A Physical Activity and Diet Program Delivered by Artificially Intelligent Virtual Health Coach: Proof-of-Concept Study.

Background: Poor diet and physical inactivity are leading modifiable causes of death and disease. Advances in artificial intelligence technology present tantalizing opportunities for creating virtual health coaches capable of providing personalized support at scale.

Objective: This proof of concept study aimed to test the feasibility (recruitment and retention) and preliminary efficacy of physical activity and Mediterranean-style dietary intervention (MedLiPal) delivered via artificially intelligent virtual health coach.

Physical activity predicts quality of life and happiness in children and adolescents with cerebral palsy.

Purpose: To examine the associations between physical activity, health-related quality of life and happiness in young people with cerebral palsy.

Method: A total of 70 young people with cerebral palsy (45 males, 25 females; mean age 13 years 11 months, SD 2 years 0 month) took part in a cross-sectional, descriptive postal survey assessing physical activity (Physical Activity Questionnaire for Adolescents), functional ability (Gross Motor Function Classification System), quality of life (Pediatric Quality of Life Inventory 4.0) and happiness (single Likert-scale item).

The place of physical activity in the time budgets of 10- to 13-year-old Australian children.

Background: Low physical activity has been associated with increased fatness and deceased fitness. This observational study aimed to describe the magnitude, composition, and time-distribution of moderate-to-vigorous physical activity (MVPA) in Australian children.

Methods: A total of 1132 10 to 13 year old schoolchildren completed a 24-h activity recall diary on 2 to 4 occasions.