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Controlling Your “App”etite: How Diet and Nutrition-Related Mobile Apps Lead to Behavior Change

Controlling Your “App”etite: How Diet and Nutrition-Related Mobile Apps Lead to Behavior Change

Specifically, app engagement (P<.001) and app price (P<.01) were associated with theory.Several predictors were also positively associated with diet-related behavior change (Table 6).

Joshua H West, Lindsay M Belvedere, Rebecca Andreasen, Christine Frandsen, P Cougar Hall, Benjamin T Crookston

JMIR Mhealth Uhealth 2017;5(7):e95


Mental and Emotional Self-Help Technology Apps: Cross-Sectional Study of Theory, Technology, and Mental Health Behaviors

Mental and Emotional Self-Help Technology Apps: Cross-Sectional Study of Theory, Technology, and Mental Health Behaviors

Most participants reported that the app was helpful (40.0% agreed and 56.0% strongly agreed) and easy to use (40.0% agreed and 58.0% strongly agreed; Table 4).In multivariate regression analyses, engagement with the app(s) (P<.001) was positively associated

Benjamin T Crookston, Joshua H West, P Cougar Hall, Kaitana Martinez Dahle, Thomas L Heaton, Robin N Beck, Chandni Muralidharan

JMIR Ment Health 2017;4(4):e45


There's an App for That: Content Analysis of Paid Health and Fitness Apps

There's an App for That: Content Analysis of Paid Health and Fitness Apps

Apps that cost > US $1 ($0.99) were significantly more likely to be coded as intending to promote health or prevent disease (P < .001).

Joshua H. West, P. Cougar Hall, Carl L. Hanson, Michael D. Barnes, Christophe Giraud-Carrier, James Barrett

J Med Internet Res 2012;14(3):e72


Pedal-Assist Mountain Bikes: A Pilot Study Comparison of the Exercise Response, Perceptions, and Beliefs of Experienced Mountain Bikers

Pedal-Assist Mountain Bikes: A Pilot Study Comparison of the Exercise Response, Perceptions, and Beliefs of Experienced Mountain Bikers

A paired t test analysis (Table 3) revealed participants completed the course an average of 12 min and 40 seconds faster when riding the eMTB as opposed to the conventional mountain bike (P<.001).

Cougar Hall, Taylor H Hoj, Clark Julian, Geoff Wright, Robert A Chaney, Benjamin Crookston, Joshua West

JMIR Form Res 2019;3(3):e13643


How Do Apps Work? An Analysis of Physical Activity App Users’ Perceptions of Behavior Change Mechanisms

How Do Apps Work? An Analysis of Physical Activity App Users’ Perceptions of Behavior Change Mechanisms

207) of respondents strongly agreed that the apps helped their actual goal setting to be physically active, 42.0% (87/207) strongly agreed that their intensity of physical activity increased as a result of using the apps.Regression AnalysisApp engagement (P&

Taylor H Hoj, Emarie L Covey, Allyn C Jones, Amanda C Haines, P Cougar Hall, Benjamin T Crookston, Joshua H West

JMIR Mhealth Uhealth 2017;5(8):e114


Increasing Active Transportation Through E-Bike Use: Pilot Study Comparing the Health Benefits, Attitudes, and Beliefs Surrounding E-Bikes and Conventional Bikes

Increasing Active Transportation Through E-Bike Use: Pilot Study Comparing the Health Benefits, Attitudes, and Beliefs Surrounding E-Bikes and Conventional Bikes

Paired t test analysis revealed that participants believed that a conventional bicycle was more likely than an e-bike to benefit their physical health (P=.002) and save them money (P=.005).

Taylor H Hoj, Jacob J Bramwell, Cameron Lister, Emily Grant, Benjamin T Crookston, Cougar Hall, Joshua H West

JMIR Public Health Surveill 2018;4(4):e10461


The Impact of Electronic Patient Portals on Patient Care:  A Systematic Review of Controlled Trials

The Impact of Electronic Patient Portals on Patient Care: A Systematic Review of Controlled Trials

The difference in decrease -0.17 (P<0.01) (=6.7%) between both groups was statistically significant (p<0.003).

Elske Ammenwerth, Petra Schnell-Inderst, Alexander Hoerbst

J Med Internet Res 2012;14(6):e162