scholarly journals Predicting Osteoporosis with Body Compositions in Postmenopausal Women: A Noninvasive Method

2021 ◽  
Author(s):  
Wei-Hsiu Hsu ◽  
Wei-Bin Hsu ◽  
Chun-Hao Fan ◽  
Wen-Wei Robert Hsu
Keyword(s):  
Body Composition ◽  
Postmenopausal Women ◽  
Exercise Intervention ◽  
Correlation Coefficients ◽  
Asian Population ◽  
The Body ◽  
Fat Free Mass ◽  
Mineral Density ◽  
Community Screening ◽  
T Score

Abstract Background: The prevalence of osteoporosis is rising steadily as the aging population increases. Bone mineral density (BMD) assessment is a more effort procedure to analyze osteoporosis. However, the accessibility and radiation exposure limited its role in community screening. A more convenient approach for screening is suggested.Methods: A total of 363 postmenopausal women over 50 age were included in this study and assessed with the body composition [including fat-free mass (FFM), fat mass (FM), and basal metabolic rate (BMR)] and BMD. Normal distributions and correlation coefficients among variables were calculated using the Shapiro-Wilk test and Pearson’s correlation analysis, respectively. A receiver operating characteristic (ROC) curve was plotted and the area under ROC curves (AUC) was determined the optimal cut-off values of the body composition variables for osteoporosis prediction.Results: The correlation coefficient of FFM, FM, FM ratio and BMR with femur neck T-score were 0.373, 0.266, 0.165, and 0.369, respectively while with spine T-score were 0.350, 0.251, 0.166, and 0.352, respectively (p<0.01 for all). FFM, FM, and BMR showed an optimal cut-off value of 37.9 kg, 18.6 kg, and 1187.5 kcal for detecting osteoporosis.Conclusions: The present study provided a model to predict osteoporosis in postmenopausal women and the optimal cut-off value of FFM, FM, and BMR could be calculated in Asian population. Among these factors, BMR seemed a better predictor than others. The BMR could be a target for exercise intervention in postmenopausal women for maintaining or improving BMD.

scholarly journals Predicting Osteoporosis with Body Compositions in Postmenopausal Women: A Noninvasive Method

2020 ◽  
Author(s):  
Wei-Hsiu Hsu ◽  
Wei-Bin Hsu ◽  
Chun-Hao Fan ◽  
Wen-Wei Robert Hsu
Keyword(s):  
Body Composition ◽  
Postmenopausal Women ◽  
Exercise Intervention ◽  
Correlation Coefficients ◽  
Asian Population ◽  
The Body ◽  
Fat Free Mass ◽  
Mineral Density ◽  
Community Screening ◽  
T Score

Abstract Background: The prevalence of osteoporosis is rising steadily as the aging population increases. Bone mineral density (BMD) assessment is an established test for osteoporosis. However, the accessibility and radiation exposure limited its role in community screening. A more convenient approach for screening is suggested.Methods: A total of 363 postmenopausal women over 50 age were included in this study and assessed with the body composition [including fat-free mass (FFM), fat mass (FM), and basal metabolic rate (BMR)] and BMD. Normal distributions and correlation coefficients among variables were calculated using the Shapiro-Wilk test and Pearson’s correlation analysis, respectively. A receiver operating characteristic (ROC) curve was plotted and the area under ROC curves (AUC) was determined the optimal cut-off values of the body composition variables for osteoporosis prediction.Results: The correlation coefficient of FFM, FM, FM ratio and BMR with femur neck T-score were 0.373, 0.266, 0.165, and 0.369, respectively while with spine T-score were 0.350, 0.251, 0.166, and 0.352, respectively (p<0.01 for all). FFM, FM, and BMR showed an optimal cut-off value of 37.9 kg, 18.6 kg, and 1187.5 kcal for detecting osteoporosis.Conclusions: The present study provided a model to predict osteoporosis in postmenopausal women and the optimal cut-off value of FFM, FM, and BMR could be calculated in Asian population. Among these factors, BMR seemed a better predictor than others. The BMR could be a target for exercise intervention in postmenopausal women for maintaining or improving BMD.Trial registration: ClinicalTrials.gov, NCT02936336. Registered 13 October 2016 -Retrospectively registered

scholarly journals Predicting Osteoporosis with Body Compositions in Postmenopausal Women: A Noninvasive Method

2020 ◽  
Author(s):  
Wei-Hsiu Hsu ◽  
Wei-Bin Hsu ◽  
Chun-Hao Fan ◽  
Wen-Wei Robert Hsu
Keyword(s):  
Body Composition ◽  
Postmenopausal Women ◽  
Exercise Intervention ◽  
Correlation Coefficients ◽  
Roc Curves ◽  
The Body ◽  
Fat Free Mass ◽  
Mineral Density ◽  
Community Screening ◽  
T Score

