Effects of tibolone and combined 17beta-estradiol and norethisterone acetate on serum C-reactive protein in healthy post-menopausal women: a randomized trial

BACKGROUND: Serum C-reactive protein (CRP) is an independent risk factor for the development of cardiovascular diseases in healthy post-menopausal women. Oral unopposed and progestin-combined 17beta-estradiol (E(2)) increase serum CRP in post-menopausal women. The aim of this study was to compare the effects of tibolone, a steroid with estrogenic, androgenic or progestogenic properties, with a combination of E(2) and norethisterone acetate (E(2) + NETA) on serum CRP levels in healthy post-menopausal women. METHODS: A total of 139 post-menopausal women (mean age: 55 years, range 44-48) was randomly assigned to receive tibolone 1.25 mg/day (n = 52), tibolone 2.5 mg/day (n = 39) or E(2) 2 mg/day plus NETA 1 mg/day (n = 48) for 2 years. Serum CRP was measured at baseline and at 6, 12 and 24 months. RESULTS: Both doses of tibolone and E(2) + NETA increased serum CRP by a similar extent as soon as 6 months with a sustained effect over the 24 month treatment period. For example, after 6 months of treatment, serum CRP increased by a median of +106% (P < 0.001), +89% (P < 0.05) and +139% (P < 0.001) for tibolone 1.25 mg/day, tibolone 2.5 mg/day and E(2) + NETA respectively. CONCLUSIONS: Tibolone and E(2) + NETA significantly increase serum CRP levels in healthy post-menopausal women to a comparable extent. Relationships between induced elevated CRP levels with tibolone and E(2) + NETA and cardiovascular events require further studies.     

Difference in the effects of body composition on bone mineral density between pre- and postmenopausal women

Objective: This study was to investigate whether the effect of lean and fat mass component on bone mineral density (BMD) differs between pre- and postmenopausal women. Materials and methods: Subjects were 360 pre- and 193 postmenopausal Japanese women with right side dominance. Age, height, and years since menopause (YSM, in postmenopausal women) were recorded. Body fat and lean body mass were measured by whole body scanning with dual-energy X-ray absorptiometry (DEXA). BMD of the vertical axis (L2-4 of the lumbar spine, pelvis, bilateral legs, and total body) and horizontal axis (arms) were also measured by DEXA. Results: In premenopausal women, lean body mass was independently correlated with BMD of the left arm (partial correlation COEFFICIENT=0.417), right arm (0.430), L2-4 (0.285), pelvis (0.276), left leg (0.403), right leg (0.412), and total body (0.377) (P<0.001). However, body fat mass was not correlated with several BMD sites except for pelvis BMD (0.187, P<0.01). In postmenopausal women, body fat mass was independently correlated with BMD of the left arm (0.248, P<0.01), L2-4 (0.188, P<0.05), pelvis (0.263, P<0.01), left leg (0.228, P<0.01), right leg (0.319, P<0.001), and total body (0.188, P<0.01)). However, lean body mass was correlated with BMD in only three segmental regions including left arm (0.175), right arm (0.217), and left leg (0.210; P<0.05). Conclusion: Lean body mass is a significant determinant of BMD in premenopausal women, while body fat mass is a significant determinant in postmenopausal women.     

Lean body mass and bone mineral density in physically exercising postmenopausal women

OBJECTIVES: To investigate whether the relative contribution of body composition (lean and fat mass component) to postmenopausal bone mineral density (BMD) differs between women participating in physical exercise and sedentary women. METHODS: Subjects were 45 postmenopausal women participating in regular physical exercise and 89 sedentary controls aged 50-60 years. Baseline characteristics included age, height, weight, body mass index (BMI, Wt/Ht(2)), age at menopause, and years since menopause (YSM). Body fat mass, percentage of body fat, lean body mass, and lumbar spine BMD (L2-4) were measured by dual-energy X-ray absorptiometry. RESULTS: Although age, height, weight, BMI, and YSM did not differ between the two groups, lean body mass and lumbar spine BMD were significantly higher (P<0.05 and <0.001, respectively), while body fat mass and percentage of body fat mass were significantly lower in exercising women than in sedentary controls (P<0.05 and <0.05, respectively). In exercising women, BMD was positively correlated with lean body mass (r=0.415, P<0.01) but not with body fat mass (r=0.155, NS). Conversely, in sedentary controls, BMD was correlated with body fat mass (r=0.251, P<0.05) and lean body mass (r=0.228, P<0.05). CONCLUSIONS: Lean body mass is a more significant determinant of postmenopausal BMD in physically exercising women than in sedentary women.     

