Jiang Shu, Fu Yu, Chen Lu, Qiu Yi
Department of Echocardiography and Cardiology, The First People's Hospital of Changzhou, Changzhou, Jiangsu Province, 213003, People's Republic of China.
Department of Clinical Nutrition, The First People's Hospital of Changzhou, Changzhou, Jiangsu Province, 213003, People's Republic of China.
Diabetes Metab Syndr Obes. 2025 May 14;18:1587-1598. doi: 10.2147/DMSO.S515563. eCollection 2025.
To research the association among body composition and the presence or absence of comorbid hypertension in postmenopausal women with osteoporosis.
Postmenopausal osteoporosis sufferers according to whether they are combined with hypertension or not were divided into two groups: hypertension-negative group and hypertension-positive group. Compare the indicators of the two groups, find out the independent influencing factors, and test the test effect of influencing factors. Establish a prediction model and analyse the relationship between the prediction model and blood pressure.
There were statistical differences in age, 25-hydroxyvitamin D, uric acid, homocysteine, history of diabetes, high-density lipoprotein cholesterol, body mass index (BMI), waist circumference (WC), body fat mass (BFM), body fat percentage (PBF) and visceral fat area (VFA) between two groups. Logistic analysis showed that BFM and VFA were independent influencing factors for hypertension, with for BFM (OR, 0.46; 95% CI, 0.24-0.90; =0.024) and VFA (OR, 1.06; 95% CI, 1.01-1.13; =0.031). Based on the body composition parameters of BMI, WC, BFM, PBF and VFA, the area under the curve of the prediction model for detecting hypertension was 0.694 by receiver-operating characteristic test (p < 0.001). Using generalized additive model, the predictor were found to have a significant dose-response relationship with systolic blood pressure (SBP), but not with diastolic blood pressure.
BFM and VFA are independent influencing factors for hypertension in postmenopausal osteoporosis patients. In postmenopausal osteoporosis patients, the predictive model composed of body composition related parameters has certain significance in predicting whether postmenopausal osteoporosis is complicated with hypertension. The effect of the prediction model on blood pressure was mainly reflected in SBP.
研究骨质疏松症绝经后女性的身体成分与是否合并高血压之间的关联。
将绝经后骨质疏松症患者按是否合并高血压分为两组：血压正常组和高血压组。比较两组指标，找出独立影响因素，并检验影响因素的检验效果。建立预测模型并分析预测模型与血压之间的关系。
两组在年龄、25-羟基维生素D、尿酸、同型半胱氨酸、糖尿病史、高密度脂蛋白胆固醇、体重指数（BMI）、腰围（WC）、体脂肪量（BFM）、体脂百分比（PBF）和内脏脂肪面积（VFA）方面存在统计学差异。Logistic分析显示，BFM和VFA是高血压的独立影响因素，BFM的比值比（OR）为0.46；95%置信区间（CI）为0.24-0.90；P=0.024，VFA的OR为1.06；95%CI为1.01-1.13；P=0.031）。根据BMI、WC、BFM、PBF和VFA的身体成分参数，通过受试者工作特征检验，检测高血压的预测模型曲线下面积为0.694（P<0.001）。使用广义相加模型，发现预测指标与收缩压（SBP）有显著的剂量反应关系，但与舒张压无此关系。
BFM和VFA是绝经后骨质疏松症患者高血压的独立影响因素。在绝经后骨质疏松症患者中，由身体成分相关参数组成的预测模型对预测绝经后骨质疏松症是否合并高血压具有一定意义。预测模型对血压的影响主要体现在SBP上。
