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PubMed1997

Effects of aging on dehydroepiandrosterone sulfate in relation to fasting insulin levels and body composition assessed by bioimpedance analysis.

Insulin can inhibit dehydroepiandrosterone (DHEA) biosynthesis in humans, as suggested by several studies performed in induced or spontaneous hyperinsulinemia. The increased insulin resistance documented throughout aging, with its accompanying hyperinsulinemia, may contribute to the age-related decline in DHEA synthesis. The aim of this study was to assess if the aging-related differences in DHEA sulfate (DHEA-S) serum levels can be associated with differences in fasting insulin levels, as well as body composition. Two hundred fifty-two healthy subjects of both sexes aged 19 to 90 years with a body mass index (BMI) less than 30 (mean +/- SD, 23.5 +/- 2.4) were studied DHEA-S and insulin serum levels were determined by a radioimmunologic procedure; body composition was assessed by anthropometry (fat mass percentage [FM%] estimated from four skinfold thicknesses by Durnin and Womersley and Siri equations [FM%-SKF]) and by bioimpedance analysis (BIA) (FM% estimated by equations developed by Segal et al and Deurenberg et al for subjects < and > 62 years, respectively [FM%-BIA]). DHEA-S levels were significantly and inversely related to age in both sexes. No significant aging-related differences were found in fasting insulin levels, although a trend toward an increase was apparent in the women on simple regression analysis. No significant associations were found between DHEA-S and insulin levels. As for body composition, a positive relationship to age was apparent for FM%-SKF, FM%-BIA, and waist to hip ratio (WHR), whereas BMI and phase angle ([PA] a bioelectric parameter considered an index of the ratio between intracellular and extracellular water) were inversely related to age. Fasting insulin levels were positively related to FM% as estimated by both BIA and anthropometry, independently of age in both sexes; in addition, a positive correlation with WHR and with the subscapular to triceps skinfold thickness ratio (SS/TS) was found in men and women, respectively. No significant correlation was apparent between DHEA-S and body composition indices in men, whereas in women a slight negative correlation between DHEA-S and WHR was documented, and was still significant after adjustment for age and fasting insulin. Stepwise multiple regression analysis confirmed that DHEA-S levels are not related to fasting insulin, but are independently related to age and, in women only, to WHR. Our study suggests that the DHEA-S decline due to aging is independent of fasting insulin, at least in healthy, non-obese people. In addition, it is not related to the aging-dependent changes in body composition in terms of FM% and fat-free mass (FFM) percentage (FFM%). Only in women could changes in fat distribution be slightly associated with DHEA-S decline, although such a relation cannot be accounted for by changes in insulin levels.

Adolescent↗

PubMed2001

The Trp64Arg polymorphism of the beta3-adrenergic receptor gene is not associated with training-induced changes in body composition: The HERITAGE Family Study.

OBJECTIVE: To investigate the association between the Trp64Arg polymorphism of the beta3-adrenergic receptor gene and changes in body composition in response to endurance training. RESEARCH METHODS AND PROCEDURES: Adult sedentary white and black subjects participating in the HERITAGE Family Study were measured before and after 20 weeks on endurance training for the body mass index, fat mass, percentage of body fat, fat-free mass, sum of eight skinfolds, and subcutaneous, visceral, and total abdominal fat areas. The association between the Trp64Arg polymorphism and the response phenotypes, computed as the difference between pre- and post-training values, was tested by analysis of covariance separately in men and women. The gene by race interaction term was also tested. RESULTS: No race differences were observed for allelic and genotype frequencies. Training resulted in significant reduction of body fat in both men and women. No association of the Trp64Arg polymorphism was observed with training-induced changes for any of the body composition phenotypes in both men and women. DISCUSSION: These results suggest that the Trp64Arg polymorphism of the beta3-adrenergic receptor gene is not related to changes in body composition in response to exercise training.

Adipose Tissue↗

PubMed1998

Relationships of serum leptin to body composition and resting energy expenditure.

Body weight (BW), body mass index (BMI), body fat, serum leptin concentration and resting energy expenditure (REE) were fitted in a multiple linear regression model in a group of individuals with stable body weight. While serum leptin concentration was well related to BW, to BMI and to body fat, no correlations with the REE values were found. This suggests that serum leptin concentration would represent an index of adiposity and poorly reflects energy metabolism.

Adipose Tissue↗

PubMed2000

Magnetic resonance imaging in human body composition research. From quantitative to qualitative tissue measurement.