Non-weight-bearing effect of trunk and peripheral fat mass on bone mineral density in pre- and post-menopausal women

ObjectiveTo investigate the non-weight-bearing effect of trunk fat mass (composed of visceral and subcutaneous fat mass) and peripheral fat mass (subcutaneous fat mass alone) on bone mineral density (BMD) in pre- and post-menopausal women.MethodsThe subjects were 412 pre-menopausal women, 20–50 years of age and 228 post-menopausal women, 50–75 years of age. Age, years since menopause (YSM), height, body weight, and body mass index were recorded. Trunk, peripheral (extremities), left arm (non-weight-bearing site), lean mass, and BMD were measured by dual-energy X-ray absorptiometry.ResultsIn pre-menopausal women, the amount of trunk fat mass was 6.8 ± 4.1 kg, which was significantly lower than the amount of peripheral fat mass (11.6 ± 3.8 kg, p < 0.001). Although trunk fat mass was positively correlated with arm BMD on Pearson's correlation test, arm lean mass was the only significant predictor of BMD on multiple regression analysis. In post-menopausal women, the amount of trunk fat mass (8.7 ± 3.6 kg) was also significantly lower than the peripheral fat mass (10.3 ± 3.4 kg, p < 0.001). On multiple regression analysis, however, trunk fat mass, but not arm lean mass, was the significant predictor of BMD. In both groups, peripheral fat mass was not correlated with left arm BMD.ConclusionThe effect of adipocyte-derived biochemical factors on BMD may differ with menopausal status and the sites of adipocyte deposition.     

The effects of physical exercise on body fat distribution and bone mineral density in postmenopausal women

OBJECTIVE: The present cross-sectional study investigated the effects of physical exercise on body fat distribution and bone mineral density (BMD). METHODS: Subjects were 57 postmenopausal women (mean age, 60.5+/-6.4 years) who had exercised regularly for at least 2 years. Controls were 130 age-matched sedentary women. Age, years since menopause (YSM), height, weight, and body mass index (BMI, wt./ht.(2)) were recorded. Total fat mass, percentage of body fat, trunk fat mass, leg fat mass, the ratio of trunk fat mass to leg fat mass (trunk-leg fat ratio), total body lean mass, percentage of body lean, and lumbar spine BMD (L2-L4) were measured by dual-energy X-ray absorptiometry. RESULTS: Baseline characteristics and leg fat mass did not differ between the two groups. Total fat mass, percentage of body fat, trunk fat mass, and trunk-leg fat ratio were lower (P<0.05, P<0.01, P<0.01 and P<0.001, respectively), while total body lean mass, percentage of body lean mass, and lumbar spine BMD were higher in exercising women (P<0.05, P<0.05 and P<0.01, respectively). Performing physical exercise was inversely correlated with trunk-leg fat ratio (standardized regression coefficient=-0.178, P<0.01), but positively correlated with BMD (0. 203, P<0.01) irrespective of age, height, YSM, and total fat mass. CONCLUSION: Physical exercise has beneficial effects on body fat distribution and BMD in postmenopausal women. Reduction of upper body fat distribution with physical exercise may be more attributable to the decrease in trunk fat mass.     

Relationship between estrogen use and musculoskeletal function in postmenopausal women

OBJECTIVES: The purpose of this study was to examine the relationship between estrogen use and muscle strength, bone mineral density (BMD), and body composition variables in postmenopausal women. Forty healthy, untrained women participated in this study. Subjects (53-65 years) were > or =5 years postmenopausal and were categorized into either estrogen replacement therapy (ERT n=20) or non-estrogen replacement therapy (Non-ERT n=20) groups. METHODS: Muscular strength was measured by 1-RM testing using Cybex isotonic weight machines. Handgrip strength was measured using a handgrip dynamometer. Diagnostic Ultrasound was used to determine cross-sectional areas of the biceps brachii and rectus femoris muscle groups. BMD of the lumbar spine, proximal femur, and total body was assessed by Dual Energy X-Ray Absorptiometry (Lunar DPX-IQ). Body composition variables were obtained from the total body scan. Serum osteocalcin was measured as an indicator of bone remodeling. RESULTS: There were no significant differences (P>0.05) for isotonic muscular strength, muscle cross-sectional areas, handgrip strength, or percent fat between ERT and Non-ERT groups. ERT had significantly higher (P<0.05) BMD for the total body, femoral neck and Ward's Area. There were moderate positive relationships between lean body mass and the hip sites (r=0.61-0.70, P<0.05). Regression analyses determined that lean body mass was the strongest predictor of the hip BMD sites. Estrogen use also was a significant predictor for the femoral neck and Ward's Area sites. CONCLUSION: Women taking estrogen exhibited similar muscular strength, muscle size, and body composition as their estrogen-deficient counterparts. Estrogen use was also associated with higher BMD for the total body and hip sites. Generally, body composition, specifically lean body mass, influenced hip BMD more than muscular strength or estrogen use.     

