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3. Association of body shape phenotypes and body fat distribution indexes with inflammatory biomarkers in the European Prospective Investigation into Cancer and Nutrition (EPIC) and UK Biobank

Author

González-Gil, Esther M., Peruchet-Noray, Laia, Sedlmeier, Anja M., Christakoudi, Sofia, Biessy, Carine, Navionis, Anne-Sophie, Mahamat-Saleh, Yahya, Jaafar, Rola F., Baurecht, Hansjörg, Guevara, Marcela, Etxezarreta, Pilar Amiano, Verschuren, W. M. Monique, Boer, Jolanda M. A., Olsen, Anja, Tjønneland, Anne, Simeon, Vittorio, Castro-Espin, Carlota, Aune, Dagfinn, Heath, Alicia K., Gunter, Marc, Colorado-Yohar, Sandra M., Zilhão, Nuno R., Dahm, Christina C., Llanaj, Erand, Schulze, Matthias B., Petrova, Dafina, Sieri, Sabina, Ricceri, Fulvio, Masala, Giovanna, Key, Tim, Viallon, Vivian, Rinaldi, Sabina, Freisling, Heinz, and Dossus, Laure

Published
2024
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4. Large-scale assessment of physical activity in a population using high-resolution hip-worn accelerometry: the German National Cohort (NAKO)

Author

Weber, Andrea, van Hees, Vincent T., Stein, Michael J., Gastell, Sylvia, Steindorf, Karen, Herbolsheimer, Florian, Ostrzinski, Stefan, Pischon, Tobias, Brandes, Mirko, Krist, Lilian, Marschollek, Michael, Greiser, Karin Halina, Nimptsch, Katharina, Brandes, Berit, Jochem, Carmen, Sedlmeier, Anja M., Berger, Klaus, Brenner, Hermann, Buck, Christoph, Castell, Stefanie, Dörr, Marcus, Emmel, Carina, Fischer, Beate, Flexeder, Claudia, Harth, Volker, Hebestreit, Antje, Heise, Jana-Kristin, Holleczek, Bernd, Keil, Thomas, Koch-Gallenkamp, Lena, Lieb, Wolfgang, Meinke-Franze, Claudia, Michels, Karin B., Mikolajczyk, Rafael, Kluttig, Alexander, Obi, Nadia, Peters, Annette, Schmidt, Börge, Schipf, Sabine, Schulze, Matthias B., Teismann, Henning, Waniek, Sabina, Willich, Stefan N., Leitzmann, Michael F., and Baurecht, Hansjörg

Published
2024
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5. The WERA cancer center matrix: Strategic management of patient access to precision oncology in a large and mostly rural area of Germany

Author

Krebs, Markus, Haller, Florian, Spörl, Silvia, Gerhard-Hartmann, Elena, Utpatel, Kirsten, Maurus, Katja, Kunzmann, Volker, Chatterjee, Manik, Venkataramani, Vivek, Maatouk, Imad, Bittrich, Max, Einwag, Tatjana, Meidenbauer, Norbert, Tögel, Lars, Hirsch, Daniela, Dietmaier, Wolfgang, Keil, Felix, Scheiter, Alexander, Immel, Alexander, Heudobler, Daniel, Einhell, Sabine, Kaiser, Ulrich, Sedlmeier, Anja M., Maurer, Julia, Schenkirsch, Gerhard, Jordan, Frank, Schmutz, Maximilian, Dintner, Sebastian, Rosenwald, Andreas, Hartmann, Arndt, Evert, Matthias, Märkl, Bruno, Bargou, Ralf, Mackensen, Andreas, Beckmann, Matthias W., Pukrop, Tobias, Herr, Wolfgang, Einsele, Hermann, Trepel, Martin, Goebeler, Maria-Elisabeth, Claus, Rainer, Kerscher, Alexander, and Lüke, Florian

Published
2024
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7. Body shape phenotypes of multiple anthropometric traits and cancer risk: a multi-national cohort study

Author

Sedlmeier, Anja M., Viallon, Vivian, Ferrari, Pietro, Peruchet-Noray, Laia, Fontvieille, Emma, Amadou, Amina, Seyed Khoei, Nazlisadat, Weber, Andrea, Baurecht, Hansjörg, Heath, Alicia K., Tsilidis, Kostas, Kaaks, Rudolf, Katzke, Verena, Inan-Eroglu, Elif, Schulze, Matthias B., Overvad, Kim, Bonet, Catalina, Ubago-Guisado, Esther, Chirlaque, María-Dolores, Ardanaz, Eva, Perez-Cornago, Aurora, Pala, Valeria, Tumino, Rosario, Sacerdote, Carlotta, Pasanisi, Fabrizio, Borch, Kristin B., Rylander, Charlotta, Weiderpass, Elisabete, Gunter, Marc J., Fervers, Béatrice, Leitzmann, Michael F., and Freisling, Heinz

