    Protective Factors Against Poor Mental Health

    Results from the repeated-measures correlation (Multimedia Appendix 2) showed that COVID-19–related distress, self-compassion, and social connectedness had the strongest within-person correlations with symptoms of depression. The results from the mediation model for depression are presented in Table 3, showing a significant negative indirect effect of time through COVID-19–related distress on depression. There were no significant indirect effects through self-compassion or social connectedness. When controlling for mediators, there was no direct effect of time on symptoms of depression, indicating that changes in symptoms of depression were mediated by changes in COVID-19–related distress.

    Table 3. Results from the multilevel mediation model on depression.
    EffectsPathB (95% CI)
    Time through COVID-related distressa1–0.206 (–0.285 to –0.127)
    COVID-related distress through depressionb16.228 (1.213 to 11.242)
    Indirect effectb1×a1–1.299 (–2.558 to –0.040)
    Time through self-compassiona24.297 (2.228 to 6.366)
    Self-compassion through depressionb2–0.304 (–0.590 to –0.018)
    Indirect effectb2×a2–1.284 (–2.579 to 0.011)
    Time through social connectednessa33.686 (0.755 to 6.617)
    Social connectedness through depressionb30.001 (–0.200 to 0.202)
    Indirect effectb3×a3–0.022 (–0.761 to 0.717)
    Time through depressionc1.144 (–0.450 to 2.737)

    Repeated-measures correlation showed that COVID-19–related distress, self-compassion, and sleep quality had the strongest within-person correlations with symptoms of anxiety. Results from the mediation analysis for anxiety (Table 4) showed that there was also a significant negative indirect effect of time through COVID-19–related distress. There were no significant indirect effects through self-compassion or sleep quality. When controlling for mediators, there was no direct effect of time on symptoms of anxiety, indicating that changes in symptoms of anxiety were mediated by changes in COVID-19–related distress.

    Table 4. Results from the multilevel mediation model on anxiety.
    EffectsPathB (95% CI)
    Time through COVID-related distressa1–0.239 (–0.309 to –0.170)
    COVID-related distress through anxietyb17.659 (4.957 to 10.360)
    Indirect effectb1×a1–1.828 (–2.585 to –1.071)
    Time through self-compassiona24.718 (2.972 to 6.464)
    Self-compassion through anxietyb2–0.103 (–0.210 to 0.004)
    Indirect effectb2×a2–0.480 (–1.005 to 0.044)
    Time through sleep qualitya31.451 (0.741 to 2.162)
    Sleep quality through anxietyb3–0.14 (–0.425 to 0.133)
    Indirect effectb3×a3–0.215 (–0.675 to 0.246)
    Time through anxietyc0.27 (–0.523 to 1.067)

    Repeated-measures correlation showed that COVID-19–related distress, self-compassion, and diet quality had the strongest within-person correlations with stress. Results for the mediation analysis for stress (Table 5) showed that there was a significant indirect effect of time through self-compassion. There were no significant indirect effects through COVID-19–related distress or diet quality. When controlling for mediators, there was no direct effect of time, indicating that changes in stress were mediated by changes in self-compassion.

    Table 5. Results from the multilevel mediation model on stress.
    EffectsPathB (95% CI)
    Time through COVID-related distressa1–0.221 (–0.293 to –0.148)
    COVID-related distress through stressb15.189 (0.532 to 9.846)
    Indirect effectb1×a1–1.156 (–2.335 to 0.024)
    Time through self-compassiona23.822 (1.702 to 5.942)
    Self-compassion through stressb2–0.438 (–0.641 to –0.234)
    Indirect effectb2×a2–1.662 (–2.745 to –0.580)
    Time through diet qualitya30.831 (–0.075 to 1.738)
    Diet quality through stressb3–0.341 (–0.907 to 0.225)
    Indirect effectb3×a3–0.260 (–0.780 to 0.261)
    Time through stressc–0.500 (–2.154 to 1.154)

