Bone Mineral Density, Body Composition, and Muscle Strength in Premenopausal Women with Mental Retardation

1998 ◽  
Vol 15 (4) ◽  
pp. 345-356
Author(s):  
Manny Felix ◽  
Jeff McCubbin ◽  
Janet Shaw

Many women with mild to moderate mental retardation (MMR) exhibit low levels of physical activity, muscle strength, and muscle mass, which place these individuals at risk for osteoporosis. Bone mineral density (BMD), the primary index of osteoporosis, of the femoral neck and the whole body was measured in premenopausal women with (M age = 28.14 ± 8.43) and without (M age = 29.64 ± 10.86) mental retardation (MMR and NMR, respectively). Multivariate analyses revealed no differences (p > .05) between groups (MMR = 16, NMR = 16) for BMD values. Significant differences existed (p < .05) between groups on body composition and muscle strength variables. In the MMR group, significant positive relationships (p < .05) were found between lean muscle mass and both femoral neck (r = .74) and whole body (r = .81) BMD. Unaccounted lifestyle factors may have contributed to nonsignificant BMD values between groups.

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1757.2-1757
Author(s):  
T. Raskina ◽  
I. Grigoreva ◽  
J. Averkieva ◽  
A. Kokov ◽  
V. Masenko

Objectives:To examine bone mineral density (BMD) in men with coronary heart disease (CHD), depending on the state of the muscle mass, strength and function.Methods:79 men aged over 50 years with verified CHD were examined (mean age 63 (57; 66) years).The BMD and T-criterion (standart deviation, SD) of the femoral neck and lumbar spine (L1-L4) were evaluated using dual-energy x-ray absorptiometry (DXA) on the Lunar Prodigy Primo bone densitometer (USA). The following reference intervals were used: normal BMD values (T-criterion ≥-1), osteopenia (OPe) (T-criterion from -1 to -2.5), and osteoporosis (OP) (T-criterion <-2.5).To assess muscle mass, the total area (cm2) of the lumbar muscles of the axial section at the level of the 3rd lumbar vertebra (L3) was determined using multispiral computed tomography on a 64-slice computer tomograph “Somatom Sensation 64” (Siemens AG Medical Solution, Germany). The ratio of the obtained index of the area of skeletal muscle to the square of the patient’s growth index determined the “ skeletalmuscular index L3” (SMI). The media considered the threshold value to be 52.4 cm2/m2.Results:The femoral neck BMD in the examined patients was 0.96 (0.89; 1.03) g/cm2, which corresponds to -0.50 (-1.00; 0) SD according to the T-criterion, in the lumbar spine -1.23 (1.11; 1.32) g/cm2and 0.4 (-0.50; 1.20) SD according to the T-criterion.In accordance with the recommendations of the European working group on sarcopenia in Older people (EWGSOP, 2010, 2018), the patients were divided into 3 groups: 31 patients without sarcopenia (group 1), 21 patients with isolated muscle loss (presarcopenia) (group 2) and 27 patients with sarcopenia (group 3).BMD in the femoral neck in the group of patients without sarcopenia was 0.96 (0.72; 1.26) g/cm2, which corresponds to -0.50 (-0.8; 0.2) SD according to the T-criterion, in the lumbar spine – 1.19 (1.10; 1.275) g/cm2and 0.1 (-0.6; 0.8) SD according to the T-criterion. BMD in the femoral neck in the group of patients with presarcopenia (group 2) – 0.995 (0.94; 1.04) g/cm2and -0.3 (-0.70; 0) SD according to the T-criterion, in the lumbar spine – 1.32 (1.24; 1.40) g/cm2and 1.20 (0.50; 1.90) SD according to the T-criterion. In patients with established sarcopenia (group 3), the following indicators of BMD and T-criterion were recorded: 0.95 (0.845; 0.98) g/cm2and -0.60 (-1.40; -0.40) SD and 1.23 (0.085; 1.31) g/cm2and 0.4 (-0.8; 1.1) SD in the femoral neck and lumbar spine, respectively.A comparative analysis of the results of the DXA found that patients with sarcopenia had a significant decrease in the BMD and T-criterion in the femoral neck compared to patients with presarcopenia (p=0.039 and p=0.040, respectively). There were no differences between the groups of patients without sarcopenia and with sarcopenia and presarcopenia (p>0.05).It was found that patients with sarcopenia had significantly lower BMD and T-criterion in the lumbar spine compared to patients with presarcopenia (p=0.017 and p=0.0165, respectively). The values of the BMD and T-criterion in the groups of patients without sarcopenia and with presarcopenia and sarcopenia in the lumbar spine were comparable (p>0.05).Conclusion:The presence of sarcopenia is associated with loss of BMD in the femoral neck and in the lumbar spine. The results obtained confirm the high probability of common pathogenetic links between OP and sarcopenia.Disclosure of Interests:None declared


