Can adverse effects of dietary fat intake be overestimated as a consequence of dietary fat underreporting?

OBJECTIVE: To describe the consequences of systematic reporting bias by the obese for diet-disease relationships.

DESIGN: The present report used 24-hour urinary nitrogen and estimates of 24-hour energy expenditure to assess error in diet reporting, and examined the consequence of accounting for this error for associations between dietary fat intake and serum low-density lipoprotein (LDL)-cholesterol.

SETTING: Sub-study to the Danish MONICA (Monitoring Trends and Determinants in Cardiovascular Disease) project, carried out in 1987-1988.

SUBJECTS: A random sub-sample of the adult Danish male population (n = 152).

RESULTS: Correcting dietary fat for underreporting error weakened, rather than strengthened, the association between dietary fat intake and LDL-cholesterol by reducing the slope of the regression from beta = 3.4, P = 0.02 to beta = 2.7, P = 0.04.

CONCLUSION: This example illustrates that systematic underreporting of dietary fat by high-risk groups such as the obese may produce an overestimated association. These results imply that previous epidemiological studies showing a positive association between percentage of energy from fat and other health outcomes, e.g. cancer and heart disease, may have overestimated the negative effects of a high-fat diet. If we were able to correctly assess dietary fat intake in general populations, recommendations for fat intake may be more liberal than the 30% suggested today. Improved assessment of fat intake in epidemiological studies is necessary for future development of evidence-based recommendations for diet and health .