Literature DB >> 9258543

The inverse relation of average population blood pressure and stroke mortality rates in the seven countries study: a paradox.

A Menotti1, H Blackburn, D Kromhout, A Nissinen, M Karvonen, C Aravanis, A Dontas, F Fidanza, S Giampaoli.   

Abstract

This study attempts to explain the unexpected finding of an inverse population (ecological) relationship between mean systolic blood pressure levels and stroke death rates in 25 years follow-up of the Seven Countries Study, a cross-cultural study of cardiovascular disease. Sixteen cohorts of all men aged 40-59 in seven countries (one cohort in the USA, two in Finland, one in the Netherlands, three in Italy, two in Croatia (former Yugoslavia), three in Serbia (former Yugoslavia), two in Greece, two in Japan) were surveyed from 1958 to 1964. Risk factors and personal characteristics were measured and follow-up for vital status and cause of death was then carried out over 25 years. Analyses were based on comparisons of mean levels of risk factors and death rates within and among the 16 cohorts. Mean entry population levels of systolic blood pressure among the cohorts were strongly and inversely related with their 25-year stroke death rates (R -0.55; CI -0.81 and -0.06; p = 0.0276). Within cohorts in contrast, the individual relation of blood pressure and stroke was strongly positive and significant in 14 of the 16 cohorts. Mean population levels of serum cholesterol were inversely and strongly related to stroke death rates (R -0.79; CI -0.92 and -0.46; p = 0.0003), while the partial correlation coefficient of systolic blood pressure, computed in models including serum cholesterol, became small and not significant (-0.05; CI -0.55 and +0.48; p = 0.8537). Age at death for stroke (average 68.9 +/- 7.1 years) was significantly higher than age at dath from myocardial infarction and sudden death (average 65.8 +/- 7.8 years) suggesting a competition effect between the conditions. Multivariate models including population average systolic blood pressure and serum cholesterol provided no added explanation for the lack of direct and significant relationship of population blood pressure with stroke death rates. They were based on these variables: age at stroke death, age at myocardial infarction death or and sudden death, death rates from myocardial infarction and sudden death, the interaction term of systolic blood pressure with serum cholesterol and the multivariate coefficients for systolic blood pressure from Cox models run in individuals. Similar findings were obtained using diastolic instead of systolic blood pressure and excluding the Japanese cohorts. The paradox of the inverse ecologic relation of population blood pressure and stroke mortality and a direct relation for individual is only partly explained by the cofounding effect of population mean serum cholesterol levels. An effect of low cholesterol levels on excess stroke mortality cannot be excluded. A major limitation of the study was our inability to segregate thrombotic from heamorrhagic strokes.

Entities:  

Mesh:

Year:  1997        PMID: 9258543     DOI: 10.1023/a:1007326624702

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN: 0393-2990            Impact factor:   8.082


  40 in total

1.  Regression of area mortality rates on explanatory variables: what weighting is appropriate?

Authors:  S J Pocock; D G Cook; S A Beresford
Journal:  J R Stat Soc Ser C Appl Stat       Date:  1981       Impact factor: 1.864

Review 2.  Ecological bias, confounding, and effect modification.

Authors:  S Greenland; H Morgenstern
Journal:  Int J Epidemiol       Date:  1989-03       Impact factor: 7.196

3.  Will lowering population levels of serum cholesterol affect total mortality? Expectations from the Honolulu Heart Program.

Authors:  J W Frank; D M Reed; J S Grove; R Benfante
Journal:  J Clin Epidemiol       Date:  1992-04       Impact factor: 6.437

4.  Epidemiological studies related to coronary heart disease: characteristics of men aged 40-59 in seven countries.

Authors:  A Keys; C Aravanis; H W Blackburn; F S Van Buchem; R Buzina; B D Djordjević; A S Dontas; F Fidanza; M J Karvonen; N Kimura; D Lekos; M Monti; V Puddu; H L Taylor
Journal:  Acta Med Scand Suppl       Date:  1966

5.  Diet and serum cholesterol: do zero correlations negate the relationship?

Authors:  D R Jacobs; J T Anderson; H Blackburn
Journal:  Am J Epidemiol       Date:  1979-07       Impact factor: 4.897

6.  Uses of ecologic analysis in epidemiologic research.

Authors:  H Morgenstern
Journal:  Am J Public Health       Date:  1982-12       Impact factor: 9.308

7.  An overview of trials of cholesterol lowering and risk of stroke.

Authors:  P R Hebert; J M Gaziano; C H Hennekens
Journal:  Arch Intern Med       Date:  1995-01-09

8.  Associations of serum total cholesterol, different types of stroke, and stenosis distribution of cerebral arteries. The Akita Pathology Study.

Authors:  M Konishi; H Iso; Y Komachi; M Iida; T Shimamoto; D R Jacobs; A Terao; S Baba; T Sankai; M Ito
Journal:  Stroke       Date:  1993-07       Impact factor: 7.914

9.  The seven countries study: 2,289 deaths in 15 years.

Authors:  A Keys; A Menotti; C Aravanis; H Blackburn; B S Djordevic; R Buzina; A S Dontas; F Fidanza; M J Karvonen; N Kimura
Journal:  Prev Med       Date:  1984-03       Impact factor: 4.018

Review 10.  The relationship between cholesterol and stroke.

Authors:  D R Jacobs
Journal:  Health Rep       Date:  1994       Impact factor: 4.796

View more
  6 in total

1.  Cardiovascular risk factors as determinants of 25-year all-cause mortality in the seven countries study.

Authors:  A Menotti; H Blackburn; D Kromhout; A Nissinen; H Adachi; M Lanti
Journal:  Eur J Epidemiol       Date:  2001       Impact factor: 8.082

2.  Geographic variation in incidence of coronary heart disease in Britain: the contribution of established risk factors.

Authors:  R W Morris; P H Whincup; F C Lampe; M Walker; S G Wannamethee; A G Shaper
Journal:  Heart       Date:  2001-09       Impact factor: 5.994

Review 3.  Lipoprotein (a) and stroke.

Authors:  H J Milionis; A F Winder; D P Mikhailidis
Journal:  J Clin Pathol       Date:  2000-07       Impact factor: 3.411

4.  Risk Assessment of CHD Using Retinal Images with Machine Learning Approaches for People with Cardiometabolic Disorders.

Authors:  Yimin Qu; Jack Jock-Wai Lee; Yuanyuan Zhuo; Shukai Liu; Rebecca L Thomas; David R Owens; Benny Chung-Ying Zee
Journal:  J Clin Med       Date:  2022-05-10       Impact factor: 4.964

5.  Associations among within-litter differences in early mothering received and later emotional behaviors, mothering, and cortical tryptophan hydroxylase-2 expression in female laboratory rats.

Authors:  Christina M Ragan; Kaitlyn M Harding; Joseph S Lonstein
Journal:  Horm Behav       Date:  2015-07-26       Impact factor: 3.587

6.  Population-based Study of Risk Polymorphisms Associated with Vascular Disorders and Dementia.

Authors:  Óscar Teijido; Juan Carlos Carril; Ramón Cacabelos
Journal:  Curr Genomics       Date:  2017-10       Impact factor: 2.236

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.