| Keyword search (4,164 papers available) | ![]() |
"mobile applications" Keyword-tagged Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Proof-of-concept testing of a mobile application-delivered mindfulness exercise for emotional eaters: RAIN delivered as a step-by-step image sequence | Carrière K; Siemers N; Thapar S; Knäuper B; | 39114459 HKAP |
| 2 | Evaluation of the Diet Tracking Smartphone Application Keenoa™: A Qualitative Analysis | Bouzo V; Plourde H; Beckenstein H; Cohen TR; | 34582258 PERFORM |
| Title: | Evaluation of the Diet Tracking Smartphone Application Keenoa™: A Qualitative Analysis | ||||
| Authors: | Bouzo V, Plourde H, Beckenstein H, Cohen TR | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/34582258/ | ||||
| DOI: | 10.3148/cjdpr-2021-022 | ||||
| Publication: | Canadian journal of dietetic practice and research : a publication of Dietitians of Canada = Revue canadienne de la pratique et de la recherche en dietetique : une publication des Dietetistes du Canada | ||||
| Keywords: | Mobile applications; applications mobiles; artificial intelligence; diet records; intelligence artificielle; journal alimentaire; nutrition assessment; é; valuation nutritionnelle; | ||||
| PMID: | 34582258 | Category: | Date Added: | 2021-09-28 | |
| Dept Affiliation: |
PERFORM
1 School of Human Nutrition, McGill University, Montreal, QC. 2 PERFORM Centre, Concordia University, Montreal, QC. 3 Faculty of Land and Food Systems, Food, Nutrition and Health, University of British Columbia, Vancouver, BC. |
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Description: |
Keenoa™ is a novel Canadian diet application (app) currently used by Canadian dietitians to collect diet-related data from clients. The goal of this study was to evaluate Keenoa™ based on user feedback and compare it to a conventional pen and paper method. One hundred and two participants were recruited and randomly assigned to record their diets using this application for 3 nonconsecutive days. Following this, participants were invited to complete an online "exit" survey. Seventy-two subjects responded, with 50 completing an open-ended question asking for general feedback about the app. Data were reviewed and 3 main themes emerged: strengths, challenges, and future recommendations. Strengths associated with the app consisted of picture recognition software, the additional commentary feature, and the overall pleasant data collection process. Challenges that were identified included inconsistencies with the barcode scanning features, the limited food database, time to enter food details, and software issues. Future recommendations included using a larger food database, pairing dietary intake with physical activity monitoring, and having accessible nutritional data. Despite these limitations, participants preferred using mobile apps to record diet compared with traditional written food diaries. |



