Research

Energy balance

Using weight-dependent prediction equations (Goldberg or pTEE methods) to exclude implausible energy reporters in epidemiologic studies of diet and BMI introduces selection bias and reverses observed associations compared to using simple absolute caloric cutoffs.

When analyzing diet and weight data, avoid using complex formulas that exclude people based on their weight if your outcome is also weight-based (like BMI). This creates a statistical illusion. Simple cutoffs for extreme calorie reporting (e.g., <500 or >3500 kcal/day) are often sufficient and less prone to bias. For prospective changes in weight, the method of exclusion matters less.

GoodRefutesHIGH confidence
We found similar associations using the 3 methods... These results do not support the general conclusion that use of exclusion criteria based on the alternative methods might confer an advantage over the recommended exclusion method.
Jinnie J. Rhee et al. · American Journal of Epidemiology · 2015

Why this rating

Large prospective cohort (Nurses' Health Study, n=52,110), replication of prior findings, and biomarker validation.

Source

Comparison of Methods to Account for Implausible Reporting of Energy Intake in Epidemiologic Studies

Jinnie J. Rhee et al. · American Journal of Epidemiology · 2015

DOI 10.1093/aje/kwu308

cohort · n=52110Cited 233×
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DOI resolved against Crossref · corpus check 2026-06-10

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