M
Mitch J. Duncan
Researcher at University of Newcastle
Publications - 244
Citations - 8870
Mitch J. Duncan is an academic researcher from University of Newcastle. The author has contributed to research in topics: Psychological intervention & Randomized controlled trial. The author has an hindex of 40, co-authored 216 publications receiving 6894 citations. Previous affiliations of Mitch J. Duncan include Central Queensland University & University of Technology, Sydney.
Papers
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Journal ArticleDOI
A meta-meta-analysis of the effect of physical activity on depression and anxiety in non-clinical adult populations
Amanda L. Rebar,Robert Stanton,David Geard,Camille E. Short,Mitch J. Duncan,Corneel Vandelanotte +5 more
TL;DR: The findings of this meta-meta-analysis represent a comprehensive body of high-quality evidence that physical activity reduces depression and anxiety in non-clinical populations.
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Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: a systematic review.
Stephanie Schoeppe,Stephanie Alley,Wendy Van Lippevelde,Nicola Bray,Susan L. Williams,Mitch J. Duncan,Corneel Vandelanotte +6 more
TL;DR: In this paper, a systematic review examined the efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour in children and adults in a randomized controlled trial and found that multi-component interventions appear to be more effective than stand-alone app interventions.
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Effects of high-intensity interval training on cardiometabolic health: a systematic review and meta-analysis of intervention studies
TL;DR: Current evidence suggests that ST-HIIT and LT- HIIT can increase VO2 max and improve some cardiometabolic risk factors in overweight/obese populations, and indicates that HIIT demonstrated no effect on insulin, lipid profile, C reactive protein or interleukin 6 in obese populations.
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Perceived environment and physical activity: a meta-analysis of selected environmental characteristics
TL;DR: Results of the meta-analysis support the relevance of perceived environmental characteristics for understanding population PA and should encourage the use of comprehensive ecological models that incorporate variables beyond basic demographic information.
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Diabetes Self-Management Smartphone Application for Adults With Type 1 Diabetes: Randomized Controlled Trial
TL;DR: In adjunct to usual care, the use of a diabetes-related smartphone application combined with weekly text-message support from a health care professional can significantly improve glycemic control in adults with type 1 diabetes.