- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05459896
A Health Apps for Post-Pandemic Years for People With Physiological and Psychosocial Distress
A Health Apps for Post-Pandemic Years (HAPPY) for People With Physiological and Psychosocial Distress During the Post-Pandemic Era
Study Overview
Status
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.
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Justina Liu, PhD
- Phone Number: (852) 2766 4097
- Email: justina.liu@polyu.edu.hk
Study Contact Backup
- Name: Amy Cheung, MA
- Phone Number: (852) 2766 6763
- Email: amy-ka-po.cheung@polyu.edu.hk
Study Locations
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Hong Kong, Hong Kong
- Recruiting
- The Hong Kong Polytechnic University
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Contact:
- Amy Cheung, MA
- Phone Number: 4145 +852 27664145
- Email: amy-ka-po.cheung@polyu.edu.hk
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
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.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
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Experimental: Experimental Group
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.
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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.
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.
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.
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No Intervention: Waitlist Control Group
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.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Changes of Kessler Psychological Distress Scale (K10)
Time Frame: Change from baseline to 24 weeks after the programme
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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.
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Change from baseline to 24 weeks after the programme
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Changes of Brief Fatigue Inventory (BFI)
Time Frame: Change from baseline to 24 weeks after the programme
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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.
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Change from baseline to 24 weeks after the programme
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Changes of Pittsburgh Sleep Quality Index (PSQI)
Time Frame: Change from baseline to 24 weeks after the programme
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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.
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Change from baseline to 24 weeks after the programme
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Changes of Numerical Pain Scale (NPS)
Time Frame: Change from baseline to 24 weeks after the programme
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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.
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Change from baseline to 24 weeks after the programme
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Changes of Cognitive Emotion Regulation Questionnaire Short Form (CERQ-short)
Time Frame: Change from baseline to 24 weeks after the programme
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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.
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Change from baseline to 24 weeks after the programme
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Changes of General Self-efficacy Scale (GSS)
Time Frame: Change from baseline to 24 weeks after the programme
|
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.
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Change from baseline to 24 weeks after the programme
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Changes of Depression Anxiety Stress Scales (DASS-21)
Time Frame: Change from baseline to 24 weeks after the programme
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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.
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Change from baseline to 24 weeks after the programme
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Changes of Impact of Event Scale - Revised (IES-R)
Time Frame: Change from baseline to 24 weeks after the programme
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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.
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Change from baseline to 24 weeks after the programme
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Collaborators and Investigators
Investigators
- Principal Investigator: Justina Liu, PhD, The Hong Kong Polytechnic University
Publications and helpful links
General Publications
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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
- 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.
- 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
- 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
- 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.
- 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
- 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.
- 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.
- Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. New York: Springer Publishing Company.
- OTCOC. (2016). Energy conservation techniques: Pulmonary rehabilitation educational booklet. Hong Kong Hospital Authority.
- 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
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Global Recommendations on Physical Activity for Health. Geneva: World Health Organization; 2010. Available from http://www.ncbi.nlm.nih.gov/books/NBK305057/
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- HSEARS20220318003
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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