Seattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, Seattle, WA, USA; Department of Family Medicine, Taichung Armed Forces General Hospital, Taichung, Taiwan; National Defense Medical Center, Taipei, Taiwan.
Department of Medicine, School of Medicine, University of Washington, Seattle, WA, USA.
Obes Res Clin Pract. 2024 Jul-Aug;18(4):263-268. doi: 10.1016/j.orcp.2024.09.001. Epub 2024 Sep 14.
Visceral fat predicts the development of metabolic syndrome (MetS), but it is not known whether the visceral to subcutaneous fat area ratio (VSR) measured using imaging predicts MetS risk as well or better. Thus, we aimed to examine if VSR predicted future risk of MetS over 10-years.
We followed 329 participants in the longitudinal Japanese American Community Diabetes Study without MetS at baseline for its development over 10 years. Intra-abdominal (VFA) and subcutaneous abdominal (SFA) fat areas were measured at baseline and 10-years and used to calculate VSR. Logistic regression was used to estimate the odds of incident MetS by baseline and 10-year change in VSR and other adipose depots with and without adjustment for baseline MetS features. Areas under ROC curves were calculated in predicting the development of MetS.
99 participants developed MetS over 10-years. Logistic regression models showed a higher odds of incident MetS with greater VSR and 10-year VSR change (OR = 1.67, 95 % CI 1.11-2.51; OR = 1.46, 95 % CI 1.06-2.01, respectively) adjusting for age, sex, and MetS features at baseline. However, VSR alone performed poorly at discriminating (AUROC 0.5807) compared to VFA (AUROC 0.6970, p < 0.001) or a logistic model incorporating VFA and SFA (AUROC 0.7221, p = 0.001).
VSR and VFA predict 10-year MetS risk in Japanese Americans, confirming the importance of relatively greater fat distribution in the visceral depot in the development of MetS. However, VSR is a weaker predictor of MetS development and provides less information compared to VFA alone, and its further use in predicting metabolic abnormalities is not recommended.
内脏脂肪可预测代谢综合征(MetS)的发生,但目前尚不清楚使用影像学测量的内脏脂肪与皮下脂肪面积比(VSR)是否能更好地预测 MetS 风险。因此,我们旨在研究 VSR 是否能预测 10 年内 MetS 的发生风险。
我们对基线时无 MetS 的纵向日本裔美国人社区糖尿病研究中的 329 名参与者进行了随访,以研究其在 10 年内发生 MetS 的情况。在基线和 10 年时测量了腹内(VFA)和腹部皮下(SFA)脂肪面积,并用于计算 VSR。使用逻辑回归来估计 VSR 基线和 10 年变化以及其他脂肪沉积与基线 MetS 特征调整前后发生 MetS 的几率。计算了 ROC 曲线下面积以预测 MetS 的发生。
在 10 年内,有 99 名参与者发生了 MetS。逻辑回归模型显示,VSR 较高且 10 年 VSR 变化较大(OR=1.67,95%CI 1.11-2.51;OR=1.46,95%CI 1.06-2.01),调整了年龄、性别和基线 MetS 特征。然而,VSR 本身在区分(AUROC 0.5807)方面表现不佳,而 VFA (AUROC 0.6970,p<0.001)或纳入 VFA 和 SFA 的逻辑模型(AUROC 0.7221,p=0.001)表现更好。
VSR 和 VFA 可预测日本裔美国人 10 年内发生 MetS 的风险,证实了内脏脂肪库中相对更大的脂肪分布在 MetS 发生中的重要性。然而,VSR 是 MetS 发生的较弱预测指标,与单独的 VFA 相比提供的信息更少,因此不建议其进一步用于预测代谢异常。