Abstract Background: The prevalence of osteoporosis is rising steadily as the aging population increases. Bone mineral density (BMD) assessment is an established test for osteoporosis. However, the accessibility and radiation exposure limited its role in community screening. A more convenient approach for screening is suggested.Methods: A total of 363 postmenopausal women over 50 age were included in this study and assessed with the body composition [including fat-free mass (FFM), fat mass (FM), and basal metabolic rate (BMR)] and BMD. Normal distributions and correlation coefficients among variables were calculated using the Shapiro-Wilk test and Pearson’s correlation analysis, respectively. A receiver operating characteristic (ROC) curve was plotted and area under the ROC curves (AUC) was determined the optimal cut-off values of the body composition variables for osteoporosis prediction.Results: The correlation coefficient of FFM, FM, FM ratio and BMR with femur neck T-score were 0.373, 0.266, 0.165, and 0.369, respectively while with spine T-score were 0.350, 0.251, 0.166, and 0.352, respectively (p < 0.01 for all). FFM, FM, and BMR showed an optimal the cut-off value of 37.9 kg, 18.6 kg and 1187.5 kcal for detecting osteoporosis.Conclusions: The present study provided a model to predict osteoporosis in postmenopausal women and the optimal cut-off value of FFM, FM, and BMR could be calculated. Among these factors, BMR seemed a better predictor than others. The BMR could be a target for exercise intervention in postmenopausal women for maintaining or improving BMD.Trial registration: ClinicalTrials.gov, NCT02936336. Registered 13 October 2016 -Retrospectively registered

scholarly journals Predicting osteoporosis with body compositions in postmenopausal women: a non-invasive method

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Wei-Hsiu Hsu ◽  
Wei-Bin Hsu ◽  
Chun-Hao Fan ◽  
Robert Wen-Wei Hsu
Keyword(s):  
Body Composition ◽  
Postmenopausal Women ◽  
Exercise Intervention ◽  
The Body ◽  
Fat Free Mass ◽  
Mineral Density ◽  
Optimal Cutoff ◽  
Community Screening ◽  
Cutoff Value ◽  
Link Type

Abstract Background The prevalence of osteoporosis is rising steadily as the aging population increases. Bone mineral density (BMD) assessment is a golden standard to establish the diagnosis of osteoporosis. However, the accessibility and radiation exposure limited its role in community screening. A more convenient approach for screening is suggested. Methods A total of 363 postmenopausal women over the age of 50 were included in this study and assessed with the body composition [including fat-free mass (FFM), fat mass (FM), and basal metabolic rate (BMR)] and BMD. Normal distributions and correlation coefficients among variables were calculated using the Shapiro-Wilk test and Pearson’s correlation analysis, respectively. A receiver operating characteristic (ROC) curve was plotted, and the area under ROC curves (AUC) was determined to obtain the optimal cutoff values of the body composition variables for osteoporosis prediction. Results The correlation coefficient of FFM, FM, FM ratio, and BMR with femur neck T-score was 0.373, 0.266, 0.165, and 0.369, respectively, while with spine T-score was 0.350, 0.251, 0.166, and 0.352, respectively (p < 0.01 for all). FFM, FM, and BMR showed an optimal cutoff value of 37.9 kg, 18.6 kg, and 1187.5 kcal, respectively, for detecting osteoporosis. Conclusions The present study provided a model to predict osteoporosis in postmenopausal women, and the optimal cutoff value of FFM, FM, and BMR could be calculated in the Asian population. Among these factors, BMR seemed a better predictor than others. The BMR could be a target for exercise intervention in postmenopausal women for maintaining or improving BMD. Trial registration ClinicalTrials.gov, NCT02936336. Retrospectively registered on13 October 2016.

scholarly journals BMD status of Postmenopausal Women in relation with BMI: A study with 93 cases

2016 ◽  
Vol 17 (2) ◽  
pp. 138-141
Author(s):  
Samira Sharmin ◽  
Mabubul Haque ◽  
Syedur Rahman Miah ◽  
Md Mahbub Ur Rahman ◽  
Jasmine Ara Haque ◽  
...  
Keyword(s):  
Lumbar Spine ◽  
Femoral Neck ◽  
Postmenopausal Women ◽  
Lumbar Vertebrae ◽  
The Body ◽  
Mineral Density ◽  
Cross Sectional ◽  
T Score ◽  
Minimal Trauma ◽  
The Mean