Published
2023
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8. Framework and baseline examination of the German National Cohort (NAKO)

Author

Peters, Annette, Peters, Annette, Greiser, Karin Halina, Göttlicher, Susanne, Ahrens, Wolfgang, Albrecht, Maren, Bamberg, Fabian, Bärnighausen, Till, Becher, Heiko, Berger, Klaus, Beule, Achim, Boeing, Heiner, Bohn, Barbara, Bohnert, Kerstin, Braun, Bettina, Brenner, Hermann, Bülow, Robin, Castell, Stefanie, Damms-Machado, Antje, Dörr, Marcus, Ebert, Nina, Ecker, Margit, Emmel, Carina, Fischer, Beate, Franzke, Claus-Werner, Gastell, Sylvia, Giani, Guido, Günther, Matthias, Günther, Kathrin, Günther, Klaus-Peter, Haerting, Johannes, Haug, Ulrike, Heid, Iris M., Heier, Margit, Heinemeyer, Diana, Hendel, Thomas, Herbolsheimer, Florian, Hirsch, Jochen, Hoffmann, Wolfgang, Holleczek, Bernd, Hölling, Heike, Hörlein, Andreas, Jöckel, Karl-Heinz, Kaaks, Rudolf, Karch, André, Karrasch, Stefan, Kartschmit, Nadja, Kauczor, Hans-Ulrich, Keil, Thomas, Kemmling, Yvonne, Klee, Bianca, Klüppelholz, Birgit, Kluttig, Alexander, Kofink, Lisa, Köttgen, Anna, Kraft, Daniel, Krause, Gérard, Kretz, Lisa, Krist, Lilian, Kühnisch, Jan, Kuß, Oliver, Legath, Nicole, Lehnich, Anna-Therese, Leitzmann, Michael, Lieb, Wolfgang, Linseisen, Jakob, Loeffler, Markus, Macdonald, Anke, Maier-Hein, Klaus H., Mangold, Nina, Meinke-Franze, Claudia, Meisinger, Christa, Melzer, Juliane, Mergarten, Björn, Michels, Karin B., Mikolajczyk, Rafael, Moebus, Susanne, Mueller, Ulrich, Nauck, Matthias, Niendorf, Thoralf, Nikolaou, Konstantin, Obi, Nadia, Ostrzinski, Stefan, Panreck, Leo, Pigeot, Iris, Pischon, Tobias, Pschibul-Thamm, Irene, Rathmann, Wolfgang, Reineke, Achim, Roloff, Stefanie, Rujescu, Dan, Rupf, Stefan, Sander, Oliver, Schikowski, Tamara, Schipf, Sabine, Schirmacher, Peter, Schlett, Christopher L., Schmidt, Börge, Schmidt, Georg, Schmidt, Martin, Schöne, Gina, Schulz, Holger, Schulze, Matthias B., Schweig, Alexandra, Sedlmeier, Anja M., Selder, Sonja, Six-Merker, Julia, Sowade, Ramona, Stang, Andreas, Stegle, Oliver, Steindorf, Karen, Stübs, Gunthard, Swart, Enno, Teismann, Henning, Thiele, Inke, Thierry, Sigrid, Ueffing, Marius, Völzke, Henry, Waniek, Sabina, Weber, Andrea, Werner, Nicole, Wichmann, H.-Erich, Willich, Stefan N., Wirkner, Kerstin, Wolf, Kathrin, Wolff, Robert, Zeeb, Hajo, Zinkhan, Melanie, and Zschocke, Johannes

Published
2022
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10. The WERA Cancer Center Matrix: Strategic Management of Patient Access to Precision Oncology in a Large and Mostly Rural Area of Germany

