Keyword search (4,164 papers available)

"Application" Keyword-tagged Publications:

Title Authors PubMed ID
1 Advancements in Magnetorheological Foams: Composition, Fabrication, AI-Driven Enhancements and Emerging Applications Khodaverdi H; Sedaghati R; 40732777
ENCS
2 Web-enhanced return-to-work coordination for employees with common mental disorders: reduction of sick leave duration and relapse Corbière M; Mazaniello-Chézol M; Lecomte T; Guay S; Panaccio A; Giguère CÉ; 39966766
PSYCHOLOGY
3 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
4 Advancements in Hybrid Cellulose-Based Films: Innovations and Applications in 2D Nano-Delivery Systems Ramezani G; Stiharu I; van de Ven TGM; Nerguizian V; 38667550
ENCS
5 Understanding Adolescents' Experiences With Menstrual Pain to Inform the User-Centered Design of a Mindfulness-Based App: Mixed Methods Investigation Study Gagnon MM; Brilz AR; Alberts NM; Gordon JL; Risling TL; Stinson JN; 38587886
PSYCHOLOGY
6 Call to action: equity, diversity, and inclusion in emergency medicine resident physician selection Primavesi R; Patocka C; Burcheri A; Coutin A; Elhalwi AM; Ali A; Pandya A; Gagné A; Johnston B; Thoma B; LeBlanc C; Fovet F; Gallinger J; Mohadeb J; Ragheb M; Dong S; Smith S; Oyedokun T; Newmarch T; Knight V; McColl T; 37368231
CONCORDIA
7 Hyperelastic Modeling and Validation of Hybrid-Actuated Soft Robot with Pressure-Stiffening Roshanfar M; Taki S; Sayadi A; Cecere R; Dargahi J; Hooshiar A; 37241524
ENCS
8 Human Activity Recognition with an HMM-Based Generative Model Manouchehri N; Bouguila N; 36772428
ENCS
9 Evaluation of the Diet Tracking Smartphone Application Keenoa™: A Qualitative Analysis Bouzo V; Plourde H; Beckenstein H; Cohen TR; 34582258
PERFORM
10 A historical perspective on porphyrin-based metal-organic frameworks and their applications Zhang X; Wasson MC; Shayan M; Berdichevsky EK; Ricardo-Noordberg J; Singh Z; Papazyan EK; Castro AJ; Marino P; Ajoyan Z; Chen Z; Islamoglu T; Howarth AJ; Liu Y; Majewski MB; Katz MJ; Mondloch JE; Farha OK; 33678810
CNSR
11 A Benchmark of Data Stream Classification for Human Activity Recognition on Connected Objects. Khannouz M; Glatard T; 33202905
ENCS
12 Validity and Usability of a Smartphone Image-Based Dietary Assessment App Compared to 3-Day Food Diaries in Assessing Dietary Intake Among Canadian Adults: Randomized Controlled Trial Ji Y; Plourde H; Bouzo V; Kilgour RD; Cohen TR; 32902389
PERFORM
13 Augmented reality mastectomy surgical planning prototype using the HoloLens template for healthcare technology letters. Amini S, Kersten-Oertel M 32038868
PERFORM

 

Title:Proof-of-concept testing of a mobile application-delivered mindfulness exercise for emotional eaters: RAIN delivered as a step-by-step image sequence
Authors:Carrière KSiemers NThapar SKnäuper B
Link:https://pubmed.ncbi.nlm.nih.gov/39114459/
DOI:10.21037/mhealth-23-56
Publication:mHealth
Keywords:Mindfulnesseating behaviourmetaphormobile applications
PMID:39114459 Category: Date Added:2024-08-08
Dept Affiliation: HKAP
1 Department of Psychology, Faculty of Science, McGill University, Montreal, QC, Canada.
2 Division of Gastroenterology and Hepatology, Faculty of Medicine, McGill University, Montreal, QC, Canada.
3 Department of Health, Kinesiology, and Applied Physiology, Concordia University, Montreal, QC, Canada.

Description:

Background: Over fifty percent of individuals with overweight and obesity are emotional eaters. Emotional eating can be theorized as a conditioned response to eat for reasons that are not associated with physiological hunger. We conducted this proof-of-concept study to gather evidence that a mobile app that delivers a common non-meditative mindfulness exercise called RAIN, in a step-by-step image sequence can improve emotional eating and other outcomes over a 3-week period.

Methods: Forty-nine Canadian adults who self reported as emotional eaters (mean age =30.7 years) were recruited through social media and participated in a workshop in which RAIN and its use on the app were introduced. Participants were asked to use the app every time that they experienced a non-homeostatic craving to eat for three weeks. Emotional eating, reactivity to food cravings, perceived loss of control around food, distress tolerance, and eating-specific mindfulness were assessed pre- and post-intervention.

Results: Improvements on all outcomes were found (r-range, -0.58 to -0.28). The feasibility of the mobile application was demonstrated by a low attrition rate (8%), high user satisfaction, and strong app engagement metrics.

Conclusions: The data provide proof-of-concept evidence that a mobile app that delivers a mindfulness exercise in a step-by-step image sequence has potential to be effective and thus identifies a new approach that may reduce emotional eating in an accessible and affordable manner.





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