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Weight Loss Following Use of a Smartphone Food Photo Feature: Retrospective Cohort Study.
- Source :
-
JMIR mHealth and uHealth [JMIR Mhealth Uhealth] 2019 May 29; Vol. 7 (6), pp. e11917. Date of Electronic Publication: 2019 May 29. - Publication Year :
- 2019
-
Abstract
- Background: Tracking of dietary intake is key to enhancing weight loss. Mobile apps may be useful for tracking food intake and can provide feedback about calories and nutritional value. Recent technological developments have enabled image recognition to identify foods and track food intake.<br />Objective: We aimed to determine the effectiveness of using photography as a feature of a smartphone weight loss app to track food intake in adults who were overweight or obese.<br />Methods: We analyzed data from individuals (age, 18-65 years; body mass index≥25 kg/m <superscript>2</superscript> ; ≥4 days of logged food intake; and ≥2 weigh-ins) who used a mobile-based weight loss app. In a retrospective study, we compared those who used the photo feature (n=9871) and those who did not use the feature (n=113,916). Linear regression analyses were used to assess use of the photo feature in relation to percent weight loss.<br />Results: Weight loss was greater in the group using the photo feature (Δ=0.14%; 95% CI 0.06-0.22; P<.001). The photo feature group used the weight loss app for a longer duration (+3.5 days; 95% CI 2.61-4.37; P<.001) and logged their food intake on more days (+6.1 days; 95% CI 5.40-6.77; P<.001) than the nonusers. Mediation analysis showed that the weight loss effect was absent when controlling for either duration or number of logged days in the program.<br />Conclusions: This study was the first to examine the effect of a food photo feature to track food intake on weight loss in a free-living setting. Use of photo recognition was associated with greater weight loss, which was mediated by the duration of app use and number of logged days in the program.<br /> (©Daniela Ben Neriah, Allan Geliebter. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 29.05.2019.)
- Subjects :
- Adolescent
Adult
Aged
Behavior Therapy instrumentation
Behavior Therapy statistics & numerical data
Body Mass Index
Cohort Studies
Female
Humans
Male
Middle Aged
Mobile Applications statistics & numerical data
Photography standards
Photography statistics & numerical data
Retrospective Studies
Self Care methods
Self Care psychology
Self Care statistics & numerical data
Weight Reduction Programs methods
Weight Reduction Programs standards
Weight Reduction Programs statistics & numerical data
Behavior Therapy standards
Mobile Applications standards
Photography instrumentation
Weight Loss
Subjects
Details
- Language :
- English
- ISSN :
- 2291-5222
- Volume :
- 7
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- JMIR mHealth and uHealth
- Publication Type :
- Academic Journal
- Accession number :
- 31199300
- Full Text :
- https://doi.org/10.2196/11917