A Mobile Health App to Reduce Sedentary Time in Inactive Employees
Testing the Efficacy of the ENCOURAGE App in Decreasing Sedentary Behaviour: A Time Series Quasi-Experimental Study
1 other identifier
interventional
300
1 country
1
Brief Summary
The ENCOURAGE App will use mobile health technology to support employees to reduce their sedentary time and become more physically active. The mobile app has been developed using time management techniques (i.e. Pomodoro technique) as a strategy to provide prompts to encourage users to engage in an activity and break up bouts of prolonged sitting.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Jan 2018
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
October 12, 2017
CompletedFirst Posted
Study publicly available on registry
January 18, 2018
CompletedStudy Start
First participant enrolled
January 31, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 1, 2018
CompletedStudy Completion
Last participant's last visit for all outcomes
January 1, 2019
CompletedJanuary 18, 2018
January 1, 2018
7 months
October 12, 2017
January 10, 2018
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Number of breaks from sitting
This outcome will be assessed by self-report using the Workplace Sitting Breaks Questionnaire.
Change from baseline number of breaks from sitting at 1-month
Secondary Outcomes (19)
Number of breaks from sitting
Change from baseline number of breaks from sitting at 1-week, 2-months, 3-months, 4-months, 5-months, and 6-months
Duration of breaks from sitting
Change from baseline duration of breaks from sitting at 1-week, 1-month, 2-month, 3-month, 4-month, 5-month, 6-month
Percent time spent sitting at work
Change from baseline percent time spent sitting at work at 1-week, 1-month, 2-month, 3-month, 4-month, 5-month, 6-month
Percent time spent standing at work
Change from baseline percent time spent standing at work at 1-week, 1-month, 2-month, 3-month, 4-month, 5-month, 6-month
Percent time spent walking at work
Change from baseline percent time spent walking at work at 1-week, 1-month, 2-month, 3-month, 4-month, 5-month, 6-month
- +14 more secondary outcomes
Study Arms (1)
ENCOURAGE App Intervention
EXPERIMENTALUsers will download the ENCOURAGE mobile app. The App uses a time management technique (i.e. Pomodoro technique) as a strategy to provide prompts for users to engage in an activity. The App can be customized by the users to set prompts at intervals that fit into their schedule. For example, these activities can range from a stretching activity (e.g., a neck stretch), a standing activity (e.g., stand and read), or a physical activity (e.g., fill up the printer with paper, do a squat). Additionally, the App will use Behaviour Change Techniques as a strategy to support participants as they reduce their sedentary behaviour and improve their physical activity levels. The App uses a series of Behavior Change Techniques shown to be effective in promoting a more active lifestyle.
Interventions
Users will have an opportunity to engage with the app as described for the duration of the study period.
Eligibility Criteria
You may qualify if:
- Specific to sub-sample of 60 participants; live in Winnipeg, MB
You may not qualify if:
- Individuals who do not own a personal mobile phone
- Any physical limitations that would not allow individual to engage in physical activity
- Any cognitive limitations that would not allow individual to consent for study
- Specific to sub-sample of 60 participants; live outside Winnipeg, MB
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- St. Boniface Hospitallead
- Heart and Stroke Foundation Manitobacollaborator
- Tactica Interactive Winnipegcollaborator
Study Sites (1)
St-Boniface Hospital Albrechtsen Research Center
Winnipeg, Manitoba, R2H 2A6, Canada
Related Publications (40)
Stamatakis E, Hamer M, Dunstan DW. Screen-based entertainment time, all-cause mortality, and cardiovascular events: population-based study with ongoing mortality and hospital events follow-up. J Am Coll Cardiol. 2011 Jan 18;57(3):292-9. doi: 10.1016/j.jacc.2010.05.065.
PMID: 21232666BACKGROUNDDunstan DW, Barr EL, Healy GN, Salmon J, Shaw JE, Balkau B, Magliano DJ, Cameron AJ, Zimmet PZ, Owen N. Television viewing time and mortality: the Australian Diabetes, Obesity and Lifestyle Study (AusDiab). Circulation. 2010 Jan 26;121(3):384-91. doi: 10.1161/CIRCULATIONAHA.109.894824. Epub 2010 Jan 11.
PMID: 20065160BACKGROUNDWilmot EG, Edwardson CL, Achana FA, Davies MJ, Gorely T, Gray LJ, Khunti K, Yates T, Biddle SJ. Sedentary time in adults and the association with diabetes, cardiovascular disease and death: systematic review and meta-analysis. Diabetologia. 2012 Nov;55(11):2895-905. doi: 10.1007/s00125-012-2677-z. Epub 2012 Aug 14.
