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The demanding working and training conditions of psychotherapists in training (PiA) are discussed more and more frequently from social and research perspectives. The complementary focus on job and training pressure and its consequences have received little attention so far.
The nationwide survey (N = 464) contains information on essential person-related and training-related risk factors and resources. Moreover, the study provides comparisons concerning different professional categories with high psychological and social demands as well as with the training conditions of psychotherapists in 2009.
The study shows the difficulties and demanding situation of financing the training. The PiAs showed significantly higher stress levels than other groups of persons and comparably low resilience combined with a high working engagement. Only a few PiAs had a healthy behavioral and perceptional work pattern.
The results underline the necessity for an examination of the training and working conditions of PiAs. Accordingly, options for interventions are presented.
Method: Following a known-group differences validation strategy, the doping attitudes of 43 athletes from bodybuilding (representative for a highly doping prone sport) and handball (as a contrast group) were compared using the picture-based doping-BIAT. The Performance Enhancement Attitude Scale (PEAS) was employed as a corresponding direct measure in order to additionally validate the results.
Results: As expected, in the group of bodybuilders, indirectly measured doping attitudes as tested with the picture-based doping-BIAT were significantly less negative (eta(2) = .11). The doping-BIAT and PEAS scores correlated significantly at r = .50 for bodybuilders, and not significantly at r = .36 for handball players. There was a low error rate (7%) and a satisfactory internal consistency (r(dagger dagger) = .66) for the picture-based doping-BIAT.
Conclusions: The picture-based doping-BIAT constitutes a psychometrically tested method, ready to be adopted by the international research community. The test can be administered via the internet. All test material is available "open source". The test might be implemented, for example, as a new effect-measure in the evaluation of prevention programs.