Estrogen and Bone-Muscle Strength and Mass Relationships

Schießl, H.; Frost, Harold M.; Jee, Webster S. S.

doi:10.1016/s8756-3282(97)00223-8

Cited by 291 publications

(192 citation statements)

References 23 publications

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“…A close association exists between muscle and bone mass (Doyle et al, 1970;Ferretti et al, 1998;Wang et al, 1999). Our data showing reduced FFM and MM in parallel with a disturbed bone turnover in the AN patients compared to the control subjects (Table 1) are in agreement with the findings of Schiessl et al (1998). The fact that there was a close association between body mass, and FFM and MM in our study groups (Table 3) may explain why BFFMI and BMMI were not superior in predicting bone turnover compared to BMI (Results section).…”

Section: Discussionsupporting

confidence: 89%

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Body mass index and disease duration are predictors of disturbed bone turnover in anorexia nervosa. A case–control study

et al. 2003

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Objective: To characterize the influence of body mass index (BMI), body composition, hormonal factors and disease duration on bone metabolism markers in anorexia nervosa (AN) patients. Design: Case-control study with 51 AN patients and 51 controls matched for age, sex and body height. Assessment of anthropometric and bioimpedance data, and of biochemical serum parameters and of oral contraceptives use. Results: Patients had a lower BMI, lower fat mass, lower fat-free mass and lower muscle mass (MM) compared to the controls (all P values o0.001). Moreover, serum levels of osteocalcin (bone formation marker) were lower while serum C-telopeptide concentrations (CTx; bone resorption marker) and the CTx/osteocalcin ratio (an index reflecting the balance of bone remodeling) were higher in the AN patients compared to the controls (Po0.01-0.001). In addition, patients had enhanced serum calcium and cortisol levels and reduced serum levels of thyroid hormones, insulin, and leptin (P values o0.05-0.001). Mean disease duration was 91713 months. In a multiple regression analysis, BMI (Po0.0001), MM (Po0.005) and duration of the disease (Po0.005) were independent predictors of the CTx/osteocalcin ratio in the AN patients. There was a nonlinear association between BMI and the CTx/osteocalcin ratio of r ¼ À0.72 (Po0.001) in the AN patients, but only a weak relation of r ¼ À0.27 (Po0.05) between these parameters in the control subjects. Use of oral contraceptives had no effect on the CTx/ osteocalcin ratio, neither in AN patients nor in controls. Conclusions: Data indicate an uncoupling of bone formation and bone resorption in AN, which is primarily the result of a low BMI and influenced by the duration of the disease.

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Section: Discussionsupporting

confidence: 89%

“…According to the Utah paradigma of skeletal physiology, MM is the most important mechanical force on bone (Schiessl et al, 1998). A close association exists between muscle and bone mass (Doyle et al, 1970;Ferretti et al, 1998;Wang et al, 1999).…”

Section: Discussionmentioning

confidence: 99%

Body mass index and disease duration are predictors of disturbed bone turnover in anorexia nervosa. A case–control study

et al. 2003

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“…According to Schiessl et al (1998), more bone mass is accrued per lean body mass after puberty in girls than in boys. It has been speculated that this bone mass is not mechanically needed and serves as a surplus for reproduction.…”

Section: Introductionmentioning

confidence: 99%

Muscle mass and bone mineral indices: does the normalized bone mineral content differ with age?

et al. 2008

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Objective: To investigate the relationships between regional skeletal muscle mass (SM mass) and bone mineral indices and to examine whether bone mineral content (BMC) normalized to SM mass shows a similar decrease with age in young through old age. Subjects/Methods: One hundred and thirty-eight young and postmenopausal women aged 20-76 years participated in this study and were divided into three groups: 61 young women, 49 middle-aged postmenopausal women and 28 older postmenopausal women. Muscle thickness (MTH) was determined by ultrasound, and regional SM mass (arm, trunk and leg) was estimated based on nine sites of MTH. Whole-body and regional lean soft tissue mass (LSTM), bone mineral density (BMD) and BMC (whole body, arms, legs and lumbar spine) were measured using dual-energy X-ray absorptiometry. Results: Ultrasound spectroscopy indicated that SM mass is significantly correlated with site-matched regional bone mineral indices and these relationships correspond to LSTM. The BMC and BMD in older women were significantly lower than those in middle-aged women. When BMC was normalized to site-matched regional SM mass, BMC normalized to SM mass in arm and trunk region were significantly different with age; however, whole-body and leg BMC normalized to SM mass showed no significant difference between middle-aged and older postmenopausal women. Conclusions: The age-related differences in BMC were found to be independent of the ageing of SM mass in the arm and trunk region. However, differences in BMC measures of the leg and whole body were found to correspond to age-related decline of SM mass in postmenopausal women.

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“…2 Although it remains to be demonstrated empirically that muscle forces represent the primary stimulus driving bone adaptation, convincing evidence posits that maximal habitual muscle forces are capable of accounting for most of the bone's adaptive responses. [3][4][5] These research findings indicate that a strong correlation between bone mass and geometry and maximal habitual muscle force exists and posit that muscle and bone build a functional unit. This idea has been corroborated in a series of previous studies in which jumping mechanography was used in conjunction with peripheral quantitative computed tomography (pQCT) to estimate maximal habitual force and bone strength, respectively.…”

Section: Introductionmentioning

confidence: 73%

The effect of body composition and serum inflammatory markers on the functional muscle–bone unit in premenopausal women

et al. 2017

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BACKGROUND/OBJECTIVES: A number of recent studies dealing with the relationship between the effects of high body mass (BM) and fat mass (FM) on bone mass and strength exhibit a range of contrasting variations in their findings. These diverse findings have led to an ongoing controversy as to whether high BM and FM positively or negatively affect bone mass and strength. Excessive FM and the associated low-grade inflammation might overturn the higher mechanical stimulus arising from a higher BM. Therefore, we aimed at quantifying the functional muscle-bone unit in premenopausal women with markedly diverging body composition. SUBJECTS/METHODS: Sixty-four young women with BMs ranging from 50 to 113 kg and body fat percentages between 20.7% and 51.8% underwent jumping mechanography and peripheral quantitative computed tomography measurements. Maximum voluntary ground reaction force during multiple one-legged hopping (F m1LH ), as well as bone characteristics at 4, 14 and 38% of tibia length, were determined. Body composition was assessed by dual-energy X-ray absorptiometry, and serum inflammatory markers were analyzed from blood samples. RESULTS: F m1LH predicted volumetric bone mineral content at the 14% site by 48.7%. Women with high body fat percentage had significantly higher F m1LH , significantly lower relative bone mass, relative bone strength and relative bone area, as well as higher serum inflammatory markers in comparison to women with lower body fat percentage. CONCLUSIONS: In conclusion, high body fat percentage was associated with lower relative bone mass and strength despite normal habitual muscle force in premenopausal women, indicating that high body fat percentage compromised the functional musclebone unit in these individuals.

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Estrogen and Bone-Muscle Strength and Mass Relationships

Cited by 291 publications

References 23 publications

Body mass index and disease duration are predictors of disturbed bone turnover in anorexia nervosa. A case–control study

Body mass index and disease duration are predictors of disturbed bone turnover in anorexia nervosa. A case–control study

Muscle mass and bone mineral indices: does the normalized bone mineral content differ with age?

The effect of body composition and serum inflammatory markers on the functional muscle–bone unit in premenopausal women

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