mHealth Applications to Monitor Lifestyle Behaviors and Circadian Rhythm in Clinical Settings: Current Perspective and Future Directions

• Type: Article in International Scientific Journal
• Date: 2022

Authors

Rosa, I (Author) Other; Lages, M (Author) Other; Grilo, C (Author) Other; Barros, Renata (Author) FCNAUP; Guarino, MP (Author) Other

Journal

Title: Frontiers in Public Health

Vol. 66

Publisher: Frontiers Media

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 1 Citation

Scientific classification

CORDIS: Health sciences

FOS: Medical and Health sciences

Other information

Authenticus ID: P-00W-Y25

DOI: 10.3389/fpubh.2022.862065

Abstract (EN): Metabolic diseases are a global rising health burden, mainly due to the deleterious interaction of current lifestyles with the underlying biology of these diseases. Daily habits and behaviors, such as diet, sleep, and physical exercise impact the whole-body circadian system through the synchronization of the peripheral body clocks that contribute to metabolic homeostasis. The disruption of this system may promote the development of metabolic diseases, including obesity and diabetes, emphasizing the importance of assessing and monitoring variables that affect circadian rhythms. Advances in technology are generating innovative resources and tools for health care management and patient monitoring, particularly important for chronic conditions. The use of mobile health technologies, known as mHealth, is increasing and these approaches are contributing to aiding both patients and healthcare professionals in disease management and education. The mHealth solutions allow continuous monitoring of patients, sharing relevant information and data with physicians and other healthcare professionals and accessing education resources to support informed decisions. Thus, if properly used, these tools empower patients and help them to adopt healthier lifestyles. This article aims to give an overview of the influence of circadian rhythms disruption and lifestyle habits in the progression of metabolic diseases while also reviewing some of the mobile applications available to monitor lifestyle behaviors and individual chronobiology. Herein is also described the design and development of the NutriClock system, an mHealth solution developed by our team to monitor these variables.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10