Abstract
White rice is a dominant grain-based food in Japan, but excess intake of polished rice may cause obesity. Barley is a grain-based food, similar to white rice, but it has the potential to control appetite and reduce energy intake. We investigated the effect of cooked white rice with high β-glucan barley on appetite and energy intake. The study was conducted as a randomized crossover design with twenty-one healthy Japanese women [mean ± standard deviation body mass index (BMI) 23.3 ± 0.7 kg/m2]. Subjects consumed a breakfast of cooked white rice with high β-glucan barley (BAR) or white rice (WR), followed by an ad libitum lunch and dinner. Energy intake was measured at the lunch and the dinner using plate waste. Subjects’ perception scores on hunger, fullness, satiety, and prospective food consumption were assessed using a visual analogue scale (VAS) before and after the breakfast, lunch and dinner. BAR significantly reduced the VAS scores of hunger and prospective food consumption, and increased fullness before lunch compared to WR (P = 0.032, 0.019 and 0.038, respectively). Energy intake at lunch and the cumulative energy intake (lunch + dinner) subsequent to BAR consumption were significantly lower than WR (P = 0.035 and 0.021, respectively). BAR was able to modulate appetite and reduce energy intake. The combination of white rice with high β-glucan barley could play a beneficial role in preventing and treating obesity and other obesity-related metabolic diseases.
Keywords: Barley, β-glucan, Fibre, Appetite, Energy intake, Obesity
Introduction
The prevalence of being overweight or obese is increasing at an alarming rate in developed and developing countries throughout the world and epidemiological studies indicate that these are important risk factors for diabetes, cardiovascular disease, cancer and premature death [1].
Japanese and other Asian food, combining white rice (staple food) with side dishes, are characterized as low-fat and high-carbohydrate diets. A low-fat diet has beneficial effects for the prevention or treatment of diseases related to insulin resistant syndrome [2], however, several studies have reported that a traditional diet based on white rice may have adverse effects on obesity in Korean adults [3], Hispanic elders [4] and Japanese women aged 18 to 20 years [5].
Barley is a grain-based food, similar to white rice, but it has the potential to control cholesterol [6, 7], blood glucose [8], appetite and reduce energy intake [9, 10]. β-glucan, viscous dietary fibres present in barley, creates gastric distension and delays gastric emptying [11]. It also promotes the release of appetite-related hormones and enhances the signalling of fullness [12]. It has been reported that bread or a beverage containing barley β-glucan concentrate powder reduces energy intake. However, it has not been elucidated whether rice type food containing grains of high β-glucan barley reduces energy intake.
The aim of this study, therefore, was to investigate the effect of BAR on appetite and energy intake.
Materials and Methods
Subjects
Twenty-two healthy Japanese women were recruited for this study. Eligibility was determined through the following inclusion criteria: 1) age range of 30–49 y; 2) BMI > 22 kg/m2 and <25 kg/m2; 3) not smokers; 4) not dieting to gain or lose weight; 5) not in athletic training; 6) not pregnant or breastfeeding; 7) not taking medications known to affect appetite; 8) regularly ate three meals per day; 9) had no food allergies or extreme dislikes for the foods in the test meals. Any subject with a tendency toward a diagnosable eating disorder (anorexia nervosa or bulimia) was also excluded: this was tested using the Eating Attitudes Test (EAT-26) [13, 14]. This study was conducted according to the guidelines laid down in the Declaration of Helsinki and all procedures involving human subjects were approved by the Oriental Ueno Medical Examination Centre. Written informed consent was obtained from all subjects.
