Hong Kong is similar to other affluent countries with the continued rise in prevalence in obesity and diabetes. A popular concept introduced by Jenkins et al. (Reference Jenkins, Wolever and Taylor1) known as the glycaemic index (GI) has been of potential benefit. A substantial number of epidemiological and interventional studies have reported beneficial associations of lower-GI diets across a wide spectrum of pathophysiological conditions, including diabetes, CVD, obesity and certain forms of cancer(Reference Aziz2). The scientific literature also shows that the metabolic effects of low-GI diets acutely induce weight loss, lower fasting glucose and insulin levels, reduce TAG levels and improve blood pressure(Reference Radulian, Rusu and Dragomir3).
The GI is a system for classifying carbohydrate-containing foods according to glycaemic response. GI is defined as the incremental area under the blood glucose response curve (IAUC) after a standard amount of a control food (either white bread or glucose) is consumed(Reference Jenkins, Wolever and Taylor1). The GI of a specific food or meal is determined primarily by the nature of the carbohydrate consumed and by other dietary factors that affect nutrient digestibility or insulin secretion. The GI of foods varies significantly due to factors such as particle size, cooking and food processing, other food components (for example, fat, protein, dietary fibre) and starch structure(Reference Bjorck, Granfeldt and Liljeberg4). Consequently, there is considerable variation in the GI of the same food manufactured in different countries. Previous studies on GI, which is widely used and endorsed by the FAO/WHO(5), have been conducted mainly in Western countries.
There is persuasive evidence that GI is especially important for individuals with diabetes. High-glycaemic diets have been linked with higher insulin levels and an elevated risk of developing diabetes(Reference Liese, Schulz and Fang6, Reference Hodge, English and O'Dea7). Two mechanisms have been suggested whereby intake of high-GI carbohydrates may increase the risk of type 2 diabetes by overstimulating insulin secretion or contributing to pancreatic β-cell dysfunction which can result in impaired glucose tolerance and eventually type 2 diabetes(Reference Hodge, English and O'Dea7, Reference Barclay, Flood and Rochtchina8).
Publication of international GI values is needed for various ethnic food groups to ensure a comprehensive list is available to utilise in practice. A recent review of GI values published to date lists 2487 different items across a range of globally produced food groups and brands(Reference Atkinson, Foster-Powell and Brand-Miller9). However, the vast majority of published GI values are Australasian, British or Canadian in origin, with some Danish, French and Swedish values. There are currently few published GI values for Chinese foods. The aim of the present study is to provide reliable values of GI of some common foods consumed in Hong Kong including Chinese foods.
Experimental methods
Subjects
A total of twenty-three healthy subjects (three male and twenty female) were recruited to take part in the study. The subject characteristics are shown in Table 1. Subjects were recruited through email posters distributed at The Chinese University of Hong Kong, the same methodology previously used by UK researchers(Reference Henry, Lightowler and Strik10). Exclusion criteria were as follows: age < 18 or>40 years; BMI ≥ 23 kg/m2; fasting blood glucose value>6·1 mmol/l; and with known history of diabetes or impaired glucose tolerance. Ethical approval for the study was obtained from the respective university's research ethics committee. Subjects were given full details of the study protocol and the opportunity to ask questions. All subjects gave written informed consent before participation.
(Mean values and standard deviations for twenty-three subjects)
The present study was conducted according to the guidelines laid down in the Declaration of Helsinki and all procedures involving human subjects were approved by the Chinese University of Hong Kong, Clinical Research Ethics Committee (CRE-2007.493-T).
All anthropometric measurements were made in the fasting state. Height was recorded to the nearest 1 cm using a physician beam measure (Seca 220; Seca, Hamburg, Germany) with subjects wearing no shoes. Body weight was recorded to the nearest 0·1 kg using the Seca 220, wearing light clothing and no shoes. BMI was calculated and body fat percentage was measured using a Tanita analyser (TBF-410; Tanita, Tokyo, Japan). Characteristics of the subjects are shown in Table 1.
Study protocol
The protocol used was adapted from that described by Wolever et al. (Reference Wolever, Jenkins and Jenkins11) and Brouns et al. (Reference Brouns, Bjorck and Frayn12), and is in line with procedures recommended by the FAO/WHO(5). For each test food, tests were repeated in ten subjects. On the day before a test, subjects were asked to restrict their intake of alcohol- and caffeine-containing drinks and to restrict their participation in intense physical activity. Subjects were also told not to eat or drink after 21.00 hours the night before a test, although water was allowed in moderation.