Body composition characteristics and body fat distribution in lean women with polycystic ovary syndrome

Body composition, fat distribution and bone mineral density were examined in lean women suffering from polycystic ovary syndrome (PCOS) and compared with body composition and fat distribution characteristics of weight-matched lean controls. Ten women with PCOS and a body mass index (BMI) below 25.00 (kg/m(2)) and 10 healthy women with a BMI below 25.00 (kg/m(2)) matched for age and weight and BMI as controls were enrolled in this study. Body composition and bone density were measured by dual-energy- x-ray-absorptiometry and fat distribution patterns were calculated. Although matched for age, weight and BMI, lean PCOS patients showed a significantly higher amount of body fat and lower amount of lean body mass than the controls. The majority of PCOS patients showed an intermediate or android kind of fat distribution. Only 30% of the lean PCOS patients corresponded to the definition of gynoid fat distribution while this was true of all lean controls.     

Relative contribution of aging and menopause to changes in lean and fat mass in segmental regions

Objective: The aim of the study was to investigate the relative contribution of aging and menopause to the changes in lean and fat mass in segmental regions. Materials and methods: Subjects were 365 pre- and 201 postmenopausal Japanese women aged between 20 and 70 years old. Age, height, weight, body mass index (BMI, Wt/Ht²), age at menopause, years since menopause (YSM), and menopausal status were recorded. Lean and fat mass of the arms, trunk, legs, total body, and the ratio of trunk fat mass to leg fat mass amount (trunk–leg fat ratio) were measured by dual-energy X-ray absorptiometry (DEXA). Regional (arms, lumbar spine, pelvis, legs, and total body) bone mineral density (BMD) were measured by DEXA. Results: Total body lean mass and regional BMD decreased (P<0.001), while percentage of body fat, trunk fat mass, and trunk–leg fat ratio increased (P<0.001) with aging and after menopause. On multiple regression analyses, trunk and total body lean mass were inversely correlated with menopausal status (P<0.001 and 0.05, respectively) but not with age. Trunk fat mass, trunk–leg fat ratio, and percentage of body fat were positively correlated with age (P<0.01) but not with menopausal status. Regional BMD were more inversely correlated with menopausal status (P<0.001) than age. Conclusion: Decrease in lean mass and BMD are more menopause-related, while the shift toward upper body fat distribution and overall adiposity are more age-related. Lean tissue is similar to bone tissue from the viewpoint of more undergoing menopausal effect.     

Serum leptin levels and body composition in postmenopausal women treated with tibolone and raloxifene

OBJECTIVE: To compare body composition and serum leptin levels in untreated postmenopausal women and postmenopausal women treated with tibolone or raloxifene. DESIGN: This was a prospective, randomized, controlled study. Sixty-eight postmenopausal women were randomized to receive either no treatment (group A, n = 21) or tibolone 2.5 mg/day (group B; n = 23) or raloxifene 60 mg/day (group C; n = 24). All women underwent height, weight, body mass index evaluation and dual energy x-ray absorptiometry determination of body composition at the beginning of the study and after 12 months. Serum leptin levels were determined at the beginning of the study and after 1, 3, 6, and 12 months in all groups. RESULTS: Women in group A showed no significant changes in both fat and lean mass of arms and legs, whereas a significant increase in trunk fat mass, total fat mass, total percentage of body fat, and trunk percentage of fat was detected 1 year after the beginning of the study. After 12 months, the total percentage of fat mass was significantly higher in group A compared with group B, and the trunk percentage of fat mass was significantly higher in group A compared with groups. In subjects in groups B and C, after 1 year, fat mass, both total and at all areas evaluated, did not show any significant change compared with baseline values. In subjects in group B, total lean and lean mass of the trunk and legs increased significantly at the end of the study, whereas no significant changes were observed in lean mass, total and at all areas evaluated in subjects in group C. After 12 months, total lean mass and lean mass of the legs were significantly higher in group B compared with the other groups. In group A, serum leptin levels were significantly increased at the end of the study compared with baseline values. Leptin concentrations were significantly higher in group A compared with groups B and C after 6 and 12 months. No significant change in serum leptin levels in subjects in groups B and C was detected throughout the study. Serum leptin levels showed a positive, significant correlation with all body composition parameters and body mass index in all groups at the beginning and at the end of the study. CONCLUSIONS: The present study confirms that postmenopausal hypoestrogenism leads to increased fat content and serum leptin levels. Raloxifene and tibolone seem to prevent postmenopausal body composition changes without significant modifications of serum leptin levels.     

