MyMedR

Displaying publications 1 - 20 of 48 in total

Abstract:

Sort:

Glycemic responses of patients with type 2 diabetes to individual carbohydrate-rich foods and mixed meals

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
Fulltext Glycaemic control of diabetic patients in an urban primary health care setting in Sarawak: the Tanah Puteh Health Centre experience

Wong JS, Rahimah N

Med J Malaysia, 2004 Aug;59(3):411-7.
PMID: 15727390 MyJurnal

Achieving glycaemic goals in diabetics has always been a problem, especially in a developing country with inadequate facilities such as in Sarawak in Malaysia. There are no reported studies on the control of diabetes mellitus in a diabetic clinic in the primary health care setting in Sarawak. This paper describes the profile of 1031 patients treated in Klinik Kesihatan Tanah Puteh Health Centre. The mean age was 59 years, the mean BMI 27 kg/m2. There was a female preponderance and mainly type-2 diabetes. Mean HbA1c was 7.4%. Glycaemic control was optimal in 28% (HbA1c <6.5%), fair in 34% (HbA1c 6.5-7.5%) and poor in 38% (HbA1c >7.5%). Reasonable glycaemic control can be achieved in the primary health care setting in Sarawak.
Study site: Klinik Kesihatan Tanah Puteh, Sarawak, Malaysia

Matched MeSH terms: Glycemic Index
Fulltext Impact of Diabetes-Specific Nutritional Formulas versus Oatmeal on Postprandial Glucose, Insulin, GLP-1 and Postprandial Lipidemia

Mottalib A, Mohd-Yusof BN, Shehabeldin M, Pober DM, Mitri J, Hamdy O

Nutrients, 2016 Jul 22;8(7).
PMID: 27455318 DOI: 10.3390/nu8070443

Diabetes-specific nutritional formulas (DSNFs) are frequently used as part of medical nutrition therapy for patients with diabetes. This study aims to evaluate postprandial (PP) effects of 2 DSNFs; Glucerna (GL) and Ultra Glucose Control (UGC) versus oatmeal (OM) on glucose, insulin, glucagon-like peptide-1 (GLP-1), free fatty acids (FFA) and triglycerides (TG). After an overnight fast, 22 overweight/obese patients with type 2 diabetes were given 200 kcal of each of the three meals on three separate days in random order. Blood samples were collected at baseline and at 30, 60, 90, 120, 180 and 240 min. Glucose area under the curve (AUC0-240) after GL and UGC was lower than OM (p < 0.001 for both). Insulin positive AUC0-120 after UGC was higher than after OM (p = 0.02). GLP-1 AUC0-120 and AUC0-240 after GL and UGC was higher than after OM (p < 0.001 for both). FFA and TG levels were not different between meals. Intake of DSNFs improves PP glucose for 4 h in comparison to oatmeal of similar caloric level. This is achieved by either direct stimulation of insulin secretion or indirectly by stimulating GLP-1 secretion. The difference between their effects is probably related to their unique blends of amino acids, carbohydrates and fat.

Matched MeSH terms: Glycemic Index
Reduction of postprandial blood glucose in healthy subjects by buns and flatbreads incorporated with fenugreek seed powder

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
Fulltext Nutritional Strategies in Prediabetes: A Scoping Review of Recent Evidence

Yau JW, Thor SM, Ramadas A

Nutrients, 2020 Sep 29;12(10).
PMID: 33003593 DOI: 10.3390/nu12102990

Nutritional therapy has been conventionally recommended for people with prediabetes as a method to delay or halt progression to type 2 diabetes. However, recommended nutritional strategies evolve over time. Hence, we performed a scoping review on recently reported nutritional interventions for individuals with prediabetes. Ovid MEDLINE, PubMed, Embase, Scopus, CINAHL and PsycINFO databases were searched to identify relevant research articles published within the past 10 years. Ninety-five articles involving a total of 11,211 participants were included in this review. Nutritional strategies were broadly classified into four groups: low calorie diet, low glycemic index diet, specific foods, and a combination of diet and exercise. The most frequently assessed outcomes were plasma glucose, serum insulin, serum lipid profile, body mass index and body weight. More than 50% of reported interventions resulted in significant improvements in these parameters. Nutritional interventions have demonstrated feasibility and practicality as an effective option for prediabetes management. However, the intervention variability demonstrates the challenges of a 'one-size-fits-all' approach. Investigations in genetically diverse populations and objective assessment of progression rate to diabetes are necessary to better comprehend the impact of these nutritional strategies in prediabetes.

