河北省成人跟骨定量超声参数与代谢综合征的相关性分析
Association between calcaneal quantitative ultrasound parameters and metabolic syndrome in adults of Hebei province
  
DOI:10.3969/j.issn.1006-7108.2022.07.006
中文关键词:  定量超声  代谢综合征  河北省  成年人
英文关键词:quantitative ultrasound  metabolic syndrome  Hebei  adults
基金项目:国家重点研发计划(2016YFC0900600,2016YFC0900603);河北省医学科学研究课题计划(20200697)
作者单位
赵晶晶1 曹亚景1 孙纪新1 单广良2 张玲3 何慧婧2 刘括3 崔泽1* 1.河北省疾病预防控制中心慢性非传染性疾病防治所河北 石家庄 050021 2.中国医学科学院基础医学研究所北京 100005 3.首都医科大学公共卫生学院北京 100069 
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中文摘要:
      目的 探讨河北省成人跟骨定量超声参数(quantitative ultrasound parameters,QUS)与代谢综合征(metabolic syndrome,MS)之间的关联。方法 用多阶段分层整群抽样方法抽取河北省20~80岁常住居民进行问卷调查、体格检查和血液生化检测。使用Pegaus超声骨密度仪测量研究对象右跟骨定量超声骨密度参数[声速(speed of sound,SOS)和宽带超声衰减(broadband ultrasonic attenuation,BUA)]。结果 有效样本6 206人(男性2 426人,女性3 780人),平均年龄(48.02±13.49)岁。MS患病率为20.27%。Spearman相关分析结果显示,男性BUA水平与体质量指数(BMI)和甘油三酯(TG)呈正相关,与收缩压(SBP)和高密度脂蛋白(HDL-c)呈负相关;SOS水平与BMI呈正相关,与空腹血糖(FPG)和TG呈负相关(P均<0.05)。女性BUA水平与BMI和TG呈正相关,与SBP、DBP和HDL-c呈负相关;SOS水平与SBP、DBP、FPG和TG呈负相关(P均<0.05)。调整年龄、民族、文化程度、吸烟和饮酒等因素后,多因素Logistic回归结果显示男性BUA水平Q4组发生MS的风险是Q1组的1.53倍(95% CI=1.12~2.08),未发现SOS水平与MS的关联(P>0.05)。女性MS发生风险随BUA水平的升高而增高,Q2、Q3和Q4组发生MS的风险分别为Q1组的1.56、1.66和1.74倍,SOS水平Q4组发生MS的风险是Q1组的1.35倍(95% CI=1.01~1.81)。结论 QUS与MS密切相关,尽管目前MS不是骨质疏松症的重要危险因素,但SBP、DBP、FPG和HDL与QUS参数之间的反比关系提示了改善代谢对促进骨骼健康的必要性。
英文摘要:
      Objective To investigate the association between calcaneal quantitative ultrasound parameters (QUS) with metabolic syndrome (MS) in adults of Hebei province. Methods Adults aged 20-80 years old were selected for questionnaire survey, physical examination and blood biochemical testing through multi-stage stratified cluster sampling method. Calcaneal QUS was measured at the right foot by experienced operators with a Pegaus ultrasound equipment. Broadband ultrasonic attenuation (BUA) and speed of sound (SOS) were recorded. Results Among the 6491 adults (2426 males, 3780 females), with an average age of 48.02±13.49 years old, the prevalence of MS was 20.27%. Spearman correlation analysis found that, in males, BUA levels were positively correlated with body mass index (BMI) and triglycerides (TG), and negatively correlated with systolic blood pressure (SBP) and high-density lipoprotein (HDL-C). SOS levels were positively correlated with BMI, but were negatively correlated with fasting blood glucose (FPG) and TG (both P<0.05). In females, BUA level was positively correlated with BMI and TG, but negatively correlated with SBP, DBP, and HDL-C. SOS level was negatively correlated with SBP, DBP, FPG, and TG (all P<0.05). Multivariate logistic regression analyses showed that the risk of MS increased with BUA quantile levels after adjusting for age, ethnicity, education level, smoking and drinking etc, with an odds ratio (OR) of 1.53 times (95% CI=1.12-2.08) in Q4 group compared to that in Q1 group in males. There was no correlation between the risk of MS and SOS level. In females, the risk of MS increased with BUA quantile levels with an odds ratio (OR) of 1.56, 1.66, and 1.74 times in Q2, Q3, and Q4 group compared to those in Q1 group, respectively, and the risk of MS in Q4 group of SOS level was 1.35 (95% CI=1.01-1.81) compared to that in Q1 group. Conclusion QUS is closely related to MS. Although MS is not an important risk factor for osteoporosis currently, the reverse relationship between SBP, DBP, FPG, HDL and QUS parameters suggests the necessity of improving metabolism to promote bone health.
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