Ghrelin does not regulate the GH response to insulin-induced hypoglycaemia in children but could be involved in the regulation of cortisol secretion.

OBJECTIVE: Ghrelin activates the growth hormone secretagogue receptor GHS-R. It strongly stimulates GH secretion and has a role in energy homeostasis. The relationship between plasma ghrelin and cortisol levels during insulin-induced hypoglycaemia in prepubertal and pubertal children has not yet been investigated. The aim of the present study was to establish whether insulin-induced hypoglycaemia stimulates ghrelin secretion and whether changes in ghrelin concentrations are related to changes in GH and cortisol in children. DESIGN AND PATIENTS: We studied a group of 20 children and adolescents (five girls, 15 boys, mean age 10.8 +/- 3.7 years) undergoing insulin tolerance tests (ITTs) for clinical investigation of GH deficiency. MEASUREMENTS: Stimulation tests were performed to investigate the relationship between ghrelin, GH, cortisol and glucose levels according to age and pubertal stage by determining the ghrelin profiles during insulin-induced hypoglycaemia (at 0, 60 and 120 min). RESULTS: Ghrelin was significantly and inversely related to body weight, height, body mass index (BMI) and age of children (P < 0.05). Significant changes in ghrelin levels (P = 0.00013) were found after the insulin bolus, with a decline at 60 min and an increase to baseline values at 120 min. Changes in cortisol levels were negatively correlated with changes in ghrelin at 60 min (r = -0.59, P = 0.004) and at 120 min (r = -0.605, P = 0.003). CONCLUSIONS: This study shows that ghrelin might not regulate the GH response to insulin-induced hypoglycaemia in prepubertal and pubertal children. A role for ghrelin in the regulation of cortisol secretion can be hypothesized concerning the negative correlation between changes in ghrelin and cortisol. Furthermore, the results imply that ghrelin secretion is age dependent and is a function of growth.

Underweight in ski jumping: The solution of the problem.

Underweight is becoming increasingly prevalent in many sports. Among world class ski jumpers, the body mass index BMI has decreased by 4 units since 1970. The BMI ignores different body properties of individuals. Particular care should be taken in groups with unusual leg length to avoid classifying them inappropriately as thin or overweight (WHO). The improved measure MI (mass index) for relative body weight overcomes this shortcoming. Anthropometric data of ski jumpers was collected during the Olympic Games in Salt Lake City (2002; participation 81 %, n = 57), during the Summer Grand Prix in Hinterzarten (2000; participation 100 %, n = 92), and during the World Cup in Planica (2000; n = 56). The BMI and the MI were determined. The MI considers the individual leg length: A person with longer legs than average has an MI > BMI, and vice versa: MI = 0.28 m/s2 (m: mass in kg, s: sitting height in meters). BMI classes of ski jumpers in the season 2004/2005 were calculated from their official individual ski length limitation which is a function of their BMI. BMI means were 19.84 in Planica, 19.58 in Hinterzarten, and 19.43 kg m(-2) in SLC. Lowest BMI was 16.4 kg m(-2). The percentage of underweight ski jumpers (BMI < 18.5 kg m(-2)) decreased from 22.8 % at the Olympic Games 2002 to 8.7 % in the season 2004/2005 due to the new ski jumping regulations. The ratio s/h = C (s = sitting height, h = height, C = cormic index) ranged from 0.49 to 0.57. Accordingly, the MI values (which are leg length corrected BMI values according to MI = BMI (C /C) (k) with k = 2 and C = 0.53) deviated remarkably from BMI values. For the 49 cases with BMI or MI or both below 18.5 kg m(-2), the classification to be underweight or not changed in 69 % when the MI was used instead of the BMI. Underweight or overweight is not only a question of cut-off points; the measure used determines the classification accuracy. A substantial improvement of weight analyses in sports medicine, public health, and general medicine as well can be obtained by using the MI instead of the BMI.

Body fat distribution of overweight females with a history of weight cycling.

