Literature DB >> 1626545

Nonlinear modeling of alcohol consumption for analysis of beverage type effects and beverage preference effects.

A W Kimball1, L A Friedman, R D Moore.   

Abstract

In a previous report (Kimball and Friedman, Am J Epidemiol, 1992;135:1279-86), linear models for relating health outcomes to alcohol consumption were proposed for differentiating between beverage type effects and beverage preference effects. The models were applied to data relating serum high density lipoprotein cholesterol to alcohol consumption. In this report, those models are extended to the nonlinear case and are applied to data from the 1982 Maryland Hypertension Survey relating systolic blood pressure to alcohol consumption.

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Year:  1992        PMID: 1626545     DOI: 10.1093/oxfordjournals.aje.a116235

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


  4 in total

1.  Generalized additive models applied to analysis of the relation between amount and type of alcohol and all-cause mortality.

Authors:  Ditte Johansen; Morten Grønbaek; Kim Overvad; Peter Schnohr; Per Kragh Andersen
Journal:  Eur J Epidemiol       Date:  2005       Impact factor: 8.082

2.  Mortality associated with moderate intakes of wine, beer, or spirits.

Authors:  M Grønbaek; A Deis; T I Sørensen; U Becker; P Schnohr; G Jensen
Journal:  BMJ       Date:  1995-05-06

3.  Statistical learning techniques applied to epidemiology: a simulated case-control comparison study with logistic regression.

Authors:  John J Heine; Walker H Land; Kathleen M Egan
Journal:  BMC Bioinformatics       Date:  2011-01-27       Impact factor: 3.169

4.  Drinking pattern and blood pressure among non-hypertensive current drinkers: findings from 1999-2004 National Health and Nutrition Examination Survey.

Authors:  Amy Z Fan; Yan Li; Laurie D Elam-Evans; Lina Balluz
Journal:  Clin Epidemiol       Date:  2013-01-29       Impact factor: 4.790

  4 in total

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