Relationship of head lean mass to regional bone mineral density in elderly postmenopausal women

OBJECTIVES: This study investigated the relationship of head lean mass to bone mineral density (BMD). METHOD: Subjects were 102 elderly women (> or =65-years-old) and 123 middle-aged postmenopausal women (<65-years-old) with right-side dominance. Age, height, weight, and years since menopause (YSM) were recorded. Lean mass of the head, arm, trunk, leg, and total body were measured by dual-energy X-ray absorptiometry (DEXA). BMD of the same regions were measured by DEXA. RESULTS: In elderly women, head lean mass was positively correlated with BMD of the head (r=0.389, P<0.01), left arm (r=0.235, P<0.05), right arm (r=0.280, P<0.05), lumbar spine (L2-4) (r=0.411, P<0.001), pelvis (r=0.490, P<0.001), left leg (r=0.572, P<0.001), right leg (r=0.558, P<0.001), and total body (r=0.529, P<0.001). These relationships remained significant after adjusting for age, height, and YSM. In addition, the strength of correlation of head lean mass with BMD was higher than those of other regional lean mass with respective BMD. In middle-aged women, strength of correlation of head lean mass with BMD was loose (r< or =0.238), while regional lean mass was more correlated with respective regional BMD. CONCLUSION: Factors related to lifestyle associated with higher (lower) head lean mass may contribute to higher (lower) BMD in elderly postmenopausal women.     

Body composition characteristics are associated with the bone density of the proximal femur end in middle- and old-aged women and men

OBJECTIVES: In the present study the associations between bone density of the proximal femur end and weight status, fat distribution patterns (FDI) and body composition parameters i.e. amount of body fat and lean body mass were tested in a sample of old aged women and men. METHODS: In 77 healthy women ranging in age from 60 to 92 years (x=71.8 years) and 62 healthy men ranging in age from 60 to 86 years (x=71.5 years) the bone mineral density (BMD of the proximal femur end and the body composition parameters absolute fat mass, relative fat mass, lean body mass and bone mineral content were estimated by dual energy X-ray absorptiometry. Additionally, the weight status (body mass index, BMI) and the FDI were calculated. The bone density of the proximal femur end was correlated with the absolute fat mass and the lean body mass as well as with the BMI and the FDI. RESULTS: BMD correlated in females significantly positively with parameters of body composition, in males no significant correlations between fat mass (absolute and relative) and BMD as well as BMD/stature was found. Furthermore, it was shown that the weight status (BMI; r(2)=0.13, P<0.0003 in males and r(2)=0.27, P<0.000 in females), and the lean body mass (r(2)=0.21, P<0.001 in males, r(2)=0.36, P<0.004 in females) were associated significantly positively with the BMD of the proximal femur end in both sexes. The absolute fat mass had a significant impact on BMD in the female subsample only (r(2)=0.24, P<0.000). CONCLUSIONS: A lower weight status and a low amount of lean body mass, indicating not only lack of biomechanical forces of the proximal femur end, but also a lack of physical activity can be assumed to be associated increased bone loss and the development of osteoporosis in both sexes. An association between low amount of fat tissue and decreased BMD was especially found in women and may be due to the reduced conversion rates from androgens to estrogens in a low amount of fat tissue.     

Effects of tibolone on body composition in postmenopausal women: a 1-year follow up study

Objective: We investigated the effects of 1-year tibolone treatment on body weight, body composition and indices of android obesity in postmenopausal women.

