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Journal of Medicinal Food logoLink to Journal of Medicinal Food
. 2020 Jan 17;23(1):21–28. doi: 10.1089/jmf.2019.0097

A Snack Formulated with Ingredients to Slow Carbohydrate Digestion and Absorption Reduces the Glycemic Response in Humans: A Randomized Controlled Trial

Candida J Rebello 1, William D Johnson 1, Yang Pan 2, Sandra Larrivee 1, Dachuan Zhang 1, Mark Nisbet 2, Jodee Johnson 2, YiFang Chu 2, Frank L Greenway 1,
PMCID: PMC6985762  PMID: 31596655

Abstract

This study compared the effect of a snack with ingredients to slow carbohydrate digestion (Test-snack) on postprandial blood glucose and insulin concentrations and subjective appetite ratings. We hypothesized that Test-snack would lower glucose and insulin responses and reduce appetite compared with a Control-snack. Overweight or obese subjects (n = 17) completed a randomized crossover study. Glucose, insulin, and appetite ratings were measured before consuming each snack or white bread (Bread) and over a period of 4 h. Subjects received Test-snack, Control-snack, or Bread in random order at least a week apart. The a priori primary outcome was the glucose response, and the secondary outcomes were appetite ratings and insulin responses. Mixed effects statistical models were used to perform analysis of variance in terms of the area under curve (AUC) and at specific time points. The 2-h AUC for glucose was significantly lower with Test-snack compared to Control-snack and Bread (AUC and 95% confidence intervals: Test = 2186.43 [1783.36–2589.51]; Control = 3293.75 [2893.97–3693.54]; Bread = 2800.28 [2405.79–3194.77] mg/dL · min). Four-hour AUC for glucose, and insulin, followed a similar pattern except that Test-snack did not differ from Bread. The glucose concentrations peaked at 45 min under all three conditions, but Test-snack elicited a lower response than Control-snack and Bread (P < .01). Test increased fullness and satisfaction and reduced hunger and prospective intake compared to Bread (P < .02), but was not significantly different from Control-snack. Ingredients that slow carbohydrate digestion in a snack reduce the postprandial glucose and insulin responses compared to a product without these ingredients.

Keywords: appetite, functional food, glucose, insulin, starch digestion

Introduction

Dietary carbohydrates are digested and absorbed in the human gastrointestinal tract at different rates and to different extents depending upon the degree of polymerization, the crystalline form in the starch granule, and the processing or cooking.1 The rate, extent, and location of carbohydrate digestion and absorption are factors that influence metabolic outcomes.2 Growing scientific evidence suggests that an exaggerated postprandial glycemic response is a risk factor for several chronic diseases, such as diabetes and cardiovascular diseases.3–5 Recommendations to follow a healthy eating pattern to reduce the risk of chronic disease necessitate making the right food choices, including snacks. Thus, the identification of foods which are likely to have a positive impact on health is important.6,7

The terms rapidly available glucose and slowly available glucose reflect the rate at which glucose becomes available for absorption in the human small intestine, and to a large extent this availability is determined by the rate of starch digestibility. Slowly digestible starch produces moderate changes in the postprandial glycemia compared to rapidly digestible starch, which is characterized by a fast increase in blood glucose concentration.8 The microstructure, mechanical properties, and degree of gelatinization of starch, the food matrix, and the interactions between the protein, starch, and lipid content influence starch digestibility.2,9

This study investigated the effect of a savory snack (Test-snack) on the glycemic response in humans. Test-snack was formulated using a process in which whole grains, nuts, flour, and soluble fiber are packed into a hemisphere mold. The product is baked using a proprietary, low-moisture low-temperature process to minimize starch gelatinization, which reduces the rate at which it is digested. Since some of the ingredients also influence appetite, the effect on subjective appetite ratings was also evaluated. We hypothesized that Test-snack would reduce the blood glucose and insulin responses, subjective ratings of hunger, and the desire to eat while increasing fullness and satisfaction, compared to a Control-snack made from ingredients commonly used in commercially available snacks (oats, peanuts, and corn syrup) and baked using conventional procedures. Test- and Control-snack contained similar amounts of carbohydrate, protein, and fat, but the available carbohydrate (avCHO) in Test-snack was 27% lower than Control-snack. Therefore, the two snacks were also compared with commercially available white bread (Bread) having the same amount of avCHO as Test-snack.

