Displaying publications 1 - 20 of 48 in total

Abstract:
Sort:
  1. Robert SD, Ismail AA
    Ann Nutr Metab, 2012;60(1):27-32.
    PMID: 22212476 DOI: 10.1159/000335224
    Our purpose was to determine whether the glycemic index (GI) of individual foods applies to mixed meals.
    Matched MeSH terms: Glycemic Index
  2. Loh BI, Sathyasuryan DR, Mohamed HJ
    Asia Pac J Clin Nutr, 2013;22(2):241-8.
    PMID: 23635368 DOI: 10.6133/apjcn.2013.22.2.04
    Adiponectin, an adipocyte-derived hormone has been implicated in the control of blood glucose and chronic inflammation in type 2 diabetes. However, limited studies have evaluated dietary factors on plasma adiponectin levels, especially among type 2 diabetic patients in Malaysia. The aim of this study was to investigate the influence of dietary glycemic index on plasma adiponectin concentrations in patients with type 2 diabetes. A cross-sectional study was conducted in 305 type 2 diabetic patients aged 19-75 years from the Penang General Hospital, Malaysia. Socio-demographic information was collected using a standard questionnaire while dietary details were determined by using a pre-validated semi-quantitative food frequency questionnaire. Anthropometry measurement included weight, height, BMI and waist circumference. Plasma adiponectin concentrations were measured using a commercial ELISA kit. Data were analyzed using multiple linear regression. After multivariate adjustment, dietary glycemic index was inversely associated with plasma adiponectin concentrations (β =-0.272, 95% CI -0.262, - 0.094; p<0.001). It was found that in individuals who consumed 1 unit of foods containing high dietary glycemic index that plasma adiponectin level reduced by 0.3 μg/mL. Thirty two percent (31.9%) of the variation in adiponectin concentrations was explained by age, sex, race, smoking status, BMI, waist circumference, HDL-C, triglycerides, magnesium, fiber and dietary glycemic index according to the multiple linear regression model (R2=0.319). These results support the hypothesis that dietary glycemic index influences plasma adiponectin concentrations in patients with type 2 diabetes. Controlled clinical trials are required to confirm our findings and to elucidate the underlying mechanism.
    Matched MeSH terms: Glycemic Index*
  3. 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*
  4. 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*
  5. 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
  6. 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*
  7. 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
  8. 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
  9. 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*
  10. 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*
  11. 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
  12. Rama Chandran S, Tay WL, Lye WK, Lim LL, Ratnasingam J, Tan ATB, et al.
    Diabetes Technol Ther, 2018 05;20(5):353-362.
    PMID: 29688755 DOI: 10.1089/dia.2017.0388
    BACKGROUND: Hypoglycemia is the major impediment to therapy intensification in diabetes. Although higher individualized HbA1c targets are perceived to reduce the risk of hypoglycemia in those at risk of hypoglycemia, HbA1c itself is a poor predictor of hypoglycemia. We assessed the use of glycemic variability (GV) and glycemic indices as independent predictors of hypoglycemia.

    METHODS: A retrospective observational study of 60 type 1 and 100 type 2 diabetes subjects. All underwent professional continuous glucose monitoring (CGM) for 3-6 days and recorded self-monitored blood glucose (SMBG). Indices were calculated from both CGM and SMBG. Statistical analyses included regression and area under receiver operator curve (AUC) analyses.

    RESULTS: Hypoglycemia frequency (53.3% vs. 24%, P Index (LBGI)CGM, Glycemic Risk Assessment Diabetes Equation (GRADE)HypoglycemiaCGM, and Hypoglycemia IndexCGM predicted hypoglycemia well. %CVCGM and %CVSMBG consistently remained a robust discriminator of hypoglycemia in type 1 diabetes (AUC 0.88). In type 2 diabetes, a combination of HbA1c and %CVSMBG or LBGISMBG could help discriminate hypoglycemia.

    CONCLUSION: Assessment of glycemia should go beyond HbA1c and incorporate measures of GV and glycemic indices. %CVSMBG in type 1 diabetes and LBGISMBG or a combination of HbA1c and %CVSMBG in type 2 diabetes discriminated hypoglycemia well. In defining hypoglycemia risk using GV and glycemic indices, diabetes subtypes and data source (CGM vs. SMBG) must be considered.

