上海市城乡60～69岁老年人BMI调查分析

采用随机整群取样的方法 ,对上海市 2 0个区、县 ,年龄在 6 0～ 6 9岁 (男女 )的 30 2 9名居民的体质现状进行调查。结果表明 ,上海市男子BMI(体重指数 )平均为 2 3 5 ,女子平均为 2 4 5 ;其中城市男、女BMI分别显著高于乡村同性别男、女 (P <0 0 5 ) ;BMI作为反映身体充实度和肥胖度的指标与血压、体脂率、皮脂厚度等有密切关系 ,提示BMI对于评定体质、预防和诊断心脑血管疾病有重要意义。     

空气置换法、生物电阻抗法与皮褶厚度法测试身体成分的比较研究

目的:探讨生物电阻抗法与皮褶厚度法测定身体成分的结果与空气置换法(BOD-POD)结果的相关性。方法:随机选取20~59岁上海市居民697名(男471名,女226名),以空气置换法测定的身体成分值作为标准,将生物电阻抗法(OMRON与TANITA)和皮褶厚度法(测量部位为上臂部和肩胛部)的结果与之进行单因素方差分析和相关性分析。结果:皮褶厚度法测试结果与空气置换法结果相关性最低;生物电阻抗法中,TANITA测试结果与空气置换法结果相关性最高,OMRON相关性较低。结果提示:生物电阻抗法中TANI-TA测量的可靠性相对较高,皮褶厚度法(测量部位为上臂部和肩胛部)测量的可靠性相对较低。     

野生盘羊与巴什拜羊杂交二代尾部特征分化规律

为了研究野生盘羊与巴什拜羊杂交二代尾部的分化规律,本试验对该群体199只75日龄羔羊进行体重(X1)、体高(X2)、体长(X3)、胸围(X4)、胸深(X5)、胸宽(X6)、管围(X7)、脂臀宽(X8)、脂臀厚(X9)、脂臀长(X10)10个指标的测定,采用K-mean聚类分析依据上述表型数据对群体进行分类,运用单因素方差法比较不同尾型小群体的体尺之间的显著性差异,运用聚类分析探索不同组的体尺之间的内在关系,运用逐步回归方法脂臀宽、脂臀长进行回归方程的建立,结果表明:按尾巴的大小可以分为小尾、中尾、大尾三个组.小尾组的脂臀宽显著小于中尾组(P＜0.05),极显著小于大尾组(P＜0.01);小尾组的脂臀长极显著小于中尾组(P＜0.01),显著小于大尾组(P＜0.05);三个组的体重、体高、胸围等体尺指标之间差异极显著(P＜0.01).三个组的体尺之间存在着不同的相互关系,影响中尾组的主要体尺因素是胸围,影响大尾组的主要体尺因素是胸宽.影响小尾、中尾、大尾组的脂臀长、脂臀宽的体尺因素不同,建立了回归方程,小尾组:f(X8,X10)=(-0.22X1+0.22X4+0.24X6+0.53X10,20.18+0.19X2-0.24X3-0.15X4-0.17X6+0.37X8+0.18X9),中尾组:f(X8,X10)=(0.31X1+0.96X9,0.29X1-0.25X5+0.52X9),大尾组:f(X8,X10)=(-0.35X1-0.65X3+0.97X9,0.59X6).综上,三个组羔羊的体尺形态、尾部特征出现了较大的分化.为野生盘羊杂交二代的脂尾形态变异进行科学的遗传评价,为绵羊群体尾部遗传分化研究提供新的思路和分析方法.     

重庆黑山羊体尺体重指标与胴体净肉率的相关回归分析

采用SAS软件CORR过程对重庆黑山羊成年羊体尺体重指标与胴体净肉率进行相关分析，并以成年体高X1、体斜长X2、胸围X3、胸宽）（4、胸深X5、成年体重X6为自变量，胴体净肉率Y为因变量，采用REG过程BACKwARD（后退法）的多元回归分析方法，构建了估测重庆黑山羊胴体净肉率的最优回归方程：Y=9．9370—0．0109X3—0．2184X4＋0．4914X5。     