Materials and Methods

Subjects

Twenty subjects, 18–60 years of age, were enrolled in a randomized, controlled crossover trial. Subjects having a body mass index between 25 and 30 kg/m2 and who had no known history of diseases requiring regular medications were included in the study. Female subjects also completed a menstrual cycle questionnaire so that test days would fall within the luteal phase of the menstrual cycle.10 Exclusion criteria were as follows: (i) Intake of regular medications other than oral or injectable contraceptives, multivitamins, or aspirin taken in a stable dose for health maintenance, (ii) women who were pregnant or nursing, (iii) self-reported weight gain or loss of ≥5 kg in the last 3 months, (iv) fasting glucose >126 mg/dL, triglycerides >600 mg/dL, liver enzymes >3-fold above upper limits of normal and abnormal hemoglobin/immune status, and (v) allergy to nuts.

The study was approved by the Institutional Review Board of the Pennington Biomedical Research Center (PBRC), Baton Rouge. All procedures were in accordance with PBRC's ethical standards and with the Helsinki Declaration. Participants provided written informed consent. The trial was registered on ClinicaTrials.gov with registration number NCT02688283.

Study design

Subjects were tested on three days separated by at least 1 week. Each subject was randomly assigned to one of six unique orders for receiving the three interventions using computer-generated pseudo random numbers. The randomization was done by the study statistician. Study staff except the study dietitian who assigned the snacks to subjects were blinded until data analysis. A nutrient analysis of the snacks is provided in Table 1.

Table 1.

Energy and Nutrient and Starch Digestibility Content of the Snacks

 
 
 
 
 
Carbohydrate (g)
Digestibility (g)
Test meal Weight (g) Energy (kcal)a Protein (g) Fat (g) Total Fiber Sugar Availableb RAG SAG
Test-snack 56 224 5 12 34 10 1 24 16.2 6.7
Control-snack 56 250 5 11 35 2 13 33 30.2 2.8
Bread 45 121 3.6 1.2 24 0 2.4 24 22.6 1.4

Data provided by sponsor.

a

Energy = 4 × protein +9 × fat +4 × available carbohydrate.

b

Total carbohydrate minus dietary fiber (rounded to nearest 0.1 g).

RAG, rapidly available glucose; SAG, slowly available glucose.

At the first test visit, subjects arrived at the Center after a 10-h overnight fast (except water) and having refrained from alcohol and strenuous exercise for 24 h before the visit. An intravenous line was placed, and blood was drawn for baseline serum glucose and insulin measurements. Electronic visual analog scales (VASs)11,12 were then administered. Hunger, fullness, prospective intake, and satisfaction were assessed. The subjects were presented with the snack and given 5 min to eat it, following which blood was drawn from the intravenous line at 15, 30, 45, 60, 75, 90, 105, 120, 150, 180, and 240 min. VAS ratings were completed at 30, 60, 90, 120, 180, and 240 min. Subjects were asked about adverse events at each of the times that the VAS ratings were completed. Subjects returned on another day to repeat the test and were presented with a snack that they did not receive on a previous occasion.

Physicochemical properties

The characterization of the physicochemical properties of the Test-and Control-snack is previously described. Briefly, Test-snack had higher moisture content, peak force, porosity, and dietary fiber (soluble, insoluble, and total) than Control-snack.13

Statistical analysis

The sample size and power estimates were based on the incremental area under the curve (iAUC) ignoring the area below the fasting level for blood glucose measurements during a 2-h meal tolerance test. The null hypothesis was formulated to test equality in iAUC means after consuming test-snack, control-snack, or white bread. An estimate of variability (standard deviation) was obtained from findings reported in a similar study.14 The global level of significance for pairwise tests was controlled at the nominal 0.05 level using the Tukey–Kramer method. A sample of at least 18 protocol-completer participants was estimated to provide minimum power of 80% for detecting a difference of 13 mmol/L (10% of expected white bread mean) or more in any of the pairwise comparisons. It was estimated that 17 subjects would provide 76% power for detecting the differences in the main outcomes. To allow for ∼20% attrition, 20 subjects were enrolled. The 2-h value for the power analysis was selected, since it was hypothesized that the greatest difference would be at the 2-h time point. Assessments were made for an additional 2 h to ensure that the time of the maximal difference was not missed.

