American Journal of Epidemiology Copyright O 1996 by The Johns Hopkins University School of Hygiene and Public Health All rights reserved Vol. 143, No. 9 Printed in U.S.A Sex Differences in Measures of Body Fat and Body Fat Distribution in the Elderly Deborah Goodman-Gruen and Elizabeth Barrett-Connor This study describes sex differences in obesity and body fat distribution using commonly used assessment methods in 140 men and 245 women aged 65-96 years from Rancho Bernardo, California. Significant correlations were shown among all obesity measures. The waist/hip ratio was more strongly correlated with the truncal fat/leg fat ratio in women than men. The waist/hip ratio correlated significantly with the subscapular/ triceps skinfold ratio in women only. In both sexes, waist circumference was more strongly correlated with body mass index and the percentage of body fat by bioelectric impedance analysis and dual-energy X-ray absorptiometry than with the waist/hip ratio. In those aged over 80 years, age stratification showed that the waist/hip ratio was not correlated with any other measurement of obesity or fat distribution in men and correlated only with subscapular skinfolds in women. Waist circumference, however, correlated significantly with almost ail other measures of central obesity in older and younger men and women. Estimates of upper body (central) fat distribution appear to be age specific. After age 80, the waist/hip ratio is a poor method of assessing central or visceral adiposity, and waist circumference is a better measure of body fat distribution. Am J Epidemiol 1996; 143:898-906. absorptiometry, photon; body constitution; electric scanned projection Obesity and body fat distribution have been shown to be independent risk factors for a number of chronic diseases (1-10). Upper body (or central) fat distribution is thought to reflect visceral adiposity (11) and has been shown to be associated with insulin resistance and dyslipidemia (12, 13). Historically, anthropometric techniques have been used to estimate body fat and body fat distribution in epidemiologic studies, because more precise measurement methods, such as computerized tomography for visceral fat or body water by isotope dilution, whole-body counting of potassium40, or neutron activation analysis for total body fat, are more expensive and difficult to administer. Although several studies among adults have found a strong association between less invasive estimates of obesity, such as bioelectric impedance, dual-energy X-ray absorptiometry, and anthropometric measures (14-17), the generalizability of these results may be limited by age. Few have examined these associations in an elderly population, when age-related changes in human anatomy and physiology may alter the way in impedance; obesity; radiography, dual-energy which these tools reflect body composition (18, 19). Decreases in skin elasticity (20), alterations in hydration or bone mineral content (21), kyphosis, and relaxation of the abdominal musculature may lead to measurement error in older persons. The aim of this study was to compare the commonly used estimates of obesity and body fat distribution in an elderly, largely nonobese population of healthy men and women. MATERIALS AND METHODS The subjects for this study were the first 385 men and women aged 65 years and older who participated in the 1992-1994 evaluation of the Rancho Bernardo Heart and Chronic Disease Study (22). All were community dwelling and ambulatory. The history of cigarette smoking, alcohol use, physical activity, and postmenopausal estrogen use were determined by a structured questionnaire. Height and weight were measured with the participants wearing light clothing without shoes. Body mass index (weight (kg)/height (m)2) was calculated. Height from the baseline visit approximately 20 years earlier was used as a proxy of "true" height to examine the possible effect of height loss or kyphosis (often associated with osteoporosis) on measures of central obesity. Waist and hip girth were measured in centimeters over single-thickness clothing Received for publication February 8, 1995, and in final form February 13, 1996. From the Department of Family and Preventive Medicine, University of California, San Diego, La Jolla, CA. Reprint requests to Dr. Elizabeth Barrett-Connor, Department of Family and Preventive Medicine, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0628. 