Body composition and hip fracture type in elderly women

Many observations support the view that there are significant differences between patients sustaining trochanteric fractures and those sustaining cervical fractures of the hip. Our aim was to evaluate the association between soft tissue composition (fat and lean compartments) and the type of hip fracture sustained. Of 120 consecutive women affected by their first hip fracture admitted to our rehabilitation hospital 102 were included in this cross-sectional study. Body composition was assessed by DXA. Body fat mass was lower in the women with trochanteric fracture than in those with cervical fracture (difference between groups: 2.86 kg; 95% CI 0.10–5.61 kg; p=0.042). The percentage of fat was 30.75±8.77 (mean±SD) versus 34.75±7.29 (difference between groups: 4.00; 95% CI 0.84–7.16; p=0.014). In contrast, no meaningful differences in body lean mass were shown between the two groups. Logistic multiple regression showed that fat mass was associated with the type of fracture independently of age, height, weight, time between fracture occurrence and DEXA assessment, comorbidity, number of drugs in use, lean mass and bone mineral content. The logistic regression results were similar when fat percentage was substituted for fat mass. The data show that fat but not lean body mass is associated with the type of hip fracture, contributing to the definition of the differences between patients sustaining cervical or trochanteric fractures. We stress the importance of distinguishing the two types of fracture when clinical or epidemiological studies related to body composition, including those regarding nutrition or physical exercise, are performed.Abbreviations BMD Bone mineral density - DEXA Dual-energy X-ray absorptiometry - BMC Bone mineral content     

Dual energy X-ray absorptiometry body composition and aging in a population-based older cohort

OBJECTIVE: The aims of this cross-sectional study were (1) to examine the effect of age on body composition in older adults using dual-energy X-ray absorptiometry (DXA) and (2) to evaluate the agreement of DXA with standard indirect anthropometric measures (body mass index (BMI), waist circumference and waist-to-hip ratio (WHR)). RESEARCH METHODS AND PROCEDURES: A population-based sample of 731 adults aged between 50 and 79 years underwent measurement of BMI, waist circumference, WHR, DXA total body fat mass, DXA % total body fat, DXA % trunk fat and DXA lean body mass. Linear regression was used to test for trend in measures of body composition between age categories in men and women. Partial correlations and Bland-Altman analysis were used to examine the agreement of DXA measures with indirect measures. RESULTS: DXA lean body mass decreased significantly with increasing age in both sexes (P<0.05). In males, BMI (P=0.01) and body weight (P<0.01) decreased with age, and in females, WHR (P=0.05), DXA % total fat (P=0.02) and DXA % trunk fat (P=0.05) increased with age. There was good agreement between DXA measures of fatness and indirect anthropometric measures, except for WHR, which showed greater variability in its comparisons with DXA. CONCLUSION: Using the highly sensitive and direct DXA method of measuring body composition, a decline in lean body mass and an increase in adiposity was observed with aging. Except for WHR, indirect anthropometric measures generally showed high levels of agreement with DXA fat measures in this older cohort.     

Relationship between leptin levels and bone mineral density in the elderly

OBJECTIVE: To assess the relationship between circulating leptin levels, bone mineral content and density in the elderly. DESIGN: A cross-sectional study. PATIENTS: A cohort of 92 men and 171 women, with ages ranging from 68 to 75 years, selected as a healthy and normal functioning group, in the city centre of Verona. MEASUREMENTS: Plasma leptin levels were determined in each participant. Body composition was evaluated with dual energy X-ray absorptiometry (DXA). Bone mineral content (BMC) and bone mineral density (BMD) were measured at whole-body, hip and femoral neck level in all subjects. RESULTS: In both men and women a significant relationship between fat mass and whole-body BMC or BMD was found. The strength of this association was consistently reduced after adjustment for plasma leptin. A significant association between circulating leptin levels, whole-body, total hip and femoral neck BMC and BMD was found in both sexes. This association retained the statistical significance after adjustment for fat mass percentage, especially in women. In stepwise multiple linear regression analyses, leptin was shown to be a significant predictor of whole-body, total hip and femoral neck BMC and BMD, independently of age and the percentage of body fat in both sexes. The circulating levels of leptin accounted for a variance in whole-body BMC of 8.9% in men and 18.2% in women, and in whole-body BMD of 10.6% in women. CONCLUSION: Our data show a significant relationship between leptin, bone mineral mass and density in healthy elderly men and women.     

