Literature DB >> 2307551

Beyond our means: patterns of variability of physiological traits.

D U Himmelstein1, R Levins, S Woolhandler.   

Abstract

Epidemiologists usually employ measures of variability of physiological traits such as blood pressure and cholesterol only to determine confidence intervals or statistical significance. For evolutionary biologists population variability per se has proven of interest. This article explores the applicability of this perspective to the analysis of human physiology, using data from the Framingham Heart Disease Study and the National Health and Nutrition Examination Surveys. The nonrandom patterns of variability observed suggest that examination of the degree and pattern of heterogeneity within a population may provide information not evident from the analysis of mean values.

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Year:  1990        PMID: 2307551     DOI: 10.2190/BKDL-N7DB-BDW8-DPYY

Source DB:  PubMed          Journal:  Int J Health Serv        ISSN: 0020-7314            Impact factor:   1.663


  5 in total

1.  The Relative Contributions of Socioeconomic and Genetic Factors to Variations in Body Mass Index Among Young Adults.

Authors:  Rockli Kim; Adam M Lippert; Robbee Wedow; Marcia P Jimenez; S V Subramanian
Journal:  Am J Epidemiol       Date:  2020-11-02       Impact factor: 4.897

2.  Patterning of individual heterogeneity in body mass index: evidence from 57 low- and middle-income countries.

Authors:  Rockli Kim; Ichiro Kawachi; Brent Andrew Coull; Sankaran Venkata Subramanian
Journal:  Eur J Epidemiol       Date:  2018-01-22       Impact factor: 8.082

3.  Blood feeding patterns of mosquitoes: random or structured?

Authors:  Luis F Chaves; Laura C Harrington; Carolyn L Keogh; Andy M Nguyen; Uriel D Kitron
Journal:  Front Zool       Date:  2010-01-21       Impact factor: 3.172

4.  Phenotypic decanalization driven by social determinants could explain variance patterns for glycemia in adult urban Argentinian population.

Authors:  María Alejandra Petino Zappala; Guillermo Folguera; Santiago Benitez-Vieyra
Journal:  Sci Rep       Date:  2022-06-27       Impact factor: 4.996

5.  Lifetime socioeconomic position and twins' health: an analysis of 308 pairs of United States women twins.

Authors:  Nancy Krieger; Jarvis T Chen; Brent A Coull; Joe V Selby
Journal:  PLoS Med       Date:  2005-07-26       Impact factor: 11.069

  5 in total

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