Incremental improvements in our knowledge of human body composition are abetted by advances in research technology. Indeed, magnetic resonance imaging (MRI) represents a technological advance that has profoundly influenced body composition research. Routine applications of MRI include the measurement of whole-body and regional adipose tissue distribution, quantification of lean tissue and its principal constituent skeletal muscle, and the measurement of visceral adipose tissue. MRI is now the method of choice for calibration of field methods designed to measure body fat and skeletal muscle in vivo. Common to these applications is the measurement of tissue quantity. More recently proton (1H) and sodium (23Na) MRI protocols have been developed that measure the quality (lipid and sodium concentration) of skeletal muscle tissue. These unique applications of MRI represent a major advance in the study of altered muscle composition in vivo, with numerous applications in both applied and clinical medicine. In this review we provide a brief overview of routine applications of MRI in body composition research, followed by a focus on more recent applications of MRI that employ fast-imaging sequences for qualitative measurement of human skeletal muscle.

Adipose Tissue↗

PubMed2000

The reference child and adolescent models of body composition. A contemporary comparison.

Changes in the relative proportions of bone, muscle, water, visceral tissues, and body fat occur during growth. In the 1980s, reference models of body composition for children and adolescents were constructed by adjusting data on total body water (TBW), total body potassium (TBK), and regional bone mineral (BMC) data from several different Caucasian populations. In our study, we measured TBW, TBK, and total body BMC in 856 healthy European-American, African-American, and Mexican-American children. When we reconstructed the reference models using our contemporary data, we found that the body's bone, protein, and fat compartments are slightly but significantly different from the earlier models. Our study provides the range of normal body composition of healthy children, aged 5-18 years, and accounts for differences related to gender and ethnicity.

Adolescent↗

PubMed1997

Body composition at the bedside.

OBJECTIVE: To evaluate the use of an inexpensive hand-held bioelectric impedance analysis machine which measures lean body mass, by technical comparisons against standard instruments and techniques (an in-house bioelectric impedance machine and dual energy X-ray absorptiometry), and by performing body composition analyses in groups of potentially malnourished patients. DESIGN: Prospective simultaneous comparison of measurements made by the hand-held and in-house bioelectric analysis machines and dual energy x-ray absorptiometry. SETTING: Medical Physics Department and Gastrointestinal Unit in a university teaching hospital. SUBJECTS/METHODS: One hundred and sixty subjects were recruited into the study. Data from 58 adolescent and 14 adult volunteers and from 42 adult patients were used for technical comparisons (n = 114). Body composition information was evaluated (n = 102) for 60 adult volunteers and 42 patients (17 with eating disorders, 7 with chronic alcoholic pancreatitis and 18 with inflammatory bowel disease). OUTCOME MEASURES: Estimation of bias, limits of agreement and correlations on data from the three machines. Relationships between percentage body mass as lean, absolute weights and body mass index, in the adult subjects. RESULTS: Both resistance and calculated impedance measured by the hand-held machine significantly correlated with the impedance measured by the in-house machine (r = 0.996; P < 0.0001). An estimation of the level of agreement in percentage lean measurement between dual energy x-ray absorptiometry and hand-held bioelectrical impedance analysis machine by the Bland and Altman method showed a bias of -0.07% and satisfactory limits of agreement from -7.97% to 7.76%. Body mass index was similar in the groups of healthy men and women, but proportion of weight as lean was significantly higher in men than women. In underweight patients with eating disorders, the ratio of lean to fat varied widely; in inflammatory bowel disease patients, proportions of lean and fat were similar to controls; however patients with alcoholic pancreatitis had values for body mass index similar to controls, but had significantly lower proportion of their body weight as lean (P < 0.05). CONCLUSION: In non-obese and thin adults, an accurate two-compartment (lean, fat) measurement of body composition can be made in 10 min by using an inexpensive, hand-held, bioelectric impedance analysis machine.

Absorptiometry, Photon↗

PubMed2000

[Anthropometry and the reference values of body composition by bioelectrical impedance in the adult population of L'Hospitalet de Llobregat].

