Factors Associated with Blood Pressure Variability Based on Ambulatory Blood Pressure Monitoring in Subjects with Hypertension in China

Background/Aims: We examined the factors associated with blood pressure variability in a multi-ethnicity prospective study in China to gain more evidence to guide the prevention and management of hypertension through risk factor intervention. Methods: A total of 318 consecutive adult subjects aged 2...

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Main Authors: Wei Li, YanXia Yu, Dehong Liang, En-Zhi Jia
Format: Article
Language:English
Published: Karger Publishers 2017-05-01
Series:Kidney & Blood Pressure Research
Subjects:
Online Access:http://www.karger.com/Article/FullText/477424
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author Wei Li
YanXia Yu
Dehong Liang
En-Zhi Jia
author_facet Wei Li
YanXia Yu
Dehong Liang
En-Zhi Jia
author_sort Wei Li
collection DOAJ
description Background/Aims: We examined the factors associated with blood pressure variability in a multi-ethnicity prospective study in China to gain more evidence to guide the prevention and management of hypertension through risk factor intervention. Methods: A total of 318 consecutive adult subjects aged 29-94 years with suspected or known hypertension were enrolled in this study. Blood pressure variability measurements were based on ambulatory blood pressure monitoring. To measure short-term reading-to-reading blood pressure variability in this study, we used the standard deviation(SD) of the blood pressure to estimate the blood pressure variability. Results: The SDs of the blood pressure in this study ranged from 5.425 to 32.25, with a median of 10.81 (quartile range, 8.90–12.46). No significant difference regarding the level distribution of blood pressure variability was found across the various ethnicities. Spearman correlation analyses indicated that the SD of blood pressure was positively correlated with DSBP (r=0.302, p=<0.001), NSBP (r=0.383, p=<0.001), NDBP (r=0.230, p=<0.001), and FBG (r=0.129, p=0.023) and was negatively correlated with triglyceride (r=-0.289, p=<0.001), CR (r=-0.242, p=<0.001), HDL-C (r=-0.230, p=<0.001), LDL-C (r=-0.186, p=0.001), and apolipoprotein B levels (r=-0.157, p=0.006). Multiple linear regression analysis indicated that triglycerides (β=-0.217, p=<0.001), NSBP (β=0.174, p=0.003), FBG (β=0.128, p=0.024), DDBP (β=-0.128, p=0.022), and apolipoprotein A (β=-0.116, p=0.036) were significantly and independently associated with the blood pressure variability. Conclusions: In this study, blood pressure variability was significantly associated with not only blood pressure levels but also patient demographic, clinical and biochemical characteristics.
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spelling doaj.art-ce0837645c854df89689172fa0890cf42022-12-21T18:52:08ZengKarger PublishersKidney & Blood Pressure Research1420-40961423-01432017-05-0142226727510.1159/000477424477424Factors Associated with Blood Pressure Variability Based on Ambulatory Blood Pressure Monitoring in Subjects with Hypertension in ChinaWei LiYanXia YuDehong LiangEn-Zhi JiaBackground/Aims: We examined the factors associated with blood pressure variability in a multi-ethnicity prospective study in China to gain more evidence to guide the prevention and management of hypertension through risk factor intervention. Methods: A total of 318 consecutive adult subjects aged 29-94 years with suspected or known hypertension were enrolled in this study. Blood pressure variability measurements were based on ambulatory blood pressure monitoring. To measure short-term reading-to-reading blood pressure variability in this study, we used the standard deviation(SD) of the blood pressure to estimate the blood pressure variability. Results: The SDs of the blood pressure in this study ranged from 5.425 to 32.25, with a median of 10.81 (quartile range, 8.90–12.46). No significant difference regarding the level distribution of blood pressure variability was found across the various ethnicities. Spearman correlation analyses indicated that the SD of blood pressure was positively correlated with DSBP (r=0.302, p=<0.001), NSBP (r=0.383, p=<0.001), NDBP (r=0.230, p=<0.001), and FBG (r=0.129, p=0.023) and was negatively correlated with triglyceride (r=-0.289, p=<0.001), CR (r=-0.242, p=<0.001), HDL-C (r=-0.230, p=<0.001), LDL-C (r=-0.186, p=0.001), and apolipoprotein B levels (r=-0.157, p=0.006). Multiple linear regression analysis indicated that triglycerides (β=-0.217, p=<0.001), NSBP (β=0.174, p=0.003), FBG (β=0.128, p=0.024), DDBP (β=-0.128, p=0.022), and apolipoprotein A (β=-0.116, p=0.036) were significantly and independently associated with the blood pressure variability. Conclusions: In this study, blood pressure variability was significantly associated with not only blood pressure levels but also patient demographic, clinical and biochemical characteristics.http://www.karger.com/Article/FullText/477424HypertensionBlood pressure variabilityBiochemical characteristics
spellingShingle Wei Li
YanXia Yu
Dehong Liang
En-Zhi Jia
Factors Associated with Blood Pressure Variability Based on Ambulatory Blood Pressure Monitoring in Subjects with Hypertension in China
Kidney & Blood Pressure Research
Hypertension
Blood pressure variability
Biochemical characteristics
title Factors Associated with Blood Pressure Variability Based on Ambulatory Blood Pressure Monitoring in Subjects with Hypertension in China
title_full Factors Associated with Blood Pressure Variability Based on Ambulatory Blood Pressure Monitoring in Subjects with Hypertension in China
title_fullStr Factors Associated with Blood Pressure Variability Based on Ambulatory Blood Pressure Monitoring in Subjects with Hypertension in China
title_full_unstemmed Factors Associated with Blood Pressure Variability Based on Ambulatory Blood Pressure Monitoring in Subjects with Hypertension in China
title_short Factors Associated with Blood Pressure Variability Based on Ambulatory Blood Pressure Monitoring in Subjects with Hypertension in China
title_sort factors associated with blood pressure variability based on ambulatory blood pressure monitoring in subjects with hypertension in china
topic Hypertension
Blood pressure variability
Biochemical characteristics
url http://www.karger.com/Article/FullText/477424
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