Timing of peak bone mass: discrepancies between CT and DXA

CONTEXT: The time of life in which peak bone mass in the axial skeleton is attained has been the subject of considerable controversy, with estimates ranging from the time of sexual and skeletal maturity to the fifth decade of life. OBJECTIVE: The objective was to examine whether dual energy x-ray absorptiometry (DXA) and computed tomography (CT) values for bone mass and bone density (BD) in the axial skeleton increase after sexual and skeletal maturity. DESIGN/PARTICIPANTS: Measurements of vertebral bone mineral density and bone mineral content (BMC) by DXA and vertebral BD and BMC by CT were obtained in 50 sexually and skeletally mature white females at baseline and 3 yr later. CT BMC values were calculated through analysis of vertebral volume in relation to density (BMC = vertebral volume x BD). RESULTS: Although neither CT BD nor BMC measures changed with time, DXA bone mineral density and BMC values were significantly higher at follow-up (P < 0.0001). Despite strong correlations between DXA and CT bone measures, DXA yielded greater changes in bone values in 47 of 50 subjects. CONCLUSIONS: Bone acquisition in the lumbar spine as measured by CT reaches its peak by sexual and skeletal maturity. In contrast, bone values by DXA continue to increase after puberty and cessation of longitudinal growth. Increases in DXA measures are likely a reflection of inhomogeneous changes in soft tissues around the spine or of disproportionate increases in the posterior elements of the vertebrae rather than of changes within the vertebral body.     

The relationship between body composition and bone mineral density in postmenopausal Turkish women

In a retrospective cross-sectional study among 202 postmenopausal women aged 46–75 years, we aimed to investigate the relationship between body composition and bone mineral density (BMD) to determine whether fat mass or lean mass is a better determinant of BMD in Turkish postmenopausal women. Lumbar spine (L1–L4) and proximal femur BMD were measured by dual energy X-ray absorbsiometry. Body composition analysis was performed by bioelectric impedance method and fat mass, lean mass, and percent fat were measured. Both fat mass and lean mass were positively correlated with BMD at the lumbar spine and proximal femur, weight and body mass index. Lean mass was also positively correlated with height and negatively correlated with age and years since menopause (P < 0.01). The correlations of fat mass and lean mass with BMD at the lumbar spine and proximal femur remained significant after adjustment for age, years since menopause and height. When the lean mass was adjusted together with age, years since menopause and height, the significant relationship between the fat mass and BMD continued, however the significant correlation between the lean mass and BMD disappeared at all sites after adjustment for fat mass. In multiple regression analyses, fat mass was the significant determinant of all BMD sites. Our data suggest that fat mass is the significant determinant of BMD at the lumbar spine and proximal femur, and lean mass does not have an impact on BMD when fat mass was taken into account in Turkish postmenopausal women.     

Relationship Between Total Body Adiposity Assessed by Dual-Energy X-ray Absorptiometry,Birth Weight and Metabolic Syndrome in Young Thai Adults