898 Sex Differences in Body Fat Measures with the participant standing in an erect position with feet together. The waist was measured at the bending point (point marked where the participant naturally bends forward and measured after the participant has returned to the upright position) and the narrowest circumference. Hip circumference was measured at the iliac crest and at the largest circumference. Both waist and both hip circumferences were highly correlated; for consistency with our previous reports, the bending point/iliac crest ratio was used as the waist/ hip ratio for these analyses. Using Harpenden calipers, subscapular skinfold thickness was measured inferior to the inferior angle of the scapula, and triceps skinfold thickness was measured at the midpoint between the acromial process and inferior border of the ulnar olecranon process, with the elbow flexed 90 degrees. Bioelectric impedance analysis was used to measure the percentage of fat mass (model 1990B; Valhalla Scientific, Inc., San Diego, California) by assessing the voltage drop between two pairs of electrodes using an alternating current of 500 /JLA at a frequency of 50 kHz. Total body fat and regional body fat measurements, including truncal and leg fat, were measured using total body dual-energy X-ray absorptiometry (model QDR-2000 X-ray bone densitometer; Hologic, Inc., Waltham, Massachusetts), which uses a single beam scanning mode. Truncal fat boundaries were determined 1) superiorly, a line bisecting the glenoid fossas; 2) laterally, lines extending to above the iliac crests, and 3) interiorly, oblique lines bisecting the femoral necks. Measurement of leg fat was delineated by the area inferior to the oblique lines passing through the femoral necks. Truncal fat and leg fat measurements were expressed as a percentage of fat in the truncal region and the leg region, respectively. The waist/hip ratio, subscapular skinfolds/triceps skinfolds ratio, and the truncal fat/leg fat ratio were used to estimate upper body obesity (central obesity and upper body obesity are used interchangeably in this paper). Waist circumference (at the bending point) is used as an integrated measure of obesity and fat distribution, because small studies have shown that waist circumference is highly correlated with both total and visceral body fat measured by computed tomography and magnetic resonance imaging (23, 24). Data were analyzed using SAS and SAS/STAT software (SAS Institute, Inc., Cary, North Carolina) (25). Student's t tests were used to test for significant sex differences in mean body fat using each measurement technique. Pearson's partial correlation coefficients were used to compare the associations between the measures of total body fat and body fat distribution, and the strength of associations was compared using Fischer's Z transformation. Frequency tables by tertile Am J Epidemiol Vol. 143, No. 9, 1996 899 of body fat and body fat distribution were used to assess concordance between the measurement methods. Logarithms of body fat measurements were used to account for slightly skewed distributions. All p values are two tailed. No adjustment was made for multiple comparisons; instead, exact p values are shown. RESULTS The average age of both men and women was 80 years (range, 65-96 years). Measures of total body fat and body fat distribution for the 245 women and 140 men are shown in table 1. Significant differences in body composition between men and women were shown by each method of measurement. Although the body mass index and subscapular skinfolds were greater in men than women, the percentage of total body fat by bioelectric impedance analysis or dualenergy X-ray absorptiometry was about 8 percent greater in women than men. Men had significantly greater upper body obesity than did women based on the waist circumference, waist/hip ratio, subscapular/ triceps ratio, or truncal fat/leg fat ratio. As shown in tables 2 and 3, the age-adjusted correlations among obesity measurements by body mass index, bioelectric impedance analysis, dual-energy Xray absorptiometry, and subscapular and triceps skinfolds were strong and significant in both men and women (rs > 0.43; ps > 0.0001). In contrast, the strength of associations among different measures of upper body obesity was weaker and differed between the sexes. In women, the waist/hip ratio was significantly correlated with the dual-energy X-ray absorptiometry truncal fat/leg fat ratio (r = 0.30; p = 0.0001) and subscapular/triceps skinfold