A meta-analysis of computer-tailored interventions for health behavior change

TL;DR: Evidence for the metabolic pathways by which the behavior is linked to T2D is reviewed, and especially promising are new technologies, which assist in tracking lifestyle behaviors along with clinical and metabolic outcomes.

TL;DR: This novel just-in-time adaptive intervention delivered an intensive intervention, was well-liked, and was perceived as helpful and useful by socioeconomically disadvantaged adults who were seeking smoking cessation treatment.

TL;DR: This study demonstrates the relevance of usability testing to the design and modification of a smartphone app related to a health promotion website and resulted in an app with much higher usability, which might increase usage and maintenance of health behavior change in the long term.

TL;DR: In this paper, a rank-based data augmentation technique is proposed for estimating the number of missing studies that might exist in a meta-analysis and the effect that these studies might have had on its outcome.

TL;DR: This paper presents a meta-analysis procedure called “Meta-Analysis Interpretation for Meta-Analysis Selecting, Computing and Coding the Effect Size Statistic and its applications to Data Management Analysis Issues and Strategies.

TL;DR: This report hopes this report will generate further thought about ways to improve the quality of reports of meta-analyses of RCTs and that interested readers, reviewers, researchers, and editors will use the QUOROM statement and generate ideas for its improvement.

TL;DR: The Panel recognized that variations in study inclusion criteria sometimes were warranted and made recommendations based on evidence, which occurred with topics such as tobacco dependence treatment in specific populations, tailoring interventions, and cost-effectiveness of Tobacco dependence treatment.