scholarly journals Health Behavior Theory in Physical Activity Game Apps: A Content Analysis

2015 ◽  
Vol 3 (2) ◽  
pp. e4 ◽  
Author(s):  
Hannah E Payne ◽  
Victor BA Moxley ◽  
Elizabeth MacDonald
Keyword(s):  
Physical Activity ◽  
Content Analysis ◽  
Health Behavior ◽  
Health Behavior Theory ◽  
Behavior Theory

scholarly journals Limitations of Existing Dialysis Diet Apps in Promoting User Engagement and Patient Self-Management: Quantitative Content Analysis Study

10.2196/13808 ◽  
2020 ◽  
Vol 8 (6) ◽  
pp. e13808
Author(s):  
Jun-Hao Lim ◽  
Cordelia-Kheng-May Lim ◽  
Imliya Ibrahim ◽  
Jazlina Syahrul ◽  
Mohd Hazli Mohamed Zabil ◽  
...  
Keyword(s):  
Content Analysis ◽  
Health Behavior ◽  
Self Management ◽  
Technical Quality ◽  
Dialysis Patients ◽  
Health Behavior Theory ◽  
Behavior Theory ◽  
Quantitative Content ◽  
The Mean

Background With the unprecedented growth of mobile technology, a plethora of dialysis diet apps have been developed to promote patient dietary self-management. Nevertheless, the utility of such apps remains questionable. Objective This study aimed to evaluate the content, features, and quality of commercial dialysis diet apps for adult dialysis patients. Methods This study consisted of a quantitative content analysis of commercial dialysis diet apps downloaded from Google Play and the Apple App Store available in the Asian marketplace, searched for using the following keywords in English: dialysis diet and diet for kidney disease. Free and paid apps available in English that provide nutrition information for adult dialysis patients were included. Apps that were not relevant to the dialysis diet, not meant for patient self-management, or redundant were excluded. Apps were evaluated for language medium (subscore=1), credibility (subscore=1), food database (subscore=1), valuable features (subscore=12), health-behavior theory constructs (subscore=60), and technical quality (subscore=25). The relationships among the variables of interest were determined by Pearson correlation. Stepwise multiple linear regression analysis was performed to identify the features that contribute to greater technical quality of dialysis diet apps. Statistical significance was defined as P<.05. Results A total of 22 out of 253 apps (8.7%) were eligible for evaluation. Based on a 100-point scale, the mean overall score of the apps was 31.30 (SD 14.28). Only 5% (1/22) of the apps offered relevant language options, and 46% (10/22) contained food databases. In addition, 54% (12/22) of the apps were not credible. The mean score for valuable features was 3.45 (SD 1.63) out of 12, in which general education (16/22, 73%), free download (15/22, 68%), and usability (13/22, 59%) were the three most popular features. However, the apps scored a mean of 13.41 (SD 11.56) out of 60 for health-behavior theory constructs. The overall app technical quality was considered poor, with a mean score of 2.70 (SD 0.41) out of 5. The scores of valuable features (r=.65, P=.001) and health-behavior theory constructs (r=.55, P=.009) were positively correlated with the overall technical quality of the commercial dialysis diet apps. Features such as free download (β=.43, P=.03) and usability (β=.41, P=.03) could significantly determine the functional quality of the apps. Health-behavior theory constructs such as self-monitoring could significantly predict both the subjective quality (β=.55, P=.008) and the engagement quality (β=.66, P=.001) of the apps, whereas the information quality domain could be determined by plan or orders (β=.48, P=.007) and knowledge (β=.45, P=.01). Conclusions Although most of the available commercial dialysis diet apps are free and easy to use, they are subject to theory deficiency, limited language options, and a lack of food databases, credibility, tailored education, and overall technical quality.

scholarly journals Health Behavior Theory in Popular Calorie Counting Apps: A Content Analysis

2016 ◽  
Vol 4 (1) ◽  
pp. e19 ◽  
Author(s):  
Siena F Davis ◽  
Marisa A Ellsworth ◽  
Hannah E Payne ◽  
Shelby M Hall ◽  
Joshua H West ◽  
...  
Keyword(s):  
Content Analysis ◽  
Health Behavior ◽  
Health Behavior Theory ◽  
Behavior Theory ◽  
Calorie Counting

Incorporating Health Behavior Theory into mHealth: an Examination of Weight Loss, Dietary, and Physical Activity Interventions

2019 ◽  
Vol 5 (1) ◽  
pp. 51-60 ◽  
Author(s):  
Jessica K. Salwen-Deremer ◽  
Alyssa S. Khan ◽  
Seth S. Martin ◽  
Breanna M. Holloway ◽  
Janelle W. Coughlin
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Health Behavior ◽  
Health Behavior Theory ◽  
Behavior Theory ◽  
Physical Activity Interventions

scholarly journals Limitations of Existing Dialysis Diet Apps in Promoting User Engagement and Patient Self-Management: Quantitative Content Analysis Study (Preprint)

2019 ◽  
Author(s):  
Jun-Hao Lim ◽  
Cordelia-Kheng-May Lim ◽  
Imliya Ibrahim ◽  
Jazlina Syahrul ◽  
Mohd Hazli Mohamed Zabil ◽  
...  
Keyword(s):  
Content Analysis ◽  
Health Behavior ◽  
Self Management ◽  
Technical Quality ◽  
Dialysis Patients ◽  
Health Behavior Theory ◽  
Behavior Theory ◽  
Quantitative Content ◽  
The Mean

