Cardiovascular Diseases Clinical Trial
— GET FITOfficial title:
Fitness Intensive Therapy (Get FIT) to Promote Healthy Living in Older Adults
Verified date | November 2022 |
Source | University of California, Irvine |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
This study, "Fitness Intensive Therapy (Get FIT) to Promote Healthy Living in Older Adults", will test a mobile-health based intervention which includes use of a Fitbit activity tracker for 3 months, a smartphone application that tracks daily food intake, and one 45 minute counseling session to create personal goals and provide patient education by a health coach; versus Get FIT+ (the same items) plus personalized text messages focusing on participant's activity and nutrition progress as monitored in the app, from the health coach for 3 months. The investigators will measure the impact on participant's diet, physical activity, clinical outcomes, psychosocial well-being, and engagement.
Status | Completed |
Enrollment | 54 |
Est. completion date | March 12, 2022 |
Est. primary completion date | March 12, 2022 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 60 Years and older |
Eligibility | Inclusion Criteria: - aged 60 or greater - at intermediate (10-20%) or high risk (>20%) of developing cardiovascular disease (as measured by Framingham Risk Assessment Tool) - poor eating behaviors (as measured by Block Fruit/Vegetable/Fiber Screener) - reduced physical activity (as measured by Block Adult Physical Activity Screener) Exclusion Criteria: - cognitive impairment (as measured by Mini-Cog) that impairs ability to understand consent process, surveys, or use of mobile health devices - chronic drug use - end stage renal, liver, or pulmonary disease - current active cancer (i.e., undergoing active treatment for cancer) - gastrointestinal disease which requires a special diet (e.g. Crohn's, celiac, etc). |
Country | Name | City | State |
---|---|---|---|
United States | University of California, Irvine Federally Qualified Health Clinic | Anaheim | California |
United States | The Regents of the University of California, Irvine - Institute for Clinical & Translational Science (ICTS) | Irvine | California |
United States | University of California, Irvine Medical Clinic (Gottschalk) | Irvine | California |
United States | The University of California, Irvine Medical Center | Orange | California |
United States | University of California, Irvine Federally Qualified Health Clinic | Santa Ana | California |
Lead Sponsor | Collaborator |
---|---|
University of California, Irvine |
United States,
Appel LJ, Brands MW, Daniels SR, Karanja N, Elmer PJ, Sacks FM; American Heart Association. Dietary approaches to prevent and treat hypertension: a scientific statement from the American Heart Association. Hypertension. 2006 Feb;47(2):296-308. — View Citation
Areán PA, Alvidrez J, Nery R, Estes C, Linkins K. Recruitment and retention of older minorities in mental health services research. Gerontologist. 2003 Feb;43(1):36-44. — View Citation
Bodenheimer T, Wagner EH, Grumbach K. Improving primary care for patients with chronic illness: the chronic care model, Part 2. JAMA. 2002 Oct 16;288(15):1909-14. — View Citation
Borson S, Scanlan J, Brush M, Vitaliano P, Dokmak A. The mini-cog: a cognitive 'vital signs' measure for dementia screening in multi-lingual elderly. Int J Geriatr Psychiatry. 2000 Nov;15(11):1021-7. — View Citation
Borson S, Scanlan JM, Watanabe J, Tu SP, Lessig M. Simplifying detection of cognitive impairment: comparison of the Mini-Cog and Mini-Mental State Examination in a multiethnic sample. J Am Geriatr Soc. 2005 May;53(5):871-4. — View Citation
Burke LE, Styn MA, Glanz K, Ewing LJ, Elci OU, Conroy MB, Sereika SM, Acharya SD, Music E, Keating AL, Sevick MA. SMART trial: A randomized clinical trial of self-monitoring in behavioral weight management-design and baseline findings. Contemp Clin Trials. 2009 Nov;30(6):540-51. doi: 10.1016/j.cct.2009.07.003. Epub 2009 Aug 7. — View Citation
Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373-83. — View Citation
