Dataset Information

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)

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.

SUBMITTER: Winters B

PROVIDER: S-EPMC6574448 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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Project description:Abstract Objectives A key to a successful personalized nutrition (PN) strategy is tailoring the behavior intervention to achieve sustained behavior change consistent with desired health outcomes. The objective of this study was to evaluate the impact of a digitally-delivered, systems biology-based 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), 30–59 years of age, were provided a Fitbit® Activity Tracker and instructions to complete 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. Lifestyle behavior data and activity levels were collected at baseline. Participants completed a 10-week control phase and a 10-week PN program intervention phase that included tailored nutrition and behavior advice, and meals (2 meals/day, 5 days/week). Validated quality of life, perceived stress, diet self-efficacy, and eating behavior questionnaires were administered to assess behavior before and after the intervention. Data from 73 compliant participants (66% female) were included in the analysis. Anthropometric and biological results were used to categorize participants into subgroups including Protein Seekers (PS) and Range Seekers (RS). Results Participants reported feeling fuller faster after the intervention, relative to before (P = 0.002), which could be linked to the dietary recommendations and behavior advice. Analysis by gender showed men reported more control over their eating patterns during negative events at baseline, compared to women (P = 0.005). This difference was not evident at the end of the intervention with women reporting slightly more, and men slightly less control. PS entered the study with a higher weight and BMI (P < 0.001 for both) and reported eating more quickly than RS (P = 0.003). This difference diminished, and by the end of the intervention PS did not differ from RS which could reflect the tailored advice provided. Conclusions These and other data provide novel insights on how a tailored personalized intervention that targeted food behavior may help drive positive changes in health outcomes. Funding Sources Habit, LLC.

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