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

Artikel

Artikel empfehlen

Anthropometric markers and their association with incident type 2 diabetes – results from the Study of Health in Pomerania (SHIP) analysis

Meeting Abstract

Suche in Medline nach

  • Saima Bibi - University of Greifswald Institute for Community Medicine SHIP/KEP, University Medicine, Greifswald, Germany
  • Muhammad Naeem - Institute for Community Medicine – Department SHIP/ Clinical-Epidemiological Research, University Medicine Greifswald, Greifswald, Germany; Department of Zoology, University of Malakand, Chakdara Dir Lower, Pakistan
  • Schipf Sabine - Institute for Community Medicine – Department SHIP/ Clinical-Epidemiological Research, University Medicine Greifswald, Greifswald, Germany; German Center for Diabetes Research (DZD) partner site Greifswald, Greifswald, Germany
  • Bahls Martin - Department of Internal Medicine B – Cardiology, Intensive Care, Pulmonary Medicine and Infectious Diseases, University Medicine Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany
  • Marcus Dörr - Department of Internal Medicine B – Cardiology, Intensive Care, Pulmonary Medicine and Infectious Diseases, University Medicine Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany
  • Nele Friedrich - German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany; Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
  • Matthias Nauck - Institute for Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), partner site Greifswald, greifswald, Germany
  • Robin Bülow - Institute for Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
  • Wolfgang Lieb - Institute of Epidemiology, Christian-Albrechts-University Kiel, Kiel, Germany
  • Henry Völzke - Institut für Community Medicine, Abteilung Study of Health in Pomerania – Klinisch-epidemiologische Forschung (SHIP-KEF), Universitätsmedizin Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany
  • Marcello RP Markus - German Center for Diabetes Research (DZD) partner site Greifswald, Greifswald, Germany; Department of Internal Medicine B – Cardiology, Intensive Care, Pulmonary Medicine and Infectious Diseases, University Medicine Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany
  • Till Ittermann - Insitute for Community Medicine / SHIP Clinical-epidemiological research, University Medicine Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany

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. 461

doi: 10.3205/24gmds640, urn:nbn:de:0183-24gmds6407

Veröffentlicht: 6. September 2024

© 2024 Bibi 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

Introduction: Evidence consistently links obesity-related traits with type 2 diabetes (T2D) [1], [2]. However, the contribution of different body composition markers to the development of T2D is unclear. The studies were limited to only some anthropometric marker, small samples sizes and short follow-up periods <1 and 2 year [3], [4]. Therefore, we investigated the associations of body composition markers derived from different entities including bioelectrical impedance analyses (BIA) and magnetic resonance imaging (MRI) with changes in glucose metabolism and with incident T2D.

Method: We used data from 2,333 individuals of the TREND-0 and TREND-1 a population-based study of health in Pomerania (SHIP) with a median follow-up of 7.3 years. The design of the SHIP study has been described previously [5]. Standardized changes in body composition markers were related to changes in fasting glucose, 2-hour post-load glucose, glycated hemoglobin (HbA1c), and estimated glucose disposal rate by linear regressions adjusted for confounder at baseline age, sex, smoking, physical activity, follow-time and mean of the baseline and follow-up outcome values. Associations of body composition markers with incident T2D were investigated by poisson regression models using the same adjustment at baseline and follow-up time.

Results: Waist circumference, waist-to-height ratio, relative body fat, relative fat-free mass, absolute fat-free mass, body cell mass and visceral adipose tissue were strongly associated with incident T2D in both men and women. Similarly, we observed strong positive associations of change in BMI, body weight, waist circumference and hip circumference with continuous markers of glucose metabolism and HbA1c in both men and women . For instance, a one standard deviation higher BMI was associated with a 0.37 mmol/L 95% confidence interval (CI) (0.23 to 0.52) higher 2-hour glucose in men and a 0.24 mmol/L 95% CI (0.12 to 0.35) higher in women respectively. Similarly, one standard deviation higher body weight was associated with 0.34 mmol/L 95% CI (0.21 to 0.47) 2-hour glucose in men and 0.23 mmol/L 95% CI (0.10 to 0.35) in women.

Overall, the associations were more pronounced in men compared to women. Changes in anthropometric markers showed inverse associations with the estimated glucose disposal rate.

Conclusion: Our study indicates the importance of anthropometric, body composition and fat distribution markers as a risk factor for the development of T2D. Our findings indicate that measures against the obesity pandemic has to be introduced to prevent future T2D events.

The authors declare that they have no competing interests.

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

Gliederung

References

1.
Ruze R, Liu T, Zou X, Song J, Chen Y, Xu R, et al. Obesity and type 2 diabetes mellitus: connections in epidemiology, pathogenesis, and treatments. Frontiers in endocrinology. 2023;14:1161521.
2.
He QX, Zhao L, Tong JS, Liang XY, Li RN, Zhang P, et al. The impact of obesity epidemic on type 2 diabetes in children and adolescents: A systematic review and meta-analysis. Primary care diabetes. 2022;16(6):736-44.
3.
Hartwig S, Kluttig A, Tiller D, Fricke J, Müller G, Schipf S, et al. Anthropometric markers and their association with incident type 2 diabetes mellitus: which marker is best for prediction? Pooled analysis of four German population-based cohort studies and comparison with a nationwide cohort study. BMJ open. 2016;6(1):e009266.
4.
Jia Z, Zhou Y, Liu X, Wang Y, Zhao X, Wang Y, et al. Comparison of different anthropometric measures as predictors of diabetes incidence in a Chinese population. Diabetes research and clinical practice. 2011;92(2):265-71.
5.
Völzke H, Schössow J, Schmidt CO, Jürgens C, Richter A, Werner A, et al. Cohort Profile Update: The Study of Health in Pomerania (SHIP). International journal of epidemiology. 2022;51(6):e372-e83.