肥胖儿童心脏结构和功能特征

目的:评价肥胖儿童心脏结构和功能的特点,旨在评估心脏早期改变的风险性和不良后果。方法:将北京市5所小学的1034名8~9岁儿童(男n=514,女n=520)依照体脂率(BF%)分类标准,男、女各分成体脂率正常组(男n=206,女n=336)、超重组(男n=94,女n=80)、肥胖组(男n=214,女n=104)。对所有受试者进行超声心动图检查,并分性别比较各组心脏结构和功能指标。结果:(1)与体重正常儿童相比,肥胖儿童左心室舒张末期内径(LVIDd)、舒张末期左室后壁厚度(LVPWd)、左心室舒张末期容积(EDV)、左心室质量(LVM)、左心室质量指数(LVMI)、每搏量(SV)、心输出量(CO)均非常显著性增加(P<0.01),但射血分数(EF)、短轴缩短率(FS)无统计学差异(P>0.05)。(2)儿童BF%与主动脉根部内径(AOD)、舒张末期室间隔厚度(IVSd)、LVIDd、舒张末期左室后壁厚度(LVPWd)、EDV、LVM、LVMI、CO、SV呈正相关(P<0.01)。(3)8~9岁超重肥胖儿童心脏向心性肥厚的比例为6.1%。与左室正常构型儿童相比,心脏向心性肥厚儿童形态指标BF、BF%、BMI和心脏指标LVM、LVMI、相对室壁厚度(RWT)非常显著性增加(P<0.01),CO显著性增加(P<0.05),SV显著性减小(P<0.05)。结论:以体脂率作为肥胖筛查指标发现,8~9岁肥胖儿童发生心脏重构和功能改变,包括左心室扩大、室壁增厚、左室质量增加、左室肥厚及每搏量、心输出量增加,且随肥胖程度加重,向心性肥厚发生率增高。     

基于Fisher判别构建CT引导下肺穿刺活检并发症的预测模型

【摘要】　目的?探讨基于机器学习算法的Fisher判别,初步构建CT引导下经皮肺穿刺活检（PTNB）并发症的预测模型。方法　回顾性分析227例CT 引导下PTNB的肺部肿块或结节,用前187例筛选并发症危险因素,纳入有统计学意义的指标,构建Fisher判别式,然后采用交叉核实法和后40例评估预测模型。结果?187例中出现并发症48例（25.7%）,主要为气胸29例（15.5%）和肺出血26例（13.9%）,其中包含有气胸合并肺出血7例（3.74%）。并发症的危险因素有病灶大小、合并肺气肿、病灶中心与膈面短径、穿刺深度、穿刺角度和穿刺次数,并设参数值:X1=病灶大小（0＞2 cm;1≤2 cm）、X2=合并肺气肿等（0=是;1=否）、X3=病灶中心距离膈面短径（0＞3 cm;1≤3 cm）、X4=穿刺深度（0≤5 cm;1＞5 cm）、X5=穿刺胸膜角度（0≤50°;1＞50°）、X6=穿刺时间（0≤20 min;1＞20 min）、X7=穿刺次数（0=1次;1≥2次）。所得并发症的非标准化Fisher判别公式为Z = 1.531X1+ 1.531X2+ 2.123X3 + 1.390X4 + 1.564X5 + 0.903X6 + 1.716X7 - 3.114,判别界值为0.514。预测模型的交叉核实法和40例实践测评的误判率分别是10.2%和7.5%,准确率为89.8%和92.5%,敏感度为85.4%和88.9%,特异度为91.4%和93.5%。 结论?Fisher判别模型可以用于辅助临床预测CT引导下PTNB并发症的发生概率。     

进驻不同海拔高度一年的青年皮褶厚度与体脂量调查

目的：为调查研究高原特殊环境时人体褶厚度与体肥量的影响，我们对进驻喀喇昆仑山海拔1400m、3700m、4300m和5400m一年的177名青年官兵进行了有关测量；方法：测定右侧肱三头肌、肩胛和髂部的皮褶厚度，同时测定上臂围，计算体脂量。经方差分析q检验，除髂部皮褶厚度4与3组、3与2组、2与1组差别有显著性（P＜0．05），其余各组间差别均有高度显著性（P＜0．01）；结果：青年人进驻不同高海拔地区一年后，皮褶厚度、上臂围、上臂肌围及体脂量均随海拔的升高而递减，此征象与高原缺氧及寒冷有直接关系，与营养物质供应不足有一定关系；结论：建议进入高原人群应尽量减少活动量以降低消耗，同时应增加脂肪及蛋白质等营养物质的摄入，以预防和减轻此种征象发生。     