Author

Krebs, Markus, primary, Haller, Florian, additional, Spoerl, Silvia, additional, Gerhard-Hartmann, Elena, additional, Utpatel, Kirsten, additional, Maurus, Katja, additional, Kunzmann, Volker, additional, Chatterjee, Manik, additional, Venkataramani, Vivek, additional, Maatouk, Imad, additional, Bittrich, Max, additional, Einwag, Tatjana, additional, Meidenbauer, Norbert, additional, Toegel, Lars, additional, Hirsch, Daniela, additional, Dietmaier, Wolfgang, additional, Keil, Felix, additional, Scheiter, Alexander, additional, Immel, Alexander, additional, Heudobler, Daniel, additional, Einhell, Sabine, additional, Kaiser, Ulrich, additional, Sedlmeier, Anja M., additional, Maurer, Julia, additional, Schenkirsch, Gerhard, additional, Jordan, Frank, additional, Schmutz, Maximilian, additional, Dintner, Sebastian, additional, Rosenwald, Andreas, additional, Hartmann, Arndt, additional, Evert, Matthias, additional, Maerkl, Bruno, additional, Bargou, Ralf, additional, Mackensen, Andreas, additional, Beckmann, Matthias W., additional, Pukrop, Tobias, additional, Herr, Wolfgang, additional, Einsele, Hermann, additional, Trepel, Martin, additional, Goebeler, Maria-Elisabeth, additional, Claus, Rainer, additional, Kerscher, Alexander, additional, and Lueke, Florian, additional

Published
2024
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14. Sustainable diets and risk of overweight and obesity: A systematic review and meta‐analysis.

Author

Reger, Christoph, Leitzmann, Michael F., Rohrmann, Sabine, Kühn, Tilman, Sedlmeier, Anja M., and Jochem, Carmen

Subjects
OBESITY, DIET, CLIMATE change, PUBLICATION bias
Abstract

Summary: Sustainable diets are gaining interest as a possible approach to tackle climate change and the global extent of obesity. Yet, the association between sustainable diets and adiposity remains unclear. We performed a systematic review and meta‐analysis, calculating summary relative risks and 95% confidence intervals (CI). We pooled maximally adjusted risk estimates, assessed heterogeneity and publication bias, calculated the E‐value, and evaluated the risk of bias across the included studies. A total of eight studies were eligible for analysis. Comparing the highest versus the lowest levels of adherence to sustainable diets, the pooled effect estimate was 0.69 (95% CI = 0.62–0.76) for overweight and 0.61 (95% CI = 0.47–0.78) for obesity. These results suggest that sustainable diets may decrease the risk of overweight/obesity and therefore could serve as enablers for improving both public and planetary health. An agreed‐upon clear definition of sustainable diets would enhance the comparability of future studies in this area. [ABSTRACT FROM AUTHOR]

Published
2024
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15. Multi-trait body shape phenotypes and breast cancer risk in postmenopausal women: a causal mediation analysis in the UK Biobank cohort

Author

Amadou, Amina, primary, Freisling, Heinz, additional, Sedlmeier, Anja M., additional, Bohmann, Patricia, additional, Fontvieille, Emma, additional, Weber, Andrea, additional, Konzok, Julian, additional, Stein, Michael J, additional, Peruchet-Noray, Laia, additional, Jansana, Anna, additional, Noh, Hwayoung, additional, His, Mathilde, additional, Gan, Quan, additional, Baurecht, Hansjörg, additional, and Fervers, Béatrice, additional

Published
2024
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16. Anthropometrische Messungen in der NAKO Gesundheitsstudie – mehr als nur Größe und Gewicht

Author

Fischer, Beate, Sedlmeier, Anja M., Hartwig, Saskia, Schlett, Christopher L., Ahrens, Wolfgang, Bamberg, Fabian, Baurecht, Hansjörg, Becher, Heiko, Berger, Klaus, Binder, Hans, Bohn, Barbara, Carr, Prudence R., Castell, Stefanie, Franzke, Claus-Werner, Fricke, Julia, Gastell, Sylvia, Greiser, Karin Halina, Günther, Kathrin, Jaeschke, Lina, Kaaks, Rudolf, Kemmling, Yvonne, Krist, Lilian, Kuß, Oliver, Legath, Nicole, Lieb, Wolfgang, Linseisen, Jakob, Löffler, Markus, Michels, Karin B., Mikolajczyk, Rafael, Niedermaier, Tobias, Norman, Kristina, Obi, Nadia, Peters, Annette, Pischon, Tobias, Schikowski, Tamara, Schipf, Sabine, Schmidt, Börge, Schulze, Matthias B., Stang, Andreas, Stojicic, Jelena, Tiller, Daniel, Völzke, Henry, Waniek, Sabina, and Leitzmann, Michael F.

