A Novel Personalized Nutrition Program Improves Health and Lifestyle Behaviors: Subgroup Analysis Results from Habit's Personalized Approaches to Health (PATH) Study (P15-019-19). (13th June 2019)

• Record Type: Journal Article
• Authors: Winters, Barbara; Wopereis, Suzan; Bijlsma, Sabina; Krone, Tanja; Broek, Tim Van den; Caspers, Martien P M; Anderson, Barbara; Nieman, Kristin; Anthony, Joshua
• Is Part Of: Current developments in nutrition. Volume 3(2019)Supplement 1
• Publication Date: 2019-06-13
• Subjects: Nutrition -- Periodicals; Nutritional Physiological Phenomena; Nutrition; Periodicals; Periodicals; Fulltext; Internet Resources; Periodicals; 612.3
• DOI: 10.1093/cdn/nzz037.P15-019-19
• Languages: English
• ISSNs: 2475-2991

Abstract

Abstract: Objectives: This study evaluates the impact of a digitally-delivered systems biology-based personalized nutrition (PN) program (Habit LLC, Oakland, CA), that included nutrition and behavior advice, and meals. Methods: In this single-arm, multi-phase, open-label study (clinicaltrials.gov: NCT03424395), participants ( n = 107; 67% female) were provided a Fitbit® Activity Tracker and completed an at-home kit that included collection of DNA and capillary blood before and after (30 and 120 min) consuming a mixed macronutrient challenge beverage. Participants completed a 10-week run-in and 10-week PN program intervention phase. The intervention included personalized nutrition and behavior advice and meals (2 meals/day; 5 days/week) tailored to dietary subgroups. Here we report on changes in diet, anthropometrics, and biomarkers of two subgroups (Range Seekers [RS] and Protein Seekers [PS]) that differed in anthropometrics and biological measures at baseline and were provided different dietary recommendations. Results: At baseline, there were no differences between groups in nutrients assessed, however, compared to RS ( n = 48), PS ( n = 22) had higher BMI, weight, body fat %, waist and hip circumference (all P < 0.0001), HOMA-IR, age, (both P < 0.01), muscle mass, diastolic blood pressure, hepatic insulin resistance index and c-peptide (all P < 0.05). After the intervention, both groups reduced intakes of calories ( P < 0.001) and % calories from saturated fat and monounsaturated fat (both P < 0.05). Intakes of total fat, saturated fat, and sodium (all P < 0.001) as well as carbohydrate and total sugars (both P < 0.05) were also reduced. RS and PS increased vitamin C and fiber intakes ( P < 0.001). PS, but not RS, received advice to increase protein intake, accordingly % calories from protein increased in PS by 28% ( P < 0.001). PS also increased intake of b-carotene and vitamin A ( P < 0.01). BMI and weight decreased in both groups ( P < 0.001) after the intervention, with greater extent of weight loss observed in PS. In addition to weight loss in PS, a reduction in total and LDL cholesterol ( P < 0.001) was observed. Conclusions: Together, these results support the efficacy of a digitally-delivered PN program, differentiated by subtype, in improving dietary patterns and health indicators. Funding Sources: Habit, LLC.