某军校医学生身体发育与膳食营养状况调查

为科学地指导学员的膳食营养卫生和合理安排训练、学习 ,以保障学员优质、高效地完成学业 ,并为将来以强健的体魄服务于部队作准备 ,我们对某军校 12 9名男性医学生的体质、营养和健康状况进行了测量和评价。1　对象和方法1 1　调查对象　某军校男性医学生 12 9名 ,年龄2 0～ 2 3岁 ,入伍入学 4年。1 2　调查内容与测量方法　调查身体发育指标包括身高、体重、胸围、胸围差、上臂围、上臂肌围、三头肌部皮褶厚度、肩胛下部皮褶厚度 ,并计算派生身体指数 ,如体脂含量、比体重、比胸围、维尔维克指数和体质指数 (ＢＭＩ)。测量严格按照中华人…     

体重指数与体脂率指标评价肥胖:基于诊断试验的比较研究

目的:通过诊断试验评价体重指数(BMI)诊断肥胖的价值,并比较BMI与体脂率两种指标对肥胖相关疾病高血压、动脉硬化的预测价值,为肥胖的评价研究及指标应用的适应性提供参考。方法:采用分层整群方法,以3149名江苏省社区自然人群作为研究对象进行回顾性研究,同时测量BMI和体脂率。体脂率采用WHO和ASBP(美国减肥专科医学会)两种标准评价,筛查高血压和动脉硬化作为相关疾病。以体脂率定义的肥胖为效标,采用诊断试验的受试者工作特征(ROC)曲线评估BMI的诊断价值,并分析和比较BMI与体脂率两种指标对肥胖相关疾病的预测价值。结果:(1)BMI对肥胖(以体脂率定义)的诊断价值:女性的ROC曲线下面积为0.949(WHO标准)、0.906(ASBP标准),高于男性的0.864(WHO、ASBP两标准相同);不同年龄组中,20~39岁青年人群的曲线下面积最高;上述非参数检验P<0.01。(2)根据ROC曲线,与原切点相比,BMI调整切点为男26 kg/m~2、女25 kg/m~2(体脂率WHO标准)或男26 kg/m~2、女23 kg/m~2(体脂率ASBP标准),预测肥胖的特异度从90%~99%下降到76%~87%,但灵敏度从17%~43%大幅度增加到78%~89%,总体精确程度大幅增加;调整切点后,肥胖检出率的一致性检验Kappa系数男性从0.475提高到0.537,女性从0.115提高到0.655。当体脂率为WHO标准时,BMI预测肥胖的灵敏度、特异度均比ASBP标准更高。(3)BMI预测高血压、动脉硬化的ROC曲线下面积分别为男性0.688(95%CI:0.656~0.720)、0.613(95%CI:0.586~0.642),女性0.745(95%CI:0.708~0.782)、0.692(95%CI:0.659~0.726);体脂率预测高血压、动脉硬化的ROC曲线下面积分别为男性0.687(95%CI:0.655~0.718)、0.635(95%CI:0.608~0.663),女性0.723(95%CI:0.681~0.764)、0.683(95%CI:0.648~0.718);上述P<0.01。(4)男性体脂率对动脉硬化的预测价值(曲线下面积)高于BMI(u=2.05,P<0.05),女性无差异(u=0.75,P>0.05);男、女体脂率和BMI对高血压的预测价值均无差异(u=0.92、1.26,P>0.05)。结论:(1)大样本研究时,BMI对肥胖(体脂率评价)有较高的诊断价值,尤其是女性、青年人群;BMI指标具备可替代性,但需要考虑切点的调整。(2)BMI和体脂率两种指标均可有效地预测人群高血压、动脉硬化风险,在女性和青年人中应用价值更大。(3)参照中国肥胖问题工作组的BMI标准,体脂率WHO标准比ASBP标准更适合中国人群评价肥胖。     

七例疑似受照的医疗工作人员染色体畸变分析

目的 通过对怀疑受到电离辐射照射的医疗工作人员进行外周血淋巴细胞染色体畸变分析,探讨可能的受影响因素.方法 某医院检验科工作人员7名,男性1名,女性6名.他们工作室的楼下是医院CT室,工作室和CT室间的楼板为厚度约6 cm的普通预制板.采用常规法,对7名人员外周血淋巴细胞染色体畸变进行分析.结果 4例女性工作人员外周血中检测到双着丝粒体(dic),dic率为0.40％ ～ 1.60％,明显高于dic的自发率(0.03％,x2=36.79,P＜0.05);在所有工作人员中均检测到易位畸变,易位率在0.33％～1.20％之间,明显高于易位的自发率(0.01％,X2=42.90,P＜0.05).结论 推测这些工作人员受到过量电离辐射照射.     