Test foods
A number of different foods were tested, including breads, cereals and noodles. These foods represent a diverse range of foods commonly consumed in Hong Kong. All foods were tested in equivalent available carbohydrate amounts (50 g) and compared with a reference food (glucose). Available carbohydrate and fibre values were provided by the manufacturers. Table 2 lists the composition of the test foods. All foods were tested immediately after cooking. Foods were bought and prepared on the day of testing following the manufacturers' instructions.
Composition of the ten tested foods
In accordance with FAO/WHO recommendations, subjects tested each test food once and the reference food twice in random order on separate days, with at least a 1 d gap between measurements to minimise carry-over effects. Subjects were studied in the morning after a 12 h overnight fast. Subjects consumed the reference or test foods at a comfortable pace, within 15 min. The test foods and reference food were served with 250 ml water. A further 250 ml water were given during the subsequent 2 h. Subjects were encouraged to keep physical activity to a minimum during the testing.
Blood glucose measurements
A fasting blood sample was taken at − 5 and 0 min, capillary blood was used and the reference test food was consumed immediately after this. Further blood samples were taken at 15, 30, 45, 60, 90 and 120 min after starting to eat. Blood was obtained by finger-prick using the Schutz Lancetor (Chong Lap (H.K.) Co. Ltd, Kowloon, Hong Kong). Before a finger-prick, subjects were encouraged to warm their hand to increase blood flow. Fingers were not squeezed to extract blood from the fingertip in order to minimise plasma dilution. Blood glucose was measured using a HemoCue Glucose 201+analyser (HemoCue AB, Ängelholm, Sweden). The blood glucose meters were calibrated daily using control solutions from the manufacturer.
Calculation of glycaemic index and glycaemic load
The IAUC, ignoring the area beneath the baseline, was calculated geometrically for each food (FAO/WHO)(5). The mean, standard deviation and CV of the IAUC of each subject's repeated reference food were calculated. The IAUC for each test food eaten by each subject was expressed as a percentage of the mean IAUC for the reference food eaten by the same subject: GI = (IAUC test food/IAUC reference food) × 100. The GI of each test food was taken as the mean for the whole group.
The glycaemic load (GL) of a specific serving of each food was calculated using the following equation: GL = (GI of test food × available carbohydrate in a serving of test food (g))/100. The serving size of each food was taken from manufacturers' information.
Statistical analysis
Statistical analysis was performed using SAS 9.1 (SAS Institute, Inc., Cary, NC, USA). Data are presented as means, standard deviations and standard errors. Levels of inter- and intra-individual variation of the standard (glucose) tests were assessed by determining the CV%.
Spearman's correlation coefficient (r) was used to assess the relationship between GI values and nutrient content of the test foods. Statistical significance was set at P < 0·05.
Results
The mean intra-individual CV of glycaemic responses to the two 50 g glucose standard tests for the twenty-three subjects was 13 %. The inter-individual CV in glycaemic response to the standard tests was 25 %. These values are consistent with recently reported data that low mean within-subject variation (reference CV < 30 %) is required for accuracy(Reference Wolever, Brand-Miller and Abernethy13).
The GI and GL values for all tested foods are given in Table 3. The GL of a specific serving of each food was calculated using the following equation: GL = (GI test food × weight of available carbohydrate per serving of test food (g)/100). GI values are given as means with their standard errors. For practical application, GI values are often grouped into categories as producing a low, medium or high glycaemic response: low ≤ 55; medium 56–69 inclusive; high ≥ 70(Reference Brand-Miller, Foster-Powell and Colagiuri14). All bread products fell into the high-GI category, while instant cereals were medium to high. Most noodles fell into the medium-GI category, except for Doll fried noodles, which fell into the high-GI category.
Glycaemic index (GI) and glycaemic load (GL) values for ten foods available in Hong Kong
There are several factors that may alter the GI of a food, including the presence of other macronutrients such as fat and protein. However, in the present study, there was no relationship between the GI value and the amount of protein per 50 g available carbohydrate portion (Spearman's ρ − 0·394; P = 0·130) and the amount of fat per 50 g available carbohydrate portion (Spearman's ρ 0·333; P = 0·173). This was expected, as previous findings from Wolever et al. (Reference Wolever, Katzmanrelle and Jenkins15) and Henry et al. (Reference Henry, Lightowler and Strik10) also demonstrate that the amount of protein or fat found in commonly consumed foods does not significantly affect the glycaemic response.
Discussion
The majority of GI values of foods tested in the present study compare well with previously published values of cereals in China(Reference Yang, Wang and Cui16). For example, in healthy subjects, the GI values for instant porridge (69·4 (sd 7·2)), refined wheat bread (87·9 (sd 10·2)), fresh wheat noodles (81·6 (sd 19·1)) reported in the table of GI values published in the study of Yang et al. (Reference Yang, Wang and Cui16) are similar to the values for noodles, instant cereals and breads shown in Table 3.
