Displaying publications 1 - 20 of 48 in total

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  1. Robert SD, Ismail AA
    PMID: 19771140
    AIM: To determine the glycemic index (GI) of Malaysian wild honey and Australian honey.

    METHODS: Eight healthy volunteers (5 men and 3 women, aged 24-44 y, with normal BMI) were served 50 g carbohydrate portions of two varieties of honey or the reference food (glucose, tested 3 times), on separate occasions. Capillary blood glucose was measured fasting and at 15, 30, 45, 60, 90 and 120 min after the start of the test meals. The GI was calculated by expressing each subject's incremental area under the blood glucose curve (AUC) after honey as a percentage of his or her mean AUC after glucose.

    RESULTS: The results showed that the mean AUC of the Malaysian and Australian honeys, 174+/-19 and 158+/-16 mmolxmin/l, respectively, did not differ from each other but were significantly less than that after glucose, 259+/-15 mmolxmin/l (P<0.001). The mean GI of Malaysian wild honey, 65+/-7, did not differ from that of Australian honey, 59+/-5, but both were significantly less than the GI of glucose, 100 (P<0.001).

    CONCLUSIONS: We conclude that both Malaysian wild honey (GI=65+/-7) and Australian honey (GI=59+/-5) are intermediate GI foods.

    Matched MeSH terms: Glycemic Index*
  2. Tyng CF, Fui LF, Abdul Latip M, Kumar V
    MyJurnal
    ABSTRACTS FOR THE 1ST INTERNATIONAL BORNEO HEALTHCARE AND PUBLIC HEALTH CONFERENCE AND 4TH BORNEO TROPICAL MEDICINE AND INFECTIOUS DISEASE CONGRESS. New Frontiers in Health: Expecting the Unexpected. Held at the Faculty of Medicine and Health Sciences, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia. 3rd-5th September 2019
    Introduction: Rice is classified as waxy, very low, low, intermediate and high based on its amylose content (AC). Most people prefer to consume intermediate AC rice because of its texture which tends to appear in between low (moist and sticky) and high (dry and less tender). Although rice with high AC appears dry and less tender, it usually possesses a low glycemic index (GI) i.e. a slower increase in blood glucose level after the consumption of food. Consequently, people with diabetes are recommended to eat low and intermediate GI foods. Although, rice is generally categorised as a high GI staple food there are some exceptions to it. For example, the premium Basmati aromatic rice possesses a low GI and is recommended for diabetic patients. The study aimed to identify Sabah’s traditional rice germplasm with low GI via AC that may be used as a replacement to commercial rice varieties.
    Methods: A total of 110 traditional rice samples were obtained from rice fields located in the Tuaran and Kota Belud districts of Sabah. The AC in each sample was determined via I:KI method (ISO AACC-6647).
    Results: We found that 46 (41.8%), 51 (46.4%), 7 (6.4%) and 6 (5.5%) Sabah’s traditional rice samples possess high, intermediate, low and very low AC, respectively. The intermediate AC type is predominant in Sabah’s traditional rice germplasm as it is the preferred rice texture by the general population. We have identified 46 rice germplasm with high AC type (i.e. with low GI value). The AC content in these is comparable to the Basmati rice and may be suitable candidates for diabetic patients.
    Conclusion: The present study showed Sabah’s traditional rice germplasm has the potential to be promoted as a low GI rice cultivar based on AC for diabetic patients in order to prevent spikes in blood glucose levels while still enjoying the staple food
    Matched MeSH terms: Glycemic Index
  3. Siner A, Sevanesan MS, Ambomai T, Abd Wahab Z, Lasem L
    BMC Res Notes, 2020 Aug 28;13(1):404.
    PMID: 32859257 DOI: 10.1186/s13104-020-05250-8
    OBJECTIVE: Glycaemic Index (GI) ranks the body's response to carbohydrate content in food such that high GI food increases postprandial blood glucose levels. One of the popular drinks at food and beverage outlets is a drink made from calamansi, a citrus that is believed not to induce an increase in blood glucose levels. In this non-randomised single-blind (participants) study, capillary blood from 10 healthy males were sampled following consumption of either glucose or the calamansi drink. The blood glucose measurements were then used to calculate the GI for the drink.

