From Fat Cell to Fit Tech: Review on Management and Monitoring of Obesity and Role of Wearable Device

Obesity is a complex global health concern that is associated with increased rates of illness, death, and financial hardship. Traditional monitoring techniques, such as BMI and routine lab testing, usually fail to record the physiological and behavioral information required for real-time early intervention. The management of obesity has seen a revolution thanks to wearable health technology (WHTs), which offer continuous monitoring of metabolic indicators, sleep, stress, physical activity, and caloric expenditure. This review explores how WHTs can be integrated with telemedicine, smart textiles, and artificial intelligence to deliver personalized, predictive care. Clinical studies and systematic reviews have demonstrated that wearable-based therapies enhance behavioral adherence, weight loss, and metabolic outcomes. However, there are still problems with cost, privacy, data accuracy, and user compliance. These problems need to be fixed if wearables are to be extensively utilized in therapeutic contexts. The report concludes by outlining possible future directions, including implantable sensors, AI-enhanced analytics, and ethical data governance, to optimize the treatment of obesity and prevent chronic diseases.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-27
DOI
https://doi.org/10.5281/zenodo.15757153
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

From Fat Cell to Fit Tech: Review on Management and Monitoring of Obesity and Role of Wearable Device

Zenodo (CERN European Organization for Nuclear Research)
Mobile Health and mHealth Applications
article

From Fat Cell to Fit Tech: Review on Management and Monitoring of Obesity and Role of Wearable Device

article en

Abstract

Obesity is a complex global health concern that is associated with increased rates of illness, death, and financial hardship. Traditional monitoring techniques, such as BMI and routine lab testing, usually fail to record the physiological and behavioral information required for real-time early intervention. The management of obesity has seen a revolution thanks to wearable health technology (WHTs), which offer continuous monitoring of metabolic indicators, sleep, stress, physical activity, and caloric expenditure. This review explores how WHTs can be integrated with telemedicine, smart textiles, and artificial intelligence to deliver personalized, predictive care. Clinical studies and systematic reviews have demonstrated that wearable-based therapies enhance behavioral adherence, weight loss, and metabolic outcomes. However, there are still problems with cost, privacy, data accuracy, and user compliance. These problems need to be fixed if wearables are to be extensively utilized in therapeutic contexts. The report concludes by outlining possible future directions, including implantable sensors, AI-enhanced analytics, and ethical data governance, to optimize the treatment of obesity and prevent chronic diseases.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 36%
Mobile Health and mHealth Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

From Fat Cell to Fit Tech: Review on Management and Monitoring of Obesity and Role of Wearable Device · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS