Females' ability to discriminate MSG from NaCl influences perceived intensity but not liking of MSG added vegetable broths.

This study investigated whether ability to taste monosodium glutamate (MSG) is associated with liking and intensity of sodium-reduced vegetable broths with added MSG. Six vegetable broths, with varying concentrations of added NaCl and MSG, were evaluated for overall intensity, and liking, by n = 115 female participants, mean age 24.1 ± 5.4. Broths evaluated included: control broth (0 g NaCl, 0 g MSG), high NaCl broth (0.8 g/100 mL), medium NaCl (0.4 g/100 mL), low NaCl (0.2 g/100 ml), medium NaCl (0.4 g/100 ml) + 29 mM MSG and, low NaCl (0.2 g/100 mL) + 29 mM MSG. Participant's umami discrimination status was determined using forced-choice triangle tests (29 mM MSG vs 29 mM NaCl), and suprathreshold salt taste intensity (NaCl) was measured. A 7% Na reduction was possible by partially replacing NaCl with MSG without influencing intensity or liking in the low NaCl broth, in comparison to the highest liked NaCl only broth (medium NaCl). There was no significant difference in liking of broths between MSG discriminators (n = 37) and nondiscriminators (n = 78) (P > 0.2). MSG discriminators rated all broths as significantly more intense overall (except for control broth, P > 0.2) than nondiscriminators (P < 0.05). A significant relationship was found between MSG discrimination status, and salt taste intensity tertiles (χ2 (2, N = 115) = 8.45; P < 0.02) indicating that the Na ion dominates taste profile. The ability to discriminate MSG from NaCl does not influence liking of salt-reduced broths with added MSG. MSG discrimination status was associated with NaCl taste intensity, indicating that the sodium ion is dominant in influencing intensity (common to both MSG and NaCl). PRACTICAL APPLICATION: The addition of MSG to vegetable broths is an effective way to reduce total sodium in the broths without reducing liking of the broths, this is irrespective of an individual's ability to taste MSG or salt. Salt taste and umami taste (MSG) appear to be associated, indicating the sodium is important in influencing taste intensity for both salty and umami taste.

Association between food liking and the dietary quality in Australian young adults.

BACKGROUND AND OBJECTIVES: An individual's liking for food maybe associated with food consumption. This study investigates the association between food liking and dietary quality in Australian young adults. METHODS AND STUDY DESIGN: Food liking and food frequency data were collected via an online Food Liking Questionnaire (FLQ) and Food Frequency Questionnaire (FFQ). Food liking scores were calculated for groupings of foods. FFQ Food intake data was used to calculate diet quality using a 13 item Dietary Guideline Index (DGI). The relationship between food liking and DGI was assessed using linear regression models and the difference was assessed using an independent sample t-test and One-way ANOVA. RESULTS: Data were available from n=2,535 participants (BMI=24 (SD 3.74), age=21.9 (SD 5.05) years, female=77.1%). Liking for grains, vegetables, fruits, dairy, plant-based protein, was weakly positively associated with diet quality. Liking for animal-based protein, fat and oil, sweet food, and salty food, was weakly negatively associated with diet quality. Liking for grains, vegetables, fruits, dairy, plant-based protein and healthy foods increased across increasing DGI tertiles, and liking for animalbased protein, fat and oil, sweet food, salty food and discretionary foods decreased across increasing DGI tertiles. CONCLUSIONS: The results were logical with increased liking for healthy or discretionary foods linked with increased consumption of those foods. The results reinforce the strategy to introduce a variety of healthy food groups early in life to initiate flavour-nutrient learning and increase liking for healthy foods.

The relationship between culture, food liking, and body mass index in Australian and Thai young adults.