PMID: 22890825BACKGROUNDThorp AA, Owen N, Neuhaus M, Dunstan DW. Sedentary behaviors and subsequent health outcomes in adults a systematic review of longitudinal studies, 1996-2011. Am J Prev Med. 2011 Aug;41(2):207-15. doi: 10.1016/j.amepre.2011.05.004.
PMID: 21767729BACKGROUNDProper KI, Singh AS, van Mechelen W, Chinapaw MJ. Sedentary behaviors and health outcomes among adults: a systematic review of prospective studies. Am J Prev Med. 2011 Feb;40(2):174-82. doi: 10.1016/j.amepre.2010.10.015.
PMID: 21238866BACKGROUNDvan Uffelen JG, Wong J, Chau JY, van der Ploeg HP, Riphagen I, Gilson ND, Burton NW, Healy GN, Thorp AA, Clark BK, Gardiner PA, Dunstan DW, Bauman A, Owen N, Brown WJ. Occupational sitting and health risks: a systematic review. Am J Prev Med. 2010 Oct;39(4):379-88. doi: 10.1016/j.amepre.2010.05.024.
PMID: 20837291BACKGROUNDColley RC, Garriguet D, Janssen I, Craig CL, Clarke J, Tremblay MS. Physical activity of Canadian adults: accelerometer results from the 2007 to 2009 Canadian Health Measures Survey. Health Rep. 2011 Mar;22(1):7-14.
PMID: 21510585BACKGROUNDThorp AA, Healy GN, Winkler E, Clark BK, Gardiner PA, Owen N, Dunstan DW. Prolonged sedentary time and physical activity in workplace and non-work contexts: a cross-sectional study of office, customer service and call centre employees. Int J Behav Nutr Phys Act. 2012 Oct 26;9:128. doi: 10.1186/1479-5868-9-128.
PMID: 23101767BACKGROUNDTew GA, Posso MC, Arundel CE, McDaid CM. Systematic review: height-adjustable workstations to reduce sedentary behaviour in office-based workers. Occup Med (Lond). 2015 Jul;65(5):357-66. doi: 10.1093/occmed/kqv044. Epub 2015 May 1.
PMID: 25934982BACKGROUNDNeuhaus M, Healy GN, Dunstan DW, Owen N, Eakin EG. Workplace sitting and height-adjustable workstations: a randomized controlled trial. Am J Prev Med. 2014 Jan;46(1):30-40. doi: 10.1016/j.amepre.2013.09.009.
PMID: 24355669BACKGROUNDEvans RE, Fawole HO, Sheriff SA, Dall PM, Grant PM, Ryan CG. Point-of-choice prompts to reduce sitting time at work: a randomized trial. Am J Prev Med. 2012 Sep;43(3):293-7. doi: 10.1016/j.amepre.2012.05.010.
PMID: 22898122BACKGROUNDShrestha N, Kukkonen-Harjula KT, Verbeek JH, Ijaz S, Hermans V, Bhaumik S. Workplace interventions for reducing sitting at work. Cochrane Database Syst Rev. 2016 Mar 17;3(3):CD010912. doi: 10.1002/14651858.CD010912.pub3.
PMID: 26984326BACKGROUNDVerweij LM, Proper KI, Weel AN, Hulshof CT, van Mechelen W. The application of an occupational health guideline reduces sedentary behaviour and increases fruit intake at work: results from an RCT. Occup Environ Med. 2012 Jul;69(7):500-7. doi: 10.1136/oemed-2011-100377. Epub 2012 Mar 1.
PMID: 22383591BACKGROUNDAllen JC, Lewis JB, Tagliaferro AR. Cost-effectiveness of health risk reduction after lifestyle education in the small workplace. Prev Chronic Dis. 2012;9:E96. doi: 10.5888/pcd9.110169. Epub 2012 May 10.
PMID: 22575081BACKGROUNDFree C, Phillips G, Galli L, Watson L, Felix L, Edwards P, Patel V, Haines A. The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: a systematic review. PLoS Med. 2013;10(1):e1001362. doi: 10.1371/journal.pmed.1001362. Epub 2013 Jan 15.
