Age-related pattern of body density and body composition of Japanese men and women 18-59 years of age.

Age-related patterns of body size and composition were studied in a cross-sectional sample of Japanese adults 18-59 years of age. Height, weight, the body mass index (BMI), body density (BD), percentage body fat (%Fat), fat mass (FM), fat-free mass (FFM), and the sum of seven skinfold thicknesses (SF) of 288 men and 552 women were considered. Body density was measured by underwater weighing densitometry. Mean values of height, weight, BMI, BD, %Fat, FM, FFM, and SF of males were 169.0 cm, 65.3 kg, 22.8 kg/m(2), 1.0600 g/ml, 17.0%, 11.4 kg, 53.9 kg, and 95.0 mm, respectively, while corresponding values for females were 157.4 cm, 52.9 kg, 21.4 kg/m(2), 1.0420 g/ml, 24.4%, 13.1 kg, 39.7 kg, and 128.2 mm, respectively. Height, BD, and FFM correlated negatively with age in both sexes, while weight, BMI, %Fat, FM, and SF correlated positively with age. The highest BD and the lowest %Fat were observed in males ages 20 to <25 years (G20) and in females 25 to <30 years (G25). The lowest BD and highest %Fat were observed in G50 in both sexes. Correlations among parameters of body size and composition were stable with age in each sex. Height correlated negatively with BMI and %Fat in females, but not in males. In males, FM started to increase between G20 and G25 and continued to increase until G50, while SF and BMI remained stable during this period. In females, FM accumulation started around 30 years of age and continued until G50 and was accompanied by increases in SF and BMI.

Age-related pattern of body density and body composition in Japanese males and females, 11 and 18 years of age.

The age-related pattern of body density and body composition in Japanese males (n = 266) and females (n = 318), 11.00 to 18.99 years of age was studied. Body density (BD) as well as height, body weight, and seven skinfold thicknesses were measured. Percentage fat (%Fat) was calculated using the age- and sex-specific equation of Lohman. Fat mass (FM), fat-free mass (FFM), and the body mass index (BMI) were calculated. The trend for BD in males was lowest at 11 years (1.0530 g/ml) and increased to 1.0695 g/ml at 14 years, and then decreased slightly at 15 to 17 years. In female, BD decreased from 1.0530 g/ml at 13 years to 1.0424 g/ml at 17 years. Mean %Fat was highest in males at 11 years (15.8%), and lowest at 14 years (10.1%). The highest mean %Fat in females occurred at 16 years (22.8%), and the lowest at age 11 years (15.2%). Overall, only 6.8% of males and 3.1% of females were classified as obese. Between 11 and 18 years, FFM of males differed by 20.7 kg or 67.9%, whereas females showed a difference of only 10.8 kg or 34.7%. Consequently, age effects explained approximately 60% of the male variance of FFM but only 26% in females. Body density of each sex and age group in this study did not differ significantly from previous Japanese studies, and the pooled BD data for 1,457 Japanese including the present study are reported as a reference.

[Validity of various indices of obesity calculated from height and weight data for adult males use of the underwater-weighing method as a reference].

PURPOSE: We evaluated associations between excess body fat (%Fat) and various indices of obesity calculated from height and weight data. METHODS: In 147 adult males, %Fat was measured by the underwater-weighing method, and obesity indices were generated by the following 5 approaches: the Broca-Katsura (Katsura method), the Kato-Wataya (Kato method), Japan Society for the Study of Obesity (BMI method; based on the body weight at which the BMI is 22), and the Meiji Life Insurance Co. methods, and the Tables and Figures for Assessment of Obesity and Leanness published by the Ministry of Health and Welfare (MHW method). RESULTS: %Fat was 20% or more (obese) in 67 males (45.6%), 15-20% in 39 (26.5%), 10-15% in 35 (23.8%), and less than 10% in 6 (4.1%). The correlation coefficients between the obesity indices and %Fat were 0.612 for the Katsura method, 0.590 for the Kato-method, 0.611 for the BMI method, 0.612 for the Meiji Life Insurance Co. method, and 0.550 for the MHW method, being significant in each case (P < 0.01). When the cut-off point was set as 110% for each obesity index, sensitivity was highest with the Kato-method (82.1%), and specificity was highest with the Meiji Life Insurance Co. method (93.8%). With the MHW method, the receiver operating characteristic (ROC) curve was slightly farther from the point of sensitivity of 100% and 1-specificity of 0% than the others. CONCLUSION: Excess fat accumulation can not be accurately assessed by obesity indices calculated from body height and weight data. Validity was similar among obesity indices examined.