BACKGROUND: The aim of the present study was to assess the anthropometric variables and the reference values of body composition in the adult population of L'Hospitalet de Llobregat, due to the lack of epidemiological studies on this matter in Spain. PATIENTS AND METHODS: We studied 234 normal subjects, 134 males, mean age 41.4 years, and 134 females, mean age 40.7 years, selected from the census of L'Hospitalet de Llobregat and representative of its population in sex and age. We determined anthropometric characteristics, body weight, height, body mass index, waist-hip ratio and body composition parameters: total body water, free fat mass, fat mass and body fat by bioelectrical impedance analyzer. RESULTS: Twenty-four males and 33 females were obese, and out of them 2 males and 4 women presented morbid obesity. The body mass index was higher either in males (p = 0.017) or in females (p = 0. 0001) in the last decades in relation to first decade, and in women was as consequence of higher fat mass (p = 0.0001). The waist-hip ratio was 0.93 (0.08) in male and 0.79 (0.07) in female, and it was high in males in the last decades. CONCLUSION: The present study points out the high prevalence of obesity in our city and the anthropometric characteristics and reference values of body composition in the normal population of L'Hospitalet de Llobregat, remarking the high body mass index in the last decades, especially in women due to an increase of fat mass. The waist-hip ratio was high in males in the last decades.

Adolescent↗

PubMed2004

Adults with partial growth hormone deficiency have an adverse body composition.

The current biochemical definition of severe GH deficiency (stimulated peak GH < 3 micro g/liter) provides good separation of GH-deficient (GHD) adults from normal subjects, although it may not account for all patients with impaired GH secretion. The vast majority of normal subjects display a peak GH level in excess of 7 micro g/liter in response to the insulin tolerance test. Using a peak GH response of 7 micro g/liter as an arbitrary upper limit, we investigated the effects of partial GH deficiency (GH insufficiency, GHI; peak GH response of 3-7 micro g/liter) on the body composition of hypopituitary adults. GHD adults (n = 30, peak GH < 3 micro g/liter) were of shorter stature than the controls. Body mass index was not significantly increased, but waist/hip ratio (0.885 vs. 0.818, P = 0.001) and skinfold thickness (78.2 vs. 59.6 mm, P = 0.003) were greater than control subjects. Bioimpedance analysis revealed these patients to have reduced lean body mass (LBM) (44.4 vs. 51.2 kg, P = 0.023) and increased fat mass (FM) (25.7 vs. 18.4 kg, P = 0.039). Dual-energy x-ray absorptiometry (DXA) analysis of body composition confirmed reduced LBM (43.6 vs. 50.6 kg, P = 0.010) and increased FM (26.0 vs. 19.2 kg, P = 0.015). The excess FM was observed to be primarily truncal in distribution. Similarly, GHI adults were of shorter stature but with increased waist/hip ratio (0.871 vs. 0.818, P = 0.006) and skinfold thickness (80.8 vs. 59.6 mm, P = 0.003), compared with controls. Bioimpedance analysis revealed a reduction in LBM (44.9 vs. 51.2 kg, P = 0.020). DXA studies confirmed the reduced LBM (45.0 vs. 50.6 kg, P = 0.041) and additionally noted an increase in percent FM (32.9 vs. 27.4%, P = 0.019). All measures of body composition in the GHI patients were intermediate between those of the controls and GHD patients. Serum leptin levels were significantly elevated in both the GHD (41.5 vs. 20.7 ng/ml, P = 0.009) and GHI (36.7 vs. 20.7 ng/ml, P = 0.022) adults, compared with healthy controls. The excess FM observed using DXA in the GHD and GHI adults equated to 6.5 kg (8%) and 3.5 kg (5.5%), respectively, relative to healthy controls. In summary, we have shown that adults with GHI have abnormalities of body composition characteristic of GHD. The degree of abnormality of body composition lies between that of healthy subjects and GHD adults and correlates with the IGF-I level. Any future trials of GH replacement in patients with GHI must await further studies to establish the exact impact of this relative deficiency on the broad spectrum of biological end points influenced by GH status.

Absorptiometry, Photon↗

PubMed2006

Fluid loss and body composition of elite Kuwaiti soccer players during a soccer match.

AIM: The aim of this study was to assess the effect of the hot weather conditions of Kuwait on fluid loss (FL) and body composition of Kuwaiti soccer players. METHODS: During 5 preseason soccer games, 10 elite Kuwaiti soccer players participated in this study. The age and physical characteristics (mean+/-SD) of the subjects were: age 24+/-4.7 years; height 173.4+/-5.2 cm; mass 68.2+/-7 kg; and the percent body fat 12.3+/-3.7%, the mean temperature 45.4+/-2 degrees C, mean humidity was 23.6+/-4.2%. Measurements were taken at the beginning, half time, and the end of each game; FL was measured by body weight changes. Urine specific gravity was used to determine the state of hydration. Body composition was measured using Biodynamics Model 310e Body Composition Analyzer. RESULTS: There was a significant difference in body weight changes between 1st and 2nd half at P>0.05. The mean value of the FL at the end of the game was 3.1+/-1.4 L; indicating no significant difference in FL between 1st and 2nd half at P>0.05). The mean value urine specific gravity at the end game was 1.026+/-0.002; there was a significant difference between first, and second half for urine specific gravity (P>0.05). CONCLUSIONS: Results of this study indicated that the subjects did not consume enough fluid to offset FL. Players and coaches involved with activities in hot humid environments should pay closer attention to FL and body weight changes which occur during physical activity. Special care should always be taken to insure players consume extra water prior to each training session or game.

