手指长度比与代谢综合征相关危险因素的相关性

M. White, Traci D. Jarrett, C. Komar
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引用次数: 5

摘要

代谢综合征是指一组增加人患心血管疾病和/或II型糖尿病几率的危险因素。高血压和胰岛素抵抗,两个与代谢综合征相关的因素,是产前雄激素暴露的反映。子宫内的雄激素暴露也与手部第二和第四指的长度比例有关(2D:4D)。目的:验证2D:4D与代谢性疾病发生危险范围内代谢综合征相关参数的相关性假设。如果我们的假设是正确的,测量患者的2D: 4D将是一种非侵入性的方法来确定患心血管疾病和/或II型糖尿病的风险。方法:在健康博览会上测量45名成年人的2D: 4d,并与代谢综合征相关参数和体重指数(BMI)进行相关性分析。还评估了用于确定代谢性疾病风险的2D:4D的可预测性。结果:左、右手的2D:4D与循环甘油三酯浓度升高、右手与BMI之间存在显著相关性。左右手2D:4D与甘油三酯升高关系的AUC分别为0.7538和0.7012。结论:2D:4D与甘油三酯升高之间的关系支持将2D:4D作为评估个体代谢综合征风险的无创筛查工具。这种筛查工具可能会增加愿意参与的人数,使早期发现和干预能够避免代谢性疾病。
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Correlation between Digit Length Ratios and Risk Factors Associated withMetabolic Syndrome
Metabolic syndrome refers to a group of risk factors that increase a person’s chance of developing cardiovascular disease and/or diabetes mellitus type II. Hypertension and insulin resistance, two factors associated with metabolic syndrome, are reflective of prenatal androgen exposure. Androgen exposure in utero is also related to the ratio of the length of the 2nd and 4th digits of the hand (2D:4D). Objective: To test the hypothesis that the 2D:4D correlates with parameters associated with metabolic syndrome measuring in the risk range for developing metabolic disease. If our hypothesis is correct, measuring a patient’s 2D: 4D would be a non-invasive way to determine the risk for developing cardiovascular disease and/or diabetes mellitus type II. Methods: The 2D:4Ds of 45 adults were measured at a health fair and correlated with the parameters associated with metabolic syndrome, and body mass index (BMI). The predictability of the 2D:4D for determining the risk of metabolic disease was also assessed. Results: Significant correlations were found between the 2D:4D of the left and right hands with elevated concentrations of circulating triglycerides, and the right hand with BMI. The AUC for the relationship of the right and left hand 2D:4D with elevated triglycerides was 0.7538 and 0.7012, respectively. Conclusion: The relationship between the 2D:4D and elevated triglycerides supports use of the 2D:4D as a noninvasive screening tool to assess an individual’s risk for metabolic syndrome. Such a screening tool may increase the number of people willing to participate, enabling earlier detection and intervention to stave off metabolic diseases.
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