Literature DB >> 7142608

Characterizing food usage by demographic variables.

F J Cronin, S M Krebs-Smith, B W Wyse, L Light.   

Abstract

On the basis of an analysis of three-day food records, food comsumption by major segments of the U.S. population was examined for 65 food groups and subgroups. This study indicates that demographic factors, particularly age, race, and region, can affect both the percentage of persons using certain foods and the mean frequency of their use. Both the similarities and the differences on these parameters are of interest when food usage is examined by demographic variables.

Entities:  

Mesh:

Year:  1982        PMID: 7142608

Source DB:  PubMed          Journal:  J Am Diet Assoc        ISSN: 0002-8223


  13 in total

1.  Clustering of dietary variables and other lifestyle factors (Dutch Nutritional Surveillance System).

Authors:  K F Hulshof; M Wedel; M R Löwik; F J Kok; C Kistemaker; R J Hermus; F ten Hoor; T Ockhuizen
Journal:  J Epidemiol Community Health       Date:  1992-08       Impact factor: 3.710

2.  Milk consumption in older Americans.

Authors:  S M Elbon; M A Johnson; J G Fischer
Journal:  Am J Public Health       Date:  1998-08       Impact factor: 9.308

3.  Socioeconomic status and weight control practices among 20- to 45-year-old women.

Authors:  R W Jeffery; S A French
Journal:  Am J Public Health       Date:  1996-07       Impact factor: 9.308

4.  Food choices and the cancer guidelines.

Authors:  B H Patterson; G Block
Journal:  Am J Public Health       Date:  1988-03       Impact factor: 9.308

5.  Toward a lower-sodium lifestyle in black communities.

Authors:  S Kumanyika; M Bonner
Journal:  J Natl Med Assoc       Date:  1985-12       Impact factor: 1.798

6.  Characterizing nutrient intakes of children by sociodemographic factors.

Authors:  R K Johnson; H Guthrie; H Smiciklas-Wright; M Q Wang
Journal:  Public Health Rep       Date:  1994 May-Jun       Impact factor: 2.792

7.  Did the 2009 American Recovery and Reinvestment Act affect dietary intake of low-income individuals?

Authors:  Geetha Waehrer; Partha Deb; Sandra L Decker
Journal:  Econ Hum Biol       Date:  2015-08-29       Impact factor: 2.184

8.  Exposure, susceptibility, and breast cancer risk: a hypothesis regarding exogenous carcinogens, breast tissue development, and social gradients, including black/white differences, in breast cancer incidence.

Authors:  N Krieger
Journal:  Breast Cancer Res Treat       Date:  1989-07       Impact factor: 4.872

9.  Antioxidant vitamins in the diet: relationships with other personal characteristics in Finland.

Authors:  R Järvinen; P Knekt; R Seppänen; A Reunanen; M Heliövaara; J Maatela; A Aromaa
Journal:  J Epidemiol Community Health       Date:  1994-12       Impact factor: 3.710

10.  Socioeconomic status and electrolyte intake in black adults: the Pitt County Study.

Authors:  A M Gerber; S A James; A S Ammerman; N L Keenan; J M Garrett; D S Strogatz; P S Haines
Journal:  Am J Public Health       Date:  1991-12       Impact factor: 9.308

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