    RESULTS: The GI of the calamansi drink tested was calculated as 37, a value within the range of low GI foods. Trial registration Clinical Trials identifier NCT04462016; Retrospectively registered on July 1, 2020.

    Matched MeSH terms: Glycemic Index
  4. Saifullah, R., Abbas, F.M.A., Yeoh, S.Y., Azhar, M.E.
    MyJurnal
    Banana pulp (BP) noodles prepared by partial substitution of wheat flour with green Cavendish banana pulp flour were assessed pH, color, tensile strength and elasticity, and in-vitro hydrolysis index (HI) and estimated glycemic index (GI). BP noodles had lower L* (darker) and b* values (less yellow) but higher tensile strength and elasticity modulus than control noodles. Following an in-vitro starch hydrolysis studies, it was found that GI of BP noodles was lower than control noodles. Partial substitution of green banana pulp into noodles may be useful for controlling starch hydrolysis of yellow noodles.
    Matched MeSH terms: Glycemic Index
  5. Mohd Yusof BN, Firouzi S, Mohd Shariff Z, Mustafa N, Mohamed Ismail NA, Kamaruddin NA
    Int J Food Sci Nutr, 2014 Mar;65(2):144-50.
    PMID: 24517860 DOI: 10.3109/09637486.2013.845652
    This review aims to evaluate the effectiveness of low glycemic index (GI) dietary intervention for the treatment of gestational diabetes mellitus (GDM), specifically from the Asian perspective. A systematic review of the literature using multiple databases without time restriction was conducted. Three studies were retrieved based upon a priori inclusion criteria. While there was a trend towards improvement, no significant differences were observed in overall glycemic control and pregnancy outcomes in GDM women. However, a tendency for lower birth weight and birth centile if the intervention began earlier was noted. Low GI diets were well accepted and had identical macro-micronutrient compositions as the control diets. However, due to genetic, environment and especially food pattern discrepancies between Western countries and Asians, these results may not be contributed to Asian context. Clearly, there are limited studies focusing on the effect of low GI dietary intervention in women with GDM, particularly in Asia.
    Matched MeSH terms: Glycemic Index*
  6. Aziah AA, Min WL, Bhat R
    Int J Food Sci Nutr, 2011 Sep;62(6):559-67.
    PMID: 21534889 DOI: 10.3109/09637486.2011.562883
    Sponge cake prepared by partial substitution of wheat flour with mango pulp and mango peel flours (MPuF and MPeF, respectively) at different concentrations (control, 5%, 10%, 20% or 30%) were investigated for the physico-chemical, nutritional and organoleptic characteristics. Results showed sponge cake incorporated with MPuF and MPeF to have high dietary fiber with low fat, calorie, hydrolysis and predicted glycemic index compared with the control. Increasing the levels of MPuF and MPeF in sponge cake had significant impact on the volume, firmness and color. Sensory evaluation showed sponge cake formulated with 10% MPuF and 10% MPeF to be the most acceptable. MPeF and MPuF have high potential as fiber-rich ingredients and can be utilized in the preparation of cake and other bakery products to improve the nutritional qualities.
    Matched MeSH terms: Glycemic Index*
  7. Brand-Miller J, Atkinson F, Rowan A
    Nutrients, 2013 Jan;5(1):23-31.
    PMID: 23306187 DOI: 10.3390/nu5010023
    Powdered milk products for children (Growing Up Milk Powders or GUMPs) containing added carbohydrates such as glucose and sucrose are now well established in parts of Asia. We surveyed GUMPs in Malaysia and Indonesia to determine the content of added carbohydrates. The ingredient lists and nutrition information panels were used to calculate the percentage of declared carbohydrates contributed by added carbohydrates and a subset of seven products was tested for their glycemic index (GI) and insulin responses in healthy adults. The glycemic load for each product was calculated. In total, 58 products (n = 24 in Malaysia and n = 34 in Indonesia) were surveyed. Added carbohydrate content (excluding fibre) ranged from 0 to 21.5 g per serve. Milk powders without added sources of carbohydrate had similar GI values to standard liquid whole milk. Products containing maltodextrins, corn or glucose syrups increased the GI by more than 2-fold, and glycemic load (GL) by 7-fold compared to milk powders with no added carbohydrates. Insulin responses were significantly but not strongly correlated with glucose responses (r = 0.32, p < 0.006). Children's milk powders containing higher levels of added carbohydrate ingredients elicit higher glucose and insulin responses than liquid or powdered whole milk.
    Matched MeSH terms: Glycemic Index/physiology
  8. Ng AWR, Loh KK, Gupta N, Narayanan K
    Clin Nutr ESPEN, 2019 10;33:39-41.
    PMID: 31451273 DOI: 10.1016/j.clnesp.2019.07.014
    BACKGROUND & AIMS: Consumption of sugars in food and beverages has increased at an alarming rate. While excessive daily sugar intake has been well-associated as the onset of medical complications, additional sugars are still used in manufactured food products just to satisfy the consumers' needs. Hence, there is a need to develop sugar replacers that have low glycemic response without compromising the organoleptic characteristics of food products. This study aimed to determine if SUITENA™, a novel sweetener containing erythritol, xylitol, and Stevia, has low glycemic response upon consumption by human subjects.

