Background: The emergence of smartphones has sparked a transformation across multiple fields, with health care being one of the most notable due to the advent of mobile health (mHealth) apps. As mHealth apps have gained popularity, there is a need to understand their energy consumption patterns as an integral part of the evolving landscape of health care technologies.
Objective: This study aims to identify the key contributors to elevated energy consumption in mHealth apps and suggest methods for their optimization, addressing a significant void in our comprehension of the energy dynamics at play within mHealth apps.
Worldwide, there is a continued rise in malnutrition and noncommunicable disease, along with rapidly changing dietary patterns, demographics, and climate and persistent economic inequality and instability. These trends have led to a national and global focus on nutrition-specific and nutrition-sensitive interventions to improve population health. A well-trained public health and community nutrition workforce is critical to manage and contribute to these efforts.
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