    Matched MeSH terms: Glycemic Index
  13. Rama Chandran S, A Vigersky R, Thomas A, Lim LL, Ratnasingam J, Tan A, et al.
    Diabetes Technol Ther, 2020 02;22(2):103-111.
    PMID: 31502876 DOI: 10.1089/dia.2019.0277
    Background:
    Complex changes of glycemia that occur in diabetes are not fully captured by any single measure. The Comprehensive Glucose Pentagon (CGP) measures multiple aspects of glycemia to generate the prognostic glycemic risk (PGR), which constitutes the relative risk of hypoglycemia combined with long-term complications. We compare the components of CGP and PGR across type 1 and type 2 diabetes.
    Methods:
    Participants: n = 60 type 1 and n = 100 type 2 who underwent continuous glucose monitoring (CGM). Mean glucose, coefficient of variation (%CV), intensity of hypoglycemia (INThypo), intensity of hyperglycemia (INThyper), time out-of-range (TOR <3.9 and >10 mmol/L), and PGR were calculated. PGR (median, interquartile ranges [IQR]) for diabetes types, and HbA1c classes were compared.
    Results:
    While HbA1c was lower in type 1 (type 1 vs. type 2: 8.0 ± 1.6 vs. 8.6 ± 1.7, P = 0.02), CGM-derived mean glucoses were similar across both groups (P > 0.05). TOR, %CV, INThypo, and INThyper were all higher in type 1 [type 1 vs. type 2: 665 (500, 863) vs. 535 (284, 823) min/day; 39% (33, 46) vs. 29% (24, 34); 905 (205, 2951) vs. 18 (0, 349) mg/dL × min2; 42,906 (23,482, 82,120) vs. 30,166 (10,276, 57,183) mg/dL × min2, respectively, all P 
    Matched MeSH terms: Glycemic Index*
  14. Yusof BN, Talib RA, Kamaruddin NA, Karim NA, Chinna K, Gilbertson H
    Diabetes Obes Metab, 2009 Apr;11(4):387-96.
    PMID: 19175374 DOI: 10.1111/j.1463-1326.2008.00984.x
    AIMS: The aim of this study is to compare the efficacy of low glycaemic index (GI) vs. conventional carbohydrate exchange (CCE) dietary advice on glycaemic control and metabolic parameters in patients with type 2 diabetes.
    METHODS: A total of 104 patients with type 2 diabetes were randomly assigned to either a low GI (GI) or CCE dietary advice over a 12-week period. The primary end-point was glycaemic control as assessed by glycated haemoglobin A1c (HbA1c), fructosamine level and plasma glucose. The secondary end-points were anthropometric measurements and metabolic parameters that include blood pressure, lipid profile and insulin levels. The oral antidiabetic medications remained unchanged throughout the duration of the study.
    RESULTS: A low-GI diet was associated with significant changes in the fructosamine level (DeltaGI = -0.20 +/- 0.03; DeltaCCE = -0.08 +/- 0.03 mmol/l, p < 0.01) and waist circumference (DeltaGI group = -1.88 +/- 0.30 cm; DeltaCCE group: -0.36 +/- 0.4 cm, p < 0.05) at week 4. At week 12, the changes in fasting glucose (DeltaGI = -0.03 +/- 0.3; DeltaCCE = 0.7 +/- 0.3 mmol/l; p < 0.05) and waist circumference (DeltaGI = -2.35 +/- 0.47 cm; DeltaCCE group = -0.66 +/- 0.46 cm; p < 0.05) in the GI group was significantly lower than the CCE group. With the low-GI diet, the changes in postprandial glycaemia at time 0, 60, 150 and 180 min after consuming the standard test meal was lower than with the CCE diet (p < 0.05). No significant differences were found between the groups for the remaining parameters that were measured.
    CONCLUSIONS: Use of a low-GI diet resulted in significant changes of serum fructosamine level, plasma glucose and waist circumference in Asian patients with type 2 diabetes over a 12-week period compared with those following a CCE diet. The effect on HbA1c and other metabolic parameters was not significantly different between the two study groups but the improvement within the GI group was more pronounced and of clinical benefit.
    Matched MeSH terms: Glycemic Index*
  15. Robert SD, Ismail AA, Rosli WI
    Eur J Nutr, 2016 Oct;55(7):2275-80.
    PMID: 26358163 DOI: 10.1007/s00394-015-1037-4
    PURPOSE: This study aimed to determine whether fenugreek seed powder could reduce the glycemic response and glycemic index (GI) when added to buns and flatbreads.

    METHODS: In a randomised, controlled crossover trial, ten healthy human subjects (five men, five women) were given 50 g glucose (reference food, twice); buns (0 and 10 % fenugreek seed powder); and flatbreads (0 and 10 % fenugreek seed powder) on six different occasions. Finger prick capillary blood samples were collected at 0, 15, 30, 45, 60, 90 and 120 min after the start of the meal. The palatability of the test meals was scored using Likert scales.

    RESULTS: The incremental areas under the glucose curve value of buns and flatbreads with 10 % fenugreek (138 ± 17 mmol × min/L; 121 ± 16 mmol × min/L) were significantly lower than those of 0 % fenugreek bun and flatbreads (227 ± 15 mmol × min/L; 174 ± 14 mmol × min/L, P = <0.01). Adding 10 % fenugreek seed powder reduced the GI of buns from 82 ± 5 to 51 ± 7 (P 

    Matched MeSH terms: Glycemic Index
  16. Tey SL, Van Helvoort A, Henry CJ
    Eur J Nutr, 2016 Dec;55(8):2493-2498.
    PMID: 26467048
    PURPOSE: A limited number of studies have compared the glycaemic index (GI) and glycaemic responses (GR) to solid foods between Caucasians and Asians. These studies have demonstrated that Asians have greater GI and GR values for solid foods than Caucasians. However, no study has compared the GI and GR to liquids among various Asian ethnic groups.

