Association of a Lifestyle Risk Index With Visceral and Subcutaneous Adipose Tissue in the German National Cohort (NAKO)

Maskarinec, Gertraud and Klapp, Rebecca and Nothlings, Ute and Schulze, Matthias B. and Bamberg, Fabian and Machann, Jurgen and Schlesinger, Sabrina and Leitzmann, Michael and Sedlmeier, Anja M. and Bohmann, Patricia and Rospleszcz, Susanne and Nattenmuller, Johanna and Haueise, Tobias and Steindorf, Karen and Niendorf, Thoralf and Schlett, Christopher L. and Greiser, Karin Halina and Panreck, Leo and Linseisen, Jakob and Conzen, Christina-alexandra and Gastell, Sylvia and Schikowski, Tamara and Volzke, Henry and Bulow, Robin and Peters, Annette and Niedermayer, Fiona and Kaaks, Rudolf and Becher, Heiko and Karch, Andre and Berger, Klaus and Keil, Thomas and Krist, Lilian and Hoffmeister, Michael and Mons, Ute and Schmidt, Boerge and Stang, Andreas and Mikolajczyk, Rafael and Kluttig, Alexander and Lieb, Wolfgang and Overmohle, Cara and Hebestreit, Antje and Gunther, Kathrin and Harth, Volker and Obi, Nadia and Castell, Stefanie and Kettlitz, Robyn and Nimptsch, Katharina and Pischon, Tobias (2026) Association of a Lifestyle Risk Index With Visceral and Subcutaneous Adipose Tissue in the German National Cohort (NAKO). OBESITY, 34 (1). pp. 246-257. ISSN 1930-7381, 1930-739X

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Abstract

Objective: This cross-sectional study examined a Lifestyle Risk Factor Index (LSRI) in relation to adiposity measures including visceral adipose tissue (VAT) in the German National Cohort (NAKO). Methods: Based on self-reports at baseline among 30,920 of > 205,000 NAKO eligible participants with magnetic resonance imaging (MRI) scans, one point each for not smoking, adhering to >= 3/7 diet recommendations, consuming <= 1 (women)/<= 2 (men) alcoholic drinks/day, and >= 150 min/week physical activity was assigned. VAT volume, obtained from whole-body MRI at 3T, was analyzed by deep learning-based image segmentation. General linear models estimated adjusted geometric mean adiposity measures by LSRI and stratified analyses by sex and BMI. Results: Of 18,508 participants aged 48.2 +/- 12.2 years, the respective proportions for 0/1, 2, 3, and 4 LSRI points were 7%, 24%, 51%, and 18%. Participants with LSRI scores of 4 versus 0/1 had lower adjusted geometric mean volumes of VAT (2.3; 95% CI 2.2, 2.3 vs. 3.0; 95% CI 2.9, 3.1 L). These differences were slightly attenuated after adding BMI. This association was weaker for individuals with obesity than normal/overweight. Conclusion: A combination of lifestyle factors appears to be associated with lower VAT volume, but an elevated BMI may have a greater influence on VAT accumulation than lifestyle behaviors alone.

Item Type: Article
Uncontrolled Keywords: BREAST-CANCER RISK; PHYSICAL-ACTIVITY; OBESITY; EXERCISE; SMOKING; DIET; body fat distribution; cohort study; lifestyle behaviors; obesity
Subjects: 600 Technology > 610 Medical sciences Medicine
Divisions: Medicine > Institut für Epidemiologie und Präventivmedizin
Depositing User: Dr. Gernot Deinzer
Date Deposited: 24 Mar 2026 14:40
Last Modified: 24 Mar 2026 14:40
URI: https://pred.uni-regensburg.de/id/eprint/68029

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