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    The authors thank the subjects, the examiner and the institution involved in this study. They also thank Amanda Cantrell for managing the studies and Dr. Jeffery Suico, the clinical pharmacologist. Jennifer Leohr is a partner and associate shareholder of Eli Lilly and Company. Maria Kjellsson does not explain conflicts of interest. Eli Lilly and Company was involved in the design of the studies, the analysis of the data and the creation of the manuscript. Eli Lilly and Company provides access to all participant data collected during the post-anonymization study, with the exception of pharmacokinetic or genetic data. The data can be requested six months after the authorization of the indication analyzed in the United States and the European Union and after the adoption of the primary publication, depending on what is later. Access takes place after approval of a proposal by an independent audit committee established for this purpose and after receiving a signed agreement on the exchange of data. In this study, there were no significant differences in softness, creaminess, or pleasant score between subjects who are thin and those who are obese or very obese. This is perhaps surprising when you consider that obesity is probably due to an interaction between genetic predisposition and overconsumption of foods high in fat and sugar.

    However, the perception of the pleasant within the SPFT measures „like“ rather than „desire.“ Liking measures the preference of the subject to be consumed; However, I like can`t be correlated with the desire to consume (37). This was illustrated in a study using the Sip and Spit method, which found discrepancies between the most preferred sucrose concentration and the most consumed sucrose concentration (38). Similarly, there was a lack of association between sensory measures and food intake in the diet-flavour relationship (35). In addition, we ranked the groups only on BMI for this analysis however, BMI and other physical descriptors (i.e. % body fat, hip circumference or waist circumference) reflect the result of obesity and not the reason. Clearly, there are several causes of obesity, including excessive food consumption, lack of physical activity, hormonal imbalances, eating disorders (binge food), etc. The application of the SPFT and the model would be of particular interest to people for whom weight gain is due to a disruption in food consumption, such as. B.Binge-Eating. The standard average and error were calculated for the 16 solutions for each population (thin, obese and very obese) on the different values (softness, smoothness and pleasant).

    Responses for each score were compared graphically between the three populations. There was an increase in average score with increased sugar and fat in all subject groups by solutions with 11.3% fat (half and half). Solutions with the highest fats (37.5%) less than the 11.3% of fat solutions were preferred. These results are adapted to what has been reported previously (8). One possible explanation is that the highest fat solution may have coated the tongue; to block the taste of sugar in the solution and result in a lower score. This was also observed with the sweetness score, where 20% sugar level in the presence of 37.5% fat was rated below 11% fat for subjects who are lean and very obese. Men in general judge phenomena more than reality. All men have eyes, but few have the gift of penetration. Niccolo Machiavelli Better do business, they prefer to reduce you with a compromise rather than go to court and lose their shorts.

    In category result modeling, the probability of an observation is used, not the numerical value of the result itself in the analysis.


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