Short-Term Effect of Convenience Meal Intake on Glycemic Response and Satiety among Healthy College Students in South Korea.
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ABSTRACT:
SUBMITTER: Jang E
PROVIDER: S-EPMC5539215 | biostudies-other | 2017 Jul
REPOSITORIES: biostudies-other
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Project description:It is well established that the satiety providing effects of food can influence meal size and a disparate area of research suggests that memory regarding recent eating informs food intake. Here we examined whether remembered meal satisfaction (encompassing memory for meal liking and satiety) can be manipulated in the laboratory and whether this influences later food intake. Participants (N = 128, body mass index mean = 23.46kg/m², standard deviation = 4.70) consumed a fixed lunch and then rehearsed the satisfying or dissatisfying aspects of the meal, or a neutral experience (control), in order to manipulate memory for meal satisfaction. Three hours later participants completed a bogus taste-test to measure food intake and meal memory measures. There was no evidence that memory for general satisfaction with the meal was affected by the rehearsal condition. However, in the dissatisfying rehearsal condition, participants remembered being less satisfied with the satiety-providing effects of the lunch meal than in the satisfying and neutral rehearsal conditions. Snack food consumption did not differ across conditions and there was a small negative correlation between how satiating participants remembered their earlier meal to be and later snack food intake (r = -0.16, p = 0.07). The present study did not produce evidence that memory relating to meal satiety affects later food intake but further research is warranted.
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Project description:The aim of this study was to investigate respondents' satisfaction with smart device-based testing (SBT), as well as its convenience and advantages, in order to improve its implementation. The survey was conducted among 108 junior medical students at Kyungpook National University School of Medicine, Korea, who took a practice licensing examination using SBT in September 2015. The survey contained 28 items scored using a 5-point Likert scale. The items were divided into the following three categories: satisfaction with SBT administration, convenience of SBT features, and advantages of SBT compared to paper-and-pencil testing or computer-based testing. The reliability of the survey was 0.95. Of the three categories, the convenience of the SBT features received the highest mean (M) score (M= 3.75, standard deviation [SD]= 0.69), while the category of satisfaction with SBT received the lowest (M= 3.13, SD= 1.07). No statistically significant differences across these categories with respect to sex, age, or experience were observed. These results indicate that SBT was practical and effective to take and to administer.
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Project description:BackgroundHealth-related warning labels may reduce the intake of sugar-sweetened beverages (SSBs), but the effectiveness of such labels in real-world settings is not well established.ObjectivesWe investigated the influence of warning labels on SSB intake among college students at a large public Midwestern university.MethodsWe conducted a quasi-experimental intervention study among 840 undergraduate students recruited from 3 dining halls on 1 university campus. One dining hall was selected as the intervention (I) site, whereas the other dining halls served as control (C) sites. In January 2019, warning labels were posted on SSB dispensers at the I site. All students reported their beverage intake using a modified beverage frequency questionnaire 2 mo before and 2 mo after the warning label implementation. Generalized linear models examined the influence of the warning labels on SSB consumption at the I site compared with the C sites, adjusting for students' sociodemographic characteristics.ResultsIn the sample, 68% were aged 17-18 y old at baseline, and 51% identified as female. From baseline to follow-up, there was a 19% decrease in SSB intake at the I site, compared with a 5% decrease at the C sites (P = 0.049 comparing I with C). This difference was driven by significant decreases in the intakes of fruit-flavored drinks, sweetened teas, and flavored milk at the I site compared with the C sites. Although not an SSB, 100% fruit juce consumption decreased 21% at the I site, compared with a 1% increase at the C sites (P = 0.01 comparing I with C). No significant differences were observed in the intakes of soda, energy drinks, sweetened coffees, and nonsugary drinks at the I site compared with the C sites.ConclusionsWarning labels were effective in reducing SSB intake among college students, particularly for fruit-flavored drinks, sweetened teas, and flavored milk.This trial was registered at clinicaltrials.gov as NCT04435145.
