search
Back to results

A Health Apps for Post-Pandemic Years for People With Physiological and Psychosocial Distress

Primary Purpose

Physiological Stress, Psychological Distress, COVID-19 Stress Syndrome

Status
Not yet recruiting
Phase
Not Applicable
Locations
Study Type
Interventional
Intervention
Physical Activity Training
Mindfulness-based Intervention
Energy Conservation Techniques
Sponsored by
The Hong Kong Polytechnic University
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional treatment trial for Physiological Stress focused on measuring Smart Health, COVID-19, Psychosocial distress, Intervention, Physical Activity

Eligibility Criteria

18 Years - 70 Years (Adult, Older Adult)All SexesDoes not accept healthy volunteers

Inclusion Criteria:

  • Aged 18 and older;
  • Exhibiting physiological and/or psychosocial distress:
  • A cutoff value of ≥ 20 in the Kessler Psychological Distress Scale (K10) will be used to indicate participants with psychological distress.
  • A cutoff value of ≥ 4 on the Brief Fatigue Inventory (BFI) indicate participants with physical fatigue;
  • A cutoff value of > 5 on the Pittsburgh Sleep Quality Index (PSQI) indicate participants with decreased sleep quality;
  • A cutoff value of > 3 on the Numerical Pain Scale (NPS) indicates participants with pain, including headaches, upset stomach, and other forms of pain
  • Has access to the Internet and a smart phone

Exclusion Criteria:

  • Individuals with any health conditions that could hamper participation in the Smart Health 3P platform, such as severe cognitive, visual, or hearing impairments.

Sites / Locations

    Arms of the Study

    Arm 1

    Arm 2

    Arm Type

    Experimental

    No Intervention

    Arm Label

    Experimental Group

    Waitlist Control Group

    Arm Description

    Participants in the experimental group will be triaged to receive different types of interventions at Level 2, namely physical activity training, mindfulness coping strategies and energy conservation techniques, based on participants' screening and outcome assessment results at Level 1. These interventions will be taught in the 8-week regular supervision phase and self-practice during the 16-week self-help phase. The features in the Health Apps for Post-Pandemic Years (HAPPY) will be introduced to the participants in the first two sessions. In the other six sessions participants will be provided guidance in practicing the assigned intervention. Participants will self-practice the assigned intervention at home during 16-week self-help phase. At Level 3 Self-management, participants will be encouraged to work through a total of six thematic modules which aim to enhance participants' favourable appraisals of the current stress factors, to reduce stress levels and improve coping.

    Participants in the waitlist control group will receive materials on the promotion of physical and psychological health during the waiting period. Participants will then receive the same 24-week intervention as the experimental group in Week 25 after completing the baseline assessment.

    Outcomes

    Primary Outcome Measures

    Changes of Kessler Psychological Distress Scale (K10)
    The Kessler Psychological Distress Scale (K10) is a simple measure of psychological distress which involves 10 questions about emotional states each with a five-level response scale. The scores on this scale range from 10 to 50 points, with lower scores reflecting better psychological health status. A cutoff value of ≥ 20 on the K10 scale indicates psychological distress.

    Secondary Outcome Measures

    Changes of Brief Fatigue Inventory (BFI)
    The Brief Fatigue Inventory (BFI) measures nine items on 10-point numeric scales for fatigue level and interference with daily life. A global fatigue score can be obtained by averaging all the items on the BFI. The total scores range from 0-10 points, with higher scores indicate greater fatigue. A cutoff value ≥ 4 on the BFI scale indicates intervention for fatigue.
    Changes of Pittsburgh Sleep Quality Index (PSQI)
    The Pittsburgh Sleep Quality Index (PSQI) is a self-reported questionnaire that assesses sleep quality over a 1-month time interval. The measure consists of 19 individual items, creating 7 components that produce one global score. The scores range from 0 to 21 points, with higher scores indicate poor sleep quality. A cutoff value > 5 indicates poor sleep quality.
    Changes of Numerical Pain Scale (NPS)
    The Numerical Pain Scale (NPS) is a self-reported questionnaire consists of 1 question measuring pain intensity. The scores range from 0 to 10, with higher scores indicate greater pain. A cutoff value > 3 indicates greater pain.
    Changes of Cognitive Emotion Regulation Questionnaire Short Form (CERQ-short)
    The Cognitive Emotion Regulation Questionnaire Short Form (CERQ-short) is a validated, multidimensional questionnaire to identify the cognitive emotion regulation strategies (or cognitive coping strategies) someone uses after having experienced negative events or situations. It measures 18 items on 5-point numeric scales. There are a total of nine subscales measuring the domains of self-blame, acceptance, rumination, positive refocusing, planning, positive reappraisal, putting into perspective, catastrophizing and other-blame. The total scores of the scale range from 0 to 90 points, with higher scores indicate higher cognitive emotional regulation ability.
    Changes of General Self-efficacy Scale (GSS)
    The General Self-Efficacy Scale (GSS) is a self-reported questionnaire designed to assess optimistic self-beliefs to cope with a variety of difficult demands in life. It measures 10 items on 4-point numeric scales. The scores range from 10 to 40 points, with higher scores indicate higher self-efficacy.
    Changes of Depression Anxiety Stress Scales (DASS-21)
    The Depression Anxiety Stress Scales (DASS-21) is a self-reported questionnaire designed to measure the emotional states of depression, anxiety and stress. It consists of three subscales of depression, anxiety and stress, each contains 7 items on 4-point numeric scales. The score of each subscale has to be multiplied by 2 to obtain the total subscale scores. The total scores of each subscale range from 0 to 42 points, with higher scores indicate more severe depression/anxiety/stress symptoms.
    Changes of Impact of Event Scale - Revised (IES-R)
    The Impact of Event Scale - Revised (IES-R) is self-reported measure that assesses subjective distress caused by traumatic events. It measures 22-items on 5-point numeric scales. The scores range from 0 to 88 points, with higher scores indicate more severe Post-Traumatic Stress Disorder symptoms.

    Full Information

    First Posted
    July 11, 2022
    Last Updated
    May 7, 2023
    Sponsor
    The Hong Kong Polytechnic University
    search

    1. Study Identification

    Unique Protocol Identification Number
    NCT05459896
    Brief Title
    A Health Apps for Post-Pandemic Years for People With Physiological and Psychosocial Distress
    Official Title
    A Health Apps for Post-Pandemic Years (HAPPY) for People With Physiological and Psychosocial Distress During the Post-Pandemic Era
    Study Type
    Interventional

    2. Study Status

    Record Verification Date
    May 2023
    Overall Recruitment Status
    Not yet recruiting
    Study Start Date
    August 1, 2023 (Anticipated)
    Primary Completion Date
    March 31, 2025 (Anticipated)
    Study Completion Date
    September 30, 2026 (Anticipated)

    3. Sponsor/Collaborators

    Responsible Party, by Official Title
    Principal Investigator
    Name of the Sponsor
    The Hong Kong Polytechnic University

    4. Oversight

    Studies a U.S. FDA-regulated Drug Product
    No
    Studies a U.S. FDA-regulated Device Product
    No
    Data Monitoring Committee
    Yes

