Cite Them Right 11th edition - Harvard

Rospleszcz, S., Burger, T., Shugaa Addin, N., Kiefer, L.S., Diallo, T.D., Wawro, N., Schlett, C.L., Bamberg, F., Peters, A., Gedrich, K. und Linseisen, J. (2025) Association of habitual diet with skeletal muscle composition in a cross-sectional, population-based imaging study [cd]. Freiburg: Universität. doi:10.1186/s12937-025-01222-5.

Chicago Manual of Style 17th edition (full note)

Rospleszcz, Susanne, Theresa Burger, Nuha Shugaa Addin, Lena Sophie Kiefer, Thierno Diawo Diallo, Nina Wawro, Christopher L. Schlett, Fabian Bamberg, Annette Peters, Kurt Gedrich, und Jakob Linseisen. Association of habitual diet with skeletal muscle composition in a cross-sectional, population-based imaging study. Cd. Freiburg: Universität, [2025?], Freiburg: Universität, [2025?]. https://doi.org/10.1186/s12937-025-01222-5.

American Psychological Association 7th edition

Rospleszcz, S., Burger, T., Shugaa Addin, N., Kiefer, L. S., Diallo, T. D., Wawro, N., Schlett, C. L., Bamberg, F., Peters, A., Gedrich, K., & Linseisen, J. (ca. 2025). Association of habitual diet with skeletal muscle composition in a cross-sectional, population-based imaging study [Cd]. Universität. https://doi.org/10.1186/s12937-025-01222-5

Modern Language Association 9th edition

Rospleszcz, S., T. Burger, N. Shugaa Addin, L. S. Kiefer, T. D. Diallo, N. Wawro, C. L. Schlett, F. Bamberg, A. Peters, K. Gedrich, und J. Linseisen. Association of habitual diet with skeletal muscle composition in a cross-sectional, population-based imaging study. cd, Universität, 2025, https://doi.org/10.1186/s12937-025-01222-5.

ISO-690 (author-date, Deutsch)

ROSPLESZCZ, Susanne, Theresa BURGER, Nuha SHUGAA ADDIN, Lena Sophie KIEFER, Thierno Diawo DIALLO, Nina WAWRO, Christopher L. SCHLETT, Fabian BAMBERG, Annette PETERS, Kurt GEDRICH und Jakob LINSEISEN, 2025. Association of habitual diet with skeletal muscle composition in a cross-sectional, population-based imaging study. Freiburg: Universität

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.