Differences between home blood pressure and strictly measured office blood pressure and their determinants in Japanese men View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2020-08-31

AUTHORS

Sayaka Kadowaki, Takashi Kadowaki, Atsushi Hozawa, Akira Fujiyoshi, Takashi Hisamatsu, Atsushi Satoh, Hisatomi Arima, Sachiko Tanaka, Sayuki Torii, Keiko Kondo, Aya Kadota, Kamal Masaki, Tomonori Okamura, Takayoshi Ohkubo, Katsuyuki Miura, Hirotsugu Ueshima

ABSTRACT

Conventional office blood pressure (OBP) and home blood pressure (HBP) measurements are often inconsistent. The purpose of this research was (1) to test whether strictly measured OBP values with sufficient rest time before measurement (st-OBP) is comparable to HBP at the population level and (2) to ascertain whether there are particular determinants for the difference between HBP and st-OBP at the individual level. Data from a population-based group of 1056 men aged 40–79 years were analyzed. After a five-min rest, st-OBP was measured twice. HBP was measured after a 2-min rest every morning for seven consecutive days. To determine factors related to ΔSBP (HBP minus st-OBP measurements), multiple linear regression analyses and analyses of covariance were performed. While st-OBP and HBP were comparable (136.5 vs. 137.2 mmHg) at the population level, ΔSBP varied with a standard deviation of 13.5 mmHg. Smoking was associated with a larger ΔSBP regardless of antihypertensive usage, and BMI was associated with a larger ΔSBP in participants using antihypertensive drugs. The adjusted mean ΔSBP in the highest BMI tertile category was 4.6 mmHg in participants taking antihypertensive drugs. st-OBP and HBP measurements were comparable at the population level, although the distribution of ΔSBP was considerably broad. Smokers and obese men taking antihypertensive drugs had higher HBP than st-OBP, indicating that their blood pressure levels are at risk of being underestimated. Therefore, this group would benefit from the addition of HBP measurements. More... »

PAGES

80-87

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41440-020-00533-w

DOI

http://dx.doi.org/10.1038/s41440-020-00533-w

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1130456641

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/32863384


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20 schema:description Conventional office blood pressure (OBP) and home blood pressure (HBP) measurements are often inconsistent. The purpose of this research was (1) to test whether strictly measured OBP values with sufficient rest time before measurement (st-OBP) is comparable to HBP at the population level and (2) to ascertain whether there are particular determinants for the difference between HBP and st-OBP at the individual level. Data from a population-based group of 1056 men aged 40–79 years were analyzed. After a five-min rest, st-OBP was measured twice. HBP was measured after a 2-min rest every morning for seven consecutive days. To determine factors related to ΔSBP (HBP minus st-OBP measurements), multiple linear regression analyses and analyses of covariance were performed. While st-OBP and HBP were comparable (136.5 vs. 137.2 mmHg) at the population level, ΔSBP varied with a standard deviation of 13.5 mmHg. Smoking was associated with a larger ΔSBP regardless of antihypertensive usage, and BMI was associated with a larger ΔSBP in participants using antihypertensive drugs. The adjusted mean ΔSBP in the highest BMI tertile category was 4.6 mmHg in participants taking antihypertensive drugs. st-OBP and HBP measurements were comparable at the population level, although the distribution of ΔSBP was considerably broad. Smokers and obese men taking antihypertensive drugs had higher HBP than st-OBP, indicating that their blood pressure levels are at risk of being underestimated. Therefore, this group would benefit from the addition of HBP measurements.
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27 HBP
28 HBP measurements
29 Japanese men
30 OBP values
31 addition
32 analysis
33 analysis of covariance
34 antihypertensive drugs
35 antihypertensive usage
36 blood pressure
37 blood pressure levels
38 blood pressure measurements
39 categories
40 consecutive days
41 conventional office blood pressure
42 covariance
43 data
44 days
45 determinants
46 deviation
47 differences
48 distribution
49 drugs
50 factors
51 group
52 home blood pressure
53 home blood pressure measurement
54 individual level
55 levels
56 linear regression analysis
57 measurements
58 men
59 mmHg
60 morning
61 multiple linear regression analysis
62 obese men
63 office blood pressure
64 participants
65 particular determinants
66 population level
67 population-based group
68 pressure
69 pressure levels
70 pressure measurements
71 purpose
72 regression analysis
73 research
74 rest
75 rest time
76 risk
77 smokers
78 smoking
79 standard deviation
80 sufficient rest time
81 tertile categories
82 time
83 usage
84 values
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86 ΔSBP
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