Objectives: Low bone mass is a common disorder in elderly population which predisposes to fracture with minimal trauma. This study was performed to find out the association between the Body Mass Index (BMI) and Bone Mineral Density (BMD) in postmenopausal women.Materials and Methods: This cross sectional study was carried out at Institute of Nuclear Medicine and Allied Sciences Comilla and Mitford, Dhaka over a period of 12 months from January 2013 to December 2013. A total 93 postmenopausal women were enrolled for this study. All postmenopausal women underwent a BMD scan of femoral neck and lumbar vertebrae using a Dual Energy X-ray Absorptiometry (DEXA). Participants were categorized into three groups according to their age and BMI. BMD were expressed base on T-score according to WHO criteria. The relation among BMI, age and BMD were assessed.Results: The results of this study showed that the mean age of the study group was 57.13±7.49 years with range of 46 to 75 years. The most postmenopausal women were in age group 55-65years. The mean BMI of the study subjects were 24.18±5.08 kg/m2 with a range of 15.62 to 36.20 kg/m2. Among 93 subjects osteopenia was greater at lumbar spine (45.2%) with T-score mean±SD-1.83±0.33 and osteoporosis at femoral neck (51.6%) with T-score mean ±SD-3.36±-0.67. Pearson’s correlation coefficient test showed inverse relationship between age and BMD both lumbar spine (r = -0.301, p = 0.003) and femoral neck (r = -0.303, p=0.003) whereas the positive relation between BMI and BMD both at lumbar spine (r=0.338, p=0.001) and femoral neck (r =0.343, p=0.001). These showed that with advancing age, BMD decreases and the risk of osteoporosis increases and with increasing BMI, BMD increases and risk of osteoporosis decreases.Conclusion: The findings of this study portrait that aging and low BMI are risk factors associated with bone loss. So preventive measure should be taken for high risk post menopausal women.Bangladesh J. Nuclear Med. 17(2): 138-141, July 2014

scholarly journals Raloxifene and body composition and muscle strength in postmenopausal women: a randomized, double-blind, placebo-controlled trial

2010 ◽  
Vol 162 (2) ◽  
pp. 371-376 ◽  
Author(s):  
Didy E Jacobsen ◽  
Monique M Samson ◽  
Marielle H Emmelot-Vonk ◽  
Harald J J Verhaar
Keyword(s):  
Body Composition ◽  
Placebo Group ◽  
Muscle Strength ◽  
Postmenopausal Women ◽  
Controlled Trial ◽  
Group Versus ◽  
The Body ◽  
Fat Free Mass ◽  
Double Blind ◽  
Double Blind Placebo

ObjectiveTo compare the effects of raloxifene and placebo on body composition and muscle strength.DesignRandomized, double-blind, placebo-controlled trial involving 198 healthy women aged 70 years or older conducted between July 2003 and January 2008 at the University Medical Centre, Utrecht, The Netherlands.MethodsParticipants were randomly assigned to receive raloxifene 60 mg or placebo daily for 12 months. Measurements were taken at baseline, 3, 6, and 12 months, and change from baseline was calculated. Main outcome measures were body composition (bioelectrical impedance analysis), muscle strength, and muscle power (maximum voluntary isometric knee extension strength, explosive leg extensor power, and handgrip strength).ResultsAt 12 months, the body composition of women taking raloxifene was significantly different from that of women taking placebo: fat-free mass (FFM) had increased by a mean of 0.83 (2.4) kg in the raloxifene group versus 0.03 (1.5) kg in the placebo group (P=0.05), and total body water had increased by a mean of 0.6 (1.8) litres in the raloxifene group versus a decrease of 0.06 (1.1) litres in the placebo group (P=0.02). Muscle strength and power were not significantly different.ConclusionRaloxifene significantly changed body composition (increased FFM; increased water content) compared with placebo in postmenopausal women.

scholarly journals Effect of combined aerobic and resistance training in body composition of obese postmenopausal women

2015 ◽  
Vol 21 (1) ◽  
pp. 61-67 ◽  
Author(s):  
Fabrício E. Rossi ◽  
Camila Buonani ◽  
Juliana Viezel ◽  
Eduardo P. da Silva ◽  
Tiego A. Diniz ◽  
...  
Keyword(s):  
Body Composition ◽  
Resistance Training ◽  
Postmenopausal Women ◽  
Fat Mass ◽  
Training Group ◽  
The Body ◽  
Fat Free Mass ◽  
Control Group ◽  
P Value ◽  
Training Protocol

The aim of this study was to investigate the effects of a 16-week program of combined aerobic and resistance training on the body composition of postmenopausal women who are obese. The participants were divided into two groups: training group (TG, n = 37) and non-trained control group (CG, n = 18). The trunk fat, fat mass, percentage of fat mass and fat-free mass were estimated using DXA. Three nonconsecutive 24-hour dietary recalls were conducted. The training protocol consisted of 50 minutes of resistance training followed by 30 minutes of aerobic training. After the 16-week training program, differences were observed in trunk fat (CG= 0.064 x TG= -0.571 Kg; p-value = .020), fat mass (CG= -0.088 x TG= -1.037 Kg; p-value = .020) and fat-free mass (CG= -0.388 x TG= 1.049 Kg; p = .001). Therefore, a 16-week program of systematic combined aerobic and resistance training in obese postmenopausal women was effective in improving fat-free mass and decreasing both whole and abdominal adiposity.