Matched MeSH terms: Glycemic Index
Beyond HbA1c: Comparing Glycemic Variability and Glycemic Indices in Predicting Hypoglycemia in Type 1 and Type 2 Diabetes

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
Fulltext Effect of therapeutic lifestyle changes on insulin sensitivity of non-obese hyperlipidemic subjects: preliminary report

Al-Mahmood AK, Ismail AA, Rashid FA, Azwany YN, Singh R, Gill G

J Atheroscler Thromb, 2007 Jun;14(3):122-7.
PMID: 17587763 DOI: 10.5551/jat.14.122

AIM: To determine the effects of lipid lowering by TLC on insulin sensitivity and secretory status of non-obese normoglycemic hyperlipidemic subjects.
METHODS: An intervention study was undertaken on 16 non-obese normoglycemic hyperlipidemic subjects. They underwent 6 months of a TLC regimen. Their insulin sensitivity and lipid status were assessed at baseline and after six months. A control group containing 16 age, sex and body mass index (BMI) matched normolipidemic subjects was also enrolled to compare the change in lipid levels and insulin sensitivity in the hyperlipidemic subjects.
RESULTS: The intervention showed significant reductions in insulin resistance (HOMA-IR reduced from 3.8 to 1.4, p<0.001) and improvement of insulin sensitivity (HOMA%S increased from 50.1% to 121.2%, p=0.004) in hyperlipidemic subjects with associated reductions in lipid levels.
CONCLUSION: Lipid lowering in non-obese hyperlipidemic subjects may be associated with improvement of insulin sensitivity.
Study site: Staff of university and offices, Kelantan, Malaysia

Matched MeSH terms: Glycemic Index
Incorporation of dietary fibre-rich oyster mushroom (Pleurotus sajor-caju) powder improves postprandial glycaemic response by interfering with starch granule structure and starch digestibility of biscuit

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
Fulltext Energy and macronutrient intake and risk of differentiated thyroid carcinoma in the European Prospective Investigation into Cancer and Nutrition study

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
Role of Composite Glycemic Indices: A Comparison of the Comprehensive Glucose Pentagon Across Diabetes Types and HbA1c Levels

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*
The role of digestive factors in determining glycemic response in a multiethnic Asian population

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*
Fulltext Effects of brown rice and white rice on expression of xenobiotic metabolism genes in type 2 diabetic rats

Imam MU, Ismail M

Int J Mol Sci, 2012;13(7):8597-608.
PMID: 22942722 DOI: 10.3390/ijms13078597

Xenobiotics constantly influence biological systems through several means of interaction. These interactions are disturbed in type 2 diabetes, with implications for disease outcome. We aimed to study the implications of such disturbances on type 2 diabetes and rice consumption, the results of which could affect management of the disease in developing countries. In a type 2 diabetic rat model induced through a combination of high fat diet and low dose streptozotocin injection, up-regulation of xenobiotic metabolism genes in the diabetic untreated group was observed. Xenobiotic metabolism genes were upregulated more in the white rice (WR) group than the diabetic untreated group while the brown rice (BR) group showed significantly lower expression values, though not as effective as metformin, which gave values closer to the normal non-diabetic group. The fold changes in expression in the WR group compared to the BR group for Cyp2D4, Cyp3A1, Cyp4A1, Cyp2B1, Cyp2E1, Cyp2C11, UGT2B1, ALDH1A1 and Cyp2C6 were 2.6, 2, 1.5, 4, 2.8, 1.5, 1.8, 3 and 5, respectively. Our results suggest that WR may upregulate these genes in type 2 diabetes more than BR, potentially causing faster drug metabolism, less drug efficacy and more toxicity. These results may have profound implications for rice eating populations, constituting half the world's population.

Matched MeSH terms: Glycemic Index
Fulltext The effect of dietary glycemic index and glycemic load on overweight individuals and type 2 diabetes patients: an overview of the literature

Chekima, K., Wong, B. T. Z., Ooi, Y. B. H., Ismail M. N., Tan, C. H.