Methods: Forty-four postmenopausal women participated in this open-label controlled study; mean age was 51.8 ± 2.21 years and all women were menopausal for 3.8 ± 1.40 years. Twenty-two of them started taking 2.5 mg tibolone (TIB) daily for 1 year, whereas the remaining 22 served as age-matched controls. All subjects underwent a structured interview, physical examination, body composition measurements performed by dual-energy X-ray absorptiometry (DXA) — Hologic QDR 4500 A, as well as bioelectrical body impedance analysis (BI) — Tanita TBF-215, Japan.

Results: The TIB group did not significantly increase their weight (+0.4 kg), while the non-treated controls increased their mean weight by 1.4 kg (p = 0.046). In the TIB group, DXA showed a non-significant body fat decrease by a mean of 0.5 kg and a non-significant lean mass increase by 0.8 kg, while in the control group, fat mass increased by 1.7 kg (p = 0.032) and lean mass did not change. BI revealed that the TIB group had lost some fat (≈0.6 kg, n.s.) and put some free-fat mass (≈1.0 kg, p = 0.048) without changes in total body water. The control group put on some fat (≈1.1 kg, p = 0.042) and lost some body water (≈0.4 kg, n.s.).

Conclusion: Results from both methods of measuring body composition show a similar trend: a decrease in fat mass and an increase in lean mass in TIB treated subjects. From the body composition perspective, tibolone may be regarded as a preferential alternative to conventional hormonal therapy (HT) in postmenopausal women.     

Difference in the effect of adiposity on bone density between pre- and postmenopausal women

Objectives: Elevated bone mineral density (BMD) in obese women is partially attributable to the higher circulating estrogen levels derived from extraglandular aromatization in adipose tissue. However, it remains unclear whether there is an effect of overall adiposity on BMD in both pre- and postmenopausal women. The difference in the effect of overall adiposity on BMD between pre- and postmenopausal women was investigated. Materials and methods: Subjects were 296 premenopausal women with regular menstruation and 233 postmenopausal women. Age, age at menarche, years since menopause (YSM, in postmenopausal women), weight, height, and body mass index were recorded. Total fat mass amount, lean mass amount, and percentage of body fat were measured by whole body scanning with dual-energy X-ray absorptiometry (DEXA). Lumbar spine BMD (L2–L4) was measured by DEXA. In each group, significant determinants of BMD were investigated using univariate and stepwise multiple regression analysis. Results: In postmenopausal women, YSM, lean mass amount, total fat mass amount, and height were significant determinants of BMD (R²=0.273, P<0.001). In premenopausal women, only two variables including lean mass amount and age at menarche were significant determinants of lumbar spine BMD (R²=0.110, P<0.001), but total fat mass amount and percentage of body fat were not significant determinants of BMD. Conclusion: The effect of overall adiposity on BMD is more prominent in postmenopausal women than in premenopausal women.     

No increase in C-reactive protein levels during intranasal compared to oral hormone therapy in healthy post-menopausal women

BACKGROUND: Inflammation plays an important role in the development of atherosclerotic disease. Oral post-menopausal hormone therapy increases serum C-reactive protein (CRP) levels. This study compared the effects of intranasal and oral administration of 17beta-estradiol (E2) combined with norethisterone acetate (NETA) on markers of inflammation in healthy post-menopausal women. METHODS: Ninety healthy post-menopausal women (age 56.6 +/- 4.7 years) participated in this 1-year trial. After computerized block randomization, they daily received, in a double-blind fashion, either intranasal E2/NET [175 microg/275 microg (n = 47)] or oral E2/NETA [1 mg/0.5 mg (n = 43)]. Concentrations of high sensitivity CRP and adhesion molecules were measured at baseline and after 12, 24 and 52 weeks of treatment. RESULTS: CRP levels were increased (P = 0.001) in the oral but not in the intranasal group. The increase in the oral group was highest at week 12 (64.9%) and was larger (P < 0.01) compared with the non-significant increase (8.6%) found in the intranasal group. Both groups showed decreases (P < 0.001) in soluble vascular cell adhesion molecule (sVCAM), soluble intracellular adhesion molecule (sICAM) and sE-selectin. The decreases were larger (P < 0.01) in the oral than in the intranasal group. CONCLUSION: Intranasal E2/NET therapy did not significantly increase CRP levels, in contrast to the increase observed in the oral E2/NETA treatment group. Both intranasal and oral therapy lowered plasma concentrations of adhesion molecules, however, more so in the oral group.     

