患有代谢综合征 (MetS) 的人患冠状动脉疾病、糖尿病、中风、骨关节炎和某些类型的癌症的风险较高。寻找可用且廉价的标记物对于 MetS 的预测最有用。本研究旨在确定致动脉粥样硬化指数和人体测量指标与 MetS 的 10 年风险之间的关系。在马什哈德中风和心脏动脉粥样硬化性疾病的 10 年随访期间（MASHAD 研究），4684 名未进行 MetS 的受试者在本研究招募了基线。测量人体测量指数和动脉粥样硬化指数，包括血浆动脉粥样硬化指数（AIP）、Castelli风险指数I和II（CRI-I、CRI-I）以及动脉粥样硬化系数（AC）。 SPSS-23 用于所有统计分析。在基线时没有 MetS 的受试者中，有 1599 例 (34.1%) 发生了 MetS。与健康人相比，MetS 患者的人体测量和血脂指数显着升高（p<<0.001）。研究表明，AIP 和 AC 增加 1 个单位可使 MetS 风险增加 22.7%（OR：1.227（95% CI，1.166-1.291））和 37.7%（OR：1.377（95% CI，1.291-1.468） ））， 分别。此外，增加 1 个单位的 WHtR 可使 MetS 的风险降低 8.5%（OR：0.915（95% CI，0.886-0.946））。这项纵向研究的结果表明，增加 AC 和 AIP 会增加 MetS 的风险。本研究还表明，AC 和 AIP 在临床环境中是有用的预测因子，可用于识别伊朗成年人群中患有 MetS 的个体。© 2024。作者获得爱尔兰皇家医学院的独家许可。

People with metabolic syndrome (MetS) are at a higher risk of coronary artery disease, diabetes mellitus, stroke, osteoarthritis, and some types of cancers. Finding markers which are available and inexpensive are most useful for the prediction of MetS. The present study aimed to determine the relationship between atherogenic index and anthropometric indicators and the 10-year risk of MetS.During the 10-year follow-up on Mashhad stroke and heart atherosclerotic disorder (MASHAD study), 4684 subjects who did not MetS at baseline were recruited in this study. The anthropometric indices and atherogenic index including atherogenic index of plasma (AIP), Castelli's risk index I and II (CRI-I, CRI-I), and atherogenic coefficient (AC) were measured. SPSS-23 was used for all statistical analyses.Among subjects who did not have MetS at baseline 1599 cases (34.1%) developed MetS. The anthropometric and lipid indices were significantly elevated in patients with MetS compared to the healthy ones (p < 0.001). It was revealed that an increase of one unit in AIP and AC can raise the risk of MetS 22.7% (OR: 1.227 (95% CI, 1.166-1.291)) and 37.7% (OR: 1.377 (95% CI, 1.291-1.468)), respectively. Moreover, increasing one unit of WHtR decreases the risk of MetS by 8.5% (OR: 0.915 (95% CI, 0.886-0.946)).The results of this longitudinal study showed that increasing AC and AIP could enhance the risk of MetS. The present study also indicated that AC and AIP are useful predictors in the clinical setting for identifying individuals with MetS in the Iranian adult population.© 2024. The Author(s), under exclusive licence to Royal Academy of Medicine in Ireland.