A mixed model analysis of variance (ANOVA) for a crossover trial was performed to analyze the glucose response, which was the primary outcome of the study. The secondary outcomes were VAS appetite ratings and insulin responses to the snack meals. The iAUC and the total AUC (tAUC, adding a constant to bring all values above fasting) for glucose and insulin were calculated. The tAUC for VAS ratings of hunger, fullness, satisfaction, and prospective food intake was determined. The changes in glucose and insulin concentrations and VAS ratings from baseline to 240 min were analyzed using a mixed model ANOVA for a doubly repeated measures crossover trial where the first repeated measure variable was test day, and the second variable was elapsed time since start of the snack meal. Given the spacing between assessment days, the analysis made the plausible assumption that the effects of intervention did not carry over from one day of assessments to a subsequent day of assessments for any of the outcomes.

The changes from baseline were summarized as least square means plotted for each snack across the assessment times. The model included factors with fixed effects, test day main effects, and treatment main effects, in addition to the random effects of subjects within treatment groups. Thus, differences in treatment effects were compared with respect to AUC and per time point. Furthermore, the model was adjusted for baseline value of glucose and insulin concentrations and VAS scores, as well as gender and age. Since some of the cells were hemolyzed during the blood draw, the effects within various models were adjusted for hemolysis in the analyses of the glucose and insulin concentrations. All analyses were performed using SAS 9.4 (SAS Institute, Cary, NC, USA).

Results

Twenty subjects were enrolled in the study. Three subjects dropped out of the study due to schedule conflicts. There were no adverse events determined to be related to the study products. Differences in insulin concentrations and VAS scores were log transformed; hence, the confidence intervals (CIs) are provided. Descriptive characteristics of the subjects at baseline are summarized in Table 2.

Table 2.

Subject Characteristics at Baseline, Including Age, Body Mass Index, Gender, and Race

 
n = 17
  Mean ± standard deviation
Age 29.2 ± 6.5
BMI (kg/m2) 27.0 ± 1.6
  n (%)
Gender
 Female
9 (53)
 Male
8 (47)
Race
 White
8 (47)
 Black 9 (53)

BMI, body mass index.

Glucose

The 2-h iAUC for the glucose response was significantly lower with Test-snack compared to Control-snack and Bread (P ≤ .02). Although the iAUC over the 4-h period showed that the Test-snack reduced the glucose response compared to Control (P < .001), it did not differ from Bread. The iAUC and tAUC over 2 and 4 h are presented in Table 3. The least square means of the change from baseline are presented in Figure 1a. The glucose peak concentration was at 45 min under all conditions, but the rise elicited by the Test-snack was less than that elicited by the Control-snack and Bread (P < .01).

Table 3.

Total and Incremental Area Under the Curve (AUC and iAUC, Respectively) for the Serum Glucose and Insulin Response Over Two and Four Hours

  AUC 0–2 h iAUC 0–2 h AUC 0–4 h iAUC 0–4 h
Glucose (mg/dL · min)
 Test-snack 2186.43 (1783.36–2589.51)a 1038.94 (646.37–1431.51)a 5622.54 (5146.12–6098.96)a 1509.58 (1088.13–1931.04)a
 Control-snack 3293.75 (2893.97–3693.54)b 2113.84 (1724.51–2503.17)b 7026.69 (6555.07–7498.31)b 2985.07 (2567.86–3402.28)b
 Bread 2800.28 (2405.79–3194.77)b 1626.57 (1242.48–2010.67)b 5925.27 (5462.55–6387.98)a 1976.20 (1566.85–2385.55)a
Insulin (μU/mL · min)
 Test-snack 1381.50 (987.41–1775.59)a 968.11 (576.18–1360.04)a 2520.11 (2054.13–2986.09)a 1256.58 (800.79–1712.37)a
 Control-snack 2264.73 (1876.93–2652.52)b 1848.87 (1463.19–2234.55)b 3809.80 (3351.75–4267.86)b 2530.07 (2082.03–2978.12)b
 Bread 1637.42 (1250.81–2024.03)a 1220.70 (836.19–1605.21)a 2646.09 (2191.45–3100.74)a 1400.63 (955.71–1845.54)a

Values are mean (95% confidence intervals).

ab

Means within a column with a different superscript are significantly different.