Foods
Two different kinds of rice were used: BAR (retort packed barley products) and WR. Retort packed barley product (Omugi Seikatsu, Omugi Gohan, Otsuka Pharmaceutical Co., Ltd., Tokyo, Japan), containing high β-glucan barley, combined with white rice was prepared by microwave cooking on 600 W for 2 min. WR was boiled using a rice cooker for about 50 min. BAR provided 5.3 g of dietary fibre, including 2.9 g of β-glucan per serving. WR didn’t contain dietary fibre or β-glucan. The energy value of breakfast was 1,048 kJ, which is about 15 % of the estimated energy requirement for healthy Japanese women [15]. Omelette was garnished with BAR or WR to adjust the total energy value to 1,048 kJ. Omelette (Kewpie Corporation, Japan) was prepared by microwave cooking on 500 W for 3 min. Nutrient compositions and energy values of breakfast are presented in Table 1. Proteins, fats, carbohydrates, dietary fibre and energy content were measured using the Kjeldahl, acid disintegration, subtraction, enzymatic digestion and calculation methods, respectively at the Japan Food Research Laboratory, Tokyo, Japan. β-glucan amounts were determined using Beta-Glucan Assay kits (Megazyme International Ireland Ltd.).
Table 1.
BAR | WR | Omelette | |
---|---|---|---|
Serving (g) | 150 | 147 | 42 |
Proteins (g) | 5.1 | 3.4 | 3.5 |
Fats (g) | 0.9 | 0.4 | 1.1 |
Carbohydrates (g) | 42.9 | 48.1 | 4.0 |
Dietary fibre (g) | 5.3 | – | – |
β-glucans (g) | 2.9 | – | – |
Energy content (kJ) | 879 | 879 | 169 |
BAR cooked white rice with β-glucan enriched barley, WR white rice
The test meals, consisting of six dishes, were served for lunch and dinner. Lunch consisted of 1) vegetable sandwiches, 2) roast beef sandwiches, 3) spaghetti with ham and mushroom, 4) spaghetti with tomato sauce, 5) baked fish and scallops, or 6) roast pork with demi-glaze sauce. Dinner consisted of 1) bonito carpaccio, 2) steamed vegetables, 3) spaghetti with spinach and bacon, 4) spaghetti Bolognese, 5) sauté marlin or 6) sautéed chicken with wine vinegar sauce. The dishes were prepared on each test day by a local hotel restaurant and were served on different plates in amounts of two servings. The content of each plate was known in weight and energy value, and the partially consumed plate was weighed to calculate the energy intake using Exceleiyou (Version 6.0, KENPAKUSHA, Japan). Nutrient compositions and energy values per 100 g of each food are presented in Table 2.
Table 2.
Foods | Proteins (g) |
Fats (g) |
Carbohydrates (g) |
Dietary fibre (g) |
Energy (kJ) |
---|---|---|---|---|---|
Lunch | |||||
Vegetable sandwich | 10.0 | 13.1 | 21.1 | 1.3 | 1,022 |
Roast beef sandwich | 9.4 | 12.5 | 19.4 | 1.2 | 962 |
Spaghetti with ham and mushroom | 5.5 | 5.0 | 20.3 | 1.9 | 624 |
Spaghetti with tomato sauce | 3.2 | 1.2 | 17.3 | 1.5 | 399 |
Baked fish and scallop | 16.7 | 8.8 | 0.9 | 0.1 | 659 |
Roast pork with demi-glaze sauce | 13.2 | 5.0 | 1.9 | 0.4 | 472 |
Dinner | |||||
Bonito carpaccio | 19.3 | 4.8 | 5.1 | 0.4 | 597 |
Steamed vegetable | 1.3 | 5.9 | 9.9 | 1.8 | 399 |
Spaghetti with spinach and bacon | 5.0 | 3.4 | 19.9 | 1.5 | 587 |
Spaghetti Bolognese | 4.7 | 2.5 | 17.9 | 1.2 | 494 |
Saute Marlin | 11.8 | 3.5 | 4.5 | 0.4 | 451 |
Sauteed chicken with wine vinegar sauce | 13.8 | 5.1 | 1.0 | 0.2 | 462 |
Study Design
The study was a randomized crossover design with two different kinds of rice matched for energy content. Taste, odour and firmness of the two kinds of test rice were almost the same and subjects were unaware of treatments, however the two kinds of test rice were of different colour. We conducted the study on two separate days with a 7-day washout period. The night before test day, subjects were instructed to consume a standardized dinner in the evening before 2,100 h and were then required to be fasting until they reached the hotel restaurant. Upon arrival on the test day, subjects recorded the VAS regarding their hunger, fullness, satiety and prospective food consumption [15, 16]. After completing the VAS questionnaire, subjects consumed 150 g of BAR and 42 g of omelette, or 147 g of WR and 42 g of omelette at 0900 h. At 1,300 h, subjects were given lunch and at 1,700 h, subjects were given dinner. Subjects had 15 min to consume the entire breakfast, 20 min to consume an ad libitum lunch and dinner until ‘comfortable satisfaction’ [15, 16]. All subjects consumed foods within the allotted time. Subjects consumed all meals in a personal cubicle to deter conversation about the test meal and visualization of consumption. Subjects completed the VAS questionnaires regarding their hunger, fullness, satiety and prospective food consumption before and after all three eating occasions: breakfast, lunch and dinner. Subjects remained in the hotel’s waiting room for the duration of the study period on each test day. Between eating occasions, subjects were limited to sedentary activity, i.e. reading or watching TV.
