scholarly journals Influence of the appendicular skeletal muscle mass index on the bone mineral density of postmenopausal women

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Geise Ferreira da Cruz ◽  
Tatiana Mion Lunz ◽  
Tatielle Rocha de Jesus ◽  
Mariana Braga Costa ◽  
Camila Vilarinho Vidigal ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Skeletal Muscle ◽  
Bone Mass ◽  
Postmenopausal Women ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Mineral Density ◽  
Appendicular Skeletal Muscle ◽  
Skeletal Muscle Mass Index ◽  
Appendicular Skeletal Muscle Mass

Abstract Background The appendicular skeletal muscle mass index (ASMI) is an important risk indicator for osteoporosis because of the anatomical proximity and metabolic connection between muscle and bone mass. The present study investigated the relationship between ASMI and the bone mineral density (BMD) categories of postmenopausal women. Methods In this cross-sectional study with a probabilistic sample, sociodemographic, lifestyle, menopause time, anthropometric, and physical activity variables were collected. ASMI and BMD were assessed by dual-energy X-ray absorptiometry (DXA). Participants were grouped according to BMD values into normal density, osteopenia, and osteoporosis. Multivariate logistic regression models were applied to verify the influence of ASMI on BMD. Data were analyzed using the SPSS statistical software, version 22. The significance level for all tests was set at 5%. Results Of the 114 women analyzed, most were between 60 and 69.9 years of age (62.3%), on menopause for ≤19.0 (51.8%), self-declared brown race/color (49.1%), had < 4 years of education (41.2%), never smoked (69.0%) or drank alcohol (62.8%). Of these, 52.6% were classified as sufficiently active and 52.2% had regular sun exposure. Women with osteoporosis were older (p = 0.035), on menopause for a longer time (p = 0.011), underweight (p = 0.004), had adequate waist circumference (p = 0.017), and low ASMI values (p = 0.002). There was an association between the 1st tertile of ASMI and osteoporosis. However, after adjustments for age, race/color, and body mass index, the strength of association between BMD and ASMI was not maintained. Conclusions ASMI was not associated with the BMD of the postmenopausal women evaluated. Total body and muscle mass, in addition to bone mass, should be monitored during menopause treatment. Longitudinal studies must be conducted to elucidate the mechanisms and gaps in this relationship.

scholarly journals Appendicular Skeletal Muscle Mass Index and Physiological Performance in Post-Menopausal Women with Total Thyroidectomy

2021 ◽  
Vol 11 (16) ◽  
pp. 7555
Author(s):  
Wei-Lun Wen ◽  
Hsiu-Chu Lin ◽  
Hui-Chen Yu ◽  
Yi-Pen Chen ◽  
Ching-Chao Liang ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Total Thyroidectomy ◽  
Postmenopausal Women ◽  
Muscle Mass ◽  
Gait Speed ◽  
Skeletal Muscle Mass ◽  
Handgrip Strength ◽  
Appendicular Skeletal Muscle ◽  
Skeletal Muscle Mass Index ◽  
Appendicular Skeletal Muscle Mass

Sarcopenia is prevalent in postmenopausal women but is inconclusive in total thyroidectomy and under levothyroxine replacement. We aim to analyze the determinants of sarcopenia and investigate the early detection of sarcopenia in this group. Fifty postmenopausal women with total thyroidectomy were measured for body composition via Dual-energy X-ray Absorptiometry (DXA) and Appendicular Skeletal Muscle mass divided by the height square (ASM/ht2). Handgrip strength and gait speed and Geriatric Nutritional Risk Index (GNRI) were calculated. Eight determinants associated with sarcopenia include GNRI (β, 0.042; 95% confidence interval (CI), 0.021 to 0.064), femoral neck BMD (β, 0.989; 95% CI, 0.049 to 1.929), TSH (β, 0.192; 95% CI, 0.027 to 0.357), and thyroglobulin Ab (0.657; 95% CI, 0.210 to 1.103) for ASM/height2; menopausal years (β, −3.112; 95% CI, −5.661 to −0.563) and ASM/height2 (β, 2.669; 95% CI, 1.073 to 4.265) for handgrip strength; and GNRI (β, 0.062; 95% CI, 0.019 to 0.105), T3 (β, −3.541; 95% CI, −7.019 to −0.063), and age (β, 0.043; 95% CI, 0.003 to 0.084) for gait speed. Our study confirmed a high prevalence of low skeletal muscle mass index in postmenopausal women with total thyroidectomy and revealed a number of determinants that could help early diagnosis and management this disease in daily clinical practice.