AUC, area under the curve; iAUC, incremental area under the curve.

FIG. 1.

FIG. 1.

Changes in glucose and insulin concentrations from time 0 (before consuming the snack) to 4 h assessed through a meal tolerance test. (a) glucose (b) insulin. The least square means and confidence intervals are presented in Table 4.

Insulin

The 2-h iAUC for the serum insulin response was significantly higher with Control-snack compared to Test-snack and Bread (P < .01), but was not significantly different between Test-snack and Bread. The iAUC over the 4-h period showed a similar pattern. The tAUC and iAUC over 2 and 4 h are presented in Table 3. The least square means of the change from baseline are presented in Figure 1b. The change from baseline in serum glucose and insulin responses over four hours are presented in Table 4.

Table 4.

Changes in Glucose (mg/dL) and Insulin (μU/ml) Concentrations from Baseline (Time 0) Assessed Over Four Hours Through a Meal Tolerance Test

Time (min) Glucose
Insulin
Control snack Test snack Bread Control snack Test snack Bread
15 5.97 (1.91–10.02) −0.56 (−4.79 to 3.68) 2.38 (−1.45 to 6.20) 2.32 (0.19–5.19) −0.23 (−1.76 to 1.86) 0.14 (−1.35 to 2.09)
30 23.36 (18.69–28.02) 9.83 (5.03–14.63) 12.05 (7.64–16.46) 9.52 (5.45–15.05) 6.05 (2.78–10.54) 4.85 (2.16–8.43)
45 26.48 (21.10–31.87) 12.90 (7.38–18.42) 21.88 (16.75–27.00) 12.60 (8.23–18.31) 8.04 (4.59–12.61) 9.48 (6.09–13.83)
60 21.59 (16.34–26.83) 10.63 (5.23–16.03) 21.75 (16.72–26.78) 11.74 (7.92–16.62) 6.94 (3.99–10.76) 10.14 (6.91–14.18)
75 17.80 (12.81–22.78) 7.31 (2.12–12.49) 18.36 (13.58–23.13) 9.89 (6.43–14.32) 5.21 (2.62–8.58) 8.42 (5.49–12.08)
90 16.14 (10.86–21.42) 4.52 (−0.80 to 9.85) 13.06 (7.96–18.17) 10.92 (7.32–15.49) 3.56 (1.43–6.31) 5.56 (3.27–8.41)
105 10.77 (6.03–15.51) 2.05 (−2.78 to 6.87) 7.29 (2.78–11.79) 7.89 (5.07–11.42) 1.56 (−0.06 to 3.63) 2.90 (1.24–4.94)
120 9.69 (5.11–14.27) 3.79 (−0.95 to 8.53) 4.89 (0.57–9.22) 5.80 (3.21–9.12) 1.07 (−0.56 to 3.21) 1.96 (0.34–3.99)
150 4.93 (−0.13 to 10.00) 3.25 (−1.88 to 8.39) 0.33 (−4.42 to 5.07) 2.85 (0.65–5.78) 0.87 (−0.90 to 3.25) 0.06 (−1.35 to 1.90)
180 3.88 (−1.03 to 8.80) −0.25 (−5.38 to 4.88) −1.21 (−5.88 to 3.46) 1.05 (−1.22 to 4.39) −0.38 (−2.23 to 2.38) −1.27 (−2.73 to 0.83)
240 −3.06 (−7.91 to 1.79) −4.39 (−9.40 to 0.63) −3.65 (−8.36 to 1.06) −1.30 (−2.51 to 0.33) −1.99 (−3.06 to −0.53) −1.62 (−2.70 to −0.20)

Values are least square means (95% confidence intervals).

Hunger

The tAUC for the VAS ratings of hunger was significantly lower with Test-snack compared to Bread (P = .024), but was not significantly different between Test- and Control-snack or between Control-snack and Bread (tAUC [95% CI]: Test = 52.55 [41.77–61.47], Control = 60.22 [51.30–67.98], Bread = 64.19 [56.17–71.32], mm · min). Mean change in hunger ratings was significantly lower with Test-snack compared to Bread at 90 min (P = .018, Fig. 2a).

FIG. 2.

FIG. 2.

