Lipid accumulation product is a better predictor of metabolic syndrome in Chinese adolescents: a cross-sectional study.
Lipid accumulation product is a better predictor of metabolic syndrome in Chinese adolescents: a cross-sectional study.
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DOI：
10.3389/fendo.2023.1179990
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发表时间：
2023
影响因子：
5.2
通讯作者：
中科院分区：
文献类型：
--
作者：
确认并比较中国青少年非传统血脂谱与代谢综合征（MetS）的关联程度，确定预测潜力较好的血脂参数，并考察其对MetS的区分能力。医学测量，包括人体测量和生化血液测试，进行了总样本的1112名青少年（564名男孩和548名女孩），年龄从13岁到18岁。应用单变量和多变量logistic回归分析评估传统/非传统血脂水平与代谢综合征之间的关系。我们进行了受试者工作特征（ROC）分析，以测定脂质累积产物（CYP）对MetS诊断的有效性。同时计算MetS及其组分的ROC曲线下面积和临界值。单因素分析显示，血脂与代谢综合征密切相关（P< 0.05）。与其他血脂谱相比，代谢综合征与血脂指数的关系最密切。此外，ROC分析表明，METS指数显示出足够的能力，以确定青少年代谢综合征及其组件。MetS指数是一个简单而有效的工具，以确定个人与MetS在中国青少年。
Confirm and compare the degree of associations of non-traditional lipid profiles and metabolic syndrome (MetS) in Chinese adolescents, determine the lipid parameter with better predictive potential, and investigate their discriminatory power on MetS. Medical measurements, including anthropometric measurements and biochemical blood tests, were undergone among a total sample of 1112 adolescents (564 boys and 548 girls) aged from 13 to 18 years. Univariate and multivariate logistic regression analyses were applied for assessing the relationships between the levels of traditional/non-traditional lipid profiles and MetS. We performed Receiver Operating Characteristic (ROC) analyses to mensurate the effectiveness of lipid accumulation product (LAP) on the diagnosis of MetS. Meanwhile, areas under the ROC curve and the cut-off values were calculated for MetS and its components. Univariate analysis showed that all our lipid profiles were closely associated with MetS (P< 0.05). LAP index showed the closest association with MetS than the other lipid profiles. Additionally, ROC analyses indicated that the LAP index showed sufficient capabilities to identify adolescents with MetS and its components. The LAP index is a simple and efficient tool to identify individuals with MetS in Chinese adolescents.
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影响因子：
4.8
作者：
Asghari G;Hasheminia M;Heidari A;Mirmiran P;Guity K;Shahrzad MK;Azizi F;Hadaegh F
通讯作者：
Hadaegh F
影响因子：
4.6
作者：
Lee J;Kim B;Kim W;Ahn C;Choi HY;Kim JG;Kim J;Shin H;Kang JG;Moon S
通讯作者：
Moon S
影响因子：
2.1
作者：
Karatas, Savas;Beysel, Selvihan
通讯作者：
Beysel, Selvihan
影响因子：
4.6
作者：
Lee, Min-Kyung;Han, Kyungdo;Kwon, Hyuk-Sang
通讯作者：
Kwon, Hyuk-Sang
影响因子：
8.2
作者：
Brahimaj, Adela;Rivadeneira, Fernando;Kavousi, Maryam
通讯作者：
Kavousi, Maryam