Literature DB >> 9505157

Is macronutrient composition of dietary intake data affected by underreporting? Results from the EPIC-Potsdam Study. European Prospective Investigation into Cancer and Nutrition.

S Voss1, A Kroke, K Klipstein-Grobusch, H Boeing.   

Abstract

OBJECTIVE: To investigate whether subjects with low reported relative energy intake differ from those with higher relative energy intake according to characteristics such as obesity, physical activity, and macronutrient composition of the diet.
DESIGN: Cross-sectional data from a cohort study employing a semi-quantitative food frequency questionnaire (SFFQ). To determine energy intake relative BMR the ratio of reported energy intake (EI) to BMR was used and categorized by quintiles.
SETTING: East German (Potsdam) cohort of the EPIC study (European Prospective Investigation into Cancer and Nutrition)
SUBJECTS: 2862 women and 2356 men taking part in the EPIC-Potsdam study from January 1st to December 31st 1995.
RESULTS: A significant declining trend could be observed for BMI, percentage of body fat, and body weight from the lower to the highest quintile of EI/BMR. BMR was slightly decreasing, whereas physical activity was slightly increasing with quintiles of EI/BMR. Absolute macronutrient intake was directly related to EI/BMR. Percent macronutrient intake indicated lower fat intake, and higher carbohydrate and protein intake in low energy reporters. Energy adjusted macronutrient intake by the residual method showed no dependencies on EI/BMR.
CONCLUSIONS: Underestimation of energy intake is related to obesity and affects the relation of macronutrients in the reported diet. This implies, that the assumption of adequate ranking of subjects by a SFFQ cannot be maintained. Energy adjusted intake values according to the residual method should be employed in diet-disease risk analysis since they are found to be independent of the methodological influence of underreporting.

Entities:  

Mesh:

Year:  1998        PMID: 9505157     DOI: 10.1038/sj.ejcn.1600525

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


  21 in total

1.  Nutritional epidemiology data should be analyzed by nutritional epidemiologists.

Authors:  A C Frazier-Wood
Journal:  Int J Obes (Lond)       Date:  2015-04-30       Impact factor: 5.095

2.  Shortening the retention interval of 24-hour dietary recalls increases fourth-grade children's accuracy for reporting energy and macronutrient intake at school meals.

Authors:  Suzanne Domel Baxter; Caroline H Guinn; Julie A Royer; James W Hardin; Albert F Smith
Journal:  J Am Diet Assoc       Date:  2010-08

3.  Misreporting of dietary intake affects estimated nutrient intakes in low-income Spanish-speaking women.

Authors:  Jinan C Banna; Marie K Fialkowski; Marilyn S Townsend
Journal:  J Acad Nutr Diet       Date:  2014-08-12       Impact factor: 4.910

4.  The problem of accuracy in dietary surveys. Analysis of the over 65 UK National Diet and Nutrition Survey.

Authors:  A Cook; J Pryer; P Shetty
Journal:  J Epidemiol Community Health       Date:  2000-08       Impact factor: 3.710

5.  Body mass index, sex, interview protocol, and children's accuracy for reporting kilocalories observed eaten at school meals.

Authors:  Suzanne Domel Baxter; Albert F Smith; Mark S Litaker; Caroline H Guinn; Michele D Nichols; Patricia H Miller; Katherine Kipp
Journal:  J Am Diet Assoc       Date:  2006-10

6.  Energy balance and breast cancer risk.

Authors:  Alecia Malin; Charles E Matthews; Xiao-Ou Shu; Hui Cai; Qi Dai; Fan Jin; Yu-Tang Gao; Wei Zheng
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2005-06       Impact factor: 4.254

7.  Underreporting of dietary intake by body mass index in premenopausal women participating in the Healthy Women Study.

Authors:  Hyun Ah Park; Jung Sun Lee; Lewis H Kuller
Journal:  Nutr Res Pract       Date:  2007-09-30       Impact factor: 1.926

8.  A small-changes approach reduces energy intake in free-living humans.

Authors:  Nanette Stroebele; John M de Castro; Jennifer Stuht; Vicki Catenacci; Holly R Wyatt; James O Hill
Journal:  J Am Coll Nutr       Date:  2009-02       Impact factor: 3.169

9.  Diet during early pregnancy and development of gestational diabetes.

Authors:  Jenny S Radesky; Emily Oken; Sheryl L Rifas-Shiman; Ken P Kleinman; Janet W Rich-Edwards; Matthew W Gillman
Journal:  Paediatr Perinat Epidemiol       Date:  2008-01       Impact factor: 3.980

10.  Offspring consume a more obesogenic diet than mothers in response to changing socioeconomic status and urbanization in Cebu, Philippines.

Authors:  Anna Kelles; Linda Adair
Journal:  Int J Behav Nutr Phys Act       Date:  2009-07-27       Impact factor: 6.457

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.