    Principal Findings

    This study examined the acceptability, outcomes, and potential mediators of daily, evidence-informed, online microinterventions to promote the mental health of staff of a tertiary education institution during the COVID-19 pandemic. Regarding program acceptability, results from weekly questionnaires showed that the vast majority of participants were satisfied with the program content, and believed that the content was helpful for their mental health and well-being. Additionally, qualitative interviews showed that participants had positive perceptions about the program’s structure and content, believed it supported their mental health and well-being, helped them implement positive behavioral change, and made them feel more socially connected and supported by the university. Results from the longitudinal analysis of mental health symptoms showed that participants had moderate-to-severe symptoms of depression, anxiety, and stress at baseline, and that symptoms declined over the first 7 weeks of the intervention. Additionally, although participants’ symptoms of depression, anxiety, and stress increased with the commencement of a second, stricter lockdown period, symptoms did not return to the levels reported at the beginning of the initial COVID-19 lockdown. This suggests that participation in the “VU Elevenses” program may have protected against worsening symptoms of depression, anxiety, and stress associated with mass lockdown, fears of an outbreak, and economic recession [33]. Additionally, results from the multilevel mediation analysis suggested that reductions in depression and anxiety were explained by reductions in COVID-19–related distress, and that participants who experienced greater increases in self-compassion over the study experienced greater reductions in symptoms of stress.

    The moderate to severe symptoms of depression, anxiety, and stress reported by approximately 15%-25% of our participants at baseline are expected responses to the unknown and stressful circumstances of a health epidemic [2,34] and mandated self-isolation [35,36]. As stated by international mental health experts, a rise in these symptoms was predicted to occur during the COVID-19 pandemic, as well as an increase in the prevalence of diagnosed depression and anxiety disorders, self-harm behaviors, and suicide [34]. Indeed, the mental health impacts of the COVID-19 pandemic are apparent, with reported increases in the experience of psychological distress, symptoms of depression and anxiety, and incidence of mental disorders [37-39], and highlight the need for effective mental health supports during this time of crisis.

    Results from this study indicate that a brief daily online intervention may be an acceptable way to provide mental health support during a time of crisis. Staff experienced the VU Elevenses program as a positive program during the COVID-19 pandemic, and the vast majority of staff agreed that they found the content helpful for their mental health and well-being. Similarly, high levels of satisfaction have been reported in multiple other online interventions during the COVID-19 pandemic [40,41], indicating that it may be viable to deliver mental health interventions online. Additionally, many participants agreed that they felt more connected with their peers and the university due to the VU Elevenses program. It is promising that our program, delivered during the period of mandated self-isolation, increased the sense of connection with colleagues. An adverse consequence of COVID-19 restrictions is the impact of social isolation and loneliness on mental health and well-being [35,36]. This is likely a consequence of the intervention being delivered in a group setting and allowing participants to connect with their peers daily, which can increase perceptions of social support during social isolation [42]. Additionally, by delivering the intervention in groups, the program may have normalized any difficulties staff may have been experiencing during the lockdown.

    The longitudinal changes in mental health reported are similar to those reported in previous studies. Several studies reported worse mental health status at the beginning of the COVID-19 pandemic compared to prepandemic levels; however, mental health improved during the early months of the pandemic [43-45]. This may be because the greatest burden of lockdowns occurs early, and people may be able to adapt to their new situation over time [46]. Other studies have also reported a nonlinear trajectory in mental health, with mental health problems reemerging after the initial improvement [44]. This is likely to follow increases in case numbers and reintroductions of local lockdown measures, contributing to worsening mental health [44]. Although previous online mental health interventions reported short-term improvements in mental health during the COVID-19 pandemic [47-49], the results from this study indicate that these improvements may not be sustained long-term, especially if local cases began to rise and stricter restrictions are reintroduced. Therefore, rapid-response health promotion interventions need to be adapted to changing participant needs throughout a crisis period to be able to provide the most appropriate supports when they are required the most.

