The effect of diabetes knowledge and attitudes on self-management and quality of life among people with type 2 diabetes.

We examined the effect of diabetes knowledge and attitudes on self-management and quality of life (QoL) of people with type 2 diabetes mellitus (T2DM). We employed a cross-sectional study design. A total of 137 female and 129 male participants with T2DM completed the diabetes knowledge scale (DKN), Diabetes Integration Scale-19 (ATT19), Summary of Diabetes Self-care Activities (SDSCA) scale, and Diabetes Quality of Life (DQoL) scale, measuring diabetes knowledge, attitudes, self-management, and QoL respectively. The SDSCA scale measures diet, exercise, blood glucose monitoring, and foot care. The DQoL scale measures satisfaction and impact of QoL. An initial path model that tested the inter-relationships of the study variables was first identified based on previous research. Then, the path model was tested using Mplus 7.3. In the final model, diabetes knowledge was a significant predictor of attitudes and self-management in terms of blood glucose monitoring and foot care. Attitudes was a significant predictor of impact of QoL. Self-management in terms of blood glucose monitoring was a significant predictor of impact of QoL and diet was a significant predictor of satisfaction and impact of QoL. Exercise and foot care aspects of Self-management were significant predictors of satisfaction and impact of QoL respectively. The final model showed a good fit to the data: RMSEA = .045 (90% CI: .009, .071; Clfit = .601), CFI = .950, SRMR = .058. The findings suggest a theoretical basis to direct the development of appropriate health programs and interventions for improving QoL in people with T2DM and warrant replication in diverse samples.

Reduction of postprandial blood glucose in healthy subjects by buns and flatbreads incorporated with fenugreek seed powder.

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 < 0.01) and to the GI of flatbread from 63 ± 4 to 43 ± 5 (P < 0.01). CONCLUSIONS: These results suggest that replacing 10 % of refined wheat flour with fenugreek seed powder significantly reduces the glycemic response and the GI of buns and flatbreads. Thus, fenugreek powder may be a useful functional ingredient to reduce postprandial glycemia.

Trigonella foenum-graecum seeds lowers postprandial blood glucose in overweight and obese individuals.

This study determined the effects of fenugreek on postprandial plasma glucose (PPG) and satiety among overweight and obese individuals. Fourteen subjects were studied in the morning after overnight fasts on four separate occasions. Glycaemic responses elicited by 50 g carbohydrate portions of white bread and jam with or without 5.5 g of fenugreek and fried rice with or without 5.5 g fenugreek were determined over 2 h. The primary endpoint was the incremental area under the plasma glucose response curve (IAUC). Adding fenugreek to both foods significantly reduced the IAUC compared to the food alone: white bread and jam, 180 ± 22 versus 271 ± 23 mmol × min/L (P = 0.001); fried rice, 176 ± 20 versus 249 ± 25 mmol × min/L (P = 0.001). Fenugreek also significantly reduced the area under the satiety curve for white bread with jam (134 ± 27 versus 232 ± 33 mm × hr, P = 0.01) and fried rice (280 ± 37 versus 379 ± 36 mm × hr, P = 0.01). It is concluded that fenugreek significantly decreased the PPG response and increased satiety among overweight and obese individuals.

Prevalence of metabolic syndrome and its risk factors in adult Malaysians: results of a nationwide survey.

Aim: To report the national prevalence of metabolic syndrome (MetS) and its risk factors among adult Malaysians (>18 years old) based on World Health Organization (WHO), the National Cholesterol Education Program Expert Panel III (ATP III), International Diabetes Federation (IDF) and the 'Harmonized' criteria.Methods: A multi-stage stratified sampling method was used to select 4341 subjects from Peninsular and East Malaysia. Subjects underwent physical and clinical examinations.Results: Based on the WHO, ATP III, IDF and Harmonized definitions, the overall crude prevalences of MetS were 32.1, 34.3, 37.1 and 42.5%, respectively. Regardless of the criteria used, MetS was higher in urban areas, in females, in the Indian population and increased significantly with age. Risk factors also increased with age; abdominal obesity was most prevalent (57.4%), was higher in females (64.2%) and was highest in Indians (68.8%).Hypertension was higher in males (56.5%) and highest among Malays (52.2%). In contrast,the Chinese had the highest prevalence of hypertriglyceridemia (47.4%).Conclusions: Malaysia has a much higher prevalence of MetS compared with other Asian countries and, unless there is immediate intervention to reduce risk factors, this may pose serious implications on the country's healthcare costs and services.

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

AIMS: Our purpose was to determine whether the glycemic index (GI) of individual foods applies to mixed meals. METHODS: The glycemic responses elicited by portions of 4 individual foods with 25 g of available carbohydrate when served alone (rice, lacy pancake, flatbread and noodles) and when made into typical Malaysian mixed meals (coconut milk rice, lacy pancake with chicken curry, flatbread with dhal curry and fried noodles) were measured in 10 subjects with type 2 diabetes. To allow calculation of the GI of the foods and the relative glycemic responses of the mixed meals, each subject also tested 25 g of glucose 3 times. Capillary blood glucose was measured at 30-min intervals for 180 min after consuming each test meal. RESULTS: The mean ± SEM incremental area under the curve (AUC) after flatbread (345 ± 26 mmol × min/l) was significantly greater than after rice (238 ± 35) and lacy pancake (235 ± 31, p < 0.05), with noodles being intermediate (294 ± 35). The AUC after the flatbread with dhal curry (341 ± 49), coconut milk rice (238 ± 39) and fried noodle (272 ± 42) mixed meals were similar to those after the individual foods, but the AUC after the lacy pancake with chicken curry mixed meal (388 ± 52) was significantly greater than after the individual food item (p < 0.01). CONCLUSIONS: The results support the utility of the GI of individual foods such as rice, flatbread and noodles when applied to mixed meals. The reason for the higher response after the lacy pancake mixed meal compared to the individual food is not clear and may warrant further research.

