Literature DB >> 33734305

Expanding the Capabilities of Nutrition Research and Health Promotion Through Mobile-Based Applications.

Heather A Eicher-Miller1, Lukkamol Prapkree2, Cristina Palacios2.   

Abstract

Mobile-based applications are popular and prevalently used in the US population. Applications focusing on nutrition offer platforms for quantifying and changing behaviors to improve dietary intake. Such behavior changes can intervene in the relation of diet to promote health and prevent disease. Mobile applications offer a safe and convenient way to collect user data and share it back to users, researchers, and to health care providers. Other lifestyle factors like activity, sleep, and sedentary behavior, can also be quantified and included in investigations of how lifestyle is related to health. Yet, challenges in the assessment offered through mobile applications and effectiveness to change behavior still remain, including rigorous evaluation, demonstration of successful health improvement, and participant engagement. The data mobile applications generate, however, expands opportunities for discovery of the integrated and time-based nature of various daily activities in relation to health. This article is a summary of a symposium at Nutrition 2020 Live Online on the role of mobile applications as a tool for nutrition research and health promotion. The types and capabilities of mobile applications, challenges in their evaluation and use in research, and opportunities for the data they generate along with a specific example, are reviewed.
© The Author(s) 2021. Published by Oxford University Press on behalf of the American Society for Nutrition.

Entities:  

Keywords:  applications; dietary assessment; health promotion; image-based; mobile health; mobile-based; nutrition; nutrition interventions; prevention; technology

Mesh:

Year:  2021        PMID: 33734305      PMCID: PMC8166539          DOI: 10.1093/advances/nmab022

Source DB:  PubMed          Journal:  Adv Nutr        ISSN: 2161-8313            Impact factor:   8.701


  62 in total

1.  Characterizing user engagement with health app data: a data mining approach.

Authors:  Katrina J Serrano; Kisha I Coa; Mandi Yu; Dana L Wolff-Hughes; Audie A Atienza
Journal:  Transl Behav Med       Date:  2017-06       Impact factor: 3.046

2.  'Exercise snacks' before meals: a novel strategy to improve glycaemic control in individuals with insulin resistance.

Authors:  Monique E Francois; James C Baldi; Patrick J Manning; Samuel J E Lucas; John A Hawley; Michael J A Williams; James D Cotter
Journal:  Diabetologia       Date:  2014-05-10       Impact factor: 10.122

3.  Feasibility and impact study of a reward-based mobile application to improve adolescents' snacking habits.

Authors:  Nathalie De Cock; Wendy Van Lippevelde; Jolien Vangeel; Melissa Notebaert; Kathleen Beullens; Steven Eggermont; Benedicte Deforche; Lea Maes; Lien Goossens; Sandra Verbeken; Ellen Moens; Leentje Vervoort; Caroline Braet; Lieven Huybregts; Patrick Kolsteren; John Van Camp; Carl Lachat
Journal:  Public Health Nutr       Date:  2018-04-02       Impact factor: 4.022

4.  Assessment of nutrition-focused mobile apps' influence on consumers' healthy food behaviour and nutrition knowledge.

Authors:  Antonella Samoggia; Bettina Riedel
Journal:  Food Res Int       Date:  2019-11-21       Impact factor: 6.475

5.  Efficacy of SmartLoss, a smartphone-based weight loss intervention: results from a randomized controlled trial.

Authors:  Corby K Martin; Anastasia C Miller; Diana M Thomas; Catherine M Champagne; Hongmei Han; Timothy Church
Journal:  Obesity (Silver Spring)       Date:  2015-05       Impact factor: 5.002

6.  The relationship between breakfast skipping, chronotype, and glycemic control in type 2 diabetes.

Authors:  Sirimon Reutrakul; Megan M Hood; Stephanie J Crowley; Mary K Morgan; Marsha Teodori; Kristen L Knutson
Journal:  Chronobiol Int       Date:  2013-10-04       Impact factor: 2.877

7.  Using a gamified monitoring app to change adolescents' snack intake: the development of the REWARD app and evaluation design.

Authors:  W Van Lippevelde; J Vangeel; N De Cock; C Lachat; L Goossens; K Beullens; L Vervoort; C Braet; L Maes; S Eggermont; B Deforche; J Van Camp
Journal:  BMC Public Health       Date:  2016-08-05       Impact factor: 3.295

8.  Timing of Exercise Affects Glycemic Control in Type 2 Diabetes Patients Treated with Metformin.

Authors:  Tao Huang; Chunyan Lu; Moritz Schumann; Shenglong Le; Yifan Yang; Haihui Zhuang; Qingwei Lu; Jinsheng Liu; Petri Wiklund; Sulin Cheng
Journal:  J Diabetes Res       Date:  2018-03-29       Impact factor: 4.011

9.  Correction: Marah Aqeel et al. "The Effect of Timing of Exercise and Eating on Postprandial Response in Adults: A Systematic Review". Nutrients 2020, 12, 221.

Authors:  Marah Aqeel; Anna Forster; Elizabeth A Richards; Erin Hennessy; Bethany McGowan; Anindya Bhadra; Jiaqi Guo; Saul Gelfand; Edward Delp; Heather A Eicher-Miller
Journal:  Nutrients       Date:  2020-04-29       Impact factor: 5.717

10.  Frequency and Circadian Timing of Eating May Influence Biomarkers of Inflammation and Insulin Resistance Associated with Breast Cancer Risk.

Authors:  Catherine R Marinac; Dorothy D Sears; Loki Natarajan; Linda C Gallo; Caitlin I Breen; Ruth E Patterson
Journal:  PLoS One       Date:  2015-08-25       Impact factor: 3.240

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  1 in total

Review 1.  Skin optical properties in the obese and their relation to body mass index: a review.

Authors:  Andres J Rodriguez; Mel Tananant Boonya-Ananta; Mariacarla Gonzalez; Vinh Nguyen Du Le; Jesse Fine; Cristina Palacios; Mike J McShane; Gerard L Coté; Jessica C Ramella-Roman
Journal:  J Biomed Opt       Date:  2022-03       Impact factor: 3.758

  1 in total

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