Fig 1.
eNutri presenting the ‘Healthy Eating Score’, ‘Recommended foods’ and ‘Foods to limit’.
Reprinted from [10] under a CC BY license, with permission from Rodrigo Zenun Franco, 2019.
Fig 2.
eNutri presenting the weight and physical activity ranges.
Reprinted from [10] under a CC BY license, with permission from Rodrigo Zenun Franco, 2019.
Fig 3.
Advice on the biggest contributors to a component as main advice and component details.
Reprinted from [10] under a CC BY license, with permission from Rodrigo Zenun Franco, 2019.
Table 1.
Characteristics of subjects presented to nutrition professionals according to scenario.
Table 2.
Participant characteristics according to profession (RD, n = 16; RN, n = 16)a.
Fig 4.
Number of times each target recommendation was selected by nutrition professionals and by the eNutri app for all scenarios combined.
Table 3.
Professional evaluation of eNutri automated personalized nutrition advice according to scenarios (n = 4 responses per scenario).
Table 4.
Quotes identifying positive and negative aspects of the eNutri automated personalized nutrition app scoring system identified by nutrition professionals.
Table 5.
Positive aspects and areas for improvement to the eNutri automated personalized nutrition advice identified by nutrition professionals.