Literature DB >> 1585965

Do time trends in food supply levels of macronutrients reflect survey estimates of macronutrient intake?

N T Crane1, C J Lewis, E A Yetley.   

Abstract

BACKGROUND: Two types of data may be used to estimate trends in food and nutrient intake by the US population: per capita food supply estimates and survey estimates of individual intake. Because these data vary markedly in measurement goals and methods, we examined whether trends in food supply and survey intake estimates for fat, carbohydrate, and protein are reflective of one another.
METHODS: The data selected for comparison included all available survey estimates of mean intake by the US population (i.e., periodic estimates from 1965 to 1988) and all available per capita food supply estimates from a comparable time period (i.e., annual estimates from 1965 to 1985).
RESULTS: The two types of data generally did not reflect the same trends. Furthermore, expressing macronutrient levels as percentage of calories rather than in grams affected the trend relationships.
CONCLUSIONS: Our findings indicate that caution is needed in the selection and application of available data to estimate trends in macronutrient intake by the US population and in the interpretation of these data with regard to public health research, policies, and programs.

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Year:  1992        PMID: 1585965      PMCID: PMC1694186          DOI: 10.2105/ajph.82.6.862

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  8 in total

1.  CHANGES IN RETAIL MARKET FOOD SUPPLIES IN THE UNITED STATES IN THE LAST SEVENTY YEARS IN RELATION TO THE INCIDENCE OF CORONARY HEART DISEASE, WITH SPECIAL REFERENCE TO DIETARY CARBOHYDRATES AND ESSENTIAL FATTY ACIDS.

Authors:  M A Antar; M A Ohlson; R E Hodges
Journal:  Am J Clin Nutr       Date:  1964-03       Impact factor: 7.045

Review 2.  How accurate is self-reported dietary energy intake?

Authors:  D A Schoeller
Journal:  Nutr Rev       Date:  1990-10       Impact factor: 7.110

3.  Trends in individual consumption of dietary fat in the United States, 1920-1984.

Authors:  A M Stephen; N J Wald
Journal:  Am J Clin Nutr       Date:  1990-09       Impact factor: 7.045

4.  Number of days of food intake records required to estimate individual and group nutrient intakes with defined confidence.

Authors:  P P Basiotis; S O Welsh; F J Cronin; J L Kelsay; W Mertz
Journal:  J Nutr       Date:  1987-09       Impact factor: 4.798

5.  Trends in coronary heart disease mortality and food consumption in the United States between 1909 and 1980.

Authors:  M L Slattery; D E Randall
Journal:  Am J Clin Nutr       Date:  1988-06       Impact factor: 7.045

6.  Change in serum cholesterol associated with changes in the United States civilian diet, 1909-1965.

Authors:  H A Kahn
Journal:  Am J Clin Nutr       Date:  1970-07       Impact factor: 7.045

Review 7.  Coronary heart disease--an epidemic related to diet?

Authors:  A E Harper
Journal:  Am J Clin Nutr       Date:  1983-04       Impact factor: 7.045

8.  Colorectal cancer and consumption of beef and fat.

Authors:  J E Enstrom
Journal:  Br J Cancer       Date:  1975-10       Impact factor: 7.640

  8 in total
  6 in total

1.  Food supply versus household survey data: nutrient consumption trends for Spain, 1958-1988.

Authors:  F Rodríguez-Artalejo; J R Banegas; A Graciani; R Hernández-Vecino; J del Rey-Calero
Journal:  Eur J Epidemiol       Date:  1996-08       Impact factor: 8.082

2.  [Dietary intake of total lipids and saturated fatty acids of the Geneva population: an unexpected development].

Authors:  A Morabia; M Bernstein; A Ross; S Kumanyika; A Sorenson; B L Luong; S Eslami; O R Landis
Journal:  Soz Praventivmed       Date:  1993

Review 3.  The Inadmissibility of What We Eat in America and NHANES Dietary Data in Nutrition and Obesity Research and the Scientific Formulation of National Dietary Guidelines.

Authors:  Edward Archer; Gregory Pavela; Carl J Lavie
Journal:  Mayo Clin Proc       Date:  2015-06-09       Impact factor: 7.616

4.  The Validity of US Nutritional Surveillance: USDA's Loss-Adjusted Food Availability Data Series 1971-2010.

Authors:  Edward Archer; Diana M Thomas; Samantha M McDonald; Gregory Pavela; Carl J Lavie; James O Hill; Steven N Blair
Journal:  Curr Probl Cardiol       Date:  2016-10-20       Impact factor: 5.200

5.  Comparative analysis of nutrition data from national, household, and individual levels: results from a WHO-CINDI collaborative project in Canada, Finland, Poland, and Spain.

Authors:  L Serra-Majem; D MacLean; L Ribas; D Brulé; W Sekula; R Prattala; R Garcia-Closas; A Yngve; M Lalonde; A Petrasovits
Journal:  J Epidemiol Community Health       Date:  2003-01       Impact factor: 3.710

Review 6.  A review of sugar consumption from nationally representative dietary surveys across the world.

Authors:  K J Newens; J Walton
Journal:  J Hum Nutr Diet       Date:  2015-10-10       Impact factor: 3.089

  6 in total

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