INTRODUCTION: Smartphone applications (apps) facilitate the collection of data on multiple aspects of behavior that are useful for characterizing baseline patterns and for monitoring progress in interventions aimed at promoting healthier lifestyles.

BACKGROUND: Mobile health monitoring using wearable sensors is a growing area of interest.

In a pilot randomized controlled trial involving overweight or obese participants with type 2 diabetes, we find that smartphone users have sharply higher adherence to self-monitoring of diet, physical activity, blood glucose, and body weight, as compared to paper diary users.

OBJECTIVE: Maternal adiposity confers an increased risk of GDM in pregnancy. A low glycemic index (GI) dietary intervention has been found to improve glucose homeostasis and reduce gestational weight gain.

BACKGROUND: To our knowledge, no meta-analysis to date has assessed the efficacy of mobile phone apps to promote weight loss and increase physical activity.

BACKGROUND: We hypothesized that a fully automated mobile health (mHealth) intervention with tracking and texting components would increase physical activity.

BACKGROUND: Effective weight loss interventions are widely available but, after weight loss, most individuals regain weight.

Physical activity (PA) and sedentary behaviours (SB-i.e. activities involving low-energy expenditure and a sitting/reclining posture) may each have significant implications for weight loss and other bariatric surgery outcomes.

BACKGROUND: Given the global prevalence of insufficient physical activity (PA), effective interventions that attenuate age-related decline in PA levels are needed.

A randomized controlled trial is being conducted in the United States to test the efficacy of a personalized interactive mobile health intervention (iSTEP) designed to increase physical activity (PA) and improve neurocognitive functioning among HIV-positive persons.