BACKGROUND AND OBJECTIVES: An individual's liking of food may be associated with Body Mass Index (BMI) due to its subsequent impact on food consumption. This study investigates the association between food liking and BMI in young adults from Australia and Thailand. METHODS AND STUDY DESIGN: Food liking data were collected via a validated online Food Liking Questionnaire (FLQ). Food liking scores were calculated for overall liking of groupings of foods: grains, vegetables, fruits, dairy, animal protein, plant-based protein, fat and oil, sweet food, salty food, and alcohol. The relationship between food liking and BMI (calculated from self-reported height and weight) was assessed using linear regression models including country and gender, and mean differences were assessed using independent sample t-test. RESULTS: Data were available from n=4,173 participants (BMI=22.25 (SD 4.18), age=20.6 (SD 4.22) years, female=71.6%, Thai=52.5%). There were significant differences of food liking between countries for all of food groups (p<0.01) except for animal-based protein and plantbased protein liking. BMI was positively, but weakly, associated with liking of animal-based protein (ß=0.20 [0.12, 0.28], p<0.001), and alcohol (ß=0.08 [0.02, 0.13], p<0.01) and negatively associated with plant-based protein (ß=-0.09 [-0.18, -0.01], p<0.05). There was significant difference of food liking between weight status for all of food groups. CONCLUSIONS: This study supports only minor associations between food liking and BMI, but cultural and gender variation in liking was evident.

The Response of More Health Focused and Less Health Focused People to a Physical Activity Calorie Equivalent Label on Discretionary Snack Foods.

A Physical Activity Calorie Equivalent (PACE) label shows the minutes of physical activity required to burn off the caloric content of a particular food. This study investigated the influence of PACE labelling on liking and consumption of discretionary snack foods in a group of more health focused and less health focused consumers. Participants (n = 97) tasted and rated (i.e., liking, prospective consumption) a range of snack foods with or without a PACE label. Total sampling consumption was also measured. Participants completed a shortened version of the International Physical Activity Questionnaire and the General Health Interest Scale questionnaire. Paired samples t-test, independent samples t-tests, a General Linear Model and Chi-Square tests were used to check for statistical significance. For more health focused participants (n = 57), the PACE label decreased only liking (p = 0.02). The PACE label was not effective in reducing liking (p = 0.49), prospective consumption (defined as the amount of the sample participants thought that they could consume) (p = 0.10) or consumption (p = 0.41) of energy-dense discretionary snack foods for less health focused individuals (n = 40). The level of participants' physical activity did not facilitate the influence of PACE labelling on liking, consumption or prospective consumption. The PACE label was found to not be effective among less health focused individuals or the overall sample population. Therefore, the PACE label may not be an effective labelling strategy to reduce the liking or consumption of discretionary snack foods.

Carbohydrate Taste Sensitivity Is Associated with Starch Intake and Waist Circumference in Adults.

Background: Recent studies have proposed that humans may perceive complex carbohydrates and that sensitivity to simple carbohydrates is independent of sensitivity to complex carbohydrates. Variation in oral complex carbohydrate sensitivity may influence food consumption.Objective: This study aimed to investigate the associations between oral complex carbohydrate sensitivity, anthropometry, and dietary intake in adults.Methods: We assessed oral sensitivity to complex carbohydrates (maltodextrin and oligofructose) by measuring detection thresholds (DTs) and suprathreshold intensity perceptions (STs) for 34 participants, including 16 men (mean ± SEM age : 26.2 ± 0.4 y; range: 24-30 y) and 18 women (age: 29.4 ± 2.1 y; range: 24-55 y). We also measured height, weight, and waist circumference (WC) and participants completed a 4-d food diary and a food-frequency questionnaire.Results: Measurements of oral sensitivity to complex carbohydrates were significantly correlated with WC and dietary energy and starch intakes (DT: r = -0.38, P < 0.05; ST: r = 0.36-0.48, P < 0.05). When participants were grouped into tertiles, there were significant differences in WC and total energy or starch intakes for those who were more sensitive or experienced high intensity compared with those who were less sensitive or experienced low intensity. Being more sensitive or experiencing high intensity was associated with greater energy (7968-8954 kJ/d) and starch (29.1-29.8% of energy) intakes and a greater WC (88.2-91.4 cm) than was being less sensitive or experiencing low intensity (6693-7747 kJ/d, 20.9-22.2% of energy, and 75.5-80.5 cm, respectively).Conclusion: Complex carbohydrate sensing is associated with WC and consumption of complex carbohydrates and energy in adults. This trial was registered at anzctr.org.au as ACTRN12616001356459.