ratio (r = 0.21; p - 0.001), and the truncal fat/leg fat ratio was associated with the subscapular/triceps ratio (r = 0.34; p — 0.0001). In men, the waist/hip ratio was weakly correlated with the truncal fat/leg fat ratio (r = 0.19; p = 0.03) and was not associated with the subscapular/ triceps ratio (r = 0.05; p = 0.60); the truncal fat/leg fat ratio and the skinfold ratio were weakly inversely associated (r = -0.17; p = 0.07). In both men and women, waist circumference was more strongly correlated with body mass index (r > 0.81; p = 0.0001) and the percentage of body fat estimated by bioelectric impedance analysis (r = 0.60; p = 0.0001) and dualenergy X-ray absorptiometry (r S: 0.64; p = 0.0001) than with the waist/hip ratio (r > 0.56; p = 0.0001), and these differences were statistically significant (p < 0.0001). Stratification by physical activity, cigarette smoking, alcohol use, and postmenopausal estrogen use in women did not materially alter these results (data not shown). 8 CD p ! 27.8 22.9 0.0001 8.0 6.4 40.0 25.3 0.0001 Leg (at ( Truncalfat Mean 24.0 25.6 Mean 0.0002 SO 7.2 6.8 SDt 7.0 5.5 SD 26.9 19.7 3.9 3.9 0.0001 BIAf 5.8 5.7 0.07 0.04 0.87 0.96 0.0001 SO Mean 0.81 1.32 Mean 0.90 0.69 Mean 0.0001 0.14 0.17 SO 7.5 7.1 SO 80.34 95.01 Mean • DEXA, dual-energy X-ray absorptiometry. t Numbers In parentheses, p value. 0.44 (0.0001) -0.27 (0.002) 0.86 (0.0001) 0.59 (0.0001 ) t 0.73(0.0001) 0.67 (0.0001) 0.68 (0.0001) 0.13 (0.14) Body mass Index 0.57 (0.0001) -0.30 (0.007) 0.60 (0.0001) 0.76(0.0001) 0.43 (0.0001) 0.51 (0.0001) 0.15 (0.10) Body fat percentage (bioelectric Impedance) 0.57 (0.0001) -0.29 (0.0009) 0.78 (0.0001) 0.55 (0.0001) 0.57(0.0001) 0.22 (0.02) Body tat percentage (DEXA*) 0.36 (0.0001) -0.02 (0.86) 0.64(0.0001) 0.71 (0.0001) 0.26 (0.004) Subscapular sWnfokte 0.34 (0.0001) -0.66 (0.0001) 0.59(0.0001) 0.11 (0.21) Triceps sWntoJds 0.19 (0.03) 0.05 (0.60) 0.43(0.0001) Waist/hip ratio -0.17 (0.07) 0.72(0.0001) ratio (DEXA) ra -0.17(0.0001) 0.0001 11.14 10.73 SO Waist circumference (cm) 7.6 7.3 17.9 13.2 0.0001 SD Mean Triceps sWntotds (mm) Age-adjusted correlations between measures of total body fat and body fat distribution in men from the Rancho Bernardo Study, 1992-1994 Body fat percentage (bioelectric Impedance) Body fat percentage (DEXA) Subscapular sklnfolds Triceps stonfokJs Waist/hip ratio Truncal fat (%)/leg fat (%) ratio (DEXA) SubscapularAriceps ratio Waist circumference TABLE 2. 0.0001 0.38 0.51 SD Truncaltatf leg fat ratio* 13.9 15.5 Mean Subscapular/triceps ratio 6.8 5.3 SD Subscaputar sWntokls (mm) 0.04 DEXAf 0.0001 32.5 24.0 Mean Body tat (%) SO Walst/hlp ratio Mean SO Body mass Index (kg/m») 0.23 Mean 79.4 80.3 Mean Age (years) Sex differences in mean age, body fat, and body fat distribution by various measures in 245 women and 140 men from the Rancho Bernardo Study, 1992-1994 * Dual-energy X-ray absorptiometry. t SD, standard deviation; BIA, bioelectric impedance analysis; DEXA, dual-energy X-ray absorptiometry. p value Women Men p value Women Men TABLE 1. Sex Differences in Body Fat Measures o o ou S d d o i- p S88 o 2-2- £ •Si co "g S C\J in odd I to o o p o_ I CO CM 8 2-S-2. co o en •rf r ; U) odd 2-2.S- S I CO co d d in oo in (£)<£> CD odd "D 3 o •o c a 3 II o o ,-. o ,— o O 8.88 o8 d52d 3 Q CVJ pop odd o d d f o o p d o o co o o o p p p odo co co CVJ oo N U) (O i - o o o o o o o o 3 T- 8 8S8S o o o o o Socq N m (vi to <o cJ d d d d d p cvi p odd S CO O P "! odd 8 (M r r IO CM 0 0 o d d s o S CO 3 < o ! • If — 3 D 5. 3. CO it _U 3 00 Am J Epidemiol QZ Vol. 143, No. 9, 1996 901 Table 4 shows the sex-specific, adjusted correlations between the waist/hip ratio and the other measures of obesity and body fat distribution dichotomized by age. In the 65- to 79-year-old group, significant correlations were seen for both men and women between the waist/hip ratio and most measures of obesity and body fat distribution. However, in the group aged 80 years and older, the waist/hip ratio was not associated with any other measurement method, except for a significant skinfold-waist/hip ratio association in the oldest women. Table 5 shows the age- and sex-specific correlations between the waist circumference and the other measures of obesity and body fat distribution. As with the waist/hip ratio, in the 65- to 79-year-old group, significant correlations were seen for both men and women between the waist circumference and most measures of obesity and body fat distribution. In contrast to