Malaysian Journal of Medicine and Health Sciences, 2019;15(102):45-45.
MyJurnal

Introduction: Type 2 diabetes is increasing at an alarming rate worldwide. One of the leading factors to this condition is obesity. Low glycemic index (GI) and glycemic load (GL) diets have been proposed as lifestyle changes to address obesity, however, there is a lack of consensus on the optimal approach for weight loss, glycemic control and improving insulin sensitivity. In addition, the outcome of these diets are equivocal, with some studies suggesting beneficial outcomes and others suggesting otherwise. Furthermore, discrepant study designs have led to divergent conclusions. In order to provide a comprehensive overview of the low GI and low GL diets, a systematic review of literature on relevant observational studies and randomised control trials was performed on these databases:- The Cochrane Library, Medline, PubMed, Embase, Cinahl and Web of Science. Methods: The review was conducted based on the methodological standards for the conduct and reporting of Cochrane intervention reviews, Version 1.07, November 2018. Population, Intervention, Comparison and Outcomes (PICO) tool was used as the organising framework to define key elements of the review question. Results: Pertinent outcome variables include body weight, insulin resistance, HbA1c, fasting serum glucose, BMI, waist-to-hip ratio, triglyceride, HDL and LDL cholesterol. Our current understanding of these diets has been complicated by the reports that were based on different study designs and study populations. This review defines the issues, gaps in the research, study design, and evidence that is needed to inform practice, policy making and future research. There is also a dearth of information on the effect of low GI and GL diets on the Asian populations, specifically on improving insulin resistance. High carbohydrate diets are a mainstay of Asian societies. Conclusion: As cases of obesity and type 2 diabetes surge, there is an urgent need for research on low GI and GL dietary modifications among the Asian populations.

Matched MeSH terms: Glycemic Index
Fulltext Levels of knowledge about the glycemic index concept among women with gestational diabetes mellitus

Norfarhana Mohd Anuar, Barakatun Nisak Mohd Yusof, Farah Yasmin Hasbullah, Siti Nur’Asyura Adznam, Zuriati Ibrahim, Nor Fadhlina Zakaria, et al.

Malaysian Journal of Medicine and Health Sciences, 2020;16(3):185-191.
MyJurnal

Introduction: Low glycemic index (GI) diet is recommended as part of medical nutrition therapy for the management of gestational diabetes mellitus (GDM). While the clinical benefits are evident, data assessing knowledge of the GI concept among women with GDM are scarce. This was a needs assessment study to determine the level of knowl- edge about the GI concept among women with GDM. Methods: Using a cross-sectional design, we included 85 women with GDM (mean age: 30.6 ± 4.0, pre-pregnancy BMI: 24.8 ± 4.1 kg/m2, gestational age: 34.0 ± 4.0 weeks) from Hospital Serdang, Malaysia. Knowledge about the GI concept was assessed using a developed questionnaire. Additional questions on GDM were assessed using Gestational Diabetes Mellitus Knowledge Questionnaire (GDM- KQ). Subjects with less than 50%, 51-74%, and more than 75% total score were categorized as having poor, fair, and good knowledge levels, respectively. Results: The mean knowledge score obtained by the subjects was 12.8 ± 3.5. More subjects scored correctly for GDM-related knowledge (68.2%). More than half (58.8%) had heard about the GI concept previously and 55.3% understood the definition of GI. The average knowledge score about the GI con- cept was 55.6%; subjects scored highest on the influence of different carbohydrates (teh tarik versus milk) on blood glucose level (87.1%). However, the majority of the subjects had fair knowledge level (62.4%). Conclusion: Women with GDM had moderate knowledge about the GI concept. Results of the needs assessment served as preliminary data for the development of a GI-based nutrition education program in Malaysia.

Matched MeSH terms: Glycemic Index
Fulltext The effect of low glycemic index bread eaten with different fillings on blood glucose response in healthy individuals

Barakatun Nisak Mohd Yusof, Ruzita Abd. Talib, Norimah A. Karim, Nor Azmi Kamarudin, Fatimah Arshad

