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Associations of the Geriatric Nutritional Risk Index With Femur Bone Mineral Density and Osteoporosis in American Postmenopausal Women: Data From the National Health and Nutrition Examination Survey
被引:15
作者:

Wang, Jie
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Sichuan Univ, West China Hosp, Orthoped Res Inst, Dept Orthoped, Chengdu, Peoples R China Sichuan Univ, West China Hosp, Orthoped Res Inst, Dept Orthoped, Chengdu, Peoples R China

Xing, Fei
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Sichuan Univ, West China Hosp, Orthoped Res Inst, Dept Orthoped, Chengdu, Peoples R China Sichuan Univ, West China Hosp, Orthoped Res Inst, Dept Orthoped, Chengdu, Peoples R China

Sheng, Ning
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Sichuan Univ, West China Hosp, Orthoped Res Inst, Dept Orthoped, Chengdu, Peoples R China Sichuan Univ, West China Hosp, Orthoped Res Inst, Dept Orthoped, Chengdu, Peoples R China

Xiang, Zhou
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Sichuan Univ, West China Hosp, Orthoped Res Inst, Dept Orthoped, Chengdu, Peoples R China Sichuan Univ, West China Hosp, Orthoped Res Inst, Dept Orthoped, Chengdu, Peoples R China
机构:
[1] Sichuan Univ, West China Hosp, Orthoped Res Inst, Dept Orthoped, Chengdu, Peoples R China
基金:
中国国家自然科学基金;
关键词:
geriatric nutrition risk index;
nutrition;
bone mineral density;
osteoporosis;
American postmenopausal women;
SARCOPENIA;
D O I:
10.3389/fnut.2022.860693
中图分类号:
R15 [营养卫生、食品卫生];
TS201 [基础科学];
学科分类号:
100403 ;
摘要:
BackgroundThe geriatric nutritional risk index (GNRI) has been used as a significant tool to access the nutritional status of the elderly. However, the relationship between the GNRI and femur bone mineral density (BMD) and the risk of osteoporosis remains unclear in American postmenopausal women. ObjectivesWe aimed to explore associations between the GNRI with femur BMD and the risk of osteoporosis in American postmenopausal women. MethodsWe merged the continuous National Health and Nutrition Examination Survey (NHANES) 2005-2006, 2007-2008, 2009-2010, 2013-2014, and 2017-2018 to ensure a large and representative sample, including 3,152 participants. The linear relationship between the GNRI and femur BMD was assessed via a weighted multivariate linear regression model. The odds ratios (ORs) and 95% confidence intervals (95% CIs) for the association between the GNRI and the risk of osteoporosis were assessed by a weighted logistic regression model. Moreover, the nonlinear relationship was also characterized by smooth curve fitting (SCF) and a weighted generalized additive model (GAM). ResultsAfter adjusting for all covariates, the weighted multivariable linear regression models demonstrated that the GNRI was positively correlated with femur BMD. The weighted logistic regression models demonstrated that each unit of increased GNRI value was associated with a decreased risk of osteoporosis of 4.13%. When categorizing GNRI based on quartiles, ORs between the risk of osteoporosis and the GNRI across quintiles 2, 3, and 4 compared with quintile 1 were 0.5565 (95% CI: 0.4791, 0.6463; P < 0.000001), 0.5580 (95% CI: 0.4600, 0.6769; P < 0.000001), and 0.3475 (95% CI: 0.2681, 0.4505; P < 0.000001). The trends similar to the above were also observed in SCF and GAM. ConclusionThis study indicated that nutritional status, represented by the GNRI, was positively associated with femur BMD and negatively associated with the risk of osteoporosis in American postmenopausal women. The GNRI may be a good tool to identify American postmenopausal women who need further bone health nutritional support.
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