文章摘要
40~60岁体检人群中脂肪肝与骨密度的相关性
Correlation analysis on bone mineral density and fatty liver disease in physical examination populations aged 40 to 60 years
投稿时间:2024-08-04  
DOI:10.3969/j.issn.1000-0399.2025.05.018
中文关键词: 脂肪肝|骨密度|体检人群|骨矿盐含量
英文关键词: Fatty liver disease|Bone mineral density|Physical examination populations|Bone mineral content
基金项目:国家自然科学基金项目(编号:72404258、72072169)~~
作者单位E-mail
黎雨婷 233030 安徽蚌埠 蚌埠医科大学公共卫生学院
230001 安徽合肥 中国科学技术大学附属第一医院(安徽省立医院) 
 
姚蓓 230001 安徽合肥 中国科学技术大学附属第一医院(安徽省立医院)  
卫莹 230001 安徽合肥 中国科学技术大学附属第一医院(安徽省立医院)  
刘雪晗 230001 安徽合肥 中国科学技术大学附属第一医院(安徽省立医院)  
李义娜 230026 安徽合肥 中国科学技术大学管理学院  
杨春梅 233030 安徽蚌埠 蚌埠医科大学公共卫生学院
230001 安徽合肥 中国科学技术大学附属第一医院(安徽省立医院)
230031 安徽合肥 安徽省肿瘤医院 
chunmeiyang@ustc.edu.cn 
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中文摘要:
      目的 探讨40~60岁人群骨密度与脂肪肝的相关性。方法 选取2021-2023年在中国科学技术大学附属第一医院健康管理中心接受体检的2 387名40~60岁人群作为研究对象,根据FibroTouch诊断结果将研究对象分为非脂肪肝组(682例)、轻度脂肪肝组(1 025例)和中度脂肪肝组(681例)。构建交互作用模型,评估性别、年龄和骨密度的交互作用与不同脂肪肝组之间的相关性。随后,按性别和年龄分层,利用单因素分析比较骨密度在不同组间的差异,构建多因素logistic回归模型,探究不同脂肪肝组与骨密度之间的关联。结果 不同脂肪肝组间的T值、骨矿盐含量和骨密度差异有统计学意义(P均<0.05)。在女性中,3组T值和骨密度差异具有统计学意义(P均<0.05);logistic回归分析结果显示,骨密度升高是轻度脂肪肝发生的保护因素(OR=0.269,95%CI:0.091~0.791),而在男性中未见此关联(P>0.05)。在40~50岁人群中,3组T值和骨矿盐含量差异有统计学意义(P均<0.05),但骨密度与脂肪肝之间无关联(P>0.05)。在50~60岁人群中,3组T值、骨矿盐含量和骨密度差异具有统计学意义(P均<0.05);logistic回归分析结果显示,骨密度升高是轻度脂肪肝发生的保护因素(OR=0.353,95%CI:0.126~0.987) 。结论 在女性和50~60岁年龄段人群中,不同脂肪肝程度人群其骨密度有明显差异,且骨密度降低可能与轻度脂肪肝的发生相关。
英文摘要:
      Objective This research intends to investigate the correlation between bone mineral density(BMD) and the severity of fattyliver disease(FLD) among individuals aged 40 to 60 on health examination data. Methods We selected individuals aged 40-60 who under-went health examinations at the Health Management Center of the First Affiliated Hospital of University of Science and Technology of China, from 2021 to 2023. Based on FibroTouch diagnostic outcomes, they were categorized into three groups: non-FLD(682 cases), mild FLD(1025cases), and moderate FLD(681 cases). An interaction model was constructed to evaluate the interaction between gender, age, and BMD and itscorrelation with different FLD groups. Then, the data was stratified by gender and age, univariate analysis was used to compare the differencesin BMD among different groups, and a multivariate logistic regression model was constructed to explore the association between different FLDgroups and BMD. Results There were statistically significant differences in T-scores, bone mineral content, and BMD among different FLDgroups(P<0.05). In females, statistically significant differences were observed in T-scores and BMD among the three groups(P<0.05). Logisticregression showed that an increased BMD was a protective factor against the occurrence of mild FLD(OR=0.269, 95%CI: 0.091~0.791). How-ever, this association was not found in males(P>0.05). In the 40~50 age group, statistically significant differences were observed in T-scoresand bone mineral content among the three groups(P<0.05), but no significant association was found between BMD and FLD(P>0.05).In the 50~60 age group, statistically significant differences were observed in T-scores, bone mineral content, and BMD among the three groups(P<0.05). Logistic regression shows that an increased BMD is a protective factor against the occurrence of mild FLD(OR=0.353, 95%CI: 0.126~0.987). Conclusion In female and aged 50 to 60 populations, significant differences in BMD exist among people with different degrees ofFLD, and a reduced BMD may be associated with the occurrence of mild FLD.
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