Song Qingming, Zhou Yunqing, Yang Yiwen, Wei Yaping, Sheng Li, Xu Fangyuan
Department of Endocrinology, Changzhou Hospital of Traditional Chinese Medicine, Changzhou 213003, China.
Department of Education and Training, Changzhou Hospital of Traditional Chinese Medicine, Changzhou 213003, China.
Nutr Res Pract. 2025 Jun;19(3):375-385. doi: 10.4162/nrp.2025.19.3.375. Epub 2025 Jan 8.
BACKGROUND/OBJECTIVES: Osteoporosis (OS) is a systemic bone disease that increases bone fragility and fracture susceptibility, which is characterized by reduced bone mass, poor bone quality, and decreased bone strength. This study examined the risk factors for OS in the elderly.
SUBJECTS/METHODS: Two hundred elderly patients who underwent examinations in the authors' hospital from July 2021 to October 2023 were selected as the research subjects. The subject's clinical data were analyzed retrospectively to understand the characteristics or changes of the study subjects during the period. The subjects who met the inclusion criteria were divided into an OS group (S group, 73 cases with T value ≤ -2.5 SD) and a non-OS group (NS group, 127 cases with T value > -2.5 SD) based on dual-energy X-ray absorptiometry. The receiver operating characteristics were applied to analyze the predictive value.
Age (> 65 yrs), sex (female), visceral fat areas (VFA) (> 86 cm), calcium intake (low), bone mineral density (BMD) (≤ 81 mg/cm), and parathyroid hormone (PTH) (> 67 pg/mL) were risk factors for the development of OS. The model showed an accuracy, sensitivity, and specificity of 86.50% (173/200), 93.15% (68/73), and 82.68% (105/127), respectively. The areas under the curve for age, body mass index (BMI), VFA, and combined detection were 0.733, 0.757, 0.811, and 0.902, respectively. The combined detection had a higher predictive value for OS.
Age, sex, BMI, VFA, calcium intake, BMD, and PTH were relevant factors affecting the development of OS. The combined detection by age, BMI, and VFA could predict the development of OS.
背景/目的：骨质疏松症（OS）是一种全身性骨病，会增加骨脆性和骨折易感性，其特征为骨量减少、骨质差和骨强度降低。本研究调查了老年人患骨质疏松症的风险因素。
对象/方法：选取2021年7月至2023年10月在作者所在医院接受检查的200名老年患者作为研究对象。对研究对象的临床资料进行回顾性分析，以了解该时期研究对象的特征或变化。根据双能X线吸收法，将符合纳入标准的研究对象分为骨质疏松症组（S组，73例，T值≤ -2.5标准差）和非骨质疏松症组（NS组，127例，T值> -2.5标准差）。应用受试者工作特征曲线分析预测价值。
年龄（>65岁）、性别（女性）、内脏脂肪面积（VFA）（>86平方厘米）、钙摄入量（低）、骨密度（BMD）（≤81毫克/平方厘米）和甲状旁腺激素（PTH）（>67皮克/毫升）是发生骨质疏松症的风险因素。该模型的准确率、灵敏度和特异度分别为86.50%（173/200）、93.15%（68/73）和82.68%（105/127）。年龄、体重指数（BMI）、VFA及联合检测的曲线下面积分别为0.733、0.757、0.811和0.902。联合检测对骨质疏松症具有更高的预测价值。
年龄、性别、BMI、VFA、钙摄入量、BMD和PTH是影响骨质疏松症发生发展相关因素。年龄、BMI和VFA联合检测可预测骨质疏松症的发生发展。
