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Michael A. Babyak

Researcher at Duke University

Publications -  158
Citations -  19173

Michael A. Babyak is an academic researcher from Duke University. The author has contributed to research in topics: Aerobic exercise & Randomized controlled trial. The author has an hindex of 56, co-authored 156 publications receiving 17814 citations. Previous affiliations of Michael A. Babyak include University of North Carolina at Chapel Hill & University of Kansas.

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Development and validation of the State Hope Scale.

TL;DR: The present 4 studies were designed to develop and validate a measure of state hope and offer a brief, internally consistent, and valid self-report measure of ongoing goal-directed thinking that may be useful to researchers and applied professionals.
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What you see may not be what you get: a brief, nontechnical introduction to overfitting in regression-type models.

TL;DR: The notion of overfitting is presented in terms of asking too much from the available data, and three common practices—automated variable selection, pretesting of candidate predictors, and dichotomization of continuous variables—are shown to pose a considerable risk for spurious findings in models.
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Effects of Exercise Training on Older Patients With Major Depression

TL;DR: After 16 weeks of treatment exercise was equally effective in reducing depression among patients with MDD, and an exercise training program may be considered an alternative to antidepressants for treatment of depression in older persons.
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Exercise Treatment for Major Depression: Maintenance of Therapeutic Benefit at 10 Months

TL;DR: Among individuals with MDD, e-ercise therapy is feasible and is associated with significant therapeutic benefit, especially if e- exercise is continued over time.
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Depression as a risk factor for coronary artery disease: evidence, mechanisms, and treatment.

TL;DR: There is substantial evidence for a relationship between depression and adverse clinical outcomes, however, despite the availability of effective therapies for depression, there is a paucity of data to support the efficacy of these interventions to improve clinical outcomes for depressed CAD patients.