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Insulin-like Growth Factors and Subsequent Risk of Mortality in the United States

机译:在美国,胰岛素样生长因子和随后的死亡风险

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摘要

Although numerous studies have explored the relation of insulin-like growth factor (IGF)-I and IGF-binding protein (BP) 3 with cancer and cardiovascular disease, only two previous studies are known to have looked at the association of IGF-I and IGF-BP3 with risk of mortality. The objective of this US study was to examine the risk of all-cause, heart disease, and cancer mortality associated with IGF-I and IGF-BP3 levels using data from the Third National Health and Nutrition Examination Survey (NHANES III) and NHANES III Mortality Study (n = 6,061) (1988–2000). The authors constructed proportional hazards models with age as the time scale to determine the association of baseline IGF-I and IGF-BP3 levels with subsequent mortality. After adjustment for baseline measures, there was no increased risk of all-cause, heart disease, or cancer mortality for the lower quartiles of IGF-I compared with the highest quartile. The adjusted relative hazard of all-cause mortality for the lowest quartile of IGF-BP3 compared with the highest quartile was 1.57 (95% confidence interval: 0.98, 2.52), and the trend for risk was significant (p = 0.0364), but there was no increased risk of heart disease or cancer mortality. Results suggest that the association of IGF-I and IGF-BP3 with mortality may differ from associations with incidence of disease.
机译:尽管众多研究探索了胰岛素样生长因子(IGF)-I和IGF结合蛋白(BP)3与癌症和心血管疾病的关系,但只有两项先前的研究着眼于IGF-I和IGF-I的关系。 IGF-BP3具有死亡风险。这项美国研究的目的是使用第三次全国健康与营养检查调查(NHANES III)和NHANES III的数据检查与IGF-I和IGF-BP3水平相关的全因,心脏病和癌症死亡率的风险死亡率研究(n = 6,061)(1988–2000)。作者构建了以年龄为时间尺度的比例风险模型,以确定基线IGF-1和IGF-BP3水平与随后的死亡率之间的关系。调整基线指标后,与四分位数最高的人群相比,IGF-I较低的四分位数患者的全因,心脏病或癌症死亡风险没有增加。 IGF-BP3最低四分位数与最高四分位数的校正后全因死亡率相对危险度是1.57(95%置信区间:0.98,2.52),风险趋势显着(p = 0.0364)没有增加心脏病或癌症死亡率的风险。结果表明,IGF-I和IGF-BP3与死亡率的关联可能与疾病发病率的关联不同。

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  • 来源
    《American Journal of Epidemiology 》 |2007年第5期| 518-526| 共9页
  • 作者单位

    Office of Analysis and Epidemiology National Center for Health Statistics Centers for Disease Control and Prevention Hyattsville MD;

    Biostatistics Branch Division of Cancer Epidemiology and Genetics National Cancer Institute Bethesda MD;

    Applied Research Program Division of Cancer Control and Population Sciences National Cancer Institute Bethesda MD;

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