PMID: 23349621BACKGROUNDHurling R, Catt M, Boni MD, Fairley BW, Hurst T, Murray P, Richardson A, Sodhi JS. Using internet and mobile phone technology to deliver an automated physical activity program: randomized controlled trial. J Med Internet Res. 2007 Apr 27;9(2):e7. doi: 10.2196/jmir.9.2.e7.
PMID: 17478409BACKGROUNDStephens J, Allen J. Mobile phone interventions to increase physical activity and reduce weight: a systematic review. J Cardiovasc Nurs. 2013 Jul-Aug;28(4):320-9. doi: 10.1097/JCN.0b013e318250a3e7.
PMID: 22635061BACKGROUNDFanning J, Mullen SP, McAuley E. Increasing physical activity with mobile devices: a meta-analysis. J Med Internet Res. 2012 Nov 21;14(6):e161. doi: 10.2196/jmir.2171.
PMID: 23171838BACKGROUNDAbraham C, Michie S. A taxonomy of behavior change techniques used in interventions. Health Psychol. 2008 May;27(3):379-87. doi: 10.1037/0278-6133.27.3.379.
PMID: 18624603BACKGROUNDMichie S, Richardson M, Johnston M, Abraham C, Francis J, Hardeman W, Eccles MP, Cane J, Wood CE. The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med. 2013 Aug;46(1):81-95. doi: 10.1007/s12160-013-9486-6.
PMID: 23512568BACKGROUNDMohr DC, Cheung K, Schueller SM, Hendricks Brown C, Duan N. Continuous evaluation of evolving behavioral intervention technologies. Am J Prev Med. 2013 Oct;45(4):517-23. doi: 10.1016/j.amepre.2013.06.006.
PMID: 24050429BACKGROUNDCollins LM, Murphy SA, Strecher V. The multiphase optimization strategy (MOST) and the sequential multiple assignment randomized trial (SMART): new methods for more potent eHealth interventions. Am J Prev Med. 2007 May;32(5 Suppl):S112-8. doi: 10.1016/j.amepre.2007.01.022.
PMID: 17466815BACKGROUNDKumar S, Nilsen WJ, Abernethy A, Atienza A, Patrick K, Pavel M, Riley WT, Shar A, Spring B, Spruijt-Metz D, Hedeker D, Honavar V, Kravitz R, Lefebvre RC, Mohr DC, Murphy SA, Quinn C, Shusterman V, Swendeman D. Mobile health technology evaluation: the mHealth evidence workshop. Am J Prev Med. 2013 Aug;45(2):228-36. doi: 10.1016/j.amepre.2013.03.017.
PMID: 23867031BACKGROUNDWilliams SL, French DP. What are the most effective intervention techniques for changing physical activity self-efficacy and physical activity behaviour--and are they the same? Health Educ Res. 2011 Apr;26(2):308-22. doi: 10.1093/her/cyr005. Epub 2011 Feb 14.
PMID: 21321008BACKGROUNDChan AW, Tetzlaff JM, Altman DG, Laupacis A, Gotzsche PC, Krleza-Jeric K, Hrobjartsson A, Mann H, Dickersin K, Berlin JA, Dore CJ, Parulekar WR, Summerskill WS, Groves T, Schulz KF, Sox HC, Rockhold FW, Rennie D, Moher D. SPIRIT 2013 statement: defining standard protocol items for clinical trials. Ann Intern Med. 2013 Feb 5;158(3):200-7. doi: 10.7326/0003-4819-158-3-201302050-00583.
PMID: 23295957BACKGROUNDEysenbach G; CONSORT-EHEALTH Group. CONSORT-EHEALTH: improving and standardizing evaluation reports of Web-based and mobile health interventions. J Med Internet Res. 2011 Dec 31;13(4):e126. doi: 10.2196/jmir.1923.
PMID: 22209829BACKGROUNDProchaska JO, DiClemente CC. Stages and processes of self-change of smoking: toward an integrative model of change. J Consult Clin Psychol. 1983 Jun;51(3):390-5. doi: 10.1037//0022-006x.51.3.390. No abstract available.
PMID: 6863699BACKGROUNDMichie S, Ashford S, Sniehotta FF, Dombrowski SU, Bishop A, French DP. A refined taxonomy of behaviour change techniques to help people change their physical activity and healthy eating behaviours: the CALO-RE taxonomy. Psychol Health. 2011 Nov;26(11):1479-98. doi: 10.1080/08870446.2010.540664. Epub 2011 Jun 28.
