Effectiveness of a Well-being Web-based Intervention
A Randomized Controlled Trial of the Effectiveness of the Web-based Well-being Intervention Daily Challenge
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Massachusetts
-
Boston, Massachusetts, United States, 02116
- MeYou Health office
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Adults (18 years of age or older, 19 years of age or older if participant resides in Alabama or Nebraska)
- Provided informed consent to participate in the study
Exclusion Criteria:
- Does not live in the United States of America
- Has a Facebook friend enrolled in the study
- Fails to complete the informed consent and registration process in the allotted time (45 minutes)
- Gender (recruitment will be titrated to ensure a minimum of 30% male ratio)
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Treatment
Intervention: Daily Challenge
|
Web-based behavioral intervention aiming to improve individuals' well-being.
|
|
No Intervention: Control
Weekly Well-being, an email-based health information delivery service.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Well-being score, as determined by the Healthways Well-Being Assessment
Time Frame: Baseline, 30 days, 90 days
|
Change in well-being score
|
Baseline, 30 days, 90 days
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Interpersonal support score, as evaluated with the Interpersonal Support Evaluation List (ISEL)
Time Frame: Baseline, 30 days, 90 days
|
Change in interpersonal support score.
|
Baseline, 30 days, 90 days
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Josee Poirier, PhD, MeYou Health, LLC
- Study Chair: Nathan K Cobb, MD, MeYou Health, LLC
Publications and helpful links
General Publications
- Hill JO. Can a small-changes approach help address the obesity epidemic? A report of the Joint Task Force of the American Society for Nutrition, Institute of Food Technologists, and International Food Information Council. Am J Clin Nutr. 2009 Feb;89(2):477-84. doi: 10.3945/ajcn.2008.26566. Epub 2008 Dec 16.
- Harrison PL, Pope JE, Coberley CR, Rula EY. Evaluation of the relationship between individual well-being and future health care utilization and cost. Popul Health Manag. 2012 Dec;15(6):325-30. doi: 10.1089/pop.2011.0089. Epub 2012 Feb 22.
- Prochaska JO, Evers KE, Castle PH, Johnson JL, Prochaska JM, Rula EY, Coberley C, Pope JE. Enhancing multiple domains of well-being by decreasing multiple health risk behaviors: a randomized clinical trial. Popul Health Manag. 2012 Oct;15(5):276-86. doi: 10.1089/pop.2011.0060. Epub 2012 Feb 21.
- Heesch KC, Masse LC, Dunn AL, Frankowski RF, Mullen PD. Does adherence to a lifestyle physical activity intervention predict changes in physical activity? J Behav Med. 2003 Aug;26(4):333-48. doi: 10.1023/a:1024205011001.
- Strecher VJ, McClure J, Alexander G, Chakraborty B, Nair V, Konkel J, Greene S, Couper M, Carlier C, Wiese C, Little R, Pomerleau C, Pomerleau O. The role of engagement in a tailored web-based smoking cessation program: randomized controlled trial. J Med Internet Res. 2008 Nov 4;10(5):e36. doi: 10.2196/jmir.1002.
- Hill JO, Wyatt HR, Reed GW, Peters JC. Obesity and the environment: where do we go from here? Science. 2003 Feb 7;299(5608):853-5. doi: 10.1126/science.1079857.
- Eysenbach G. The law of attrition. J Med Internet Res. 2005 Mar 31;7(1):e11. doi: 10.2196/jmir.7.1.e11.
- Christakis NA. Social networks and collateral health effects. BMJ. 2004 Jul 24;329(7459):184-5. doi: 10.1136/bmj.329.7459.184. No abstract available.
- Christakis NA, Fowler JH. The spread of obesity in a large social network over 32 years. N Engl J Med. 2007 Jul 26;357(4):370-9. doi: 10.1056/NEJMsa066082. Epub 2007 Jul 25.
- Christakis NA. Health care in a web. BMJ. 2008 Jun 28;336(7659):1468. doi: 10.1136/bmj.a452.
- Pew Research Center. Social networking sites and our lives (Report). 2011. http:/pewinternet.org/Reports/2011/Technology-and-social-networks.aspx
- Helliwell JF, Putnam RD. The social context of well-being. Philos Trans R Soc Lond B Biol Sci. 2004 Sep 29;359(1449):1435-46. doi: 10.1098/rstb.2004.1522.
- Stata analysis software. Stata Corporation, College Station, TX.
- Tabachnick, B.G. and Fidell, L.S. Using multivariate statistics, 4th Edition, Allyn & Bacon, Needham, MA. 2001.
- Fleiss, J.L. Design and Analysis of Clinical Experiments.1999. Wiley, New York, NY.
- MacKinnon DP, Fairchild AJ, Fritz MS. Mediation analysis. Annu Rev Psychol. 2007;58:593-614. doi: 10.1146/annurev.psych.58.110405.085542.
- Beasley, T.M. Seemingly unrelated regression (SUR) models as a solution to path analytic models with correlated errors. Multiple Linear Regression Viewpoints. 34(1): 1-7, 2008.
- Zellner, A. An efficient method of estimating seemingly unrelated regressions and tests for aggregation bias. J Am Stat Assoc, 57(348-68), 1962.
- Lin DY, Fleming TR, De Gruttola V. Estimating the proportion of treatment effect explained by a surrogate marker. Stat Med. 1997 Jul 15;16(13):1515-27. doi: 10.1002/(sici)1097-0258(19970715)16:133.0.co;2-1.
- Vittinghoff E, Sen S, McCulloch CE. Sample size calculations for evaluating mediation. Stat Med. 2009 Feb 15;28(4):541-57. doi: 10.1002/sim.3491.
- Gleason, T.C. and Staelin, R. A proposal for handling missing data. Psychometrika, 40(2): 229-252, 1975.
- Little, R.J. and Rubin, D.B. Statistical analysis with missing data, 2nd Edition, Wiley, New York, NY. 2002.
- Schafer, J. L. Analysis of Incomplete Multivariate Data. New York, NY: Chapman & Hall, CRC. 2002.
- Cobb NK, Poirier J. Effectiveness of a multimodal online well-being intervention: a randomized controlled trial. Am J Prev Med. 2014 Jan;46(1):41-8. doi: 10.1016/j.amepre.2013.08.018.
Study record dates
Study Major Dates
Study Start
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Estimate)
First Posted
Study Record Updates
Last Update Posted (Estimate)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- DC-EFF-2012
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.