Association between the appendicular skeletal muscle mass-to-visceral fat area ratio and bone mineral density and osteoporosis: A cross-sectional study

IF 3.9
Jiao Liu , Fujue Ji , Haesung Lee , Jong-Hee Kim
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引用次数: 0

Abstract

Objective

This cross-sectional study investigated the association between appendicular skeletal muscle mass-to-visceral fat area ratio (SVR), bone mineral density (BMD), and osteoporosis in U.S. adults using NHANES data.

Methods

Data from the 2013–2014 and 2017–2018 NHANES cycles were analyzed. Multivariable regression models assessed associations between SVR, BMD, and osteoporosis, adjusting for demographic, lifestyle, metabolic, and comorbidity variables. Generalized Additive Models with smooth curve fitting and likelihood ratio tests evaluated model fit. Subgroup analyses explored effect modifications.

Results

The study included 2325 individuals with a mean age of 50.66 ± 5.55 years. In fully adjusted models, the highest SVR tertile was associated with a 0.05 g/cm2 higher BMD (β = 0.05, 95 % CI: 0.03–0.08, P = 0.002) and 57 % lower odds of osteoporosis (OR = 0.43, 95 % CI: 0.24–0.78, P = 0.028) than the lowest tertile. As a continuous variable, SVR remained significantly associated with BMD (β = 0.03, 95 % CI: 0.02–0.04, P = 0.002) and osteoporosis (OR = 0.67, 95 % CI: 0.50–0.91, P = 0.033). Stronger associations were found in individuals with diabetes (β = 0.09, 95 % CI: 0.06–0.12, P < 0.01) and BMI ≥ 30 (β = 0.07, 95 % CI: 0.05–0.09, P < 0.01).

Conclusion

Higher SVR was significantly associated with increased BMD and lower odds of osteoporosis, suggesting its potential as a marker for bone health assessment. However, the cross-sectional design limits causal inference. Further longitudinal and mechanistic studies are warranted to confirm these findings and explore clinical applicability.
阑尾骨骼肌质量与内脏脂肪面积比、骨密度和骨质疏松症之间的关系:一项横断面研究
目的:本横断面研究利用NHANES数据调查美国成年人阑尾骨骼肌质量与内脏脂肪面积比(SVR)、骨密度(BMD)和骨质疏松症之间的关系。方法对2013-2014年和2017-2018年NHANES周期数据进行分析。多变量回归模型评估了SVR、BMD和骨质疏松症之间的关系,调整了人口统计学、生活方式、代谢和合并症变量。用光滑曲线拟合的广义加性模型和似然比检验来评价模型的拟合。亚组分析探讨效果改变。结果纳入研究对象2325例,平均年龄50.66±5.55岁。在完全调整后的模型中,SVR最高的分位数与最低分位数相比,骨密度升高0.05 g/cm2 (β = 0.05, 95% CI: 0.03-0.08, P = 0.002),骨质疏松症发生率降低57% (OR = 0.43, 95% CI: 0.24-0.78, P = 0.028)。作为一个连续变量,SVR仍然与BMD (β = 0.03, 95% CI: 0.02-0.04, P = 0.002)和骨质疏松(OR = 0.67, 95% CI: 0.50-0.91, P = 0.033)显著相关。糖尿病患者的相关性更强(β = 0.09, 95% CI: 0.06-0.12, P <;0.01)和BMI≥30(β= 0.07,95%置信区间CI: 0.05 - -0.09, P & lt;0.01)。结论较高的SVR与BMD升高和骨质疏松发生率降低有显著相关性,提示其可作为骨健康评估的指标。然而,横截面设计限制了因果推理。需要进一步的纵向和机制研究来证实这些发现并探索临床适用性。
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来源期刊
Experimental gerontology
Experimental gerontology Ageing, Biochemistry, Geriatrics and Gerontology
CiteScore
6.70
自引率
0.00%
发文量
0
审稿时长
66 days
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