Chomutare T, Fernandez-Luque L, Arsand E, Hartvigsen G. Features of mobile diabetes applications: review of the literature and analysis of current applications compared against evidence-based guidelines. J Med Internet Res. 2011 Sep 22;13(3):e65. doi: 10.2196/jmir.1874. Review. — View Citation
Courtney KL, Demiris G, Rantz M, Skubic M. Needing smart home technologies: the perspectives of older adults in continuing care retirement communities. Inform Prim Care. 2008;16(3):195-201. — View Citation
Curran GM, Bauer M, Mittman B, Pyne JM, Stetler C. Effectiveness-implementation hybrid designs: combining elements of clinical effectiveness and implementation research to enhance public health impact. Med Care. 2012 Mar;50(3):217-26. doi: 10.1097/MLR.0b013e3182408812. — View Citation
Demiris G, Thompson H, Boquet J, Le T, Chaudhuri S, Chung J. Older adults' acceptance of a community-based telehealth wellness system. Inform Health Soc Care. 2013 Jan;38(1):27-36. doi: 10.3109/17538157.2011.647938. Epub 2012 May 9. — View Citation
DiMatteo MR, Giordani PJ, Lepper HS, Croghan TW. Patient adherence and medical treatment outcomes: a meta-analysis. Med Care. 2002 Sep;40(9):794-811. — View Citation
Dracup K, Evangelista LS, Hamilton MA, Erickson V, Hage A, Moriguchi J, Canary C, MacLellan WR, Fonarow GC. Effects of a home-based exercise program on clinical outcomes in heart failure. Am Heart J. 2007 Nov;154(5):877-83. Epub 2007 Sep 12. — View Citation
Elmer PJ, Obarzanek E, Vollmer WM, Simons-Morton D, Stevens VJ, Young DR, Lin PH, Champagne C, Harsha DW, Svetkey LP, Ard J, Brantley PJ, Proschan MA, Erlinger TP, Appel LJ; PREMIER Collaborative Research Group. Effects of comprehensive lifestyle modification on diet, weight, physical fitness, and blood pressure control: 18-month results of a randomized trial. Ann Intern Med. 2006 Apr 4;144(7):485-95. — View Citation
Ford ES, Ajani UA, Croft JB, Critchley JA, Labarthe DR, Kottke TE, Giles WH, Capewell S. Explaining the decrease in U.S. deaths from coronary disease, 1980-2000. N Engl J Med. 2007 Jun 7;356(23):2388-98. — View Citation
Frediani JK, Reilly CM, Higgins M, Clark PC, Gary RA, Dunbar SB. Quality and adequacy of dietary intake in a southern urban heart failure population. J Cardiovasc Nurs. 2013 Mar-Apr;28(2):119-28. doi: 10.1097/JCN.0b013e318242279e. — View Citation
Goldstein DJ. Beneficial health effects of modest weight loss. Int J Obes Relat Metab Disord. 1992 Jun;16(6):397-415. Review. — View Citation
Hall AK, Stellefson M, Bernhardt JM. Healthy Aging 2.0: the potential of new media and technology. Prev Chronic Dis. 2012;9:E67. Epub 2012 Mar 8. — View Citation
Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009 Apr;42(2):377-81. doi: 10.1016/j.jbi.2008.08.010. Epub 2008 Sep 30. — View Citation
Hayes DK, Denny CH, Keenan NL, Croft JB, Sundaram AA, Greenlund KJ. Racial/Ethnic and socioeconomic differences in multiple risk factors for heart disease and stroke in women: behavioral risk factor surveillance system, 2003. J Womens Health (Larchmt). 2006 Nov;15(9):1000-8. — View Citation
Heil DP. Predicting activity energy expenditure using the Actical activity monitor. Res Q Exerc Sport. 2006 Mar;77(1):64-80. — View Citation
Hertzog MA. Considerations in determining sample size for pilot studies. Res Nurs Health. 2008 Apr;31(2):180-91. doi: 10.1002/nur.20247. Review. — View Citation
Jain A, Persaud JW, Rao N, Harvey D, Robertson L, Nirmal L, Nirmal D, Thomas M, Mikhailidis DP, Nair DR. Point of care testing is appropriate for National Health Service health check. Ann Clin Biochem. 2011 Mar;48(Pt 2):159-65. doi: 10.1258/acb.2010.010195. Epub 2011 Feb 25. — View Citation
Jaja C, Pares-Avila J, Wolpin S, Berry D. Usability evaluation of the interactive Personal Patient Profile-Prostate decision support system with African American men. J Natl Med Assoc. 2010 Apr;102(4):290-7. — View Citation
Kottke TE, Faith DA, Jordan CO, Pronk NP, Thomas RJ, Capewell S. The comparative effectiveness of heart disease prevention and treatment strategies. Am J Prev Med. 2009 Jan;36(1):82-88. doi: 10.1016/j.amepre.2008.09.010. Review. — View Citation