    METHODS: Six human subjects were randomly chosen and were healthy at the point of experimentation. Capillary blood was collected via finger-prick method to monitor the glycemic response of every individual for 90 min after ingestion of sugar solution.

    RESULTS: It was found that the mean area under the curve (AUC) of the dextrose standard was 11.8-fold higher (p 

    Matched MeSH terms: Glycemic Index*
  9. Jenkins DJA, Dehghan M, Mente A, Bangdiwala SI, Rangarajan S, Srichaikul K, et al.
    N Engl J Med, 2021 04 08;384(14):1312-1322.
    PMID: 33626252 DOI: 10.1056/NEJMoa2007123
    BACKGROUND: Most data regarding the association between the glycemic index and cardiovascular disease come from high-income Western populations, with little information from non-Western countries with low or middle incomes. To fill this gap, data are needed from a large, geographically diverse population.

    METHODS: This analysis includes 137,851 participants between the ages of 35 and 70 years living on five continents, with a median follow-up of 9.5 years. We used country-specific food-frequency questionnaires to determine dietary intake and estimated the glycemic index and glycemic load on the basis of the consumption of seven categories of carbohydrate foods. We calculated hazard ratios using multivariable Cox frailty models. The primary outcome was a composite of a major cardiovascular event (cardiovascular death, nonfatal myocardial infarction, stroke, and heart failure) or death from any cause.

    RESULTS: In the study population, 8780 deaths and 8252 major cardiovascular events occurred during the follow-up period. After performing extensive adjustments comparing the lowest and highest glycemic-index quintiles, we found that a diet with a high glycemic index was associated with an increased risk of a major cardiovascular event or death, both among participants with preexisting cardiovascular disease (hazard ratio, 1.51; 95% confidence interval [CI], 1.25 to 1.82) and among those without such disease (hazard ratio, 1.21; 95% CI, 1.11 to 1.34). Among the components of the primary outcome, a high glycemic index was also associated with an increased risk of death from cardiovascular causes. The results with respect to glycemic load were similar to the findings regarding the glycemic index among the participants with cardiovascular disease at baseline, but the association was not significant among those without preexisting cardiovascular disease.

    CONCLUSIONS: In this study, a diet with a high glycemic index was associated with an increased risk of cardiovascular disease and death. (Funded by the Population Health Research Institute and others.).

