Aims and objectives <p>To examine whether bone mineral density (BMD) mediates the association between geriatric nutritional risk index (GNRI) and sarcopenia in hospitalized adults with type 2 diabetes mellitus (T2DM).</p> Background <p>Nutritional risk, low BMD, and sarcopenia frequently coexist in T2DM, but their interrelationship remains insufficiently understood.</p> Methods <p>This single-center, cross-sectional study included 362 hospitalized patients with T2DM. The GNRI was calculated using serum albumin and anthropometric data. Femoral neck BMD was measured using dual-energy X-ray absorptiometry and sarcopenia was defined according to the 2019 criteria of the Asian Working Group for Sarcopenia. Group comparisons, Pearson correlation analyses and bootstrap-based mediation analyses were performed with covariate adjustment.</p> Result <p>Sarcopenia was identified in 73 patients (20.2%), while osteoporosis was identified in 104 patients (28.7%). Patients with sarcopenia had significantly lower GNRI and BMD than those without sarcopenia (both P &lt; 0.001). GNRI was positively correlated with BMD (r = 0.382) and skeletal muscle index (r = 0.216), while BMD was positively correlated with skeletal muscle index (r = 0.285) (all P &lt; 0.01). In adjusted models, a higher GNRI score was associated with a higher BMD score (β = 0.004, 95% CI 0.002–0.006), while a higher BMD score was associated with a lower odds of sarcopenia (OR = 0.100, 95% CI 0.012–0.859). BMD partially mediated the association between GNRI and sarcopenia (indirect effect = −&#xa0;0.001, 95% CI −&#xa0;0.002 to −&#xa0;0.000), accounting for 6.6% of the total association. This mediation effect was significant in men, but not in women.</p> Conclusion <p>A lower GNRI was associated with sarcopenia, both directly and indirectly via lower BMD, in hospitalized patients with T2DM. Further longitudinal studies are needed to confirm temporality.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Geriatric nutritional risk index, bone mineral density, and sarcopenia in hospitalized patients with type 2 diabetes mellitus: a cross-sectional study

  • Lina Wu,
  • Tuokai Su,
  • Yijiao Ding,
  • Xiaoyun Ying,
  • Haojin Yang,
  • Ping Zhang,
  • Xiaoqun Xu,
  • Xueqin Lu

摘要

Aims and objectives

To examine whether bone mineral density (BMD) mediates the association between geriatric nutritional risk index (GNRI) and sarcopenia in hospitalized adults with type 2 diabetes mellitus (T2DM).

Background

Nutritional risk, low BMD, and sarcopenia frequently coexist in T2DM, but their interrelationship remains insufficiently understood.

Methods

This single-center, cross-sectional study included 362 hospitalized patients with T2DM. The GNRI was calculated using serum albumin and anthropometric data. Femoral neck BMD was measured using dual-energy X-ray absorptiometry and sarcopenia was defined according to the 2019 criteria of the Asian Working Group for Sarcopenia. Group comparisons, Pearson correlation analyses and bootstrap-based mediation analyses were performed with covariate adjustment.

Result

Sarcopenia was identified in 73 patients (20.2%), while osteoporosis was identified in 104 patients (28.7%). Patients with sarcopenia had significantly lower GNRI and BMD than those without sarcopenia (both P < 0.001). GNRI was positively correlated with BMD (r = 0.382) and skeletal muscle index (r = 0.216), while BMD was positively correlated with skeletal muscle index (r = 0.285) (all P < 0.01). In adjusted models, a higher GNRI score was associated with a higher BMD score (β = 0.004, 95% CI 0.002–0.006), while a higher BMD score was associated with a lower odds of sarcopenia (OR = 0.100, 95% CI 0.012–0.859). BMD partially mediated the association between GNRI and sarcopenia (indirect effect = − 0.001, 95% CI − 0.002 to − 0.000), accounting for 6.6% of the total association. This mediation effect was significant in men, but not in women.

Conclusion

A lower GNRI was associated with sarcopenia, both directly and indirectly via lower BMD, in hospitalized patients with T2DM. Further longitudinal studies are needed to confirm temporality.