Body composition and bone mineral density in postmenopausal women

2014 ◽  
Author(s):  
Vladyslav Povoroznyuk ◽  
Nataliia Dzerovych ◽  
Roksolana Povoroznyuk
Keyword(s):  
Bone Mineral Density ◽  
Body Composition ◽  
Postmenopausal Women ◽  
Bone Mineral ◽  
Mineral Density

Body Composition Modifications Due to the “Search, Rescue and Survival Training” in Male Military Firefighter Cadets

2021 ◽  
Author(s):  
Thiago Ramos de Barros ◽  
Verônica Pinto Salerno ◽  
Thalita Ponce ◽  
Míriam Raquel Meira Mainenti
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Repeated Measures ◽  
Food Restriction ◽  
Physical Exertion ◽  
High Energy ◽  
The Body ◽  
Fat Free Mass ◽  
Sleep Restriction ◽  
Fat Percentage

ABSTRACT Introduction To train and prepare cadets for a career as firefighters in Rio de Janeiro, the second-year students of the Officers Training Course are submitted to a Search, Rescue, and Survival Training (SRST) course, which is characterized by long periods of high physical exertion and sleep restriction during a 9-day instruction module, and food restriction during a 7-day survival module. The present study investigated changes in the body composition of 39 male cadets submitted to SRST during training and 4 weeks of recovery with no restrictions in food consumption. Materials and Methods Each cadet was evaluated by anthropometric measurements at six time points: pre-SRST; after the first module; after the second module; and after 1, 2, and 4 weeks of recovery. Measurements included body girths and skinfolds, to estimate trunk (chest and waist) and limbs (arm and thigh) dimensions, as well as body composition. Repeated measures ANOVA and Friedman test were applied (depending on each data distribution). Results Statistically significant decreases in body weight (76.2; 69.8-87.2 to 63.9; 58.9-73.5 kg) and fat free mass (FFM, 69.2; 63.7-77.2 to 60.1; 56.2-68.0 kg) were observed following the second module of SRST. Following a single week of recovery, the FFM returned to pre-SRST values. Body weight returned to pre-training levels in 2 weeks. Body fat percentage and mass also significantly decreased during SRST (9.0; 7.7-12.3 to 6.5; 5.1-9.3% and 6.9; 5.6-10.0 to 6.9; 5.6-10.0 kg, respectively), which showed a slower and more gradual recovery that reached pre-SRST values after 4 weeks. The girths of arm, thigh, chest and waist significantly decreased due to SRST. The girths of the limbs (arm and thigh) returned to pre-training values after one month of recovery, while the girths of the trunk (chest and waist) did not return to pre-SRST values during the study period. Conclusions The findings suggest that men who experience periods of high energy demands and sleep restriction followed by a period of food restriction will endure unavoidable physical consequences that can be mostly reversed by a 1-month recovery.

scholarly journals Seasonal and Longitudinal Changes in Body Composition by Sport-Position in NCAA Division I Basketball Athletes

Sports ◽  
2018 ◽  
Vol 6 (3) ◽  
pp. 85 ◽  
Author(s):  
Jennifer Fields ◽  
Justin Merrigan ◽  
Jason White ◽  
Margaret Jones
Keyword(s):  
Body Composition ◽  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Ncaa Division I ◽  
The Body ◽  
Fat Free Mass ◽  
Strength And Conditioning ◽  
Air Displacement Plethysmography ◽  
Within Subjects

The purpose of this study was to assess the body composition of male and female basketball athletes (n = 323) across season, year, and sport-position using air displacement plethysmography. An independent sample t-test assessed sport-position differences. An analysis of variance was used to assess within-subjects across season (pre-season, in-season, and off-season), and academic year (freshman, sophomore, and junior). For both men and women basketball (MBB, WBB) athletes, guards had the lowest body fat, fat mass, fat free mass, and body mass. No seasonal differences were observed in MBB, but following in-season play for WBB, a reduction of (p = 0.03) in fat free mass (FFM) was observed. Across years, MBB showed an increase in FFM from freshman to sophomore year, yet remained unchanged through junior year. For WBB across years, no differences occurred for body mass (BM), body fat (BF%), and fat mass (FM), yet FFM increased from sophomore to junior year (p = 0.009). Sport-position differences exist in MBB and WBB: Guards were found to be smaller and leaner than forwards. Due to the importance of body composition (BC) on athletic performance, along with seasonal and longitudinal shifts in BC, strength and conditioning practitioners should periodically assess athletes BC to ensure preservation of FFM. Training and nutrition programming can then be adjusted in response to changes in BC.

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