    Matched MeSH terms: Glycemic Index*
  10. Henry CJ, Quek RYC, Kaur B, Shyam S, Singh HKG
    Nutr Diabetes, 2021 01 06;11(1):2.
    PMID: 33414403 DOI: 10.1038/s41387-020-00145-w
    Current international tables published on the glycaemic index (GI) of foods represent valuable resources for researchers and clinicians. However, the vast majority of published GI values are of Western origin, notably European, Australian and North American. Since these tables focus on Western foods with minimal inclusion of other foods from non-Western countries, their application is of limited global use. The objective of this review is to provide the GI values for a variety of foods that are consumed in non-Western countries. Our review extends and expands on the current GI tables in an attempt to widen its application in many other regions of the world.
    Matched MeSH terms: Glycemic Index*
  11. Florentino R, Tee ES, Poh BK
    Asia Pac J Clin Nutr, 1999 Dec;8(4):291-9.
    PMID: 24394232
    The 3-day seminar-workshop on 'Food-based Dietary Guidelines and Nutrition Education' was held from 22-24 July 1998 in Kuala Lumpur, Malaysia to present the latest scientific information on nutrition and health and to discuss its impact on the rationale and process for the development of food-based dietary guidelines (FBDG). The first two sessions were devoted to a review of the current information on the relation between lifestyle factors and chronic diseases, particularly obesity; the present health status and food consumption patterns in Malaysia; the current consensus on carbohydrates and fats and oils and the importance of considering the glycemic index of foods; and the importance of micronutrients in health and disease. The third and fourth sessions dealt with the rationale of FBDG and the process of their development, drawing from the 1990 FAO/WHO Consultation on Development of FBDG and the experience in the Philippines and in Europe. The importance of effective dissemination of nutrition messages to the public was thoroughhly discussed. The workshop sessions arrived at recommendations on important issues in the development of FBDG in the region, including main research and information needs, the steps in the development of FBDG, and strategies for their dissemination.
    Matched MeSH terms: Glycemic Index
  12. Sew YS, Aizat WM, Razak MSFA, Zainal-Abidin RA, Simoh S, Abu-Bakar N
    Data Brief, 2020 Aug;31:105927.
    PMID: 32642524 DOI: 10.1016/j.dib.2020.105927
    The proteome data of whole rice grain is considerably limited particularly for rice with pigmentations such as black and red rice. Hence, we performed proteome analysis of two black rice varieties (BALI and Pulut Hitam 9), two red rice varieties (MRM16 and MRQ100) and two white rice varieties (MR297 and MRQ76) using label-free liquid chromatography Triple TOF 6600 tandem mass spectrometry (LC-MS/MS). Our aim was to profile and identify proteins related to nutritional (i.e. antioxidant, folate and low glycaemic index) and quality (i.e. aromatic) traits based on peptide-centric scoring from the Sequential Window Acquisition of All Theoretical Mass Spectra (SWATH-MS) approach. Both information dependent acquisition (IDA) and SWATH-MS run were performed in this analysis. Raw data was then processed using ProteinPilot software to identify and compare proteins from the six different varieties. In future, this proteomics data will be integrated with previously obtained genomics [1] and transcriptomics [2] data focusing on the above nutritional and quality traits, with an ultimate aim to develop a panel of functional biomarkers related to those traits for future rice breeding programme. The raw MS data of the pigmented and non-pigmented rice varieties have been deposited to ProteomeXchange database with accession number PXD018338.
    Matched MeSH terms: Glycemic Index
  13. Mohd Yusof BN, Abdul Talib R, Abdul Karim N
    Malays J Nutr, 2005;11(2):151-163.
    MyJurnal
    This experimental study was carried out to investigate the effect of eight types of commercial rice in Malaysia on blood glucose response and to determine their glycaemic index (GI) values. Ten healthy Malay volunteers (7 males, 3 females, BMI=23.6kgm-2, age=25.1years) participated in this study. The eight types of rice tested were three high fibre rice (HFR A, HFR B & HFR C), three white rice (WR D, WR E and WR F) and two fragrant rice (FR G and FR H). The subjects were required to go through the study protocol on eleven separate occasions (eight tests for the test rice samples and three repeated tests for the reference food) after an overnight fasting. Capillary blood samples were taken immediately before (0min) and 15, 30, 45, 60, 90 and 120min after consumption of the test foods. The blood glucose response was obtained by calculating the incremental area under the curve (iAUC). The GI was determined according to the standardised methodology. This study showed that out of eight types of rice tested, three (HFR B, WR E and WR F) could be categorised as having intermediate GI while the remaining five were considered high GI foods (HFR A, HFR C, WR D, FR G and FR H). The GI of HFR B (60 ± 5.8) and WR E (61 ± 5.8) were significantly lower than the reference food (glucose; GI=100) (p0.05). The GI value of the rice tested in descending order were HFR C, 87 ± 9.0 followed by HFR A (81 ± 6.7), FR G (80 ± 5.5), FR H (79 ± 7.6), WR D (72 ± 8.5), WR F (69 ± 8.3), WR E (61 ± 5.8) and HFR B (60 ± 5.8). There was no relationship between the dietary fibre content of the rice with the iAUC (r= -0.05, p=0.63) and GI values (r= -0.08, p=0.46). This shows that the GI values of the test rice were independent of the dietary fibre content of the rice. Other factors that may influence the GI value of rice include amylose content, gelatinisation process and botanical sources. The results of this study will provide useful information for dietitians and nutritionists in selecting the appropriate type of rice for the daily diet of diabetics.
    Matched MeSH terms: Glycemic Index
  14. Al-Awadi A, Grove J, Taylor M, Valdes A, Vijay A, Bawden S, et al.
    BMJ Open, 2021 10 07;11(10):e045802.
    PMID: 34620653 DOI: 10.1136/bmjopen-2020-045802
    INTRODUCTION: A Low Glycaemic Index (LGI) diet is a proposed lifestyle intervention in non-alcoholic fatty liver diseases (NAFLD) which is designed to reduce circulating blood glucose levels, hepatic glucose influx, insulin resistance and de novo lipogenesis. A significant reduction in liver fat content through following a 1-week LGI diet has been reported in healthy volunteers. Changes in dietary fat and carbohydrates have also been shown to alter gut microbiota composition and lead to hepatic steatosis through the gut-liver axis. There are no available trials examining the effects of an LGI diet on liver fat accumulation in patients with NAFLD; nor has the impact of consuming an LGI diet on gut microbiota composition been studied in this population. The aim of this trial is to investigate the effects of LGI diet consumption on liver fat content and its effects on gut microbiota composition in participants with NAFLD compared with a High Glycaemic Index (HGI) control diet.