Statistical Analyses
Statistical analyses were performed using SAS software, version 9.3 (SAS Institute, Cary, NC, USA). The primary outcome variables were the cumulative energy intake (lunch + dinner), and subjects’ perception scores on hunger, fullness, satiety and prospective food consumption derived from the VAS scores recorded in subject questionnaires before and after each eating occasion. The secondary outcome variables were energy intakes at the lunch and dinner, and each of the VAS scores time points. Energy intakes were analyzed using an analysis of variance (ANOVA) model suited to a two-period, two-treatment, and two-sequence crossover design. Each of the VAS scores time points was analyzed using paired t-tests (2-tailed). Statistical significance was defined at P < 0.05. All data are presented as means ± standard deviation. We estimated that twenty subjects would provide 90 % power to detect a difference of 808 kJ of the cumulative energy intake (lunch + dinner) between groups, assuming a standard deviation of 1,017 kJ [9].>
Results and Discussion
Subjects
The subject flow is summarised in Fig. 1. Twenty-one healthy Japanese women completed the study. The mean age was 41.9 ± 4.6 y and BMI was 23.3 ± 0.7 kg/m2. One subject was excluded because she was not able to eat the BAR in time.
Energy Intake and Evaluation of Appetite Score
Energy intakes at lunch and dinner are shown in Fig. 2. Energy intakes at lunch were significantly lower after BAR consumption (3,061 ± 681 kJ) compared with WR consumption (3,280 ± 617 kJ) (P = 0.035). Energy intakes at dinner did not differ significantly after the different breakfasts. The cumulative energy intakes (lunch + dinner) were significantly lower after BAR consumption (4,963 ± 1,209 kJ) compared with WR consumption (5,374 ± 1,079 kJ) (P = 0.021).
The mean appetite scores of all subjects after consumption of BAR and WR are shown in Fig. 3. Hunger score was significantly lower after BAR consumption compared with WR consumption at 240 min (P = 0.032). Fullness score was significantly higher after BAR consumption compared with WR consumption at 240 min (P = 0.038). Satiety score was significantly higher after BAR consumption compared with WR consumption at 60 min and 480 min (P = 0.041 and 0.027, respectively). Prospective food consumption score was significantly higher after BAR consumption compared with WR consumption at 0, 180 and 240 min (P = 0.042, 0.013 and 0.019, respectively).
Data showed that BAR was able to increase fullness, and decrease hunger and prospective food consumption before lunch, compared to WR. Additionally, BAR was able to reduce energy intakes at the subsequent ad libitum lunch and the cumulative energy intake (lunch + dinner) after breakfast, compared to WR.
