Literature DB >> 7639880

Exposure assessment error and its handling in nutritional epidemiology.

L Kohlmeier1, B Bellach.   

Abstract

Exposure assessment is the weakest element in nutritional epidemiologic studies. In the absence of an adequate arsenal of biomarkers of intake in the United States, food frequency questionnaires are widely used to assess habitual frequency of consumption of foods. These tools need to be designed for the population under study, based on prior information on the eating behavior of the population. The questions to be addressed to insure appropriate application of these tools are presented. The influence of various sources and types of measurement error on various scientific hypotheses is addressed. In assessment of nutrient adequacy, information on intra- to interindividual variation of the nutrient or substance of interest is essential. Risk assessment requires examination of sources and extent of bias and differential and nondifferential measurement error within the study. The theory required for error correction is well developed, but rarely carried out because of lack of software and lack of information needed to calibrate the measures.

Mesh:

Year:  1995        PMID: 7639880     DOI: 10.1146/annurev.pu.16.050195.000355

Source DB:  PubMed          Journal:  Annu Rev Public Health        ISSN: 0163-7525            Impact factor:   21.981


  7 in total

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Authors:  Yumie Takata; Yong-Bing Xiang; Gong Yang; Honglan Li; Jing Gao; Hui Cai; Yu-Tang Gao; Wei Zheng; Xiao-Ou Shu
Journal:  Nutr Cancer       Date:  2013       Impact factor: 2.900

2.  Study protocol: the empirical investigation of methods to correct for measurement error in biobanks with dietary assessment.

Authors:  Derrick A Bennett; Julian Little; Lindsey F Masson; Cosetta Minelli
Journal:  BMC Med Res Methodol       Date:  2011-10-05       Impact factor: 4.615

3.  Analysis of dietary intake of selected metals in the NHEXAS-Maryland investigation.

Authors:  P B Ryan; K A Scanlon; D L MacIntosh
Journal:  Environ Health Perspect       Date:  2001-02       Impact factor: 9.031

Review 4.  Dietary modifiers of carcinogenesis.

Authors:  L Kohlmeier; N Simonsen; K Mottus
Journal:  Environ Health Perspect       Date:  1995-11       Impact factor: 9.031

5.  Transformations of summary statistics as input in meta-analysis for linear dose-response models on a logarithmic scale: a methodology developed within EURRECA.

Authors:  Olga W Souverein; Carla Dullemeijer; Pieter van't Veer; Hilko van der Voet
Journal:  BMC Med Res Methodol       Date:  2012-04-25       Impact factor: 4.615

6.  Diet and colorectal cancer in UK Biobank: a prospective study.

Authors:  Kathryn E Bradbury; Neil Murphy; Timothy J Key
Journal:  Int J Epidemiol       Date:  2020-02-01       Impact factor: 7.196

7.  Inflammation but not dietary macronutrients insufficiency associated with the malnutrition-inflammation score in hemodialysis population.

Authors:  Jie Chen; Hongquan Peng; Long Xiao; Kun Zhang; Zhimin Yuan; Jianping Chen; Zhiyu Wang; Jingfeng Wang; Hui Huang
Journal:  PLoS One       Date:  2013-12-11       Impact factor: 3.240

  7 in total

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