Rice noodles (also known as vermicelli) have been previously tested in Canadian(Reference Foster-Powell and Miller17) and Vietnamese studies(Reference Chan, Brand-Miller and Holt18). The GI value for Jianxi rice vermicelli tested in the present study was similar to the previously recorded value (56 v. 58). Taiwan vermicelli tested in the present study had a higher value and matched more closely vermicelli produced in Thailand(Reference Chan, Brand-Miller and Holt18) (68 v. 61). The relatively high GI values of these noodle products might be due to their amylopectin content(Reference Wolever19) and difference in processing conditions and ingredients used among different countries. This therefore reconfirms the need to test food products in the country of consumption(Reference Atkinson, Foster-Powell and Brand-Miller9).
A high GI value was obtained with Nestlé Vita instant porridge, 94 (se 12) and 108 (se 8) for red date and green tea flavours, respectively. Due to their high carbohydrate contents (80·4 % dry weight) and the presence of pregelatinised starch, these foods are capable of inducing significant glycaemia in normal serving sizes(Reference Chan, Brand-Miller and Holt18). With reference to the 2002 China Food Composition tables(Reference Yang, Wang and Pan20), Quaker original oatmeal has a GI value of 83; however, in the present study Quaker oatmeal with anchovies showed a lower GI value to 67 (se 5). Such differences between porridges of similar brands are most likely due to subtle differences in processing methods and/or formulations. It could be that the formation of different amounts of resistant starch could contribute to this differences in GI(Reference Aston, Gambell and Lee21). The GI values of Garden milk bar buns, Taiwan vermicelli, Sau tao Beijing noodles and some popular instant noodles (Sau tao chicken-flavoured noodles and Sichuan spicy noodles) and flavoured instant cereals had not been published previously. The present study further expands the GI database on Chinese foods.
The variability in published GI values for foods of similar description could be explained by real differences between the foods, and/or by variations in the methodology used. Food factors that can influence the GI include processing, preparation and cooking methods, the physical form of the food, type of sugars and starch in the food, presence of other macronutrients and anti-nutrients, and the ripeness or maturity of the food. The effects of several of these factors are illustrated by the findings of GI values of instant cereals in the present study and previous research(Reference Henry, Lightowler and Strik10, Reference Aston, Gambell and Lee21, Reference Henry, Lightowler and Dodwell22). For example, Quaker oatmeal with anchovies and Nestlé Vita with red date or green tea have different formulations in China, Australia and Europe because manufacturers prepare and process foods, particular cereal products, in different ways(Reference Atkinson, Foster-Powell and Brand-Miller9).
The presence of large amounts of protein or fat may significantly reduce the glycaemic response by increasing insulin secretion and slowing gastric emptying(Reference Collier, McLean and O'Dea23, Reference Nutall, Mooradian and Gannon24). However, in the present study, the effect of protein and fat was not observed across the group of foods. As expected, there was no association with fat or protein content per 50 g available carbohydrate portion of the test foods. This is consistent with previous findings of Wolever et al. (Reference Wolever, Katzmanrelle and Jenkins15) and Henry et al. (Reference Henry, Lightowler and Strik10) that demonstrated that the amount of protein or fat in commonly consumed foods does not significantly affect the glycaemic response.
A limitation of the present study is the use of varying methodology by different laboratories for the measurement and calculation of GI that also contributes to the variation seen in published GI values. Although there is a recommended standard protocol for the determination of GI(5), there is scope within this for slight variations, and an interlaboratory study has found that differences in GI of up to 18 units may in part be owing to methodological factors rather than real differences between the foods(Reference Wolever25). Such variations include the use of venous rather than capillary blood, the use of different food composition tables to calculate the required portion size, and the method used for determining the AUC(Reference Aston, Gambell and Lee21).
In conclusion, the present study has provided reliable values of GI and GL for foods commonly consumed in Hong Kong. It has also reconfirmed some of the multiple factors affecting the GI of a food, which illustrates the importance of measuring GI values of foods in the country of consumption rather than applying values from foods of a similar description or brand. In addition to this, our dataset provides GI values of several foods previously untested. Knowledge of the GI values of Chinese foods may assist in the development of better dietary advice for individuals with diabetes and obesity and will aid further research into the application of GI.
Acknowledgements
We would like to thank Science International Corporation for their support and supply of the HemoCue Glucose 201+analyser. The study was supported by the Centre for Nutritional Studies.
L. L. and G. L. undertook the assessment and data collection. D. C. carried out statistical analysis of the study. K. Y. L. analysed the data and wrote the manuscript with input from all authors. R. C., J. W., H. J. L. and C. J. K. H. participated in the conception and design of the study.
There is no conflict of interest.
