TY - JOUR A1 - Ströhle, Andreas A1 - Bendau, Antonia A1 - Augustin, Noah A1 - Esch, Anna Dania A1 - Große, Julia A1 - Kaminski, Jan A1 - Petzold, Moritz Bruno A1 - Plag, Jens A1 - Schmidt, Maike A1 - Schütte, Martina A1 - Strehle, Nicola A1 - Wendt, Nora T1 - Sportpsychiatrie und -psychotherapie T1 - Sports psychiatry and psychotherapy JF - Der Nervenarzt : Organ der Deutschen Gesellschaft für Psychiatrie, Psychotherapie und Nervenheilkunde ; Mitteilungsblatt der Deutschen Gesellschaft für Neurologie N2 - 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. N2 - Die Sportpsychiatrie und -psychotherapie ist ein relativ junges Arbeitsgebiet, das sich insbesondere mit zwei Schwerpunkten befasst: zum einen mit den Besonderheiten in Diagnostik und Therapie psychischer Erkrankungen bei Leistungssportler:innen sowie Bewegung und Sport in der Entstehung und Behandlung psychischer Erkrankungen. Während alle psychischen Erkrankungen prinzipiell auch bei (Leistungs‑)Sportler:innen auftreten können, gibt es darüber hinaus sport(art)spezifische psychische Erkrankungen, wie z. B. die Anorexia athletica und andere Essstörungen, die chronisch traumatische Enzephalopathie, Missbrauch und Abhängigkeit von leistungssteigernden Substanzen (Doping) oder die Muskeldysmorphie. In qualitativ hochwertigen klinischen Studien konnte die therapeutische Wirksamkeit von Bewegung und Sport bei verschiedenen psychischen Erkrankungen belegt werden. Ein sportpsychiatrisches Basiswissen sollten alle in Psychiatrie und Psychotherapie klinisch Tätigen besitzen. KW - Physical activity KW - Athletes KW - Elite sports KW - Mental health KW - Mental KW - disorders KW - Körperliche Aktivität KW - Athleten KW - Leistungssport KW - Psychische Gesundheit KW - Psychische Erkrankungen Y1 - 2022 U6 - https://doi.org/10.1007/s00115-022-01342-x SN - 0028-2804 SN - 1433-0407 VL - 93 IS - 7 SP - 742 EP - 753 PB - Springer CY - New York ER - TY - GEN A1 - Carlsohn, Anja A1 - Scharhag-Rosenberger, Friederike A1 - Cassel, Michael A1 - Mayer, Frank T1 - Resting Metabolic Rate in Elite Rowers and Canoeists: Difference between Indirect Calorimetry and Prediction N2 - 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. T3 - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe - 329 KW - Energy requirement KW - Calorimetry KW - Fat-free mass KW - Nutritional counseling KW - Athletes Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-399837 ER - TY - JOUR A1 - Carlsohn, Anja A1 - Scharhag-Rosenberger, Friederike A1 - Cassel, Michael A1 - Mayer, Frank T1 - Resting metabolic rate in elite rowers and canoeists difference between indirect calorimetry and prediction JF - Annals of nutrition & metabolism : journal of nutrition, metabolic diseases and dietetics ; an official journal of International Union of Nutritional Sciences (IUNS) N2 - 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. KW - Energy requirement KW - Calorimetry KW - Fat-free mass KW - Nutritional counseling KW - Athletes Y1 - 2011 U6 - https://doi.org/10.1159/000330119 SN - 0250-6807 VL - 58 IS - 3 SP - 239 EP - 244 PB - Karger CY - Basel ER -