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Robin J. Mermelstein
Researcher at University of Illinois at Chicago
Publications - 223
Citations - 37478
Robin J. Mermelstein is an academic researcher from University of Illinois at Chicago. The author has contributed to research in topics: Smoking cessation & Abstinence. The author has an hindex of 54, co-authored 209 publications receiving 31642 citations. Previous affiliations of Robin J. Mermelstein include University of Wisconsin-Madison & University of Oregon.
Papers
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Journal ArticleDOI
A global measure of perceived stress.
TL;DR: The Perceived Stress Scale showed adequate reliability and, as predicted, was correlated with life-event scores, depressive and physical symptomatology, utilization of health services, social anxiety, and smoking-reduction maintenance and was a better predictor of the outcome in question than were life- event scores.
Book ChapterDOI
Measuring the Functional Components of Social Support
TL;DR: The role of social support in protecting people from the pathogenic effects of stress has been investigated in the literature as mentioned in this paper, however, it is difficult to compare studies and to determine why support operates as a stress buffer in some cases, but not in others.
Journal ArticleDOI
Health behavior models in the age of mobile interventions: are our theories up to the task?
William T. Riley,Daniel E. Rivera,Audie A. Atienza,Wendy Nilsen,Susannah Allison,Robin J. Mermelstein +5 more
TL;DR: Current theories appear inadequate to inform mobile intervention development as these interventions become more interactive and adaptive, and Dynamic feedback system theories of health behavior can be developed utilizing longitudinal data from mobile devices and control systems engineering models.
Journal ArticleDOI
A Practical Guide to Calculating Cohen’s f2, a Measure of Local Effect Size, from PROC MIXED
TL;DR: This tutorial is designed to facilitate the calculation and reporting of effect sizes for single variables within mixed-effects multiple regression models, and is relevant for analyses of repeated-measures or hierarchical/multilevel data that are common in experimental psychology, observational research, and clinical or intervention studies.
Journal ArticleDOI
Sex differences in adolescent depression: stress exposure and reactivity models.
TL;DR: Sex differences in depression were partially explained by girls reporting more stressors, especially peer events, and the longitudinal direction of effects between depression and stressors varied depending on the stressor domain.