VAS appetite ratings from time 0 (before consuming the snack) to 4 h. (a) Hunger, (b) fullness, (c) prospect of future consumption, (d) satisfaction. The least square means and confidence intervals are presented in Table 5. VAS, visual analog scale.

Fullness

The tAUC for the VAS ratings of fullness was significantly higher with Test- and Control-snack compared to Bread (P ≤ .01), but was not significantly different between Test-snack and Control (tAUC [95% CI]): Test = 35.13 [25.21–48.95], Control = 31.30 [22.52–43.49], Bread = 19.54 [14.20–26.91], mm · min). Mean change in fullness ratings was significantly higher with Test-snack compared to Bread at 30, 60, 90, 120, and 180 min (P < .03). Mean change in fullness ratings was significantly higher with Control-snack compared to Bread at 30, 60, and 120 min (P < .01, Fig. 2b).

Prospective intake

The tAUC for the VAS ratings of the prospect of future consumption was significantly lower with Test- and Control-snack compared to Bread (P ≤ .02), but was not significantly different between Test- and Control-snack (tAUC [95% CI]: Test = 62.07 [52.65–70.24], Control = 67.37 [58.96–74.85], Bread = 77.06 [69.96–83.55], mm · min). Mean difference in the ratings for prospective intake was significantly lower with Test-snack at 30, 60, 90, 120, and 180 min compared to Bread and at 30, 60, and 90 min (P < .03) with Control-snack compared to Bread (Fig. 2c).

Satisfaction

The tAUC for the VAS ratings of satisfaction was significantly higher with Test- and Control-snack compared to Bread (P ≤ .02), but was not significantly different between the Test- and Control-snack (tAUC [95% CI]: Test = 34.57 [26.08–45.83], Control = 35.79 [27.24–47.01], Bread = 22.68 [17.28–29.78], mm · min). Mean change in satisfaction ratings was significantly higher with Test-snack compared to Bread at 60 min and with Control-snack compared to Bread at 30, 60, and 120 min (P ≤ .02, Fig. 2d). The change from baseline in subjective appetite ratings over four hours are presented in Table 5.

Table 5.

Changes in Subjective Appetite Ratings from Baseline (Time 0) Assessed Over Four Hours Through Visual Analog Scales

Time (min) Hunger
Fullness
Control snack Test snack Bread Control snack Test snack Bread
30 −13.90 (−27.59 to −1.67) −24.19 (−39.59 to −10.49) −13.14 (−26.33 to −1.32) 38.15 (25.64–51.89) 39.49 (26.64–53.64) 17.01 (6.68–28.33)
60 −12.86 (−27.43 to 0.06) −12.19 (−27.14 to 1.02) −9.98 (−23.76 to 2.28) 32.42 (22.05–43.67) 39.65 (28.56–51.67) 17.10 (8.15–26.79)
90 −5.33 (−15.39 to 3.86) −19.41 (−31.17 to −8.70) −2.99 (−12.53 to 5.75) 26.59 (16.47–37.59) 33.93 (23.07–45.74) 15.70 (6.68–25.48)
120 0.39 (−10.52 to 10.24) −10.39 (−22.87 to 0.83) 5.68 (−4.24 to 14.66) 26.07 (16.31–36.65) 30.62 (20.38–41.72) 10.12 (1.89–19.01)
180 2.44 (−10.12 to 13.57) −2.22 (−15.61 to 9.63) 11.95 (1.10–21.63) 12.87 (3.75–22.78) 15.25 (5.93–25.39) 3.58 (−4.48 to 12.30)
240 20.55 (6.97–32.17) 7.23 (−8.80 to 20.92) 26.82 (14.68–37.25) 6.07 (−3.51 to 16.61) 7.67 (−2.24 to 18.59) −1.08 (−9.79 to 8.45)
  Prospective intake Satisfaction
30
−24.03 (−35.00 to −13.94)
−21.38 (−32.40 to −11.28)
−6.56 (−15.78 to 1.94)
33.77 (20.98–47.91)
20.34 (8.38–33.61)
7.95 (−2.27 to 19.23)
60
−16.65 (−27.43 to −6.78)
−19.16 (−30.45 to −8.84)
−2.28 (−11.52 to 6.20)
29.41 (19.01–40.70)
28.66 (17.87–40.43)
11.48 (2.56–21.16)
90
−15.98 (−26.47 to −6.36)
−19.20 (−30.26 to −9.08)
−0.16 (−9.01 to 7.99)
23.63 (12.88–35.39)
16.04 (5.53–27.59)
8.69 (−0.69 to 18.94)
120
−8.76 (−19.12 to 0.71)
−18.62 (−30.23 to −8.05)
1.94 (−7.09 to 10.21)
19.86 (9.56–31.13)
16.03 (5.62–27.45)
2.07 (−6.58 to 11.52)
180
−1.60 (−11.29 to 7.25)
−7.98 (−18.42 to 1.55)
6.24 (−2.40 to 14.14)
10.81 (1.99–20.39)
7.04 (−1.80 to 16.66)
−1.34 (−9.10 to 7.08)
240 5.17 (−5.67 to 14.90) 4.32 (−6.92 to 14.39) 13.70 (4.10–22.35) 3.48 (−6.24 to 14.20) 0.17 (−9.51 to 10.87) −8.03 (−16.58 to 1.38)

