Personalized Dietary Program and Markers of Wellness
A Clinical Trial to Evaluate the Effects of Proprietary Personalized Dietary Programs on Markers of Health and Wellness, Body Composition, and Quality of Life
1 other identifier
interventional
110
1 country
1
Brief Summary
The objective of this study is to determine the impact of an integrated personalized dietary and wellness program which includes dietary advice, meals, and counseling on health and wellness.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable healthy
Started Oct 2017
Typical duration for not_applicable healthy
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
Study Start
First participant enrolled
October 28, 2017
CompletedFirst Submitted
Initial submission to the registry
January 25, 2018
CompletedFirst Posted
Study publicly available on registry
February 7, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 21, 2018
CompletedStudy Completion
Last participant's last visit for all outcomes
December 21, 2018
CompletedFebruary 25, 2019
February 1, 2019
1.1 years
January 25, 2018
February 22, 2019
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Change in metabolic composite score
A composite score that includes aggregated changes in blood biomarkers (glucose, C-peptide, high-density lipoprotein cholesterol, total cholesterol, and triglyceride levels).
The change between the run-in (control) period (baseline; 10 weeks) and each intervention period (personalized advice + meals or personalized advice only; 10 weeks each)
Secondary Outcomes (19)
Change in blood pressure
The change between the run-in (control) period (baseline; 10 weeks) and each intervention period (personalized advice + meals or personalized advice only; 10 weeks each)
Change in body mass index
The change between the run-in (control) period (baseline; 10 weeks) and each intervention period (personalized advice + meals or personalized advice only; 10 weeks each)
Change in quality of life
The change between the run-in (control) period (baseline; 10 weeks) and each intervention period (personalized advice + meals or personalized advice only; 10 weeks each)
Change in sleep time
The change between the run-in (control) period (baseline; 10 weeks) and each intervention period (personalized advice + meals or personalized advice only; 10 weeks each)
Change in ratings of diet/food behavior
The change between the run-in (control) period (baseline; 10 weeks) and each intervention period (personalized advice + meals or personalized advice only; 10 weeks each)
- +14 more secondary outcomes
Study Arms (1)
Personalized dietary and wellness program
OTHERAn integrated personalized nutrition program which includes a combination of dietary and wellness advice/counseling on wellness and meals, or dietary and wellness advice/counseling alone, each for 10 weeks.
Interventions
Single arm intervention containing three periods: (1) run-in (control), (2) personalized advice/counseling and meals, (3) personalized advice/counseling only
Eligibility Criteria
You may qualify if:
- Male or female, 30-65 years of age, inclusive.
- BMI 18.5-39.9 kilograms per meters squared.
- Willing to follow study program instructions, including consumption of meals on site (5 days/week; breakfast and lunch), consumption of all provided meals, use of a Fitbit®, self-administered capillary blood draws and dried blood spot collection, and visit schedule, where relevant.
- Willing and able to comply with the visit/contact schedule.
- Willing to avoid vigorous activity and alcohol consumption (24 h) and willing to fast (10-14 h, water only) prior to completion of the at-home oral protein glucose lipid tolerance test.
- Normally active and judged to be in good health on the basis of the medical history.
- Understands the study procedures and signs forms providing informed consent to participate in the study and authorization for release of relevant protected health information to the study Investigators.
- Subject has access to an internet-ready device and email.
You may not qualify if:
- A history or presence of clinically important endocrine, cardiovascular, pulmonary, hepatic, renal, hematologic, immunologic, dermatologic, neurologic, psychiatric or biliary disorders that could interfere with the interpretation of the study results.
- A history or presence of a gastrointestinal condition that could potentially interfere with digestion and absorption of the study product including, inflammatory bowel disease, irritable bowel syndrome, chronic constipation, and history of frequent diarrhea; and gastroparesis.
- Uncontrolled hypertension (systolic blood pressure ≥160 mm Hg or diastolic blood pressure ≥100 mm Hg).
- A history or presence of cancer in the prior 2 years, except for non-melanoma skin cancer.
- A history of unconventional sleep patterns.
- Major trauma or a surgical event within 3 months of screening.
- Nicotine users.
- Use of medications which can alter the lipid profile with the exception of stable statin use.
- Unstable use of any thyroid medication.
- Use of antibiotics, hypoglycemic medications, and/or systemic corticosteroids.
- Signs or symptoms of an active infection.
- Current or recent history of drug or alcohol abuse.
- Known allergy and/or sensitivity to the study foods or products.
- Extreme dietary habits (e.g., very high protein diets, vegan, very low carbohydrate, etc.).
- A change (increase or decrease) in body weight of \>10%.
- +2 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Habit, LLClead
- TNOcollaborator
- University of California, San Diegocollaborator
Study Sites (1)
Campbell Soup Company
Camden, New Jersey, 08103, United States
Related Publications (18)
Blaak EE, Hul G, Verdich C, Stich V, Martinez A, Petersen M, Feskens EF, Patel K, Oppert JM, Barbe P, Toubro S, Anderson I, Polak J, Astrup A, Macdonald IA, Langin D, Holst C, Sorensen TI, Saris WH. Fat oxidation before and after a high fat load in the obese insulin-resistant state. J Clin Endocrinol Metab. 2006 Apr;91(4):1462-9. doi: 10.1210/jc.2005-1598. Epub 2006 Jan 31.
PMID: 16449343BACKGROUNDCohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983 Dec;24(4):385-96. No abstract available.