Objective: The aim of this study was to compare body fat distribution using dual-energy X-ray absorptiometry (DXA) in young adult subjects with metabolic syndrome (MS) with those without MS and also to determine whether a significant association existed between total body fat mass (FM) and MS along with the effect of birth weight.Methods: This cross-sectional study was conducted on 393 young adult subjects (175 male, 218 female). Body mass index (BMI), waist circumference, blood pressure, triglyceride, high-density lipoprotein cholesterol and glucose levels were determined. Total body FM, lean mass (LM) and percentage of body fat (%BF) were assessed by DXA. Adult Treatment Panel III criteria were used for the diagnosis of MS.Results: The prevalence of MS was 5.6% among this group of young adult subjects aged 18.5-21.8 years. Subjects with MS (n=22) had significantly higher values for weight, height, BMI, waist circumference, %BF, total body FM, total body LM, and regional FM and LM. There was no statistically significant difference in bone mineral density between the two groups. There was also no association between birth weight and MS. Multiple logistic regression analysis showed that every 5 kg of total body FM (OR 1.68; 95%CI 1.06-2.66) adjusted for gender, birth weight status, and total body LM were significantly associated with MS.Conclusion: Total body FM measured by DXA was related to MS in Thai young adults. Thus, body composition analysis might have a role in the identification of subjects with MS status.Conflict of interest:None declared.     

Bone acquisition in healthy children and adolescents: comparisons of dual-energy x-ray absorptiometry and computed tomography measures

The effect that growth has on dual-energy x-ray absorptiometry (DXA) bone measurements is yet to be fully defined. The purpose of this study was to determine the best method for optimizing pediatric bone measurements using DXA. Height, weight, body mass index, skeletal age, and Tanner stage of sexual development were determined for 64 healthy boys and 60 healthy girls ages 6-17 yr. DXA of the lumbar vertebrae was performed to measure bone mineral content (BMC, grams) and areal bone mineral density (aBMD, grams per square centimeter), and geometric corrections were used to calculate volumetric bone mineral densities (vBMD): vBMD1 = aBMD/ radical(DXA-area) and vBMD2 = aBMD/bone height. Computed tomography (CT) imaging was performed to measure volumetric bone density (vBD) and vertebral volume (Vol) and to calculate CT-BMC = vBD * Vol. Linear regression was used to compare DXA-BMC vs. CT-BMC and CT vBD vs. DXA aBMD, vBMD1, and vBMD2. Multiple regression including the anthropometric and developmental parameters was also performed. DXA and CT BMC were highly correlated (r2= 0.94). However, DXA aBMD correlated more strongly with CT Vol (r2= 0.68) than with CT density (r2= 0.39), and calculation of DXA volumetric densities only slightly improved the density correlations (r2= 0.49 for vBMD1; r2= 0.55 for BMD2). The correlations for density were particularly poor for subjects in Tanner stages 1-3 (r2= 0.02 for aBMD; r2= 0.13 for vBMD1; r2= 0.27 for vBMD2). In contrast, multiple regression accounting for the anthropometric and developmental parameters greatly improved the agreement between the DXA and CT densities (r2= 0.91). These results suggest that DXA BMC is a more accurate and reliable measure than DXA BMD for assessing bone acquisition, particularly for prepubertal children and those in the early stages of sexual development. Use of DXA BMD would be reasonable if adjustments for body size, pubertal status, and skeletal maturity are made, but these additional assessments add significant complexity to the studies.     

Lean mass and physical activity as predictors of bone mineral density in 16–20-year old women

OBJECTIVE: The aim of the study was to quantify the inter-relationship between bone mineral density and physical activity, muscle strength, and body mass composition in a group of healthy 16-20-year-old women. DESIGN: A cross-sectional study. SETTING: Reykjavik area. SUBJECTS: Two-hundred and fifty-four Icelandic Caucasian women aged 16, 18 and 20 years, randomly selected from the registry of Reykjavik. MAIN OUTCOME MEASURES: Bone mineral content (BMC) and density (BMD) in lumbar spine, hip, distal forearm and total skeleton and lean mass and fat mass were measured with dual energy X-ray absorptiometry (DEXA) and compared with grip strength measured with a dynamometer and physical activity as assessed by a questionnaire. RESULTS: The lean mass had the strongest correlation with BMC and BMD, stronger than weight, height and fat mass, both in univariate analysis (r = 0.41-0.77; P<0.001) and in linear regression analysis. The total skeletal BMD was logarithmically higher by hours of exercise per week (P<0.001)). About 30% of variability in total skeletal BMD in this age group can be predicted by lean mass and physical exercise. CONCLUSIONS: Modifiable factors, such as exercise and adequate muscle seem to be significant predictors of the attainment of peak bone mass in women.     

