CAJ | 학술논문

目的探讨老年人群长时收缩压变异性(SBPV)与短时SBPV的相关性.方法 2006至2007年第1次对开滦集团公司在职及离退休职工进行健康体检,此后分别于2008至2009、2010至2011、2012至2013年进行第2、3、4次健康体检,并于第3次体检时整群抽取年龄≥60岁的开滦集团离退休员工2814名进行动态血压监测等检查.符合入选标准的研究对象共2464名,将其中长时及24h血压资料完整的研究对象752名纳入统计分析.长时SBPV用长时收缩压标准差(SSD)来表示,长时SSD采用2006至2007、2008至2009、2010至2011、2012至2013年度的收缩压值计算;短时SBPV用24h动态血压监测所获得的SSD来表示,即24h SSD、日间SSD和夜间SSD.按照长时SSD的三分位数,将其分为3组:第一分位组长时SSD＜9.09mmHg(1mmHg=0.133kPa),第二分位组长时SSD≥9.09mmHg且＜14.29mmHg、第三分位组长时SSD≥14.29mmHg.采用多因素logistic回归分析长时SBPV与短时SBPV的关系.结果 (1)研究对象的年龄为(67.0±5.7)岁,女性占37.8％(284/752).(2)第一、二、三分位组的24h SSD分别为(14.7±4.0)mmHg、(14.7±3.5)mmHg和(15.7±4.4)mmHg(P=0.010),日间SSD分别为(14.1±4.4)mmHg、(14.2±3.5)mmHg和(15.4±4.6)mmHg(P＜0.001),夜间SSD分别为(12.0±4.4)mmHg、(11.8±4.8)mmHg和(11.9±4.9)mmHg(P=0.900).(3)多因素logistic回归分析显示,第三分位组是日间SSD＞14.00mmHg的危险因素(OR=1.51,95％CI:1.03～2.23,P=0.037);第三分位组不是24h SSD＞14.41mmHg(OR=1.10,95％CI:0.75～1.61,P=0.639)和夜间SSD＞11.11mmHg(OR=0.98,95％CI:0.67～1.42,P=0.899)的危险因素.结论老年人群高长时收缩压变异性是日间收缩压变异性增高的危险因素.
목적 탐토노년인군장시수축압변이성(SBPV)여단시SBPV적상관성.방법 2006지2007년제1차대개란집단공사재직급리퇴휴직공진행건강체검,차후분별우2008지2009、2010지2011、2012지2013년진행제2、3、4차건강체검,병우제3차체검시정군추취년령≥60세적개란집단리퇴휴원공2814명진행동태혈압감측등검사.부합입선표준적연구대상공2464명,장기중장시급24h혈압자료완정적연구대상752명납입통계분석.장시SBPV용장시수축압표준차(SSD)래표시,장시SSD채용2006지2007、2008지2009、2010지2011、2012지2013년도적수축압치계산;단시SBPV용24h동태혈압감측소획득적SSD래표시,즉24h SSD、일간SSD화야간SSD.안조장시SSD적삼분위수,장기분위3조:제일분위조장시SSD＜9.09mmHg(1mmHg=0.133kPa),제이분위조장시SSD≥9.09mmHg차＜14.29mmHg、제삼분위조장시SSD≥14.29mmHg.채용다인소logistic회귀분석장시SBPV여단시SBPV적관계.결과 (1)연구대상적년령위(67.0±5.7)세,녀성점37.8％(284/752).(2)제일、이、삼분위조적24h SSD분별위(14.7±4.0)mmHg、(14.7±3.5)mmHg화(15.7±4.4)mmHg(P=0.010),일간SSD분별위(14.1±4.4)mmHg、(14.2±3.5)mmHg화(15.4±4.6)mmHg(P＜0.001),야간SSD분별위(12.0±4.4)mmHg、(11.8±4.8)mmHg화(11.9±4.9)mmHg(P=0.900).(3)다인소logistic회귀분석현시,제삼분위조시일간SSD＞14.00mmHg적위험인소(OR=1.51,95％CI:1.03～2.23,P=0.037);제삼분위조불시24h SSD＞14.41mmHg(OR=1.10,95％CI:0.75～1.61,P=0.639)화야간SSD＞11.11mmHg(OR=0.98,95％CI:0.67～1.42,P=0.899)적위험인소.결론 노년인군고장시수축압변이성시일간수축압변이성증고적위험인소.
Objective To investigate the correlation between long time systolic blood pressure variability(SBPV) and short time SBPV in aged population.Methods A total of 752 subjects aged ≥60 years of Kailuan Group who took part in 2006-2007,2008-2009,2010-2011 and 2012-2013 health examination were included by cluster sampling method.Long time SBPV was calculated by standard deviation of mean systolic blood pressure measured in 2006-2007,2008-2009,2010-2011 and 2012-2013,standard deviation represents short time systolic blood pressure which is derived from 24 hour ambulatory blood pressure monitoring.The observation population was divided into three groups according to the third tertiles of the time systolic blood pressure variability:the first point (＜9.09mmHg (1mmHg=0.133kPa)),second point(≥9.09mmHg,and ＜14.29mmHg),and third point(≥14.29mmHg).Multivariate logistic regression analysis was used to analyze the correlation between long time systolic blood pressure variability and short time systolic blood pressure.Results (1) The participants' age were (67.0±5.7) years old(284 women).(2) The 24 hours and daytime SSD were (14.7±4.0)mmHg,(14.7±3.5)mmHg,(15.7±4.4)mmHg(P=0.010) and (14.1±4.4)mmHg,(14.2±3.5)mmHg and(15.4±4.6)mmHg (P＜0.001) according to the tertiles of long time systolic blood pressure variability,respectively,nighttime SSD were (12.0±4.4)mmHg,(11.8±4.8)mmHg and (11.9±4.9)mmHg (P=0.900).(3) Multiple logistic regression analysis showed that the tertiles of long time SSD was the risk factor for increasing daytime SSD＞14.00mmHg(OR=1.51,95％CI:1.03-2.23,P=0.037),but not a risk factor for increasing 24 hours SSD＞14.41mmHg(OR=1.10,95％CI:0.75-1.61,P=0.639) and nighttime SSD＞11.11mmHg(OR=0.98,95％CI:0.67-1.42,P=0.899).Conclusion Increased long time SBPV is a risk factor for increasing daytime SBPV.