Machine Learning-Based Aggression Detection in Children with ADHD Using Sensor-Based Physical Activity Monitoring.

Aggression in children is highly prevalent and can have devastating consequences, yet there is currently no objective method to track its frequency in daily life. This study aims to investigate the use of wearable-sensor-derived physical activity data and machine learning to objectively identify physical-aggressive incidents in children. Participants (n = 39) aged 7 to 16 years, with and without ADHD, wore a waist-worn activity monitor (ActiGraph, GT3X+) for up to one week, three times over 12 months, while demographic, anthropometric, and clinical data were collected. Machine learning techniques, specifically random forest, were used to analyze patterns that identify physical-aggressive incident with 1-min time resolution. A total of 119 aggression episodes, lasting 7.3 ± 13.1 min for a total of 872 1-min epochs including 132 physical aggression epochs, were collected. The model achieved high precision (80.2%), accuracy (82.0%), recall (85.0%), F1 score (82.4%), and area under the curve (89.3%) to distinguish physical aggression epochs. The sensor-derived feature of vector magnitude (faster triaxial acceleration) was the second contributing feature in the model, and significantly distinguished aggression and non-aggression epochs. If validated in larger samples, this model could provide a practical and efficient solution for remotely detecting and managing aggressive incidents in children.

Cultural responses to health among Mexican American women and their families.

Based on an in-depth analysis of current empirical research, this article presents a framework for understanding the cultural experience of the Mexican American population and presents implications for innovative health promotion practices with women and their families. The framework sheds light on the complex ways in which individuals from this population integrate their cultural values in their everyday responses to health. Three patterns emerge: (a) cultural expectations and beliefs can be shared by and work complementarily in the family and the larger social context; (b) cultural beliefs can be a source of tension and stress as a result of pressures in the environment; and (c) cultural values can become less important than other concerns, such as problems related to access when dealing with the healthcare system.