Weight cycling may cause a redistribution of body fat to the upper body fat compartments. We investigated the distribution of subcutaneous adipose tissue (SAT) in 30 overweight women with a history of weight-cycling and age-matched controls (167 normal weight and 97 overweight subjects). Measurements of SAT were performed using an optical device, the Lipometer. The SAT topography describes the thicknesses of SAT layers at 15 anatomically well-defined body sites from neck to calf. The overweight women with a history of weight cycling had significantly thicker SAT layers on the upper body compared to the overweight controls, but even thinner SAT layers on their legs than the normal weight women. An android fat pattern was attributed to overweight females and, even more pronounced, to the weight cyclers. The majority of normal weight women showed a gynoid fat pattern. Using stepwise discriminant analysis, 89.0% of all weight cyclers and overweight controls could be classified correctly into the two groups. These findings show the importance of normal weight maintenance as a health-promoting factor.

Android subcutaneous adipose tissue topography in lean and obese women suffering from PCOS: comparison with type 2 diabetic women.

The new optical device, the lipometer, enables the noninvasive, quick, safe, and precise determination of the thickness of subcutaneous adipose tissue (SAT) layers at any given site of the human body. Fifteen anatomically well-defined body sites from neck to calf describe a SAT topography (SAT-Top) like an individual "fingerprint" of a subject. This SAT-Top was examined in 16 women with polycystic ovary syndrome (PCOS) and compared to the body fat distribution of 87 age-matched healthy controls and 20 type-2 diabetic women. SAT-Top differences of these three groups were described and, to render the possibility of visual comparison, the 15-dimensional body fat information was condensed to a two-dimensional factor plot by factor analysis. All PCOS patients had an android body fat distribution with significantly thinner SAT layers on the legs as compared to healthy controls. Moreover, a hierarchical cluster analysis resulted in two distinctly different groups of PCOS women, a lean (PCOSL) and an obese (PCOSO) cluster: compared to healthy women, lean PCOS patients had significantly lower total SAT development, even though height, weight, and body mass index did not deviate significantly. Especially on the legs, their SAT layers were significantly lowered, indicating a more "apple-like" fat distribution type. Obese PCOS women showed a SAT-Top pattern very similar to that of women with type-2 diabetes, although the mean age difference between these groups was more than 30 years. Compared to healthy controls, the SAT-Top of these obese PCOS patients was strongly shifted into the android direction, appearing as "super-apples" with a significantly increased upper trunk obesity to 237.8% and a significantly decreased leg SAT development to 79.8%.

Relationships between bioelectric impedance and subcutaneous adipose tissue thickness measured by LIPOMETER and skinfold calipers in children.

The aim of this study was to compare the relationships between bioelectrical impedance and thicknesses of adipose tissue measured by traditional skinfold caliper (double thickness) or a LIPOMETER device (single non-compressed thickness) in 9- to 12-year-old boys ( n=52) and girls ( n=44). In total, nine skinfolds (triceps, subscapular, biceps, iliac crest, supraspinale, abdominal, front thigh, medial calf, mid-axilla) were measured. Measurement for the thickness of subcutaneous adipose tissue layers (SAT-layers) by LIPOMETER were performed at 15 body sites (neck, triceps, biceps, upper back, front chest, lateral chest, upper abdomen, lower abdomen, lower back, hip, front thigh, lateral thigh, rear thigh, inner thigh, calf). Body bioelectrical impedance was measured with a multiple-frequency impedance device Multiscan-5000 (Bodystat, UK). Impedance at 50 kHz highly correlated with body mass ( r=-0.47 in boys, r=-0.46 in girls, r=-0.47 in total group). The relationship with body height was significant only in girls ( r=-0.42). Skinfold thicknesses measured by caliper did not correlate significantly with body impedance at 50 kHz. SAT-layers measured by LIPOMETER at triceps, front thigh, lateral thigh and rear thigh sites in boys and at the lateral thigh site in girls correlated significantly with body impedance measured at 50 kHz. Stepwise multiple regression analysis indicated that the iliac crest and front thigh skinfold thicknesses measured by caliper characterized only 5.7-12.0% of the impedance at 50 kHz in the total group ( n=96). From the measured 15 SAT-layers, the most significant was the lateral thigh layer which characterized 20.0%, 11.9% and 13.6% of the impedance at 50 kHz in boys, girls and the total group, respectively. It was concluded that the influence of subcutaneous adipose tissue on body impedance is relatively low in children. However, SAT-layers have a slightly higher influence on body impedance than skinfold thicknesses measured by caliper. The sum of skinfolds or SAT-layers did not correlate significantly with body impedance in any group.