Published
2020
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17. Tissue-specific genetic variation suggests distinct molecular pathways between body shape phenotypes and colorectal cancer.

Author

Peruchet-Noray, Laia, Sedlmeier, Anja M., Niki Dimou, Baurecht, Hansjörg, Fervers, Béatrice, Fontvieille, Emma, Konzok, Julian, Tsilidis, Kostas K., Christakoudi, Sofia, Jansana, Anna, Cordova, Reynalda, Bohmann, Patricia, Stein, Michael J., Weber, Andrea, Bézieau, Stéphane, Brenner, Hermann, Chan, Andrew T., Cheng, Iona, Figueiredo, Jane C., and Garcia-Etxebarria, Koldo

Subjects
*COLORECTAL cancer, *GENETIC variation, *GENOME-wide association studies, *WAIST-hip ratio, *PRINCIPAL components analysis, *ADIPOSE tissues
Abstract

It remains unknown whether adiposity subtypes are differentially associated with colorectal cancer (CRC). To move beyond single-trait anthropometric indicators, we derived four multi-trait body shape phenotypes reflecting adiposity subtypes from principal components analysis on body mass index, height, weight, waist-to-hip ratio, and waist and hip circumference. A generally obese (PC1) and a tall, centrally obese (PC3) body shape were both positively associated with CRC risk in observational analyses in 329,828 UK Biobank participants (3728 cases). In genome-wide association studies in 460,198 UK Biobank participants, we identified 3414 genetic variants across four body shapes and Mendelian randomization analyses confirmed positive associations of PC1 and PC3 with CRC risk (52,775 cases/45,940 controls from GECCO/CORECT/CCFR). Brain tissue-specific genetic instruments, mapped to PC1 through enrichment analysis, were responsible for the relationship between PC1 and CRC, while the relationship between PC3 and CRC was predominantly driven by adipose tissue-specific genetic instruments. This study suggests distinct putative causal pathways between adiposity subtypes and CRC. [ABSTRACT FROM AUTHOR]

Published
2024
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25. Association of epidemiological and clinical features with PCR cycle threshold values of SARS-CoV-2 infection: a cross-sectional study

Author

Heudobler, Marlies, primary, Baurecht, Hansjörg, additional, Schmied, Helen, additional, Heudobler, Daniel, additional, Jochem, Carmen, additional, Sedlmeier, Anja M, additional, Weber, Andrea, additional, Bauernfeind, Stilla, additional, Leitzmann, Michael, additional, Salzberger, Bernd, additional, and Lampl, Benedikt M J, additional

Published
2022
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26. Association between circadian physical activity patterns and mortality in the UK Biobank

Author

Stein, Michael J., primary, Baurecht, Hansjörg, additional, Sedlmeier, Anja M., additional, Konzok, Julian, additional, Bohmann, Patricia, additional, Fontvieille, Emma, additional, Peruchet-Noray, Laia, additional, Bowden, Jack, additional, Friedenreich, Christine M., additional, Fervers, Béatrice, additional, Ferrari, Pietro, additional, Gunter, Marc J., additional, Freisling, Heinz, additional, Leitzmann, Michael F., additional, Viallon, Vivian, additional, and Weber, Andrea, additional

Published
2022
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27. Body shape phenotypes of multiple anthropometric traits and cancer risk: a multi-national cohort study

Author

Sedlmeier, Anja M., primary, Viallon, Vivian, additional, Ferrari, Pietro, additional, Peruchet-Noray, Laia, additional, Fontvieille, Emma, additional, Amadou, Amina, additional, Seyed Khoei, Nazlisadat, additional, Weber, Andrea, additional, Baurecht, Hansjörg, additional, Heath, Alicia K., additional, Tsilidis, Kostas, additional, Kaaks, Rudolf, additional, Katzke, Verena, additional, Inan-Eroglu, Elif, additional, Schulze, Matthias B., additional, Overvad, Kim, additional, Bonet, Catalina, additional, Ubago-Guisado, Esther, additional, Chirlaque, María-Dolores, additional, Ardanaz, Eva, additional, Perez-Cornago, Aurora, additional, Pala, Valeria, additional, Tumino, Rosario, additional, Sacerdote, Carlotta, additional, Pasanisi, Fabrizio, additional, Borch, Kristin B., additional, Rylander, Charlotta, additional, Weiderpass, Elisabete, additional, Gunter, Marc J., additional, Fervers, Béatrice, additional, Leitzmann, Michael F., additional, and Freisling, Heinz, additional

Published
2022
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29. Association of epidemiological and clinical features with PCR cycle threshold values of SARS-CoV-2 infection: a cross-sectional study.

