» Articles » PMID: 28993807

Examining Plausibility of Self-Reported Energy Intake Data: Considerations for Method Selection

Overview
Journal Front Nutr
Date 2017 Oct 11
PMID 28993807
Citations 82
Authors
Affiliations
Soon will be listed here.
Abstract

Self-reported dietary intake data contain valuable information and have long been used in the development of nutrition programs and policy. Some degree of measurement error is always present in such data. Biological plausibility, assessed by determining whether self-reported energy intake (rEI) reflects physiological status and physical activity level, must be examined and accounted for before drawing conclusions about intake. Methods that may be used to account for plausibility of rEI include crude methods such as excluding participants reporting EIs at the extremes of a range of intake and individualized methods such as statistical adjustment and applying cutoffs that account for the errors associated with within-participant variation in EI and total energy expenditure (TEE). These approaches allow researchers to determine how accounting for under- and overreporting affects study results and to appropriately address misreporting in drawing conclusions with data collected and in interpreting reported research. In selecting a procedure to assess and account for plausibility of intake, there are a number of key considerations, such as resources available, the dietary-report instrument, as well as the advantages and disadvantages of each method. While additional studies are warranted to recommend one procedure as superior to another, researchers should apply one of the available methods to address the issue of implausible rEI. If no method is applied, then at minimum, mean TEE or rEI/TEE should be reported to allow readers to ascertain the degree of misreporting at a gross level and better interpret the data and results provided.

Citing Articles

Relationship of tea consumption with hepatic steatosis and fibrosis: findings from a longitudinal RaNCD cohort.

Qaisar S, Moludi J, Shahnazi N, Soleimani D, Pasdar Y BMC Nutr. 2025; 11(1):47.

PMID: 40033335 PMC: 11877829. DOI: 10.1186/s40795-025-01032-2.


Diet, lifestyle and telomere length: using Copula Graphical Models on NHANES data.

Tedaldi A, Behrouzi P, Grootswagers P Aging (Albany NY). 2025; 17(2):329-356.

PMID: 39883078 PMC: 11892917. DOI: 10.18632/aging.206194.


Relative Validity of the Groningen IBD Nutritional Questionnaire (GINQ-FFQ): A Food Frequency Questionnaire Designed to Assess Nutritional Intake in Patients with Inflammatory Bowel Disease.

Barth I, Stevens C, Peters V, Lucassen D, Feskens E, Dijkstra G Nutrients. 2025; 17(2.

PMID: 39861369 PMC: 11768067. DOI: 10.3390/nu17020239.


The associations between diet-induced inflammation and the improvement or worsening of hepatic steatosis and fibrosis: a longitudinal analysis of RaNCD cohort study.

Sedighi M, Saber A, Bagheri A, Hazratian S, Pasdar Y, Najafi F Nutr Metab (Lond). 2025; 22(1):5.

PMID: 39833863 PMC: 11749311. DOI: 10.1186/s12986-025-00897-1.


Predictive equation derived from 6,497 doubly labelled water measurements enables the detection of erroneous self-reported energy intake.

Bajunaid R, Niu C, Hambly C, Liu Z, Yamada Y, Aleman-Mateo H Nat Food. 2025; 6(1):58-71.

PMID: 39806218 PMC: 11772230. DOI: 10.1038/s43016-024-01089-5.


References
1.
Schoeller D, Hnilicka J . Reliability of the doubly labeled water method for the measurement of total daily energy expenditure in free-living subjects. J Nutr. 1996; 126(1):348S-354S. View

2.
Rhee J, Sampson L, Cho E, Hughes M, Hu F, Willett W . Comparison of methods to account for implausible reporting of energy intake in epidemiologic studies. Am J Epidemiol. 2015; 181(4):225-33. PMC: 4325679. DOI: 10.1093/aje/kwu308. View

3.
Salmeron J, Hu F, Manson J, Stampfer M, Colditz G, Rimm E . Dietary fat intake and risk of type 2 diabetes in women. Am J Clin Nutr. 2001; 73(6):1019-26. DOI: 10.1093/ajcn/73.6.1019. View

4.
Subar A, Freedman L, Tooze J, Kirkpatrick S, Boushey C, Neuhouser M . Addressing Current Criticism Regarding the Value of Self-Report Dietary Data. J Nutr. 2015; 145(12):2639-45. PMC: 4656907. DOI: 10.3945/jn.115.219634. View

5.
Subar A, Kipnis V, Troiano R, Midthune D, Schoeller D, Bingham S . Using intake biomarkers to evaluate the extent of dietary misreporting in a large sample of adults: the OPEN study. Am J Epidemiol. 2003; 158(1):1-13. DOI: 10.1093/aje/kwg092. View