Values are least square means (95% confidence intervals) in mm.

Discussion

The results of this study are consistent with our hypothesis that Test-snack formulated with ingredients and processes to slow carbohydrate digestion would lower the glycemic response compared to Control-snack. Over a 2-h period, Test-snack reduced the postprandial glycemic response compared to Control-snack having the same amount of total carbohydrates but lacking some of the components that slow starch digestion and absorption. Although Test-snack and Bread had the same amount of avCHO, the postprandial glycemic response was lower with Test-snack compared to Bread. However, similar to Test-snack, Bread lowered the glycemic response compared to Control-snack. The differences between the Test-snack, Control-snack, and Bread conditions in the insulin response followed a pattern similar to the glucose response except that there was no difference between Test-snack and Bread. The glucose concentrations peaked at 45 min under all three conditions, but Test-snack elicited a significantly lower response than Control-snack and Bread.

Test-snack contained 24 g of avCHO per serving compared to 33 g in Control-snack. This 27% reduction in avCHO would be expected to reduce the glycemic response over a 2-h period in a nonlinear manner.15,16 The 2-h iAUC for the glucose response relative to that of 50 g of glucose, termed the relative glucose response (RGR), can be estimated from the glycemic index (GI) and the grams of avCHO consumed (g) following the equation:

RGR = 1.49 × GI ×(1-e-0.222g).

13, 17

From the equation, the RGR for 33 g of glucose is 77.4 (GI = 100) and that for 24 g of glucose is 61.5. Thus, the 2-h iAUC for 24 g of glucose would be expected to be 79.5% that of 33 g (20.5% reduction). In our study, the mean 2-h iAUC elicited by Test-snack was 51% that of Control-snack. A reduction of 20.5% is 433.34 mg/dL · min; however, the observed difference between Test- and Control-snack was 1074.9 mg/dL · min. Therefore, 40% of the observed difference in the glycemic response can be attributed to the difference in the avCHO; the additional 60% reduction may be attributed to the slowing of avCHO digestion in Test-snack compared to Control-snack.

Test- and Control-snack were matched for their macronutrient content but the avCHO in the Test snack was lower than the Control snack. Therefore, the two snacks were also compared with white bread with the same amount of avCHO as Test-snack. The 2-h iAUC was lower with Test-snack compared to Bread. The fat content of Test-snack was greater than the fat content of Bread. Adding 0, 5, 10, 20, and 40 g fat to a portion of white bread containing 50 g avCHO has been shown to reduce the glycemic response in a nonlinear manner over 2 h following the equation:

iAUC =(47 × e-0.0522 × g)+119.

13, 18

Test-snack had 25 g of fat per 50 g of avCHO and based on the equation may be expected to elicit a glycemic response that is 132 or 82% of the 2-h iAUC for 2.5 g of fat per 50 g avCHO in Bread. The Test-snack elicited a 2-h iAUC for glucose that was 64% of that after Bread (a 36% reduction). After adjusting for the fat content (64% divided by 0.82) results were in a value of 78% (22% reduction), which represent the glycemic response of Test-snack compared to Bread adjusted for fat, and may be attributed to the slowing of carbohydrate digestion by Test-snack.