Association between bone, body composition and strength in premenarcheal girls and postmenopausal women

AIM: The study examined whether associations between bone, body composition and strength are age dependent. SUBJECTS AND METHODS: Two age levels (premenarcheal girls and postmenopausal women on HRT) were studied in a 10-month follow-up. Bone, lean and fat mass were measured by dual-energy X-ray absorptiometry (DXA), and strength was measured using an isokinetic dynamometer. RESULTS: In girls, significant correlations were found between mass (lean, fat and body mass), strength and most bone characteristics (r = 0.15-0.93). At the proximal femur changes in bone mineral density (BMD) were moderately related to changes in body composition. In the women, body mass and lean mass were significantly correlated with most bone characteristics (r = 0.34-0.82). Low to moderate correlations were observed between changes in bone and changes in body composition. After controlling for lean mass the relation between strength and bone was no longer significant. CONCLUSIONS: In premenarcheal girls, bone is partly determined by mass, with lean mass the most important predictor at the femoral sites. In postmenopausal women, lean mass is an important determinant of bone mineral content (BMC) and BMD, but changes in BMD are related to changes in fat. The relation between strength and BMD is mainly attributable to the relation between lean mass and BMD. The contributory effects of soft tissue to bone change over different life periods.     

Effect of physical activity on bone turnover in young boys

AIMS: To evaluate the effect of the physical activity on bone turnover in young male soccer players at the Tanner's stage of 1-2. MATERIAL AND METHODS: 61 young soccer players (13,4 +/- 0,3 years old) who actively participated in soccer since 3,7 +/- 0,7 years were compared to 60 age and sex- matched non active subjects. Bone mineral density (BMD) of whole body, and in specific skeleton sites, fatty body mass (FBM) and lean body mass (LBM) were determined by a dual energy X-ray absorptiometry (DXA). Total plasma alkaline phosphatase (ALP) and plasma bone alkaline phosphatase (BALP), plasma osteocalcin (OC) and plasma collagen type I cross-linked C-telopeptide (CTX) were measured. RESULTS: BMD of the whole body and at the lumbar spine (L2-L4), femoral, lower limbs and LBM were significantly higher in young soccer players than in controls. The biochemical markers of bone turnover: ALP (6,7%), BALP (8,9%), OC (3%) and CTX (3,1%) were not significantly higher in sportsmen than in controls. The calcium was significantly higher in sportsmen than in controls. CONCLUSION: These results suggest that soccer practice induced an increase of bone mass in boys. The increase in the level of bone turnover evaluated by the new biochemical markers was not significant in the sportsmen.     

Relationship between soft tissue body composition and bone mass in perimenopausal women

OBJECTIVES: Perimenopause, the transition into menopause, marks the beginning of accelerated bone loss, contributing to the development of osteoporosis, a major public health problem. This perimenopausal transition has also been associated with a decrease in body lean mass, an increase in fat mass, and an increase in body weight. How these changes in fat mass and lean mass may influence bone mineral density (BMD) is currently unknown. The purpose of this study is to determine the independent effect and relative contribution of lean mass and fat mass to BMD in perimenopausal women. MATERIAL AND METHODS: The sample consisted of 43 sedentary perimenopausal women (age: mean = 49.6; S.D. = 3.2) with an intact uterus and ovaries, participating in a study of exercise and perimenopausal symptoms. Total body BMD, regional BMD, and soft tissue body composition were measured by dual-energy X-ray absorptiometry. Other measures including age, height, weight, and serum FSH and E2 were also obtained. RESULTS: Findings revealed that 14% of these perimenopausal women had low bone mass (osteopenia) in the lumbar spine and/or the femoral neck. Overall body fat mass and lean mass had positive relationships with BMD of lumber spine and the femur. However, using multiple regression analyses, only lean mass and ethnicity remained significant predictors for BMD of the femoral neck (r2 = 45%) with lean mass explaining more variance than ethnicity. Lean mass was the sole predictor of total proximal femur BMD explaining 38% of the variance. Fat mass was not a significant predictor of BMD at any skeleton site. CONCLUSIONS: These findings suggest that body lean mass, not fat mass, is a significant contributor to femoral BMD in perimenopausal women.     