Adipose Tissue↗

PubMed1996

Does multifrequency bioelectrical impedance relate to body composition?

BACKGROUND: There is need for a rapid, noninvasive, inexpensive yet accurate bedside technique to measure body composition. Bioelectrical impedance analysis measures the resistance and conductance of a weak electrical current passed through the body. It has been suggested that multifrequency impedance analysis can determine the distribution of fluid between the extracellular and intracellular compartments. MATERIALS AND METHODS: The correlation between the resistance signals obtained from multifrequency bioelectrical impedance measurements and body composition was determined in normal rats ranging from 150 to 400 g in weight. Total body water, body fat, total body sodium, and total body potassium were measured using the carcass analysis technique, and extracellular water was derived from a dilutional marker using sodium bromide. Fat-free mass was calculated as the difference between body weight and body fat, and intracellular water was derived from total body water and extracellular water. Multifrequency bioelectrical impedance was measured at frequencies ranging from 3 to 300 kHz. Resistance at zero frequency and infinite frequency was calculated using the Cole and Cole equation. RESULTS: Resistance index (i.e., length of the animal2/resistance) was highly correlated with all body compartments (r = 0.879-0.996) at all frequencies. There was also a high correlation among all compartments of the body (r = 0.971--0.999). Because of this high intercorrelation among the body compartments, a specific relationship between the multifrequency bioelectrical impedance signal and a specific compartment was not identified. CONCLUSIONS: Resistance index at any frequency will be correlated with any body compartment in a normal population. The utility of this technique should be determined in situations where there is a disturbance in the relationship between various compartments of the body.

Animals↗

PubMedDate not supplied

Determination of body composition in African-American children: validation of bioelectrical impedence with dual energy X-ray absorptiometry.

Body compositional differences between Black and White adults are well-known. It has become increasingly apparent that these racial variations may begin in childhood. Previously, our group validated tetrapolar bioelectrical impedance (BIA) measurements against H2(18O) dilution method to develop prediction formulas of fat free mass (FFM) in healthy White-American children: FFM = 0.524 Ht2/R + 0.415 Wt 0.32. In the present study we used BIA to establish a FFM prediction equation for forty African-American children (19 males and 21 females). Of the females, six were diagnosed with polycystic ovary syndrome (PCOS) and were obese. FFM was determined by dual energy X-ray absorptiometry (DEXA). Impedence measurements by BIA showed a strong correlation with FFM determined by DEXA. In healthy Black children, FFM = 0.84 Ht2/R + 1.10 with a standard error of estimate (SEE) of 1.47 kg (R2 = 0.97). In Black females with PCOS, FFM = 0.62 Ht2/R + 0.21 Wt - 1.94 with a SEE of 1.43 kg (R2 = 0.99). The observed differences in the prediction equations of FFM between White-American and African-American children underline the importance of using race-specific formulas in evaluating body composition. With the overall increase in rates of childhood obesity and more so in the Black race, BIA is an easy and useful tool for the assessment and follow up of body compositional changes with lifestyle interventions.

Absorptiometry, Photon↗

PubMed1976

Relationship of body composition to somatotype.

The purpose of this study is to determine the relationship in college-aged women between somatotype using both Sheldon's ('69) and Heath and Carter's ('67) procedures, and body composition, as measured by whole-body 40K counting and body density. Sheldon's endomorphy is closely associated with height and weight; Heath and Carter's first component is significantly related to weight and body fatness. Lean body mass (LBM) as a weight or as a percent is not closely related to Sheldon's mesomorphy or Heath and Carter's second component. However, when LBM and height are used as independent variables to estimate somatotype, both variables are significantly related to Heath and Carter's second component, accounting for 61% of the variance. Thus Heath and Carter's second component is significantly associated with LBM for a given body height. Most of the variation in Sheldon's ectomorphy and Heath and Carter's third component can be accounted for by weight and height. Sheldon's somatotype for all three components is not as closely related to body composition as Heath-Carter's. Body composition, as measured by either 40K counting or body density, is found to be important in accounting for variation in Heath and Carter's first and second components.

