Hedonic Hunger Is Associated with Intake of Certain High-Fat Food Types and BMI in 20- to 40-Year-Old Adults.

BACKGROUND: Hedonic hunger occurs in response to a desire to consume food for pleasure. The µ-opioid system regulates the hedonic impact of food and the opioid receptor mu 1 gene (OPRM1) polymorphism has been associated with fat intake. OBJECTIVES: The aim of this study was to determine whether the intake of high-fat food is associated with hedonic hunger and the OPRM1 polymorphism and whether these variables are related to BMI. METHODS: Participants were 20- to 40-y-old women and men enrolled in Poznan, Poland in 2016-2018. The frequency of consumption of high-fat food was measured using a validated application for mobile devices. Hedonic hunger was assessed with the use of the Power of Food Scale (PFS). PFS1, PFS2, and PFS3 scores were generated for food available, food present, and food tasted, respectively. Genotyping of rs1799971 in the OPRM1 gene was performed using TaqMan probes. The associations were analyzed using linear regression or logistic regression, as appropriate. RESULTS: Hedonic hunger scores were not associated with total high-fat food intake. Total PFS was associated with snack intake (ß: 0.16, P = 0.0066). PFS1 was positively associated with healthy high-fat food intake (ß: 0.27, P = 0.0001) and PFS2 with sweet high-fat food and fast-food intake (ß: 0.27, P = 0.0030). OPRM1 genotype and hedonic hunger interacted on fast-food intake (ß: -0.17; P < 0.0154). Total PFS and PFS2 increased the chance of having a BMI ≥ 25 kg/m2 (OR: 1.43; 95% CI: 1.03, 2.01; P = 0.0335 and OR: 1.89; 95% CI: 1.37, 2.61; P = 0.0001, respectively), whereas PFS3 decreased it (OR: 0.61; 95% CI: 0.41, 0.87; P = 0.0082). CONCLUSIONS: Hedonic hunger is associated with the intake of selected types of high-fat food, but not with its total intake, in people aged 20-40 y. Associations between hedonic hunger and fast-food intake can be modified by OPRM1 genotype. Hedonic hunger is associated with BMI.

Greater self-reported preference for fat taste and lower fat restraint are associated with more frequent intake of high-fat food.

The determinants of the intake of high-fat products are not well recognized, but fat preference may be one of them. The aim of this study was thus to determine whether intake of different types of high-fat food is associated with fat preference in people with normal and increased body weight. Participants aged 20-40 years [n = 421] were enrolled in Poznan, Poland in 2016-2018. Fat preference was measured using the Fat Preference Questionnaire. Self-reported preference for fat taste (TASTE) and fat restraint (DIFF) scores were calculated. The frequency of consuming high-fat food was measured with an application for mobile devices using ecological momentary assessment. TASTE was positively associated with calorie intake and total frequency of eating high-fat food in both the normal weight and the overweight/obese groups. Overweight and obese people had lower DIFF (p < 0.001) than normal weight people. DIFF was negatively associated with total calorie intake and total intake of high-fat food, but only in normal weight people (ß = -0.16, p < 0.01 and ß = -0.26, p < 0.001, respectively). DIFF was negatively associated with the frequency of eating sweet (ß = -0.33, p < 0.000) and meat high-fat food (ß = -0.25, p < 0.001) in the normal weight group. The frequency of consumption of high-fat food and calorie intake are positively associated with self-reported preference for fat taste. In normal weight subjects fat restraint is negatively associated with calorie intake and total frequency of high-fat food intake, as well as with intake of different types of fatty food. Fat preference measures are thus associated with high-fat food intake, but these associations differ by body weight status.

Polymorphism of CD36 Determines Fat Discrimination but Not Intake of High-Fat Food in 20- to 40-Year-Old Adults.