    METHODS AND ANALYSIS: A 2×2 cross-over randomised mechanistic dietary trial will allocate 16 participants with NAFLD to a 2-week either HGI or LGI diet followed by a 4-week wash-out period and then the LGI or HGI diet, alternative to that followed in the first 2 weeks. Baseline and postintervention (four visits) outcome measures will be collected to assess liver fat content (using MRI/S and controlled attenuation parameter-FibroScan), gut microbiota composition (using 16S RNA analysis) and blood biomarkers including glycaemic, insulinaemic, liver, lipid and haematological profiles, gut hormones levels and short-chain fatty acids.

    ETHICS AND DISSEMINATION: Study protocol has been approved by the ethics committees of The University of Nottingham and East Midlands Nottingham-2 Research Ethics Committee (REC reference 19/EM/0291). Data from this trial will be used as part of a Philosophy Doctorate thesis. Publications will be in peer-reviewed journals.

    TRIAL REGISTRATION NUMBER: NCT04415632.

    Matched MeSH terms: Glycemic Index
  15. Chekima K, Yan SW, Lee SWH, Wong TZ, Noor MI, Ooi YB, et al.
    Cochrane Database Syst Rev, 2023 Jun 22;6(6):CD005105.
    PMID: 37345841 DOI: 10.1002/14651858.CD005105.pub3
    BACKGROUND: The prevalence of obesity is increasing worldwide, yet nutritional management remains contentious. It has been suggested that low glycaemic index (GI) or low glycaemic load (GL) diets may stimulate greater weight loss than higher GI/GL diets or other weight reduction diets. The previous version of this review, published in 2007, found mainly short-term intervention studies. Since then, randomised controlled trials (RCTs) with longer-term follow-up have become available, warranting an update of this review.

    OBJECTIVES: To assess the effects of low glycaemic index or low glycaemic load diets on weight loss in people with overweight or obesity.