Determinants of bone mineral density, bone mineral content, and body composition in a cohort of healthy children: influence of sex, age, puberty, and physical activity

Interventions directed to the recognition of abnormal bone mineral density, bone mineral content, and body composition in the pediatric age require the definition of factors influencing bone mass acquisition during growth. We have evaluated in a cross-sectional manner by dual-energy X-ray absorptiometry the impact of sex, age, puberty, and physical activity on total body areal bone mineral density, regional (lumbar and femoral) bone mineral densities, bone mineral content, and body composition (fat mass and lean mass) in a cohort of 359 healthy Italian children aged 3-14 years and investigated their specific contribution to bone mass accrual. Statistical multiple regression analysis was performed dividing the population in pre- and post-pubertal groups. Bone mineral density at the lumbar spine has resulted equally distributed in both sexes before puberty while has resulted higher at the femoral necks in males at whatever age. A significant effect on bone mass acquisition was exerted by male sex and lean mass. In the areas where the cortical bone is prevalent, males of the pre-pubertal group have presented the highest values; in the areas where the cancellous bone is prevalent, both sexes were equivalent until the age of 9 years, but after this age, females have presented higher increases, probably related to the inferior dimensional development of lumbar vertebrae. Conclusively, male sex and lean mass seem to represent independent predictors of bone mass accrual in the cortical bone of the examined children, while female sex and pubertal maturation are independent predictors of bone mass accrual in the trabecular bone.     

Systemic sclerosis and bone loss: the role of the disease and body composition

OBJECTIVES: Studies on body composition are not available in systemic sclerosis (SSc). As this variable may play an important role in bone loss we have analysed bone mineral density (BMD) and body composition in SSc patients and healthy controls. METHODS: Forty-three postmenopausal SSc patients and 47 healthy postmenopausal women were studied. Patients with intestinal malabsorption, renal failure, current or past history of smoking or using osteopenic drugs were excluded. BMD and body composition was evaluated by dual X-ray absorptiometry (DXA). RESULTS: A higher frequency of osteoporosis in the lumbar spine (32.5%) and femoral neck (51.1%) was observed in SSc patients when compared to controls (14.8% vs. 19.1%; p<0.01). Multiple linear regression analysis revealed an association between the presence of SSc and low BMD. Body composition showed a reduced lean mass (33.15 vs. 39.99 g; p<0.01) and fat mass (21.05 vs. 26.82 g; p<0.01) in SSc when compared to controls. Lean mass was an important factor related to BMD in the lumbar spine and femoral neck. CONCLUSION: SSc may be an independent factor for low BMD. The low lean mass in these patients emphasizes the need for appropriate additional therapeutic measures to reduce bone loss in SSc patients.     

