Critical evaluation of energy intake using the Goldberg cut-off for energy intake:basal metabolic rate. A practical guide to its calculation, use and limitations
By A. Black. International Journal of Obesity, 2000
1,508 citations recorded by the source corpus.
Subfields: Physiology, Public Health, Environmental and Occupational Health
View Paper: https://www.semanticscholar.org/paper/c7fe2253a5ada46e36b066490adca6cd26b61443
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Citations in the corpus
- Misreporting of energy and micronutrient intake estimated by food records and 24 hour recalls, control and adjustment methods in practice (2009, background): “A questionnaire that elicits the pattern of the general lifestyle, occupational activity and leisure activity is required((51)).”
- Addressing Current Criticism Regarding the Value of Self-Report Dietary Data. (2015, background): “Black (58) later cautioned that ‘‘cut-off 1 should be abandoned’’ and recommended the use of cutoff 2 at the individual level for evaluating plausible reporting because it accounts for intraindividual variation in EI and energy”
- Greenhouse gas emissions of self-selected individual diets in France: Changing the diet structure or consuming less? (2012, methodology): “Black's equations (Black, 2000) were used to calculate the resting energy expenditure of each individual, based on his/her age, gender, height and weight.”
- Simple food group diversity indicators predict micronutrient adequacy of women's diets in 5 diverse, resource-poor settings. (2010, background): “Recognizing that extreme single-day intakes are possible (26), decisions on exclusions were made differently across sites depending on the level of involvement of the researchers in the initial data collection and processing.”
- Ultra-processed food intake and risk of cardiovascular disease: prospective cohort study (NutriNet-Santé) (2019, methodology): “…method proposed by Black, using the basal metabolic rate and Goldberg cut-off, in order to screen participants with abnormally low energy intakes, and energy under-reporters (20.0% of the cohort) were excluded 53 (see supplementary appendix 1 for details about energy underreporting in the cohort).”