    Results from the mediation analysis indicated that preintervention to postintervention changes in depression and anxiety were explained by changes in COVID-19–related distress. This suggests that the program may have provided participants with the strategies and skills to adapt their behaviors and regulate their emotions to reduce the distress associated with the pandemic. By contrast, changes in stress were explained by changes in self-compassion over time. The Elevenses intervention used several strategies to improve self-compassion, including self-compassion meditation, resetting expectations, and simple mindfulness strategies (Table 1). Self-compassion may promote a healthier and more adaptive style of thinking and decrease rumination [50], which may explain why it was associated with changes with stress over time.

    In line with recommendations to share information on managing stress, depression, and anxiety using telehealth [2] or digital responses [34], our program delivered psychological and lifestyle strategies and was regularly accessed by a group of VU staff. The weekly evaluation demonstrated a high level of program acceptability and indicated that participants who engaged in the program perceived real benefits to their mental health and well-being. The uncontrolled intervention was offered each workday, and there was no requirement to attend each day, providing flexibility for individual circumstances.

    Strengths and Limitations

    The content of our program was evidence-informed and was grounded in the six identified lifestyle intervention areas for well-being [11], including stress management, physical activity, nutrition, reducing substance use, sleep, and relationships. These influence coping, resilience, and mental health generally as well as in the context of stressful experiences [34]. The program’s content can be delivered in any workplace that has practitioners or clinicians on staff, can facilitate access to allied health professionals, or source and share appropriate existing online resources and clinical content. Despite the strength of having a flexible and responsive approach to content, aspects of the program that were based on general clinical content such as self-compassion, relaxation, and mindfulness practices could readily be reproduced. In addition, our findings demonstrate that it is possible to develop and deliver an acceptable program of online microinterventions in a timely manner, utilizing simple and accessible low-cost online meeting platforms, offered to an entire workplace at one time point. Until May 15, 2020, Australia’s federal government response was focused on managing health and financial needs rather than on the mental health implications of the COVID-19 crisis [2,51]. Our program was able to address this gap within our workplace, as it was developed and launched within 4 weeks from when staff were required to work remotely, and delivered wholly online to adhere to physical distancing and self-isolation requirements. This program allowed for the rapid collection of feedback from participants as well as timely sharing among the research team to adapt to anticipated changes in social regulations and restrictions. To the best of our knowledge, this is the first live, brief, weekday mental health promotion program in a workplace during a crisis.

    Several limitations should be considered in the interpretation of these results. First, participants who opted into the program and the evaluation, including the semistructured interviews, may be subject to self-selection bias. Participants who value mental health promotion initiatives may be more likely to participate. Despite our intention for this program to be a universal mental health promotion and prevention intervention, only 18% of invited staff participated in the program, indicating modest reach into the target population [52]. Indeed, we do not have data to determine if our sample represents the larger staff body. The gender disparity in participation in the research component (females: 80% research opt-in vs 60% overall VU staff) may reflect the well-documented gender differences in help-seeking behaviors related to mental health, or reflect the attitudinal or societal barriers reported by men in accessing mental health support [53]. This should be considered for future program marketing and content development. As this program was developed as a rapid mental health promotion response, we could not develop an exhaustive internal promotion and engagement strategy. Inviting staff to participate via a general announcement email list can be problematic as many staff may not read these emails in detail. Follow-up responses to the opt-in research component were lower than expected and it is possible that the length of the survey may have contributed to this low response rate. As an uncontrolled intervention without a comparison group, it is possible that the changes in psychological symptoms reflect natural adaptation to new routines and life circumstances over time. This is reflected in the results of the mediation models, which showed that changes in COVID-19–related distress explained changes in depression and anxiety from baseline to the study endpoint.

    Conclusions

    This study demonstrates the acceptability of a rapidly developed program of microinterventions, delivered in a timely manner utilizing a simple and accessible low-cost online meeting platform during a time of crisis when mental health is highly likely to deteriorate. Participation in the program may have protected against worsening symptoms of depression, anxiety, and stress associated with extended COVID-19 lockdown periods, and improved symptoms of stress by increasing self-compassion.

    Acknowledgments

    The authors would like to thank the contribution of our Victoria University advisory team members: Prof Corinne Reid (former Deputy Vice Chancellor, Research), Prof Anne-Marie Hede (Dean, Graduate Research), Sharon Jenner (Senior Advisor, Health and Wellbeing), Margaret Theologou (Manager, Counselling and Accessibility), Amanda Rea (Executive Officer, Institute for Health and Sport), and Prof Jeannie Rea (Senior Project Manager, Planetary Health). This work was supported by the Place-Based Planetary Health Grant (PH099), Victoria University, Australia. The funding source did not have a role in study design; data collection, analysis, or interpretation; writing of the report; or the decision to submit this paper for publication.

    Authors' Contributions

    AP conceived the study with all authors contributing to formulating the research question, designing the study, carrying it out, and writing the publication. Data analysis was completed by MB, PB, CS, and AP. The corresponding author (AP) had full access to all the data in the study and had final responsibility for the decision to submit for publication.

    Conflicts of Interest

    None declared.

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    Multimedia Appendix 1

    Participant semistructured interviews schedule.

    DOCX File , 17 KB
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    Multimedia Appendix 2

    Repeated-measures correlation between factors associated with mental health and symptoms of depression, anxiety, and stress.

    DOCX File , 16 KB
    1. Household impacts of COVID-19 survey, 14-17 April. Australian Bureau of Statistics. 2021 Jul 14.   URL: https:/​/www.​abs.gov.au/​statistics/​people/​people-and-communities/​household-impacts-covid-19-survey/​latest-release [accessed 2022-02-14]
    2. Zhou X, Snoswell CL, Harding LE, Bambling M, Edirippulige S, Bai X, et al. The role of telehealth in reducing the mental health burden from COVID-19. Telemed J E Health 2020 Apr 01;26(4):377-379. [CrossRef] [Medline]
    3. Dodd RH, Dadaczynski K, Okan O, McCaffery KJ, Pickles K. Psychological wellbeing and academic experience of university students in Australia during COVID-19. Int J Environ Res Public Health 2021 Jan 20;18(3):866 [FREE Full text] [CrossRef] [Medline]
    4. Stanton R, To QG, Khalesi S, Williams SL, Alley SJ, Thwaite TL, et al. Depression, anxiety and stress during COVID-19: associations with changes in physical activity, sleep, tobacco and alcohol use in Australian adults. Int J Environ Res Public Health 2020 Jun 07;17(11):4065 [FREE Full text] [CrossRef] [Medline]
    5. Mental health and psychosocial considerations during the COVID-19 outbreak. World Health Organization. 2020 Mar 18.   URL: https://www.who.int/docs/default-source/coronaviruse/mental-health-considerations.pdf [accessed 2022-02-14]
    6. Ways to look after your mental health amid the coronavirus pandemic. Beyond Blue.   URL: https:/​/coronavirus.​beyondblue.org.au/​Managing-my-daily-life/​Coping-with-isolation-and-being-at-home/​ways-to-look-after-your-mental-health-amid-the-covid-19-pandemic [accessed 2022-02-14]
    7. Sucala M, Schnur JB, Constantino MJ, Miller SJ, Brackman EH, Montgomery GH. The therapeutic relationship in e-therapy for mental health: a systematic review. J Med Internet Res 2012 Aug 02;14(4):e110 [FREE Full text] [CrossRef] [Medline]
    8. Bunge EL, Williamson RE, Cano M, Leykin Y, Muñoz RF. Mood management effects of brief unsupported internet interventions. Internet Interv 2016 Sep;5:36-43 [FREE Full text] [CrossRef] [Medline]
