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Calorie Estimation From Pictures of Food: Crowdsourcing Study

Calorie Estimation From Pictures of Food: Crowdsourcing Study

This bias is similar to one found by Almiron-Roig et al [28] in estimating in-person portion sizes and could reflect 2 nonexclusive sources. First, it could result from the perceived healthiness of the food items [29].

Jun Zhou, Dane Bell, Sabrina Nusrat, Melanie Hingle, Mihai Surdeanu, Stephen Kobourov

Interact J Med Res 2018;7(2):e17

An mHealth Intervention Using a Smartphone App to Increase Walking Behavior in Young Adults: A Pilot Study

An mHealth Intervention Using a Smartphone App to Increase Walking Behavior in Young Adults: A Pilot Study

Mobile apps also move beyond traditional forms of pedometer monitoring, with additional features such as automatic feedback, tracking of steps and calories, appealing graphic displays, and goal-oriented functionality [16].Bort-Roig et al [17] highlighted the

Jane C Walsh, Teresa Corbett, Michael Hogan, Jim Duggan, Abra McNamara

JMIR Mhealth Uhealth 2016;4(3):e109

A Mobile Phone App to Stimulate Daily Physical Activity in Patients with Chronic Obstructive Pulmonary Disease: Development, Feasibility, and Pilot Studies

A Mobile Phone App to Stimulate Daily Physical Activity in Patients with Chronic Obstructive Pulmonary Disease: Development, Feasibility, and Pilot Studies

It will provide much more reliable data compared to a patient’s recall [45,46].Comparison With Prior WorkA review conducted by Bort-Roig et al [47] evaluated 10 studies that described the accuracy of physical activity data as measured by a mobile phone.

Sigrid NW Vorrink, Helianthe SM Kort, Thierry Troosters, Jan-Willem J Lammers

JMIR Mhealth Uhealth 2016;4(1):e11

The SMART Study, a Mobile Health and Citizen Science Methodological Platform for Active Living Surveillance, Integrated Knowledge Translation, and Policy Interventions: Longitudinal Study

The SMART Study, a Mobile Health and Citizen Science Methodological Platform for Active Living Surveillance, Integrated Knowledge Translation, and Policy Interventions: Longitudinal Study

which will serve as a motivator for participants to stay engaged in the study on a long-term basis.Mobile Phone Surveillance via Citizen ScienceThe use of mobile phones is a relatively new phenomenon in ALR, and a recent systematic review conducted by Bort-Roig

Tarun Reddy Katapally, Jasmin Bhawra, Scott T Leatherdale, Leah Ferguson, Justin Longo, Daniel Rainham, Richard Larouche, Nathaniel Osgood

JMIR Public Health Surveill 2018;4(1):e31

Accuracy and Adoption of Wearable Technology Used by Active Citizens: A Marathon Event Field Study

Accuracy and Adoption of Wearable Technology Used by Active Citizens: A Marathon Event Field Study

Instead, study subjects are equipped with (several) tracking devices, strictly following a study protocol for different types of exercises, for example, treadmill exercises.In 2014, a meta-review by Bort-Roig et al analyzed whether mobile phone technology was

Monika Pobiruchin, Julian Suleder, Richard Zowalla, Martin Wiesner

JMIR Mhealth Uhealth 2017;5(2):e24

Encouraging Physical Activity in Patients With Diabetes: Intervention Using a Reinforcement Learning System

Encouraging Physical Activity in Patients With Diabetes: Intervention Using a Reinforcement Learning System

short message service (SMS) messages to improve health-related behaviors (reviewed in De Jongh et al [7]), and there are several previous studies that have tried to assess the effect of mobile phone apps in encouraging physical activity (reviewed in Bort-Roig

Elad Yom-Tov, Guy Feraru, Mark Kozdoba, Shie Mannor, Moshe Tennenholtz, Irit Hochberg

J Med Internet Res 2017;19(10):e338