摘要
目的了解中国健康定量CT(QCT)大数据项目2018—2019年入组人群的基线特征。方法以中国健康定量CT大数据项目2018年1月至2019年12月符合标准的入组人群为研究对象, 骨密度和腹内脂肪的测量采用Mindways的定量CT Pro Model 4系统。描述性分析入组人群的年龄、性别、地区分布以及身高、体重、腹围、血压、血常规及血生化等健康指标的基线情况, 并采用单因素方差分析分性别对骨密度和腹内脂肪年龄变化趋势进行趋势检验。结果经对主要指标的纳入排除标准及异常值筛选后, 最终86 113例纳入本研究, 入组率为92.47%, 其中女性35 431例(41.1%), 男性50 682例(58.9%), 男女比值为1.43。总体年龄为(50.3±12.7)岁, 男性为(50.2±12.8)岁, 女性为(50.4±12.5)岁, 性别差异无统计学意义(P>0.05)。按地区划分, 华东地区入组最多, 共43 833例(50.90%), 其次为华中地区16 434例(19.08%), 东北地区最低2 914例(3.38%)。与主要研究结局相关的健康信息指标入组率基本在70%以上, 且两性差异均有统计学意义(均P<0.05)。女性骨密度为(139.33±46.76)mg/cm3, 男性为(135.90±36.48)mg/cm3, 不同性别骨密度整体表现为随年龄递减趋势(均P<0.001);女性腹内脂肪面积为(116.39±56.23)cm2, 男性为(191.67±77.07)cm2, 不同性别整体表现为随年龄递增趋势(均P<0.001)。结论基于QCT测量的基线骨密度和腹内脂肪均存在性别差异且年龄趋势不同, 健康信息指标也有性别差异;此外, 由于纳入数据的地区差异, 也需考虑地区因素。
Objective To describe the baseline characteristics of the subjects enrolled in the China Quantitative CT(QCT)big data program in 2018—2019.Methods Based on baseline data from the Chinese health big data project from January 2018 to December 2019 from the eligible enrolled population,measurements of bone mineral density(BMD)and visceral adipose tissue(VAT)were performed using Mindways′QCT Pro Model 4 system.The baseline data of age,gender,regional distribution,height,weight,abdominal circumference,blood pressure,blood routine and blood biochemical tests were analyzed.And the single factor analysis of variance(ANOVA)was used to check the age related trend of BMD and VAT in both genders.Results After screening the inclusion exclusion criteria and outliers of the main indicators,86113 people were enrolled in the project.The enrollment rate was 92.47%,including 35431(41.1%)women and 50682(58.9%)men,and the ratio of men to women was 1.43.The mean age was(50.3±12.7)years in all the subjects,and it was(50.2±12.8)years and(50.4±12.5)years in men and women,respectively,and there was no statistical difference between the two genders(P>0.05).Total of 43833 people were enrolled in east China,it was the largest group by region(50.90%),it was followed by central China(16434 people,19.08%),and the number of people enrolled in Northeast China was the lowest(2914 people,3.38%).The rate of completing of health information indicators related to the main outcome of the study were all above 70%,and there were significant differences between men and women(all P<0.05).The mean BMD was(139.33±46.76)mg/cm3 in women,(135.90±36.48)mg/cm3 in men,which showed a decreasing trend with age in both gender(both P<0.001);the mean intra-abdominal fat area was(116.39±56.23)cm2 in women,(191.67±77.07)cm2 in men,and there was an increasing trend with age in both men and women(both P<0.001).Conclusions There are gender differences in BMD and VAT measured by QCT with different age tendency,and there are gender differences in health information index.Regional factors should also be taken into account for regional differences in the inclusion of data.
作者
赵凯平
翟建
冉利梅
李永丽
陈爽
吴艳
洪国斌
陆勇
张玉琴
马骁
陆靖
肖喜刚
龚向阳
杨泽宏
陈伟
吕英茹
高剑波
李绍林
李跃华
查晓娟
郭智萍
曾强
李真林
吴静
程晓光
Kaiping Zhao;Jian Zhai;Limei Ran;Yongli Li;Shuang Chen;Yan Wu;Guobin Hong;Yong Lu;Yuqin Zhang;Xiao Ma;Jing Lu;Xigang Xiao;Xiangyang Gong;Zehong Yang;Wei Chen;LüYingru;Jianbo Gao;Shaolin Li;Yuehua Li;Xiaojuan Zha;Zhiping Guo;Qiang Zeng;Zhenlin Li;Jing Wu;Xiaoguang Cheng(Department of Medical Record Management and Statistics,Beijing Jishuitan Hospital,Beijing 100035,China;Department of Radiology,Yijishan Hospital of Wannan Medical College,Wuhu 241001,China;Department of Health Management,the Affiliated Hospital of Guiyang Medical University,Guiyang 550004,China;Department of Health Management,Henan Provincial People′s Hospital,Zhengzhou 450003,China;Department of Radiology,the Affiliated Huashan Hospital of Fudan University,Shanghai 200040,China;Department of Radiology,the First Affiliated Hospital of Zhengzhou University,Zhengzhou 450052,China;Department of Radiology,the Fifth Affiliated Hospital of Sun Yat-Sen University,Zhuhai 519000,China;Department of Radiology,Ruijin Hospital,Shanghai Jiao Tong University School of Medicine,Shanghai 200025,China;Department of Radiology,Ningbo Medical Center Li Huili Hospital,Ningbo 315040,China;Medical Examination Center,China-Japan Friendship Hospital,Beijing 100029,China;Department of Radiology,Shanghai Jiao Tong University Affiliated Sixth People′s Hospital,Shanghai 200233,China;Department of Radiology,the First Affiliated Hospital of Harbin Medical University,Harbin 150001,China;Department of Radiology,the People′s Hospital of Zhejiang Province,Hangzhou 310014,China;Department of Radiology,Sun Yat-sen Memorial Hospital of the Sun Yat-sen University,Guangzhou 510120,China;Department of Radiology,Southwest Hospital,Army Medical University,Chongqing 400038,China;Department of Health Center,Yijishan Hospital of Wannan Medical College,Wuhu 241001,China;Health Management Center of Fuwai Central China Cardiovascular Hospital,Henan Provincial People′s Hospital,Zhengzhou 451464,China;Health Management Institute,the Second Medical Center,Chinese PLA General Hospital,Beijing 100853,China;Department of Radiology,Sichuan University West China Hospital,Chengdu 610041,China;National Center for Chronic and Noncommunicable Disease Control and Prevention,Chinese Center for Disease Control and Prevention,Beijing 100050,China;Department of Radiology,Beijing Jishuitan Hospital,Beijing 100035,China)
出处
《中华健康管理学杂志》
CAS
CSCD
2022年第9期596-603,共8页
Chinese Journal of Health Management
基金
国家重点研发计划(2020YFC2004902)
北京市医院管理中心临床医学发展专项(ZYLX202107)
北京积水潭医院“学科新星”计划专项(XKXX201816)。
关键词
健康状况
内脏脂肪组织
骨密度
定量CT
大数据
Health status
Visceral adipose tissue
Bone mineral density
Quantitative CT
Big data
