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Panel Summary: The Revolution in Risk Assessment and Disease Detection: Implications for Population Science

机译:小组总结:风险评估和疾病检测的革命:对人口科学的启示

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Obesity has reached epidemic proportions and complications related to obesity contribute substantially to both health care costs and mortality. Obesity, particularly when accompanied by an excess of visceral/ectopic fat, is a major risk factor for diseases ranging from insulin resistance, type 2 diabetes, nonalcoholic fatty liver disease, and cardiovascular disease.1-5 Also, coronary atherosclerosis is another important risk factor associated with obesity and proved to be a predictor for cardiovascular disease (CVD) across ethnic groups. Accordingly, risk for obesity and its assessments should be considered by utilizing the existing JHS data to its fullest, especially with the rich computed tomography (CT) and magnetic resonance imaging (MRI) datasets.The benefits of utilizing biomarkers include: 1) enable faster, efficient clinical trials for life-saving or health-promoting interventions; 2) help inform healthy diet choices; 3) enable tracking of health concerns and decisions about care.
机译:肥胖已经达到流行病的程度,并且与肥胖有关的并发症在很大程度上增加了医疗费用和死亡率。肥胖,尤其是伴有过多的内脏/异位脂肪,是导致胰岛素抵抗,2型糖尿病,非酒精性脂肪肝和心血管疾病等疾病的主要危险因素。1-5此外,冠状动脉粥样硬化也是另一个重要风险肥胖相关因素,并被证明是跨族裔人群心血管疾病(CVD)的预测因子。因此,应该充分利用现有的JHS数据来考虑肥胖的风险及其评估,尤其是使用丰富的计算机断层扫描(CT)和磁共振成像(MRI)数据集时。利用生物标记的好处包括:1)更快地实现进行有效的临床试验以挽救生命或促进健康; 2)帮助告知健康的饮食选择; 3)能够跟踪健康问题和有关护理的决定。

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