Personalized Dietary Program and Markers of Wellness
Study Details
Study Description
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.
Condition or Disease | Intervention/Treatment | Phase |
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N/A |
Detailed Description
The objective of this study is to determine the impact of an integrated personalized dietary and wellness program, which includes personalized dietary advice, meals, and behavior guidance, on markers of health and wellness, body composition, and psychosocial measures. Behavior questionnaires, motivational interviewing, psychosocial questionnaires, and participants' self-generated data on diet, preferences, activity, and sleep will be used in combination with anthropometric and biological data (fasted blood-based measures following an oral protein glucose lipid tolerance test [liquid meal challenge test], and selected single nucleotide polymorphisms) to create individualized, tailored dietary advice, meal and counseling plans.
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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Other: Personalized dietary and wellness program An 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. |
Other: Personalized dietary and wellness program
Single arm intervention containing three periods: (1) run-in (control), (2) personalized advice/counseling and meals, (3) personalized advice/counseling only
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Outcome Measures
Primary Outcome Measures
- Change in metabolic composite score [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)]
A composite score that includes aggregated changes in blood biomarkers (glucose, C-peptide, high-density lipoprotein cholesterol, total cholesterol, and triglyceride levels).
Secondary Outcome Measures
- 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)]
systolic and diastolic blood pressures
- 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)]
composite score and individual ratings from the WHOQOL-BREF questionnaire
- 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)]
weekly averages of hours from a Fitbit®
- 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)]
composite score from the Diet Self-efficacy Questionnaire and Food Behavior and Activity Inventory
- Change in activity [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)]
weekly averages of hours from a Fitbit®
- Change in food intake [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)]
weekly averages of nutrients and food intake from diet records
- Change in heart rate [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 weight [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 waist circumference [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 hip circumference [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 fat-free mass [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 fat mass [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 stress [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)]
composite score and individual ratings from the Perceived Stress Scale
- Change in C-peptide [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)]
The change from 0 to 30 min, 0 to 120 min, and area under the curve from 0 to 120 min pre- and post-oral protein glucose lipid tolerance test (liquid meal challenge test).
- Change in disposition 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)]
The change from 0 to 30 min, 0 to 120 min, and area under the curve from 0 to 120 min pre- and post-oral protein glucose lipid tolerance test (liquid meal challenge test).
- Changes in insulin indices [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)]
The change from 0 to 30 min, 0 to 120 min, and area under the curve from 0 to 120 min pre- and post-oral protein glucose lipid tolerance test (liquid meal challenge test) for hepatic insulin index and Matsuda insulin sensitivity index.
- Changes in lipid paramaters [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)]
The change from 0 to 30 min, 0 to 120 min, and area under the curve from 0 to 120 min pre- and post-oral protein glucose lipid tolerance test (liquid meal challenge test) for total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, and triglycerides.
- Change in glucose [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)]
The change from 0 to 30 min, 0 to 120 min, and area under the curve from 0 to 120 min pre- and post-oral protein glucose lipid tolerance test (liquid meal challenge test).
Eligibility Criteria
Criteria
Inclusion Criteria:
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Male or female, 30-65 years of age, inclusive.
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BMI 18.5-39.9 kilograms per meters squared.
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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.
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Willing and able to comply with the visit/contact schedule.
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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.
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Normally active and judged to be in good health on the basis of the medical history.
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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.
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Subject has access to an internet-ready device and email.
Exclusion Criteria:
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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.
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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.
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Uncontrolled hypertension (systolic blood pressure ≥160 mm Hg or diastolic blood pressure ≥100 mm Hg).
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A history or presence of cancer in the prior 2 years, except for non-melanoma skin cancer.
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A history of unconventional sleep patterns.
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Major trauma or a surgical event within 3 months of screening.
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Nicotine users.
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Use of medications which can alter the lipid profile with the exception of stable statin use.
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Unstable use of any thyroid medication.
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Use of antibiotics, hypoglycemic medications, and/or systemic corticosteroids.
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Signs or symptoms of an active infection.
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Current or recent history of drug or alcohol abuse.
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Known allergy and/or sensitivity to the study foods or products.
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Extreme dietary habits (e.g., very high protein diets, vegan, very low carbohydrate, etc.).
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A change (increase or decrease) in body weight of >10%.
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Females who are pregnant, planning to be pregnant during the study period, lactating, or of childbearing potential and is unwilling to commit to the use of a medically approved form of contraception throughout the study period.
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Study staff or those who will be involved in the conduct of the study.
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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1 | Campbell Soup Company | Camden | New Jersey | United States | 08103 |
Sponsors and Collaborators
- Habit, LLC
- TNO
- University of California, San Diego
Investigators
- 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 Documents (Full-Text)
None provided.More Information
Additional Information:
- Institute of Medicine - Dietary Reference Intakes
- Dietary Guidelines for Americans 2015-2020
- World Health Organization - Physical Activity Definitions
- World Health Organization: Waist and Hip Circumference Ratio
Publications
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- Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983 Dec;24(4):385-96.
- Development of the World Health Organization WHOQOL-BREF quality of life assessment. The WHOQOL Group. Psychol Med. 1998 May;28(3):551-8.
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- Kolodziejczyk 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.
- Kristal 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.
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- Stewart EE, Fox CH. Encouraging patients to change unhealthy behaviors with motivational interviewing. Fam Pract Manag. 2011 May-Jun;18(3):21-5.
- Stich C, Knäuper 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.
- Stroeve 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.
- Teeter 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. Review.
- van 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.
- van 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.
- Habit-1701