The Independent Relationship Between Leg Skeletal Muscle Mass Asymmetry and Gait Speed in Community-Dwelling Older Adults

2020 ◽  
Vol 28 (6) ◽  
pp. 943-951
Author(s):  
Chiharu Iwasaka ◽  
Tsubasa Mitsutake ◽  
Etsuo Horikawa
Keyword(s):  
Older Adults ◽  
Skeletal Muscle ◽  
Muscle Mass ◽  
Gait Speed ◽  
Skeletal Muscle Mass ◽  
Asymmetry Index ◽  
Mass Asymmetry ◽  
Appendicular Skeletal Muscle ◽  
Skeletal Muscle Mass Index ◽  
Appendicular Skeletal Muscle Mass

Objectives: To investigate the relationship between leg skeletal muscle mass asymmetry and usual gait speed in older adults. Methods: The subjects were 139 community-dwelling older adults. The asymmetry index was calculated using the leg skeletal muscle mass index (LSMI) values of both legs. The subjects were divided into “large” and “small” asymmetry groups based on the asymmetry index. The relationship between asymmetry and gait speed was analyzed using a linear regression model. The appendicular skeletal muscle mass index and LSMI were included as adjustment variables in the analysis. Results: The asymmetry index and having a “large” asymmetry were independently related to gait speed, even after adjusting for covariates such as appendicular skeletal muscle mass index and LSMI. Discussion: Leg skeletal muscle mass asymmetry was related to gait speed independently of the appendicular skeletal muscle mass index and LSMI values. A skeletal muscle mass evaluation among older adults should include an assessment of the total skeletal muscle mass and its asymmetry.

scholarly journals Skeletal Muscle Mass Index Is Positively Associated With Bone Mineral Density in Hemodialysis Patients

2020 ◽  
Vol 7 ◽  
Author(s):  
Kiyonori Ito ◽  
Susumu Ookawara ◽  
Yutaka Hibino ◽  
Sojiro Imai ◽  
Mariko Fueki ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Skeletal Muscle ◽  
Muscle Mass ◽  
Bone Mineral ◽  
Skeletal Muscle Mass ◽  
Hemodialysis Patients ◽  
Mineral Density ◽  
Skeletal Muscle Mass Index

scholarly journals Effects of Adolescents’ Lifestyle Habits and Body Composition on Bone Mineral Density

2021 ◽  
Vol 18 (11) ◽  
pp. 6170
Author(s):  
ChangSook Han ◽  
HyoKyung Kim ◽  
Suhee Kim
Keyword(s):  
Bone Mineral Density ◽  
Skeletal Muscle ◽  
Bone Mass ◽  
Muscle Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Skeletal Muscle Mass ◽  
Body Fat Mass ◽  
Mineral Density ◽  
Calcium Supplements

The incidence of osteoporosis is increasing as the population ages, as is the need to manage and prevent it. Adolescence is the period when the fastest development of bone mass takes place. Increasing adolescents’ maximum bone mass and avoiding the risk factors for its loss are effective for preventing osteoporosis. This study investigated the factors influencing adolescents’ bone mineral density (BMD). The participants were 126 middle- and high-school students from Gangwon-do; 47.6% (n = 60) were male, with an average age of 15 (range 12–18) years of age. It was found that age, carbonated beverages, snacks, and calcium supplements were variables that showed significant differences in adolescents’ BMD. Additionally, through correlation analysis, it was found that height, weight, body mass index (BMI), body water, protein, minerals, body fat mass, and skeletal muscle mass were correlated with BMD. Multiple regression analysis identified age, calcium supplements, BMI, body fat mass, and skeletal muscle mass as BMD-associated factors. These results show that adolescents’ BMD is higher with lower body fat mass, higher BMI and skeletal muscle mass, and a higher intake of calcium supplements.

scholarly journals Association between −308 G/A TNF-αPolymorphism and Appendicular Skeletal Muscle Mass Index as a Marker of Sarcopenia in Normal Weight Obese Syndrome