[Validity of various obesity indices calculated from height and weight in adult females using the underwater-weighing method as a reference].

We evaluated association between excess percent body fat (%Fat) and various obesity indices calculated from height and weight in 322 adult females. %Fat was measured by the underwater-weighing method, and obesity indices were based on the following 5 methods; Broca-Katsura method (Katsura method), Kato-Wataya method (Kato method), Japan Society for the Study of Obesity method (BMI method; based on the body weight at which BMI is 22), Meiji Life Insurance Co. method, and Table and Figure for the Assessment of Obesity and Leanness by the Ministry of Health and Welfare (MHW method). %Fat was 30% or more (obese) in 73 females (22.7%), 25-30% in 97 (30.1%), 20-25% in 88 (27.3%), and less than 20% in 64 (19.9%). The correlation coefficient between the obesity indices and %Fat were 0.71 for the Katsura method, 0.70 for the Kato-method, 0.72 for the BMI method, 0.70 for the Meiji Life Insurance Co. Method, and 0.63 for the MHW method, being significant for all methods (P < 0.01). When the cut-off point was set as 110% for each obesity index, sensitivity was the highest for the Katsura method (67.1%), and specificity was the highest for the Meiji Life Insurance Co. method (95.2%). Receiver operating characteristic (ROC) curves were similar in figure for the Katsura method, Kato-method, BMI method, and Meiji Life Insurance Co. method. For the MHW method, however, the curve was slightly farther from the point of sensitivity of 100% and 1-specificity of 0% than the others. Excess fat accumulation could not be accurately assessed by the obesity indices calculated from body height and weight. Validity was similar among the obesity indices except for the MHW method.

The effect of frequency and mode of sports activity on the psychological status in tetraplegics and paraplegics.

OBJECTIVE: To examine whether the psychological benefits of sports activity differ between tetraplegics and paraplegics with spinal cord injury, and investigate the effect of frequency and modes of sports activity on the psychological benefits. METHODS: The Self-rating Depression Scale (SDS), State-Trait Anxiety Inventory (STAI) and Profiles of Mood States (POMS) were administered to 169 male individuals with spinal cord injury (mean age=42.7 years) including 53 tetraplegics and 116 paraplegics. The subjects were divided into four groups according to their frequencies of sports activity; High-active (more than three times a week; n=32), Middle-active (once or twice a week, n=41), Low-active (once to three times a month, n=32), and Inactive (no sports participation, n=64). RESULTS: Analysis of variance revealed significant differences in depression for SDS, trait anxiety for STAI and depression and vigor for POMS among the groups. High-active group showed the lowest scores of depression and trait anxiety and the highest score of vigor among the four groups. In contrast, no significant difference was found for any psychological measurements between tetraplegics and paraplegics. In addition, there was no significant difference for any psychological measurements among modes (wheelchair basketball, wheelchair racing, wheelchair tennis and minor modes). CONCLUSIONS: These findings demonstrated that sports activity can improve the psychological status, irrespective of tetraplegics and paraplegics, and that the psychological benefits are emphasized by sports activity at high frequency.

Multivariate analysis of factors influencing physical work capacity in wheelchair-dependent paraplegics with spinal cord injury.

The purpose of this study was to determine the main factors that influence physical work capacity (PWC) in wheelchair-dependent paraplegics with spinal cord injury (SCI) using multivariate analysis. Thirty-two male paraplegics with SCI (PSCI) performed a submaximal arm exercise test on an arm-cranking ergometer to determine their PWC (oxygen uptake: ml x kg(-1) x min(-1)) at a heart rate of 150 beats x min(-1) (PWC150). Hayashi's Quantification first type was applied to analyze the effects on PWC150 of six factors: age, smoking, level of physical activity, occupation, level of SCI and period since SCI. This analysis revealed high partial correlation coefficients between PWC150 and the level of SCI (0.651) and physical activity level (0.583) compared to other factors. In addition, the multiple correlation coefficient for six factors in predicting PWC150 was 0.726. These results indicate that the level of SCI and physical activity are the most important factors in determining PWC in wheelchair-dependent male PSCI.