Author

Heudobler, Marlies, Baurecht, Hansjörg, Schmied, Helen, Heudobler, Daniel, Jochem, Carmen, Sedlmeier, Anja M, Weber, Andrea, Bauernfeind, Stilla, Leitzmann, Michael, Salzberger, Bernd, and Lampl, Benedikt M J

Subjects
SARS-CoV-2
Abstract

The cycle threshold (Ct) in quantitative real-time reverse-transcriptase polymerase chain reaction (qRT-PCR) is inversely correlated to the amount of viral nucleic acid or viral load and can be regarded as an indicator of infectivity. We examined the association of socio-demographic and clinical characteristics of severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) polymerase chain reaction (PCR) positive cases with PCR cycle threshold (Ct) values at the time of diagnosis. SARS-CoV-2 cases reported between 12 October 2020 and 24 January 2021 in Regensburg were analyzed employing bivariate and multivariable methods. We included 3,029 SARS-CoV-2 cases (31% asymptomatic at diagnosis) and analyzed the association of case characteristics with Ct values in 2,606 cases. Among symptomatic patients, cough (38.0%), rhinitis (32.4%), headache (32.0), and fever/chills (29.9%) were the most frequent complaints. Ct values ≤20 were more frequent in symptomatic cases (20.9% vs. 11.3%), whereas Ct values >30 were more common in asymptomatic cases (32.6% vs. 18.0%). Ct values >20 and ≤30 were most common in symptomatic and asymptomatic cases (48.0% vs 40.7%). We observed lower median Ct values of E and N gene in symptomatic cases. In a random forest model, the total number of symptoms, respiratory symptoms, and age were most strongly associated with low Ct values. In conclusion, certain symptoms and age were associated with lower Ct values. Ct values can be used as a pragmatic approach in estimating infectivity at the first notification of a case and, thus, in guiding containment measures. [ABSTRACT FROM AUTHOR]

Published
2023
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31. Additional file 1 of Bilirubin as an indicator of cardiometabolic health: a cross-sectional analysis in the UK Biobank

Author

Seyed Khoei, Nazlisadat, Wagner, Karl-Heinz, Sedlmeier, Anja M., Gunter, Marc J., Murphy, Neil, and Freisling, Heinz

Abstract

Additional file 1: Table S1A. Principal components (PC) loading matrix (correlations) and explained variances for anthropometric variables in the UK Biobank.Table S1B. Principal components (PC) loading matrix (correlations) and explained variances for lipid variables in the UK Biobank.Figure S1. Mean values of anthropometric data of the top 5% of the study population.Table S2A. Association between bilirubin levels and principal components of anthropometric data and different sensitivity analyses in the UK Biobank.Table S2B. Association between bilirubin levels and principal components of lipid data and different sensitivity analyses in the UK Biobank.

Published
2022
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33. Anthropometric measures in the German National Cohort—more than weight and height

Author

Fischer, B., Fischer, Beate, Sedlmeier, Anja M., Hartwig, Saskia, Schlett, Christopher L., Ahrens, Wolfgang, Bamberg, Fabian, Baurecht, Hansjörg, Becher, Heiko, Berger, Klaus, Binder, Hans, Bohn, Barbara, Carr, Prudence R., Castell, Stefanie, Franzke, Claus Werner, Fricke, Julia, Gastell, Sylvia, Greiser, Karin Halina, Günther, Kathrin, Jaeschke, Lina, Kaaks, Rudolf, Kemmling, Yvonne, Krist, Lilian, Kuß, Oliver, Legath, Nicole, Lieb, Wolfgang, Linseisen, Jakob, Löffler, Markus, Michels, Karin B., Mikolajczyk, Rafael, Niedermaier, Tobias, Norman, Kristina, Obi, Nadia, Peters, Annette, Pischon, Tobias, Schikowski, Tamara, Schipf, Sabine, Schmidt, Börge, Schulze, Matthias B., Stang, Andreas, Stojicic, Jelena, Tiller, Daniel, Völzke, Henry, Waniek, Sabina, Leitzmann, Michael F., and HZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany.