the waist/hip ratio, the association between waist circumference and the other measures of body fat distribution was significant in both the younger and older age groups. To exclude possible confounding effects by height loss with aging, the age-adjusted correlations were compared between each measurement technique of obesity and the body mass index calculated using height from the 1992-1994 visit and the body mass index using height from the 1972-1974 visit. Although women had lost more height than had men between baseline (1972-1974) and follow-up (19921994) visits (an average loss of 3.7 cm and 2.7 cm, respectively; p — 0.0002), in women the correlations between measures of body fat and body fat distribution did not differ between the two methods of calculating body mass index. In contrast, in men the correlation between body mass index and both dual-energy X-ray absorptiometry and bioelectric impedance analysis decreased, and the correlation between the truncal fat/leg fat ratio and skinfold ratio and body mass index increased, when height from the 1972-1974 visit was used in the body mass index calculation. The correlation between body mass index and waist circumference did not differ between the two methods of calculating body mass index (data not shown). The percentage of concordance among tertiles for different .methods of estimating obesity is shown in figure 1. For both sexes, the greatest agreement was between bioelectric impedance analysis and dualenergy X-ray absorptiometry (66 percent for men; 75 percent for women). The smallest concordance rate was found for the dual-energy X-ray absorptiometry and skinfolds (subscapular: 47 percent for men, 53 percent for women; triceps: 47 percent for men, 54 902 Goodman-Gruen and Barrett-Connor TABLE 4. Correlation coefficients between walst/hip ratio and measures of total body fat and body fat distribution for men and women stratified by age, Rancho Bernardo Study, 1992-1994 Men 65-79 years (n» 64) Body mass Index Bioelectric impedance analysis Dual-energy X-ray absorptlometry Subscapular skinfotds Triceps skinfolds Truncal tat (%)/leg tat (%) ratio Subscapular sklnfotd/trtceps skinfcrtd ratio Women 280 years (n=76) 0.35 (0.002)' 0.45(0.0001) 0.46(0.0001) 0.50(0.0001) 0.27 (0.02) 0.44(0.0001) -0.03(0.81) 0.02 (0.85) 0.005 (0.97) 0.08 (0.52) 0.06 (0.63) 0.05 (0.66) 0.12(0.27) 0.03 (0.84) 65-79 years (n=122) 280 years (0-123) 0.23 (0.006) 0.15 (0.07) 0.17(0.05) 0.30 (0.0003) 0.16(0.06) 0.26 (0.002) 0.18 (0.06) 0.16 (0.10) 0.10 (0.30) 0.32 (0.0006) 0.26 (0.006) 0.13(0.19) 0.24 (0.003) 0.19 (0.05) * Numbers in parentheses, p value. TABLE 5. Correlation coefficients between waist circumference and measures of total body fat and body fat distribution for men and women stratified by age, Rancho Bernardo Study, 1992-1994 Men 65-79 years (n»64) 0.87(0.0001)* Body mass index 0.74(0.0001) Bioelectric impedance analysis Dual-energy X-ray absorptlometry 0.78(0.0001) 0.67(0.0001) Subscapular skinfolds 0.61 (0.0001) Triceps skinfolds 0.52(0.0001) Waist/hip ratio 0.73(0.0001) Truncal fat (%)/leg tat (%) ratio Subscapular skJnfokl/triceps skinfoW ratio -0.18(0.19) Women 280 years (n=76) 65-79 years (n=122) 280 years (r>=123) 0.86(0.0001) 0.56(0.0001) 0.76(0.0001) 0.57(0.0001) 0.57(0.0001) 0.32 (0.008) 0.69(0.0001) 0.82(0.0001) 0.55(0.0001) 0.64(0.0001) 0.66(0.0001) 0.51 (0.0001) 0.62(0.0001) 0.75(0.0001) 0.79 (0.0001) 0.65(0.0001) 0.61 (0.0001) 0.68(0.0001) 0.66(0.0001) 0.51 (0.0001) 0.68 (0.005) 0.37(0.0001) 0.27(0.0001) -0.24 (0.05) * Numbers in parentheses, p value. percent for women). For all comparisons but one, the concordance rate was greater in women than men. The percentage of concordance among tertiles for different methods of estimating upper body fat distribution is shown in figure 2. Women were more concordant than were men for the waist/hip ratio-skinfold ratio, skinfold ratio-dual-energy X-ray absorptiometry ratio, waist/hip ratio-waist circumference, skinfold ratio-waist circumference, and dual-energy X-ray absorptiometry ratio-waist circumference comparisons; men were more concordant than were women for the waist/hip ratio-dual-energy X-ray absorptiometry association. The range of concordance rates was narrower in women (42-56 percent) than in men (28-50 percent). DISCUSSION In this cohort of community-dwelling, ambulatory, elderly Caucasians, the average levels of obesity and upper body obesity in men were similar to national values and those of other