Relationship between physical characteristics and physiological responses during maximal arm cranking in paraplegics.

The purpose of this study was to elucidate the main physical factor(s) affecting cardiorespiratory responses during maximal arm cranking exercise in patients with paraplegia. Peak oxygen uptake (peak Vo2), peak pulmonary ventilation (peak VE) and peak heart rate (peak HR) were measured during maximal arm cranking exercise in 28 Japanese male patients. A cluster analysis was applied to the data for peak Vo2, peak HR and peak VE, and then the subjects were classified into four groups (A, B, C and D). Group A showed high peak VE and peak HR and low peak Vo2, Group B low peak Vo2 and high values for other parameters, Group C the greatest physiological values for all measurements among the groups and, in contrast, Group D showed low peak Vo2 and the lowest peak VE and peak HR among the groups. The subjects in Group C had low level of spinal cord injury and were sports participants. On the other hand, duration since injury was not related to the cardiorespiratory responses during maximal arm cranking. These findings indicate that the effects on these responses of years since injury are subordinate to those of the level of spinal cord injury and training.

[Hydrostatic weighing, skinfold thickness, body mass index relationships in high school girls].

A study was conducted to evaluate body composition by hydrostatic weighing, skinfold thickness, and body mass index (BMI) in 102 senior high school girls, aged 15 to 18 in Nagasaki City. Body density measured by the underwater weighing method, was used to determine the fat weight (Fat) and lean body mass (LBM. or fat free weight: FFW) utilizing the formulas by Brozek et al. The results were as follows; 1. Mean values of body density were 1.04428 in the first grade girls, 1.04182 in the second grade, and 1.04185 in the third grade. 2. Mean values of percentage body fat (%Fat) were 23.5% in the first grade, 24.5% in the second and 24.5% in the third. 3. Percentage body fat (%Fat), lean body mass (LBM) and LBM/Height were not significantly with different advance of grade from the first to the third. 4. The correlation coefficients between percent body fat and the sum of two skinfold thicknesses, the sum of three skinfold thicknesses and the sum of seven skinfold thicknesses was 0.78, 0.79, and 0.80 respectively and were all statistically significant (p < 0.001). 5. The correlation coefficients between BMI and the sum of two skinfold thicknesses, the sum of three skinfold thicknesses and the sum of seven skinfold thicknesses was 0.74, 0.74, and 0.74 respectively and were all statistically significant (p < 0.001). 6. Mean values of BMI, Rohrer index and waist-hip ratio (WHR) in all subjects (n = 102) were 20.3, 128.2 and 0.72 respectively.

[Body density assessment utilizing skinfold thickness and age in Japanese men].

A study was conducted to investigate the validity of skinfold-based prediction equations for body density (g/ml) by Nagamine and Suzuki (1964), and to formulate more convenient and more useful equations for predicting body density from skinfold and age in men. Subjects of the study were 257 healthy men aged 19-60 years in or near Nagasaki City. The regression equation for the dependent variable, body density, was determined by hydrostatic weighing. Independent variables included eight skinfolds, the sum of two skinfolds (triceps, subscapular), the sum of three skinfolds (triceps, subscapular, and abdominal), age, and body surface area. Skinfolds were measured with an Eiken-model skinfold caliper. Age (mean 33.1, range 19-60 yrs.), weight (mean 65.3, range 46.6-107.7 kg), height (mean 168.8, range 152.3-185.4 cm), and body density (mean 1.05874, range 1.00860-1.09020 g/ml) were also recorded. Percent body fat was calculated using the formula by Brozek et al. and ranged from 6.1% to 38.9%. Multiple correlation coefficients (MR) and standard error (SE) of 10 regression equations (A-J) for predicting body density in men were obtained. The best-fitting and the most convenient prediction equation for body density was equation-E.: body density = 1.09556-0.00062 x sum of three skinfolds (mm)-0.00028 x age (MR = 0.815 and SE = 0.0087 g/ml). The equation was cross-validated on a different sample of 45 men. The correlation coefficient between predicted and hydrostatically determined body density was 0.781 (p < 0.001). Equation-E (Tahara's equation) appears to be useful in body density analysis particularly when the subjects are Japanese men, aged 18-50 yrs, with percent body fat 10 to 30%.

Changes in body shape of young individuals from the aspect of adult physique model by factor analysis.