Medicine ◽  
2020 ◽  
Vol 99 (6) ◽  
pp. e19050 ◽  
Author(s):  
Fei Chen ◽  
Qi Su ◽  
Yulan Tu ◽  
Jun Zhang ◽  
Xinji Chen ◽  
...  

Author(s):  
Luke Del Vecchio ◽  
Nattai Borges ◽  
Campbell MacGregor ◽  
Jarrod D. Meerkin ◽  
Mike Climstein

Background: Previous research highlighted positive musculoskeletal adaptations resulting from mechanical forces and loadings distinctive to impacts and movements with sports participation. However, little is known about these adaptations in combat athletes. The aim of this study was to quantify bone mineral density, lean muscle mass and punching and kicking power in amateur male combat athletes. Methods: Thirteen male combat athletes (lightweight and middleweight) volunteered all physiological tests including dual energy X-ray absorptiometry for bone mineral density (BMD) segmental body composition (lean muscle mass, LMM), muscle strength and striking power, sedentary controls (n = 15) were used for selected DXA outcome variables. Results: There were significant differences (p < 0.05) between combat groups for lumbar spine (+5.0%), dominant arm (+4.4%) BMD, and dominant and non-dominant leg LMM (+21.8% and +22.6%). Controls had significantly (p < 0.05) high adiposity (+36.8% relative), visceral adipose tissue (VAT) mass (+69.7%), VAT area (+69.5%), lower total body BMD (−8.4%) and lumbar spine BMD (−13.8%) than controls. No differences in lower limb BMD were seen in combat groups. Arm lean mass differences (dominant versus non-dominant) were significantly different between combat groups (p < 0.05, 4.2% versus 7.3%). There were no differences in punch/kick power (absolute or relative) between combat groups. 5RM strength (bench and squat) correlated significantly with upper limb striking power (r = 0.57), dominant and non-dominant leg BMD (r = 0.67, r = 0.70, respectively) and total body BMD (r = 0.59). Conclusion: BMD and LMM appear to be particularly important to discriminate between dominant and non-dominant upper limbs and less so for lower limb dominance in recreational combat athletes.


2018 ◽  
Vol 3 (4) ◽  
pp. 62
Author(s):  
Jose Antonio ◽  
Anya Ellerbroek ◽  
Cassandra Carson

The effects of long-term high-protein consumption (i.e., >2.2 g/kg/day) are unclear as it relates to bone mineral content. Thus, the primary endpoint of this investigation was to determine if consuming a high-protein diet for one year affected various parameters of body composition in exercise-trained women. This investigation is a follow-up to a prior 6-month study. Subjects were instructed to consume a high-protein diet (>2.2 g/kg/day) for one year. Body composition was assessed via dual-energy X-ray absorptiometry (DXA). Subjects were instructed to keep a food diary (i.e., log their food ~three days per week for a year) via the mobile app MyFitnessPal®. Furthermore, a subset of subjects had their blood analyzed (i.e., basic metabolic panel). Subjects consumed a high-protein diet for one year (mean ± SD: 2.3 ± 1.1 grams per kilogram body weight daily [g/kg/day]). There were no significant changes for any measure of body composition over the course of the year (i.e., body weight, fat mass, lean body mass, percent fat, whole body bone mineral content, whole body T-score, whole body bone mineral density, lumbar bone mineral content, lumbar bone mineral density and lumbar T-score). In addition, we found no adverse effects on kidney function. Based on this 1-year within-subjects investigation, it is evident that a diet high in protein has no adverse effects on bone mineral density or kidney function.


2017 ◽  
Vol 29 (4) ◽  
pp. 520-528 ◽  
Author(s):  
Ricardo Ribeiro Agostinete ◽  
Santiago Maillane-Vanegas ◽  
Kyle R. Lynch ◽  
Bruna Turi-Lynch ◽  
Manuel J. Coelho-e-Silva ◽  
...  