community-based studies, while the women were thinner than women reported in the literature (26-28). All measurement techniques (waist circumference, waist/hip ratio, subscapular/ triceps ratio, and the dual-energy X-ray absorptiometry truncal fat/leg fat ratio) confirmed that upper body obesity is more common among men than women even in old age (29). In accord with a previous report (17), women had a greater percentage of leg fat (dualenergy X-ray absorptiometry) and percentage of truncal fat (dual-energy X-ray absorptiometry) than had men. Although obesity estimated from the body mass index was greater among men than women, the percentage of body fat estimated from either bioelectric impedance analysis or dual-energy X-ray absorptiometry was greater among women than men. This discrepancy is consistent with the literature and has been explained by the greater lean body mass among men influencing the body mass index calculation (30). Significant correlations were found among obesity measures, including body mass index, bioelectric impedance analysis, dual-energy X-ray absorptiometry, and subscapular and triceps skinfolds, for both men and women. These results are in agreement with the literature, which has found strong correlations between skinfolds and both bioelectric impedance analysis and dual-energy X-ray absorptiometry measureAm J Epidemiol Vol. 143, No. 9, 1996 Sex Differences in Body Fat Measures BMI BIA BMI BMI SSF DEXA BMI TSF 903 SSF TSF FIGURE 1. Percentage of concordance among tertiles for different measurement estimations of obesity for men (•) and women (•), Rancho Bernardo Study, 1992-1994. BMI, body mass index; BIA, bioelectric impedance analysis; DEXA, dual-energy X-ray absorptiometry; SSF, subscapular skinfold; TSF, triceps skinfold. WHR SFR WHR WHR SFR SFR DEXA waist DEXA waist DEXA waist FIGURE 2. Percentage of concordance among tertiles for different measurement estimations of upper body fat distribution for men (•) and women (Q). Rancho Bernardo Study, 1992-1994. WHR, waist/hip ratio; SFR, subscapularAriceps skinfold ratio; DEXA, dual-energy X-ray absorptiometry; waist, waist circumference. ments (14, 15) and between the body mass index and bioelectric impedance analysis (16). Previous studies have found fairly strong correlations between the waist circumference and total body fat, subcutaneous abdominal fat, and intraabdominal fat derived from computed tomography (23, 24), suggesting that the waist circumference is an integrated Am J Epidemiol Vol. 143, No. 9, 1996 estimate of obesity and fat distribution. In Rancho Bernardo men and women, there was a significantly stronger correlation between the waist circumference and the obesity measures than between the waist circumference and waist/hip ratio. All measures of body fat distribution were correlated with each other in women. In contrast, the waist 904 Goodman-Gruen and Barrett-Connor circumference in men was strongly correlated with the dual-energy X-ray absorptiometry ratio and the skinfold ratio, but the waist/hip ratio and dual-energy X-ray absorptiometry ratio were weakly correlated, suggesting that the waist circumference may be a more useful anthropometric measure of upper body obesity than the waist/hip ratio in men 65 years and older. This is in agreement with several small studies of young adults (31-34). The strong correlation between the waist circumference and most other measures of obesity and body fat distribution was seen in both men and women and was present in those whose age was greater than 80 years. It is difficult to determine whedier the higher correlation between waist circumference and the dual-energy X-ray absorptiometry ratio was due to subcutaneous fat or intraabdominal fat, since both measure both components of abdominal fat (33). In this cohort, the waist/hip ratio and the body mass index were significantly correlated only in women. This sex differential was not explained by age differences (see table 1) or height loss; the association between the waist/hip ratio and body mass index was still absent in men when the body mass index was calculated using height from a visit 20 years earlier. Although a smaller range of waist/hip ratio may explain the absent association in men (range for men = 0.85-1.11; range for women = 0.72-1.07), it is equally plausible that relatively lean old men have androgen deficiency-driven loss of lean body mass coupled with upper body obesity (35). It has been suggested that a decrease