    5. Study Description

    Brief Summary
    The negative impacts on physical and psychological health brought by COVID-19 seem to perpetuate in the post-pandemic era. It is estimated that there will be an impending mental health crisis in the general population in the aftermath of the pandemic due to the delayed negative impacts of COVID-19 and the associated non-pharmaceutical public health interventions such as social distancing, quarantining, and lockdown. Smart Health, defined as the provision of medical and public healthcare services by using mobile technologies, is a cost-effective and easily operated intervention that can provide various functions and can bring significant changes in people's health behaviour, such as prompting them to adopt a physically active lifestyle. Despite the rapid growth of digital health technology, most of them were developed during pandemic with a focus on delivering non-systematic, general virtual healthcare to people. The aim of this study is 1) to develop a Health Apps for Post-Pandemic Years (HAPPY) driven by the Transactional Model of Stress and Coping Theory, and 2) to evaluate its efficacy of alleviating people's physiological and psychosocial distress during post-pandemic era. A total of 814 eligible participants, both COVID-19 victims and non-COVID-19 victims exhibiting physiological and/or psychosocial distress during post-pandemic era, will be recruited and randomized to either the experimental or the waitlist control group. The experimental group will receive a 24-week intervention combined with an 8-week regular supervision phase plus a 16-week self-help phase. Participants will receive different coping strategies, namely physical training, energy conservation techniques and mindfulness-based coping in the intervention hub at Level 2 based on participants' assessments at Level 1, and enhance self-management at Level 3. Participants' physical activity levels will be measured using commercial wearable sensors. The waitlist control group will receive materials on the promotion of physical and psychological health during waiting period and receive the same intervention as the experimental group in week 25. It is hypothesized that the experimental group will exhibit milder symptoms of physiological and psychosocial distress, and have a more positive appraisal mindset, greater self-efficacy, and more sustainable self-management ability than participants in the waitlist control group.
    Detailed Description
    Studies indicate that during the pandemic, people, particularly those COVID-19 survivors, are more likely to experience distress symptoms, including physical fatigue, decreased sleep quality, and body pain than during normal times. The abovementioned impacts on health can affect everyone during the COVID-19 pandemic. These negative impacts on physical and psychological health also seem to perpetuate in the post-pandemic era. It is estimated that there will be an impending mental health crisis in the general population in the aftermath of the pandemic due to the delayed negative impacts of COVID-19 and the associated non-pharmaceutical public health interventions such as social distancing, quarantining, and lockdown. Studies showed that around 10-30% of people who have contracted COVID-19 present with post-COVID-19 conditions, or "Long COVID", and among all the symptoms, physical and psychological complications such as depression, anxiety and reduced quality of life are commonly reported. This indicates an urgent need to identify an evidence-based intervention to address the health issues of people whose health has been affected by COVID-19. Smart Health is defined as the provision of medical and public healthcare services by using mobile technologies, such as mobile phones, tablet devices, personal digital assistants (PDAs), and other wireless devices. A smart health intervention is a cost-effective and easily operated intervention that can provide various functions, including self-monitoring, data collection, real-time feedback, and notifications. Appropriate use of smart health-based interventions can bring significant changes in people's health behaviour, such as prompting them to adopt a physically active lifestyle. In a systematic review of 12 studies with a total of 3,469 participants, in which the effects of mobile app-based interventions were compared with those of the usual care, significant effects on health outcomes were found from using mobile apps to manage chronic diseases, such as improved physical functioning and increased medication adherence. Despite the rapid growth of digital health technology, most of them were developed during pandemic with a focus on delivering non-systematic, general virtual healthcare to people. This research gap gives us the impetus to develop a 24-week intervention guided by an innovative three-level (Prevention, Protection and Progression) Health Apps for Post-Pandemic Years (here-and-after as HAPPY) driven by the Transactional Model of Stress and Coping Theory (TMSCT) to address COVID-related physical and psychosocial distress symptoms of people during the post-pandemic era. The TMSCT emphasizes the use of appraisals to evaluate the harm, threats, and challenges that result in the process of coping with stressful events. The level of stress experienced (in the form of thoughts, emotions, and behaviours) as a result of external stressors depends on appraisals of the situation, which involves a judgement about whether the internal or external demands exceed an individual's resources and ability to cope when the demands exceed the resources. Positive emotions will be elicited when individuals are capable of resolving stressors with the utilisation of both internal (e.g. cognitive appraisals, emotion regulation) and external resources (e.g. social support, access to new knowledge and skills), while negative emotions will be elicited as a result of unresolved distress. This protocol aims to evaluate the immediate effects (eight weeks after weekly supervised sessions, i.e. on the 8th week) and the mid-term effects (six months when the intervention has been completed; i.e., on the 24th week) of the HAPPY for alleviating people's physiological and psychosocial distress during the post-pandemic era. It is hypothesised that the experimental group will 1) exhibit greater improvement in physiological and psychosocial distress and 2) have a more positive appraisal mindset, greater self-efficacy, and more sustainable self-management ability than participants in the waitlist control group.

    6. Conditions and Keywords

    Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
    Physiological Stress, Psychological Distress, COVID-19 Stress Syndrome
    Keywords
    Smart Health, COVID-19, Psychosocial distress, Intervention, Physical Activity

    7. Study Design

    Primary Purpose
    Treatment
    Study Phase
    Not Applicable
    Interventional Study Model
    Parallel Assignment
    Model Description
    A single-blinded, two-arm randomized controlled trial consisting of experimental and waitlist groups will be adopted to examine the effects of the Health Apps for Post-Pandemic Years (HAPPY) for alleviating people's physiological and psychosocial distress during the post-pandemic era.
    Masking
    Outcomes Assessor
    Masking Description
    The researchers who perform the outcome assessment and analysis will be blinded to the group allocations of participants.
    Allocation
    Randomized
    Enrollment
    814 (Anticipated)