BACKGROUND With the unprecedented growth of mobile technology, a plethora of dialysis diet apps have been developed to promote patient dietary self-management. Nevertheless, the utility of such apps remains questionable. OBJECTIVE This study aimed to evaluate the content, features, and quality of commercial dialysis diet apps for adult dialysis patients. METHODS This study consisted of a quantitative content analysis of commercial dialysis diet apps downloaded from Google Play and the Apple App Store available in the Asian marketplace, searched for using the following keywords in English: <i>dialysis diet</i> and <i>diet for kidney disease</i>. Free and paid apps available in English that provide nutrition information for adult dialysis patients were included. Apps that were not relevant to the dialysis diet, not meant for patient self-management, or redundant were excluded. Apps were evaluated for language medium (subscore=1), credibility (subscore=1), food database (subscore=1), valuable features (subscore=12), health-behavior theory constructs (subscore=60), and technical quality (subscore=25). The relationships among the variables of interest were determined by Pearson correlation. Stepwise multiple linear regression analysis was performed to identify the features that contribute to greater technical quality of dialysis diet apps. Statistical significance was defined as <i>P</i>&lt;.05. RESULTS A total of 22 out of 253 apps (8.7%) were eligible for evaluation. Based on a 100-point scale, the mean overall score of the apps was 31.30 (SD 14.28). Only 5% (1/22) of the apps offered relevant language options, and 46% (10/22) contained food databases. In addition, 54% (12/22) of the apps were not credible. The mean score for valuable features was 3.45 (SD 1.63) out of 12, in which general education (16/22, 73%), free download (15/22, 68%), and usability (13/22, 59%) were the three most popular features. However, the apps scored a mean of 13.41 (SD 11.56) out of 60 for health-behavior theory constructs. The overall app technical quality was considered poor, with a mean score of 2.70 (SD 0.41) out of 5. The scores of valuable features (<i>r</i>=.65, <i>P</i>=.001) and health-behavior theory constructs (<i>r</i>=.55, <i>P</i>=.009) were positively correlated with the overall technical quality of the commercial dialysis diet apps. Features such as free download (β=.43, <i>P</i>=.03) and usability (β=.41, <i>P</i>=.03) could significantly determine the functional quality of the apps. Health-behavior theory constructs such as self-monitoring could significantly predict both the subjective quality (β=.55, <i>P</i>=.008) and the engagement quality (β=.66, <i>P</i>=.001) of the apps, whereas the information quality domain could be determined by plan or orders (β=.48, <i>P</i>=.007) and knowledge (β=.45, <i>P</i>=.01). CONCLUSIONS Although most of the available commercial dialysis diet apps are free and easy to use, they are subject to theory deficiency, limited language options, and a lack of food databases, credibility, tailored education, and overall technical quality.

scholarly journals It Gets Better: A Content Analysis of Health Behavior Theory in Anti-Bullying YouTube Videos

2013 ◽  
Vol 1 (2) ◽  
Author(s):  
Cameron E Lister ◽  
Elizabeth Brutsch ◽  
Amanda Johnson ◽  
Caitlin Boyer ◽  
P. Cougar Hall ◽  
...  
Keyword(s):  
Content Analysis ◽  
Health Behavior ◽  
Health Behavior Theory ◽  
Behavior Theory ◽  
Youtube Videos

scholarly journals Health Behavior Theory to Enhance eHealth Intervention Research in HIV: Rationale and Review

2018 ◽  
Vol 15 (6) ◽  
pp. 423-430 ◽  
Author(s):  
Jane M. Simoni ◽  
Keshet Ronen ◽  
Frances M. Aunon
Keyword(s):  
Health Behavior ◽  
Intervention Research ◽  
Health Behavior Theory ◽  
Behavior Theory ◽  
Ehealth Intervention

A Conceptual Application of Health Behavior Theory in the Design and Implementation of a Successful Surgical Weight Loss Program

2004 ◽  
Vol 14 (6) ◽  
pp. 849-856 ◽  
Author(s):  
Dale S. Bond ◽  
Ronald K. Evans ◽  
Eric J. DeMaria ◽  
Jill G. Meador ◽  
Beverly J. Warren ◽  
...  
Keyword(s):  
Weight Loss ◽  
Health Behavior ◽  
Weight Loss Program ◽  
Health Behavior Theory ◽  
Behavior Theory ◽  
Design And Implementation ◽  
Surgical Weight Loss

Health Behavior Theory for Pressure Ulcer Prevention

2016 ◽  
Vol 31 (1) ◽  
pp. 68-74
Author(s):  
Kristen R. Choi ◽  
Jennifer A. Ragnoni ◽  
Jonathan D. Bickmann ◽  
Hannah A. Saarinen ◽  
Ann K. Gosselin
Keyword(s):  
Health Behavior ◽  
Pressure Ulcer ◽  
Health Behavior Theory ◽  
Pressure Ulcer Prevention ◽  
Behavior Theory ◽  
Ulcer Prevention

scholarly journals Health behavior theory constructs and smoking and cessation-related behavior among survivors of ten cancers nine years after diagnosis: A report from the American Cancer Society's Study of Cancer Survivors-I

2015 ◽  
Vol 24 (10) ◽  
pp. 1286-1294 ◽  
Author(s):  
J. Lee Westmaas ◽  
Carla J. Berg ◽  
Kassandra I. Alcaraz ◽  
Kevin Stein
Keyword(s):  
Health Behavior ◽  
Cancer Survivors ◽  
Health Behavior Theory ◽  
Behavior Theory

scholarly journals Health Behavior Change Theories in Physical Activity Pins on Pinterest: A Content Analysis

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Samuel Patha ◽  
Cerissa Hayhurst ◽  
Nicole Ray ◽  
Helen Hilton ◽  
Cassidy Hine ◽  
...  
Keyword(s):  
Physical Activity ◽  
Content Analysis ◽  
Health Behavior ◽  
Behavior Change ◽  
Health Behavior Change ◽  
Behavior Change Theories
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