Search Articles

A Mobile, Avatar-Based App for Improving Body Perceptions Among Adolescents: A Pilot Test

Identification (ie, the extent an individual relates to a model and feels similarity to the model) can increase the likelihood for a teen to perform a learned behavior [3,7].

Annmarie A Lyles, Ashish Amresh, Jennifer Huberty, Michael Todd, Rebecca E Lee

JMIR Serious Games 2017;5(1):e4

Download Citation: END BibTex RIS

Early Detection of Depression: Social Network Analysis and Random Forest Techniques

Fidel Cacheda, Diego Fernandez, Francisco J Novoa, Victor Carneiro

J Med Internet Res 2019;21(6):e12554

Download Citation: END BibTex RIS

The Case for Jointly Targeting Diabetes and Depression Among Vulnerable Patients Using Digital Technology

a high priority [11].

Adrian Aguilera, Courtney Rees Lyles

JMIR Diabetes 2017;2(1):e1

Download Citation: END BibTex RIS

CONSORT-EHEALTH: Improving and Standardizing Evaluation Reports of Web-based and Mobile Health Interventions

Without funding, our initial plan to use a 3-phase process of premeeting item generation, a meeting with invited stakeholders, and postmeeting consolidation, had to be modified, with only a very short face-to-face workshop in the context of a scientific meeting

Gunther Eysenbach, CONSORT-EHEALTH Group

J Med Internet Res 2011;13(4):e126

Download Citation: END BibTex RIS

Metadata Correction: Direct Adherence Measurement Using an Ingestible Sensor Compared With Self-Reporting in High-Risk Cardiovascular Disease Patients Who Knew They Were Being Measured: Prospective Intervention

In the paper by David Thompson et al, “Direct Adherence Measurement Using an Ingestible Sensor Compared With Self-Reporting in High-Risk Cardiovascular Disease Patients Who Knew They Were Being Measured: A Prospective Intervention” (JMIR Mhealth Uhealth 2017

David Thompson, Teresa Mackay, Maria Matthews, Judith Edwards, Nicholas S Peters, Susan B Connolly

JMIR Mhealth Uhealth 2018;6(4):e13

Download Citation: END BibTex RIS

Development of Smartphone Applications for Nutrition and Physical Activity Behavior Change

Native apps run locally on a smartphone’s operating system in a way that is analogous to programs running on a desktop computer.

Lana Hebden, Amelia Cook, Hidde P. van der Ploeg, Margaret Allman-Farinelli

JMIR Res Protoc 2012;1(2):e9

Download Citation: END BibTex RIS

Evaluating the Accuracy of Google Translate for Diabetes Education Material

Xuewei Chen, Sandra Acosta, Adam Etheridge Barry

JMIR Diabetes 2016;1(1):e3

Download Citation: END BibTex RIS

Adolescent and Young Adult Cancer Survivorship Educational Programming: A Qualitative Evaluation

Deborah Vollmer Dahlke, Kayla Fair, Yan Alicia Hong, Debra Kellstedt, Marcia G Ory

JMIR Cancer 2017;3(1):e3

Download Citation: END BibTex RIS

Knowledge, Attitudes, and Practices Regarding Avian Influenza A (H7N9) Among Mobile Phone Users: A Survey in Zhejiang Province, China

Examining KAP in traditional ways, such as paper-and-pencil questionnaires, involves a great amount of human and material resources and can also take a long time.

Hua Gu, Zhenggang Jiang, Bin Chen, Jueman (Mandy) Zhang, Zhengting Wang, Xinyi Wang, Jian Cai, Yongdi Chen, Dawei Zheng, Jianmin Jiang

JMIR Mhealth Uhealth 2015;3(1):e15

Download Citation: END BibTex RIS

Peer Review of “Evaluating Population Density as a Parameter for Optimizing COVID-19 Testing: Statistical Analysis”

This is a peer review submitted for the paper “Evaluating Population Density as a Parameter for Optimizing COVID-19 Testing: Statistical Analysis.”

Reviewer BJ Anonymous

JMIRx Med 2021;2(1):e27103

Download Citation: END BibTex RIS