- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02281513
Activity and Nutrition Trial in Lupus to Energize and Renew (ANTLER)
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Description of ANTLER pilot intervention: a 6 week intensive program which combines the following goals
- Ability of participants to utilize a smart phone application for self-monitoring behavior change of physical activity, fruit/vegetable consumption, and sleep. This would include entering data on fruit/vegetable consumption, hours of sleep and monitoring feedback.
- Ability of participants to wear Actigraph accelerometer 24 hours/day and complete a sleep log for measurement of physical activity and sleep.
- Ability of Nutrition Data System for Research (NDSR) software to collect adequate nutrition data.
The intervention is a unique combination of two individual counseling sessions and the utilization of a combination of a smartphone application and the use of a Fitbit physical activity monitor. The individual sessions will provide a tailored personalized intervention including problem-solving and goal setting for increasing physical activity, consumption of more fruits and vegetables, and getting more sleep. Healthy Lifestyle Coaches (RN or Exercise Physiologist) will be responsible for conducting the individual sessions for a limited caseload of participants.
Individual sessions will
- utilize motivational interviewing techniques to enhance motivation for meeting individualized physical activity, dietary/nutritional and sleep goals
- identify specific barriers and supports leading to tailored intervention to increase program success (The Arthritis Comprehensive Treatment Assessment)
- provide emotional support
Self-monitoring of behavior change
- On a daily basis, participants will log fruit/vegetable consumption and hours of sleep via a smartphone application and receive feedback
- On a daily basis, participants will monitor their physical activity via the Fitbit and receive feedback on the smartphone.
Online activities will include communication between the client and coach in between and after scheduled intervention visits.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Illinois
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Chicago, Illinois, United States, 60611
- Northwestern University
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-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- 1) meet at least 4 of 11 ACR classification criteria for definite SLE 2) at least 18 years of age, 3) BMI between 14 and 40 kg/m2, 4) able to ambulate at least household distances (50ft), 5) ability to complete the dietary recall assessment, and 6) able to provide informed consent.
After informed consent is obtained, a medical record review will determine whether there is a history of uncontrolled diabetes mellitus or cardiovascular disease. Potential participants will be asked to complete the PAR-Q to determine restriction in physical activity. Blood pressure will be assessed and potential participants will be excluded if SBP>160 or DBP >110.
Exclusion Criteria:
- Does not meet inclusion criteria
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Other: ANTLER Pilot Cohort
Pilot study participants will be provided the smartphone application, fitbit activity monitor, and coaching sessions.
|
Is a self-monitoring tool to document fruit and vegetable consumption, sleep quantity and quality, and physical activity
Other Names:
Is connected to this smartphone application so that participants who wear this monitor have data that automatically populates the smartphone application for physical activity.
Using motivational interviewing (a counseling style used in helping persons change their behavior) at baseline after completion of all baseline assessments and at follow up after completion of all follow up assessments.
Coaching session includes discussion of facilitators and barriers to increasing physical activity, fruit and vegetable consumption and sleep, as well as setting goals to work towards at next meeting.
The coach will monitor the information that the participant enters into the smartphone application and will provide feedback on a weekly basis to the participant.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Measurement of Fatigue
Time Frame: Up to 6 weeks
|
It is measured by the Fatigue Severity Scale and the PROMIS Fatigue Short-Form online via the Assessment Center.
Change from baseline to 6-week follow-up is measured.
The Fatigue Severity Scale is 9 items scored on a 7-point scale from 1= strongly disagree to 7=strongly agree.
Minimum score =9 and maximum score=63.
Higher score=greater fatigue severity.
The PROMIS Fatigue Short Form is 8 items looking back at the past 7 days assessing amount of fatigue and trouble getting things done because of fatigue on a 5-point scale.
|
Up to 6 weeks
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
PA, Diet Assessments and Sleep
Time Frame: Up to 6 weeks
|
Physical activity is measured objectively by accelerometer worn for 7 days, 24 hours per day and maintenance of a sleep log and self-report of activity by the International Physical Activity Questionnaire (IPAQ) by interview based on the 7 days that the accelerometer is worn.
