Meiling Yang's research while affiliated with Hebei Medical University and other places

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Publications (1)

Figure 1
Table 1
Comparison of DXA parameters between different groups.
Factors associated with muscle mass
  • Preprint
  • File available

April 2024

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3 Reads

Xiao Zhu

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Yongli Zheng

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Lei Gao

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[...]

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Meiling Yang

Background:Sarcopenia is a common elderly syndrome that increases the risk of falls and fractures, affects the ability to live daily and reduces quality of life.The present study try to explore the factors associated with muscle mass by using Dual-energy X-ray absorptiometry(DXA) in Chinese postmenopausal women. Methods: The clinical information of 234 postmenopausal women, ages 50 to 79, was included in this study. Every subject's height, weight, calf circumference (CC), and grip strength were recorded. The body mass index, or BMI, was computed. All subjects' DXA characteristics, such as their total mass, lean mass, fat mass, T value, and relative skeletal muscle index (RSMI), were also noted. Based on RSMI, the patients were separated into two groups: those with sarcopenia and those without. An analysis was conducted on the variations in grip strength, CC, DXA parameters, and demographic data between the two groups. The relationship between a number of variables and RSMI was investigated using bivariate correlation analysis. The link between each index and RSMI was examined using both univariate and multiple linear regression analysis, and a regression equation was produced. Results:The study revealed that the sarcopenia group had significantly reduced BMI, grip strength, CC, RSMI, T value, total mass, lean mass, and fat mass compared to the non-sarcopenia group (P<0.05). Weight, fat mass, and CC had moderate correlations with RSMI (r=0.696, r=0.507, r=0.638, respectively, P < 0.05); T value and grip strength had weak correlations with RSMI (r=0.280, r=0.265, respectively, P < 0.05); BMI, total mass, and lean mass had strong correlations with RSMI (r=0.736, r=0.726, r=0.782, respectively, P < 0.05). The results of multiple linear regression analysis indicated that BMI (r=0.120, P<0.001) and CC (r=0.078, P<0.001) were the key variables linked to the muscle mass of postmenopausal women. We have RSMI = 0.473 + 0.120×BMI + 0.078×CC as the regression equation. Conclusions: Compared to patients without sarcopenia, people with sarcopenia have lower BMIs, grip strengths, CCs, T values, total masses, lean masses, and fat masses. In postmenopausal women, there is a positive correlation between muscle mass and BMI and CC.

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