Literature DB >> 10591234

A U-shaped association between home systolic blood pressure and four-year mortality in community-dwelling older men.

K Okumiya1, K Matsubayashi, T Wada, M Fujisawa, Y Osaki, Y Doi, N Yasuda, T Ozawa.   

Abstract

BACKGROUND: Several studies in older people have found a U-shaped or J-shaped association of blood pressure with mortality. The increased mortality associated with the lowest levels of blood pressure in older people have been explained by concurrent illnesses and frailty, but previous studies used blood pressure measured on a single occasion. Such a casual value is different from the long-term average of blood pressure. We investigated the relation between the average level of 5-day consecutive home blood pressure and mortality in older people while adjusting for potential confounding factors including morbidity and frailty at baseline.
METHODS: In 1992, 1186 community residents of a rural Japanese town, Kahoku, aged 65 or older, measured their blood pressure in their homes 20 times (four times per day, 5 consecutive days). The mean value of the 20 measurements was used to examine the association between home BP and subsequent 4-year mortality. A proportional hazards model was fitted while adjusting for activities of daily living impairment, medical history, antihypertensive medication, smoking, use of alcohol, and depression.
RESULTS: A total of 134 persons died during the four-year follow-up period. There was no significant evidence that frailty is more prevalent in the lowest or highest systolic BP group than in intermediate groups. A U-shaped association between the average level of home systolic blood pressure and mortality was found in men while adjusting for potential confounding factors, including morbidity and frailty. We also showed the U-shaped curve of the association of systolic BP with all cause and noncardiovascular mortality in the whole population and the linear association of systolic BP with cardiovascular mortality.
CONCLUSIONS: We showed a U-shaped association between the average level of systolic blood pressure measured at home and mortality in older men while adjusting for potential confounding factors including morbidity and frailty. Not only high home systolic BP, but also low home systolic BP, is an independent risk factor for mortality in older men. The mechanisms underlying the association between BP and mortality differ by levels of systolic BP. Cardiovascular deaths tended to be higher in the highest SBP group, and only noncardiovascular deaths were increased in the lowest SBP group. The latter finding suggests that low SBP may be not only an independent risk of mortality but also an indicator of a subclinical noncardiovascular comorbid condition.

Entities:  

Mesh:

Year:  1999        PMID: 10591234     DOI: 10.1111/j.1532-5415.1999.tb01559.x

Source DB:  PubMed          Journal:  J Am Geriatr Soc        ISSN: 0002-8614            Impact factor:   5.562


  26 in total

1.  Fasting glucose and glucose tolerance as potential predictors of neurocognitive function among nondiabetic older adults.

Authors:  Regina Sims Wright; Shellie-Anne T Levy; Leslie I Katzel; William F Rosenberger; Zorayr Manukyan; Keith E Whitfield; Shari R Waldstein
Journal:  J Clin Exp Neuropsychol       Date:  2015-01-06       Impact factor: 2.475

2.  Age trajectories of physiological indices in relation to healthy life course.

Authors:  Konstantin G Arbeev; Svetlana V Ukraintseva; Igor Akushevich; Alexander M Kulminski; Liubov S Arbeeva; Lucy Akushevich; Irina V Culminskaya; Anatoliy I Yashin
Journal:  Mech Ageing Dev       Date:  2011-01-22       Impact factor: 5.432

3.  "Predicting" parental longevity from offspring endophenotypes: data from the Long Life Family Study (LLFS).

Authors:  Anatoli I Yashin; Konstantin G Arbeev; Alexander Kulminski; Ingrid Borecki; Kaare Christensen; Michael Barmada; Evan Hadley; Winifred Rossi; Joseph H Lee; Rong Cheng; Irma T Elo
Journal:  Mech Ageing Dev       Date:  2010-02-23       Impact factor: 5.432

Review 4.  Office management of elderly hypertensive patients. Focusing on cognition and function.

Authors:  K Rockwood; S H Freter
Journal:  Can Fam Physician       Date:  2001-12       Impact factor: 3.275

5.  How Genes Modulate Patterns of Aging-Related Changes on the Way to 100: Biodemographic Models and Methods in Genetic Analyses of Longitudinal Data.

Authors:  Anatoliy I Yashin; Konstantin G Arbeev; Deqing Wu; Liubov Arbeeva; Alexander Kulminski; Irina Kulminskaya; Igor Akushevich; Svetlana V Ukraintseva
Journal:  N Am Actuar J       Date:  2016-06-22

6.  The quadratic hazard model for analyzing longitudinal data on aging, health, and the life span.

Authors:  A I Yashin; K G Arbeev; I Akushevich; A Kulminski; S V Ukraintseva; E Stallard; K C Land
Journal:  Phys Life Rev       Date:  2012-05-17       Impact factor: 11.025

Review 7.  How the effects of aging and stresses of life are integrated in mortality rates: insights for genetic studies of human health and longevity.

Authors:  Anatoliy I Yashin; Konstantin G Arbeev; Liubov S Arbeeva; Deqing Wu; Igor Akushevich; Mikhail Kovtun; Arseniy Yashkin; Alexander Kulminski; Irina Culminskaya; Eric Stallard; Miaozhu Li; Svetlana V Ukraintseva
Journal:  Biogerontology       Date:  2015-08-18       Impact factor: 4.277

8.  Genetic model for longitudinal studies of aging, health, and longevity and its potential application to incomplete data.

Authors:  Konstantin G Arbeev; Igor Akushevich; Alexander M Kulminski; Liubov S Arbeeva; Lucy Akushevich; Svetlana V Ukraintseva; Irina V Culminskaya; Anatoli I Yashin
Journal:  J Theor Biol       Date:  2009-02-04       Impact factor: 2.691

Review 9.  Dynamics of biomarkers in relation to aging and mortality.

Authors:  Konstantin G Arbeev; Svetlana V Ukraintseva; Anatoliy I Yashin
Journal:  Mech Ageing Dev       Date:  2016-04-29       Impact factor: 5.432

Review 10.  Blood pressure targets in the treatment of high blood pressure: a reappraisal of the J-shaped phenomenon.

Authors:  F D Fuchs; S C Fuchs
Journal:  J Hum Hypertens       Date:  2013-08-22       Impact factor: 3.012

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.