Background We hypothesized that a fully automated mobile health (mH ealth) intervention with tracking and texting components would increase physical activity. Methods and Results …
" Designated a Doody's Core Title! Praise for the previous edition: This reference is valuable to scholars at all levels of nursing and is especially useful to researchers.... With this volume …
A Baum, TA Revenson, J Singer - 2012 - taylorfrancis.com
Considered the most comprehensive handbook in the field, this rich resource reviews the biological, psychological, and social factors that affect health, health behavior, and illness …
T Aalbers, MAE Baars, MGMO Rikkert - Ageing research reviews, 2011 - Elsevier
Worldwide, the number of people aged 60 years and older steadily grows to a predicted 2 billion in 2050. Online interventions increasingly target lifestyle risk factors to promote …
CA Wijsman, RGJ Westendorp, EALM Verhagen… - Journal of medical …, 2013 - jmir.org
Background: Lack of physical activity leads to detrimental changes in body composition and metabolism, functional decline, and increased risk of disease in old age. The potential of …
Background: Incorporating social media features into digital behavior change interventions (DBCIs) has the potential to contribute positively to their success. However, the lack of clear …
Methods: The two-arm randomized-controlled trial was conducted for patients with MetS from June through December 2012 in Tehran, Iran. Participants (n= 160) were recruited …
X Zheng, H Yu, X Qiu, SY Chair, EML Wong… - International journal of …, 2020 - Elsevier
Background Metabolic syndrome is a cluster of cardio-metabolic risk factors and a major burden for public health due to its increasing prevalence and adverse effects on …