Am J Epidemiol. 2014 Sep 1;180(5):526-35. doi: 10.1093/aje/kwu152. Epub 2014 Jul 12.
Total energy consumption and activity-related energy expenditure (AREE) estimates that have been calibrated using biomarkers to correct for measurement error were simultaneously associated with the risks of cardiovascular disease, cancer, and diabetes among postmenopausal women who were enrolled in the Women's Health Initiative at 40 US clinical centers and followed from 1994 to the present. Calibrated energy consumption was found to be positively related, and AREE inversely related, to the risks of various cardiovascular diseases, cancers, and diabetes. These associations were not evident in most corresponding analyses that did not correct for measurement error. However, an important analytical caveat relates to the role of body mass index (BMI) (weight (kg)/height (m)(2)). In the calibrated variable analyses, BMI was regarded, along with self-reported data, as a source of information on energy consumption and physical activity, and BMI was otherwise excluded from the disease risk models. This approach cannot be fully justified with available data, and the analyses herein imply a need for improved dietary and physical activity assessment methods and for longitudinal self-reported and biomarker data to test and relax modeling assumptions. Estimated hazard ratios for 20% increases in total energy consumption and AREE, respectively, were as follows: 1.49 (95% confidence interval: 1.18, 1.88) and 0.80 (95% confidence interval: 0.69, 0.92) for total cardiovascular disease; 1.43 (95% confidence interval: 1.17, 1.73) and 0.84 (95% confidence interval: 0.73, 0.96) for total invasive cancer; and 4.17 (95% confidence interval: 2.68, 6.49) and 0.60 (95% confidence interval: 0.44, 0.83) for diabetes.
使用生物标志物校正测量误差后进行校准的总能量消耗和与活动相关的能量消耗(AREE)估计值,与在 40 个美国临床中心参加妇女健康倡议并从 1994 年随访至今的绝经后妇女的心血管疾病、癌症和糖尿病风险同时相关。校准后的能量消耗与各种心血管疾病、癌症和糖尿病的风险呈正相关,而 AREE 则呈负相关。在大多数未校正测量误差的相应分析中,这些关联并不明显。然而,一个重要的分析注意事项涉及到体重指数(BMI)(体重(kg)/身高(m)(2))的作用。在校准变量分析中,BMI 与自我报告的数据一起被视为能量消耗和身体活动信息的来源,并且 BMI 否则从疾病风险模型中排除。这种方法不能完全用现有数据证明是合理的,本文的分析意味着需要改进饮食和身体活动评估方法,需要纵向自我报告和生物标志物数据来测试和放宽建模假设。总能量消耗和 AREE 分别增加 20%的估计危险比如下:总心血管疾病为 1.49(95%置信区间:1.18,1.88)和 0.80(95%置信区间:0.69,0.92);总侵袭性癌症为 1.43(95%置信区间:1.17,1.73)和 0.84(95%置信区间:0.73,0.96);糖尿病为 4.17(95%置信区间:2.68,6.49)和 0.60(95%置信区间:0.44,0.83)。