PMID: 21678185BACKGROUNDPedisic Z, Bennie JA, Timperio AF, Crawford DA, Dunstan DW, Bauman AE, Salmon J. Workplace Sitting Breaks Questionnaire (SITBRQ): an assessment of concurrent validity and test-retest reliability. BMC Public Health. 2014 Dec 5;14:1249. doi: 10.1186/1471-2458-14-1249.
PMID: 25476788BACKGROUNDMaclagan LC, Park J, Sanmartin C, Mathur KR, Roth D, Manuel DG, Gershon A, Booth GL, Bhatia S, Atzema CL, Tu JV. The CANHEART health index: a tool for monitoring the cardiovascular health of the Canadian population. CMAJ. 2014 Feb 18;186(3):180-7. doi: 10.1503/cmaj.131358. Epub 2013 Dec 23.
PMID: 24366893BACKGROUNDKroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001 Sep;16(9):606-13. doi: 10.1046/j.1525-1497.2001.016009606.x.
PMID: 11556941BACKGROUNDBlumenthal JA. Depression and coronary heart disease: association and implications for treatment. Cleve Clin J Med. 2008 Mar;75 Suppl 2:S48-53. doi: 10.3949/ccjm.75.suppl_2.s48.
PMID: 18540147BACKGROUNDGodin G, Shephard RJ. A simple method to assess exercise behavior in the community. Can J Appl Sport Sci. 1985 Sep;10(3):141-6.
PMID: 4053261BACKGROUNDChau JY, Van Der Ploeg HP, Dunn S, Kurko J, Bauman AE. Validity of the occupational sitting and physical activity questionnaire. Med Sci Sports Exerc. 2012 Jan;44(1):118-25. doi: 10.1249/MSS.0b013e3182251060.
PMID: 21659903BACKGROUNDRothney MP, Schaefer EV, Neumann MM, Choi L, Chen KY. Validity of physical activity intensity predictions by ActiGraph, Actical, and RT3 accelerometers. Obesity (Silver Spring). 2008 Aug;16(8):1946-52. doi: 10.1038/oby.2008.279. Epub 2008 May 29.
PMID: 18535553BACKGROUNDColley RC, Tremblay MS. Moderate and vigorous physical activity intensity cut-points for the Actical accelerometer. J Sports Sci. 2011 May;29(8):783-9. doi: 10.1080/02640414.2011.557744.
PMID: 21424979BACKGROUNDWelk GJ, Schaben JA, Morrow JR Jr. Reliability of accelerometry-based activity monitors: a generalizability study. Med Sci Sports Exerc. 2004 Sep;36(9):1637-45.
PMID: 15354049BACKGROUNDHolmen H, Torbjornsen A, Wahl AK, Jenum AK, Smastuen MC, Arsand E, Ribu L. A Mobile Health Intervention for Self-Management and Lifestyle Change for Persons With Type 2 Diabetes, Part 2: One-Year Results From the Norwegian Randomized Controlled Trial RENEWING HEALTH. JMIR Mhealth Uhealth. 2014 Dec 11;2(4):e57. doi: 10.2196/mhealth.3882.
PMID: 25499872BACKGROUNDKannisto KA, Korhonen J, Adams CE, Koivunen MH, Vahlberg T, Valimaki MA. Factors Associated With Dropout During Recruitment and Follow-Up Periods of a mHealth-Based Randomized Controlled Trial for Mobile.Net to Encourage Treatment Adherence for People With Serious Mental Health Problems. J Med Internet Res. 2017 Feb 21;19(2):e46. doi: 10.2196/jmir.6417.
PMID: 28223262BACKGROUNDFukuoka Y, Gay C, Haskell W, Arai S, Vittinghoff E. Identifying Factors Associated With Dropout During Prerandomization Run-in Period From an mHealth Physical Activity Education Study: The mPED Trial. JMIR Mhealth Uhealth. 2015 Apr 13;3(2):e34. doi: 10.2196/mhealth.3928.
PMID: 25872754BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Masking Details
- Outcome Assessors will not be aware of previous research data collected. As this is a single group study, all participants will receive the intervention as described.
- Purpose
- PREVENTION
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
October 12, 2017
First Posted
January 18, 2018
Study Start
January 31, 2018
Primary Completion
September 1, 2018
Study Completion
January 1, 2019
Last Updated
January 18, 2018
Record last verified: 2018-01
Data Sharing
- IPD Sharing
- Will not share
We do not intend to share individual participant data with researchers outside of the principal and co-investigators.