Adolescent↗

PubMed1997

Body composition analysis by dual energy X-ray absorptiometry in female diabetics differ between manufacturers.

OBJECTIVE: Comparison of body composition results by two dual energy X-ray absorptiometry (DXA) instruments, namely QDR-2000 from Hologic Inc and from Lunar in subpopulations of lean and obese subjects. DESIGN: Cross-sectional study with 85 female diabetics (BMI 18-43 kg/m2) measured with both DXA instruments. RESULTS: The regression lines for fat tissue mass (FTM), FAT% and total body bone mineral content (TBMC), but not lean tissue mass (LTM), were different from the line of identity (P < 0.01). However, the relationships were high (r2 > 0.95), and the corresponding SEE%'s were low (0.8-4.8%), and were independent of BMI. FTM and FAT% measured by the QDR-2000 were 10% higher, and LTM and TBMC 6% lower, than by DPX (P < 0.001). CONCLUSIONS: There were lack of agreements between total body composition results by DPX Lunar, and QDR-2000 Hologic Inc. Individual results on the two systems cannot be directly compared. Standardization of body composition measurements by DXA is strongly needed.

Absorptiometry, Photon↗

PubMed2001

Comparison of two software versions for assessment of body-composition analysis by DXA.

OBJECTIVE: To compare two software versions provided by Lunar CO: for assessment of body composition analysis by DXA. RESEARCH METHODS AND PROCEDURES: Soft-tissue phantoms for lean tissue (water) and fat tissue (methanol) were repeatedly scanned using DXA machines (DPX-L; Lunar CO., Madison, WI) and analyzed using software version 1.33 and the updated year 2000-compatible version 1.35. For the intersoftware comparison, the phantoms were scanned 10 times (each scan was analyzed once) with both software versions using all three scanning modes (slow, medium, and fast) for a total of 60 scans and analyses. For the intermachine comparison, the same phantoms were scanned three times (each scan was analyzed once) with a second machine from the same manufacturer using all three scanning modes and version 1.35 only. Percentage of fat was the variable of interest. RESULTS: For version 1.33, fat was 9.9 +/- 0.4%, 10.0 +/- 0.5%, and 11.0 +/- 0.5% (mean +/- SD) for the lean-tissue phantom and 50.8 +/- 0.3%, 50.9 +/- 0.5%, and 51.1 +/- 0.6% for the fat-tissue phantom using the slow, medium, and fast scanning modes, respectively. For version 1.35, the respective fat values were 9.8 +/- 0.7%, 9.9 +/- 0.4%, and 10.3 +/- 0.7%, and 50.6 +/- 0.5%, 50.9 +/- 0.6%, and 50.8 +/- 0.8%, respectively. For the lean-tissue phantom, the estimation of percentage of fat was significantly (p < 0.05) affected by scanning mode but not by software version. For the fat-tissue phantom, the estimation of percentage of fat was not affected by either scanning mode or software version. The use of version 1.35 did not effect intermachine variability. DISCUSSION: Versions 1.33 and 1.35 of the Lunar body composition software appear to be comparable. Soft-tissue phantoms, such as the ones described in this paper, may be useful in monitoring the reproducibility of body composition analyses within and between DXA machines, particularly in longitudinal studies.

Absorptiometry, Photon↗

PubMed2005

Angiotensin-converting enzyme inhibition intervention in elderly persons: effects on body composition and physical performance.

The disablement process is often accompanied by sarcopenia or muscle loss, which is associated with virtually all identified disability risk factors. Clinically, the association between body composition and physical performance has been documented by several studies. However, loss of strength is greater than loss of muscle mass with age implying that the quality of remaining muscle may be reduced. Although there are limited data explaining potential physiological mechanisms that contribute to muscle quality, sarcopenia is frequently associated with fat accumulation, and the percentage of body fat increases with age even if weight does not. However, the relationship between fat and muscle function may not be linear, suggesting that there may be an optimal ratio of lean to fat mass for physical function. There are no definitive pharmacological interventions proven to prevent decline in physical function either by modulating body composition or by other means. One exception may be angiotensin-converting enzyme inhibitors (ACEIs). ACE is an important component of the renin-angiotensin system, the central hormonal regulator of blood pressure. Recent evidence suggests that ACEIs may improve physical function by means of direct effects on body composition in older persons, rather than through its blood-pressure-lowering effects. Clinical and genetic studies in humans and experimental evidence in animals suggest that modulation of the renin-angiotensin system is associated with metabolic and biochemical changes in skeletal muscle and fat, changes that are associated with declining physical function. ACEIs may modulate this process through a variety of molecular mechanisms including their influence on oxidative stress and on metabolic and inflammation pathways. This review describes potential biological mechanisms of ACE inhibition and its contribution to declining physical performance and changing body composition. Promising pharmacoepidemiological studies and experimental evidence in animals suggest that there are appropriate models in which to study this effect.