Subjects
3D body scanning, Magnetic resonance imaging, Anthropometry, Sonography of abdominal fat compartments, Population-based cohort
Abstract

High levels of adiposity in the population have a major impact on various diseases, but previous epidemiologic studies have largely been restricted to simple anthropometric measures such as the body mass index (BMI), an imperfect predictor of disease risk. There is a critical need for the use of improved measures of relative weight and body composition in large-scale, population-based research. The current article presents initial descriptive results of body composition and fat distribution based on the midterm baseline dataset of the German National Cohort, which included 101,817 participants who were examined in 18 study centers in Germany between March 2014 and March 2017. The anthropometric measures encompassed body weight, height, waist and hip circumference, bioelectrical impedance analysis (BIA), sonography of abdominal adipose tissue, 3D-body scanning, and magnetic resonance imaging. BMI analyses showed that 46.2% of men and 29.7% of women were overweight and 23.5% of men and 21.2% of women were obese. On average, women in almost all age groups demonstrated more subcutaneous adipose tissue layer thickness than men. The mean values of visceral adipose tissue layer thickness, on the other hand, were higher among men than among women in all age groups and increased continuously across age groups in both sexes. The comprehensive assessment of body composition and fat distribution provides novel future opportunities for detailed epidemiologic analyses of overweight and adiposity in relation to the development of chronic diseases. © 2020, The Author(s).

