Suppr超能文献

2 型糖尿病绝经后妇女的危险因素与骨密度的关系及早期骨质疏松筛查自评工具的建立。

Association between risk factors and bone mineral density and the development of a self-assessment tool for early osteoporosis screening in postmenopausal women with type 2 diabetes.

机构信息

Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.

Department of Endocrinology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.

出版信息

PeerJ. 2024 Oct 11;12:e18283. doi: 10.7717/peerj.18283. eCollection 2024.

Abstract

BACKGROUND

Both diabetes and osteoporosis have developed into major global public health problems due to the increasing aging population. It is crucial to screen populations at higher risk of developing osteoporosis for disease prevention and management in postmenopausal women with type 2 diabetes (T2D). This study aims to quantitatively investigate the association between risk factors and bone mineral density (BMD) and develop a self-assessment tool for early osteoporosis screening in postmenopausal women with T2D.

METHODS

We retrospectively enrolled 1,309 postmenopausal women with T2D. Linear regression methods were used to assess the association between risk factors and BMD. Additionally, a multivariate logistic regression analysis was performed to identify independent risk factors associated with osteoporosis. Utilizing the logistic regression machine learning algorithm, we developed an osteoporosis screening tool that categorizes the population into three risk regions based on age and body mass index (BMI), indicating low, moderate, and high prevalence of osteoporosis in the age-BMI plane.

RESULTS

Older age and lower BMI were independently associated with decreased BMD. The BMD at the total hip, femur neck, and lumbar spine differed by 12.9, 10.9, and 15.5 mg/cm for each 1 unit increase in BMI, respectively. Both age and BMI were identified as independent predictors of osteoporosis. The osteoporosis screening tool was developed by using two straight lines with equations of BMI = 0.56 * age-4.12 and BMI = 0.56 * age-10.88; there were no significant differences in the prevalence of osteoporosis among the training, internal test, and external test datasets in the low-, moderate-, and high-risk regions.

CONCLUSION

We have successfully developed and validated a self-assessment tool for early osteoporosis screening in postmenopausal women with T2D for the first time. BMI was identified as a significant modifiable risk factor. Our study may improve awareness of osteoporosis and is valuable for disease prevention and management for postmenopausal women with T2D.

摘要

背景

由于人口老龄化的增加,糖尿病和骨质疏松症已成为主要的全球公共卫生问题。对于 2 型糖尿病(T2D)绝经后妇女,为了预防和管理疾病,筛查骨质疏松症高危人群至关重要。本研究旨在定量研究危险因素与骨密度(BMD)之间的关系,并为 T2D 绝经后妇女的早期骨质疏松症筛查开发一种自我评估工具。

方法

我们回顾性纳入了 1309 名 T2D 绝经后妇女。线性回归方法用于评估危险因素与 BMD 之间的关系。此外,还进行了多变量 logistic 回归分析,以确定与骨质疏松症相关的独立危险因素。利用 logistic 回归机器学习算法,我们开发了一种骨质疏松症筛查工具,根据年龄和体重指数(BMI)将人群分为三个风险区域,在年龄-BMI 平面上表示骨质疏松症的低、中、高流行率。

结果

年龄较大和 BMI 较低与 BMD 降低独立相关。BMI 每增加 1 单位,全髋、股骨颈和腰椎的 BMD 分别降低 12.9、10.9 和 15.5 mg/cm。年龄和 BMI 均为骨质疏松症的独立预测因子。骨质疏松症筛查工具是通过两条直线开发的,方程为 BMI = 0.56 * age-4.12 和 BMI = 0.56 * age-10.88;在低、中、高风险区域的训练、内部测试和外部测试数据集中,骨质疏松症的患病率没有显著差异。

结论

我们首次成功开发并验证了 T2D 绝经后妇女早期骨质疏松症筛查的自我评估工具。BMI 被确定为一个重要的可改变危险因素。我们的研究可能会提高对骨质疏松症的认识,对于 T2D 绝经后妇女的疾病预防和管理具有重要价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4527/11472793/28cfde93c28b/peerj-12-18283-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验