PMID: 6668417BACKGROUNDFriedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 1972 Jun;18(6):499-502. No abstract available.
PMID: 4337382BACKGROUNDHardcastle SJ, Taylor AH, Bailey MP, Harley RA, Hagger MS. Effectiveness of a motivational interviewing intervention on weight loss, physical activity and cardiovascular disease risk factors: a randomised controlled trial with a 12-month post-intervention follow-up. Int J Behav Nutr Phys Act. 2013 Mar 28;10:40. doi: 10.1186/1479-5868-10-40.
PMID: 23537492BACKGROUNDHorne JA, Ostberg O. A self-assessment questionnaire to determine morningness-eveningness in human circadian rhythms. Int J Chronobiol. 1976;4(2):97-110.
PMID: 1027738BACKGROUNDHunot C, Fildes A, Croker H, Llewellyn CH, Wardle J, Beeken RJ. Appetitive traits and relationships with BMI in adults: Development of the Adult Eating Behaviour Questionnaire. Appetite. 2016 Oct 1;105:356-63. doi: 10.1016/j.appet.2016.05.024. Epub 2016 May 20.
PMID: 27215837BACKGROUNDJohnson RK. Dietary intake--how do we measure what people are really eating? Obes Res. 2002 Nov;10 Suppl 1:63S-68S. doi: 10.1038/oby.2002.192. No abstract available.
PMID: 12446861BACKGROUNDKardinaal AF, van Erk MJ, Dutman AE, Stroeve JH, van de Steeg E, Bijlsma S, Kooistra T, van Ommen B, Wopereis S. Quantifying phenotypic flexibility as the response to a high-fat challenge test in different states of metabolic health. FASEB J. 2015 Nov;29(11):4600-13. doi: 10.1096/fj.14-269852. Epub 2015 Jul 21.
PMID: 26198450BACKGROUNDKolodziejczyk JK, Norman GJ, Roesch SC, Rock CL, Arredondo EM, Madanat H, Patrick K. Exploratory and confirmatory factor analyses and demographic correlate models of the strategies for weight management measure for overweight or obese adults. Am J Health Promot. 2015 Mar-Apr;29(4):e147-57. doi: 10.4278/ajhp.130731-QUAN-391. Epub 2014 Mar 26.
PMID: 24670075BACKGROUNDKristal AR, Kolar AS, Fisher JL, Plascak JJ, Stumbo PJ, Weiss R, Paskett ED. Evaluation of web-based, self-administered, graphical food frequency questionnaire. J Acad Nutr Diet. 2014 Apr;114(4):613-21. doi: 10.1016/j.jand.2013.11.017. Epub 2014 Jan 24.
PMID: 24462267BACKGROUNDResnicow K, McMaster F. Motivational Interviewing: moving from why to how with autonomy support. Int J Behav Nutr Phys Act. 2012 Mar 2;9:19. doi: 10.1186/1479-5868-9-19.
PMID: 22385702BACKGROUNDStewart EE, Fox CH. Encouraging patients to change unhealthy behaviors with motivational interviewing. Fam Pract Manag. 2011 May-Jun;18(3):21-5. No abstract available.
PMID: 21842805BACKGROUNDStich C, Knauper B, Tint A. A scenario-based dieting self-efficacy scale: the DIET-SE. Assessment. 2009 Mar;16(1):16-30. doi: 10.1177/1073191108322000. Epub 2008 Aug 14.
PMID: 18703821BACKGROUNDStroeve JHM, van Wietmarschen H, Kremer BHA, van Ommen B, Wopereis S. Phenotypic flexibility as a measure of health: the optimal nutritional stress response test. Genes Nutr. 2015 May;10(3):13. doi: 10.1007/s12263-015-0459-1. Epub 2015 Apr 21.
PMID: 25896408BACKGROUNDTeeter BS, Kavookjian J. Telephone-based motivational interviewing for medication adherence: a systematic review. Transl Behav Med. 2014 Dec;4(4):372-81. doi: 10.1007/s13142-014-0270-3.
PMID: 25584086BACKGROUNDvan Amelsvoort JM, van Stratum P, Kraal JH, Lussenburg RN, Houtsmuller UM. Effects of varying the carbohydrate:fat ratio in a hot lunch on postprandial variables in male volunteers. Br J Nutr. 1989 Mar;61(2):267-83. doi: 10.1079/bjn19890115.
PMID: 2650734BACKGROUNDvan Ommen B, van der Greef J, Ordovas JM, Daniel H. Phenotypic flexibility as key factor in the human nutrition and health relationship. Genes Nutr. 2014 Sep;9(5):423. doi: 10.1007/s12263-014-0423-5. Epub 2014 Aug 9.
PMID: 25106484BACKGROUNDDevelopment of the World Health Organization WHOQOL-BREF quality of life assessment. The WHOQOL Group. Psychol Med. 1998 May;28(3):551-8. doi: 10.1017/s0033291798006667.
PMID: 9626712BACKGROUND
Related Links
MeSH Terms
Conditions
Interventions
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Joshua C Anthony, PhD
Habit, LLC
- PRINCIPAL INVESTIGATOR
Barbara L Winters, PhD, RD
Winters Nutrition Associates LLC
- STUDY DIRECTOR
Kristin M Nieman, PhD
Katalyses LLC
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- OTHER
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
January 25, 2018
First Posted
February 7, 2018
Study Start
October 28, 2017
Primary Completion
December 21, 2018
Study Completion
December 21, 2018
Last Updated
February 25, 2019
Record last verified: 2019-02