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This study shows the feasibility of an eHealth solution for tackling eating habits and physical activity in the adolescent population. The participants were children from 11 to 15 years old. An intervention was carried out on 139 students…

Obesity is a global health challenge. According to the World Health Organization (WHO), between 1990 and 2022, adult obesity more than doubled. Weight management interventions (WMIs) support individuals in achieving and maintaining a…

Human-Computer Interaction · Computer Science 2026-04-09 Suncica Hadzidedic , Jingyun Wang , Victor Elijah Adeyemo , George Sanders , Grant Westermann

Youth experiencing homelessness (YEH) are subject to substantially greater risk of HIV infection, compounded both by their lack of access to stable housing and the disproportionate representation of youth of marginalized racial, ethnic, and…

Social and Information Networks · Computer Science 2020-12-04 Bryan Wilder , Laura Onasch-Vera , Graham Diguiseppi , Robin Petering , Chyna Hill , Amulya Yadav , Eric Rice , Milind Tambe

Childhood and adolescent obesity rates are a global concern because obesity is associated with chronic diseases and long-term health risks. Artificial intelligence technology has emerged as a promising solution to accurately predict obesity…

Artificial Intelligence · Computer Science 2023-09-01 Ji-Hoon Jeong , In-Gyu Lee , Sung-Kyung Kim , Tae-Eui Kam , Seong-Whan Lee , Euijong Lee

The ability to shape health behaviors of large populations automatically, across wearable types and disease conditions at scale has tremendous potential to improve global health outcomes. We designed and implemented an AI driven platform…

Human-Computer Interaction · Computer Science 2024-02-12 Jodi Chiam , Aloysius Lim , Cheryl Nott , Nicholas Mark , Ankur Teredesai , Sunil Shinde

Background: Adolescents are particularly vulnerable to mental disorders, with over 75% of cases manifesting before the age of 25. Research indicates that only 18 to 34% of young people experiencing high levels of depression or anxiety…

Aim: To study the existence of subgroups by exploring the similarities between the attributes of the nodes of the groups, in relation to diet and gender and, to analyse the connectivity between groups based on aspects of similarities…

Purpose: Identify and examine the associations between health behaviors and increased risk of adolescent suicide attempts, while controlling for socioeconomic and demographic differences. Design: A data-driven analysis using cross-sectional…

Applications · Statistics 2020-09-10 Zhiyuan Wei , Sayanti Mukherjee

Promoting healthy lifestyle behaviors remains a major public health concern, particularly due to their crucial role in preventing chronic conditions such as cancer, heart disease, and type 2 diabetes. Mobile health applications present a…

Machine Learning · Computer Science 2024-05-24 Aishwarya Mandyam , Matthew Jörke , William Denton , Barbara E. Engelhardt , Emma Brunskill

Unhealthy lifestyles could cause many chronic diseases, which bring patients and their families much burden. Research has shown the potential of digital technologies for supporting health behavior change to help us prevent these chronic…

Human-Computer Interaction · Computer Science 2019-01-30 Yunlong Wang , Ahmed Fadhil , Harald Reiterer

Technology has recently been recruited in the war against the ongoing obesity crisis; however, the adoption of Health & Fitness applications for regular exercise is a struggle. In this study, we present a unique demographically…

Human-Computer Interaction · Computer Science 2019-04-02 Yelena Mejova , Kyriaki Kalimeri

We propose and create an incentive based recommendation algorithm aimed at improving the lifestyle of diabetic patients. This algorithm is integrated into a real world mobile application to provide personalized health recommendations.…

Human-Computer Interaction · Computer Science 2025-04-22 Wasim Abbas , Hafiz Syed Muhammad Bilal , Asim Abbas , Muhammad Afzal , Je-Hoon Lee

Sufficient physical activity can prolong the ability of older adults to live inde-pendently. Community-based exercise programs can be enhanced by regularly performing exercises at home. To support such a home-based exercise program, a…

Human-Computer Interaction · Computer Science 2021-01-26 Sumit Mehra , Jantine van den Helder , Ben J. A. Kröse , Raoul H. H. Engelbert , Peter J. M. Weijs , Bart Visser

Objectives: This study analyzed adolescent physical activity, its link to overweight, and the social network structure in group sports participants, focusing on centrality measures. Setting: Conducted in 11 classrooms across 5 schools in…

Social and Information Networks · Computer Science 2024-02-15 Pilar Marqués-Sánchez , José Alberto Benítez-Andrades , María Dolores Calvo Sánchez , Natalia Arias

This paper investigates the relationship between social media and eating practices amongst 42 internet users aged 18-26. We conducted an ethnography in the US and India to observe how they navigated eating and health information online. We…

Human-Computer Interaction · Computer Science 2024-03-01 Rachel Xu , Nhu Le , Rebekah Park , Laura Murray

This research paper presents a meta-analysis of the multifaceted role of technology in mental health. The pervasive influence of technology on daily lives necessitates a deep understanding of its impact on mental health services. This study…

Human-Computer Interaction · Computer Science 2023-07-28 Hamza Mohammed

Substance use and abuse is a significant public health problem in the United States. Group-based intervention programs offer a promising means of preventing and reducing substance abuse. While effective, unfortunately, inappropriate…

Social and Information Networks · Computer Science 2019-02-04 Aida Rahmattalabi , Anamika Barman Adhikari , Phebe Vayanos , Milind Tambe , Eric Rice , Robin Baker

The rapid growth in mobile healthcare technology could significantly help control chronic diseases, such as diabetes. This paper presents a systematic review to characterise type 1 & type 2 diabetes management applications available in…

Computers and Society · Computer Science 2019-04-23 Ahmed Fadhil , Yunlong Wang

This study analyzes patterns of physical, mental, lifestyle, and personality factors in college students in different periods over the course of a semester and models their relationships with students' academic performance. The data…

Advances in IoT technologies combined with new algorithms have enabled the collection and processing of high-rate multi-source data streams that quantify human behavior in a fine-grained level and can lead to deeper insights on individual…

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