    9. Ivandic I, Freeman A, Birner U, Nowak D, Sabariego C. A systematic review of brief mental health and well-being interventions in organizational settings. Scand J Work Environ Health 2017 Mar 01;43(2):99-108 [FREE Full text] [CrossRef] [Medline]
    10. Fischer R, Bortolini T, Karl JA, Zilberberg M, Robinson K, Rabelo A, et al. Rapid review and meta-meta-analysis of self-guided interventions to address anxiety, depression, and stress during COVID-19 social distancing. Front Psychol 2020 Oct 28;11:563876. [CrossRef] [Medline]
    11. Egger GJ, Binns AF, Rossner SR. The emergence of "lifestyle medicine" as a structured approach for management of chronic disease. Med J Aust 2009 Feb 02;190(3):143-145. [CrossRef] [Medline]
    12. Bond M. A Bear Called Paddington. Glasgow, Scotland: HarperCollins Children's Books; 2003.
    13. Mrazek P, Haggerty R. Reducing risks for mental disorders: Frontiers for preventive intervention research. Washington, DC: National Academy Press; 1994:19-20.
    14. Employee Wellbeing Policy. Victoria University. 2019.   URL: https://policy.vu.edu.au/document/view.php?id=460 [accessed 2022-02-14]
    15. Evidence Overwhelmingly Supports Efficacy of Lifestyle Medicine. The American College of Lifestyle Medicine.   URL: https:/​/www.​lifestylemedicine.org/​ACLM/​Resources/​Scientific_Evidence/​ACLM/​About/​What_is_Lifestyle_Medicine_/​Scientific_Evidence.​aspx?hkey=ed4b4130-6ce9-41bb-8703-211bc98eed7f [accessed 2022-02-14]
    16. Guest G, Bunce A, Johnson L. How many interviews are enough? An experiment with data saturation and variability. Field Methods 2016 Jul 21;18(1):59-82. [CrossRef]
    17. Lovibond PF, Lovibond SH. The structure of negative emotional states: comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behav Res Ther 1995 Mar;33(3):335-343. [CrossRef] [Medline]
    18. Buysse DJ, Reynolds CF, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res 1989 May;28(2):193-213. [CrossRef] [Medline]
    19. Humeniuk R, Henry-Edwards S, Ali R, Poznyak V, Monteiro M. The Alcohol, Smoking and Substance Involvement Screening Test (ASSIST): Manual for use in Primary Care. Geneva: World Health Organization; 2010:42-47.
    20. Billings AG, Moos RH. The role of coping responses and social resources in attenuating the stress of life events. J Behav Med 1981 Jun;4(2):139-157. [CrossRef]
    21. Raes F, Pommier E, Neff KD, Van Gucht D. Construction and factorial validation of a short form of the self-compassion scale. Clin Psychol Psychother 2011 Jun 08;18(3):250-255. [CrossRef] [Medline]
    22. Zimet GD, Dahlem NW, Zimet SG, Farley GK. The multidimensional scale of perceived social support. J Pers Assess 1988 Mar;52(1):30-41. [CrossRef]
    23. Lee RM, Draper M, Lee S. Social connectedness, dysfunctional interpersonal behaviors, and psychological distress: testing a mediator model. J Counsel Psychol 2001;48(3):310-318. [CrossRef]
    24. Paxton AE, Strycker LA, Toobert DJ, Ammerman AS, Glasgow RE. Starting the conversation performance of a brief dietary assessment and intervention tool for health professionals. Am J Prev Med 2011 Jan;40(1):67-71. [CrossRef] [Medline]
    25. Australian Institute of Health and Welfare. The Active Australia Survey: A guide and manual for implementation, analysis and reporting. Canberra: Australian Government; 2003:2-4.
    26. Lee SA. Coronavirus Anxiety Scale: a brief mental health screener for COVID-19 related anxiety. Death Stud 2020 Apr 16;44(7):393-401. [CrossRef] [Medline]
    27. Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol 2006 Jan;3(2):77-101. [CrossRef]