in skin elasticity with increasing age could lead to an underestimation of total body fat by skinfold measurement (20), but skinfold measurements correlated quite well with the body mass index (rs > 0.67; p = 0.0001) in this older population. Measurement of body fat by bioelectric impedance analysis, a technique based on the principle that body fluids act as electrical conductors and cell membranes act as electrical capacitors (36, 37), may be influenced by age-related changes in physiology, such as alterations in hydration or bone mineral content (21). Dual-energy X-ray absorptiometry assumes a constant and fixed hydration of lean body mass (38, 39), a property which is sometimes absent among the very elderly (40). Nevertheless, in this healthy elderly cohort, both bioelectric impedance analysis and dual-energy X-ray absorptiometry measurements were strongly associated with all other measures of obesity. Height loss, kyphosis, and relaxation of the abdominal musculature could lead to a larger waist/hip ratio and waist circumference secondary to abdominal protuberance without central obesity. This may be why an association between the waist/hip ratio and all measures of obesity and body fat distribution was present in the younger (65-79 years) but not in the older (2:80 years) men, but, if this is so, it is surprising that the age difference was not more dramatic in women. It is possible that this effect is not seen in these Rancho Bernardo women because they are relatively lean. The similarly of correlations between the waist circumference and most other measures of obesity and fat distribution stratified by age group argues against this possibility. This study did not evaluate the validity of measurement methods, but instead it compared the concordance of various methods of estimating obesity and body fat distribution and quantitated the potential for differential classification. For both men and women, the comparisons that included skinfold measurements had the lowest rate of concordance, with greater than 50 percent of observations potentially classified into discordant tertiles. Although the dual-energy X-ray absorptiometry to bioelectric impedance analysis comparisons had the least discordance for both sexes, between 25 and 34 percent of observations were differentially classified. A small effect of obesity on a given outcome could easily be obscured by this among variation in categorical classification. Measures of body fat distribution showed even greater rates of discordance than did the obesity measures for both sexes. This suggests that the chance of missing an effect of central obesity would be even larger. It is also possible that the measurement methods estimate different types of body fat distribution (26) and would not be expected to classify observations into concordant categories. Although the body mass index has been criticized for its lack of ability to separate the weight of fat from the fat-free mass (41, 42), this method has been demonstrated to be relatively insensitive to intra- or interobserver errors (43). In this study, this inexpensive and readily obtainable measure was highly correlated with obesity by bioelectric impedance analysis or dualenergy X-ray absorptiometry, suggesting it is an adequate surrogate for the percentage of body fat in men and women for use in epidemiologic research. Although skinfold measures were also highly correlated with the other measures of body fat, the poorer interobserver reliability (44) decreases their usefulness and, as shown here, the potential for discordant classification is greatest with this measurement technique. The advantage of dual-energy X-ray absorptiometry versus bioelectric impedance analysis for the estimation of fat mass is unclear. Dual-energy X-ray absorptiometry is more expensive and involves a small amount of radiation. Bioelectric impedance analysis is less expensive, does not involve radiation, and may be Am J Epidemiol Vol. 143, No. 9, 1996 Sex Differences in Body Fat Measures used at the bedside in nonambulatory patients (36). Both methods are noninvasive, rapid, and simple to use. However, two small studies comparing the use of dual-energy X-ray absorptiometry and bioelectric impedance analysis for body fat estimation have found conflicting results (45, 46), and we are aware of no other large studies of elderly persons. The association among measures of body fat distribution was weaker than that among obesity measures, varied