2013 ◽  
Vol 35 ◽  
pp. 615-623 ◽  
Author(s):  
L. Di Renzo ◽  
F. Sarlo ◽  
L. Petramala ◽  
L. Iacopino ◽  
G. Monteleone ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Body Composition ◽  
Muscle Mass ◽  
Lean Mass ◽  
Skeletal Muscle Mass ◽  
Normal Weight ◽  
Sarcopenic Obesity ◽  
Appendicular Skeletal Muscle ◽  
Skeletal Muscle Mass Index ◽  
Appendicular Skeletal Muscle Mass

Background and Aim. Normal weight obese (NWO) syndrome is characterized by normal body mass index (BMI), but high amount of fat mass and reduced lean mass. We evaluated allelic frequency of the G/A −308 TNF-αpolymorphism and prevalence of sarcopenia in NWO.Methods. We enrolled 120 Italian healthy women, distinguished into 3 groups: normal weight (NW); NWO, and preobese-obese (PreOB/OB) and evaluated anthropometric parameters, body composition by dual X-ray absorptiometry, blood tests, and genotyping of G/A −308 TNF-αpolymorphism.Results. We found a positive association between sarcopenic obesity and −308 TNF-αpolymorphism. All obese women were sarcopenic and were no carrier of mutation (G/G). Among all G/G, NWO showed significant differences in lean mass and total body lean mass (TBLean) with respect to NW and PreOB/OB (P<0.001). Regarding appendicular skeletal muscle mass index values, 4.21% of NW were sarcopenic (50% G/G and 50% G/A); the same percentage was observed in NWO subjects (100% G/G). Moreover, 2.10% of PreOB/OB were sarcopenic and all were G/G.Conclusion. Our study suggests that TNF-αpolymorphism contributes to sarcopenic obesity susceptibility, in association with body composition. This is the first study that shows the importance of TNF-αpolymorphism to determine TBLean variation in NWO syndrome.

scholarly journals Association between Geriatric Nutrition Risk Index and Skeletal Muscle Mass Index with Bone Mineral Density in Post-Menopausal Women Who Have Undergone Total Thyroidectomy

Nutrients ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1683
Author(s):  
Tai-Hua Chiu ◽  
Szu-Chia Chen ◽  
Hui-Chen Yu ◽  
Jui-Sheng Hsu ◽  
Ming-Chen Shih ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Total Thyroidectomy ◽  
Postmenopausal Women ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Mineral Density ◽  
Total Hip ◽  
T Score ◽  
Hip Bmd ◽  
Skeletal Muscle Mass Index

Background: Osteoporosis is highly prevalent in postmenopausal women and may result in fractures and disabilities. Total thyroidectomy has also been associated with loss of bone mass. The aim of this cross-sectional study was to evaluate associations among nutritional status, skeletal muscle index and markers of bone turnover to bone mineral density in postmenopausal women who had undergone total thyroidectomy. Methods: Fifty postmenopausal women who had undergone total thyroidectomy were included. Body composition was measured using dual-energy X-ray absorptiometry (DXA). The Geriatric Nutritional Risk Index (GNRI) was calculated using baseline body weight and serum albumin level. Skeletal muscle mass index was calculated as the appendicular skeletal muscle mass (ASM) divided by the height squared and assessed using DXA. Results. Multivariate stepwise linear regression analysis showed that a low GNRI was significantly associated with low lumbar spine bone mineral density (BMD) and T-score, and that a low ASM/height2 was significantly associated with low femoral neck BMD and T-score. A low vitamin D level was significantly associated with low femoral neck BMD and T-score and low total hip BMD and T-score. A high bone alkaline phosphatase (ALP) level was significantly associated with low femoral neck T-score and low total hip BMD and T-score. A low insulin-like growth factor-1 (IGF-1) was significantly associated with low total hip BMD and T-score. Conclusion: In the postmenopausal women who had undergone total thyroidectomy in this study, BMD was positively associated with GNRI, skeletal muscle mass index, and levels of vitamin D and serum IGF-1, and inversely associated with bone ALP level. Nutritional status, skeletal muscle mass index and bone turnover biomarkers can be used to early identify patients with a high risk of osteoporosis in this high-risk group.

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