Subcutaneous adipose tissue pattern in lean and obese women with polycystic ovary syndrome.

The new optical device, Lipometer, permits the noninvasive, quick, safe, and precise measurement of the thickness of subcutaneous adipose tissue (SAT) layers at any given site of the human body. Fifteen anatomically well-defined body sites from neck to calf describe the SAT topography (SAT-Top) like an individual "fingerprint." SAT-Top was examined in 33 women with polycystic ovary syndrome (PCOS), in 87 age-matched healthy controls and in 20 Type-II diabetic women. SAT-Top differences of these three groups were described, and, based on a hierarchical cluster analysis, two distinctly different groups of PCOS women, a lean (PCOS(L)) and an obese (PCOS(O)) cluster, were found. For visual comparison of the different types of body fat distribution, the 15-dimensional body fat information was condensed to a two-dimensional factor plot by factor analysis. For comparison of the PCOS like body fat distribution with the "healthy" fat pattern, the (previously published) SAT-Top results of 590 healthy women and men (20-70 years old) and 162 healthy girls and boys (7-11 years old) were added to the factor plot. PCOS(O) women showed a SAT-Top pattern very similar to that of women with Type-II diabetes, even though the diabetic women were on average 30 years older. Compared with their healthy controls, SAT-Top of these PCOS(O) patients was strongly skewed into the android direction, providing significantly decreased leg SAT development and significantly higher upper body obesity. Compared with healthy women, PCOS(L) patients had significantly lower total SAT development (even though height, weight, and body mass index did not deviate significantly), showing a slightly lowered amount of body fat in the upper region and a highly significant leg SAT reduction. This type of fat pattern is the same as found in girls and boys before developing their sex specific body fat distribution. We conclude that women with PCOS develop an android SAT-Top, but compared in more detail, we found two typical types of body fat distribution: the "childlike" SAT pattern in lean PCOS patients, and the "diabetic" body fat distribution in obese PCOS women.

Changes in serum interleukin-6 concentrations in obese children and adolescents during a weight reduction program.

OBJECTIVE: To investigate the effect of short term energy restriction combined with physical activity on serum concentrations of Interleukin-6 (IL-6) in obese children and adolescents. DESIGN: Longitudinal intervention study of 3.8-5 MJ daily with exercise. SUBJECTS: Forty-nine white obese children and adolescents (31 girls, age 11.9+/-1.8 y; 18 boys, age 11.6+/-1.7 y). MEASUREMENTS: Indexes of obesity, IL-6, leptin, estradiol, systolic and diastolic blood pressure, heart rate at baseline and after 3 weeks. RESULTS: All determined parameters decreased significantly during the 3 week program (IL-6: 3.9+/-4.7 vs 2.0+/-2.2 pg/ml; P<0.05). Body mass index (BMI) fat mass, percentage fat mass (indexes of obesity), and leptin were not related to IL-6 before the program. In contrast, IL-6 concentrations correlated significantly with indexes of obesity and leptin after weight loss. IL-6 concentrations did not correlate with estradiol, systolic and diastolic blood pressure, and heart rate. Changes in IL-6 concentrations correlated significantly with changes in BMI (r=0.25, P<0.05). CONCLUSION: An improved body composition induced by restriction of energy intake and increase in physical activity is associated with more favorable serum concentrations of IL-6 in obese children and adolescents.