Published
2020

36. Body shape phenotypes of multiple anthropometric traits and cancer risk: a multi-national cohort study

Author

Anja M. Sedlmeier, Vivian Viallon, Pietro Ferrari, Laia Peruchet-Noray, Emma Fontvieille, Amina Amadou, Nazlisadat Seyed Khoei, Andrea Weber, Hansjörg Baurecht, Alicia K. Heath, Kostas Tsilidis, Rudolf Kaaks, Verena Katzke, Elif Inan-Eroglu, Matthias B. Schulze, Kim Overvad, Catalina Bonet, Esther Ubago-Guisado, María-Dolores Chirlaque, Eva Ardanaz, Aurora Perez-Cornago, Valeria Pala, Rosario Tumino, Carlotta Sacerdote, Fabrizio Pasanisi, Kristin B. Borch, Charlotta Rylander, Elisabete Weiderpass, Marc J. Gunter, Béatrice Fervers, Michael F. Leitzmann, Heinz Freisling, [Sedlmeier, Anja M. M.] Univ Regensburg, Dept Epidemiol & Prevent Med, Regensburg, Germany, [Weber, Andrea] Univ Regensburg, Dept Epidemiol & Prevent Med, Regensburg, Germany, [Baurecht, Hansjoerg] Univ Regensburg, Dept Epidemiol & Prevent Med, Regensburg, Germany, [Leitzmann, Michael F. F.] Univ Regensburg, Dept Epidemiol & Prevent Med, Regensburg, Germany, [Viallon, Vivian] Int Agcy Res Canc IARC, Nutr & Metab Branch, Lyon, France, [Ferrari, Pietro] Int Agcy Res Canc IARC, Nutr & Metab Branch, Lyon, France, [Peruchet-Noray, Laia] Int Agcy Res Canc IARC, Nutr & Metab Branch, Lyon, France, [Fontvieille, Emma] Int Agcy Res Canc IARC, Nutr & Metab Branch, Lyon, France, [Weiderpass, Elisabete] Int Agcy Res Canc IARC, Nutr & Metab Branch, Lyon, France, [Gunter, Marc J. J.] Int Agcy Res Canc IARC, Nutr & Metab Branch, Lyon, France, [Freisling, Heinz] Int Agcy Res Canc IARC, Nutr & Metab Branch, Lyon, France, [Peruchet-Noray, Laia] Univ Barcelona, Fac Med, Dept Clin Sci, Barcelona, Spain, [Amadou, Amina] Ctr Leon Berard, Dept Prevent Canc Environm, Lyon, France, [Fervers, Beatrice] Ctr Leon Berard, Dept Prevent Canc Environm, Lyon, France, [Amadou, Amina] INSERM, UMR1296 Radiat Def, Hlth, Environm, Lyon, France, [Fervers, Beatrice] INSERM, UMR1296 Radiat Def, Hlth, Environm, Lyon, France, [Seyed Khoei, Nazlisadat] Univ Vienna, Fac Life Sci, Dept Nutr Sci, Vienna, Austria, [Heath, Alicia K. K.] Imperial Coll London, Sch Publ Hlth, Dept Epidemiol & Biostat, London, England, [Tsilidis, Kostas] Imperial Coll London, Sch Publ Hlth, Dept Epidemiol & Biostat, London, England, [Tsilidis, Kostas] Univ Ioannina, Dept Hyg & Epidemiol, Sch Med, Ioannina, Greece, [Kaaks, Rudolf] German Canc Res Ctr, Div Canc Epidemiol, Heidelberg, Germany, [Katzke, Verena] German Canc Res Ctr, Div Canc Epidemiol, Heidelberg, Germany, [Inan-Eroglu, Elif] German Inst Human Nutr Potsdam Rehbrucke, Dept Mol Epidemiol, Nuthetal, Germany, [Schulze, Matthias B. B.] German Inst Human Nutr Potsdam Rehbrucke, Dept Mol Epidemiol, Nuthetal, Germany, [Overvad, Kim] Aarhus Univ, Dept Publ Hlth, Aarhus, Denmark, [Bonet, Catalina] Catalan Inst Oncol ICO, Unit Nutr & Canc, Barcelona, Spain, [Bonet, Catalina] Bellvitge Biomed Res Inst IDIBELL, Canc Prevent & Palliat Care Program, Nutr & Canc Grp, Epidemiol,Publ Hlth, Barcelona, Spain, [Ubago-Guisado, Esther] Escuela Andaluza Salud Publ EASP, Granada, Spain, [Ubago-Guisado, Esther] Inst Invest Biosanitaria Ibs GRANADA, Granada, Spain, [Ubago-Guisado, Esther] CIBER Epidemiol & Publ Hlth CIBERESP, Madrid, Spain, [Chirlaque, Maria-Dolores] CIBER Epidemiol & Publ Hlth CIBERESP, Madrid, Spain, [Ardanaz, Eva] CIBER Epidemiol & Publ Hlth CIBERESP, Madrid, Spain, [Chirlaque, Maria-Dolores] Reg Hlth Council, Dept Epidemiol, Murcia, Spain, [Chirlaque, Maria-Dolores] Murcia Univ, IMIB Arrixaca, Murcia, Spain, [Ardanaz, Eva] IdiSNA, Navarra Publ Hlth Inst, Pamplona, Spain, [Perez-Cornago, Aurora] Univ Oxford, Nuffield Dept Populat Hlth, Canc Epidemiol Unit, Oxford, England, [Pala, Valeria] Fdn IRCCS Ist Nazl Tumori, Epidemiol & Prevent Unit, Milan, Italy, [Tumino, Rosario] AIRE ONLUS, Hyblean Assoc Epidemiol Res, Ragusa, Italy, [Sacerdote, Carlotta] Citta Salute & Sci Univ Hosp, Unit Canc Epidemiol, Turin, Italy, [Pasanisi, Fabrizio] Feder II Univ Hosp, Dept Clin Med & Surg, Clin Nutr Unit, Naples, Italy, [Borch, Kristin B. B.] UiT Arctic Univ Norway, Fac Hlth Sci, Dept Commun Med, Tromso, Norway, [Rylander, Charlotta] UiT Arctic Univ Norway, Fac Hlth Sci, Dept Commun Med, Tromso, Norway, French National Cancer Institute (l'Institut National du Cancer), International Agency for Research on Cancer (IARC), Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Danish Cancer Society (Denmark), Ligue Contre le Cancer (France), Institut Gustave Roussy (France), Mutuelle Generale de l'Education Nationale (France), Institut National de la Sante et de la Recherche Medicale (INSERM) (France), German Cancer Aid (Germany), German Cancer Research Center (DKFZ) (Germany), German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE) (Germany), Federal Ministry of Education and Research (BMBF) (Germany), Associazione Italiana per la Ricerca sul Cancro-AIRC-Italy (Italy), Compagnia di San Paolo (Italy), National Research Council (Italy), Dutch Ministry of Public Health, Welfare and Sports (VWS) (The Netherlands), Netherlands Cancer Registry (NKR) (The Netherlands), LK Research Funds (The Netherlands), Dutch Prevention Funds (The Netherlands), Dutch ZON (Zorg Onderzoek Nederland) (The Netherlands), World Cancer Research Fund (WCRF) (The Netherlands), Statistics Netherlands (The Netherlands), Health Research Fund (FIS)-Instituto de Salud Carlos III (ISCIII) (Spain), Regional Government of Andalucia (Spain), Regional Government of Asturias (Spain), Regional Government of Basque Country (Spain), Regional Government of Murcia (Spain), Regional Government of Navarra (Spain), Catalan Institute of Oncology-ICO (Spain), Swedish Cancer Society (Sweden), Swedish Research Council (Sweden), County Council of Skane (Sweden), County Council of Vaesterbotten (Sweden), Cancer Research UK (United Kingdom), and Medical Research Council (United Kingdom)