more by age, and was sex specific in the oldest subjects. The waist/hip ratio was clearly an inadequate method of assessing upper body obesity in men and women over 80 years old. These data suggest that the waist circumference could be the preferred anthropometric measure of body fat distribution, especially in the very old. It is necessary to evaluate the total body fat, abdominal obesity, and abdominal visceral fat contribution to the waist circumference measure. Although one small study in men and women aged <50 years found that waist circumference was consistently and strongly associated with several metabolic variables (31), further studies are needed in the elderly to compare the association between the various measurement methods and outcomes of interest. The "best" anthropometric measure may be dependent on the risk factor of interest. At the present time, several measures should be used. ACKNOWLEDGMENTS This research was supported by National Institute of Diabetes and Digestive and Kidney Diseases grant DK 31801 and Weight Watchers Foundation grant WWF93148. Dr. Goodman-Gruen is supported by PSA /AB0035307. REFERENCES 1. Thompson CJ, Ryu JE, Crave TE, et al. Central adipose distribution is related to coronary atherosclerosis. Arterioscler Thromb 1991;11:327-33. 2. Larsson B, Svardsudd K, Welin L, et al. Abdominal adipose tissue distribution, obesity, and risk of cardiovascular disease and death: 13 year follow-up of participants in the study of men bom in 1913. Br Med J 1984;288:1401-4. 3. Ducimetiere P, Richard J, Cambien F. The pattern of subcutaneous fat distribution in middle-aged men and the risk of coronary heart disease: the Paris Prospective Study. Int J Obes 1986;10:229-40. 4. Vague J. The degree of masculine differentiation of obesities: a fact for determining predisposition to diabetes, atherosclerosis, gout, and uric calculous disease. Am J Clin Nutr 1956; 18:478-86. 5. Kissebah AH, Vydelingum N, Murray R, et al. Relation of body fat distribution to metabolic complications of obesity. J Clin Endocrinol Metab 1982;54:254-60. 6. Haffner SM, Diehl AK, Stem MP, et al. Central adiposity and gallbladder disease in Mexican Americans. Am J Epidemiol Am J Epidemiol Vol. 143, No. 9, 1996 905 1989:129:587-95. 7. Ballard-Barbash R, Schatzkin A, Carter CL, et al. Body fat distribution and breast cancer in the Framingham Study. J Natl Cancer Inst 1990;82:286-90. 8. Lapidus L, Helgesson O, Merck C, et al. Adipose tissue distribution and female carcinomas: a 12 year follow-up of participants in the population study of women in Gothenburg, Sweden. Int J Obes 1988; 12:361-7. 9. Maggino T, Pirrone F, Velluti F, et al. The role of the endocrine factors and obesity in hormone-dependent gynecological neoplasias. Eur J Gynaecol Oncol 1993;14:119-26. 10. Folsom AR, Kaye SA, Prineas RJ, et al. Increased incidence of carcinoma of the breast associated with abdominal adiposity in postmenopausal women. Am J Epidemiol 1990;131:794-803. 11. Weits T, Van der Beek EF, Wedel M, et al. Computed tomography measurements of abdominal fat deposition in relation to anthropometry. Int J Obes 1988; 12:217-25. 12. Kissebah AH, Evans DJ, Peiris A, et al. Endocrine characteristics in regional obesities: role of sex steroids. In: Vague J, et al., eds. Metabolic complications of human obesities: proceedings of the 6th international symposium, Marseille, 30 May-1 June 1985. New York: Elsevier Science Publishing Co, 1985: 115. 13. Fujioka S, Matsuzawa Y, Tokunaga K, et al. Contribution of intra-abdominal fat accumulation to the impairment of glucose and lipid metabolism in human obesity. Metabolism 1987;36: 54-9. 14. Fuller NJ, Elia M. Potential use of bioelectrical impedance of the "whole body" and of body segments for the assessment of body composition: comparison with densitometry and anthropometry. Eur J Clin Nutr 1989;43:779-91. 15. Stewart SP, Bramley PN, Heighton R, et al. Estimation of body composition from bioelectrical impedance of body segments: comparison from bioelectrical impedance of body segments: comparison with dual-energy X-ray absorptiometry. Br J Nutr 1993;69:645-55. 16. McNeill G, Fowler PAZ, Maughan RJ, et al. Body fat in lean and overweight women estimated by six methods. Br J Nutr 1991;65:95-103. 17. Fuller NJ, Laskey MA, Elia M. Assessment of the composition of major body regions by dual-energy X-ray absorptiometry, with special reference to limb muscle mass. Clin Physiol 1992; 12:253-66. 