@article{StroehleBendauAugustinetal.2022, author = {Str{\"o}hle, Andreas and Bendau, Antonia and Augustin, Noah and Esch, Anna Dania and Große, Julia and Kaminski, Jan and Petzold, Moritz Bruno and Plag, Jens and Schmidt, Maike and Sch{\"u}tte, Martina and Strehle, Nicola and Wendt, Nora}, title = {Sportpsychiatrie und -psychotherapie}, series = {Der Nervenarzt : Organ der Deutschen Gesellschaft f{\"u}r Psychiatrie, Psychotherapie und Nervenheilkunde ; Mitteilungsblatt der Deutschen Gesellschaft f{\"u}r Neurologie}, volume = {93}, journal = {Der Nervenarzt : Organ der Deutschen Gesellschaft f{\"u}r Psychiatrie, Psychotherapie und Nervenheilkunde ; Mitteilungsblatt der Deutschen Gesellschaft f{\"u}r Neurologie}, number = {7}, publisher = {Springer}, address = {New York}, organization = {Arbeitsgrp Sportpsychiat Psychothe}, issn = {0028-2804}, doi = {10.1007/s00115-022-01342-x}, pages = {742 -- 753}, year = {2022}, abstract = {Sports psychiatry and psychotherapy is a relatively young field and is comprised of two key segments: the special features of the diagnostics and therapy of mental disorders in elite athletes and the use of exercise and sports in the development and treatment of mental disorders. Although all mental disorders can in principle also occur in (elite) athletes, there are additionally sport-specific mental disorders, such as anorexia athletica and other eating disorders, chronic traumatic encephalopathy, misuse of and dependency on performance-enhancing substances (doping) and muscle dysmorphia. Many high-quality clinical trials over the past two decades have been able to demonstrate a therapeutic efficacy of physical activity and sport in the treatment of various mental disorders. All clinicians active in psychiatry and psychotherapy should possess a basic knowledge of sports psychiatry.}, language = {de} } @misc{CarlsohnScharhagRosenbergerCasseletal.2017, author = {Carlsohn, Anja and Scharhag-Rosenberger, Friederike and Cassel, Michael and Mayer, Frank}, title = {Resting Metabolic Rate in Elite Rowers and Canoeists: Difference between Indirect Calorimetry and Prediction}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-399837}, pages = {6}, year = {2017}, abstract = {Background: Athletes may differ in their resting metabolic rate (RMR) from the general population. However, to estimate the RMR in athletes, prediction equations that have not been validated in athletes are often used. The purpose of this study was therefore to verify the applicability of commonly used RMR predictions for use in athletes. Methods: The RMR was measured by indirect calorimetry in 17 highly trained rowers and canoeists of the German national teams (BMI 24 ± 2 kg/m2, fat-free mass 69 ± 15 kg). In addition, the RMR was predicted using Cunningham (CUN) and Harris-Benedict (HB) equations. A two-way repeated measures ANOVA was calculated to test for differences between predicted and measured RMR (α = 0.05). The root mean square percentage error (RMSPE) was calculated and the Bland-Altman procedure was used to quantify the bias for each prediction. Results: Prediction equations significantly underestimated the RMR in males (p < 0.001). The RMSPE was calculated to be 18.4\% (CUN) and 20.9\% (HB) in the entire group. The bias was 133 kcal/24 h for CUN and 202 kcal/24 h for HB. Conclusions: Predictions significantly underestimate the RMR in male heavyweight endurance athletes but not in females. In athletes with a high fat-free mass, prediction equations might therefore not be applicable to estimate energy requirements. Instead, measurement of the resting energy expenditure or specific prediction equations might be needed for the individual heavyweight athlete.}, language = {en} } @article{CarlsohnScharhagRosenbergerCasseletal.2011, author = {Carlsohn, Anja and Scharhag-Rosenberger, Friederike and Cassel, Michael and Mayer, Frank}, title = {Resting metabolic rate in elite rowers and canoeists difference between indirect calorimetry and prediction}, series = {Annals of nutrition \& metabolism : journal of nutrition, metabolic diseases and dietetics ; an official journal of International Union of Nutritional Sciences (IUNS)}, volume = {58}, journal = {Annals of nutrition \& metabolism : journal of nutrition, metabolic diseases and dietetics ; an official journal of International Union of Nutritional Sciences (IUNS)}, number = {3}, publisher = {Karger}, address = {Basel}, issn = {0250-6807}, doi = {10.1159/000330119}, pages = {239 -- 244}, year = {2011}, abstract = {Background: Athletes may differ in their resting metabolic rate (RMR) from the general population. However, to estimate the RMR in athletes, prediction equations that have not been validated in athletes are often used. The purpose of this study was therefore to verify the applicability of commonly used RMR predictions for use in athletes. Methods: The RMR was measured by indirect calorimetry in 17 highly trained rowers and canoeists of the German national teams (BMI 24 +/- 2 kg/m(2), fat-free mass 69 +/- 15 kg). In addition, the RMR was predicted using Cunningham (CUN) and Harris-Benedict (HB) equations. A two-way repeated measures ANOVA was calculated to test for differences between predicted and measured RMR (alpha = 0.05). The root mean square percentage error (RMSPE) was calculated and the Bland-Altman procedure was used to quantify the bias for each prediction. Results: Prediction equations significantly underestimated the RMR in males (p < 0.001). The RMSPE was calculated to be 18.4\% (CUN) and 20.9\% (HB) in the entire group. The bias was 133 kcal/24 h for CUN and 202 kcal/24 h for HB. Conclusions: Predictions significantly underestimate the RMR in male heavyweight endurance athletes but not in females. In athletes with a high fat-free mass, prediction equations might therefore not be applicable to estimate energy requirements. Instead, measurement of the resting energy expenditure or specific prediction equations might be needed for the individual heavyweight athlete.}, language = {en} }