M
Matthew M. Clark
Researcher at Brown University
Publications - 56
Citations - 2988
Matthew M. Clark is an academic researcher from Brown University. The author has contributed to research in topics: Weight loss & Cancer. The author has an hindex of 29, co-authored 56 publications receiving 2807 citations. Previous affiliations of Matthew M. Clark include Mayo Clinic & University of Rochester.
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Journal ArticleDOI
Self-efficacy in weight management.
TL;DR: This study developed and validated the Weight Efficacy Life-Style Questionnaire (WEL), improving on previous studies by the use of clinical populations, cross-validation of the initial factor analysis, exploration of the best fitting theoretical model of self-efficacy, and examination of change in treatment.
Journal Article
Preferred roles in treatment decision making among patients with cancer: a pooled analysis of studies using the Control Preferences Scale.
Jasvinder A. Singh,Jeff A. Sloan,Pamela J. Atherton,Tenbroeck Smith,Thomas F. Hack,Mashele Huschka,Teresa A. Rummans,Matthew M. Clark,Brent Diekmann,Lesley F. Degner +9 more
TL;DR: Although most patients with cancer had the decision-making role they preferred, about 40% experienced discordance, highlighting the need for incorporation of individualized patient communication styles into treatment plans.
The benefits of pass-fail grading on stress, mood, and group cohesion in medical students. Commentary
Thomas M. Habermann,Terrence L. Cascino,Daniel E. Rohe,Patricia A. Barrier,Matthew M. Clark,David A. Cook,Kristin S. Vickers,Paul A. Decker +7 more
TL;DR: Pass-fail grading may reduce stress and increase group cohesion in medical students compared with traditional 5-interval grading.
Journal ArticleDOI
Depression, smoking, activity level, and health status: pretreatment predictors of attrition in obesity treatment.
TL;DR: Higher levels of depression, current smoking, being sedentary, and having nontreated high blood pressure were associated with treatment attrition, suggesting a biopsychosocial assessment which evaluates medical and psychiatric status may help clinicians to identify individuals at high risk for attrition.
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Predictors of exercise relapse in a college population.
TL;DR: Findings provide support for applying the transtheoretical model of behavioral change to a college population by identifying factors that predict exercise relapse in a student population.