在规范性人口中,人体组成,人体测量和标准脂质面板之间的关系
Marcus Weeks1, Andrew D Delgado1, Jamie Wood1
1Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Frontiers in cardiovascular medicine
|December 21, 2023
概括
身体成分指标,如体脂百分比,与脂质水平密切相关,提供了一种不那么侵入性的方法来检测失脂症. 这种方法可以改善对代谢综合征的早期风险识别.
科学领域:
- 生物识别和健康诊断 医疗诊断
- 心血管健康研究 心血管健康研究
- 预防医学 预防医学
背景情况:
- 代谢综合征影响了超过三分之一的美国成年人,但诊断往往受到医疗保健和侵入性手术的阻碍.
- 非侵入性生物识别数据收集,如身体成分分析,可以为风险评估提供可访问的替代方案.
- 识别有代谢综合征和脂质失调风险的个体对于预防性医疗保健策略至关重要.
研究的目的:
- 在规范性人口中调查人体组成,人体测量和脂质概况之间的关联.
- 探索非侵入性生物识别数据的实用性,以识别失脂症.
- 评估使用可访问的身体组成数据用于代谢风险查的可行性.
主要方法:
- 199名健康参与者接受了健康检查,包括对脂质组 (TC,HDL-C,LDL-C,VLDL-C,TG) 的临床血液分析.
- 使用Fit3D和InBody570设备收集身体组成和人体测量数据.
- 进行回归分析,根据年龄,性别,种族,酒精使用和吸烟状况进行调整.
主要成果:
- 身体脂肪百分比 (%BF) 和内脏脂肪水平与所有测量的脂质值显示出显著的关联.
- 腰与部的比率也显示出与某些脂质参数的显著关联.
- 在%BF和非常低密度脂蛋白胆固醇 (VLDL-C) 和甘油三水平 (p < 0.0001) 之间观察到最强的相关性.
结论:
- 身体构成和人体测量可以用于评估社区环境中的失脂症风险.
- 非侵入性生物识别数据有望在规范性人群中识别患有脱脂症的个体.
- 这项探索性分析支持使用可访问的身体成分数据来早期检测代谢风险.
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