营养性和非营养性甜味剂以及运动对血液、血脂和血糖的影响

Jarrett Walbolt, Y. Koh
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Agreement of Glc, HDL and TG of three point-of-care analyzers (A, B, C) against a reference lab (REF) were analyzed by Bland-Altman (bias, Limits of Agreement (LoA)) and McNemar‘s test (MN). Further, MetS diagnosis by the mobile setup was tested for inter-session reliability by Spearman‘s rho and test-retest variability (TRV%). RESULTS: The range of systematic bias was for Glc -21 to -8 mg/dl, for TG -90 to 3 mg/dl and for HDL -8 to 9 mg/dl. Device C was excluded from further analyses due to missing values. Device A was chosen for additional analysis based on smallest bias and LoA (Glc: -8 [LoA -27 to 11] mg/dl; TG: 3 [LoA -40 to 46] mg/dl; HDL: -3 [LoA -16 to 11] mg/dl) and best agreement of MetS diagnosis with REF (MN: A vs. REF: p>.05; B vs. REF: p<.05). Test-retest analysis for risk factor classification and MetS diagnosis was performed in a mobile examination unit using device A. No inter-session differences for risk factor and MetS diagnosis were shown (MN day 1 vs. 2: p>.05). Spearman‘s rho and TRV for risk factors were: TG: r =.734 (p<.05); 3.3%; HDL: r =.893 (p<.05); 6.8%; Glc, r =.076; 1.9%; systolic BP: r =.372; 1.7%; diastolic BP: r =.457; 3.3% and WC: r =.950 (p<.05); 1.1%. CONCLUSIONS: The mobile setup showed no inter-session difference in MetS diagnosis. TRV was low for all risk factors and test-retest reliability was acceptable for TG, good for HDL and excellent for WC. Inter-session variations in Glc and BP did not influence the overall risk factor classification and MetS diagnosis. 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引用次数: 0

摘要

代谢综合征(MetS)是一个全球性的公共卫生问题,其特征是具有以下三个或更多的危险因素:高血糖(Glc)、腰围(WC)增加、高血压(BP)、血清高密度脂蛋白(HDL)降低和血清甘油三酯(TG)升高。由于某些农村地区缺乏最佳医疗保健所需的基础设施,使用即时护理分析仪的移动诊断可以帮助识别有MetS风险的人。目的:在移动检查装置中使用即时分析仪测试MetS风险因素分析的信度和效度。方法:50例受试者(重测18例;52±7 y;170±10厘米;80±19 kg)被纳入研究。通过Bland-Altman(偏倚、一致限(LoA))和McNemar检验(MN)分析三个护理点分析仪(A、B、C)与参考实验室(REF)的Glc、HDL和TG的一致性。此外,移动装置的MetS诊断通过Spearman 's rho和测试-重测试变异性(TRV%)测试了会话间可靠性。结果:系统偏倚范围为Glc -21至- 8mg /dl, TG -90至3mg /dl, HDL -8至9mg /dl。由于缺失值,设备C被排除在进一步的分析之外。根据最小偏置和LoA (Glc: -8 [LoA -27 ~ 11] mg/dl;TG: 3 [LoA -40 ~ 46] mg/dl;HDL: -3 [LoA -16 ~ 11] mg/dl),与REF诊断met的最佳一致性(MN: A vs. REF: p> 0.05;B与REF: p.05)。危险因素的Spearman rho和TRV分别为:TG: r =.734(p < . 05);3.3%;HDL: r =.893(p < . 05);6.8%;Glc, r = 0.076;1.9%;收缩压:r =.372;1.7%;舒张压:r = 0.457;3.3%和WC: r = 0.950(p < . 05);1.1%。结论:移动装置在met诊断中没有显示间歇差异。所有危险因素的TRV都很低,TG的重测信度可以接受,HDL和WC的重测信度都很好。期间Glc和BP的变化不影响总体危险因素分类和MetS诊断。使用即时分析仪进行血液分析的移动装置是就近进行MetS筛查的有效和可靠的方法。
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Effects Of Nutritive And Nonnutritive Sweeteners And Exercise On Blood, Lipid, And Glucose Profiles
The metabolic syndrome (MetS) is a worldwide public health concern and is characterized by having three or more of these risk factors: high blood glucose (Glc), increased waist circumference (WC), high blood pressure (BP), reduced serum high-density lipoprotein (HDL) and increased serum triglycerides (TG). As certain rural regions lack the required infrastructure for optimal medical care, mobile diagnostics using point-of-care analyzers could help by identifying people at risk for MetS. PURPOSE: Test the reliability and validity of MetS risk factor analysis using point-of-care analyzers in a mobile examination unit. METHODS: Fifty participants (18 test-retest; 52±7 y; 170±10 cm; 80±19 kg) were enrolled in the study. Agreement of Glc, HDL and TG of three point-of-care analyzers (A, B, C) against a reference lab (REF) were analyzed by Bland-Altman (bias, Limits of Agreement (LoA)) and McNemar‘s test (MN). Further, MetS diagnosis by the mobile setup was tested for inter-session reliability by Spearman‘s rho and test-retest variability (TRV%). RESULTS: The range of systematic bias was for Glc -21 to -8 mg/dl, for TG -90 to 3 mg/dl and for HDL -8 to 9 mg/dl. Device C was excluded from further analyses due to missing values. Device A was chosen for additional analysis based on smallest bias and LoA (Glc: -8 [LoA -27 to 11] mg/dl; TG: 3 [LoA -40 to 46] mg/dl; HDL: -3 [LoA -16 to 11] mg/dl) and best agreement of MetS diagnosis with REF (MN: A vs. REF: p>.05; B vs. REF: p<.05). Test-retest analysis for risk factor classification and MetS diagnosis was performed in a mobile examination unit using device A. No inter-session differences for risk factor and MetS diagnosis were shown (MN day 1 vs. 2: p>.05). Spearman‘s rho and TRV for risk factors were: TG: r =.734 (p<.05); 3.3%; HDL: r =.893 (p<.05); 6.8%; Glc, r =.076; 1.9%; systolic BP: r =.372; 1.7%; diastolic BP: r =.457; 3.3% and WC: r =.950 (p<.05); 1.1%. CONCLUSIONS: The mobile setup showed no inter-session difference in MetS diagnosis. TRV was low for all risk factors and test-retest reliability was acceptable for TG, good for HDL and excellent for WC. Inter-session variations in Glc and BP did not influence the overall risk factor classification and MetS diagnosis. A mobile setup using a point-of-care analyzer for blood analysis is a valid and reliable method for a near-to-home MetS screening.
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