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Evaluation of Breastfeeding App Features: Content Analysis Study
Lauren M. Dinour
,
Antoinette Pole
Nutrition and Food Studies
Political Science and Law
Research output
:
Contribution to journal
›
Article
›
peer-review
4
Scopus citations
Overview
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Dive into the research topics of 'Evaluation of Breastfeeding App Features: Content Analysis Study'. Together they form a unique fingerprint.
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Keyphrases
Solid Food
100%
App Features
100%
Content Analysis Study
100%
Star Rating
66%
User Ratings
50%
Infant Care
33%
Bottle Feeding
33%
Health Apps
33%
Food Features
33%
Track Features
33%
Linear Regression
16%
United States
16%
Smartphone
16%
Caregivers
16%
Descriptive Statistics
16%
Convenience Sampling
16%
Number of Features
16%
Mann-Whitney U Test
16%
Infant Health
16%
Interactivity
16%
Informatics
16%
Android
16%
Technical Characteristics
16%
State Reporting
16%
Infant Feeding
16%
Google Play Store
16%
High Users
16%
Infant Health Care
16%
App Rating
16%
Food Index
16%
Spearman Rank Correlation
16%
Health Metrics
16%
Tracking Behavior
16%
Technical Index
16%
Apple App Store
16%
Regression Logistic
16%
Five Stars
16%
Test Rank
16%
Mobile Health Apps
16%
Non-tracking
16%
Binary Logistic Regression Analysis
16%
Nursing and Health Professions
Content Analysis
100%
Infant Care
100%
Bottle Feeding
100%
Cross-Sectional Study
50%
Logistic Regression Analysis
50%
Linear Regression Analysis
50%
Rank Sum Test
50%
Infant Feeding
50%
Psychology
Bottle Feeding
100%
Linear Regression
50%
Caregiver
50%
Regression Analysis
50%
Interactivity
50%
Android
50%
Mobile Phones
50%
Food Science
Infant Food
100%
Infant Feeding
50%