Objective: To present an overview of how artificial intelligence (AI) could be used to regulate
eating and dietary behaviours, exercise behaviours and weight loss. Design: A sco** …

Background Prevention of binge eating through just-in-time mobile interventions requires
the prediction of respective high-risk times, for example, through preceding affective states …

Objective To identify the core components of digital behaviour change interventions for
weight loss maintenance targeting physical activity, in terms of:(i) behaviour change …

Ecological momentary assessment (EMA; brief self-report surveys) of dietary lapse risk
factors (eg, cravings) has shown promise in predicting and preventing dietary lapse …

Objective: To examine associations of objectively-measured physical activity (PA) with
changes in weight after roux-en-Y gastric bypass (RYGB) over 7 years. Background: The …

Background: Research investigating interrelations between physical activity and dietary
intake has primarily used retrospective, summary-based measures of behavior subject to …

Objetivo: La pérdida de peso es el resultado de un balance energético negativo, cuando la
ingesta de energía (EI, por sus siglas en inglés) es menor que la energía gastada, por …

Previous cross-sectional research indicates a link between stress and unhealthy eating, but
the longitudinal association remains unknown. This study examined the longitudinal …

Negative emotional experiences are associated with dysregulated eating behaviors that
impede weight management. While weight loss interventions promote physical activity and …

Dietary lapses (ie, specific instances of nonadherence to recommended dietary goals)
contribute to suboptimal weight loss outcomes during lifestyle modification programs …