The Correlation of Total Percent Fat With Alterations in Cholesterol and Triglycerides in Adults.

The Correlation of Total Percent Fat With Alterations in Cholesterol and Triglycerides in Adults.
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DOI:
10.3389/fnut.2022.881729
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发表时间:
2022
影响因子:
5
通讯作者:
Kang, Weiming
Kang, Weiming
中科院分区:
农林科学2区
文献类型:
--
作者:
Sun, Juan;Zhang, Zimu;Liu, Zhen;Li, Jie;Kang, Weiming

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评估成人总脂肪百分比(TPF)与心血管疾病(CVD)相关脂质生物标志物之间的详细关系,并寻找用于筛查和监测CVD高危人群的非侵入性指标。从1999年至2018年的国家健康和考试调查(NHANES)中获得了13,160名成年人的数据。通过双能X射线吸收测定法(DXA)评估TPF,CVD相关脂质生物标志物包括总胆固醇(TC)、甘油三酯(TG)、低密度脂蛋白胆固醇(LDL-C)和高密度脂蛋白胆固醇(HDL-C)。使用多变量线性回归模型检查TPF与四种脂质生物标志物之间的关联,并使用平滑曲线拟合和广义加性模型来解决它们之间的非线性关系。当检测到非线性时,通过递归算法计算拐点,然后构建加权两段线性回归模型。在多变量回归中,TPF 的增加与 TC、TG 和 LDL-C 呈正相关,与 HDL-C 呈负相关(所有 p < 0.001)。此外,还通过广义加性模型和平滑曲线拟合来识别它们之间的非线性关系。当进一步按性别对TPF进行分层时,拟合出的平滑曲线为近倒U型和U型曲线,计算拐点,分别构建加权两分段线性回归模型。机器人脂肪百分比和这四种脂质生物标志物之间存在相同的结果。成人中总脂肪百分比与 CVD 相关脂质生物标志物显着相关,与 TC、TG 和 LDL-C 呈正相关,与 HDL-C 呈负相关。当TPF值小于拐点时,它可以作为CVD高危人群的无创筛查和监测。
To evaluate the detailed relationship between total percent fat (TPF) and cardiovascular disease (CVD)-related lipid biomarkers among adults and find a non-invasive indicator for screening and monitoring of the high CVD risk population. Data of 13,160 adults were obtained from the National Health and Examination Survey (NHANES) from 1999 to 2018. TPF was assessed by dual-energy x-ray absorptiometry (DXA), and CVD-related lipid biomarkers included total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C). Multivariable linear regression models were used to examine associations between TPF with four kinds of lipid biomarkers, and smooth curve fittings and generalized additive models were used to address the non-linear relationship between them. The inflection points were calculated by the recursive algorithm when non-linearities were detected and then weighted two-piecewise linear regression models were constructed. In multivariable regression, increasing TPF was positively associated with TC, TG, and LDL-C and negatively with HDL-C (all p < 0.001). In addition, the non-linear relationships between them were also identified by generalized additive models and smooth curve fittings. When further stratified TPF by sex, the fitted smooth curves were nearly inverted U-shaped and U-shaped curves, the inflection points were calculated, and the weighted two-piecewise linear regression models were constructed, respectively. The same results existed between android percent fat and these four lipid biomarkers. Total percent fat was significantly associated with CVD-related lipid biomarkers in adults, positively with TC, TG, and LDL-C and negatively with HDL-C. It could be used as a non-invasive screener and monitor of high CVD risk population when their TPF values were less than the inflection points.
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