An Afternoon Hummus Snack Affects Diet Quality, Appetite, and Glycemic Control in Healthy Adults

Effect of using the snackability app on snack quality among US college students with overweight and obesity: A randomized controlled trial

OBJECTIVE

To determine if using the Snackability app improves snack intake among college students.

PARTICIPANTS

US college students with overweight/obesity were recruited in June 2020-April 2021.

METHODS

A randomized controlled trial was conducted to test the Snackability app use for 12 wk on snack scores (calculated from the app) compared to controls. We also explored the effect on diet quality (Healthy Eating Index-2015) and weight. Outcomes were compared between the intervention and the control groups at 4, 8, and 12 wk using repeated measures ANOVA.

RESULTS

Participants in the app group significantly increased snack score at week 4 (p < 0.001) and week 8 (p = 0.015) and increased HEI-2020 score (p < 0.001) at week 4 compared to controls. The first 4 wk had the highest app usage. No significant differences were seen in body weight.

CONCLUSIONS

The Snackability app can be used as a tool to help improve snack and diet quality in this group.

Timing and Nutrient Type of Isocaloric Snacks Impacted Postprandial Glycemic and Insulinemic Responses of the Subsequent Meal in Healthy Subjects

The aim of the study was to explore the impact of both the macronutrient composition and snacking timing on the postprandial glycemic insulinemic responses and food intake. Seventeen healthy female volunteers completed the randomized crossover trials. The volunteers were provided a standard breakfast and lunch at 8:00 and 13:00, respectively, and an ad libitum dinner at 18:00. Provided at either 10:30 (midmorning) or 12:30 (preload), the glycemic effects of the three types of 70 kcal snacks, including chicken breast (mid-C and pre-C), apple (mid-A and pre-A), and macadamia nut (mid-M and pre-M), were compared with the non-snack control (CON), evaluated by continuous glucose monitoring (CGM). The mid-M showed increased insulin resistance after lunch compared with CON, while the pre-M did not. The pre-A stabilized the glycemic response in terms of all variability parameters after lunch, while the mid-A had no significant effect on postprandial glucose control. Both the mid-C and pre-C improved the total area under the glucose curve, all glycemic variability parameters, and the insulin resistance within 2 h after lunch compared with CON. The pre-C attained the lowest energy intake at dinner, while the mid-A and the mid-M resulted in the highest. In conclusion, the chicken breast snack effectively stabilized postprandial glycemic excursion and reduced insulin resistance while the macadamia snack did not, regardless of ingestion time. Only as a preload could the apple snack mitigate the glucose response after the subsequent meal.

Snack quality and snack timing are associated with cardiometabolic blood markers: the ZOE PREDICT study

BACKGROUND

Snacking is a common diet behaviour which accounts for a large proportion of daily energy intake, making it a key determinant of diet quality. However, the relationship between snacking frequency, quality and timing with cardiometabolic health remains unclear.

DESIGN

Demography, diet, health (fasting and postprandial cardiometabolic blood and anthropometrics markers) and stool metagenomics data were assessed in the UK PREDICT 1 cohort (N = 1002) (NCT03479866). Snacks (foods or drinks consumed between main meals) were self-reported (weighed records) across 2-4 days. Average snacking frequency and quality [snack diet index (SDI)] were determined (N = 854 after exclusions). Associations between snacking frequency, quality and timing with cardiometabolic blood and anthropometric markers were assessed using regression models (adjusted for age, sex, BMI, education, physical activity level and main meal quality).

RESULTS

Participants were aged (mean, SD) 46.1 ± 11.9 years, had a mean BMI of 25.6 ± 4.88 kg/m2 and were predominantly female (73%). 95% of participants were snackers (≥ 1 snack/day; n = 813); mean daily snack intake was 2.28 snacks/day (24 ± 16% of daily calories; 203 ± 170 kcal); and 44% of participants were discordant for meal and snack quality. In snackers, overall snacking frequency and quantity of snack energy were not associated with cardiometabolic risk markers. However, lower snack quality (SDI range 1-11) was associated with higher blood markers, including elevated fasting triglycerides (TG (mmol/L) β; - 0.02, P = 0.02), postprandial TGs (6hiAUC (mmol/L.s); β; - 400, P = 0.01), fasting insulin (mIU/L) (β; - 0.15, P = 0.04), insulin resistance (HOMA-IR; β; - 0.04, P = 0.04) and hunger (scale 0-100) (β; - 0.52, P = 0.02) (P values non-significant after multiple testing adjustments). Late-evening snacking (≥ 9 pm; 31%) was associated with lower blood markers (HbA1c; 5.54 ± 0.42% vs 5.46 ± 0.28%, glucose 2hiAUC; 8212 ± 5559 vs 7321 ± 4928 mmol/L.s, P = 0.01 and TG 6hiAUC; 11,638 ± 8166 vs 9781 ± 6997 mmol/L.s, P = 0.01) compared to all other snacking times (HbA1c remained significant after multiple testing).

CONCLUSION

Snack quality and timing of consumption are simple diet features which may be targeted to improve diet quality, with potential health benefits.

CLINICAL TRIAL REGISTRY NUMBER AND WEBSITE

NCT03479866, https://clinicaltrials.gov/ct2/show/NCT03479866?term=NCT03479866&draw=2&rank=1.

