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RETRACTED ARTICLE: WELL.ME - Wellbeing therapy based on real-time personalized mobile architecture, vs. cognitive therapy, to reduce psychological distress and promote healthy lifestyle in…

Overview of attention for article published in Trials, September 2012
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Title
RETRACTED ARTICLE: WELL.ME - Wellbeing therapy based on real-time personalized mobile architecture, vs. cognitive therapy, to reduce psychological distress and promote healthy lifestyle in cardiovascular disease patients: study protocol for a randomized controlled trial
Published in
Trials, September 2012
DOI 10.1186/1745-6215-13-157
Pubmed ID
Authors

Angelo Compare, Vassilis Kouloulias, Vontas Apostolos, Wendy Moreno Peña, Enrico Molinari, Enzo Grossi, Efstathopoulos Efstathios, Michele Carenini

Abstract

There is compelling evidence that psychological factors may have the same or even greater impact on the possibility of adverse events on cardiac diseases (CD) than other traditional clinical risk factors. Anxiety and depression are predictors of short- and long-term adverse outcomes, increased risk for higher rates of in-hospital complications, re-infarction, malignant arrhythmias, and mortality in CD patients. Despite researchers finding that cognitive behavior therapy (CBT) reduced depressive and anxiety symptoms, the fact that such results are maintained only in the short term and the lack of maintenance of the long-term affects the absence of changes in lifestyles, preventing the possibility of a wide generalization of results. Recently wellbeing therapy (WBT) has been proposed as a useful approach to improve healthy lifestyle behaviors and reduce psychological distress.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 <1%
Canada 1 <1%
Unknown 162 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 30 18%
Student > Ph. D. Student 27 16%
Student > Bachelor 26 16%
Researcher 22 13%
Student > Doctoral Student 6 4%
Other 26 16%
Unknown 27 16%
Readers by discipline Count As %
Medicine and Dentistry 50 30%
Psychology 43 26%
Nursing and Health Professions 11 7%
Computer Science 8 5%
Agricultural and Biological Sciences 3 2%
Other 15 9%
Unknown 34 21%