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Marcia A. Ciol

Researcher at University of Washington

Publications -  182
Citations -  19781

Marcia A. Ciol is an academic researcher from University of Washington. The author has contributed to research in topics: Randomized controlled trial & Health care. The author has an hindex of 43, co-authored 168 publications receiving 18187 citations. Previous affiliations of Marcia A. Ciol include Boston Children's Hospital & Veterans Health Administration.

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Pain-related beliefs, cognitive processes, and electroencephalography band power as predictors and mediators of the effects of psychological chronic pain interventions.

TL;DR: This paper used data from a clinical trial to identify variables that are associated with and/or mediate the beneficial effects of four psychological chronic pain treatments: self-hypnosis to reduce pain intensity, hypnotic cognitive therapy (HYP-CT), cognitive restructuring skills to change thoughts about pain (cognitive therapy [CT]), and education about pain, included as an active control condition.
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Quadriceps femoris performance after resistance training with and without photobiomodulation in elderly women: a randomized clinical trial.

TL;DR: Quadriceps Femoris performance of older women was not improved when photobiomodulation was associated to the proposed quadriceps femoris resistance training, when compared to training without photobiOModulation and a sedentary group.
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Effects of Hypnosis vs Mindfulness Meditation vs Education on Chronic Pain Intensity and Secondary Outcomes in Veterans: A Randomized Clinical Trial.

TL;DR: In this article , the effectiveness of training in hypnosis (HYP) and mindfulness meditation (MM) to an active education control (ED) was compared, and the results indicated that all three interventions provided posttreatment benefits on a range of outcomes, but the benefits of HYP and MM continue beyond the end of treatment, while the improvements associated with ED dissipate over time.
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Predictive Validity of the Brazilian Portuguese Version of the Family Questionnaire for Relapse in Patients With Schizophrenia.

TL;DR: The FQ-BPV did not predict relapse well and the model was not sufficiently robust to classify individuals correctly into relapse or no relapse categories and cannot be recommended for that purpose in Brazil without further studies.