Assessment of body composition in ballett dancers: correlation among anthropometric measurements, bio-electrical impedance analysis, and dual-energy X-ray absorptiometry

Ballet dancers tend to restrict caloric intake and/or to use inappropriate compensatory behavior (e.g. self-induced vomiting, use of laxatives) in order to maintain a low body weight. Therefore careful assessment of body composition and determination of minimal body weight for maintenance of a desirable percent fat may reduce unnecessary weight loss and decrease the use of a potentially dangerous weight-control behavior. The purpose of this study was to determine body fat in a homogenous group of 59 adolescent, female ballet dancers (age range 14-17 y). Body composition was assessed using three different techniques: skinfold thickness measurements, bio-electrical impedance analysis (BIA), and dual energy X-ray absorptiometry (DXA). Percent body fat and the sum of skinfold thickness were calculated from measurements of four sites (i.e. triceps, biceps, subscapular, and suprailiac). All eumenorrheic dancers were examined in the early follicular phase of the menstrual cycle whereas amenorrheic dancers (or pre-menarcheal) at random. Significant positive correlations were found between skinfold measurements and assessments of body fat by BIA (r=0.48, p<0.001); and between skinfold measurements and assessments of body fat by DXA (r=0.80, p<0.00001). Assessment of body fat by BIA was significantly correlated with assessment of body fat by DXA (r=0.63, p<0.001). The correlation coefficient of percent body fat by skinfolds with DXA (r=0.8, p<0.00001) was significantly higher than the correlation coefficient of body fat by BIA with body fat DXA (p<0.01). In addition the agreement between measurements of body fat by DXA and skinfolds was higher than measurements of body fat by DXA and BIA. This study demonstrates that a simple, inexpensive, field-based method such as skinfold measurements can be successfully used to determine body fat in a homogeneous group of female ballet dancers. This may help to determine a minimal body weight of female dancers based on their percent body fat and as a result may reduce excessive weight loss and prevent the use of a risky weight-reducing behavior.     

Anthropometry and bioelectrical impedance inconsistently predicts fatness in women with regional adiposity.

PURPOSE: This investigation examined the accuracy of several generalizable anthropometric (ANTHRO) and bioelectrical impedance (BIA) regression equations to estimate % body fat (%BF) in women with either upper body (UB) or lower body (LB) fat distribution patterns. METHODS: Thirty-six premenopausal women were individually matched for age (X = 38.6 +/- 6.6 yr), BMI (X = 25.5 +/- 4.2 kg x m(-2)) and %BF (30.3 +/- 8.1%; hydrostatic, [UWW]) and placed by waist to hip ratio (WHR) into two distinct groups: LB (N = 18; WHR < or = 0.73) and UB (N = 18; WHR > or = 0.80). Equations tested were ANTHRO: Jackson et al. (JPW-7 and 3 site), 1980; Durnin and Womersley (DW), 1974; Tran and Weltman (TW), 1989; and Vogel et al. (V), 1988; BIA: Lohman (L), 1992; Gray et al. (G), 1989; and VanLoan and Mayclin (VLM), 1987. Circumference and skinfold measures were made by a trained technician. BIA (Vallhalla, 1990B) measures were taken 4 h postprandially under controlled conditions of water intake and exercise. %BF by UWW (criterion) was not different between groups (UB = 30.8 +/- 8.2%; LB = 29.7 +/- 8%). RESULTS: In the UB group, three of five ANTHRO equations significantly overestimated %BF by approximately 6% (range = 3-8%) as compared with UWW. BIA overestimated %BF in UB by 5% using G and in both groups by about 6% using VLM, whereas L underestimated %BF in LB by about 4%. CONCLUSION: We conclude that ANTHRO and some BIA equations are accurate for predicting %BF in LB fat "shaped" women but are not appropriate for women with primarily abdominal fat patterning.     

Validity of conventional anthropometric techniques for predicting body composition in healthy Chinese adults.

