AIMC Topic: Sedentary Behavior
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The predictive role of sedentary behavior and physical activity on adolescent depressive symptoms: A machine learning approach.
Journal of affective disorders
Feb 25, 2025
OBJECTIVE: This study aims to investigate the predictive value of sedentary behavior and physical activity in adolescent depressive symptoms.
Machine learning modeling for predicting adherence to physical activity guideline.
Scientific reports
Feb 15, 2025
This study aims to create predictive models for PA guidelines by using ML and examine the critical determinants influencing adherence to the PA guidelines. 11,638 entries from the National Health and Nutrition Examination Survey were analyzed. Variab...
Social Robots and Sensors for Enhanced Aging at Home: Mixed Methods Study With a Focus on Mobility and Socioeconomic Factors.
JMIR aging
Nov 25, 2024
BACKGROUND: Population aging affects society, with a profound impact on daily activities for those of a low socioeconomic status and with motor impairments. Social assistive robots (SARs) and monitoring technologies can improve older adults' well-bei...
Characterizing daily physical activity patterns with unsupervised learning via functional mixture models.
Journal of behavioral medicine
Sep 21, 2024
Physical inactivity is a significant public health concern. Consideration of inter-individual variations in physical activity (PA) trends can provide additional information about the groups under study to aid intervention design. This study aims to i...
Using explainable machine learning and fitbit data to investigate predictors of adolescent obesity.
Scientific reports
May 31, 2024
Sociodemographic and lifestyle factors (sleep, physical activity, and sedentary behavior) may predict obesity risk in early adolescence; a critical period during the life course. Analyzing data from 2971 participants (M = 11.94, SD = 0.64 years) wear...
Deep learning of movement behavior profiles and their association with markers of cardiometabolic health.
BMC medical informatics and decision making
Mar 13, 2024
BACKGROUND: Traditionally, existing studies assessing the health associations of accelerometer-measured movement behaviors have been performed with few averaged values, mainly representing the duration of physical activities and sedentary behaviors. ...
Artificial Intelligence and Machine Learning-Powerful Yet Underutilized Tools and Algorithms in Physical Activity and Sedentary Behavior Research.
Journal of physical activity & health
Feb 9, 2024
Machine learning and ontology in eCoaching for personalized activity level monitoring and recommendation generation.
Scientific reports
Nov 18, 2022
Leading a sedentary lifestyle may cause numerous health problems. Therefore, passive lifestyle changes should be given priority to avoid severe long-term damage. Automatic health coaching system may help people manage a healthy lifestyle with continu...
Development of a Smart Chair Sensors System and Classification of Sitting Postures with Deep Learning Algorithms.
Sensors (Basel, Switzerland)
Jul 26, 2022
Nowadays in modern societies, a sedentary lifestyle is almost inevitable for a majority of the population. Long hours of sitting, especially in wrong postures, may result in health complications. A smart chair with the capability to identify sitting ...
Let's (Tik) Talk About Fitness Trends.
Frontiers in public health
Jul 11, 2022
Several factors that follow the development of society affect physical inactivity, which primarily includes the development of technology and digitalization and the increasing choice of unhealthy lifestyle habits. However, certain shifts in the fitne...
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