Literature DB >> 6606975

Some difficulties inherent in the interpretation of dietary data from free-living populations.

T Gordon, M Fisher, B M Rifkind.   

Abstract

Isocaloric adjustments of diet in metabolic experiments tend to induce negative correlations. In free-living populations, on the other hand, the absolute amounts of major nutrients consumed are positively correlated with total calorie intake and with each other. In general, these positive correlations are fairly strong. Relative amounts of nutrients consumed tend to be weakly and negatively correlated with total calories and each other. Because of these intercorrelations conclusions drawn from cross-sectional population data are ambiguous, at best, and misleading, at worst. Beyond that, the correlation between the intakes of specific nutrients with total calorie intake introduces the possibility that dietary variables may to some degree be surrogates of some nondietary variables; in particular, of physical activity. Unless the questions being asked in population studies are precisely formulated, with a careful consideration of the biological issues and the statistical limitations, biased conclusions are likely to result.

Mesh:

Year:  1984        PMID: 6606975     DOI: 10.1093/ajcn/39.1.152

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  4 in total

1.  Calories, fat and cholesterol: intake patterns in the US population by race, sex and age.

Authors:  G Block; W F Rosenberger; B H Patterson
Journal:  Am J Public Health       Date:  1988-09       Impact factor: 9.308

2.  Principal component analysis of dietary and lifestyle patterns in relation to risk of subtypes of esophageal and gastric cancer.

Authors:  Stephanie A Navarro Silvera; Susan T Mayne; Harvey A Risch; Marilie D Gammon; Thomas Vaughan; Wong-Ho Chow; Joel A Dubin; Robert Dubrow; Janet Schoenberg; Janet L Stanford; A Brian West; Heidrun Rotterdam; William J Blot
Journal:  Ann Epidemiol       Date:  2011-03-23       Impact factor: 3.797

3.  Fiber Patterns in Young Adults Living in Different Environments (USA, Spain, and Tunisia). Anthropometric and Lifestyle Characteristics.

Authors:  María José García-Meseguer; Amalia Delicado-Soria; Ramón Serrano-Urrea
Journal:  Nutrients       Date:  2017-09-18       Impact factor: 5.717

4.  Diet and lifestyle factors and risk of subtypes of esophageal and gastric cancers: classification tree analysis.

Authors:  Stephanie A Navarro Silvera; Susan T Mayne; Marilie D Gammon; Thomas L Vaughan; Wong-Ho Chow; Joel A Dubin; Robert Dubrow; Janet L Stanford; A Brian West; Heidrun Rotterdam; William J Blot; Harvey A Risch
Journal:  Ann Epidemiol       Date:  2013-10-18       Impact factor: 6.996

  4 in total

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