Kouris I, Mougiakakou S, Scarnato L, Iliopoulou D, Diem P, Vazeou A, Koutsouris D. Mobile phone technologies and advanced data analysis towards the enhancement of diabetes self-management. Int J Electron Healthc. 2010;5(4):386-402. Review. — View Citation
Kravitz RL, Hays RD, Sherbourne CD, DiMatteo MR, Rogers WH, Ordway L, Greenfield S. Recall of recommendations and adherence to advice among patients with chronic medical conditions. Arch Intern Med. 1993 Aug 23;153(16):1869-78. — View Citation
Kyung Rim Shin, Mi Young Kim, Seung Eun Chung. Methods and strategies utilized in published qualitative research. Qual Health Res. 2009 Jun;19(6):850-8. doi: 10.1177/1049732309335857. — View Citation
Lin JS, O'Connor E, Whitlock EP, Beil TL. Behavioral counseling to promote physical activity and a healthful diet to prevent cardiovascular disease in adults: a systematic review for the U.S. Preventive Services Task Force. Ann Intern Med. 2010 Dec 7;153(11):736-50. doi: 10.7326/0003-4819-153-11-201012070-00007. Review. — View Citation
Maruthur NM, Wang NY, Appel LJ. Lifestyle interventions reduce coronary heart disease risk: results from the PREMIER Trial. Circulation. 2009 Apr 21;119(15):2026-31. doi: 10.1161/CIRCULATIONAHA.108.809491. Epub 2009 Apr 6. — View Citation
Moser DK, Dickson V, Jaarsma T, Lee C, Stromberg A, Riegel B. Role of self-care in the patient with heart failure. Curr Cardiol Rep. 2012 Jun;14(3):265-75. doi: 10.1007/s11886-012-0267-9. Review. — View Citation
Nam S, Han HR, Song HJ, Song Y, Kim KB, Kim MT. Utility of a point-of-care device in recruiting ethnic minorities for diabetes research with community partners. J Health Care Poor Underserved. 2011 Nov;22(4):1253-63. doi: 10.1353/hpu.2011.0117. — View Citation
Osborn CY, Egede LE. Validation of an Information-Motivation-Behavioral Skills model of diabetes self-care (IMB-DSC). Patient Educ Couns. 2010 Apr;79(1):49-54. doi: 10.1016/j.pec.2009.07.016. Epub 2009 Aug 21. — View Citation
Panz VR, Raal FJ, Paiker J, Immelman R, Miles H. Performance of the CardioChek PA and Cholestech LDX point-of-care analysers compared to clinical diagnostic laboratory methods for the measurement of lipids. Cardiovasc J S Afr. 2005 Mar-Apr;16(2):112-7. — View Citation
Parekh AK, Goodman RA, Gordon C, Koh HK; HHS Interagency Workgroup on Multiple Chronic Conditions. Managing multiple chronic conditions: a strategic framework for improving health outcomes and quality of life. Public Health Rep. 2011 Jul-Aug;126(4):460-71. — View Citation
Parker C, Philp I. Screening for cognitive impairment among older people in black and minority ethnic groups. Age Ageing. 2004 Sep;33(5):447-52. Epub 2004 Jun 24. — View Citation
Pickering TG, Hall JE, Appel LJ, Falkner BE, Graves JW, Hill MN, Jones DH, Kurtz T, Sheps SG, Roccella EJ; Council on High Blood Pressure Research Professional and Public Education Subcommittee, American Heart Association. Recommendations for blood pressure measurement in humans: an AHA scientific statement from the Council on High Blood Pressure Research Professional and Public Education Subcommittee. J Clin Hypertens (Greenwich). 2005 Feb;7(2):102-9. — View Citation
Revicki DA, Israel RG. Relationship between body mass indices and measures of body adiposity. Am J Public Health. 1986 Aug;76(8):992-4. — View Citation
Riegel B, Lee CS, Dickson VV; Medscape. Self care in patients with chronic heart failure. Nat Rev Cardiol. 2011 Jul 19;8(11):644-54. doi: 10.1038/nrcardio.2011.95. Review. — View Citation
Riegel B, Moser DK, Powell M, Rector TS, Havranek EP. Nonpharmacologic care by heart failure experts. J Card Fail. 2006 Mar;12(2):149-153. — View Citation
Romanelli J, Fauerbach JA, Bush DE, Ziegelstein RC. The significance of depression in older patients after myocardial infarction. J Am Geriatr Soc. 2002 May;50(5):817-22. — View Citation
Schakel SF. Maintaining a nutrient database in a changing marketplace: Keeping pace with changing food products-- A research perspective. Journal of Food Composition and Analysis 2001;14:315-322.