Fruit/vegetable consumption is measured by the Nutrition Data System for Research per interview.
Sleep is measured by the PROMIS sleep disturbance and sleep-related impairment Short Forms online via the Assessment Center.
Change from baseline to 6-week follow-up is measured for all of these secondary outcomes.
|
Up to 6 weeks
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Rosalind Ramsey-Goldman, MD, DrPH, Northwestern University
Publications and helpful links
General Publications
- Krupp LB, LaRocca NG, Muir-Nash J, Steinberg AD. The fatigue severity scale. Application to patients with multiple sclerosis and systemic lupus erythematosus. Arch Neurol. 1989 Oct;46(10):1121-3. doi: 10.1001/archneur.1989.00520460115022.
- Mancuso CA, Perna M, Sargent AB, Salmon JE. Perceptions and measurements of physical activity in patients with systemic lupus erythematosus. Lupus. 2011 Mar;20(3):231-42. doi: 10.1177/0961203310383737. Epub 2010 Dec 23.
- Matthews CE, Ainsworth BE, Thompson RW, Bassett DR Jr. Sources of variance in daily physical activity levels as measured by an accelerometer. Med Sci Sports Exerc. 2002 Aug;34(8):1376-81. doi: 10.1097/00005768-200208000-00021.
- Chandrasekhara PK, Jayachandran NV, Rajasekhar L, Thomas J, Narsimulu G. The prevalence and associations of sleep disturbances in patients with systemic lupus erythematosus. Mod Rheumatol. 2009;19(4):407-15. doi: 10.1007/s10165-009-0185-x. Epub 2009 Jun 12.
- Da Costa D, Bernatsky S, Dritsa M, Clarke AE, Dasgupta K, Keshani A, Pineau C. Determinants of sleep quality in women with systemic lupus erythematosus. Arthritis Rheum. 2005 Apr 15;53(2):272-8. doi: 10.1002/art.21069.
- Ehrlich-Jones L, Mallinson T, Fischer H, Bateman J, Semanik PA, Spring B, Ruderman E, Chang RW. Increasing physical activity in patients with arthritis: a tailored health promotion program. Chronic Illn. 2010 Dec;6(4):272-81. doi: 10.1177/1742395309351243. Epub 2010 Aug 9.
- Stephens 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.
- Miller W, Rollnick S. Motivational Interviewing: Preparing People for Change. 2nd edition ed. New York: Guilford Press; 2002.
- Burke LE, Wang J, Sevick MA. Self-monitoring in weight loss: a systematic review of the literature. J Am Diet Assoc. 2011 Jan;111(1):92-102. doi: 10.1016/j.jada.2010.10.008.
- Hutchesson MJ, Rollo ME, Callister R, Collins CE. Self-monitoring of dietary intake by young women: online food records completed on computer or smartphone are as accurate as paper-based food records but more acceptable. J Acad Nutr Diet. 2015 Jan;115(1):87-94. doi: 10.1016/j.jand.2014.07.036. Epub 2014 Sep 26.
- Mohr DC, Cuijpers P, Lehman K. Supportive accountability: a model for providing human support to enhance adherence to eHealth interventions. J Med Internet Res. 2011 Mar 10;13(1):e30. doi: 10.2196/jmir.1602.
- Warburton DE, Gledhill N, Jamnik VK, Bredin SS, McKenzie DC, Stone J, Charlesworth S, Shephard RJ. Evidence-based risk assessment and recommendations for physical activity clearance: Consensus Document 2011. Appl Physiol Nutr Metab. 2011 Jul;36 Suppl 1:S266-98. doi: 10.1139/h11-062.
Helpful Links
Study record dates
Study Major Dates
Study Start
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimated)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- STU 69201
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
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