    SEARCH METHODS: We searched CENTRAL, MEDLINE, one other database, and two clinical trials registers from their inception to 25 May 2022. We did not apply any language restrictions.

    SELECTION CRITERIA: We included RCTs with a minimum duration of eight weeks comparing low GI/GL diets to higher GI/GL diets or any other diets in people with overweight or obesity.

    DATA COLLECTION AND ANALYSIS: We used standard Cochrane methods. We conducted two main comparisons: low GI/GL diets versus higher GI/GL diets and low GI/GL diets versus any other diet. Our main outcomes included change in body weight and body mass index, adverse events, health-related quality of life, and mortality. We used GRADE to assess the certainty of the evidence for each outcome.

    MAIN RESULTS: In this updated review, we included 10 studies (1210 participants); nine were newly-identified studies. We included only one study from the previous version of this review, following a revision of inclusion criteria. We listed five studies as 'awaiting classification' and one study as 'ongoing'. Of the 10 included studies, seven compared low GI/GL diets (233 participants) with higher GI/GL diets (222 participants) and three studies compared low GI/GL diets (379 participants) with any other diet (376 participants). One study included children (50 participants); one study included adults aged over 65 years (24 participants); the remaining studies included adults (1136 participants). The duration of the interventions varied from eight weeks to 18 months. All trials had an unclear or high risk of bias across several domains.  Low GI/GL diets versus higher GI/GL diets Low GI/GL diets probably result in little to no difference in change in body weight compared to higher GI/GL diets (mean difference (MD) -0.82 kg, 95% confidence interval (CI) -1.92 to 0.28; I2 = 52%; 7 studies, 403 participants; moderate-certainty evidence). Evidence from four studies reporting change in body mass index (BMI) indicated low GI/GL diets may result in little to no difference in change in BMI compared to higher GI/GL diets (MD -0.45 kg/m2, 95% CI -1.02 to 0.12; I2 = 22%; 186 participants; low-certainty evidence)at the end of the study periods. One study assessing participants' mood indicated that low GI/GL diets may improve mood compared to higher GI/GL diets, but the evidence is very uncertain (MD -3.5, 95% CI -9.33 to 2.33; 42 participants; very low-certainty evidence). Two studies assessing adverse events did not report any adverse events; we judged this outcome to have very low-certainty evidence. No studies reported on all-cause mortality.    For the secondary outcomes, low GI/GL diets may result in little to no difference in fat mass compared to higher GI/GL diets (MD -0.86 kg, 95% CI -1.52 to -0.20; I2 = 6%; 6 studies, 295 participants; low certainty-evidence). Similarly, low GI/GL diets may result in little to no difference in fasting blood glucose level compared to higher GI/GL diets (MD 0.12 mmol/L, 95% CI 0.03 to 0.21; I2 = 0%; 6 studies, 344 participants; low-certainty evidence).  Low GI/GL diets versus any other diet Low GI/GL diets probably result in little to no difference in change in body weight compared to other diets (MD -1.24 kg, 95% CI -2.82 to 0.34; I2 = 70%; 3 studies, 723 participants; moderate-certainty evidence). The evidence suggests that low GI/GL diets probably result in little to no difference in change in BMI compared to other diets (MD -0.30 kg in favour of low GI/GL diets, 95% CI -0.59 to -0.01; I2 = 0%; 2 studies, 650 participants; moderate-certainty evidence). Two adverse events were reported in one study: one was not related to the intervention, and the other, an eating disorder, may have been related to the intervention. Another study reported 11 adverse events, including hypoglycaemia following an oral glucose tolerance test. The same study reported seven serious adverse events, including kidney stones and diverticulitis. We judged this outcome to have low-certainty evidence. No studies reported on health-related quality of life or all-cause mortality. For the secondary outcomes, none of the studies reported on fat mass. Low GI/GL diets probably do not reduce fasting blood glucose level compared to other diets (MD 0.03 mmol/L, 95% CI -0.05 to 0.12; I2 = 0%; 3 studies, 732 participants; moderate-certainty evidence).  AUTHORS' CONCLUSIONS: The current evidence indicates there may be little to no difference for all main outcomes between low GI/GL diets versus higher GI/GL diets or any other diet. There is insufficient information to draw firm conclusions about the effect of low GI/GL diets on people with overweight or obesity. Most studies had a small sample size, with only a few participants in each comparison group. We rated the certainty of the evidence as moderate to very low. More well-designed and adequately-powered studies are needed. They should follow a standardised intervention protocol, adopt objective outcome measurement since blinding may be difficult to achieve, and make efforts to minimise loss to follow-up. Furthermore, studies in people from a wide range of ethnicities and with a wide range of dietary habits, as well as studies in low- and middle-income countries, are needed.