Salt Promotes Passive Overconsumption of Dietary Fat in Humans.

BACKGROUND: Excess fat consumption has been linked to the development of obesity. Fat and salt are a common and appetitive combination in food; however, the effect of either on food intake is unclear. Fat taste sensitivity has been negatively associated with dietary fat intake, but how fat taste sensitivity influences the intake of fat within a meal has, to our knowledge, not yet been investigated. OBJECTIVES: Our objectives were, first, to investigate the effects of both fat and salt on ad libitum food intake and, second, to investigate the effects of fat taste sensitivity on satiation responses to fat and whether this was affected by salt. METHODS: Forty-eight healthy adults [16 men and 32 women, aged 18-54 y, body mass index (kg/m(2)): 17.8-34.4] were recruited and their fat taste sensitivity was measured by determination of the detection threshold of oleic acid (18:1n-6). In a randomized 2 × 2 crossover design, participants attended 4 lunchtime sessions after a standardized breakfast. Meals consisted of elbow macaroni (56%) with sauce (44%); sauces were manipulated to be1) low-fat (0.02% fat, wt:wt)/low-salt (0.06% NaCl, wt:wt),2) low-fat/high-salt (0.5% NaCl, wt:wt),3) high-fat (34% fat, wt:/wt)/low-salt, or4) high-fat/high-salt. Ad libitum intake (primary outcome) and eating rate, pleasantness, and subjective ratings of hunger and fullness (secondary outcomes) were measured. RESULTS: Salt increased food and energy intakes by 11%, independent of fat concentration (P= 0.022). There was no effect of fat on food intake (P= 0.6), but high-fat meals increased energy intake by 60% (P< 0.001). A sex × fat interaction was found (P= 0.006), with women consuming 15% less by weight of the high-fat meals than the low-fat meals. Fat taste sensitivity was negatively associated with the intake of high-fat meals but only in the presence of low salt (fat taste × salt interaction on delta intake of high-fat - low-fat meals;P= 0.012). CONCLUSIONS: The results suggest that salt promotes passive overconsumption of energy in adults and that salt may override fat-mediated satiation in individuals who are sensitive to the taste of fat. This trial was registered at the Australian New Zealand Clinical Trials Registry (www.anzctr.org.au) as ACTRN12615000048583.

Diet quality in young adults and its association with food-related behaviours.

OBJECTIVE: To determine the diet quality of a group of young adults and explore its associations with two food-related behaviours (involvement in meal preparation and consumption of commercially prepared meals). DESIGN: Cross-sectional study of young adults. Sample characteristics, food-related behaviours and dietary intake were assessed using a self-administered questionnaire including an FFQ. Diet quality was measured using the fifteen-item Dietary Guideline Index (DGI) designed to assess adherence to Australian dietary guidelines. One-way ANOVA, t tests and multiple linear regression analyses were used to explore the relationships between DGI scores, sample characteristics and food-related behaviours. SETTING: University students enrolled in an undergraduate nutrition class, Melbourne, Australia. SUBJECTS: Students (n 309) aged 18-36 years. RESULTS: The DGI score was normally distributed, with a mean score of 93·4 (sd 17·1) points (range 51·9-127·4 points), out of a possible score of 150 points. In multivariate analyses adjusted for age, sex, nationality, BMI and maternal education, cooking meals for oneself was positively associated with DGI score (ß = 0·15; 95 % CI 1·15, 10·03; P = 0·01); frequency of takeaway and frequency of convenience meal consumption were inversely associated with DGI score (ß = -0·21; 95 % CI -9·96, -2·32; P = 0·002 and ß = -0·16; 95 % CI -7·40, -0·97; P < 0·01, respectively). CONCLUSIONS: Cooking meals for oneself was linked to higher diet quality among young adults, while consumption of commercially prepared meals was associated with poorer diet quality. Maintaining education programmes that promote cooking skills within young adults has the potential to improve DGI scores.