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Physical inactivity is a leading risk factor for non-communicable diseases. Climate change is now regarded as the biggest threat to global public health. Electric micromobility (e-micromobility, including e-bikes, e-cargo bikes, and e-scooters) has the potential to simultaneously increase people's overall physical activity while decreasing greenhouse gas emissions where it substitutes for motorised transport.

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The ability of environmental cues to trigger alcohol-seeking behaviours is thought to facilitate problematic alcohol use. Individuals' tendency to attribute incentive salience to cues may increase the risk of addiction. We sought to study the relationship between incentive salience and alcohol addiction using non-preferring rats to model the heterogeneity of human alcohol consumption, investigating both males and females.

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Aims: This study aimed to determine the effect of a multi-component mHealth intervention on patient activation and examine its predictors among older adults at risk of cardiovascular disease (CVD).

Methods And Results: This pilot randomized controlled trial compared two groups: Get FIT (control), who received healthy lifestyle counselling from a licensed health coach, a mHealth app (MyFitnessPal) with push alerts, and an activity tracker, and Get FIT + (intervention), who received the same interventions and had personalized text messages with 3- and 6-month follow-up periods. Patient activation was measured using the 13-item Patient Activation Measure; higher scores indicated better activation.

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Introduction: Cardiovascular disease (CVD) is the leading cause of mortality worldwide, though it may be prevented by increasing physical activity (PA). When behaviour change techniques (BCTs) are bundled together, they increase PA, though which individual BCTs increase PA (and the behavioural mechanism of action (MoA) responsible for said increase) have not been studied. The aim of this study is to conduct a randomised factorial experiment to determine which of four BCTs significantly engage the proposed MoA-self-efficacy for PA-in adults at risk for CVD.

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Exploring the Use of Activity Trackers to Support Physical Activity and Reduce Sedentary Behavior in Adults Diagnosed With Type 2 Diabetes: Qualitative Interview Study Using the RE-AIM Framework.

JMIR Diabetes

December 2024

Department of Physical Activity for Health, School of Psychological Sciences and Health, University of Strathclyde, 16 Richmond Street, Glasgow, G1 1XQ, United Kingdom, 44 07753324172.

Background: The prevalence of type 2 diabetes in adults worldwide is increasing. Low levels of physical activity and sedentary behavior are major risk factors for developing the disease. Physical activity interventions incorporating activity trackers can reduce blood glucose levels in adults diagnosed with type 2 diabetes.

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