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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.


Nutrition. 2020 Feb;70:110605. doi: 10.1016/j.nut.2019.110605

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Mikołajczyk-Stecyna J, Malinowska AM, Chmurzynska A.

Polymorphism of TAS2R3, TAS2R5, TAS2R19, and TAS2R50 Genes and Bitter Food Intake Frequency Inelderly Woman.

Background: Taste sensitivity is one of the most important biological determinants of food choice. Polymorphisms within the bitter taste receptor genes TAS2R3 (rs765007), TAS2R5 (rs2234012), TAS2R19 (rs10772420), and TAS2R50 (rs1376251) may affect bitter taste sensitivity and thus food choices and thereby metabolic biomarkers in blood. The aim of this study was to investigate associations between selected TAS2Rs  single nucleotide polymorphisms (SNPs) and the choice of the most popular bitter food items in    a Polish population, BMI and blood biomarkers in elderly women.

Methods: The study group included 116 Polish women over 60 years of age. Intake of Brassica vegetables, grapefruit and coffee was assessed using a food frequency questionnaire. Biochemical parameters were measured using the spectrophotometric method. Genotyping was performed using the high resolution melting method.

Results: We show an association between SNPs of the TAS2R3 gene and the frequency of Brassica vegetable intake, between SNPs of the TAS2R5 gene and the frequency of grapefruit intake, and between the simultaneous effects of polymorphisms within TAS2R3 and TAS2R5 and the frequency of eating Brassica vegetables in general. We found no association between the genetic polymorphisms of TAS2R19 or TAS2R50 that were examined and the frequency of bitter-tasting food intake. Moreover, the SNPs of the selected TAS2Rs genes may be associated with the lipid profile, serum level of glucose and CRP, depending on the frequency of consumption of particular bitter-tasting items.

Conclusions: The genetic polymorphisms analyzed in the study seem not to contribute significantly to variability in bitter-tasting food intake in elderly women, although they may influence metabolic biomarkers dependent on the intake of particular bitter-tasting food items.

Acta Sci Pol Technol Aliment. 2020 Jan-Mar;19(1):109-122. doi: 10.17306/J.AFS.0729.

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