This paper is in the following e-collection/theme issue:

Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (345) mHealth for Wellness, Behavior Change and Prevention (2523) Mobile Health (mhealth) (2355) Obesity (52)

Published on in Vol 10, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15719, first published .
The Quality of Indian Obesity-Related mHealth Apps: PRECEDE-PROCEED Model–Based Content Analysis

The Quality of Indian Obesity-Related mHealth Apps: PRECEDE-PROCEED Model–Based Content Analysis

The Quality of Indian Obesity-Related mHealth Apps: PRECEDE-PROCEED Model–Based Content Analysis

Authors of this article:

Shanmuga Nathan Selvaraj 1 Author Orcid Image ;   Arulchelvan Sriram 1 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Uncovska M, Freitag B, Meister S, Fehring L. Rating analysis and BERTopic modeling of consumer versus regulated mHealth app reviews in Germany. npj Digital Medicine 2023;6(1) View
  2. Nazlin Kamaruzaman K, Hussein Z, Fikry A. Factors Affecting Behavioural Intention to Use Mobile Health Applications among Obese People in Malaysia. European Journal of Business Science and Technology 2023;9(1):92 View