Trends and Perspectives of mHealth in Obesity Control

The proliferation of mobile health (mHealth) technologies has revolutionized healthcare delivery, particularly in obesity control. This descriptive study aimed to identify the evolving trends and perspectives of mHealth interventions targeting obesity control, leveraging insights from the ChatGPT language model accessed on 1 January 2024. Eighteen items and 32 questions were used to assess trends and perspectives in mHealth for obesity control, with 8 items and 16 questions dedicated to each aspect, respectively. Key trends identified include personalized interventions, integration of emerging technologies, remote monitoring and telemedicine, behavioral economics strategies, and enhanced user engagement. Perspectives highlight potential for equity, empowerment through self-management, privacy and security concerns, evidence-based practice, and interdisciplinary approaches. These findings shed light on mHealth’s potential in combating obesity, offering valuable insights for healthcare practitioners, researchers, and policymakers. They underscore the significance of leveraging technology to address the global burden of obesity and advocate for collaborative efforts to maximize mHealth solutions’ impact on promoting healthier lifestyles and reducing obesity-related complications.

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Publication Details

Journal
Applied Sciences
Published
2024-12-26
DOI
https://doi.org/10.3390/app15010074
Citations
2
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
1.70
Controls
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article

Trends and Perspectives of mHealth in Obesity Control

Sang-Dol Kim
2 citations
Applied Sciences
Mobile Health and mHealth Applications
1.70
article

Trends and Perspectives of mHealth in Obesity Control

Sang-Dol Kim
article en
2 citations

Abstract

The proliferation of mobile health (mHealth) technologies has revolutionized healthcare delivery, particularly in obesity control. This descriptive study aimed to identify the evolving trends and perspectives of mHealth interventions targeting obesity control, leveraging insights from the ChatGPT language model accessed on 1 January 2024. Eighteen items and 32 questions were used to assess trends and perspectives in mHealth for obesity control, with 8 items and 16 questions dedicated to each aspect, respectively. Key trends identified include personalized interventions, integration of emerging technologies, remote monitoring and telemedicine, behavioral economics strategies, and enhanced user engagement. Perspectives highlight potential for equity, empowerment through self-management, privacy and security concerns, evidence-based practice, and interdisciplinary approaches. These findings shed light on mHealth’s potential in combating obesity, offering valuable insights for healthcare practitioners, researchers, and policymakers. They underscore the significance of leveraging technology to address the global burden of obesity and advocate for collaborative efforts to maximize mHealth solutions’ impact on promoting healthier lifestyles and reducing obesity-related complications.

Applied SciencesVol. 15(1)
Kangwon National University (KR)
Openalex Percentile: Top 12%
Mobile Health and mHealth Applications
1.70
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