    Matched MeSH terms: Glycemic Index
  16. Shyam S, Wai TN, Arshad F
    Asia Pac J Clin Nutr, 2012;21(2):201-8.
    PMID: 22507605
    This paper outlines the methodology to add glycaemic index (GI) and glycaemic load (GL) functionality to food DietPLUS, a Microsoft Excel-based Malaysian food composition database and diet intake calculator. Locally determined GI values and published international GI databases were used as the source of GI values. Previously published methodology for GI value assignment was modified to add GI and GL calculators to the database. Two popular local low GI foods were added to the DietPLUS database, bringing up the total number of foods in the database to 838 foods. Overall, in relation to the 539 major carbohydrate foods in the Malaysian Food Composition Database, 243 (45%) food items had local Malaysian values or were directly matched to International GI database and another 180 (33%) of the foods were linked to closely-related foods in the GI databases used. The mean ± SD dietary GI and GL of the dietary intake of 63 women with previous gestational diabetes mellitus, calculated using DietPLUS version3 were, 62 ± 6 and 142 ± 45, respectively. These values were comparable to those reported from other local studies. DietPLUS version3, a simple Microsoft Excel-based programme aids calculation of diet GI and GL for Malaysian diets based on food records.
    Matched MeSH terms: Glycemic Index*
  17. Ismail NH, Manaf ZA, Azizan NZ
    BMC Dermatol., 2012;12:13.
    PMID: 22898209 DOI: 10.1186/1471-5945-12-13
    BACKGROUND: The role of dietary factors in the pathophysiology of acne vulgaris is highly controversial. Hence, the aim of this study was to determine the association between dietary factors and acne vulgaris among Malaysian young adults.
    METHODS: A case-control study was conducted among 44 acne vulgaris patients and 44 controls aged 18 to 30 years from October 2010 to January 2011. Comprehensive acne severity scale (CASS) was used to determine acne severity. A questionnaire comprising items enquiring into the respondent's family history and dietary patterns was distributed. Subjects were asked to record their food intake on two weekdays and one day on a weekend in a three day food diary. Anthropometric measurements including body weight, height and body fat percentage were taken. Acne severity was assessed by a dermatologist.
    RESULTS: Cases had a significantly higher dietary glycemic load (175 ± 35) compared to controls (122 ± 28) (p Index, and body fat percentage between case and control groups (p > 0.05).
    CONCLUSIONS: Glycemic load diet and frequencies of milk and ice cream intake were positively associated with acne vulgaris.
    Matched MeSH terms: Glycemic Index/physiology*
  18. Yusof BN, Abd Talib R, Karim NA, Kamarudin NA, Arshad F
    Int J Food Sci Nutr, 2009 Sep;60(6):487-96.
    PMID: 18785052 DOI: 10.1080/09637480701804268
    This study was carried out to determine the blood glucose response and glycaemic index (GI) values of four types of commercially available breads in Malaysia. Twelve healthy volunteers (six men, six women; body mass index, 21.9±1.6 kg/m(2); age, 22.9±1.7 years) participated in this study. The breads tested were multi-grains bread (M-Grains), wholemeal bread (WM), wholemeal bread with oatmeal (WM-Oat) and white bread (WB). The subjects were studied on seven different occasions (four tests for the tested breads and three repeated tests of the reference food) after an overnight fast. Capillary blood samples were taken immediately before (0 min) and 15, 30, 45, 60, 90 and 120 min after consumption of the test foods. The blood glucose response was obtained by calculating the incremental area under the curve. The GI values were determined according to the standardized methodology. Our results showed that the M-Grains and WM-Oat could be categorized as intermediate GI while the WM and WB breads were high GI foods, respectively. The GI of M-Grains (56±6.2) and WM-Oat (67±6.9) were significantly lower