18. Steen B. Body composition and aging. Nutr Rev 1988;46: 45-51. 19. Deurenberg P, van der Kooij K, Evers P, et al. Assessment of body composition by bioelectrical impedance in a population aged > 60 y. Am J Clin Nutr 1990;51:3-6. 20. Kuczmarcki RJ. Need for body composition information in elderly subjects. Am J Clin Nutr 1989;50:l 150-7. 21. Lohman TG. Skinfolds and body density and their relation to body fatness: a review. Hum Biol 1981;53:181-225. 22. Wingard DL, Sinsheimer P, Barrett-Connor E, et al. Community-based study of prevalence of NIDDM in older adults. Diabetes Care 1990;13:3-8. 23. Borkan G ^ Hults DE. Relationships between computed tomography tissue areas, thicknesses, and total body composition. Ann Hum Biol 1983; 10:537-46. 24. Ross R, Shaw KD, Rissanen J, et al. Sex differences in lean and adipose tissue distribution by magnetic resonance imaging: anthropometric relationships. Am J Clin Nutr 1994; 59:277-85. 25. SAS Institute, Inc. SAS/STAT user's guide, version 6 ed. Cary, NC: SAS Institute, Inc, 1989. 26. Najjar MF, Rowland M. Anthropometric reference data and prevalence of overweight Vital Health Stat [11] 1987;238: 1-73. 27. Wellens R, Chumlea WC, Guo S, et al. Body composition in white adults by dual-energy X-ray absorptiometry, densitometry, and total body water. Am J Clin Nutr 1994;59:547-55. 28. Haffner SM, Stem MP, Hazuda HP, et al. Do upper-body and centralized adiposity measure different aspects of regional 906 Goodman-Gruen and Barrett-Connor body-fat distribution? Diabetes 1987;36:43-51. 29. Dumin JVGA, Womersley J. Body fat assessed from total body density and its estimation from skinfold thickness: measurements on 481 men and women aged from 16 to 72 years. Br J Nutr 1974;32:77-97. 30. Ley CJ, Lees B, Stevenson JC. Sex- and menopause-associated changes in body-fat distribution. Am J Clin Nutr 1992; 55:950-4. 31. Poulit M, Despres J, Lemieux S, et al. Waist circumference and abdominal sagittal diameter best simple anthropometric indexes of abdominal visceral adipose tissue accumulation and related cardiovascular risk in men and women. Am J Cardiol 1994;73:460-8. 32. Ferland M, Despres JP, Tremblay A, et al. Assessment of adipose tissue distribution by computed axial tomography in obese women: association with body density and anthropometric measurements. Br J Nutr 1989;61:139-48. 33. Despres JP, Prud'homme D, Pouliot MC, et al. Estimation of deep abdominal adipose-tissue accumulation from simple anthropometric measurements in men. Am J Clin Nutr 1991;54: 471-7. 34. Seidell JC, Oosterlee A, Deurenberg P, et al. Abdominal fat depots measured with computed tomography: effects of degree of obesity, sex, and age. Eur J Clin Nutr 1988;42:805-15. 35. Khaw K-T, Barrett-Connor E. Lower endogenous androgens predict central adiposity in men. Ann Epidemiol 1992;2: 675-82. 36. Lukaski HC, Bolonchuk WW, Hall CB, et al. Validation of tetrapolar bioelectrical impedance method to assess human body composition. J Appl Physiol 1986;60:1327-32. 37. Wedgewood RJ. Inconstancy of the lean body mass. Ann N Y AcadSci 1%3;110:141-52. 38. Roubenoff R, Kehayias JJ. The meaning and measurement of lean body mass. Nutr Rev 1991;46:163-75. 39. Heymsfield SB, Waki M. Body composition in humans: advances in the development of multicompartment chemical models. Nutr Rev 1991;49:97-108. 40. Forbes GL. Human body composition: growth, aging, nutrition, and activity. New York: Springer-Verlag, 1987. 41. Pollock ML, Jackson AS. Research progress in validation of clinical methods of assessing body composition. Med Sci Sports Exerc 1984;16:6O6-13. 42. Gam SM, Leonard WR, Hawthorne V. Reply to letter by Miccozi and Albanes. (Letter). Am J Clin Nutr 1987;46:377. 43. Deurenberg P, Weststrate JA, Seidell JC. Body mass index as a measure of body fatness: age-and sex-specific prediction formulas. Br J Nutr 1991;65:105-14. 44. Hassager C, Gotfredson A, Jensen J, et al. Prediction of body composition by age, height, weight, and skinfold thickness in normal adults. Metabolism 1986;35:1081-4. 45. Valero MA, Leon-Sanz M, Gomez I, et al. A comparison between double-photon absorptiometry (DEXA), impedance, and anthropometry in the study of the body composition of obese subjects. Nutr Hosp 1994;9:12-17. 46. Pritchard JE, Nowson CA, Strauss BJ, et al. Evaluation of dual energy X-ray absorptiometry as a method of measurement of body fat. Eur J Clin Nutr 1993;47:216-28. Am J Epidemiol Vol. 143, No. 9, 1996
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