Body composition and bone mass in post-menopausal women

OBJECTIVE: We aimed to assess total body composition and to study the interrelationships between fat and lean tissue mass with total and regional bone mass in healthy British post-menopausal women. DESIGN AND PATIENTS: Total body composition and regional bone mass were measured in 97 healthy post-menopausal women recruited from the general community. The mean age was 57.9 years, range 49-65. MEASUREMENTS: Total body composition (fat, lean tissue and bone mineral) and regional bone density in the lumbar spine and femur were measured by dual energy X-ray absorptiometry on a Lunar DPX. RESULTS: Significant negative correlations with age were found for total body bone mineral density (r = -0.200, P = 0.049), and lumbar spine bone mineral density (r = -0.28, P = 0.006); the calculated rate of bone loss from these two sites was 0.33 and 0.7% per annum respectively. Fat tissue mass showed a positive correlation with age (r = 0.22, P = 0.03). High correlations were observed between total body and regional bone mineral density (r = 0.755-0.829, P < 0.001). After adjustment for age and lean mass, statistically significant correlations were seen between fat tissue mass and all bone mass measurements (P < 0.01-0.001), the strongest correlations being found for total body bone mineral content and density (r = 0.477 and 0.488 respectively). Lean tissue mass showed a strong correlation with total body bone mineral content (r = 0.580, P < 0.001), after adjustment for age and fat mass; it was less strongly correlated with other bone mass measurements than fat mass, showing only weak correlations with total body, trochanteric and lumbar spine bone mineral density (r = 0.228-0.246, P < 0.05). Age-adjusted body weight showed stronger correlations with total and regional bone mass than did either body mass index or height. CONCLUSIONS: Both fat and lean tissue mass are related to total and regional bone mass in post-menopausal women, the relationship being strongest for fat mass. Body weight shows stronger correlations with bone mass than either height or body mass index. In view of the direction and magnitude of changes in fat, lean tissue and bone mineral after the menopause, adiposity and muscularity are more likely to be determinants of peak bone mass than of the rate of post-menopausal bone loss.     

Influence of body composition on bone mass in postmenopausal osteoporotic women

We aimed at evaluating the relationship of lean and fat mass to bone mass in osteoporotic postmenopausal women. We invited 65 women who were being treated at the São Paulo Hospital osteoporosis outpatients’ clinic to participate. Body composition and bone mineral density (BMD) measurements were performed using Dual-energy X-ray absorptiometry methodology (DXA). The mean age and weight were 69.7 ± 6.4 years and 56.3 ± 7.6 kg, respectively. Accordingly to the body mass index (BMI), 52.8% were of normal weight and 47.1% of the patients were overweight. Overweight women had significantly higher bone mass. Similarly, skeletal muscle index (SMI) showed a positive effect on BMD measurements and women with sarcopenia had significantly lower BMD measurements in total femur and femoral neck. In multiple regression analysis only lean mass and age, after adjustments to fat mass and BMI, were able to predict total body bone mineral content (BMC) (R² = 28%). Also lean mass adjusted to age and BMI were able to predict femoral neck BMD (R² = 14%). On the other hand, none of the components of the body composition (lean mass or fat mass) contributed significantly to explaining total femur BMD and neither body composition measurements were associated with spine BMD. These findings suggest that lean mass has a relevant role in BMC and BMD measurements. In addition, lower BMI and lean mass loss (sarcopenia) is associated to lower BMC and BMD of femoral neck and total femur and possible higher risk of osteoporotic fracture.     

Leptin and bone mineral density: a cross-sectional study in obese and nonobese men

Leptin has been suggested to decrease bone mineral density (BMD). This observational analysis explored the relationship between serum leptin and BMD in 327 nonobese men (controls) (body mass index 26.1 +/- 3.7 kg/m(2), age 49.9 +/- 6.0 yr) and 285 juvenile obese men (body mass index 35.9 +/- 5.9 kg/m(2), age 47.5 +/- 5.1 yr). Whole-body dual-energy x-ray absorptiometry scan measured BMD, fat mass, and lean mass. Fasting serum leptin (nanograms per milliliter) was strongly associated with fat mass (kilograms) in both controls (r = 0.876; P < 0.01) and juvenile obese (r = 0.838; P < 0.001). An inverse relation between BMD adjusted for body weight and serum leptin emerged in both the control group (r = -0.186; P < 0.01) and the juvenile obese group (r = -0.135; P < 0.05). In a multiple linear regression, fat mass, lean body mass, and occupational physical activity were positively associated with BMD in the control group, whereas in the juvenile obese, only lean body mass was positively associated with BMD and smoking negatively associated with BMD. Our study supports that leptin is inversely associated with BMD and may play a direct role in the bone metabolism in nonobese and obese Danish males, but it also stresses the fact that the strong covariation between the examined variables is a shortcoming of the cross-sectional design.     