Aged↗

PubMedDate not supplied

The effects of caloric restriction on the body composition and hibernation of the golden-mantled ground squirrel (Spermophilus lateralis).

In preparation for hibernation, golden-mantled ground squirrels (Spermophilus lateralis) must deposit sufficient amounts of lipid during the summer to survive winter hibernation. We conducted an experiment from May 1998 to February 1999 to examine the effects of caloric restriction on the body composition (lipid and fat-free mass) and hibernation of golden-mantled ground squirrels. Ground squirrels were either provided with food ad lib. (controls) or with only enough food to maintain a constant body mass throughout the experiment (calorically restricted). Changes in body composition were followed using total body electrical conductivity (TOBEC). Implanted data loggers that recorded body temperature were used to determine when ground squirrels entered their first torpor bout and the lengths of torpor bouts. Body composition did not change in the calorically restricted ground squirrels between May and September, while both lipid and fat-free mass increased in the controls. However, from September to February, calorically restricted ground squirrels lost only fat-free mass, not lipid mass, but controls lost both lipid and fat-free mass. Calorically restricted ground squirrels entered their first torpor bout about 4 wk after controls, but the torpor bout duration (or length) during hibernation did not differ between the two groups. These results show that ground squirrels maintain body composition during caloric restriction, and the limited quantities of stored lipid have an effect on when hibernation begins but not on torpor bout length.

Animals↗

PubMed1999

Body composition during GH treatment in Prader-Labhardt-Willi syndrome.

Prader-Labhardt-Willi syndrome (PLWS) is a model to study GH secretion, body composition and consequences of GH therapy. Twenty-seven patients were studied by dual-energy X-ray absorptiometry (DXA) and were each compared to two age- and sex-matched controls (obese and normal weight). Fat mass (FM) was significantly greater in PLWS than in patients with simple obesity; lean body mass (LM) and bone mineral content (BMC) were significantly lower compared to both controls. The peculiar body composition of PLWS patients seems to be similar to that found in GH deficiency. In six PLWS children treated with GH, LM increased after 6 months (p<0.02) up to 12 months (p<0.03); FM decreased in 5/6 patients. Obese adult PLWS patients treated with GH for 6 months showed a reduction in adiposity; LM increased significantly only in the leg compartment. Abdominal CT scan did not show a significant reduction of intrabdominal fat area. In conclusion, GH therapy might improve final stature and exert a positive influence on body composition in patients with PLWS.

Adipose Tissue↗

PubMed1998

Bone mass and body composition after cessation of therapy for childhood cancer.

Our aim was to review current information on body composition and bone mass after cessation of therapy for childhood cancer and to present preliminary data on body composition and bone mass in a group of Danish survivors of childhood leukaemia or lymphoma. Elevated body-mass index (weight/height2; BMI) is frequent after treatment for childhood acute lymphoblastic leukaemia. BMI increases during therapy or within the first year after therapy and remains abnormal thereafter. Treatment with corticosteroids, abnormal growth-hormone secretion after treatment with cranial irradiation (CI) or corticosteroids, younger age at diagnosis, or female gender were risk factors for elevated BMI in earlier studies. We evaluated 185 survivors of childhood leukaemia or lymphoma by dual-energy X-ray absorptiometry scanning. We found elevated whole-body relative fat mass, which was associated with CI. Other studies found reduced bone mass in the radius, the lumbar spine and the whole body after treatment for childhood cancer. Growth-hormone deficiency that is not adequately corrected, CI, reduced height or reduced weight were risk factors for reduced bone mass. In our 185 participants, the whole-body bone mass was also reduced significantly compared with reference values. CI and older age at follow-up were risk factors for reduced bone mass. We conclude that the elevated relative fat mass and reduced bone mass seen after treatment for childhood leukaemia or lymphoma is associated mainly with CI.

Adolescent↗