The effects of changes in body mass and subcutaneous fat on the improvement in metabolic risk factors in obese children after short-term weight loss.

The pattern of subcutaneous fat (SAT) is related to metabolic risk factors in obese children. Because weight loss improves the risk-factor profile, we sought to determine whether changes in SAT or SAT-pattern contribute to the improvement in the risk-factor profile after 3 weeks of a low-calorie diet and physical activities. In 22 obese boys (mean age, 11.9 years) and 40 obese girls (mean age, 12 years), fat mass (by means of impedance) and fat distribution (waist and hip circumference) were assessed. The thickness of 15 different subcutaneous adipose tissue layers (SAT-layers) was measured using a Lipometer (Moeller Messtechnik, Graz, Austria). SAT and SAT-pattern (arm-SAT, trunk-SAT, leg-SAT) were calculated. Blood samples were taken for the determination of insulin, glucose, triglycerides, and cholesterol. After 3 weeks, fat mass, waist and hip circumference, SAT, arm-SAT, trunk-SAT (all P <.0001), and leg-SAT (P <.01) were reduced. Besides glucose, metabolic parameters were lowered (all P <.001) but changes in metabolic parameter were interrelated in boys and girls. Age- and sex-adjusted regression revealed that changes in body mass contributed to the variability in changes of insulin (adjusted R(2) =.15, P =.0015). For the change in triglycerides, changes in cholesterol together with subtle alterations in glucose and changes in leg-SAT were found to be the main determinants (adjusted R(2) =.587, P <.0001). The results indicate that the change in the atherogenic and metabolic risk factor profile is largely independent from the concomitant loss in SAT. The reduction in body mass explained only a small part of the variability in changes of insulin, but leg-SAT might participate in the lowering of triglycerides, especially in boys. The contribution of SAT-pattern to the risk factor profile is an issue that needs further investigation.

Determinants of homocysteine during weight reduction in obese children and adolescents.

Plasma homocysteine levels have been shown to be associated with indexes of obesity and insulin resistance in obese children and adolescents. We, therefore, investigated the contribution of changes in body composition, markers of insulin resistance, folate, and vitamin B(12) to changes in homocysteine during a weight reduction program in obese children and adolescents. Thirty-seven obese white girls (mean SD; age, 12 +/- 1.8 years, body mass index [BMI], 26.9 +/- 5.25) and 19 obese white boys (age, 11.9 +/- 1.7 years; BMI, 26.2 +/- 5.2) were investigated for body composition, fasting total plasma homocysteine (tHcy), insulin, C-peptide, folate, and vitamin B(12) before and after a 3-week weight reduction program including physical activities. During weight reduction BMI, fat mass (FM), percentage fat mass, insulin, and C-peptide decreased significantly, whereas homocysteine and vitamin B(12) showed a significant increase. Folate and lean body mass (LBM) remained unchanged. tHcy concentration before weight reduction was a function of age, folate, and C-peptide, whereas tHcy concentration after weight reduction was a function of folate and baseline LBM. Changes in tHcy during weight reduction correlated significantly with baseline LBM and were related inversely to changes in LBM during weight reduction. Children who increased LBM showed lower increases in tHcy compared with children who lost LBM. In multiple linear regression analysis, only baseline LBM contributed independently and significantly to changes in tHcy. Our study suggests that LBM has a significant impact on tHcy metabolism during weight reduction.

Relationship between subcutaneous fatness and leptin in male athletes.