Relationships between serum adipokines, insulin levels, and bone density in girls with anorexia nervosa

BACKGROUND: Adolescents with anorexia nervosa (AN) have low bone mineral density (BMD). Adipokines and insulin play an important role in bone metabolism in healthy individuals. However, their association with bone metabolism in AN is unknown. OBJECTIVE: The aim of the study was to determine whether adipokines and insulin are independently associated with measures of BMD in adolescents with AN and controls. DESIGN/METHODS: Levels of adiponectin and insulin, fasting and after oral glucose, were evaluated in 17 AN patients and 19 controls (age, 12-18 yr), in whom hormonal parameters [GH, IGF-I, cortisol, estradiol, leptin, ghrelin, and peptide YY (PYY)] had been previously determined. Body composition, bone mineral content, and BMD at the lumbar spine, hip, femoral neck, and total body were assessed by dual energy x-ray absorptiometry. Two bone formation and bone resorption markers were examined. SETTING: The study was conducted at a General Clinical Research Center. RESULTS: Adiponectin differed between AN subjects and controls after controlling for fat mass and decreased in both after oral glucose (P = 0.02 and 0.07). On regression modeling, independent associations were observed of: 1) body mass index and adiponectin with lumbar spine bone mineral apparent density Z-scores (r(2) = 0.45); 2) lean mass, PYY, and ghrelin with hip Z-scores (r(2) = 0.55); 3) adiponectin and lean mass with femoral neck-bone mineral apparent density Z-scores (r(2) = 0.34); and 4) lean mass, PYY, GH, and ghrelin with total body-bone mineral content/height Z-scores (r(2) = 0.64), for the combined group. Adiponectin was also independently associated with BMD, and insulin was associated with bone turnover markers in the groups considered separately. CONCLUSIONS: Adiponectin contributes significantly to the variability of bone density, and insulin contributes to bone turnover markers in adolescent girls.     

Fat mass is an important determinant of whole body bone density in premenopausal women but not in men.

We recently reported that total body fat mass is the principal determinant of bone density in normal postmenopausal women. We have now reexamined the relationships among these variables and lean mass in 68 healthy premenopausal women and 51 men. Areal bone density (BMD), fat mass, and lean mass were measured in total body scans by dual-energy, x-ray absorptiometry. In women, BMD was correlated with weight (r = 0.69), fat mass (r = 0.60), and lean mass (r = 0.55). In men, the respective correlations were 0.56, 0.26 (NS), and 0.51. Multiple regression analysis confirmed a codependence of female BMD on fat and lean masses, whereas male BMD was related only to lean mass. Because BMD is an areal not volumetric density, it is dependent on body size. The analysis was therefore repeated using BMD/height as an index of "true" density. Correlations with fat mass were little changed but those with lean mass were reduced (women) or eliminated (men). By multiple regression, female BMD/height was related to fat mass alone, and in men there was a borderline effect of fat (P = 0.05) but none of lean mass. As a second method to exclude a scale artifact, fat mass was expressed as percent body weight. It was related to BMD (r = 0.48) only in women. It is concluded that bone density is closely related to fat mass in premenopausal women, but less so in men. In both sexes, apparent relationships between BMD and lean mass are artifacts attributable to the use of areal density (which is dependent on body size) as a surrogate for volumetric density. The mechanism of this fat-bone density relationship is an important question to be addressed in bone biology.     