    8. Arms, Groups, and Interventions

    Arm Title
    Experimental Group
    Arm Type
    Experimental
    Arm Description
    Participants in the experimental group will be triaged to receive different types of interventions at Level 2, namely physical activity training, mindfulness coping strategies and energy conservation techniques, based on participants' screening and outcome assessment results at Level 1. These interventions will be taught in the 8-week regular supervision phase and self-practice during the 16-week self-help phase. The features in the Health Apps for Post-Pandemic Years (HAPPY) will be introduced to the participants in the first two sessions. In the other six sessions participants will be provided guidance in practicing the assigned intervention. Participants will self-practice the assigned intervention at home during 16-week self-help phase. At Level 3 Self-management, participants will be encouraged to work through a total of six thematic modules which aim to enhance participants' favourable appraisals of the current stress factors, to reduce stress levels and improve coping.
    Arm Title
    Waitlist Control Group
    Arm Type
    No Intervention
    Arm Description
    Participants in the waitlist control group will receive materials on the promotion of physical and psychological health during the waiting period. Participants will then receive the same 24-week intervention as the experimental group in Week 25 after completing the baseline assessment.
    Intervention Type
    Behavioral
    Intervention Name(s)
    Physical Activity Training
    Intervention Description
    Participants who exhibit both physical and psychosocial distress will be recommended to receive physical activity intervention. An approach of adding game mechanics into an interactive environment that combines live action and an award system will be integrated into the intervention. The physical training involves 15-min resistance training and 30-min interactive cardio dancing each with beginner and advanced levels. Participants are recommended to start with the beginner level and do the exercises on regular intervals during the intervention period. The Light Detection and Ranging (LiDAR) motion sensor with tablet-based console and the full-body tracking sensor will be used to capture real-time data on participants' human body movements in order to enhance understanding of performance. Participants will get a commercial wearable sensor. Participants will be asked to wear the sensor at all times and sync the data with the Smart Health Platform to self-monitor daily condition.
    Intervention Type
    Other
    Intervention Name(s)
    Mindfulness-based Intervention
    Intervention Description
    Participants who exhibit psychosocial distress will be recommended to receive mindfulness-based intervention which is designed based on the concept of validated Mindfulness-Based Stress Reduction (MBSR) combined with techniques from Mindfulness-Based Cognitive Therapy (MBCT). The intervention consists of 10 sessions, each session has different main themes and associated activities including body scan, mindful eating, abdominal breathing, chair yoga, awareness of breathing, mindful walking, breathing, body and emotions, yoga stretching, mindful listening and choiceless awreness. The materials will be delivered in the format of animation videos. Participants will be asked to complete one session per week.
    Intervention Type
    Other
    Intervention Name(s)
    Energy Conservation Techniques
    Intervention Description
    Participants who exhibit physiological symptoms will be recommended to receive energy savings intervention which is co-developed by the local Occupational Therapy Association. The intervention consists of six session, each session has different topics and associated energy savings techniques related to particular circumstances, such as the six principle of energy conservation, application of energy conservation in the domains of self-care, household tasks, outdoor activities and work. The materials will be delivered in the format of animation videos. Participants will be asked to complete one session per week. Revision quiz will be given to understand the learning progress of participants.
    Primary Outcome Measure Information:
    Title
    Changes of Kessler Psychological Distress Scale (K10)
    Description
    The Kessler Psychological Distress Scale (K10) is a simple measure of psychological distress which involves 10 questions about emotional states each with a five-level response scale. The scores on this scale range from 10 to 50 points, with lower scores reflecting better psychological health status. A cutoff value of ≥ 20 on the K10 scale indicates psychological distress.
    Time Frame
    Change from baseline to 24 weeks after the programme
    Secondary Outcome Measure Information:
    Title
    Changes of Brief Fatigue Inventory (BFI)
    Description
    The Brief Fatigue Inventory (BFI) measures nine items on 10-point numeric scales for fatigue level and interference with daily life. A global fatigue score can be obtained by averaging all the items on the BFI. The total scores range from 0-10 points, with higher scores indicate greater fatigue. A cutoff value ≥ 4 on the BFI scale indicates intervention for fatigue.
    Time Frame
    Change from baseline to 24 weeks after the programme
    Title
    Changes of Pittsburgh Sleep Quality Index (PSQI)
    Description
    The Pittsburgh Sleep Quality Index (PSQI) is a self-reported questionnaire that assesses sleep quality over a 1-month time interval. The measure consists of 19 individual items, creating 7 components that produce one global score. The scores range from 0 to 21 points, with higher scores indicate poor sleep quality. A cutoff value > 5 indicates poor sleep quality.
    Time Frame
    Change from baseline to 24 weeks after the programme
    Title
    Changes of Numerical Pain Scale (NPS)
    Description
    The Numerical Pain Scale (NPS) is a self-reported questionnaire consists of 1 question measuring pain intensity. The scores range from 0 to 10, with higher scores indicate greater pain. A cutoff value > 3 indicates greater pain.
    Time Frame
    Change from baseline to 24 weeks after the programme
    Title
    Changes of Cognitive Emotion Regulation Questionnaire Short Form (CERQ-short)
    Description
    The Cognitive Emotion Regulation Questionnaire Short Form (CERQ-short) is a validated, multidimensional questionnaire to identify the cognitive emotion regulation strategies (or cognitive coping strategies) someone uses after having experienced negative events or situations. It measures 18 items on 5-point numeric scales. There are a total of nine subscales measuring the domains of self-blame, acceptance, rumination, positive refocusing, planning, positive reappraisal, putting into perspective, catastrophizing and other-blame. The total scores of the scale range from 0 to 90 points, with higher scores indicate higher cognitive emotional regulation ability.
    Time Frame
    Change from baseline to 24 weeks after the programme
    Title
    Changes of General Self-efficacy Scale (GSS)
    Description
    The General Self-Efficacy Scale (GSS) is a self-reported questionnaire designed to assess optimistic self-beliefs to cope with a variety of difficult demands in life. It measures 10 items on 4-point numeric scales. The scores range from 10 to 40 points, with higher scores indicate higher self-efficacy.
    Time Frame
    Change from baseline to 24 weeks after the programme
    Title
    Changes of Depression Anxiety Stress Scales (DASS-21)
    Description
    The Depression Anxiety Stress Scales (DASS-21) is a self-reported questionnaire designed to measure the emotional states of depression, anxiety and stress. It consists of three subscales of depression, anxiety and stress, each contains 7 items on 4-point numeric scales. The score of each subscale has to be multiplied by 2 to obtain the total subscale scores. The total scores of each subscale range from 0 to 42 points, with higher scores indicate more severe depression/anxiety/stress symptoms.
    Time Frame
    Change from baseline to 24 weeks after the programme
    Title
    Changes of Impact of Event Scale - Revised (IES-R)
    Description
    The Impact of Event Scale - Revised (IES-R) is self-reported measure that assesses subjective distress caused by traumatic events. It measures 22-items on 5-point numeric scales. The scores range from 0 to 88 points, with higher scores indicate more severe Post-Traumatic Stress Disorder symptoms.
    Time Frame
    Change from baseline to 24 weeks after the programme