Schneider KM, O'Donnell BE, Dean D. Prevalence of multiple chronic conditions in the United States' Medicare population. Health Qual Life Outcomes. 2009 Sep 8;7:82. doi: 10.1186/1477-7525-7-82. — View Citation
Shemesh T, Rowley KG, Shephard M, Piers LS, O'Dea K. Agreement between laboratory results and on-site pathology testing using Bayer DCA2000+ and Cholestech LDX point-of-care methods in remote Australian Aboriginal communities. Clin Chim Acta. 2006 May;367(1-2):69-76. Epub 2006 Jan 4. — View Citation
Sherbourne CD, Stewart AL. The MOS social support survey. Soc Sci Med. 1991;32(6):705-14. — View Citation
Stepleman L, Rutter MC, Hibbard J, Johns L, Wright D, Hughes M. Validation of the patient activation measure in a multiple sclerosis clinic sample and implications for care. Disabil Rehabil. 2010;32(19):1558-67. doi: 10.3109/09638280903567885. — View Citation
Svetkey LP, Erlinger TP, Vollmer WM, Feldstein A, Cooper LS, Appel LJ, Ard JD, Elmer PJ, Harsha D, Stevens VJ. Effect of lifestyle modifications on blood pressure by race, sex, hypertension status, and age. J Hum Hypertens. 2005 Jan;19(1):21-31. — View Citation
Tothill P, James Hannan W. Dual-energy X-ray absorptiometry measurements of fat and lean masses in subjects with eating disorders. Int J Obes Relat Metab Disord. 2004 Jul;28(7):912-9. — View Citation
Webb TL, Joseph J, Yardley L, Michie S. Using the internet to promote health behavior change: a systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy. J Med Internet Res. 2010 Feb 17;12(1):e4. doi: 10.2196/jmir.1376. Review. — View Citation
Westlake C, Evangelista LS, Strömberg A, Ter-Galstanyan A, Vazirani S, Dracup K. Evaluation of a Web-based education and counseling pilot program for older heart failure patients. Prog Cardiovasc Nurs. 2007 Winter;22(1):20-6. — View Citation
Wilson PW, D'Agostino RB, Levy D, Belanger AM, Silbershatz H, Kannel WB. Prediction of coronary heart disease using risk factor categories. Circulation. 1998 May 12;97(18):1837-47. — View Citation
WRITING GROUP MEMBERS, Lloyd-Jones D, Adams RJ, Brown TM, Carnethon M, Dai S, De Simone G, Ferguson TB, Ford E, Furie K, Gillespie C, Go A, Greenlund K, Haase N, Hailpern S, Ho PM, Howard V, Kissela B, Kittner S, Lackland D, Lisabeth L, Marelli A, McDermott MM, Meigs J, Mozaffarian D, Mussolino M, Nichol G, Roger VL, Rosamond W, Sacco R, Sorlie P, Roger VL, Thom T, Wasserthiel-Smoller S, Wong ND, Wylie-Rosett J; American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Heart disease and stroke statistics--2010 update: a report from the American Heart Association. Circulation. 2010 Feb 23;121(7):e46-e215. doi: 10.1161/CIRCULATIONAHA.109.192667. Epub 2009 Dec 17. Erratum in: Circulation. 2010 Mar 30;121(12):e260. Stafford, Randall [corrected to Roger, Véronique L]. Circulation. 2011 Oct 18;124(16):e425. — View Citation
Yusuf S, Hawken S, Ounpuu S, Dans T, Avezum A, Lanas F, McQueen M, Budaj A, Pais P, Varigos J, Lisheng L; INTERHEART Study Investigators. Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study. Lancet. 2004 Sep 11-17;364(9438):937-52. — View Citation
Ziegelstein RC, Fauerbach JA, Stevens SS, Romanelli J, Richter DP, Bush DE. Patients with depression are less likely to follow recommendations to reduce cardiac risk during recovery from a myocardial infarction. Arch Intern Med. 2000 Jun 26;160(12):1818-23. — View Citation
* Note: There are 54 references in all — Click here to view all references
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Change from Baseline adherence to recommended self-care behaviors at 3 months and 6 months | The Medical Outcomes Study Specific Adherence Scale measures patient adherence to 8 recommended health behaviors (3 items on specific diet/nutrition, 1 item on smoking cessation, 1 item on alcoholic beverages, 1 item on taking prescribed medications, 1 item on regular exercise, 1 item on weight/fluid, 1 item on symptom management). Participants circle the answer that best corresponds to their behavior in the last 4 weeks ("None of the time; 1-A little of the time; 2-Some of the time; 3-A good bit of the time; 4-Most of the time; 5-All of the time"). Scoring is the average of the items for a total specific adherence score. | baseline, 3 months, 6 months | |
