关键词: 围绝经期女性, 定量CT, 骨密度, 肥胖指标, 血压, 血小板, 血脂, 血糖, 相关性

Abstract: BACKGROUND: Due to the decline in ovarian function, reduced estrogen secretion, and endocrine disorders, perimenopausal women are more prone to osteoporosis. There are few studies on the correlation of bone mineral density with obesity indicators, blood pressure, blood routine, and glycolipid metabolism in perimenopause women, and the research results are controversial.
OBJECTIVE: To investigate the correlation of bone mineral density with quantitative CT with obesity indicators, blood pressure, platelet count, and glycolipid metabolism in perimenopause women. 
METHODS: This is a single-center retrospective study. 490 perimenopause women who were admitted to Guizhou Hospital of Beijing Jishuitan Hospital from January 1, 2022 to December 31, 2024 were selected. Their age, height, body mass, waist circumference, blood pressure, fasting blood glucose, blood routine, and blood biochemical indicators were collected to calculate body mass index, waist height ratio, body shape index, body roundness index, taper index, visceral fat index, and lipid accumulation index. Lumbar bone mineral density was measured using quantitative CT. According to bone mineral density, they were divided into normal bone mass group, low bone mass group, and osteoporosis group. Multi-sample non-parametric rank-sum test (Kruskal-Walliis Test) was used to compare the differences in various indicators between different bone mineral density groups. Spearman correlation analysis and partial correlation analysis were used to analyze the correlation between bone mineral density and various indicators. 
RESULTS AND CONCLUSION: (1) There were statistically significant differences in age, waist circumference, waist height ratio, body shape index, body roundness index, taper index, visceral fat index, lipid accumulation index, bone density, systolic blood pressure, diastolic blood pressure, platelet count, total cholesterol, triglycerides, and postmenopausal status among different bone mineral density groups (P < 0.05). (2) The results of Spearman correlation analysis showed that bone mineral density of L1 vertebra, bone mineral density of L2 vertebra, and average bone mineral density of L1 and L2 vertebra were negatively correlated with waist circumference, waist height ratio, body shape index, body roundness index, taper index, visceral fat index, lipid accumulation index, systolic blood pressure, and diastolic blood pressure (P < 0.05), and positively correlated with platelet count (P < 0.05). Bone mineral density of L1 vertebra and average bone mineral density were negatively correlated with total cholesterol (P < 0.05). Bone mineral density of L1 vertebra was negatively correlated with triglycerides (P < 0.05). (3) After adjusting for confounding factors, bone mineral density of L1 vertebra, bone mineral density of L2 vertebra, and average bone mineral density of L1 and L2 vertebra remained negatively correlated with waist circumference, body shape index, and taper index (P < 0.05). Bone mineral density of L1 vertebra and average bone mineral density remained negatively correlated with waist height ratio and body roundness index (P < 0.05). Bone mineral density of L2 vertebra was positively correlated with platelet count (P < 0.05). Among the indicators of abdominal obesity, the body shape index and taper index had the largest correlation coefficient, with the body shape index being the most significant. The results indicate that for perimenopause women, after adjusting for confounding factors, bone mineral density with quantitative CT has a certain correlation with abdominal obesity indicators and platelet count, but not with systolic blood pressure, diastolic blood pressure, blood lipids, fasting blood glucose. The results provide valuable insights for early clinical prevention of osteoporosis or delaying the development of osteoporosis, and have certain clinical value.

Key words: perimenopausal women, quantitative CT, bone mineral density, obesity indicators, blood pressure, platelets, blood lipids, blood glucose, correlation