Prof. Wolfarth erforscht die Prävention und Behandlung von Erkrankungen durch Sport und Lebensstiländerungen, insbesondere bei älteren Erwachsenen und Patienten mit Herz-Kreislauf-Erkrankungen oder Diabetes. Seine aktuelle Arbeit konzentriert sich auf die wissenschaftliche Evaluation von telemedizin-gestützten Trainings- und Ernährungsinterventionen sowie auf die Früherkennung von Erkrankungen durch standardisierte Vorsorgeuntersuchungen. Für Unternehmen und Krankenkassen bietet er evidenzbasierte Konzepte zur Reduktion von Arbeitsunfähigkeit, zur Optimierung von Rehabilitationsprogrammen und zur Prävention chronischer Erkrankungen. Seine Methoden sind relevant für Rehabilitationskliniken, Versicherungsträger, Betriebliches Gesundheitsmanagement und die Sportmedizin.
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Prof. Dr. Bernd Wolfarth
HU-FIS-Profil ↗Wissenschaftliche Evaluation des multimodalen Therapie- und Nachsorgekonzepts "AdiFit" zur Behandlung von Adipositas in der Rehabilitationsklinik Hohenelse der Deutschen Rentenversicherung Berlin-Brandenburg
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Wissenschaftliche Evaluation des multimodalen Therapie- und Nachsorgekonzepts "AdiFit" zur Behandlung von Adipositas in der Rehabilitationsklinik Hohenelse der Deutschen Rentenversicherung Berlin-Brandenburg
university
Zeitraum: 01/2015 - 07/2016 Projektleitung: Prof. Dr. Bernd Wolfarth
Zeitraum: 05/2018 - 10/2021 Projektleitung: Prof. Dr. Bernd Wolfarth
Förderer: DFG sonstige Programme Zeitraum: 09/2019 - 09/2019 Projektleitung: Prof. Dr. Bernd Wolfarth, Johanna Porst
European Journal of Applied Physiology · DOI
Medicine & Science in Sports & Exercise · DOI
The current review presents the 2005 update of the human gene map for physical performance and health-related fitness phenotypes. It is based on peer-reviewed papers published by the end of 2005. The genes and markers with evidence of association or linkage with a performance or fitness phenotype in sedentary or active people, in adaptation to acute exercise, or for training-induced changes are positioned on the genetic map of all autosomes and the X chromosome. Negative studies are reviewed, but a gene or locus must be supported by at least one positive study before being inserted on the map. By the end of 2000, in the early version of the gene map, 29 loci were depicted. In contrast, the 2005 human gene map for physical performance and health-related phenotypes includes 165 autosomal gene entries and QTL, plus five others on the X chromosome. Moreover, there are 17 mitochondrial genes in which sequence variants have been shown to influence relevant fitness and performance phenotypes. Thus, the map is growing in complexity. Unfortunately, progress is slow in the field of genetics of fitness and performance, primarily because the number of laboratories and scientists focused on the role of genes and sequence variations in exercise-related traits continues to be quite limited.
Medicine & Science in Sports & Exercise · DOI
This update of the human gene map for physical performance and health-related fitness phenotypes covers the research advances reported in 2006 and 2007. The genes and markers with evidence of association or linkage with a performance or a fitness phenotype in sedentary or active people, in responses to acute exercise, or for training-induced adaptations are positioned on the map of all autosomes and sex chromosomes. Negative studies are reviewed, but a gene or a locus must be supported by at least one positive study before being inserted on the map. A brief discussion on the nature of the evidence and on what to look for in assessing human genetic studies of relevance to fitness and performance is offered in the introduction, followed by a review of all studies published in 2006 and 2007. The findings from these new studies are added to the appropriate tables that are designed to serve as the cumulative summary of all publications with positive genetic associations available to date for a given phenotype and study design. The fitness and performance map now includes 214 autosomal gene entries and quantitative trait loci plus seven others on the X chromosome. Moreover, there are 18 mitochondrial genes that have been shown to influence fitness and performance phenotypes. Thus, the map is growing in complexity. Although the map is exhaustive for currently published accounts of genes and exercise associations and linkages, there are undoubtedly many more gene-exercise interaction effects that have not even been considered thus far. Finally, it should be appreciated that most studies reported to date are based on small sample sizes and cannot therefore provide definitive evidence that DNA sequence variants in a given gene are reliably associated with human variation in fitness and performance traits.