    10. Eligibility

    Sex
    All
    Minimum Age & Unit of Time
    18 Years
    Maximum Age & Unit of Time
    70 Years
    Accepts Healthy Volunteers
    No
    Eligibility Criteria
    Inclusion Criteria: Aged 18 and older; Exhibiting physiological and/or psychosocial distress: A cutoff value of ≥ 20 in the Kessler Psychological Distress Scale (K10) will be used to indicate participants with psychological distress. A cutoff value of ≥ 4 on the Brief Fatigue Inventory (BFI) indicate participants with physical fatigue; A cutoff value of > 5 on the Pittsburgh Sleep Quality Index (PSQI) indicate participants with decreased sleep quality; A cutoff value of > 3 on the Numerical Pain Scale (NPS) indicates participants with pain, including headaches, upset stomach, and other forms of pain Has access to the Internet and a smart phone Exclusion Criteria: Individuals with any health conditions that could hamper participation in the Health Apps for Post-Pandemic Years (HAPPY), such as severe cognitive, visual, or hearing impairments.
    Central Contact Person:
    First Name & Middle Initial & Last Name or Official Title & Degree
    Justina Liu, PhD
    Phone
    (852) 2766 4097
    Email
    justina.liu@polyu.edu.hk
    First Name & Middle Initial & Last Name or Official Title & Degree
    Amy Cheung, MA
    Phone
    (852) 2766 6763
    Email
    amy-ka-po.cheung@polyu.edu.hk
    Overall Study Officials:
    First Name & Middle Initial & Last Name & Degree
    Justina Liu, PhD
    Organizational Affiliation
    The Hong Kong Polytechnic University
    Official's Role
    Principal Investigator