PURPOSE: Circulating leptin is low in trained subjects and closely related to body fat content. However, data are scarce as to whether differences exist in the relationship between different estimates of adiposity, metabolic parameters, and leptin in endurance- and resistance-trained male athletes. We investigated this relationship with special emphasis on subcutaneous fatness and its distribution. METHODS: 20 endurance (ET) and 17 resistance (RT) athletes recruited from different kind of sports were studied. Fat-free mass (FFM) was estimated by means of impedance and fat mass (FM) was calculated. Subcutaneous fat (SAT) and its distribution was measured by means of the optical device Lipometer at 15 body sites (SAT-layers; from 1-neck to 15-calf) on the right side of the body. Fifteen SAT-layers were summed to calculate SAT. Blood samples were obtained for determination for leptin, insulin, and glucose. Insulin resistance was calculated through the fasting insulin resistance index (FIRI; [insulin x glucose/25]). RESULTS: RT-athletes had a greater body mass and body fat content than ET-athletes, but no differences were found for leptin and metabolic parameters. In all athletes, estimates of adiposity were correlated to leptin. However, in ET-athletes FM (P < 0.05), FFM (P < 0.05), and SAT (P < 0.001) but not metabolic parameters were correlated to leptin. In RT-athletes, SAT (P < 0.0001), metabolic parameters (all P < 0.05), but not FM and FFM were in significant relationship with leptin. Stepwise regression revealed SAT as the main determinant for the variation in leptin in all athletes (adj. R(2 )= 0.52, P < 0.0001). CONCLUSION: The results suggest that estimates of adiposity and metabolic parameters are associated with leptin in a sport-specific manner. Whereas leptin might be regulated by overall subcutaneous fatness in athletes, our study does not imply a main influence of fat patterning on leptin in this group of trained subjects.

Effects of weight loss on leptin, sex hormones, and measures of adiposity in obese children.

Adipose tissue influences steroid conversion by paracrine and autocrine mechanisms. Leptin is secreted by adipocytes and influenced by sex hormones and adiposity. Short-term weight loss in the treatment of childhood obesity reduces leptin and adipose tissue. We therefore asked, Do alterations in sex hormones occur owing to weight loss? and can these alterations be explained by changes in fat mass or sc fat and are alterations in sex hormones directly related to the fall in leptin? Twenty obese boys and 40 obese girls were studied before and after 3 wk of low-calorie diet and physical activity. The weight loss program significantly lowered fat mass, abdominal fat distribution, sc fat (all p < 0.0001), leptin, insulin, and estradiol (all p < 0.0001) but not testosterone. Changes in leptin were related to changes in body mass and to changes in fat mass in boys. In girls, changes in leptin were related to changes in sc fatness and also to changes in insulin. In boys, the reduction in sc fat was positively correlated to changes in testosterone (r = 0.54; p < 0.01) and inversely related to the fall in estradiol (r = -0.41; p < 0.05). In girls, changes in testosterone (r = 0.33; p < 0.05) and in estradiol (r = 0.40; p < 0.01) were related to changes in insulin. Stepwise regression showed that initial leptin was the best determinant for the fall in leptin (adjusted R2 = 0.87; p < 0.0001). The results show that alterations in sex hormones are related to changes in certain fat depots in boys whereas in girls changes in insulin might participate in changes in sex hormones. A greater fall in leptin owing to short-term weight loss is not associated with greater alterations in sex hormones and initial leptin is the best determinant to explain the variability in changes in leptin. The possibility of sex differences in changes in sex hormones secondary to the reduction in fatness warrants further study.

Shorter PFA-100 closure times in neonates than in adults: role of red cells, white cells, platelets and von Willebrand factor.

UNLABELLED: In neonates, despite poor platelet function in various in vitro tests, closure times (CTs) in PFA-100 measurements are shorter than in adults. Neonates have a higher polymeric von Willebrand factor (vWF). They also have a higher haematocrit and higher white blood cell count than adults. which may interfere with the evaluation of platelet and vWF function by means of the PFA-100 in neonates. To assess the role of different blood constituents on neonatal CTs, red blood cell, platelet and white blood cell counts in cord blood were modified. These modifications did not provide any evidence that the difference in number between adult and neonatal blood cells was responsible for shorter neonatal CTs. In further experiments, platelets and/or vWF were inhibited by means of abciximab and anti-vWF antibody, and mixing experiments with neonatal platelet-rich and platelet-poor plasma were performed. The results showed that short cord blood PFA-100 CTs were caused by a constituent of neonatal platelet-poor plasma, probably the neonatal high multimeric vWF. CONCLUSION: This study demonstrates that CTs in neonates are dependent on the same components, platelets and vWF, as in adults, making it likely that the PFA-100 can be used in neonates in the same way as in adults to investigate platelet and vWF function.