Body composition and osteoporosis in elderly women

OBJECTIVES: To study body composition in elderly osteoporotic women to determine the relationship of body weight, body fat mass and lean mass to bone mineral density (BMD), and to investigate the association between one-leg balance, osteoporosis and sarcopenia. Design and Setting: A cross-sectional study of a community-based population in Toulouse, France. METHODS: For each participant, whole body composition and BMD were estimated using a dual-energy x-ray absorptiometry scanner. We investigated balance using a one-leg balance test. Participants: 129 healthy women aged 75-89 years, volunteers, ambulatory and living at home. RESULTS: Total fat mass and appendicular skeletal muscle mass (ASM) were significantly lower in osteoporotic women than in the age- and sex-matched non-osteoporotic controls [18.7 +/- 4.6 vs. 22.2 +/- 6.6 for total fat mass (p < 0.01); 13.1 +/- 1.6 vs. 13.8 +/- 2.2 for ASM (p < 0. 05)]. We did not find a positive association between osteoporosis and sarcopenia (OR = 0.75, CI 0.3-1.84), osteoporosis and one-leg balance (OR = 1.27, CI 0.51-3.17), or sarcopenia and one-leg balance (OR = 1.31, CI 0.52-3.36). There were significant positive correlations between BMD in all areas and body measurements (weight, fat mass, lean tissue mass), but fat mass accounted for more of the variance in total body and femoral BMD than lean tissue mass. Total fat mass alone, in a multivariate model, was correlated with whole body BMD, whereas femoral BMD was associated with both fat mass and lean tissue mass. CONCLUSION: Higher values of fat mass and lean tissue mass may have a protective effect on femoral bone density. Sarcopenia and osteoporosis are not necessarily linked with balance.     

Paternal skeletal size predicts intrauterine bone mineral accrual

BACKGROUND: We have previously demonstrated that maternal body build and lifestyle factors predict neonatal bone mineral accrual. However, the paternal determinants of neonatal bone mass are not known. In this study we explored the relationship between a father's bone mass and that of his offspring. METHODS: A total of 278 pregnancies (142 male and 136 female neonates) were recruited from the Southampton Women's Survey, a unique, well-established cohort of women, aged 20-34 yr, who had been assessed before and during pregnancy. The neonates and their fathers underwent whole body dual-x-ray absorptiometry (DXA) within 2 wk of birth using a Lunar DPX (General Electric Corp., Madison, WI) and Hologic Discovery instrument (Hologic Inc., Bedford, MA), respectively; correlation and regression methods were used to explore the parental determinants of neonatal bone mass. RESULTS: After adjusting the paternal DXA indices for father's age and the neonatal for baby's gestational age and age at DXA scan, there were highly significant positive associations between baby's whole body bone area, bone mineral content, and bone mineral density and the corresponding indices in the father (P = 0.003, 0.0002, 0.046, respectively) among female infants. These relationships were independent of maternal height and fat stores. The associations for male infants with paternal DXA indices did not achieve statistical significance. CONCLUSIONS: The father's skeletal size predicts skeletal size more strongly in female than male offspring, independently of the mother's body build. These data point toward the importance of considering paternal genotype in studies exploring the developmental origins of osteoporotic fracture and raise intriguing mechanistic questions about the gender specificity of influences on intrauterine bone mineral accrual.     

Body habitus changes, metabolic abnormalities, osteopenia and cardiovascular risk in patients treated for human immunodeficiency virus infection

The aim of this study was to evaluate the influence of three variables--protease inhibitors, stavudine, and the length of combined therapy--on body habitus changes, metabolic effects and bone mineral density in HIV patients treated with highly active antiretroviral therapy (HAART). The onset of possible cardiovascular involvement was considered. Forty HIV patients (29 men and 11 women, mean age 39.13 +/- 7.82 years, range 28-61 years) treated with HAART for 12-43 months were evaluated for fat, lean, bone tissues, immunohematological and cardiovascular alterations. The differences in fat/lean tissues and bone mineral density were evaluated at dual-energy X-ray absorptiometry (DEXA). Serum lipids and the CD4/CD8 T-cell counts were recorded. ECGs were taken every 6 months; color Doppler echocardiography and color Doppler ultrasounds of the carotid vessels were performed in close chronological sequence with the second DEXA. Statistical analyses included: Student's t-test, Wilcoxon test, and single-multiple regression analysis. Thirteen patients presented with fat loss, 7 fat accumulation, and 20 a combined form of both. The changes in the single body districts showed that the decrease in the limb fat is to be attributed to protease inhibitors, while none of the three variables was responsible for the decrease in the upper limb fat. The trunk weight increase was not significant. The decrease in the lean mass of the upper limbs is to be attributed to protease inhibitors, while none of the three variables was responsible for the increase in the lean mass of the upper and lower limbs. The decrease in bone mineral density was not significant. No treatment-related cardiovascular lesions were observed. In HIV patients treated with HAART for 12-43 months, the decrease in lower limb fat was due to protease inhibitors. Neither osteopenia nor cardiovascular diseases were observed during follow-up.     

