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脂质蓄积产物与代谢综合征:伊朗北部阿莫勒的一项基于人群的研究

Lipid accumulation product and metabolic syndrome: a population-based study in northern Iran, Amol.

作者信息

Motamed N, Razmjou S, Hemmasi G, Maadi M, Zamani F

机构信息

Department of Social Medicine, Zanjan University of Medical Science, Zanjan, Iran.

Department of Neuroscience, Carleton University, Ottawa, Canada.

出版信息

J Endocrinol Invest. 2016 Apr;39(4):375-82. doi: 10.1007/s40618-015-0369-5. Epub 2015 Aug 29.

DOI:10.1007/s40618-015-0369-5
PMID:26319991
Abstract

PURPOSE

Lipid accumulation product (LAP) demonstrated a strong predictive accuracy for metabolic syndrome (MetS) in previous studies. This study was conducted to determine the predictive performance of LAP compared to obesity indexes. Moreover, the optimal cutoff point of LAP based on the study population waist circumference threshold was estimated in both men and women.

METHODS

5797 subjects with an average age of 44.77 ± 16.77 years for men and 43.78 ± 15.43 years for women were included in the present study. The ROC analysis was performed to assess the predictive accuracy of LAP in the diagnosis of MetS. The optimal cutoff point of LAP was determined according to maximal Youden index in both men and women.

RESULTS

The optimal cutoff points determined for LAP were 49.71 (sensitivity = 85.2 %, specificity = 82.3 %) for women and 39.89 (sensitivity = 86 %, specificity = 79.6 %) for men. Based on the assigned cutoff points, the prevalence of high LAP was obtained 44.1 % in men and 45.1 % in women. LAP also showed a significantly higher predictive performance for MetS compared to obesity measures and also TG.

CONCLUSION

LAP has a strong and reliable diagnostic accuracy for MetS in Iranian population in the north of Iran. LAP showed a better predictability than other obesity indexes assessed in the present study.

摘要

目的

在先前的研究中,脂质蓄积产物(LAP)对代谢综合征(MetS)显示出很强的预测准确性。本研究旨在确定LAP与肥胖指标相比的预测性能。此外,还根据研究人群的腰围阈值估计了男性和女性LAP的最佳截断点。

方法

本研究纳入了5797名受试者,男性平均年龄为44.77±16.77岁,女性平均年龄为43.78±15.43岁。进行ROC分析以评估LAP在诊断MetS中的预测准确性。根据男性和女性的最大约登指数确定LAP的最佳截断点。

结果

确定的LAP最佳截断点,女性为49.71(敏感性=85.2%,特异性=82.3%),男性为39.89(敏感性=86%,特异性=79.6%)。根据指定的截断点,男性高LAP患病率为44.1%,女性为45.1%。与肥胖指标和甘油三酯(TG)相比,LAP对MetS的预测性能也显著更高。

结论

在伊朗北部人群中,LAP对MetS具有强大且可靠的诊断准确性。LAP比本研究中评估的其他肥胖指标具有更好的预测性。

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