Subcutaneous adipose tissue layers as a stable correlate of leptin in response to short term energy restriction in obese girls.

AIMS: We studied the relationship of subcutaneous adipose tissue layers (SAT-layers) measured at 15 specified body sites with leptin before and after a weight loss program for three weeks. SUBJECTS AND METHODS: In 70 obese girls, SAT-layers were measured by means of the optical device, lipometer. Fat mass (FM) was estimated by means of bioelectrical impedance. RESULTS: At the beginning of the study, all estimates of adiposity, insulin, and SAT-layers from the upper body (from 1-neck to 6-lateral chest) were correlated to leptin at a P-value of<0.0001. Percentage FM together with SAT-layer 4-upper back and insulin explained 75% of the variation in leptin (P<0.0001). After three weeks, estimates of adiposity and leptin were reduced (all P<0.0001). Most SAT-layers were reduced, but SAT-layers 8-lower abdomen and 9-lower back were significantly increased. Changes in leptin were best explained by initial leptin, but percentage change (Delta) in insulin, Delta SAT-layer 1-neck, and Delta SAT-layer 3-biceps contributed to the Delta leptin (adj. r(2)=0.47, P<0.0001). In the weight-reduced state, circulating leptin was best explained by three SAT-layers and insulin (adj. r(2)=0.67, P<0.0001). DISCUSSION: The results suggest that Delta changes in leptin are attributable to changes in the endocrine state and subcutaneous fat, and SAT-layers may serve as a stable correlate of leptin in the weight-reduced state.

Interrelationship between estimates of adiposity and body fat distribution with metabolic and hemostatic parameters in obese children.

Adiposity in childhood is often associated with metabolic abnormalities and accompanied by a dysregulation of the coagulation and fibrinolytic systems. We studied the interrelationship of metabolic and hemostatic parameters and explored their relationship with measures of adiposity and fat distribution in obese children. In 34 obese boys (mean age, 11.7 years) and 57 obese girls (12.1 years), blood samples were determined for insulin, glucose, triglycerides, fibrinogen, plasminogen activator inhibitor-1 (PAI-1), and tissue-type plasminogen activator-antigen (tPA-Ag). Body composition was assessed by means of impedance. Waist (Wc) and hip circumference were measured. The thickness of subcutaneous adipose tissue-layers (SAT-layers) was measured at 15 different body sites (from 1-neck to 15-calf) by means of the optical device, Lipometer. Overall subcutaneous fatness (SAT) was calculated and SAT-distribution was estimated by means of factor analysis. Significant correlations were found between different measures of adiposity and Wc with metabolic parameters. Fibrinogen was mainly associated with upper body subcutaneous fatness (factor 1) in boys. In girls, hemostatic parameters were associated with nearly all measures of adiposity and also with factor 1 and SAT. Regression analysis showed that factor 1 together with PAI-1 (both P <.0001) contribute to fibrinogen (adjusted [adj], R(2) =.30). PAI-1 together with trigylcerides (both P <.0001) and age (P <.04) were main determinants for tPA-Ag (adj, R(2) =.41). tPA-Ag (P <.0001) together with glucose (P <.001, negative slope), fibrinogen (P <.001, negative slope), and percentage fat mass (%FM) (P <.01) contributed to PAI-1 (adj, R(2) =.54). These results favor the concept of an interrelationship between metabolic and hemostatic parameters resulting from increased adiposity, perhaps influenced by pubertal development of children. Although upper body subcutaneous fatness was found to be a main correlate of metabolic and hemostatic parameters, it remains to be investigated whether this type of subcutaneous fat distribution is involved in the expression of metabolic and hemostatic risk factors and participates in the dysregulation of the hemostatic system in the state of childhood obesity.

