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Related papers: The Relationship between Moderate to Vigorous Phys…

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Metabolic syndrome (MetS) is a medication condition characterized by abdominal obesity, insulin resistance, hypertension and hyperlipidemia. It increases the risk of majority of chronic diseases, including type 2 diabetes mellitus, and…

Artificial Intelligence · Computer Science 2025-05-14 Yichen Zhao , Yuhua Wang , Xi Cheng , Junhao Fang , Yang Yang

Metabolic Syndrome (MetS) is a cluster of interrelated risk factors that significantly increases the risk of cardiovascular diseases and type 2 diabetes. Despite its global prevalence, accurate prediction of MetS remains challenging due to…

Machine Learning · Computer Science 2026-03-10 Sanyam Paresh Shah , Abdullah Mamun , Shovito Barua Soumma , Hassan Ghasemzadeh

Visceral adipose tissue (VAT) is a key marker of both metabolic health and habitual physical activity (PA). Excess VAT is highly correlated with type 2 diabetes and insulin resistance. The mechanistic basis for this pathophysiology relates…

Signal Processing · Electrical Eng. & Systems 2025-10-02 James R. Williamson , Andrew Alini , Brian A. Telfer , Adam W. Potter , Karl E. Friedl

Low physical activity is a known risk factor for major depressive disorder (MDD), but changes in activity before a first clinical diagnosis remain unclear, especially using long-term objective measurements. This study characterized…

Physical activity (PA) is an important risk factor for many health outcomes. Wearable-devices such as accelerometers are increasingly used in biomedical studies to understand the associations between PA and health outcomes. Statistical…

Methodology · Statistics 2021-12-08 Sneha Jadhav , Carmen D. Tekwe , Yuanyuan Luan

In this paper, models of the blood glucose (BG) dynamics in people with Type 1 diabetes (T1D) in response to moderate intensity aerobic activity are derived from physiology-based first principles and system identification experiments. We…

Systems and Control · Electrical Eng. & Systems 2023-07-18 Mehrad Jaloli , Marzia Cescon

The role played by physical activity in slowing down the progression of type-2 diabetes is well recognized. However, except for general clinical guidelines, quantitative real-time estimates of the recommended amount of physical activity,…

Systems and Control · Electrical Eng. & Systems 2025-03-13 Pierluigi Francesco De Paola , Alessandro Borri , Alessia Paglialonga , Pasquale Palumbo , Fabrizio Dabbene

Type 2 diabetes progresses slowly and may be reversed through lifestyle changes, but quantifying the long-term impact of regular physical activity remains challenging due to sparse longitudinal data. Mechanistic models offer a powerful tool…

Quantitative Methods · Quantitative Biology 2026-02-17 Lea Multerer , Pierluigi Francesco De Paola , Marta Lenatti , Alessia Paglialonga , Laura Azzimonti

Background: This study examines cardiometabolic (CM) risk factors in an urban South Asian population, integrating medical and Anthropological perspectives to explore the effects of socio-economic, lifestyle, gender-specific factors, and…

Quantitative Methods · Quantitative Biology 2024-12-11 Karishma Yasmin

Metabolic syndrome is a complex clinical condition characterized by the simultaneous presence of multiple metabolic risk factors and represents a major public health concern. The syndrome develops silently and may remain undiagnosed for…

Applications · Statistics 2026-05-27 Simone Colombara , Ilenia Epifani , Alessandra Guglielmi , Ettore Lanzarone

Physical activity is a modifiable lifestyle factor with potential to support cognitive resilience. However, the association of moderate-to-vigorous physical activity (MVPA) intensity, and timing, with cognitive function and region-specific…

Neurons and Cognition · Quantitative Biology 2025-09-10 Wasif Khan , Lin Gu , Noah Hammarlund , Lei Xing , Joshua K. Wong , Ruogu Fang

Prediabetes is a common health condition that often goes undetected until it progresses to type 2 diabetes. Early identification of prediabetes is essential for timely intervention and prevention of complications. This research explores the…

Signal Processing · Electrical Eng. & Systems 2025-04-08 Dimitra Tatli , Vasileios Papapanagiotou , Aris Liakos , Apostolos Tsapas , Anastasios Delopoulos

Despite the well-acknowledged benefits of physical activity for type 2 diabetes (T2D) prevention, the literature surprisingly lacks validated models able to predict the long-term benefits of exercise on T2D progression and support…

Systems and Control · Electrical Eng. & Systems 2024-04-24 Pierluigi Francesco De Paola , Alessandro Borri , Fabrizio Dabbene , Karim Keshavjee , Pasquale Palumbo , Alessia Paglialonga

While physical activity has been described as a primary prevention against chronic diseases, strenuous physical exertion under adverse ambient conditions has also been reported as a major contributor to exacerbation of chronic respiratory…

Signal Processing · Electrical Eng. & Systems 2021-12-17 Chinazunwa Uwaoma

Multiple sclerosis (MS) is a progressive inflammatory and neurodegenerative disease of the central nervous system affecting over 2.5 million people globally. In-clinic six-minute walk test (6MWT) is a widely used objective measure to…

Recent research has shown there can be detrimental neurological effects of short- and long-term exposure to contact sports. In the present study, metabolomic profiling was combined with inflammatory miRNA quantification, computational…

Quantitative Methods · Quantitative Biology 2020-06-25 Nicole L. Vike , Sumra Bari , Khrystyna Stetsiv , Linda Papa , Eric A. Nauman , Thomas M. Talavage , Semyon Slobounov , Hans C. Breiter

While there is wide agreement that physical activity is an important component of a healthy lifestyle, it is unclear how many people adhere to public health recommendations on physical activity. The Physical Activity Guidelines (PAG),…

Applications · Statistics 2023-08-14 Daniel Ries , Alicia Carriquiry

Understanding physiological responses during running is critical for performance optimization, tailored training prescriptions, and athlete health management. We introduce a comprehensive framework -- what we believe to be the first capable…

Machine Learning · Computer Science 2025-05-02 Barak Gahtan , Sanketh Vedula , Gil Samuelly Leichtag , Einat Kodesh , Alex M. Bronstein

MEx: Multi-modal Exercises Dataset is a multi-sensor, multi-modal dataset, implemented to benchmark Human Activity Recognition(HAR) and Multi-modal Fusion algorithms. Collection of this dataset was inspired by the need for recognising and…

Computer Vision and Pattern Recognition · Computer Science 2019-08-27 Anjana Wijekoon , Nirmalie Wiratunga , Kay Cooper

Personal health devices can enable continuous monitoring of health parameters. However, the benefit of these devices is often directly related to the frequency of use. Therefore, adherence to personal health devices is critical. This paper…

Computers and Society · Computer Science 2020-06-11 Sudip Vhaduri , Temiloluwa Prioleau
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