Weight-adjusted waist index as a new predictor of osteoporosis in postmenopausal patients with T2DM DOI Creative Commons

Guohui Du,

Linna Zeng,

Jingyuan Lan

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 25, 2025

This study aimed to investigate the predictive value of weight-adjusted waist index (WWI) for osteoporosis in postmenopausal patients with type 2 diabetes mellitus (T2DM). cross-sectional included 229 T2DM (mean age 64.53 ± 7.4 years). Collect anthropometric data. Bone mineral density (BMD) lumbar spine and femoral necks was measured using dual-energy X-ray absorptiometry. Calculate WWI Osteoporosis Self-Assessment Tool Asians (OSTA). Use SPSS 25.0 analyze data employing binary logistic regression receiver operating characteristic (ROC) curve. group significantly higher than that non-osteoporosis (11.54 0.82 vs. 11.07 0.73, P = 0.000), while OSTA lower compared (- 1.40 2.8, 0.40) 0.10 1.45,1.80), 0.000). Binary analysis indicated risk ≥ 11.55 3.158 times < (95% CI 1.714-5.820, The ≤ - 1 3.935 > 2.168-7.141, area under ROC curve predicting aged over 70 0.761 0.808, respectively, sensitivities 0.429 0.714. In T2DM, is closely associated negatively correlates BMD. Among 70, may be superior osteoporosis.

Language: Английский

Weight-adjusted waist index as a new predictor of osteoporosis in postmenopausal patients with T2DM DOI Creative Commons

Guohui Du,

Linna Zeng,

Jingyuan Lan

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 25, 2025

This study aimed to investigate the predictive value of weight-adjusted waist index (WWI) for osteoporosis in postmenopausal patients with type 2 diabetes mellitus (T2DM). cross-sectional included 229 T2DM (mean age 64.53 ± 7.4 years). Collect anthropometric data. Bone mineral density (BMD) lumbar spine and femoral necks was measured using dual-energy X-ray absorptiometry. Calculate WWI Osteoporosis Self-Assessment Tool Asians (OSTA). Use SPSS 25.0 analyze data employing binary logistic regression receiver operating characteristic (ROC) curve. group significantly higher than that non-osteoporosis (11.54 0.82 vs. 11.07 0.73, P = 0.000), while OSTA lower compared (- 1.40 2.8, 0.40) 0.10 1.45,1.80), 0.000). Binary analysis indicated risk ≥ 11.55 3.158 times < (95% CI 1.714-5.820, The ≤ - 1 3.935 > 2.168-7.141, area under ROC curve predicting aged over 70 0.761 0.808, respectively, sensitivities 0.429 0.714. In T2DM, is closely associated negatively correlates BMD. Among 70, may be superior osteoporosis.

Language: Английский

Citations

0