BACKGROUND: The determinants of the intake of high-fat products are not well understood. OBJECTIVE: The aim of this study was to examine the relations between fat perception, intake of high-fat food, and body-weight status, taking into account the polymorphism of the genes that encode the proteins involved in oral fat perception. METHODS: A total of 421 participants aged 20-40 y were enrolled in Poznan, Poland, from 2016 to 2018. An ascending forced-choice triangle procedure was applied to determine fat discrimination ability. Salad dressings with varying concentrations of canola oil were used as stimuli. Genotyping of rs1761667 (CD36) rs1573611 [free fatty acid receptor 1 (FFAR1)], rs17108973 [free fatty acid receptor 4 (FFAR4)], and rs2274333 (CA6) was performed using TaqMan probes. The frequency of consumption of high-fat foods was measured using an application for mobile devices that uses the ecological momentary assessment approach. The associations were analyzed using linear regression or logistic regression, as appropriate. RESULTS: Individuals with the GG CD36 genotype were twice as likely to be fat discriminators, compared with the A allele carriers (P < 0.05). The mean total consumption of high-fat food was 45.8 (44.6, 47.0) times/wk and was not associated with fat discrimination or body-weight status. Obese and overweight subjects ate healthy high-fat food less frequently than did participants with normal body weight, at 4.53 (3.83, 5.23) versus 6.68 (5.82, 7.55) times/wk, respectively (P < 0.001). Men ate sweet high-fat food and snacks 15% less frequently than did women (P < 0.001 and P < 0.05) but consumed high-fat meat and fast food almost 40% more often than did women (P < 0.001 for both associations). CONCLUSIONS: In individuals aged 20-40 y, fat discrimination ability is associated with polymorphism of CD36 but not with the choice of high-fat food. The frequency of consumption of different types of high-fat foods varies by sex and body-weight status.

Thermal resistance of Listeria monocytogenes, Escherichia coli O157:H7 and Salmonella in animal fat - Kinetic analysis and mathematical modeling.

The objective of this study was to evaluate the effect of fat on thermal resistance of L. monocytogenes, E. coli O157:H7, and Salmonella spp. A 4-strain cocktail of each microorganism was inoculated to beef tallow and heated isothermally at temperatures between 55 and 80℃. All survival curves did not follow the 1st-order inactivation kinetics but conformed to a two-stage linear pattern. The first stage was markedly less heat-resistant than the second, as manifested by significantly lower D values. The z values of E. coli O157 H7 and Salmonella spp. were 11.8 °C and 12.3 °C in the first stage (z1) but increased to 23.7 °C and 20.8 °C in the second stage (z2), respectively. For L. monocytogenes, while the z values were similar for both stages (z1 = 19.6 °C and z2 = 18.5 °C), the second stage D values are 3.6-5.9 times of those in the first stage. One-step analysis was used to fit the nonlinear curves to the Weibull model, yielding < 1 exponents for the model (0.495, 0.362, and 0.282, respectively, for L. monocytogenes, E. coli O157:H7, and Salmonella spp.), suggesting gradually increased thermal resistance during heating. The experimental results showed that these microorganisms could resist heating for longer time and at higher temperatures in tallow than they do in regular meats containing lower levels of fat. The kinetic models can be used to develop thermal processes to properly inactivate pathogens contaminated in the fat portions of meat products or other high fat products.

Use of a Smartphone Application Can Improve Assessment of High-Fat Food Consumption in Overweight Individuals.

BACKGROUND: We evaluated the feasibility of an application for measuring the frequency of consumption of high-fat foods and compared this application with standard methods. METHODS: Twenty-six females and thirty six males aged 20⁻40 were enrolled in Poland. Participants completed the Block Screening Questionnaire for Fat Intake (BSQF; Q1) and a second questionnaire (Q2) with additional high-fat foods. The participants were then monitored for ten days in a real-time manner using a smartphone application that employed the same lists of food as Q2. RESULTS: Most subjects (84%) gave replies to at least three prompts on at least 5 days. The results from Q1 and the application were correlated (r = 0.42, p < 0.001). Energy intake and the frequency of consumption of high-fat foods were correlated in the overweight/obese group (r = 0.83, p < 0.001). The mean differences between Q2 and the app were similar in both groups but the agreement limits were wider in the overweight/obese group than in the normal weight group. CONCLUSIONS: An application for mobile devices is a feasible tool for capturing the frequency of high-fat food consumption and it seems to improve the measured variable, especially in overweight or obese people.