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Intersubject Variability of Blood Analysis Reference Values: Assessment of Age and Locality Influence by Means of a Linear Discriminant Analysis Model

机译:血液分析参考值的受试者间变异性:通过线性判别分析模型评估年龄和位置影响

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摘要

Glycemic and lipidic profiles might be influenced by several factors. The influence of the age group in the most extensively evaluated lipidic and glycemic parameters is more or less well‐accepted. To verify this empirical notion, 996 human subjects aged between 21 and 90 years from different localities were characterized according to age. To assess lipid profile, total cholesterol and cholesterol associated with lipoprotein fractions (low‐density lipoprotein cholesterol and high‐density lipoprotein cholesterol) and triglycerides were determined. Regarding glycemic profile, glucose, and glycated hemoglobin were measured. The majority of the population had values of lipidic parameters fit into the reference values, presenting low or moderate risk for developing cardiovascular disease. Blood glucose was often far above the desirable, but this can be devalued due to the b 1c values, which were overwhelmingly located in the normal range. The categorization of data in different age groups did not allow defining statistically significant differences. Despite the discriminant linear model was presented, the results indicate that age group did not act as a strong discriminant factor. Somehow unexpectedly, the most significant differences were found among the different localities, which tended to show a similarity according with their latitude. Furthermore, there were no significant correlations in the parameters associated with lipidic profile, but there was a direct correlation between glucose levels and b 1c (glycemic parameters).
机译:血糖和脂质分布可能受多种因素影响。在最广泛评估的脂质和血糖参数中,年龄组的影响或多或少被接受。为了验证这一经验概念,根据年龄对来自不同地区的996名年龄在21至90岁之间的人类受试者进行了特征描述。为了评估脂质分布,测定了总胆固醇和与脂蛋白组分(低密度脂蛋白胆固醇和高密度脂蛋白胆固醇)和甘油三酸酯有关的胆固醇。关于血糖曲线,测量了葡萄糖和糖化血红蛋白。多数人群的血脂参数值与参考值相吻合,代表发生心血管疾病的风险较低或中等。血糖通常远高于期望值,但是由于b 1c值绝大多数位于正常范围内,因此血糖值可能会贬值。不同年龄组的数据分类不允许定义具有统计学意义的差异。尽管提出了判别线性模型,但结果表明年龄组并没有成为一个强大的判别因素。出乎意料的是,在不同地区之间发现了最显着的差异,这些差异往往根据其纬度表现出相似性。此外,与脂质谱相关的参数没有显着相关性,但血糖水平和b 1c(血糖参数)之间存在直接相关性。

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