Dietary Patterns Associated with Obesity and Overweight: When Should Misreporters Be Included in Analysis?

Objective: The aim of the study was to identify dietary patterns associated with overweight and obesity and to examine the effect of including and excluding misreporters on the analysis of these dietary patterns and on the associations between identified dietary patterns and anthropometric parameters.

Methods: The study was carried out with adult participants in an observational case-control manner. The participants' diet was assessed using 3-d dietary records. To identify misreporters, the Goldberg and Black cutoff method was used. Dietary patterns were evaluated using factor analysis and dietary indices.

Results: Among 410 participants, 100 were underreporters and 1 was an overreporter. The nutritional value of the diets and the relative intake of several groups of food products differed between those with normal and increased body weight. Excluding misreporters affected the differences between body weight groups in energy; dietary fiber; empty calories; cholesterol; sodium; magnesium; folate; vitamins C, PP, and A; groats; vegetables; coffee; and water intake. The Western diet (WD) factor correlated positively with the waist circumference and the amount of fat tissue, whereas the healthy diet (HD) factor correlated negatively with body weight, waist circumference, and the fat tissue amount. The coefficients of the correlation between the HD factor and the anthropometric parameters were stronger when misreporters were excluded, whereas those between the WD factor and the parameters did not change much after exclusion of misreporters.

Conclusions: There is a positive relationship between the WD pattern and obesity. The exclusion of misreporters from the data set may positively affect the association between the HD pattern and anthropometric parameters.