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https://hdl.handle.net/10356/173720
Title: | Long-term association of pericardial adipose tissue with incident diabetes and prediabetes: the coronary artery risk development in young adults study | Authors: | Oh, Minsuk Cho, Wonhee Lee, Dong Hoon Whitaker, Kara M. Schreiner, Pamela J. Terry, James G. Kim, Joon Young |
Keywords: | Medicine, Health and Life Sciences | Issue Date: | 2023 | Source: | Oh, M., Cho, W., Lee, D. H., Whitaker, K. M., Schreiner, P. J., Terry, J. G. & Kim, J. Y. (2023). Long-term association of pericardial adipose tissue with incident diabetes and prediabetes: the coronary artery risk development in young adults study. Epidemiology and Health, 45, e2023001-. https://dx.doi.org/10.4178/epih.e2023001 | Journal: | Epidemiology and Health | Abstract: | OBJECTIVES: We examined whether pericardial adipose tissue (PAT) is predictive of prediabetes and type 2 diabetes over time. METHODS: In total, 2,570 adults without prediabetes/diabetes from the Coronary Artery Risk Development in Young Adults Study were followed up over 15 years. PAT volume was measured by computed tomography scans, and the new onset of prediabetes/diabetes was examined 5 years, 10 years, and 15 years after the PAT measurements. Multivariable Cox regression models were used to examine the association between the tertile of PAT and incident prediabetes/diabetes up to 15 years later. The predictive ability of PAT (vs. waist circumference [WC], body mass index [BMI], waist-to-height ratio [WHtR]) for prediabetes/diabetes was examined by comparing the area under the receiver operating characteristic curve (AUC). RESULTS: The highest tertile of PAT was associated with a 1.56 times (95% confidence interval [CI], 1.03 to 2.34) higher rate of diabetes than the lowest tertile; however, no association was found between the highest tertile of PAT and prediabetes in the fully adjusted models, including additional adjustment for BMI or WC. In the fully adjusted models, the AUCs of WC, BMI, WHtR, and PAT for predicting diabetes were not significantly different, whereas the AUC of WC for predicting prediabetes was higher than that of PAT. CONCLUSIONS: PAT may be a significant predictor of hyperglycemia, but this association might depend on the effect of BMI or WC. Additional work is warranted to examine whether novel adiposity indicators can suggest advanced and optimal information to supplement the established diagnosis for prediabetes/diabetes. | URI: | https://hdl.handle.net/10356/173720 | ISSN: | 2092-7193 | DOI: | 10.4178/epih.e2023001 | Schools: | Lee Kong Chian School of Medicine (LKCMedicine) | Rights: | © 2023 Korean Society of Epidemiology. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | LKCMedicine Journal Articles |
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