Jurnal Sains Kesihatan Malaysia, 2008;6(1):1-10.
MyJurnal

White and whole meal breads have been classified as high glycemic index (GI) foods which in turn produce the greatest rise in blood glucose. One of the commercial bread products in Malaysia known as Brown breads (BB) has been recently marketed as a healthy choice for diabetics due to its low GI value. This study was conducted to examine the effect of BB when eaten with different fillings on blood glucose response among healthy individuals and to describe the influences of these fillings in reducing blood glucose response. Five test meals using BB (BB eaten with baked beans, BB eaten with vegetable, BB eaten with apple, BB eaten with roast chicken and BB eaten with seaweeds) had been prepared for this study. Postprandial blood glucose response was determined for each test meal and reference food (glucose) that contained 50 g carbohydrate respectively. A total of 21 healthy subjects were recruited by advertisement to participate. Only 20 subjects (15 males, 5 females, Mean + SD Age : 24.4 + 3.7 years; BMI 23.4 + 3.0 kgm-2) completed this study. After an overnight fast, subjects consumed BB eaten with fillings according to the assigned group given and three repeated tests of reference food (glucose). Fasting capillary blood glucose samples were taken at time 0 and at 15, 30, 45, 60, 90 and 120 min respectively after the meal began. The blood glucose response was obtained by calculating the incremental area under the curve (AUC). Blood glucose response after consuming reference food (251.8 + 12.1 mmol.min/L) was significantly higher than all the test meals (p < 0.05). Among the test meals, BB eaten with baked beans produced the highest rise in blood glucose (97.0 + 16.9 mmol.min/L) whereas BB eaten with seaweeds demonstrated the lowest response in blood glucose (33.3 + 6.5 mmol.min/L) and the difference was statistically significant (p < 0.05). The postprandial blood glucose response after ingestion of BB when eaten with vegetable was 73.3 + 19.1 mmol.min/L followed by BB eaten with apple (58.9 + 12.2 mmol.min/L) and BB eaten with roast chicken (56.5 + 10.1 mmol.min/L). Generally, BB when eaten with fillings produced a slow rise in blood glucose response than the reference food. Combining this BB with fillings had the effect of reducing the postprandial blood glucose further.

Matched MeSH terms: Glycemic Index
Fulltext Low-glycaemic index diet to improve dietary intake among women with gestational diabetes mellitus

Nor Azlin, M.I., Zalilah, M.S., Farhanah, A.S., Barakatun Nisak, M.Y.

Pertanika Journal of Science & Technology, 2017;25(107):31-42.
MyJurnal

This study examines the effect of a low glycaemic index (LGI) intervention to improve dietary intake among women with Gestational Diabetes Mellitus (GDM). Women with GDM were randomised to receive either a low GI intervention (LGI; n = 20) or standard nutrition therapy (SNT; n = 20) for a 4-week period. Food Frequency Questionnaire (FFQ) and Three-Day Diet Record assessed the dietary intake and food choices. Dietary intake and food choices of the participants were comparable at baseline. At the end of the study, energy, protein, fat and carbohydrate were reduced in both groups (p < 0.05). In the LGI group, fibre and calcium intake was higher compared with SNT group. More participants in
the LGI group consumed rice from the low GI varieties, the whole grain breads and the low GI biscuits (p<0.05) compared with participants in the SNT group. The diet GI reduced significantly in the LGI group (50 ± 9 units) compared with the SNT group (57 ± 6) (p < 0.05). Findings showed low GI dietary intervention improved the dietary intake of women with GDM.
Keywords: Carbohydrate, dietary intake, Gestational Diabetes Mellitus, low glycaemic index
Study site: Pusat Perubatan Universiti Kebangsaan Malaysia (PPUKM), Kuala Lumpur, Malaysia

Matched MeSH terms: Glycemic Index
Fulltext Relationship between dyslipidaemia and glycaemic status in patients with Type 2 diabetes mellitus

Thambiah SC, Samsudin IN, George E, Zahari Sham SY, Lee HM, Muhamad MA, et al.

Malays J Pathol, 2016 Aug;38(2):123-30.
PMID: 27568669 MyJurnal

The risk of coronary heart disease (CHD) is dramatically increased in diabetic patients due to their atherogenic lipid profile. The severity of CHD in diabetic patients has been found to be directly associated with glycated haemoglobin (HbA1c). According to the Malaysian Clinical Practice Guidelines on diabetes mellitus (DM), HbA1c level less than 6.5% reduces the risk of microvascular and macrovascular complications. Hence, this study aimed to determine the relationship between dyslipidaemia and glycaemic status in patients with type 2 DM (T2DM) patients in Hospital Putrajaya, a tertiary endocrine centre in Malaysia. This was a cross sectional, retrospective study of 214 T2DM patients with dyslipidaemia who had visited the endocrine clinic between January 2009 and December 2012. Significant correlations were found between fasting blood glucose (FBG) and HbA1c with total cholesterol (TC), triglyceride (TG), low density lipoprotein cholesterol (LDL), non-high density lipoprotein cholesterol (non-HDL), LDL/HDL ratio and TC/HDL ratio; greater correlation being with HbA1c than FBG. In patients with HbA1c ≥ 6.5%, TC, TG, non-HDL and TC/HDL ratio were significantly higher than in patients with HbA1c < 6.5%. Non-HDL, LDL/HDL ratio, TC/HDL ratio and HbA1c were significantly lower in patients on statin treatment than nontreated patients (p<0.05). This significant association between glycaemic status and dyslipidaemia emphasises the additional possible use of HbA1c as a biomarker for dyslipidaemia as well as a potential indirect predictor of cardiovascular disease (CVD) risk in T2DM patients.