Purpose:To investigate the mediating effect of muscle mass on the relationship between training load and bone density in adolescent swimmers.Methods:A cross-sectional study involving 87 control and 22 swimmers aged 10–19 years (overall sample:n = 109). Swimmers had a minimum of 1 year of competition in regional and national championships, and control adolescents reported 1 year without any organized sport. Bone density was the main outcome (dual-energy X-ray absorptiometry), which was measured in upper limbs, lower limbs, spine, and whole body. Monthly training load was the independent variable, while the mediation effect of lean soft tissue was assessed. Maturity offset, age, inflammation, and vitamin D intake were treated as covariates.Results:Swimmers had lower bone density than controls; there was a significant and positive relationship between training load and muscle mass. In boys, training load presented a negative correlation with bone density in lower limbs [r = −.293; 95% confidence interval (CI), −.553 to −.034]. In girls, training load was negatively related to bone mineral density in lower limbs (r = .563; 95% CI, −.770 to −.356) and whole body (r = −.409; 95% CI, −.609 to −.209).Conclusion:Training load had a negative relationship on bone density of swimmers of both sexes, independently of the positive effect of lean soft tissue on bone density.


2012 ◽  
Vol 37 (5) ◽  
pp. 947-954 ◽  
Author(s):  
Sarah M. Camhi ◽  
Peter T. Katzmarzyk

Physical activity (PA), total body fat (TBF), and lean body mass (LBM) are associated with bone mineral density (BMD). However, the independent influence of PA on BMD, while controlling for body composition is not understood as well and is the purpose of the current study. Whole-body BMD (g·cm–2), femoral neck BMD (g·cm–2), TBF (kg), and LBM (kg) were measured with dual-energy X-ray absorptiometry. PA levels (total, work, sport, non-sport) were estimated using the Baecke questionnaire. General linear models determined the independent effects of PA on BMD (whole-body and femoral neck), with adjustment for age, sex, ethnicity, smoking, menopausal status (as appropriate), LBM, and TBF. These associations were also examined by sex and age group (20–34, 35–49, and 50–64 years). The sample included 802 adults (65% women; 13% African American) from the Pennington Center Longitudinal Study that were 20 to 64 years of age (mean ± SD: 46.9 ± 11.0 years). Higher sports scores were associated with higher femoral neck BMD in the total group, men and women, and in 20- to 34-year-olds and 35- to 49-year-olds, but not significant in those 50–64 years of age. Similar significant associations were found for sports score with total body BMD; however, this relationship was not significant for women or for those 50–64 years of age. Total PA had inconsistent relationships with both femoral neck BMD and total body BMD. Higher levels of sport-related PA are associated with higher femoral neck BMD; however, these relationships vary by PA domain and site of BMD measurement.


2009 ◽  
Vol 160 (3) ◽  
pp. 381-385 ◽  
Author(s):  
Jaak Jürimäe ◽  
Tatjana Kums ◽  
Toivo Jürimäe

PurposeWe investigated the relationship between the decrease in bone mineral mass (BMC) and bone mineral density (BMD) values with baseline adipocytokine and ghrelin concentrations in physically active postmenopausal women.MethodsLeptin, adiponectin, ghrelin, BMC, BMD and different body composition values were measured in 35 women (age: 69.7±6.0 years) before and after a 12-month prospective study period.ResultsSignificant (P<0.05) decreases in fat-free mass (FFM) (by 2.56%) and BMC (by 1.63%) and increases in adiponectin (by 14.8%) were seen in older females as a result of the study period. The independent variables that were associated with decreases in total BMC were baseline fat mass (FM) and adiponectin explaining 30.6% (R2×100) of the total variance. In another model, baseline FFM and leptin were the independent variables that explained 20.6% (P<0.05) of the total variance in the decreases in total BMD value. The variables that were associated with decreases in femoral neck BMD were FM and leptin (R2=0.102;P<0.05), while the independent variables were baseline trunk fat:leg fat ratio and adiponectin in the model with decreases in lumbar spine BMD as the dependent variable, and accounted for 13.1% (P<0.05) of the decreases in BMD variance.ConclusionsInitial adiponectin concentration together with specific body composition characteristics predicted loss in BMC and lumbar spine BMD values, while initial leptin concentration together with specific body composition parameters determined the loss in total and femoral neck BMD values in physically active older women.


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