    12. IPD Sharing Statement

    Plan to Share IPD
    No
    IPD Sharing Plan Description
    For confidentiality, the data will be kept anonymous and the information of all participants will be replaced by reference codes. The data collected will be kept in a locked place and electronic versions will be encrypted, and only be accessible by the researchers. All data will be destroyed within 7 years after the completion of this research.
    Citations:
    PubMed Identifier
    32570296
    Citation
    Kontoangelos K, Economou M, Papageorgiou C. Mental Health Effects of COVID-19 Pandemia: A Review of Clinical and Psychological Traits. Psychiatry Investig. 2020 Jun;17(6):491-505. doi: 10.30773/pi.2020.0161. Epub 2020 Jun 15.
    Results Reference
    background
    PubMed Identifier
    32858431
    Citation
    Soklaridis S, Lin E, Lalani Y, Rodak T, Sockalingam S. Mental health interventions and supports during COVID- 19 and other medical pandemics: A rapid systematic review of the evidence. Gen Hosp Psychiatry. 2020 Sep-Oct;66:133-146. doi: 10.1016/j.genhosppsych.2020.08.007. Epub 2020 Aug 22.
    Results Reference
    background
    PubMed Identifier
    33606657
    Citation
    Rauschenberg C, Schick A, Hirjak D, Seidler A, Paetzold I, Apfelbacher C, Riedel-Heller SG, Reininghaus U. Evidence Synthesis of Digital Interventions to Mitigate the Negative Impact of the COVID-19 Pandemic on Public Mental Health: Rapid Meta-review. J Med Internet Res. 2021 Mar 10;23(3):e23365. doi: 10.2196/23365.
    Results Reference
    background
    PubMed Identifier
    33519545
    Citation
    Cheung T, Lam SC, Lee PH, Xiang YT, Yip PSF; International Research Collaboration on COVID-19. Global Imperative of Suicidal Ideation in 10 Countries Amid the COVID-19 Pandemic. Front Psychiatry. 2021 Jan 13;11:588781. doi: 10.3389/fpsyt.2020.588781. eCollection 2020.
    Results Reference
    background
    PubMed Identifier
    33192697
    Citation
    Bressington DT, Cheung TCC, Lam SC, Suen LKP, Fong TKH, Ho HSW, Xiang YT. Association Between Depression, Health Beliefs, and Face Mask Use During the COVID-19 Pandemic. Front Psychiatry. 2020 Oct 22;11:571179. doi: 10.3389/fpsyt.2020.571179. eCollection 2020.
    Results Reference
    background
    PubMed Identifier
    32735218
    Citation
    Kwan RY, Lee D, Lee PH, Tse M, Cheung DS, Thiamwong L, Choi KS. Effects of an mHealth Brisk Walking Intervention on Increasing Physical Activity in Older People With Cognitive Frailty: Pilot Randomized Controlled Trial. JMIR Mhealth Uhealth. 2020 Jul 31;8(7):e16596. doi: 10.2196/16596.
    Results Reference
    background
    PubMed Identifier
    32466251
    Citation
    Choi EPH, Hui BPH, Wan EYF. Depression and Anxiety in Hong Kong during COVID-19. Int J Environ Res Public Health. 2020 May 25;17(10):3740. doi: 10.3390/ijerph17103740.
    Results Reference
    background
    PubMed Identifier
    32765321
    Citation
    Lam SC, Arora T, Grey I, Suen LKP, Huang EY, Li D, Lam KBH. Perceived Risk and Protection From Infection and Depressive Symptoms Among Healthcare Workers in Mainland China and Hong Kong During COVID-19. Front Psychiatry. 2020 Jul 15;11:686. doi: 10.3389/fpsyt.2020.00686. eCollection 2020.
    Results Reference
    background
    PubMed Identifier
    29458358
    Citation
    Lee JA, Choi M, Lee SA, Jiang N. Effective behavioral intervention strategies using mobile health applications for chronic disease management: a systematic review. BMC Med Inform Decis Mak. 2018 Feb 20;18(1):12. doi: 10.1186/s12911-018-0591-0.
    Results Reference
    background
    PubMed Identifier
    33614680
    Citation
    Kwan RYC, Lee PH, Cheung DSK, Lam SC. Face Mask Wearing Behaviors, Depressive Symptoms, and Health Beliefs Among Older People During the COVID-19 Pandemic. Front Med (Lausanne). 2021 Feb 5;8:590936. doi: 10.3389/fmed.2021.590936. eCollection 2021.
    Results Reference
    background
    PubMed Identifier
    33500389
    Citation
