Development of prediction models to estimate activity-related energy expenditure under free-living conditions using accelerometry and its association with cardiometabolic factors
- Alternative title
-
Entwicklung von Prädiktionsmodellen zur Schätzung des aktivitätsabhängigen Energieumsatzes unter Alltagsbedingungen mittels Akzelerometrie und dessen Assoziation mit kardiometabolischen Faktoren
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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Berlin, Technische Universität Berlin, Dissertation, 2020
- Event
-
Veröffentlichung
- (where)
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Berlin
- (who)
-
Technische Universität Berlin
- (when)
-
2021
- Creator
- Contributor
- DOI
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10.14279/depositonce-12329
- Handle
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11303/13546
- URN
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urn:nbn:de:101:1-2021102001595777869360
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:26 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Jeran, Stephanie
- Pischon, Tobias
- Müller-Nordhorn, Jacqueline
- Technische Universität Berlin
Time of origin
- 2021
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Prediction of activity-related energy expenditure under free-living conditions using accelerometer-derived physical activity
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Zur Bedeutung Adipositas assoziierter Biomarker in der Herz-Kreislauf-Epidemiologie
Factors associated with habitual time spent in different physical activity intensities using multiday accelerometry
Application of multiday 24h-accelerometry in epidemiology to study habitual overall physical activity, activity intensity levels, and their determinants
Prediction of activity-related energy expenditure under free-living conditions using accelerometer-derived physical activity
Prediction of activity-related energy expenditure under free-living conditions using accelerometer-derived physical activity
Comment to the article: “Consensus statement on the definition of orthostatic hypertension endorsed by the American Autonomic Society and the Japanese Society of Hypertension” by Jordan and colleagues
Variability and reliability study of overall physical activity and activity intensity levels using 24 h-accelerometry-assessed data
Development and application of new statistical methods for the analysis of multiple phenotypes to investigate genetic associations with cardiometabolic traits
Genetic association analysis based on a joint model of gene expression and blood pressure
Was macht krank, was hält uns gesund?
Das Fundament ist gelegt – für verbesserte Vorbeugung und Früherkennung der großen Volkskrankheiten
The Role of Sedentary Behavior in Cardio-Preventive Research
Zur Bedeutung Adipositas assoziierter Biomarker in der Herz-Kreislauf-Epidemiologie
Factors associated with habitual time spent in different physical activity intensities using multiday accelerometry
Application of multiday 24h-accelerometry in epidemiology to study habitual overall physical activity, activity intensity levels, and their determinants
Prediction of activity-related energy expenditure under free-living conditions using accelerometer-derived physical activity
Prediction of activity-related energy expenditure under free-living conditions using accelerometer-derived physical activity
Comment to the article: “Consensus statement on the definition of orthostatic hypertension endorsed by the American Autonomic Society and the Japanese Society of Hypertension” by Jordan and colleagues
Variability and reliability study of overall physical activity and activity intensity levels using 24 h-accelerometry-assessed data
Development and application of new statistical methods for the analysis of multiple phenotypes to investigate genetic associations with cardiometabolic traits
Genetic association analysis based on a joint model of gene expression and blood pressure
Was macht krank, was hält uns gesund?
Das Fundament ist gelegt – für verbesserte Vorbeugung und Früherkennung der großen Volkskrankheiten