Measurement of body fat in healthy elderly men: a comparison of methods

BACKGROUND: Nutritional evaluation of elderly people is of great importance. Two-component methods for body composition assessment, such as anthropometry and bioelectrical impedance (BIA), are widely used in clinical practice, but their fundamental assumptions may be invalid in older people. Dual-energy X-ray absorptiometry (DXA) is a relatively new method for reliable and direct measurements of body mass in its three basic components: total body bone mineral content (TBBMC), mineral free lean tissue mass (LTM), and fat. In this study, percent body fat (%BF) estimates from anthropometry and BIA in men of various ages were compared with corresponding measurements by DXA. METHODS: Body fat percentage was estimated in 67 men aged 20-95 by anthropometric measurements (skinfold thickness, body mass index, or BMI), BIA, and DXA. Age-specific equations were used for anthropometry and BIA. Limits of agreement were calculated between DXA and the other methods. RESULTS: The equations based on BMI and BIA systematically overestimated %BF with respect to %BF measured by DXA in people of all ages. Intermethod difference between DXA and skinfold thicknesses was less marked, but in over-80-year-olds %BF predicted by skinfold measurements underestimated %BF measured by DXA. Interindividual and age-related variation in TBBMC and in fat-free mass mineralization could partly explain the intermethod differences found between DXA and the other methods. CONCLUSIONS: Because of practical constraints, anthropometry and BIA are often the only available options for body composition assessment in clinical routine; therefore, further research on the validity and improvement of these methods in older people is indicated.     

Bone mineral apparent density in juvenile dermatomyositis: the role of lean body mass and glucocorticoid use

OBJECTIVE: To analyse bone mineral density (BMD) in juvenile dermatomyositis (JDM) and its possible association with body composition, disease activity, duration of disease, glucocorticoid (GC) use, and biochemical bone parameters, including osteoprotegerin (OPG) and receptor activator of nuclear factor kappaB (RANKL). METHODS: Twenty girls with JDM and 20 controls matched for gender and age were selected. Body composition and BMD were analysed by dual-energy X-ray absorptiometry (DXA) and bone mineral apparent density (BMAD) was calculated. Duration of disease, cumulative GC, and GC pulse therapy use were determined from medical records. Disease activity and muscle strength were measured by the Disease Activity Score (DAS), the Childhood Myositis Assessment Scale (CMAS), and the Manual Muscle Test (MMT). Inflammatory and bone metabolism parameters were also analysed. OPG and RANKL were measured in patients and controls using an enzyme-linked immunosorbent assay (ELISA). RESULTS: A lower BMAD in the femoral neck (p<0.001), total femur (p<0.001), and whole body (p = 0.005) was observed in JDM patients compared to controls. Body composition analysis showed a lower lean mass in JDM compared to controls (p = 0.015), but no difference was observed with regard to fat mass. A trend of lower serum calcium was observed in JDM (p = 0.05), whereas all other parameters analysed, including OPG and RANKL, were similar. Multiple linear regression analysis revealed that, in JDM, lean mass (p<0.01) and GC pulse therapy use (p<0.05) were independent factors for BMAD in the hip region. CONCLUSIONS: This study has identified low lean mass and GC pulse therapy use as the major factors for low hip BMAD in JDM patients.