The reduction in the serum glucose and insulin responses following consumption of Test-snack compared to the Control-snack is consistent with other studies,19–22 including a study by Peronnet et al. which showed that slowly digested starch reduces the postprandial plasma glucose and insulin concentrations in lean healthy adults. In that study,19 16 female subjects consumed a breakfast meal (biscuits) containing a high content of slowly digested starch or a meal with low content of slowly digested starch, and plasma glucose kinetics was evaluated by AUC analysis. Over a 3-h period, the mean plasma glucose concentration was significantly lower by ∼38–44% following consumption of biscuits high in slowly digested starch. The slowly digested starch ranged from 15.3 to 17 g in the high content groups compared with 0.1 g in the low content group. In our study, Test-snack had 2.4 times (Table 1) the slowly available glucose in Control-snack and produced a 51% reduction. However, the glycemic response depends upon physicochemical properties of the dietary carbohydrates. Compared to Control-snack, Test-snack had lower porosity, which may have reduced the surface area available for amylase activity and greater viscosity, which may have lowered starch gelatinization.2,9 These qualities may also be responsible for the lower peak glucose concentration and more sustained elevation in the glycemic response curve elicited by Test-snack compared to Control-snack and Bread.

The improvement in the glycemic response may occur as a result of a reduction in the blood glucose response with insulin being unchanged or a reduction in the insulin response with glucose remaining unchanged or a reduction in glucose and insulin responses. We observed a reduction in the glucose and insulin responses to the Test-snack compared to Control-snack. However, in other studies, slowly and rapidly digested starch elicited similar glycemic responses,23,24 but the insulin response, as well as the rate of exogenous glucose appearance and the rate of endogenous glucose production, reduced when the digestibility of starch was slowed. Furthermore, the glucose clearance rate also reduced, which may account for the lack of a difference in the glycemic response as glucose remains in circulation for a longer period of time following consumption of foods containing slowly digested starch.24

Interestingly, over 4 h, both Test- and Control-snack significantly increased subjective ratings of fullness and satisfaction and reduced the prospect of future consumption compared to Bread. Test-snack also reduced hunger compared to Bread. These effects were observed even though there was no difference in the glycemic response between Test-snack and Bread over 4 h, and the glycemic response was lower after consumption of Bread compared to Control-snack. There were no significant differences in the appetite ratings over 4 h between Test- and Control-snack, despite the difference in the glycemic response following their consumption. However, Test- and Control-snack were similar in their energy content, whereas Bread had lower energy content. Nevertheless, studies that have evaluated the effect of the glycemic response on satiety by comparing foods with low or high glycemic indices have produced inconsistent results.25–28

The study is limited in that techniques to enable calculation of glucose kinetics were not used in this study, which would have provided a better understanding of the differences in the serum glucose excursions. Furthermore, only subjective ratings of appetite were assessed. Quantifying caloric intake through a food intake test would have corroborated the results.

In conclusion, including ingredients and processes to slow carbohydrate digestion and absorption in a snack reduces the glycemic and insulinemic responses compared to a product without these components. Slowing of starch digestion influences subjective appetite ratings independent of the glycemic response. Foods designed to slow starch digestion can help consumers meet their need to moderate the postprandial glycemic response.

Acknowledgments

The study is supported, in part, by the National Institutes of Health under an award (T32 A T004094) from the National Center for Complementary and Integrative Health and 1U54 GM104940 from the National Institute of General Medical Sciences of the National Institutes of Health, which funds the Louisiana Clinical and Translational Science Center. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health or official positions or policies of PepsiCo, Inc.

Authors' Contributions

C.J.R. helped design the study, drafted the article, and had final authority to determine its content. F.L.G. supervised in the designing of the study and the conduct of the study. Y.P., J.J., and Y.C. conceived of the study and assisted in designing the study. M.N. developed and produced the test- and control clusters. W.D.J., S.L., and D.Z. performed the statistical analyses. All coauthors reviewed and approved the final version of the article.

Author Disclosure Statement

Y.P., M.N., J.J., and Y.C. are employees of PepsiCo Inc. The Pennington Biomedical Research Center received the grant to conduct the study. C.J.R., W.D.J., S.L., D.Z., and F.L.G. have no conflicts of interest to report.

Funding Information

The trial was funded by PepsiCo Global R&D Nutrition Sciences.

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