| Title: |
Effectiveness of web-based personalized nutrition advice for adults using the eNutri web app: evidence from the EatWellUK randomized controlled trial |
| Authors: |
Zenun Franco, Rodrigo; Fallaize, Rosalind; Weech, Michelle; Hwang, Faustina; Lovegrove, Julie A. |
| Publisher Information: |
JMIR Publications |
| Publication Year: |
2022 |
| Collection: |
CentAUR: Central Archive at the University of Reading |
| Description: |
Background: Evidence suggests eating behaviours and adherence to dietary guidelines can be improved using nutrition-related apps. Apps delivering personalised nutrition (PN) advice to users can provide individual support at-scale with relatively low-cost. Objective: To investigate the effectiveness of a mobile web application (eNutri) that delivers automated PN advice in improving diet quality, relative to general population food-based dietary guidelines. Methods: Non-diseased UK adults (aged >18 years) were randomised to (i) PN advice or (ii) control advice (population-based healthy eating guidelines) in a 12-week controlled, parallel, single-blinded, dietary intervention, which was delivered online. Dietary intake was assessed using the eNutri Food Frequency Questionnaire (FFQ). An 11-item modified US Alternative Healthy Eating Index (m-AHEI) aligned with UK dietary and nutritional recommendations was used to derive the automated PN advice. The primary outcome was change in diet quality (m-AHEI) at 12 weeks. Participant surveys evaluated the PN report (week 12) and longer-term impact of the PN advice (mean 5.9 months after completion of the study). Results: Following the baseline FFQ, 210 participants completed at least one additional FFQ, and n=23 outliers were excluded for unfeasible dietary intakes. The mean interval between FFQs was 10.8 weeks. 96 participants were included in the PN group (43.5 (SD 15.9) years; BMI 24.8 (4.4) kg/m2) and 91 in the control (42.8 (14.0) years; BMI 24.2 (4.4) kg/m2). Compared with the control group, the overall m-AHEI score increased by 3.5 out of 100 (CI 95%: 1.19-5.78) in the PN group, equivalent to an increase of 6.1% (P = .003). Specifically, the m-AHEI components ‘nuts and legumes’ and ‘red and processed meat’ showed significant improvements in the PN group (P’s = 0.04). At follow-up, 64% of PN participants agreed that, compared with baseline, they were still following some (‘any’) of the advice received and 31% were still motivated to improve their diet. Conclusions: ... |
| Document Type: |
article in journal/newspaper |
| File Description: |
text |
| Language: |
English |
| ISSN: |
1438-8871 |
| Relation: |
https://centaur.reading.ac.uk/102193/8/PDF%20%281%29.pdf; https://centaur.reading.ac.uk/102193/1/EatWellUK_JMIR_first_revision_v1_FINAL.pdf; Zenun Franco, R., Fallaize, R. , Weech, M. orcid:0000-0003-1738-877X , Hwang, F. orcid:0000-0002-3243-3869 and Lovegrove, J. A. orcid:0000-0001-7633-9455 (2022) Effectiveness of web-based personalized nutrition advice for adults using the eNutri web app: evidence from the EatWellUK randomized controlled trial. Journal of Medical Internet Research, 24 (4). ISSN 1438-8871 doi:10.2196/29088 |
| Availability: |
https://centaur.reading.ac.uk/102193/; https://centaur.reading.ac.uk/102193/8/PDF%20%281%29.pdf; https://centaur.reading.ac.uk/102193/1/EatWellUK_JMIR_first_revision_v1_FINAL.pdf |
| Rights: |
cc_by_4 |
| Accession Number: |
edsbas.3CCBEB01 |
| Database: |
BASE |