    Li W, Zhao N, Yan X, Zou S, Wang H, Li Y, Xu X, Du X, Zhang L, Zhang Q, Cheung T, Ungvari GS, Ng CH, Xiang YT. The prevalence of depressive and anxiety symptoms and their associations with quality of life among clinically stable older patients with psychiatric disorders during the COVID-19 pandemic. Transl Psychiatry. 2021 Jan 26;11(1):75. doi: 10.1038/s41398-021-01196-y.
    Results Reference
    background
    PubMed Identifier
    32739713
    Citation
    Liu JY, Kor PP, Chan CP, Kwan RY, Sze-Ki D. The effectiveness of a wearable activity tracker (WAT)-based intervention to improve physical activity levels in sedentary older adults: A systematic review and meta-analysis. Arch Gerontol Geriatr. 2020 Jul 26;91:104211. doi: 10.1016/j.archger.2020.104211. Online ahead of print. Erratum In: Arch Gerontol Geriatr. 2021 Jul-Aug;95:104420.
    Results Reference
    background
    Citation
    Hung, S. C., Ho, A. Y., Lai, I. H., Lee, C. S., Pong, A. S., & Lai, F. H. (2020). Meta-analysis on the effectiveness of Virtual Reality Cognitive Training (VRCT) and Computer-Based Cognitive Training (CBCT) for individuals with Mild Cognitive Impairment (MCI). Electronics, 9(12), 2185.DOI:10.3390/electronics9122185
    Results Reference
    background
    PubMed Identifier
    32873496
    Citation
    Lai FH, Yan EW, Yu KK, Tsui WS, Chan DT, Yee BK. The Protective Impact of Telemedicine on Persons With Dementia and Their Caregivers During the COVID-19 Pandemic. Am J Geriatr Psychiatry. 2020 Nov;28(11):1175-1184. doi: 10.1016/j.jagp.2020.07.019. Epub 2020 Aug 8.
    Results Reference
    background
    Citation
    Zhou, C. C. J. W. T., Chu, J., Wang, T., Peng, Q., He, J., Zheng, W., ... & Xu, L. (2008). Reliability and validity of 10-item Kessler scale (K10) Chinese version in evaluation of mental health status of Chinese population. Chinese Journal of Clinical Psychology, 16(6), 627-629. DOI:10.16128/j.cnki.1005-3611.2008.06.026
    Results Reference
    background
    Citation
    World Health Organization. (2011). mHealth: New horizons for health through mobile technologies: Second global survey on eHealth. WHO Press. http://www.who.int/goe/publications/goe_mhealth_web.pdf
    Results Reference
    background
    PubMed Identifier
    15050660
    Citation
    Wang XS, Hao XS, Wang Y, Guo H, Jiang YQ, Mendoza TR, Cleeland CS. Validation study of the Chinese version of the Brief Fatigue Inventory (BFI-C). J Pain Symptom Manage. 2004 Apr;27(4):322-32. doi: 10.1016/j.jpainsymman.2003.09.008.
    Results Reference
    background
    Citation
    Chong, A. M. L., & Cheung, C. K. (2012). Factor structure of a Cantonese-version Pittsburgh Sleep Quality Index. Sleep and Biological Rhythms, 10(2), 118-125. https://doi.org/10.1111/j.1479-8425.2011.00532.x
    Results Reference
    background
    PubMed Identifier
    29731662
    Citation
    Alghadir AH, Anwer S, Iqbal A, Iqbal ZA. Test-retest reliability, validity, and minimum detectable change of visual analog, numerical rating, and verbal rating scales for measurement of osteoarthritic knee pain. J Pain Res. 2018 Apr 26;11:851-856. doi: 10.2147/JPR.S158847. eCollection 2018.
    Results Reference
    background
    PubMed Identifier
    29953304
    Citation
    Compen F, Bisseling E, Schellekens M, Donders R, Carlson L, van der Lee M, Speckens A. Face-to-Face and Internet-Based Mindfulness-Based Cognitive Therapy Compared With Treatment as Usual in Reducing Psychological Distress in Patients With Cancer: A Multicenter Randomized Controlled Trial. J Clin Oncol. 2018 Aug 10;36(23):2413-2421. doi: 10.1200/JCO.2017.76.5669. Epub 2018 Jun 28.
    Results Reference
    background
    PubMed Identifier
    33558661
    Citation
    Galvao DA, Newton RU, Chambers SK, Spry N, Joseph D, Gardiner RA, Fairman CM, Taaffe DR. Psychological distress in men with prostate cancer undertaking androgen deprivation therapy: modifying effects of exercise from a year-long randomized controlled trial. Prostate Cancer Prostatic Dis. 2021 Sep;24(3):758-766. doi: 10.1038/s41391-021-00327-2. Epub 2021 Feb 8.
    Results Reference
    background
    PubMed Identifier
    26551405
    Citation
    Stubbs B, Vancampfort D, Rosenbaum S, Ward PB, Richards J, Soundy A, Veronese N, Solmi M, Schuch FB. Dropout from exercise randomized controlled trials among people with depression: A meta-analysis and meta regression. J Affect Disord. 2016 Jan 15;190:457-466. doi: 10.1016/j.jad.2015.10.019. Epub 2015 Oct 29.
    Results Reference
    background
    Citation
    Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. New York: Springer Publishing Company.
    Results Reference
    background
    Citation
    OTCOC. (2016). Energy conservation techniques: Pulmonary rehabilitation educational booklet. Hong Kong Hospital Authority.
    Results Reference
    background
    Citation
    Garnefski, N., & Kraaij, V. (2006). Cognitive emotion regulation questionnaire-development of a short 18-item version (CERQ-short). Personality and Individual Differences, 41(6), 1045-1053. https://doi.org/10.1016/j.paid.2006.04.010
    Results Reference
    background
    PubMed Identifier
    15167116
    Citation
    Chiu FP, Tsang HW. Validation of the Chinese general self-efficacy scale among individuals with schizophrenia in Hong Kong. Int J Rehabil Res. 2004 Jun;27(2):159-61. doi: 10.1097/01.mrr.0000127640.55118.6b.
    Results Reference
    background
    PubMed Identifier
    26619091
    Citation
    Wang K, Shi HS, Geng FL, Zou LQ, Tan SP, Wang Y, Neumann DL, Shum DH, Chan RC. Cross-cultural validation of the Depression Anxiety Stress Scale-21 in China. Psychol Assess. 2016 May;28(5):e88-e100. doi: 10.1037/pas0000207. Epub 2015 Nov 30.
    Results Reference
    background
    PubMed Identifier
    12563552
    Citation
    Wu KK, Chan KS. The development of the Chinese version of Impact of Event Scale--Revised (CIES-R). Soc Psychiatry Psychiatr Epidemiol. 2003 Feb;38(2):94-8. doi: 10.1007/s00127-003-0611-x.
    Results Reference
    background
    PubMed Identifier
    33007688
    Citation
    Kwan RYC, Liu JYW, Lee D, Tse CYA, Lee PH. A validation study of the use of smartphones and wrist-worn ActiGraphs to measure physical activity at different levels of intensity and step rates in older people. Gait Posture. 2020 Oct;82:306-312. doi: 10.1016/j.gaitpost.2020.09.022. Epub 2020 Sep 28.
    Results Reference
    background
    PubMed Identifier
    26180873
    Citation
    Global Recommendations on Physical Activity for Health. Geneva: World Health Organization; 2010. Available from http://www.ncbi.nlm.nih.gov/books/NBK305057/
    Results Reference
    background
    PubMed Identifier
    21679426
    Citation
    Hart TL, Swartz AM, Cashin SE, Strath SJ. How many days of monitoring predict physical activity and sedentary behaviour in older adults? Int J Behav Nutr Phys Act. 2011 Jun 16;8:62. doi: 10.1186/1479-5868-8-62.
    Results Reference
    background
    PubMed Identifier
    24765212
    Citation
    Gorman E, Hanson HM, Yang PH, Khan KM, Liu-Ambrose T, Ashe MC. Accelerometry analysis of physical activity and sedentary behavior in older adults: a systematic review and data analysis. Eur Rev Aging Phys Act. 2014;11(1):35-49. doi: 10.1007/s11556-013-0132-x. Epub 2013 Sep 17.
    Results Reference
    background
    PubMed Identifier
    25517396
    Citation
    Lee JA, Williams SM, Brown DD, Laurson KR. Concurrent validation of the Actigraph gt3x+, Polar Active accelerometer, Omron HJ-720 and Yamax Digiwalker SW-701 pedometer step counts in lab-based and free-living settings. J Sports Sci. 2015;33(10):991-1000. doi: 10.1080/02640414.2014.981848. Epub 2014 Dec 17.
    Results Reference
    background
    PubMed Identifier
    31303745
    Citation
    Ji L, Chow SM, Schermerhorn AC, Jacobson NC, Cummings EM. Handling Missing Data in the Modeling of Intensive Longitudinal Data. Struct Equ Modeling. 2018;25(5):715-736. doi: 10.1080/10705511.2017.1417046. Epub 2018 Feb 8.
    Results Reference
    background

    Learn more about this trial

    A Health Apps for Post-Pandemic Years for People With Physiological and Psychosocial Distress

    We'll reach out to this number within 24 hrs