Primary | Change from Baseline diet patterns at 3 months and 6 months | 3-Day Food Record (ASA24); data from self-recorded diet as entered in smartphone application (My Fitness Pal©) | baseline, 3 months, 6 months | |
Primary | Change from baseline physical activity levels at 3 months and 6 months | data from Fitbit activity tracker as recorded in smartphone application (My Fitness Pal©) | baseline, 3 months, 6 months | |
Secondary | change from baseline in HgA1c | HgA1c as obtained by venous puncture and blood analysis | baseline, 3 months, 6 months | |
Secondary | Change from baseline in Anxiety and Depression symptoms | Anxiety and depression symptoms as measured by the Hospital Anxiety and Depression Scale (HADS). Subscale scores of Anxiety (range 0-21; lower scores representing "normal" scores) and Depression (range 0-21; lower scores representing "normal" scores). | baseline, 3 months, 6 months | |
Secondary | Change from baseline in patient activation | Patient activation as measured by the Patient Activation Measure | baseline, 3 months, 6 months | |
Secondary | Change from Baseline height in centimeters | height in centimeters as measured by stadiometer | baseline, 3 months, 6 months | |
Secondary | Change from baseline weight in kilograms | weight in kilograms as measured by professional beam scale | baseline, 3 months, 6 months | |
Secondary | Change from baseline body composition-area | body composition-area (cm2) as measured by dual-energy x-ray absorptiometry (DEXA) | baseline, 6 months | |
Secondary | Change from baseline body composition-Bone Mineral Content (BMC) | body composition - BMC (g) as measured by dual-energy x-ray absorptiometry (DEXA) | baseline, 6 months | |
Secondary | Change from baseline body composition-Bone Mineral Density (BMD) | body composition - BMD (g/cm2) as measured by dual-energy x-ray absorptiometry (DEXA) | baseline, 6 months | |
Secondary | Change from baseline body composition-Fat mass | body composition - fat mass (g) as measured by dual-energy x-ray absorptiometry (DEXA) | baseline, 6 months | |
Secondary | Change from baseline body composition-Lean mass | body composition - lean mass (g) as measured by dual-energy x-ray absorptiometry (DEXA) | baseline, 6 months | |
Secondary | Change from baseline body composition-Total Mass | body composition - total mass (g) as measured by dual-energy x-ray absorptiometry (DEXA) | baseline, 6 months | |
Secondary | Change from baseline body composition-% fat | body composition - % fat as measured by dual-energy x-ray absorptiometry (DEXA) | baseline, 6 months | |
Secondary | Change from baseline in blood pressure | blood pressure as measured by calibrated aneroid sphygmomanometer | baseline, 3 months, 6 months | |
Secondary | Change from baseline in High-Density Lipoproteins (HDL) | HDL as obtained by venous puncture and blood analysis | baseline, 3 months, 6 months | |
Secondary | Change from baseline in Low-Density Lipoproteins (LDL) | LDL as obtained by venous puncture and blood analysis | baseline, 3 months, 6 months | |
Secondary | Change from baseline in Triglycerides | Triglycerides as obtained by venous puncture and blood analysis | baseline, 3 months, 6 months | |
Secondary | Change from baseline in total cholesterol score | total cholesterol score as obtained by venous puncture and blood analysis (HDL+LDL+0.2*triglycerides=total) | baseline, 3 months, 6 months | |
Secondary | change from baseline in quality of life | quality of life as measured by the Quality of Life Short Form version 20 | baseline, 3 months, 6 months | |
Secondary | change from baseline in patterns of use of clinic attendance | patient patterns of use as measured by clinic attendance | baseline, 3 months, 6 months | |
Secondary | change from baseline in patterns of use of mHealth | patient patterns of use as measured by use of mHealth | baseline, 3 months, 6 months | |
Secondary | change from baseline in patterns of use of Retention | patient patterns of use and engagement as measured by Retention (drop out rate and time of drop out) | baseline, 3 months, 6 months | |
Secondary | cost effectiveness | Cost effectiveness of the intervention as calculated by the sum of costs of training, staff salary, frequency/duration of counseling sessions, follow up visits, real time feedback | 6 months |
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