The purpose of this study was to clarify characteristics of age-related changes in body shape in adolescence, in 11- to 19-year-old boys and girls, by using previously reported physique models of adult men and women as the scale. The scale consisted of four factors obtained by factor analysis using 30 items as variables, such as the values measured for the physique, skinfold thickness and body composition. The four factors were Factor 1: body fat, Factor 2: mass, Factor 3: leg length to height ratio, and Factor 4: length, and were interpreted in the men and women in a similar manner. The subjects were 307 boys and 368 girls; all were healthy. Thirty items were measured and included the values measured for the physique, skinfold thickness and body composition, as in the men and women. Factor scores in the subjects were standardized by mean and standard deviation for each item in the adult subjects, and calculated for individuals by using the coefficient of factor score in the adult subjects. The body shapes of the boys and girls were investigated from the factor score by age calculated for each factor. The following results were obtained: 1. Factor 1 tended to gradually decrease and reached the adult level at 15 years of age in the boys.(ABSTRACT TRUNCATED AT 250 WORDS)

[Body density assessment utilizing skinfold thickness and age in Japanese women].

A study was conducted to investigate the validity of skinfold-based prediction equations for body density (g/ml) by Nagamine and Suzuki (1964), and to formulate more convenient and more useful equations for predicting body density from skinfold and age in women. Subjects of the study were 512 healthy women aged 18-66 years in or near Nagasaki City. The dependent variable in the multiple regression equation, body density, was determined by hydrostatic weighing. Independent variables included eight skinfolds, the sum of two skinfolds (triceps, subscapular), the sum of three skinfolds (triceps, subscapular, and abdominal), age, and body surface area. Skinfolds were measured with an Eiken-model skinfold caliper. Age (mean 30.1, range 18-66 yrs.), weight (mean 52.6, range 38.0-83.3 kg), height (mean 157.0, range 142.0-172.0 cm), and body density, (mean 1.04125, range 0.98806-1.08650 g/ml) were also recorded. Percent body fat was calculated using the formula by Brozek et al. and ranged from 6.4% to 48.3%. Multiple correlation coefficients (MR) and standard error (SE) of 10 regression equations (A-J) for predicting body density in women were compared. The best-fitting and the most convenient prediction equation for body density was equation-E. The regression equation developed for predicting body density was: body density = 1.07931-0.00059 x sum of three skinfolds(mm)-0.00015 x age (MR = 0.77 and SE = 0.0089). The equation was cross-validated on a different sample of 46 women. The correlation coefficient between predicted and hydrostatically determined body density was 0.813 (p < 0.001). Equation-E (Tahara's equation) appears to be useful in body density analysis particularly when the subjects are Japanese women, aged 18-50 yrs, with percent body fat 17 to 34%.

Characteristics of body shape of female athletes based on factor analysis.

We examined the body shape of female athletes in comparison with female adult non-athletes by factor analysis. The subjects were 433 adult non-athletes and 464 athletes participating in 11 different sporting events. The physique, skinfold thickness and body composition of each subject were measured. The values obtained from non-athletes were analyzed by factor analysis, and the body shape of the athletes was then analyzed according to these factors. Four main factors with which 80 percent of total variance could be explained were body fat (Factor 1), mass (Factor 2), leg length to height ratio (Factor 3) and length (Factor 4), and were extracted from the values from non-athletes. The body shape of the athletes could be classified into 4 categories by cluster analysis for factor score of sporting events: less body fat and slim type, average type like non-athletes, muscular and well-balanced type, and tall and well-developed mass. Compared with non-athletes, female athletes for all sporting events had less body fat. Moreover, the athletes had a body shape suitable for their sporting events; i.e., their mass, length of leg and height.

Classification of body shape of male athletes by factor analysis.

The purpose of this study was to evaluate the body shape of athletes in comparison with adult non-athletes by factor analysis. The subjects were 210 male adult non-athletes and 485 male high school age and adult athletes participating in 13 different sporting events. Physique, skinfold thickness and body composition of each subject were measured. Measured values from adult non-athletes were analyzed by factor analysis, and body shape of the athletes was then analyzed according to these factors. The results are summarized as follows: 1. Four main factors, that is, body fat, mass, leg length to height ratio and length, which could explain 88.5 percent of total variance, were extracted from the measured values from adult non-athletes. 2. Similarity of body shape between sporting events was analyzed by cluster analysis. Body shape of the athletes could be classified into 3 categories: muscular and well-balanced type; rich muscular and large-built type; and rich muscular and long-torso type. Compared with adult non-athletes, male athletes had less body fat and greater mass except for long-distance runners. The present results suggested that the athletes had body shapes suitable to their sporting events.