There is little information on the application of generalized prediction equations to ethnic groups other than Europeans and groups of European descent. The purpose of this study was to crossvalidate conventional equations on a group of 56 Chinese adults. Body density was assessed by underwater weighing and also predicted by equations which use a combination of selected skinfolds-biceps, triceps, pectoral, subscapular, abdominal, suprailiac, thigh and calf. There were significant correlations (P < 0.01) between the various methods of predicting percentage fat. However, analysis of variance revealed significant differences (P < 0.01) between mean values. In the men, the Jackson and Pollock equation underestimated, and the Durnin and Womersley equation overestimated, the percentage fat predicted by underwater weighing. The best predictor site in this group was the medial calf skinfold (r = 0.81), which is not included in either equation. In the women, the best predictor sites were the triceps, suprailiac and thigh. As these sites are also used in the Jackson et al. equation, it is not surprising that there was no difference between the prediction of percentage fat by this equation and underwent weight. It is concluded that the Durnin and Womersley and Jackson and Pollock equations tend to overestimate and underestimate, respectively, the percentage fat in Chinese men. Alternative equations which use the calf skinfold may be more appropriate for this ethnic group. In Chinese women, there appears to be good agreement between Jackson and Pollock and hydrodensitometric estimations of percentage fat.     

Evaluation of a portable ultrasonoscope in assessing the body composition of college-age women

Subcutaneous fat tissue thickness was measured ultrasonically on 66 females between the ages of 18-26 yr by using a portable ultrasonoscope and by skinfold caliper. Measurements were obtained at seven sites: triceps, biceps, subscapula, suprailiac, abdomen, calf, and thigh. In addition, body density (Db) was measured by the underwater weighing technique. Mean Db was 1.0458 gm X cc-1, corresponding to a percent fat of 22.8% (range = 11.3-35.8%). Correlations between ultrasonic and skinfold measurements were significant (P less than 0.05) at all sites. The highest was noted at the suprailiac (r = 0.86) and the lowest was at the thigh (r = 0.75). Test-retest reliability for ultrasonic measurements, taken on separate days, ranged from r = 0.87 at the triceps to r = 0.99 at the biceps. Four significant regression equations for predicting Db were developed, two utilized skinfolds and two utilized ultrasonic measurements of tissue thickness. The equation with the greatest multiple correlation (R = 0.80) utilized the suprailiac, subscapula, and thigh skinfolds. The equation using ultrasonic measurements taken at the suprailiac and thigh sites demonstrated a multiple correlation of R = 0.78. This instrument is a reliable, portable, and non-invasive alternative to the skinfold caliper in obtaining field measurements of body composition.     

男大学生的身体成份测定及其脂肪百分比推算公式的研究

<正> 身体成份(体脂肪和去脂体重)的测定,对于评价人体健康、体质、体育锻炼效果、营养状况以及运动员的训练水平和选材诸方面具有重要意义。但由于测定方法上的限制,日前,难以推广应用。虽有不少学者研究出     

Association of swim distance and age with body composition in adult female swimmers

PURPOSE: The purpose of this investigation was to examine the relationship between average weekly swimming distance and age with body composition in adult female endurance swimmers. METHODS: Thirty-five women, aged 21-73 yr, volunteered to participate. Weekly swimming distance was determined from a self-reported exercise log. Body composition was estimated by dual-energy x-ray absorptiometry (DXA), waist circumference, abdominal sagittal diameter, and skinfold thickness measures. Associations between swimming distance and age with body composition were examined using regression analysis. RESULTS: Swimming distance had shared variances as follows: 23% with percent body fat, 26% with waist circumference, 20% with abdominal sagittal diameter, and 20%, 24%, and 22% with subscapular, suprailiac, and triceps skinfolds, respectively. Abdominal sagittal diameter was the only adiposity measure demonstrating a stronger relationship with age (R2 = 0.29, P = 0.00) than with swimming distance (R2 = 0.20, P = 0.03). Bone mineral content was linearly related to swimming distance and age having a negative association with age (r2 = 0.18, P = 0.01) and a positive one with swimming distance (r2 = 0.12, P = 0.05). In addition, there was a negative linear association observed between swimmer age and bone mineral density (r2 = 0.12, P = 0.05). CONCLUSION: In these female adults, endurance swimming was mildly associated with body adiposity. Age was not associated with body fat mass independently from swimming activity except with that measure reflecting abdominal visceral fat deposits. These data suggest that greater fat mass in female swimmers is more strongly related to lower levels of exercise than to age but that there is an additional influence of age on fat accumulation in the intra-abdominal area of the body.     

The validity of visual estimations of percent body fat in lean males.

