Consistency between definitions and measurement of mindfulness in eating and physical activity behavior: a scoping review.

Mindfulness (i.e., relating to one's internal and external awareness with non-evaluative attitudes) is increasingly applied as a determinant and strategy to change dietary and physical activity behaviours in the general adult population.

How to use machine learning and fuzzy cognitive maps to test hypothetical scenarios in health behavior change interventions: a case study on fruit intake.

Background: Intervention planners use logic models to design evidence-based health behavior interventions. Logic models that capture the complexity of health behavior necessitate additional computational techniques to inform decisions with respect to the design of interventions.

Objective: Using empirical data from a real intervention, the present paper demonstrates how machine learning can be used together with fuzzy cognitive maps to assist in designing health behavior change interventions.

Using mHealth for Primary Prevention of Dementia: A Proof-of-Concept Study on Usage Patterns, Appreciation, and Beliefs and Attitudes Regarding Prevention.

Background: Health- and lifestyle factors account for a substantial part of all dementia cases, which opens the opportunity for primary prevention. However, the required behavioral change is complex and involves targeting multiple risk factors. mHealth interventions can potentially contribute to improving motivation in a low-cost and scalable way.

Examining socio-cognitive factors and beliefs about mindful eating in healthy adults with differing practice experience: a cross-sectional study.

Background: Mindful eating (ME), defined as a "non-judgmental awareness of bodily and emotional sensations regarding food consumption", may be a promising strategy to promote healthy eating behaviors. However, little is known about the psychosocial factors and underlying beliefs that explain ME adoption.

Methods: Participants (N = 282; M = 43.

How stress-related factors affect mental wellbeing of university students A cross-sectional study to explore the associations between stressors, perceived stress, and mental wellbeing.

Background: Lowered mental wellbeing of students is a growing health and societal problem. Experiencing high levels of stress for a longer period of time has been associated with an increased risk for lower mental wellbeing and mental health problems. To reduce stress and improve mental wellbeing it is important to understand how various sources of stress are related with mental wellbeing and which factors can buffer the impact of stress on mental wellbeing.