Matched MeSH terms: Glycemic Index
Fulltext Plasma adiponectin concentrations are associated with dietary glycemic index in Malaysian patients with type 2 diabetes

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*
A transgressive brown rice mediates favourable glycaemic and insulin responses

Karupaiah T, Aik CK, Heen TC, Subramaniam S, Bhuiyan AR, Fasahat P, et al.

J Sci Food Agric, 2011 Aug 30;91(11):1951-6.
PMID: 21480266 DOI: 10.1002/jsfa.4395

BACKGROUND: We evaluated glycaemic response of a brown rice variant (BR) developed by cross-breeding. Subjects (n = 9) consumed 50 g carbohydrate equivalents of BR, white rice (WR) and the polished brown rice (PR) in comparison to 50 g glucose reference (GLU) in a cross-over design. Plasma glucose and insulin at 0, 15, 45, 60, 90, 120 and 180 min were measured and incremental area under the curve (IAUC) and indices for glucose (GI) and insulin (II) calculated.
RESULTS: BR compared to PR or WR produced the lowest postprandial glycaemia (GI: 51 vs 79 vs 86) and insulinaemia (II: 39 vs 63 vs 68) irrespective of amylose content (19 vs 23 vs 26.5%). Only BR was significantly different from GLU for both plasma glucose (P = 0.012) and insulin (P = 0.013) as well as IAUC(glu) (P = 0.045) and IAUC(ins) (P = 0.031). Glycaemic and insulinaemic responses correlated positively (r = 0.550, P < 0.001). Linear trends for IAUC(glu) and IAUC(ins) indicated a greater secretion of insulin tied in with a greater glycaemic response for WR (r(2) = 0.848), moderate for PR (r(2) = 0.302) and weakest for BR (r(2) = 0.122).
CONCLUSION: The brown rice variant had the lowest GI and II values but these advantages were lost with polishing.

Matched MeSH terms: Glycemic Index*
Improvement of dietary quality with the aid of a low glycemic index diet in Asian patients with type 2 diabetes mellitus

Barakatun Nisak MY, Ruzita AT, Norimah AK, Gilbertson H, Nor Azmi K

J Am Coll Nutr, 2010 Jun;29(3):161-70.
PMID: 20833988 DOI: 10.1080/07315724.2010.10719830

OBJECTIVES: This randomized controlled study was conducted to determine the effect of low glycemic index (GI) dietary advice on eating patterns and dietary quality in Asian patients with type 2 diabetes (T2DM).

METHODS: Asian patients with T2DM (N = 104) were randomized into 2 groups that received either low GI or conventional carbohydrate exchange (CCE) dietary advice for 12 weeks. Nutritional prescriptions were based on the medical nutrition therapy for T2DM, with the difference being in the GI component of the carbohydrates. Dietary intake and food choices were assessed with the use of a 3-day food record.

RESULTS: At week 12, both groups achieved the recommendations for carbohydrate (52 ± 4% and 54 ± 4% of energy) and fat (30 ± 4% and 28 ± 5% of energy) intake. There were no significant differences in the reported macronutrient intake in both groups. With the low GI diet, crude fiber and dietary calcium intake increased, while the dietary GI reduced. Subjects in the lowest dietary glycemic index/glycemic load (GI/GL) quartile consumed more parboiled/basmati rice, pasta, milk/dairy products, fruits, and dough, which are foods from the low GI category. There was a significant reduction in the hemoglobin A(1c) level at week 12 for patients in the lowest GI/GL quartile (Δ = -0.7 ± 0.1%) compared with those in the highest GI/GL quartile (Δ = -0.1 ± 0.2%).

CONCLUSIONS: These results demonstrate the ability of low GI dietary advice to improve the dietary quality of Asian patients with T2DM.

Matched MeSH terms: Glycemic Index*

Filters

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

External Links