Our results are consistent with previous studies showing that barley β-glucan modulates appetite and energy intakes [9, 10]. Healthy subjects consuming a beverage containing barley β-glucan reported greater fullness and satiety over 3 h post-breakfast and reduced energy intake at lunch and over the rest of the day compared with fibre-free beverages [9]. Additionally, healthy subjects consuming β-glucan-enriched bread reported greater fullness and satiety, and reduced energy intake at a lunch meal compared with wheat bread [10]. In contrast, healthy subjects consuming barley β-glucan–enriched biscuits reported greater fullness and satiety over 2 h post-breakfast following a midmorning snack compared with wheat biscuits, although ad libitum energy intake was not changed at lunch [17]. It has also been reported that consumption of barley bars containing 1.2 g of barley β-glucan did not change appetite and energy intake when compared with oat bars containing 0.3 g of oat β-glucan [18]. These studies have shown contradictory results on appetite and energy intake [9, 10, 17, 18] which may be due to differences in the amount and types of barley β-glucan used in each study.
Barley β-glucan may modulate appetite through various mechanisms: it has been found to delay gastric emptying and slow the glycemic response [19]. Barley β-glucan is thought to be hydrated in the stomach, and could thereby increase gastric distension. Gastric distension would lead to early satiation and is thus referred to as a volumetric response [20]. In our previous study, BAR was able to reduce the glycemic response and showed the second meal effect [21]. Since it was reported that the glycemic response is influenced by gastric emptying [19], delay of gastric emptying by BAR may be associated with mechanisms controlling appetite in our study. In the current study, appetite was measured through subjects completing VAS questionnaires. Appetite may also be measured objectively by determining concentrations of appetite-related hormones, such as glucagon-like peptide-1(GLP-1), peptide YY(PYY), leptin, ghrelin, and cholecystokinin [11, 22]. Barley β-glucan may influence the concentrations of circulating appetite-related hormones. Consumption of viscous and fermentable fibres has been shown to increase the secretion of appetite-related hormones: pancreatic polypeptide, PYY, GLP-1 and ghrelin in humans [9, 10, 23]. The effects of barley on appetite-related hormones were not investigated in this study so we are unable to report their effect on appetite control in our study.
Others have proposed that short chain fatty acids produced during fermentation of dietary fibre in the colon may promote synthesis and secretion of GLP-1 [24]. In our previous study, we detected increasing breath hydrogen excretion in the 360 min after ingestion of BAR, which is reported to be a sign of colonic fermentation by intestinal bacteria. Since the control of appetite by BAR was seen before lunch, the results of this study may not be relative to colonic fermentation. Colonic fermentation may not to be related to the control of appetite by BAR because the rise in breath hydrogen excretion was not seen before 240 min in our previous study (unpublished results) and another study [20].
There were several limitations to the present study. Participants were not blinded to the test rice that they received. It is possible that participants imagined the effect of the test rice on their appetite, and this may have affected appetite scores. However, participants were not informed of the feature of the test rice, therefore, participants were unlikely to have exhibited a socially desirable response bias. If such a bias was affecting results, it is expected that the difference in the VAS scores between treatments would have remained constant over time or perhaps be largest immediately after BAR ingestion.
Appetite-related hormone concentrations were not evaluated in our study because venesection might affect satiety and energy intake in some subjects: the presence of a cannula in the vein may produce a physiological effect [10]. In order to reveal the mechanism of BAR in modulating appetite and energy intakes, it is necessary to evaluate these hormone concentrations in another trial.
Adverse Events
No adverse events related to the consumption of BAR were observed throughout the study according to the daily record and an interview with a doctor.
Conclusions
This study showed that BAR was able to control appetite and reduce energy intake. The combination of white rice with high β-glucan barley could play a beneficial role in preventing and treating obesity and other obesity-related metabolic diseases.
Acknowledgments
We thank Prof. Narumi Nagai (Department of Food Science and Nutrition, University of Hyogo) for her advice regarding the setting of study conditions. The present study was financially supported by Otsuka Pharmaceutical Co., Ltd., Japan.
Conflict of Interest
None of the authors had a conflict of interest.
Abbreviations
- ANOVA
Analysis of variance
- BAR
Cooked white rice with high β-glucan barley
- BMI
Body mass index
- EAT
Eating attitudes test
- GLP-1
Glucagon-like peptide-1
- PYY
Peptide YY
- SD
Standard deviation
- VAS
Visual analogue scale
- WR
White rice
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