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基于人群的研究:体成分表型的流行情况及其与血糖、血脂和炎症生物标志物的相关性。

Prevalence of body composition phenotypes and their associations with glycemic, lipidic, and inflammatory biomarkers: a population-based study.

机构信息

Universidade Federal de Santa Catarina, Florianópolis, Brasil.

Universidade Federal de Viçosa, Viçosa, Brasil.

出版信息

Cad Saude Publica. 2024 Jun 14;40(5):e00109823. doi: 10.1590/0102-311XEN109823. eCollection 2024.

DOI:10.1590/0102-311XEN109823
PMID:38896593
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11178369/
Abstract

We aimed to verify the prevalence of body composition phenotypes and the association of glycemic, lipidic, and inflammatory biomarkers with such phenotypes. This is a cross-sectional, population-based study, with 720 participants aged 20 to 59 years. Body composition was assessed by dual-energy X-ray absorptiometry. Obesity was defined as body fat percentage ≥ 25% in males and ≥ 32% in females and sarcopenia by appendicular muscle mass index < 7.0kg/m2 in males and < 5.5kg/m2 in females. Sarcopenic obesity (SO) was defined as the presence of both sarcopenia and obesity. The prevalence of obesity, sarcopenia, and SO were 62.5%, 4.5%, and 6.2%, respectively. The association between biomarkers and phenotypes was verified using multinomial logistic regression models adjusted for confounding factors. The models showed that increased glycemia (OR = 3.39; 95%CI: 1.83-6.27), total cholesterol (TC) (OR = 2.24; 95%CI: 1.35-3.70), LDL-c (OR = 1.01; 95%CI: 1.00-1.02), VLDL-c (OR = 1.04; 95%CI: 1.02-1.06), non-HDL-c (OR = 1.02; 95%CI: 1.01-1.03), triglycerides (Tg) (OR = 3.66; 95%CI: 2.20-6.06), and decreased HDL-c (OR = 0.97; 95%CI: 0.95-0.98) were significantly associated with the obesity phenotype. Increased HOMA-IR (OR = 3.94; 95%CI: 1.69-9.21), LDL-c (OR = 1.01; 95%CI: 1.00-1.02), non-HDL-c (OR = 1.01; 95%CI: 1.00-1.02), and hs-CRP (OR = 2.42; 95%CI: 1.04-5.66) were independently associated with SO phenotype. Our findings indicate that increased glycemia, TC, Tg, LDL-c, VLDL-c, non-HDL-c, and decreased HDL-c may be indicators of the obesity phenotype and that increased hs-CRP, HOMA-IR, LDL-c, and non-HDL-c appear to be indicators of the SO phenotype. Those parameters may be used as additional markers for screening.

摘要

我们旨在验证体成分表型的流行率,以及血糖、血脂和炎症生物标志物与这些表型的相关性。这是一项横断面、基于人群的研究,共有 720 名 20 至 59 岁的参与者。体成分通过双能 X 射线吸收法评估。肥胖定义为男性体脂肪百分比≥25%,女性体脂肪百分比≥32%;男性四肢骨骼肌指数<7.0kg/m2,女性<5.5kg/m2为肌少症。肌少性肥胖(SO)定义为同时存在肌少症和肥胖。肥胖、肌少症和 SO 的患病率分别为 62.5%、4.5%和 6.2%。使用调整混杂因素的多项逻辑回归模型验证了生物标志物与表型之间的相关性。模型显示,血糖升高(OR=3.39;95%CI:1.83-6.27)、总胆固醇(TC)(OR=2.24;95%CI:1.35-3.70)、低密度脂蛋白胆固醇(LDL-c)(OR=1.01;95%CI:1.00-1.02)、极低密度脂蛋白胆固醇(VLDL-c)(OR=1.04;95%CI:1.02-1.06)、非高密度脂蛋白胆固醇(non-HDL-c)(OR=1.02;95%CI:1.01-1.03)、甘油三酯(Tg)(OR=3.66;95%CI:2.20-6.06)和高密度脂蛋白胆固醇降低(OR=0.97;95%CI:0.95-0.98)与肥胖表型显著相关。高胰岛素血症抵抗指数(HOMA-IR)升高(OR=3.94;95%CI:1.69-9.21)、LDL-c(OR=1.01;95%CI:1.00-1.02)、非高密度脂蛋白胆固醇(OR=1.01;95%CI:1.00-1.02)和高敏 C 反应蛋白(hs-CRP)(OR=2.42;95%CI:1.04-5.66)与 SO 表型独立相关。我们的研究结果表明,血糖升高、TC、Tg、LDL-c、VLDL-c、非高密度脂蛋白胆固醇和高密度脂蛋白胆固醇降低可能是肥胖表型的指标,hs-CRP、HOMA-IR、LDL-c 和非高密度脂蛋白胆固醇升高可能是 SO 表型的指标。这些参数可用作筛查的附加标志物。

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