than the reference food (glucose; GI = 100) (P < 0.05). No significant difference in GI value was seen between the reference food and the GI of WM (85±5.9) and WB (82±6.5) (P > 0.05). Among the tested breads, the GI values of M-Grains and WM-Oat were significantly lower (P < 0.05) than those of WM and WB. There was no relationship between the dietary fibre content of the bread with the incremental area under the curve (r = 0.15, P = 0.15) or their GI values (r = 0.17, P = 0.12), indicating that the GI value of the test breads were unaffected by the fibre content of the breads. The result of this study will provide useful nutritional information for dieticians and the public alike who may prefer low-GI over high-GI foods.
    Matched MeSH terms: Glycemic Index*
  19. Robert SD, Ismail AA, Winn T, Wolever TM
    Asia Pac J Clin Nutr, 2008;17(1):35-9.
    PMID: 18364324
    The objective of the present study was to measure the glycemic index of durian, papaya, pineapple and water-melon grown in Malaysia. Ten (10) healthy volunteers (5 females, 5 males; body mass index 21.18+/-1.7 kg/m2) consumed 50 g of available carbohydrate portions of glucose (reference food) and four test foods (durian, papaya, pineapple and watermelon) in random order after an overnight fast. Glucose was tested on three separate occasions, and the test foods were each tested once. Postprandial plasma glucose was measured at intervals for two hours after intake of the test foods. Incremental areas under the curve were calculated, and the glycemic index was determined by expressing the area under the curve after the test foods as a percentage of the mean area under the curve after glucose. The results showed that the area under the curve after pineapple, 232+/-24 mmolxmin/L, was significantly greater than those after papaya, 147+/-14, watermelon, 139+/-8, and durian, 124+/-13 mmolxmin/L (p<0.05). Similarly, the glycemic index of pineapple, 82+/-4, was significantly greater than those of papaya, 58+/-6, watermelon, 55+/-3, and durian, 49+/-5 (p<0.05). The differences in area under the curve and glycemic index among papaya, watermelon and durian were not statistically significant. We conclude that pineapple has a high glycemic index, whereas papaya is intermediate and watermelon and durian are low glycemic index foods. The validity of these results depends on the accuracy of the data in the food tables upon which the portion sizes tested were based.
    Matched MeSH terms: Glycemic Index*
  20. Choi Y, Chang Y, Ryu S, Cho J, Kim MK, Ahn Y, et al.
    Am J Cardiol, 2015 Aug 15;116(4):520-6.
    PMID: 26073677 DOI: 10.1016/j.amjcard.2015.05.005
    The relation between glycemic index, glycemic load, and subclinical coronary atherosclerosis is unknown. The aim of the study was to evaluate the associations between energy-adjusted glycemic index, glycemic load, and coronary artery calcium (CAC). This study was cross-sectional analysis of 28,429 asymptomatic Korean men and women (mean age 41.4 years) without a history of diabetes or cardiovascular disease. All participants underwent a health screening examination between March 2011 and April 2013, and dietary intake over the preceding year was estimated using a validated food frequency questionnaire. Cardiac computed tomography was used for CAC scoring. The prevalence of detectable CAC (CAC score >0) was 12.4%. In multivariable-adjusted models, the CAC score ratios (95% confidence intervals) comparing the highest to the lowest quintile of glycemic index and glycemic load were 1.74 (1.08 to 2.81; p trend = 0.03) and 3.04 (1.43 to 6.46; p trend = 0.005), respectively. These associations did not differ by clinical subgroups, including the participants at low cardiovascular risk. In conclusion, these findings suggest that high dietary glycemic index and glycemic load were associated with a greater prevalence and degree of CAC, with glycemic load having a stronger association.
    Matched MeSH terms: Glycemic Index*
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