[Sex differences in interrelationships between percent body fat (%fat) and waist-to-hip ratio (WHR) in healthy male and female adults].

The purpose of the present study was to investigate sexual differences in relationships among percent body fat (%Fat), waist-to-hip ratio (WHR), waist-to-stature ratio (WSR), abdominal circumference to stature ratio (ASR), body mass index (BMI) and skinfold thicknesses in healthy male and female adults. Subjects were 64 males and 65 females, aged 22-60. Body density was measured by under water weighing and by skinfold anthropometry. Mean %Fat was 15.6% in males and 23.9% in females. Mean WHR was 0.83 in males and 0.72 in females. The correlation between %Fat and WHR was not significant in females (r = -0.104) but was significant in males (r = 0.631, p < 0.001). Highly significant correlations were obtained among %Fat, WSR, ASR, BMI, and sum of eight skinfolds in both sexes.

[Body composition, VO2 max and O2 debt max in elite senior high school male cyclists].

This study was performed to evaluate the physical resources for elite male cyclists of senior high school. Nine track cyclists (mean age, 17.4 years) and seven road cyclists (mean age, 17.3 years) were examined for body composition and cardiorespiratory function (VO2 max and O2 debt max), from 1988 to 1992. These measurements were compared with those of elite junior cyclists, and the progress of physiological function due to one-year training was examined for 7 cyclists. The results were as follows: 1. The mean parameters for track cyclists were recorded: percentage body fat (%Fat): 10.3%; lean body mass (LBM): 56.5kg; VO2 max: 3.93l/min, 62.5ml/kg.min; O2 debt max: 8.81l, 139.1ml/kg. 2. The mean parameters for road cyclists were recorded: %Fat: 10.9%; LBM: 54.9kg; VO2 max: 3.78l/min, 61.4ml/kg.min; O2 debt max: 7.89l, 128.4ml/kg. 3. The average %Fat, LBM, LBM/Ht, VO2 max and O2 debt max were not significantly different between track and road cyclists. 4. The average %Fat and VO2 max (ml/kg.min) of track and road cyclists were similar to those of elite junior cyclists. 5. By training for one year, the average VO2 max (ml/kg.min) and O2 debt max (ml/kg) showed a significant increase of approximately 13.6% and 22.6% respectively. These results indicated that through training 9 track and 7 road cyclists had achieved a superior body composition, aerobic work capacity and anaerobic work capacity, equal to those of elite junior cyclists.

[Body composition (densitometry-hydrostatics), skinfold thickness, BMI and their relationships in junior high school girls].

A study was conducted to evaluate body composition (Hydrostatics = Under-Water Weighing), skinfold thickness, and BMI in 97 junior high school girls, aged 12 to 15, in Nagasaki City. Body density was measured by under-water weighing, and the two compartments--fat weight (Fat) and lean body mass (LBM, or fat free weight: FFW)--were calculated using the formulas of Brozek et al. The results were as follows; 1. Mean values of body density were 1.0501 in first grade girls, 1.0476 in the second grade, and 1.0466 in the third grade. 2. Mean values of percentage body fat (% Fat) were 21.1% in the first grade, 22.1% in the second and 22.5% in the third. 3. Lean body mass (LBM) and LBM/Height increased significantly with advance from the first to the third grade. 4. The correlation coefficient between percent body fat and the sum of two skinfold thicknesses, the sum of three skinfold thicknesses, or the sum of seven skinfold thicknesses were 0.81, 0.80, and 0.82 respectively and all statistically significant (p < 0.001). 5. The correlation coefficient between BMI and the sum of two skinfold thicknesses, the sum of three skinfold thicknesses (r = 0.841) or the sum of seven skinfold thicknesses were 0.85, 0.84, and 0.84 respectively, and all statistically significant (p < 0.001). 6. Mean values of BMI, WSR, ASR, and WHR in all subjects (n = 97) were 19.6, 0.72, 0.39 and 0.43 respectively.