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Associations between Geriatric Nutrition Risk Index, bone mineral density and body composition in type 2 diabetes patients.
Zhu, Xiao-Xiao; Yao, Kai-Feng; Huang, Hai-Yan; Wang, Li-Hua.
Afiliação
  • Zhu XX; Department of Pediatrics, The Second Affiliated Hospital of Nantong University, First People's Hospital of Nantong City, Nantong 226001, Jiangsu Province, China.
  • Yao KF; Department of Nursing, The Second Affiliated Hospital of Nantong University, First People's Hospital of Nantong City, Nantong 226001, Jiangsu Province, China.
  • Huang HY; Department of Endocrinology, The Second Affiliated Hospital of Nantong University, First People's Hospital of Nantong City, Nantong 226001, Jiangsu Province, China.
  • Wang LH; Department of Nursing, The Second Affiliated Hospital of Nantong University, First People's Hospital of Nantong City, Nantong 226001, Jiangsu Province, China. wlh512512@163.com.
World J Diabetes ; 15(3): 403-417, 2024 Mar 15.
Article em En | MEDLINE | ID: mdl-38591073
ABSTRACT

BACKGROUND:

Type 2 diabetes mellitus (T2DM), a fast-growing issue in public health, is one of the most common chronic metabolic disorders in older individuals. Osteoporosis and sarcopenia are highly prevalent in T2DM patients and may result in fractures and disabilities. In people with T2DM, the association between nutrition, sarcopenia, and osteoporosis has rarely been explored.

AIM:

To evaluate the connections among nutrition, bone mineral density (BMD) and body composition in patients with T2DM.

METHODS:

We enrolled 689 patients with T2DM for this cross-sectional study. All patients underwent dual energy X-ray absorptiometry (DXA) examination and were categorized according to baseline Geriatric Nutritional Risk Index (GNRI) values calculated from serum albumin levels and body weight. The GNRI was used to evaluate nutritional status, and DXA was used to investigate BMD and body composition. Multivariate forward linear regression analysis was used to identify the factors associated with BMD and skeletal muscle mass index.

RESULTS:

Of the total patients, 394 were men and 295 were women. Compared with patients in tertile 1, those in tertile 3 who had a high GNRI tended to be younger and had lower HbA1c, higher BMD at all bone sites, and higher appendicular skeletal muscle index (ASMI). These important trends persisted even when the patients were divided into younger and older subgroups. The GNRI was positively related to ASMI (men r = 0.644, P < 0.001; women r = 0.649, P < 0.001), total body fat (men r = 0.453, P < 0.001; women r = 0.557, P < 0.001), BMD at all bone sites, lumbar spine (L1-L4) BMD (men r = 0.110, P = 0.029; women r = 0.256, P < 0.001), FN-BMD (men r = 0.293, P < 0.001; women r = 0.273, P < 0.001), and hip BMD (men r = 0.358, P < 0.001; women r = 0.377, P < 0.001). After adjustment for other clinical parameters, the GNRI was still significantly associated with BMD at the lumbar spine and femoral neck. Additionally, a low lean mass index and higher ß-collagen special sequence were associated with low BMD at all bone sites. Age was negatively correlated with ASMI, whereas weight was positively correlated with ASMI.

CONCLUSION:

Poor nutrition, as indicated by a low GNRI, was associated with low levels of ASMI and BMD at all bone sites in T2DM patients. Using the GNRI to evaluate nutritional status and using DXA to investigate body composition in patients with T2DM is of value in assessing bone health and physical performance.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: World J Diabetes Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: World J Diabetes Ano de publicação: 2024 Tipo de documento: Article