American Journal of Epidemiology Vol. 130, No. 3: 578-587
Copyright © 1989 by The Johns Hopkins University School of Hygiene and Public Health
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THE SECOND NATIONAL HEALTH AND NUTRITION EXAMINATION SURVEY 1976%1980
1Division of Nutritional Sciences, Cornell University Ithaca, NY.
2School of Public Health, University of Texas Health Science Center Houston, TX.
Reprint requests to Dr. Jean-Pierre Habicht, Division of Nutritional Scienw, Savage Hall, Cornell University, Ithaar, NY 14853
The component8 of reliabiitty for eight anthropometric measures were studied in 95 male and 134 female subjects from the Second National Health and Nutrition Examination Survey (NHANES II). The contributions to unreliability variance (Sr2) that occur as a resutt of measuring errors (Sp2 imprecidon variance) and of irttrasubject fluctuations in a measurement due to physiologic factors (Sd2, umdependabiltty) were estimated (Sr2 = Sp2 + Sd2). Unreiiabiiity was then related to the between-subject variance (s2 to estimate the reliability (R = 1 – (Sr2s2)) of the measurement Four of the anthropometric measurements (weight, height, sitting height, and arm circumference) had reliabilities in excess of R = 0.97. in the first three of these, measurement imprecision made up two thirds or lesa of unreliability, and undependability (Sd2) was stable by two weeks. Lesser but still acceptable reliabilttles were obtained for triceps and subscapular skinfolds, bitrochanteric breadth, and elbow breadth (R = 0.81–0.95). For these variables imprecision (Sp2) was the major source of error. Furthermore, the unreiiability (Sr2) between observers was twice as high or more than the unreliability Within observers for these variables, evidence that imprecision (Sp2) is the single most important source of unreliabiltty in these anthropometric measurements. Unreliability standard deviations of skinfdds increased in a linear manner wtth skinfold thickness corresponding to an unreliability coefficient of variation of 13–19 per cent None of the other measurements showed such scale effects. Analyses of the kind suggested will help epidemiologists decide whether reliability can be increased by improving precision, and whether there is a need to improve reliabiitty in the first place. Reliabiltty appears to be adequate for all anthropometry in the NHANES II.
anthropomeby; epidemiologic methods; health surveys; nutrition surveys
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