Comparison of nutritional parameters among adult and elderly hemodialysis patients

Aim: The aim of this study was to compare the nutritional biochemical parameters, prealbumin levels, and bioimpedance analysis parameters of adult and elderly hemodialysis (HD) patients.Methods: This prospective cross-sectional study included 50 adult HD patients (42.0 % female). Nutritional status was assessed by post-dialysis multifrequency bioimpedance analysis (BIA), serum prealbumin and other nutritional biochemical parameters.Results: Mean age of patients was 57.4±15.1 years (range: 30-83 years) and mean dialysis duration was 68.3 ± 54.5 months (range: 3-240 months). When the patients were divided into two groups according to age of patients (<65 and ≥65), prealbumin (p=0.003), blood urea nitrogen (BUN) (p=0.000), serum creatinine (p=0.013), albumin (p=0.016), protein catabolic rate per normalized body weight (nPCR) (p=0.001), intracellular water (ICW)/total body weight (0.003) , body fat mass (p00.000), lean body mass (p=0.031), lean dry mass (p=0.001), illness marker (p=0.005), basal metabolism (p=0.007), body mass index (BMI) (p=0.028), body fat mass index (BFMI) (p=0.000), fat free mass index (FFMI) (p=0.040) values were significantly different between the groups. In the elderly patients (age ≥65), body fat mass, illness marker, BMI, BFMI were higher compared to adult patients (age <65). Additionally, in the elderly patients, prealbumin, BUN, creatinine, albumin, nPCR, ICW/ total body weight, lean body weight, lean dry weight, basal metabolism and FFMI were lower than adult patients.Conclusions: Our results indicate that BFMI were higher, albumin, prealbumin, nPCR and lean body mass and FFMI were lower in elderly patients compared to adults. These results imply that elderly HD patients may be prone sarcopenic obesity and may require special nutritional support.     

Association between bone,body composition and strength in premenarcheal girls and postmenopausal women

Aim: The study examined whether associations between bone, body composition and strength are age dependent.

Subjects and methods: Two age levels (premenarcheal girls and postmenopausal women on HRT) were studied in a 10-month follow-up. Bone, lean and fat mass were measured by dual-energy X-ray absorptiometry (DXA), and strength was measured using an isokinetic dynamometer.

Results: In girls, significant correlations were found between mass (lean, fat and body mass), strength and most bone characteristics (r = 0.15–0.93). At the proximal femur changes in bone mineral density (BMD) were moderately related to changes in body composition. In the women, body mass and lean mass were significantly correlated with most bone characteristics (r = 0.34–0.82). Low to moderate correlations were observed between changes in bone and changes in body composition. After controlling for lean mass the relation between strength and bone was no longer significant.

Conclusions: In premenarcheal girls, bone is partly determined by mass, with lean mass the most important predictor at the femoral sites. In postmenopausal women, lean mass is an important determinant of bone mineral content (BMC) and BMD, but changes in BMD are related to changes in fat. The relation between strength and BMD is mainly attributable to the relation between lean mass and BMD. The contributory effects of soft tissue to bone change over different life periods.     

Association between bone mineral density (DXA), body structure,and body composition in middle‐aged men

The association between bone mass, body structure, and body composition was explored in 156 men, 40 years of AGE . Bone mineral density (total body, lumbar spine, left arm, and left leg) was obtained by dual‐energy X‐ray absorptiometry (DXA; Hologic QDR 4500A). Body structure was determined from a battery of anthropometric dimensions with a principal components analysis. Body composition was estimated with DXA. From the 24 anthropometric dimensions, three components were extracted and identified as muscle, fat, and skeletal length. Significant correlations between the muscle component and all BMD measurements (r = 0.28–0.44) were obtained. Except for BMD of the left arm, which correlated significantly, but negatively, with the fat component (r = ?0.16), no significant relations were found between the fat component and BMD. There were significant correlations between lean mass, fat mass, and BMD measurements. The correlations were higher between lean mass and BMD (r = 0.22–0.44) than between fat mass and BMD (r = 0.08–0.24). The multiple regression analysis revealed that except for BMD of the left arm only lean mass or the muscle component, and not fat mass or the fat component, were independent predictors of BMD. It is concluded that the principal anthropometric determinant of BMD in middle‐aged men is lean mass or muscle. Am. J. Hum. Biol. 14:735–742, 2002. © 2002 Wiley‐Liss, Inc.