    28. Rockwood NJ. Advancing the formulation and testing of multilevel mediation and moderated mediation models. Thesis. The Ohio State University. 2017.   URL: https://etd.ohiolink.edu/apexprod/rws_olink/r/1501/10?clear=10&p10_accession_num=osu1489578419777238 [accessed 2022-02-14]
    29. Bakdash JZ, Marusich LR. Repeated Measures Correlation. Front Psychol 2017;8:456. [CrossRef] [Medline]
    30. Shin T, Davison ML, Long JD. Maximum likelihood versus multiple imputation for missing data in small longitudinal samples with nonnormality. Psychol Methods 2017 Sep;22(3):426-449. [CrossRef] [Medline]
    31. Newman DA. Longitudinal modeling with randomly and systematically missing data: a simulation of ad hoc, maximum likelihood, and multiple imputation techniques. Organ Res Methods 2016 Jun 29;6(3):328-362. [CrossRef]
    32. Rubin D. Multiple imputation for nonresponse in survey. Hoboken, NJ: John Wiley & Sons; 1987:19-21.
    33. Robinson E, Sutin A, Daly M, Jones A. A systematic review and meta-analysis of longitudinal cohort studies comparing mental health before versus during the COVID-19 pandemic in 2020. J Affect Disord 2022 Jan 01;296:567-576 [FREE Full text] [CrossRef] [Medline]
    34. Holmes EA, O'Connor RC, Perry VH, Tracey I, Wessely S, Arseneault L, et al. Multidisciplinary research priorities for the COVID-19 pandemic: a call for action for mental health science. Lancet Psychiatry 2020 Jun;7(6):547-560 [FREE Full text] [CrossRef] [Medline]
    35. Nkire N, Mrklas K, Hrabok M, Gusnowski A, Vuong W, Surood S, et al. COVID-19 pandemic: demographic predictors of self-isolation or self-quarantine and impact of isolation and quarantine on perceived stress, anxiety, and depression. Front Psychiatry 2021 Feb 1;12:553468. [CrossRef] [Medline]
    36. Pancani L, Marinucci M, Aureli N, Riva P. Forced social isolation and mental health: a study on 1,006 Italians under COVID-19 lockdown. Front Psychol 2021 May 21;12:663799. [CrossRef] [Medline]
    37. Campion J, Javed A, Sartorius N, Marmot M. Addressing the public mental health challenge of COVID-19. Lancet Psychiatry 2020 Aug;7(8):657-659 [FREE Full text] [CrossRef] [Medline]
    38. O'Connor RC, Wetherall K, Cleare S, McClelland H, Melson AJ, Niedzwiedz CL, et al. Br J Psychiatry 2021 Jun;218(6):326-333 [FREE Full text] [CrossRef] [Medline]
    39. Kola L, Kohrt BA, Hanlon C, Naslund JA, Sikander S, Balaji M, et al. COVID-19 mental health impact and responses in low-income and middle-income countries: reimagining global mental health. Lancet Psychiatry 2021 Jun;8(6):535-550. [CrossRef] [Medline]
    40. González-García M, Álvarez JC, Pérez EZ, Fernandez-Carriba S, López JG. Feasibility of a brief online mindfulness and compassion-based intervention to promote mental health among university students during the COVID-19 pandemic. Mindfulness (N Y) 2021 May 17;12(7):1-11 [FREE Full text] [CrossRef] [Medline]
    41. Bäuerle A, Jahre L, Teufel M, Jansen C, Musche V, Schweda A, et al. Evaluation of the e-mental health mindfulness-based and skills-based "CoPE It" intervention to reduce psychological distress in times of COVID-19: results of a bicentre longitudinal study. Front Psychiatry 2021 Nov 4;12:768132. [CrossRef] [Medline]
    42. Sommerlad A, Marston L, Huntley J, Livingston G, Lewis G, Steptoe A, et al. Social relationships and depression during the COVID-19 lockdown: longitudinal analysis of the COVID-19 Social Study. Psychol Med 2021 Jan 13:1-10 [FREE Full text] [CrossRef] [Medline]
    43. Daly M, Sutin AR, Robinson E. Longitudinal changes in mental health and the COVID-19 pandemic: evidence from the UK Household Longitudinal Study. Psychol Med 2020 Nov 13:1-10 [FREE Full text] [CrossRef] [Medline]
