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Dealing with dietary measurement error in nutritional cohort studies
Laurence S Freedman1, Arthur Schatzkin, Douglas Midthune
1Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel Hashomer, Israel.
Journal of the National Cancer Institute
|June 10, 2011
Summary
Dietary measurement error in nutritional studies weakens findings. Adjusting for this error and increasing sample size can improve the reliability of diet-disease association discoveries.
Area of Science:
- Nutritional Epidemiology
- Biostatistics
Background:
- Dietary measurement error poses significant challenges in nutritional cohort studies.
- This error leads to underestimation of relative risks and reduced statistical power for detecting diet-disease associations.
Purpose of the Study:
- To recommend approaches for addressing dietary measurement error in nutritional cohort studies.
- To improve the reliability of discovering diet-disease associations.
Main Methods:
- Utilized data from the Observing Protein and Energy Nutrition Study.
- Recommended energy adjustment for relative risk estimation in cohort studies using food-frequency questionnaires.
- Advocated for reporting measurement error-adjusted estimates and performing statistical adjustment (e.g., regression calibration) using validation data.
Main Results:
- Unadjusted relative risk estimates are biased toward the null value.
- Statistical significance tests for unadjusted estimates are approximately valid.
- Increasing sample size can help but may be an incomplete solution due to signal attenuation.
Conclusions:
- Statistical adjustment methods, such as regression calibration, are recommended for relative risk estimation.
- Future research should focus on improved self-report instruments and incorporating dietary biomarkers to reduce signal attenuation.
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