Subjects
Cancer Research, Oncology, Height, Fat, Physical-activity, Obesity, Esophageal, Adenocarcinoma, Metaanalysis, Weight, Nutrition, Validity
Abstract

Background Classical anthropometric traits may fail to fully represent the relationship of weight, adiposity, and height with cancer risk. We investigated the associations of body shape phenotypes with the risk of overall and site-specific cancers. Methods We derived four distinct body shape phenotypes from principal component (PC) analysis on height, weight, body mass index (BMI), waist (WC) and hip circumferences (HC), and waist-to-hip ratio (WHR). The study included 340,152 men and women from 9 European countries, aged mostly 35–65 years at recruitment (1990–2000) in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Cox proportional hazards regression was used to estimate multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs). Results After a median follow-up of 15.3 years, 47,110 incident cancer cases were recorded. PC1 (overall adiposity) was positively associated with the risk of overall cancer, with a HR per 1 standard deviation (SD) increment equal to 1.07 (95% confidence interval 1.05 to 1.08). Positive associations were observed with 10 cancer types, with HRs (per 1 SD) ranging from 1.36 (1.30–1.42) for endometrial cancer to 1.08 (1.03–1.13) for rectal cancer. PC2 (tall stature with low WHR) was positively associated with the risk of overall cancer (1.03; 1.02–1.04) and five cancer types which were not associated with PC1. PC3 (tall stature with high WHR) was positively associated with the risk of overall cancer (1.04; 1.03–1.05) and 12 cancer types. PC4 (high BMI and weight with low WC and HC) was not associated with overall risk of cancer (1.00; 0.99–1.01). Conclusions In this multi-national study, distinct body shape phenotypes were positively associated with the incidence of 17 different cancers and overall cancer.

Published
2022

37. Differences in Anthropometric Measures Based on Sex, Age, and Health Status.

Author

Stein MJ, Fischer B, Bohmann P, Ahrens W, Berger K, Brenner H, Günther K, Harth V, Heise JK, Karch A, Klett-Tammen CJ, Koch-Gallenkamp L, Krist L, Lieb W, Meinke-Franze C, Michels KB, Mikolajczyk R, Nimptsch K, Obi N, Peters A, Pischon T, Schipf S, Schmidt B, Stang A, Thierry S, Willich SN, Wirkner K, Leitzmann MF, and Sedlmeier AM

Subjects
Humans, Male, Female, Middle Aged, Germany epidemiology, Adult, Body Mass Index, Health Status, Obesity epidemiology, Sex Distribution, Age Distribution, Cardiovascular Diseases epidemiology, Aged, Anthropometry methods
Abstract

Background: Obesity is a worldwide health problem. We conducted detailed analyses of anthropometric measures in a comprehensive, population-based, current cohort in Germany., Methods: In the German National Cohort (NAKO), we analyzed cross-sectional data on body mass index (BMI), waist and hip circumference, subcutaneous (SAT) and visceral adipose tissue (VAT) as measured by ultrasound, and body fat percentage. The data were stratified by sex, age, and self-reported physicians' diagnoses of cardiovascular diseases (CVD), metabolic diseases (MetD), cardiometabolic diseases (CMD), and cancer., Results: Data were available from 204 751 participants (age, 49.9 ± 12.8 years; 50.5% women). Body size measures generally increased with age. Men had a higher BMI, larger waist circumference, and more VAT than women, while women had a larger hip circumference, more SAT, and a higher body fat percentage than men. For example, the mean BMI of participants over age 60 was 28.3 kg/m2 in men and 27.6 kg/m2 in women. CVD, MetD, and CMD were associated with higher anthropometric values, while cancer was not. For example, the mean BMI was 25.3 kg/m2 in healthy women, 29.4 kg/m2 in women with CMD, and 25.4 kg/m2 in women with cancer., Conclusion: Obesity is widespread in Germany, with notable differences between the sexes in anthro - pometric values. Obesity was more common in older participants and those with chronic diseases other than cancer. Elevated values were especially common in multimorbid individuals.

Published
2024
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