    44. Stroud I, Gutman LM. Longitudinal changes in the mental health of UK young male and female adults during the COVID-19 pandemic. Psychiatry Res 2021 Sep;303:114074 [FREE Full text] [CrossRef] [Medline]
    45. Daly M, Robinson E. Longitudinal changes in psychological distress in the UK from 2019 to September 2020 during the COVID-19 pandemic: Evidence from a large nationally representative study. Psychiatry Res 2021 Jun;300:113920 [FREE Full text] [CrossRef] [Medline]
    46. Fancourt D, Steptoe A, Bu F. Trajectories of anxiety and depressive symptoms during enforced isolation due to COVID-19 in England: a longitudinal observational study. Lancet Psychiatry 2021 Feb;8(2):141-149. [CrossRef]
    47. Shapira S, Yeshua-Katz D, Cohn-Schwartz E, Aharonson-Daniel L, Sarid O, Clarfield A. A pilot randomized controlled trial of a group intervention via Zoom to relieve loneliness and depressive symptoms among older persons during the COVID-19 outbreak. Internet Interv 2021 Apr;24:100368 [FREE Full text] [CrossRef] [Medline]
    48. Bantjes J, Kazdin AE, Cuijpers P, Breet E, Dunn-Coetzee M, Davids C, et al. A web-based group cognitive behavioral therapy intervention for symptoms of anxiety and depression among university students: open-label, pragmatic trial. JMIR Ment Health 2021 May 27;8(5):e27400 [FREE Full text] [CrossRef] [Medline]
    49. El Morr C, Ritvo P, Ahmad F, Moineddin R, MVC Team. Correction: Effectiveness of an 8-week web-based mindfulness virtual community intervention for university students on symptoms of stress, anxiety, and depression: randomized controlled trial. JMIR Ment Health 2020 Sep 30;7(9):e24131 [FREE Full text] [CrossRef] [Medline]
    50. Ferrari M, Hunt C, Harrysunker A, Abbott MJ, Beath AP, Einstein DA. Self-compassion interventions and psychosocial outcomes: a meta-analysis of RCTs. Mindfulness 2019 Apr 8;10(8):1455-1473. [CrossRef]
    51. COVID-19: $48.1 million for National Mental Health and Wellbeing Pandemic Response Plan. Government of Australia Department of Health.   URL: https:/​/www.​health.gov.au/​ministers/​the-hon-greg-hunt-mp/​media/​covid-19-481-million-for-national-mental-health-and-wellbeing-pandemic-response-plan [accessed 2022-02-14]
    52. Feldstein AC, Glasgow RE. A practical, robust implementation and sustainability model (PRISM) for integrating research findings into practice. Jt Comm J Qual Patient Saf 2008 Apr;34(4):228-243. [CrossRef] [Medline]
    53. Bolea-Alamanac BM. Promotion of mental health: a gender perspective. In: Bährer-Kohler S, Carod-Artal FJ, editors. Global mental health: prevention and promotion. Cham: Springer International Publishing; 2017:141-155.

    ‎
    DASS-21: Short Form Depression, Anxiety and Stress Scale
    MSPSS: Multidimensional Scale of Perceived Social Support
    SCS: Social Connectedness and the Social Assurance Scales
    SCS-SF: Self-Compassion Short Form
    VU: Victoria University

    Edited by A Mavragani; submitted 19.12.21; peer-reviewed by J Bantjes, A Kazdin; comments to author 08.01.22; revised version received 18.01.22; accepted 18.01.22; published 25.02.22

    Copyright

    ©Alexandra Parker, Sarah Dash, Matthew Bourke, Rhiannon Patten, Melinda Craike, Peter Baldwin, Warwick Hosking, Itamar Levinger, Vasso Apostolopoulos, Maximilian de Courten, Jenny Sharples, Monika Naslund, Vasileios Stavropoulos, Mary Woessner, Christopher Sonn, Caroline Stansen, Michaela Pascoe. Originally published in JMIR Formative Research (https://formative.jmir.org), 25.02.2022.

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.