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Project description:Approximately 4 μg of DNA was isolated from blood of each of 16 subjects using the Qiagen DNEasy Blood and Tissue Kit. Of the 16 samples, 8 were from group 1 (CESD-H/TST-H; 5 female, 3 male) and 8 were from group 2 (CESD-H/TST-L; 5 female, 3 male). All DNA samples were confirmed to be of high purity (A260/280: 1.7-2.0). Pooled samples were prepared for each group by combining approximately 75 ng of DNA from each of the eight subjects. These two samples were submitted to the Yale Genomics Core for epigenome-wide methylation profiling using the Illumina Infinium HumanMethylation450 BeadChip, which measures the level of methylation β (a value ranging from 0 to 1, where 0 represents a completely unmethylated site and 1 a completely methylated site) at each of the 485,577 CpG sites on the array. Illumina’s GenomeStudio software was used to calculate the degree of differential methylation by group for each CpG site on the array, and FDR-adjusted p-values (Q-values) were calculated for each site in order to adjust for multiple comparisons. CESD=depression score; TST=sleep score
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Project description:Approximately 4 μg of DNA was isolated from blood of each of 16 subjects using the Qiagen DNEasy Blood and Tissue Kit. Of the 16 samples, 8 were from group 1 (CESD-H/TST-H; 5 female, 3 male) and 8 were from group 2 (CESD-H/TST-L; 5 female, 3 male). All DNA samples were confirmed to be of high purity (A260/280: 1.7-2.0). Pooled samples were prepared for each group by combining approximately 75 ng of DNA from each of the eight subjects. These two samples were submitted to the Yale Genomics Core for epigenome-wide methylation profiling using the Illumina Infinium HumanMethylation450 BeadChip, which measures the level of methylation β (a value ranging from 0 to 1, where 0 represents a completely unmethylated site and 1 a completely methylated site) at each of the 485,577 CpG sites on the array. Illuminaâs GenomeStudio software was used to calculate the degree of differential methylation by group for each CpG site on the array, and FDR-adjusted p-values (Q-values) were calculated for each site in order to adjust for multiple comparisons. CESD=depression score; TST=sleep score Blood-derived genomic DNA was isolated from 16 subjects; 8 each with high and low total sleep scores, respectively. DNA was pooled by group and genome-wide methylation profiling was performed.
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Project description:BackgroundAlthough protein-rich plant foods have recently been touted as an equivalent to animal products, limited data exist regarding the effects of animal vs. plant proteins on appetite, satiety, and subsequent food intake.ObjectiveThe objective was to determine whether a high-protein beef lunch alters the appetitive, hormonal, and neural signals controlling food intake regulation vs. a macronutrient and fiber-matched (MF) or serving size-matched (SS) soy lunch in healthy adults.MethodsA randomized, double-blind, crossover design study was completed in 21 adults (aged 23 ± 1 y; body mass index: 23.8 ± 0.6 kg/m²; mean ± SEM) to compare 400-kcal MF and SS lunches varying in protein quality. The MF lunches contained 24-g beef protein or 24-g soy protein, whereas the SS lunches contained 1 serving of beef (24-g protein/1-g fiber) or soy (14-g protein/5-g fiber). Pre- and postlunch appetite questionnaires and blood sampling were completed over an 8-h period until dinner was voluntarily requested. In addition, pre- and postlunch functional MRI brain scans were completed to assess neural activation in response to food stimuli.ResultsOn average, dinner was requested at ∼250 ± 20 min postlunch with no differences between beef vs. soy within the MF and SS conditions. Furthermore, no differences in hunger, fullness, peptide YY, or glucagon-like peptide-1 responses were observed after the beef vs. soy lunches within the MF and SS conditions. The SS beef meal led to reductions in anterior cingulate activation (-22 ± 6%) vs. soy (+7 ± 9%; P < 0.01) and greater reductions in insular activation (-30 ± 6%) vs. SS soy (-7 ± 10%; P < 0.01). The participants consumed ∼945 ± 78 kcal after the MF meals and 910 ± 74 kcal after the SS meals with no differences between beef vs. soy.ConclusionsWhen comparing 2 high-quality protein sources, such as beef and soy, the type of protein consumed within a mixed meal elicited very little effect on appetite, satiety, and food intake in healthy adults.
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