gms | German Medical Science

Gesundheit – gemeinsam. Kooperationstagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS), Deutschen Gesellschaft für Sozialmedizin und Prävention (DGSMP), Deutschen Gesellschaft für Epidemiologie (DGEpi), Deutschen Gesellschaft für Medizinische Soziologie (DGMS) und der Deutschen Gesellschaft für Public Health (DGPH)

08.09. - 13.09.2024, Dresden

Different Body Circumferences Assessed by 3D Body Scanner in Relation to Metabolic Health: Results from the NAKO Study

Meeting Abstract

  • Zhouli Su
  • Alexander Kluttig
  • Johannes Horn
  • Frank Bernhard Kraus
  • Rafael Mikolajczyk
  • Ljupcho Efremov

Gesundheit – gemeinsam. Kooperationstagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS), Deutschen Gesellschaft für Sozialmedizin und Prävention (DGSMP), Deutschen Gesellschaft für Epidemiologie (DGEpi), Deutschen Gesellschaft für Medizinische Soziologie (DGMS) und der Deutschen Gesellschaft für Public Health (DGPH). Dresden, 08.-13.09.2024. Düsseldorf: German Medical Science GMS Publishing House; 2024. DocAbstr. 520

doi: 10.3205/24gmds641, urn:nbn:de:0183-24gmds6419

Veröffentlicht: 6. September 2024

© 2024 Su et al.
Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung). Lizenz-Angaben siehe http://creativecommons.org/licenses/by/4.0/.


Gliederung

Text

Aims: The aim of this study was to investigate the association between 7 different body circumferences (waist, neck, mid-upper arm, forearm, hip, thigh, calf) and metabolic health.

Methods: We analyzed cross-sectional data from 5839 adult subjects (50.1% men, 22.8% obese from the German National Cohort (NAKO) study site Halle. Body circumferences were measured with a three-dimensional body scanner. The association between body circumferences and metabolic health parameters was analyzed using linear regression and quantile regression models. The association between body circumferences and metabolic unhealthy risk was analyzed with logistic regression models. Metabolic unhealthy was defined as presenting one or more of the abnormal components (blood pressure, HDL and glucose levels).

Results: A larger waist circumference was associated with an increased risk of being metabolically unhealthy in non-obese men (odds ratio and 95% CI: 2.33 (1.65, 3.31) per one standard deviation. Larger neck circumference was associated with an increased risk of being metabolically unhealthy in non-obese and obese women (odds ratio and 95% CI: 1.78 (1.29, 2.45), 1.96 (1.15, 3.35) per one standard deviation, respectively). Larger forearm circumference was associated with a decreased risk of being metabolically unhealthy in obese men (odds ratio and 95% CI: 1.80 (1.06, 3.04) per one standard deviation). Larger thigh circumference was associated with a decreased risk of being metabolically unhealthy in obese women (odds ratio and 95% CI: 0.47 (0.30, 0.74) per one standard deviation). Larger calf circumference was associated with a decreased risk of being metabolically unhealthy in non-obese men (odds ratio and 95% CI: 0.77 (0.63, 0.94) per one standard deviation). Waist and neck circumferences were positively, while mid-upper arm, hip, thigh and calf circumferences were negatively associated with blood pressure, low HDL and glucose levels.

Conclusion: Our results suggested that the different body circumferences were associated with metabolic abnormalities. Prospective studies are needed to explore if longitudinal changes in body circumferences have the same effect on metabolic health as observed in a cross-sectional analysis.

The authors declare that they have no competing interests.

The authors declare that a positive ethics committee vote has been obtained.