Orthogonal factor coefficient development of subcutaneous adipose tissue topography (SAT-Top) in girls and boys.

The new optical device Lipometer allows noninvasive, quick, and safe determination of the thickness of subcutaneous adipose tissue (SAT) layers (in mm) at any site of the human body. The specification of 15 evenly distributed body sites enables the precise measurement of subcutaneous body fat distribution, so-called subcutaneous adipose tissue topography (SAT-Top). SAT-Top was measured in 980 children aged 7-19 years. In this paper we describe the degree to which SAT-Top body sites are intercorrelated. We consider whether a meaningful reduction of data is possible using factor analysis, which factors can be extracted, and how SAT-Top data of children can be added to a factor value plot, depicting the essential results of age-dependent subcutaneous fat development. SAT layers situated on the same body area provide correlation coefficients up to +r = 0.91. Two factors are extracted: factor 1, containing all upper body sites (from neck to hip); and factor 2, consisting of all leg body sites. When all 980 children are divided into three age groups in a factor value plot, the first age group (7-11 years) shows almost equal SAT-Top development in boys and girls. Afterwards, for the consecutive age groups 2 (11-15 years) and 3 (15-19 years), the age-dependent subcutaneous fat development of boys and girls progresses into nearly orthogonal directions.

Effects of short-term energy restriction and physical training on haemostatic risk factors for coronary heart disease in obese children and adolescents.

OBJECTIVE: To study the changes of haemostatic risk factors for coronary heart disease during a weight reduction programme in obese children and adolescents. DESIGN: A short-term longitudinal study. SUBJECTS: Thirty-seven obese white girls (age, 12+/-1.8 y; body mass index (BMI), 26.9+/-5.25) and 19 obese white boys (age, 11.9+/-1.7 y; BMI, 26.2+/-5.2). MEASUREMENTS: Fibrinogen, factor VII coagulant activity, von Willebrand factor antigen, and soluble P-selectin were determined before and after a 3 week programme including energy restriction and physical activities. RESULTS: All determined haemostatic risk factors decreased significantly during the programme. Changes in risk factors were correlated to changes in body composition. Children and adolescents with the highest initial concentrations showed the greatest decreases. CONCLUSION: Energy restriction combined with physical activity improves the haemostatic risk profile in obese children and adolescents.

The influence of weight loss on fibrinolytic and metabolic parameters in obese children and adolescents.

We studied i) whether short-term weight loss alters plasminogen activator inhibitor-1 antigen (PAI-1-Ag) and tissue-type plasminogen activator antigen (tPA-Ag) in obese children, and ii) whether changes in body composition and/or abdominal adiposity are responsible for changes in PAI-1 and tPA-Ag. 20 obese boys (mean age 11.9 yr) and 40 obese girls (mean age 12 yr) were studied before and after three weeks of low-caloric diet and physical activity. Body composition was assessed by means of bioelectrical impedance, and the waist-to-hip ratio (WHR) was measured. Blood samples were determined for insulin, glucose, triglycerides, PAI-1-Ag, tPA-Ag, and the fasting insulin resistance index (FIRI) was calculated. Boys had a greater WHR, higher levels of glucose, and a slightly greater FIRI than girls. Estimates of adiposity, insulin, and triglycerides were correlated with PAI-1 and tPA-Ag. WHR was significantly correlated with fibrinolytic parameters only in girls. Insulin and tPA-Ag contributed to PAI-1 (adj. R2 = 0.36, p <0.0001), whereas percentage fat mass and triglycerides contributed to tPA-Ag (adj. R2 = 0.469, p <0.0001). The weight loss program significantly reduced adiposity, abdominal adiposity, and lowered fibrinolytic and metabolic parameters. Initial levels of PAI-1 and changes in body mass contributed to the fall in PAI-1 (adj. R2 = 0.18, p = 0.0016) and initial levels of tPA-Ag contributed significantly to changes in tPA-Ag (adj. R2 = 0.57, p <0.0001). The results suggest that changes in fibrinolytic parameters are associated with the loss in body mass but can occur independently of a concomitant reduction in fatness. Although initial PAI-1 and tPA-Ag predict the changes of these fibrinolytic parameters, the results do not exclude the possibility that the improvement in metabolic state and changes in unmeasured parameters related to physical activity and low-caloric diet could have influenced our findings.

