Literature DB >> 15191934

Population effects on individual systolic blood pressure: a multilevel analysis of the World Health Organization MONICA Project.

Juan Merlo1, Kjell Asplund, John Lynch, Lennart Råstam, Annette Dobson.   

Abstract

Individuals from the same population share a number of contextual circumstances that may condition a common level of blood pressure over and above individual characteristics. Understanding this population effect is relevant for both etiologic research and prevention strategies. Using multilevel regression analyses, the authors quantified the extent to which individual differences in systolic blood pressure (SBP) could be attributed to the population level. They also investigated possible cross-level interactions between the population in which a person lived and pharmacological (antihypertensive medication) and nonpharmacological (body mass index) effects on individual SBP. They analyzed data on 23,796 men and 24,986 women aged 35-64 years from 39 worldwide Monitoring of Trends and Determinants in Cardiovascular Disease (MONICA) study populations participating in the final survey of this World Health Organization project (1989-1997). SBP was positively associated with low educational achievement, high body mass index, and use of antihypertensive medication and, for women, was negatively associated with smoking. About 7-8% of all SBP differences between subjects were attributed to the population level. However, this population effect was particularly strong (i.e., 20%) in antihypertensive medication users and overweight women. This empirical evidence of a population effect on individual SBP emphasizes the importance of developing population-wide strategies to reduce individual risk of hypertension.

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Year:  2004        PMID: 15191934     DOI: 10.1093/aje/kwh160

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  31 in total

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Review 5.  A brief conceptual tutorial on multilevel analysis in social epidemiology: interpreting neighbourhood differences and the effect of neighbourhood characteristics on individual health.

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Review 6.  A brief conceptual tutorial of multilevel analysis in social epidemiology: linking the statistical concept of clustering to the idea of contextual phenomenon.

Authors:  Juan Merlo; Basile Chaix; Min Yang; John Lynch; Lennart Råstam
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Journal:  J Epidemiol Community Health       Date:  2005-06       Impact factor: 3.710

8.  A brief conceptual tutorial on multilevel analysis in social epidemiology: investigating contextual phenomena in different groups of people.

Authors:  Juan Merlo; Min Yang; Basile Chaix; John Lynch; Lennart Råstam
Journal:  J Epidemiol Community Health       Date:  2005-09       Impact factor: 3.710

9.  Optimal cutoff values for overweight: using body mass index to predict incidence of hypertension in 18- to 65-year-old Chinese adults.

Authors:  T Tuan Nguyen; Linda S Adair; Ka He; Barry M Popkin
Journal:  J Nutr       Date:  2008-07       Impact factor: 4.798

10.  The association between body mass index and hypertension is different between East and Southeast Asians.

Authors:  Tuan T Nguyen; Linda S Adair; Chirayath M Suchindran; Ka He; Barry M Popkin
Journal:  Am J Clin Nutr       Date:  2009-04-15       Impact factor: 7.045

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