Impact on Dietary Intake of Two Levels of Technology-Assisted Personalized Nutrition: A Randomized Trial.

ABSTRACT: Advances in web and mobile technologies have created efficiencies relating to collection, analysis and interpretation of dietary intake data. This study compared the impact of two levels of nutrition support: (1) low personalization, comprising a web-based personalized nutrition feedback report generated using the Australian Eating Survey^® (AES) food frequency questionnaire data; and (2) high personalization, involving structured video calls with a dietitian using the AES report plus dietary self-monitoring with text message feedback. Intake was measured at baseline and 12 weeks using the AES and diet quality using the Australian Recommended Food Score (ARFS). Fifty participants (aged 39.2 ± 12.5 years; Body Mass Index 26.4 ± 6.0 kg/m²; 86.0% female) completed baselin

SUBMITTER: Rollo ME 

PROVIDER: S-EPMC7693517 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature