Lucy K. Lewis

TL;DR: There is very modest evidence that interventions incorporating online social networks may be effective; however, this field of research is in its infancy and further research is needed to determine how to maximize retention and engagement, whether behavior change can be sustained in the longer term, and how to exploit online social Networks to achieve mass dissemination.

TL;DR: The compositional data analysis presented overcomes the lack of adjustment that has plagued traditional statistical methods in the field, and provides robust and reliable insights into the health effects of daily activity behaviours.

TL;DR: In this article, a systematic review was undertaken to identify papers that explicitly reported descriptive results for at least one of nine Eurofit tests (measuring balance, muscular strength, muscular endurance, muscular power, flexibility, speed, speed-agility and cardiorespiratory fitness) on children and adolescents.

TL;DR: A way of applying compositional data analysis to estimate change in a health outcome when fixed durations of time are reallocated from one part of a particular time-use composition to another, while the remaining parts are kept constant, based on a multiple linear regression model on isometric log ratio coordinates is presented.

TL;DR: The final GREET checklist comprises 17 items which are recommended for reporting EBP educational interventions, incorporating psychometric testing to determine inter-rater reliability and criterion validity.