Snacking behavior is associated with snack quality, overall diet quality, and body weight among US college students

Snacking behavior may affect snack quality, overall diet quality, and body weight; however, the associations between these variables have not been studied among college students. The objective of this study was to associate snacking behaviors with snack quality, diet quality, and weight status among college students with overweight and obesity. We hypothesized that a higher snacking frequency, accessibility and availability of unhealthy snacks, and lack of knowledge would be associated with lower snack and diet quality, and higher weight. Participants (n = 140) completed a snack behavior questionnaire, three 24-hour dietary recalls to assess diet quality using Healthy Eating Index 2015 (HEI-2015), and snack score using an algorithm based on the US DA Smart Snack guidelines and reported weight and height to calculate body mass index (BMI). Analysis of variance and Pearson correlation was used in the analyses. After adjusting for confounders, snack frequency was not associated with snack score, HEI-2015 score, or BMI, but evening snacks had a significantly lower snack score compared with late afternoon snacks (P = .017). Also, those with more accessibility and availability of unhealthy snacks had a lower snack score (P = .001), lower HEI-2015 score (P = .006), and higher BMI (P = .019). Snacking for pleasure was significantly associated with a lower snack score (P = .037). Snack score was positively correlated with HEI-2015 score but not with BMI. In conclusion, late snacking, unhealthy snack environment, and snacking for pleasure were associated with lower snack and diet quality. These findings could be used in future intervention strategies to improve snacking behaviors and the food environment.

Low glycemic index common bean snack increased satiety without modifying energy intake in adults with normal weight: randomized crossover trials

This study aimed to evaluate the short-term effect of a common bean baked snack (CBBS) and cooked bean consumption on energy intake, satiety, glycemic response, and palatability in subjects with normal weight (Study 1) and overweight (Study 2) and to determine the glycemic index of CBBS (Study 3). For studies 1 and 2, satiety and glycemic response were measured over 45 min after consuming CBBS, cooked beans or white bread preload, and energy intake at an ad libitum test meal was calculated. Energy intake remained similar after consuming the three preloads in both studies. Compared to white bread, CBBS consumption increased fullness by 52% in subjects with normal weight but not in those with overweight. The CBBS calculated glycemic index was considered low (42). Consumption of low glycemic index CBBS increased satiety in adults with a normal weight. Long-term trials assessing the effects on body weight management are necessary.

Predictive Validity of Image-Based Motivation-to-Eat Visual Analogue Scales in Normal Weight Children and Adolescents Aged 9-14 Years

Paper-based motivation-to-eat visual analogue scales (VASs) developed for adults are widely used in the pediatric age range. The VAS is comprised of four domains: hunger, fullness, desire to eat, and prospective food consumption. The purpose of the present study was to determine agreement between the traditional paper-based VAS and a novel digital VAS (with and without images), as well as the novel digital VAS's predictive validity for subsequent food intake (FI) in 9-14-year-old children and adolescents. Following an overnight fast and 3 h after consuming a standardized breakfast at home, children and adolescents (n = 17) completed three different VAS instruments (VAS_paper, VAS_images, VAS_no-images) in a randomized order at five time-points: 0 min (baseline), 5 min (immediately after consuming a 147 kcal yogurt treatment), 20 min, 35 min (immediately before an ad libitum lunch), and 65 min (immediately post ad libitum lunch). All three instruments were comparable, as shown by low bias and limits of agreement on Bland-Altman plots, moderate to excellent intraclass correlation coefficients for all domains at all time-points (ICC = 0.72-0.98), and no differences between the incremental area under the curve for any of the domains. All three instruments also showed good predictive validity for subsequent FI, with the strongest relationship observed immediately before the ad libitum lunch (p = 0.56-0.63). There was no significant association between subjective thirst and water intake, except with VAS_no-images at baseline (r = 0.49, p = 0.046). In conclusion, the present study suggests that a novel image-based digital VAS evaluating motivation-to-eat is interchangeable with the traditional paper-based VAS, and provides good predictive validity for next-meal FI in 9-14-year-old normal weight children and adolescents.

The Benefits of Including Hummus and Hummus Ingredients into the American Diet to Promote Diet Quality and Health: A Comprehensive Review

Over the last decade, hummus has become an increasingly popular food. Given the ingredients (i.e., primarily chickpeas and tahini), nutrient composition, versatility, and acceptability, hummus can play a unique role when included in the American diet, to promote diet quality and improve health. The purpose of this paper is to provide a comprehensive review of the scientific evidence examining the effects of acute and long-term consumption of hummus and hummus ingredients on diet quality and risk factors related to type 2 diabetes, cardiovascular disease, and obesity. In addition, food pattern/menu modeling is included to illustrate the potential nutritional impact of consuming hummus to meet dietary guidelines. In general, the consumption of hummus and/or its respective ingredients has been shown to improve postprandial glycemic control, fasting lipids, appetite control, and daily food intake compared to other commonly consumed foods. The incorporation of hummus into the American diet can also improve diet quality by replacing foods higher in saturated fats, sodium, or added sugars. Collectively, these findings support the addition of hummus and/or hummus ingredients as an important component of a healthy dietary pattern.