The present study compared the validity of visual estimations of percent fat (% fat) in lean males (mean +/- SD = 9.6 +/- 2.3 % fat) to the validity of bioelectrical impedance analysis (BIA) and skinfold equations. Thirty-five Caucasian male volunteers (mean +/- SD = 23 +/- 5 yr; range = 19-40) served as subjects. Visual estimations of % fat were performed by two experienced male raters. The validity (compared to underwater weighing) for each procedure was determined by examining the constant error (CE), standard error of the estimate (SEE), r, and total error (TE). The results indicated that rater 1 (TE = 2.3% fat) could visually estimate % fat as accurately as the skinfold equations (TE = 2.4% fat). However, based on low TE, SEE, and CE values as well as considerable variability (mean difference = 2.7% fat) between the % fat estimates of the two raters, skinfold equations are recommended over visual inspection and BIA (TE = 5.0% fat) for estimating % fat in lean males.     

Validation of near-infrared interactance and skinfold methods for estimating body composition of American Indian women

PURPOSE: This study tested the predictive accuracy of the Jackson et al. skinfold (SKF) equations (sigma7SKF and sigma3SKF), a multi-site near-infrared interactance (NIR) prediction equation, and the Futrex-5000 NMR equation in estimating body composition of American Indian women (N = 151, aged 18-60 yr). METHODS: Criterion body density (Db) was obtained from hydrodensitometry at residual lung volume. RESULTS: Sigma7SKF significantly underestimated Db (P < 0.05). Sigma3SKF and Heyward's NIR equations significantly overestimated Db (P < 0.05). The Futrex-5000 NIR equation significantly underestimated percent of body fat (%BF) (P < 0.05). Prediction errors for SKF and multi-site NIR exceeded 0.0080 g x cc(-1). The SEE for Futrex-5000 was 5.5%BF. Thus, ethnic-specific SKF and NIR equations were developed. For the SKF model, the sigma3SKF (triceps, axilla, and suprailium) and age explained 67.3% of the variance in Db:Db = 1.06198316 -0.00038496(sigma3SKF) -0.00020362(age). Cross-validation analysis yielded r = 0.88, SEE = 0.0068 g x cc(-1), E = 0.0070 g x cc(-1), and no significant difference between predicted and criterion Db. For the NIR model, the hip circumference, sigma2AdeltaOD2 (biceps and chest), FIT index, age, and height explained 73.9% of the variance in Db:Db = 1.0707606 -0.0009865(hip circumference) -0.0369861(sigma2deltaOD2) + 0.0004167(height) + 0.0000866(FIT index) -0.0001894(age). Cross-validation yielded r = 0.85, SEE = 0.0076 g x cc(-1), E = 0.0079 g x cc(-1), and a small, but significant, difference between predicted and criterion Db. CONCLUSIONS: We recommend using the ethnic-specific SKF and NIR equations developed in this study to estimate Db of American Indian women.     

Development of predictive equations for body density of sumo wrestlers using B-mode ultrasound for the determination of subcutaneous fat thickness

OBJECTIVE: To develop an equation for predicting the body density of sumo wrestlers. METHODS: The following were measured: subcutaneous fat thickness measured at nine sites using B-mode ultrasound equipment; circumference at seven sites; hand to leg bioelectrical impedance. The subjects consisted of 24 college sumo wrestlers (mean age 19.7 years, mean body weight 111.2 kg) and 24 matched obese controls (mean age 19.1 years and mean body weight 111.2 kg). In addition, body density was measured by the underwater weighing method, and the percentage of fat was calculated from the measured body density. RESULTS: Linear regression analysis was used to estimate the relation between body density and other variables, and a predictive equation for the body density was derived: y = 1.088-0.00036 x (fat thickness at nine sites) (r(2) = 0.90) for the sumo wrestler group and y = 1.083-0.00033 x (fat thickness at nine sites) (r(2) = 0.91) for the control group. A multiple regression analysis was performed using the body density as the objective variable, and other measured items as the explanatory variables. This was used to derive a predictive equation: y = 1.121-0.00038 x (fat thickness of abdomen)-0.00043 x (circumference of hips)-0.00142 x (fat thickness of triceps) (r(2) = 0.94) for the sumo wrestler group, and y = 1.076-0.00070 x (fat thickness of abdomen)-0.00140 x (fat thickness of tibialis) (r(2) = 0.91) for the control group. The difference between the two equations was due to the difference in body fat distribution. Neither of these predictive equations is applicable to non-overweight non-athletes. CONCLUSION: This is the first predictive equation developed for the body density of sumo wrestlers.