Smartphone Applications for Patients' Health and Fitness.

By J. Higgins. American Journal of Medicine, 2016

350 citations recorded by the source corpus.

Subfields: Applied Psychology, General Health Professions, Public Health, Environmental and Occupational Health

View Paper: https://www.semanticscholar.org/paper/c07fbdb2ce2fa89637115cd6b0895514ca1dd7e8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Applied Psychology

1. Ardion D. Beldad
2. Sabrina M. Hegner

In General Health Professions

1. Ardion D. Beldad
2. Sabrina M. Hegner

In Public Health, Environmental and Occupational Health

1. Ardion D. Beldad
2. Sabrina M. Hegner

Citations in the corpus

• Expanding the Technology Acceptance Model with the Inclusion of Trust, Social Influence, and Health Valuation to Determine the Predictors of German Users’ Willingness to Continue using a Fitness App: A Structural Equation Modeling Approach (2018, background): “For instance, considering the need for fitness app users to disclose personal data (e.g. gender, date of birth, weight, height; Higgins, 2016), concerns regarding the privacy of willfully disclosed personal data or surreptitiously extracted online behavioral information might be aggravated either by”
• Enabling Technologies for the Internet of Health Things (2018, background): “Higgins [57] carried out a study on benefits of using medical app evaluating smartphone applications for patients’ health and fitness, discussing limitations of apps and future trends.”