Literature DB >> 27168426

Tracking Myself: Assessing the Contribution of Mobile Technologies for Self-Trackers of Weight, Diet, or Exercise.

Eulàlia Puig Abril1.   

Abstract

For individuals trying to lose or maintain weight, self-tracking their weight, diet, or exercise is important. In the past, different tracking modes have been examined, like paper and pencil, memory, or personal digital assistants. But the recent advancement and adoption of mobile technologies could also result in easier and simpler self-tracking. However, little is known about self-trackers, their tracking modes, and the absolute or relative contribution of each tracking mode at the population level. This study fills this gap by (a) comparing self-trackers' characteristics across tracking modes and against nontrackers and (b) testing the relationship between mobile self-tracking and tracking outcomes using a representative sample of data from the Pew Internet and American Life Project from 2012. Controls in the model include demographics, technology use, and health indicators. Results suggest that mobile self-trackers are younger and more educated and that mobile self-tracking is a positive contributor and the best tracking mode.

Mesh:

Year:  2016        PMID: 27168426     DOI: 10.1080/10810730.2016.1153756

Source DB:  PubMed          Journal:  J Health Commun        ISSN: 1081-0730


  4 in total

1.  A New mHealth App for Monitoring and Awareness of Healthy Eating: Development and User Evaluation by Spanish Users.

Authors:  Isabel de la Torre Díez; Begoña Garcia-Zapirain; Miguel López-Coronado; Joel J P C Rodrigues; Carlos Del Pozo Vegas
Journal:  J Med Syst       Date:  2017-05-29       Impact factor: 4.460

2.  Contradictions in digital health engagement: An activity tracker's ambiguous influence on vulnerable young adults' engagement in own health.

Authors:  Anne Marie Kanstrup; Pernille Bertelsen; Martin B Jensen
Journal:  Digit Health       Date:  2018-05-09

3.  Factors related to moderate exercise during COVID-19 for overweight and obese individuals: A secondary analysis of HINTS data.

Authors:  Qiwei Luna Wu; Grace Ellen Brannon
Journal:  PEC Innov       Date:  2022-06-23

4.  Self-Monitoring App Preferences for Sun Protection: Discrete Choice Experiment Survey Analysis.

Authors:  Vasileios Nittas; Margot Mütsch; Julia Braun; Milo Alan Puhan
Journal:  J Med Internet Res       Date:  2020-11-27       Impact factor: 5.428

  4 in total

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