folder

Association of a lifestyle risk index with visceral and subcutaneous adipose tissue in the German National Cohort (NAKO)

Authors

  • Gertraud Maskarinec
  • Rebecca Klapp
  • Ute Nöthlings
  • Matthias B. Schulze
  • Fabian Bamberg
  • Jürgen Machann
  • Sabrina Schlesinger
  • Michael Leitzmann
  • Anja Sedlmeier
  • Patricia Bohmann
  • Susanne Rospleszcz
  • Johanna Nattenmüller
  • Tobias Haueise
  • Karen Steindorf
  • Thoralf Niendorf
  • Christopher L. Schlett
  • Karin Halina Greiser
  • Leo Panreck
  • Jakob Linseisen
  • Christina-Alexandra Conzen
  • Sylvia Gastell
  • Tamara Schikowski
  • Henry Völzke
  • Robin Bülow
  • Annette Peters
  • Fiona Niedermayer
  • Rudolf Kaaks
  • Heiko Becher
  • André Karch
  • Klaus Berger
  • Thomas Keil
  • Lilian Krist
  • Michael Hoffmeister
  • Ute Mons
  • Boerge Schmidt
  • Andreas Stang
  • Rafael Mikolajczyk
  • Alexander Kluttig
  • Wolfgang Lieb
  • Cara Övermöhle
  • Antje Hebestreit
  • Kathrin Günther
  • Volker Harth
  • Nadia Obi
  • Stefanie Castell
  • Robyn Kettlitz
  • Katharina Nimptsch
  • Tobias Pischon

Journal

  • Obesity

Citation

  • Obesity

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.


DOI

doi:10.1002/oby.70071