Black A E
MRC Dunn Nutrition Centre, Downhams Lane, Milton Road, Cambridge, CB4 1XJ, UK.
Eur J Clin Nutr. 2000 May;54(5):395-404. doi: 10.1038/sj.ejcn.1600971.
To explore the specificity and sensitivity of the Goldberg cut-off for EI:BMR for identifying diet reports of poor validity as compared with the direct comparison of energy intake with energy expenditure measured by doubly-labelled water.
Twenty-two studies with measurements of total energy expenditure by doubly-labelled water (EE), basal metabolic rate (BMR) and energy intake (EI) provided the database (n=429). The ratio EI:EE provided the baseline definition of under- (UR), acceptable- (AR) and over-reporters (OR), respectively EI:EE <0.76, 0.76-1.24 and >1.24. Four strategies for identifying under- and over-reporters using the Goldberg cut-off were explored. Sensitivity of the cut-off was calculated as the proportion of UR correctly identified and specificity as the proportion of non-UR correctly identified.
UR, AR and OR (by EI:EE) were 34, 62 and 4% respectively of all subjects. When a single Goldberg cut-off for the physical activity level (PAL) of 1.55 was used, for men and women respectively the sensitivity was 0.50 and 0.52 and the specificity 1. 00 and 0.99. Using a cut-off for higher PAL traded specificity for sensitivity. Using the cut-off for a PAL of 1.95, sensitivity was 0. 76 and 0.85 and the specificity 0.87 and 0.78 for men and women respectively. Using cut-offs for mean age-sex specific PAL did not improve sensitivity. When subjects were assigned to low, medium and high activity levels and cut-offs for three different PALs used, sensitivity improved to 0.74 and 0.67 without loss of specificity (0. 97 and 0.98), for men and women respectively. If activity levels for men were applied to the womens' data, sensitivity improved to 0.72.
To identify diet reports of poor validity using the Goldberg cut-off for EI:BMR, information is needed on each subject's activity level.
与通过双标水测量的能量摄入与能量消耗直接比较相比,探讨用于识别有效性差的饮食报告的戈德堡能量摄入与基础代谢率(EI:BMR)截断值的特异性和敏感性。
22项通过双标水测量总能量消耗(EE)、基础代谢率(BMR)和能量摄入(EI)的研究提供了数据库(n = 429)。EI:EE比值分别为低于报告者(UR)、可接受报告者(AR)和高于报告者(OR)提供了基线定义,即EI:EE < 0.76、0.76 - 1.24和> 1.24。探索了使用戈德堡截断值识别低于报告者和高于报告者的四种策略。截断值的敏感性计算为正确识别的UR比例,特异性计算为正确识别的非UR比例。
在所有受试者中,UR、AR和OR(按EI:EE)分别占34%、62%和4%。当使用体力活动水平(PAL)为1.55的单一戈德堡截断值时,男性和女性的敏感性分别为0.50和0.52,特异性分别为1.00和0.99。使用更高PAL的截断值会以特异性换取敏感性。使用PAL为1.95的截断值时,男性和女性的敏感性分别为0.76和0.85,特异性分别为0.87和0.78。使用按年龄性别特异性平均PAL的截断值并没有提高敏感性。当将受试者分为低、中、高活动水平并使用三种不同PAL的截断值时,男性和女性的敏感性分别提高到0.74和0.67,且特异性未降低(分别为0.97和0.98)。如果将男性的活动水平应用于女性数据,敏感性提高到0.72。
为了使用EI:BMR的戈德堡截断值识别有效性差的饮食报告,需要了解每个受试者的活动水平。