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体成分与高血压相关性及生物电阻抗法与双能X射线吸收法一致性分析

刘婕妤 李晓 李艳辉 马涛 周侗 马莹 陈曼曼 任燕泽 高迪 陈力 董彦会 马军

刘婕妤, 李晓, 李艳辉, 马涛, 周侗, 马莹, 陈曼曼, 任燕泽, 高迪, 陈力, 董彦会, 马军. 体成分与高血压相关性及生物电阻抗法与双能X射线吸收法一致性分析[J]. 中国公共卫生, 2023, 39(2): 225-232. doi: 10.11847/zgggws1138216
引用本文: 刘婕妤, 李晓, 李艳辉, 马涛, 周侗, 马莹, 陈曼曼, 任燕泽, 高迪, 陈力, 董彦会, 马军. 体成分与高血压相关性及生物电阻抗法与双能X射线吸收法一致性分析[J]. 中国公共卫生, 2023, 39(2): 225-232. doi: 10.11847/zgggws1138216
LIU Jie-yu, LI Xiao, LI Yan-hui, . Correlation of body composition with hypertension and consistency between dual-energy X-ray absorptiometry and bioelectrical impedance in body composition measurement among community adults: a cross-sectional study[J]. Chinese Journal of Public Health, 2023, 39(2): 225-232. doi: 10.11847/zgggws1138216
Citation: LIU Jie-yu, LI Xiao, LI Yan-hui, . Correlation of body composition with hypertension and consistency between dual-energy X-ray absorptiometry and bioelectrical impedance in body composition measurement among community adults: a cross-sectional study[J]. Chinese Journal of Public Health, 2023, 39(2): 225-232. doi: 10.11847/zgggws1138216

体成分与高血压相关性及生物电阻抗法与双能X射线吸收法一致性分析

doi: 10.11847/zgggws1138216
详细信息
    作者简介:

    刘婕妤( 1998 – ),女,山东济南人,博士,研究方向:儿童青少年生长发育与影响因素

    通信作者:

    马军,E-mail:majunt@bjmu.edu.cn

  • (李晓为本文并列第一作者)
  • 中图分类号: R 1

Correlation of body composition with hypertension and consistency between dual-energy X-ray absorptiometry and bioelectrical impedance in body composition measurement among community adults: a cross-sectional study

  • 摘要:   目的   探究各体成分与高血压的相关性,分析生物电阻抗法(BIA)与双能X射线吸收法(DXA)的一致性。  方法  于2020年8 — 11月,在北京市招募20岁以上常住居民1 221人,采用DXA作为金标准,同时使用BIA法测量了受试者肌肉量、肌肉率、脂肪量以及体脂率,通过计算Pearson相关系数和Bland-Altman绘图分析探索DXA与BIA法的相关性及一致性,通过logistic回归分析判断各体成分的连续型变量与高血压的关系。  结果  无论使用DXA法还是BIA法(Inbody 770、体成分分析仪)测量,均为女性脂肪量和体脂率高于男性(P < 0.01)。基于DXA法,体脂率与高舒张压发病呈正相关(OR = 1.067,95 % CI = 1.002~1.139),而肌肉率与高舒张压发病呈负相关(OR = 0.936,95 % CI = 0.881~0.997)。当高血压作为结局时也具有类似的趋势,差异具有统计学意义。使用BIA法测量时,较高的体脂率同样会增加高舒张压的风险,而肌肉率与高舒张压呈显著负相关。  结论  BIA法与DXA法测量的相关性及一致性较高。较高的体脂率是高舒张压的主要独立危险因素,而高肌肉率是高舒张压的保护性因素。
    1)  (李晓为本文并列第一作者)
  • 图  1  DXA与BIA方法测量体成分的 Bland-Altman 分析

    表  1  DXA与BIA法测量方法的人体成分比较

    体成分指标DXAInbody 770体成分分析仪Bonferroni校正 a
    男性 n = 617 n = 617 n = 392
     脂肪量(kg) 19.80 ± 7.71 17.90 ± 8.14 17.12 ± 7.82 DXA > Inbody 770; DXA > 体成分分析仪
     体脂率(%) 26.87 ± 6.35 24.17 ± 7.06 23.46 ± 6.94 DXA > Inbody 770; DXA > 体成分分析仪
     肌肉量(kg) 49.24 ± 6.23 50.62 ± 6.00 50.53 ± 5.95 DXA < Inbody 770; DXA < 体成分分析仪
     肌肉率(%) 69.35 ± 6.23 71.62 ± 6.66 72.51 ± 6.61 DXA < Inbody 770; DXA < 体成分分析仪
    女性 n = 604 n = 604 n = 237
     脂肪量(kg) 22.16 ± 7.80 20.78 ± 8.50 20.74 ± 9.87 DXA > Inbody 770
     体脂率(%) 35.71 ± 6.20 33.30 ± 7.47 32.33 ± 8.49 DXA > Inbody 770; DXA > 体成分分析仪
     肌肉量(kg) 36.20 ± 5.33 37.27 ± 4.78 38.43 ± 5.16 DXA < Inbody 770; DXA < 体成分分析仪
     肌肉率(%) 59.75 ± 9.04 62.64 ± 6.97 64.13 ± 8.03 DXA < Inbody 770; DXA < 体成分分析仪
      注:a Bonferroni校正P α = 0.017。
    下载: 导出CSV

    表  2  DXA与BIA法测量方法的相关性分析(r

    体成分指标Pearson相关系数
    DXA与Inbody 770DXA与体成分分析仪Inbody 770与体成分分析仪
    男性
     脂肪量0.980.970.99
     体脂率0.930.920.98
     肌肉量0.960.960.99
     肌肉率0.920.910.98
    女性
     脂肪量0.990.991.00
     体脂率0.940.940.98
     肌肉量0.960.960.99
     肌肉率0.900.930.99
    下载: 导出CSV

    表  3  DXA与BIA测量体成分与高血压关系的logistic回归分析a

    体成分指标高血压高舒张压高收缩压
    OR95 % CIOR95 % CIOR95 % CI
    DXA
     体脂率(%)1.0631.021~1.1061.0671.002~1.1391.0360.965~1.112
     脂肪量(kg)1.0881.027~1.1521.0860.989~1.1911.0280.929~1.138
     肌肉率(%)0.9530.916~0.9920.9360.881~0.9970.981
    0.914~1.053
     肌肉量(kg)0.9370.886~0.9910.9250.844~1.0150.9900.895~1.095
    Inbody 770
     体脂率(%)1.0611.023~1.1011.0781.016~1.1441.0080.946~1.074
     脂肪量(kg)1.0771.024~1.1341.0951.007~1.1910.9920.908~1.084
     肌肉率(%)0.9410.905~0.9780.9250.869~0.9850.9920.928~1.062
     肌肉量(kg)0.9260.878~0.9780.9100.833~0.9951.0090.918~1.109
    体成分分析仪
     体脂率(%)1.0460.996~1.0981.1231.028~1.2250.9900.910~1.077
     脂肪量(kg)1.059 0.991~1.1311.1831.040~1.3450.9900.881~1.112
     肌肉率(%)0.9590.911~1.0090.8920.813~0.9781.0140.929~1.108
     肌肉量(kg)0.9490.886~1.0170.8460.740~0.9681.0180.901~1.149
      注:a 模型矫正了年龄、性别、体重以及是否服用高血压药物。
    下载: 导出CSV
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  • 接收日期:  2022-02-15
  • 网络出版日期:  2022-12-26
  • 刊出日期:  2023-02-10

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