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Introduction <p>To explore the associations between hormones, metabolic markers, and low bone mass in perimenopausal and postmenopausal women.</p> Materials and methods <p>A total of 198 women were enrolled in this study. The correlations between hormones, metabolic markers, and BMD were analyzed. Risk factors for bone loss were identified. Receiver operating characteristic (ROC) curves were used to display the predictive power of these risk factors.</p> Results <p>The years since menopause and the levels of glucose (GLU), follicle-stimulating hormone (FSH), and luteinizing hormone (LH) were inversely correlated with BMD, while estrogen and testosterone were positively correlated with BMD. Age (odds ratio [OR] 1.232; 95% confidence interval [CI] 1.106–1.372; <i>p</i> &lt; 0.001), GLU (OR 1.848; 95% CI 1.116–3.059; <i>p</i> = 0.017), and FSH (OR 1.089; 95% CI 1.003–1.182; <i>p</i> = 0.042) were identified as risk factors for bone loss. Age (AUC = 0.884, 95% CI 0.833–0.935), FSH (AUC = 0.824, 95% CI 0.760–0.888), and GLU (AUC = 0.683, 95% CI 0.599–0.768) demonstrated significant discrimination capability for bone loss. The combined application of these factors resulted in a better prediction effect (AUC = 0.930, 95% CI 0.893–0.967).</p> Conclusions <p>Age, FSH, and GLU were found to be specific risk factors for bone loss. The utilization of these factors offers compelling predictive power for bone loss in perimenopausal and postmenopausal women.</p>

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Associations between hormones, metabolic markers, and bone mass in perimenopausal and postmenopausal women

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年3月5日

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  • Bingru Lu,
  • Qunxiao Han,
  • Shiyu Zhao,
  • Shan Ding,
  • Guolin Bao,
  • Yiqing Liu

摘要

Introduction

To explore the associations between hormones, metabolic markers, and low bone mass in perimenopausal and postmenopausal women.

Materials and methods

A total of 198 women were enrolled in this study. The correlations between hormones, metabolic markers, and BMD were analyzed. Risk factors for bone loss were identified. Receiver operating characteristic (ROC) curves were used to display the predictive power of these risk factors.

Results

The years since menopause and the levels of glucose (GLU), follicle-stimulating hormone (FSH), and luteinizing hormone (LH) were inversely correlated with BMD, while estrogen and testosterone were positively correlated with BMD. Age (odds ratio [OR] 1.232; 95% confidence interval [CI] 1.106–1.372; p < 0.001), GLU (OR 1.848; 95% CI 1.116–3.059; p = 0.017), and FSH (OR 1.089; 95% CI 1.003–1.182; p = 0.042) were identified as risk factors for bone loss. Age (AUC = 0.884, 95% CI 0.833–0.935), FSH (AUC = 0.824, 95% CI 0.760–0.888), and GLU (AUC = 0.683, 95% CI 0.599–0.768) demonstrated significant discrimination capability for bone loss. The combined application of these factors resulted in a better prediction effect (AUC = 0.930, 95% CI 0.893–0.967).

Conclusions

Age, FSH, and GLU were found to be specific risk factors for bone loss. The utilization of these factors offers compelling predictive power for bone loss in perimenopausal and postmenopausal women.