Artificial neural networks compared to factor analysis for low-dimensional classification of high-dimensional body fat topography data of healthy and diabetic subjects.

Subcutaneous adipose tissue thickness was measured in 590 healthy subjects at 15 specific body sites by means of the new optical device, lipometer, providing a high-dimensional and partly highly intercorrelated set of data, which had been analyzed by factor analysis previously. N-2-N back-propagation neural networks are able to perform low-dimensional display of high-dimensional data as a special application. We report about the performance of such a 15-2-15 network and compare its results with the output of factor analysis. As test data for verification, measurement values on women with proven diabetes mellitus type II (NIDDM) are used. Surprisingly our 15-2-15 neural network is able to reproduce the classification pattern resulting from factor analysis very precisely. After extracting the network weights the classification of new subjects is even more simple with the neural network as compared with factor analysis. In addition, the network weights are able to cluster highly correlated body sites nicely to different groups, corresponding to different regions of the human body. Thus, the analysis of these weights provides additional information about the structure of the data. Therefore, N-2-N networks seem to be a good alternative method for analyzing high-dimensional data with strong intercorrelation.

Differences of subcutaneous adipose tissue topography in type-2 diabetic (NIDDM) women and healthy controls.

Women suffering from type-2 diabetes mellitus (non-insulin-dependent diabetes mellitus [NIDDM]) have more total body fat and upper body obesity compared with healthy controls. However, the standard measurement methods have disadvantages such as radiological burden, lack of precision, or high time consumption. A new optical device, the Lipometer, enables the noninvasive, quick, and save determination of the thickness of subcutaneous adipose tissue layers at any given site of the human body. The specification of 15 evenly distributed body sites allows the precise measurement of subcutaneous body fat distribution, so-called subcutaneous adipose tissue topography (SAT-Top). SAT-Tops of 20 women with clinically proven NIDDM and 122 healthy controls matched by age group were measured. In this paper, we describe the precise SAT-Top differences of these two groups and present the multidimensional SAT-Top information condensed in a two-dimensional factor plot and in a response plot of an artificial neural network. NIDDM women provide significantly lower leg SAT-Top and significantly higher upper trunk SAT-Top development ("apple"-type) compared with their healthy controls.

Artificial neural networks as a method to improve the precision of subcutaneous adipose tissue thickness measurements by means of the optical device LIPOMETER.

The LIPOMETER is an optical device for measuring the thickness of a subcutaneous adipose tissue layer. It illuminates the interesting layer, measures the backscattered light signals and from these, it computes absolute values of subcutaneous adipose tissue layer thickness (in mm). Previously, these light pattern values were fitted by nonlinear regression analysis to absolute values provided by computed tomography. Nonlinear regression analysis might provide slight limitations for our problem: a selected curve type cannot be changed afterwards during the application of the measurement device. Artificial neural networks yield a more flexible approach to this fitting problem and might be able to refine the fitting results. In the present paper we compare nonlinear regression analysis with the behaviour of different architectures of multilayer feed forward neural networks trained by error back propagation. Specifically, we are interested whether neural networks are able to yield a better fit of the LIPOMETER light patterns to absolute subcutaneous adipose tissue layer thicknesses than the nonlinear regression techniques. Different architectures of these networks are able to surpass the best result of regression analysis in training and test, providing higher correlation coefficients, regression lines with absolute values obtained from computed tomography closer to the line of identity, decreased sums of absolute and squared deviations, and higher measurement agreement.