    METHODS: A total of forty-eight males and females (16 Chinese, 16 Indians, and 16 Malay) took part in this randomised, crossover study. Glycaemic response to the reference food (glucose beverage) was measured on three occasions, and GR to three liquids were measured on one occasion each. Liquids with different macronutrient ratio's and carbohydrate types were chosen to be able to evaluate the response to products with different GIs. Blood glucose concentrations were measured in duplicate at baseline (-5 and 0 min) and once at 15, 30, 45, 60, 90, and 120 min after the commencement of beverage consumption.

    RESULTS: There were statistically significant differences in GI and GR between the three liquids (P 

    Matched MeSH terms: Glycemic Index*
  17. Tan VM, Ooi DS, Kapur J, Wu T, Chan YH, Henry CJ, et al.
    Eur J Nutr, 2016 Jun;55(4):1573-81.
    PMID: 26160548 DOI: 10.1007/s00394-015-0976-0
    PURPOSE: There are wide inter-individual differences in glycemic response (GR). We aimed to examine key digestive parameters that influence inter-individual and ethnic differences in GR in healthy Asian individuals.
    METHODS: Seventy-five healthy male subjects (25 Chinese, 25 Malays, and 25 Asian-Indians) were served equivalent available carbohydrate amounts (50 g) of jasmine rice (JR) and basmati rice (BR) on separate occasions. Postprandial blood glucose concentrations were measured at fasting (-5 and 0 min) and at 15- to 30-min interval over 180 min. Mastication parameters (number of chews per mouth and chewing time per mouthful), saliva α-amylase activity, AMY1 gene copy numbers and gastric emptying rate were measured to investigate their relationships with GR.
    RESULTS: The GR for jasmine rice was significantly higher than for basmati rice (P 0.05).
    CONCLUSION: Mastication parameters contribute significantly to GR. Eating slowly and having larger food boluses before swallowing (less chewing), both potentially modifiable, may be beneficial in glycemic control.
    Matched MeSH terms: Glycemic Index*
  18. Ng SH, Robert SD, Wan Ahmad WA, Wan Ishak WR
    Food Chem, 2017 Jul 15;227:358-368.
    PMID: 28274444 DOI: 10.1016/j.foodchem.2017.01.108
    The purpose of this study was to determine the effects of Pleurotus sajor-caju (PSC) powder addition at 0, 4, 8 and 12% levels on the nutritional values, pasting properties, thermal characteristics, microstructure, in vitro starch digestibility, in vivo glycaemic index (GI) and sensorial properties of biscuits. Elevated incorporation levels of PSC powder increased the dietary fibre (DF) content and reduced the pasting viscosities and starch gelatinisation enthalpy value of biscuits. The addition of DF-rich PSC powder also interfered with the integrity of the starch granules by reducing the sizes and inducing the uneven spherical shapes of the starch granules, which, in turn, resulted in reduced starch susceptibility to digestive enzymes. The restriction starch hydrolysis rate markedly reduced the GI of biscuits. The incorporation of 8% PSC powder in biscuits (GI=49) could be an effective way of developing a nutritious and low-GI biscuit without jeopardizing its desirable sensorial properties.
    Matched MeSH terms: Glycemic Index
  19. 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
  20. Zamora-Ros R, Rinaldi S, Tsilidis KK, Weiderpass E, Boutron-Ruault MC, Rostgaard-Hansen AL, et al.
    Int J Cancer, 2016 Jan 01;138(1):65-73.
    PMID: 26190646 DOI: 10.1002/ijc.29693
    Incidence rates of differentiated thyroid carcinoma (TC) have increased in many countries. Adiposity and dietary risk factors may play a role, but little is known on the influence of energy intake and macronutrient composition. The aim of this study was to investigate the associations between TC and the intake of energy, macronutrients, glycemic index (GI) and glycemic load in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. The study included 477,274 middle-age participants (70.2% women) from ten European countries. Dietary data were collected using country-specific validated dietary questionnaires. Total carbohydrates, proteins, fats, saturated, monounsaturated and polyunsaturated fats (PUFA), starch, sugar, and fiber were computed as g/1,000 kcal. Multivariable Cox regression was used to calculate multivariable adjusted hazard ratios (HR) and 95% confidence interval (CI) by intake quartile (Q). After a mean follow-up time of 11 years, differentiated TC was diagnosed in 556 participants (90% women). Overall, we found significant associations only with total energy (HRQ4 vs .Q1 , 1.29; 95% CI, 1.00-1.68) and PUFA intakes (HRQ4 vs .Q1 , 0.74; 95% CI, 0.57-0.95). However, the associations with starch and sugar intake and GI were significantly heterogeneous across body mass index (BMI) groups, i.e., positive associations with starch and GI were found in participants with a BMI ≥ 25 and with sugar intake in those with BMI 
    Matched MeSH terms: Glycemic Index
Filters
Contact Us

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links