Literature DB >> 12484502

Impact of multiple risk factor clustering on the elevation of blood pressure.

Masahiko Tozawa1, Kunitoshi Iseki, Chiho Iseki, Saori Oshiro, Yasushi Higashiuesato, Yoshiharu Ikemiya, Shuichi Takishita.   

Abstract

A family history of hypertension, obesity, diabetes mellitus, hypercholesterolemia, and hypertriglyceridemia have all been associated with risk of hypertension. We retrospectively conducted a longitudinal study in a large screened cohort to explore the effect of the clustering of these five risk factors on the elevation of blood pressure (BP) in normotensive subjects at baseline. The study group comprised 4,857 normotensive subjects not treated with antihypertensive drugs (systolic BP < 140 mmHg, diastolic BP < 90 mmHg, 3,111 men and 1,746 women) who were followed up from 1997 to 1999. By 1999, 360 subjects had BP at the hypertensive level (systolic BP > or = 140 mmHg or diastolic BP > or = 90 mmHg). The incidence of subjects whose BP became hypertensive was 37 per 1,000 person-years. After adjusting for age, sex, systolic BP and other clinical factors, multiple logistic analysis showed that the relative risk of BP elevation was 1.49 (95% Cl: 1.09 to 2.05) in subjects with one risk factor; 1.65 (95% Cl: 1.15 to 2.27) in those with two risk factors; 1.42 (95% Cl: 0.91 to 2.32) in those with three; and 4.86 (95% Cl: 2.58 to 9.16) in those with four or more when compared with subjects with no risk factors. Multiple regression analysis showed that the number of risk factors was positively correlated with an increase in BP from 1997 to 1999; the regression coefficient was 0.51 (p = 0.001) for increase in systolic BP, and 0.31 (p = 0.008) for increase in diastolic BP after adjusting for age and sex. In conclusion, clustering of risk factors significantly predicted the development of hypertension.

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Year:  2002        PMID: 12484502     DOI: 10.1291/hypres.25.811

Source DB:  PubMed          Journal:  Hypertens Res        ISSN: 0916-9636            Impact factor:   3.872


  2 in total

1.  A literature-based assessment of concept pairs as a measure of semantic relatedness.

Authors:  T Elizabeth Workman; Graciela Rosemblat; Marcelo Fiszman; Thomas C Rindflesch
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

2.  Impact of individual components and their combinations within a family history of hypertension on the incidence of hypertension: Toranomon hospital health management center study 22.

Authors:  Risa Igarashi; Kazuya Fujihara; Yoriko Heianza; Masahiro Ishizawa; Satoru Kodama; Kazumi Saito; Shigeko Hara; Osamu Hanyu; Ritsuko Honda; Hiroshi Tsuji; Yasuji Arase; Hirohito Sone
Journal:  Medicine (Baltimore)       Date:  2016-09       Impact factor: 1.889

  2 in total

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