Prevalence of overweight and obesity among adult Malaysians: an update.

A total of 4428 adults (>18 years old) from 5 different selected regions in Peninsular and East Malaysia participated in this health survey. Using World Health Organization recommendations for body mass index (BMI), the prevalence of overweight and obesity were found to be 33.6% (95% CI= 32.2, 35.0) and 19.5% (95% CI= 18.3, 20.7) respectively. There were more females who were obese (22.5%, 95% CI=20.9, 24.0) compared to males (14.1%, 95% CI=12.3, 15.9). Highest prevalence of obesity were among the Indians (24.6%, 95% CI=20.3, 29.3), followed closely by the Malays (23.2%, 95% CI=21.6, 24.8%) and lowest prevalence was among the Chinese subjects (8.2%, 95% CI=6.2, 10.6). More than 43% of the 531 younger subjects (<30 years old) were either overweight (20%, 95% CI=16.6, 23.6) or obese (13.9%, 95% CI=11.1, 17.2%). All subjects who claimed to be non-diabetes were required to undergo 75 g glucose tolerance test. Compared to subjects with normal BMI (18.5-24.9 kg/m2), there was a 3- and 2-folds increase in the prevalence of newly diagnosed diabetes and impaired glucose tolerance respectively, among obese subjects (BMI>30 kg/m2) who initially claimed to have no diabetes. This study highlights a need for more active, inter-sectoral participation advocating a health-promoting environment in order to combat obesity in this country.

Gene expression profiling in ethnic Malays with type 2 diabetes mellitus, with and without diabetic nephropathy.

BACKGROUND: Diabetic nephropathy (DN) is the most common cause of end-stage renal disease (ESRD) among type 2 diabetes mellitus patients (DM) in Malaysia. This study used microarray analysis to determine the gene expression profiling in ethnic Malay patients with type 2 DM. METHODS: A total of 312 patients were recruited; 25 were on dialysis due to ESRD, 128 were classified as normoalbuminuric, 93 as microalbuminuric and 66 as macroalbuminuric, based on urine albumin to creatinine ratio of <3.5, between 3.5 and 35 and =35 mg/mmol, respectively. RESULTS: Microalbuminuria was associated with up- and down-regulation of 2,694 and 2,538 genes, respectively, while macroalbuminuria was associated with up-regulation of 2,520 genes and down-regulation of 2,920 genes. There was significant up-regulation of 1,135 genes and down-regulation of 908 genes in the ESRD samples. Thirty-seven significantly up-regulated genes and 40 down-regulated genes were commonly expressed in all 3 groups of patients with worsening of renal functions. Up-regulated genes included major histocompatibility complex (HLA-C), complement component 3a receptor 1 (C3AR1), solute carrier family 16, member 3 (SLC16A3) and solute carrier family 9 (sodium/hydrogen exchanger) (SLC9A8). Consistently down-regulated genes included were bone morphogenetic phosphatase kinase (BMP2K), solute carrier family 12, member 1 (SLC12A1), solute carrier family 7 (SLC7A2), paternally expressed 10 (PEG10) and protein phosphatase 1 regulatory (inhibitor unit) (PPP1R1C). CONCLUSION: This study has identified several genes of interest, such as HLA-C, SLC16A3, SLC9A8, SLC12A1 and SLC7A2, that require verification of their roles as susceptibility genes for diabetic nephropathy in ethnic Malays with type 2 DM.

Prevalence of metabolic syndrome and its risk factors in adult Malaysians: results of a nationwide survey.

AIM: To report the national prevalence of metabolic syndrome (MetS) and its risk factors among adult Malaysians (>18 years old) based on World Health Organization (WHO), the National Cholesterol Education Program Expert Panel III (ATP III)(,) International Diabetes Federation (IDF) and the 'Harmonized' criteria. METHODS: A multi-stage stratified sampling method was used to select 4341 subjects from Peninsular and East Malaysia. Subjects underwent physical and clinical examinations. RESULTS: Based on the WHO, ATP III, IDF and Harmonized definitions, the overall crude prevalences of MetS were 32.1, 34.3, 37.1 and 42.5%, respectively. Regardless of the criteria used, MetS was higher in urban areas, in females, in the Indian population and increased significantly with age. Risk factors also increased with age; abdominal obesity was most prevalent (57.4%), was higher in females (64.2%) and was highest in Indians (68.8%). Hypertension was higher in males (56.5%) and highest among Malaysians (52.2%). In contrast, the Chinese had the highest prevalence of hypertriglyceridaemia (47.4%). CONCLUSIONS: Malaysia has a much higher prevalence of MetS compared with other Asian countries and, unless there is immediate intervention to reduce risk factors, this may pose serious implications on the country's healthcare costs and services.

Two varieties of honey that are available in Malaysia gave intermediate glycemic index values when tested among healthy individuals.

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.

Glycemic index of common Malaysian fruits.

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.

Early manifestation of macrovasculopathy in newly diagnosed never treated type II diabetic patients with no traditional CVD risk factors.

Type II diabetes patients have increased risk of macrovascular complications compared with the general population. Arterial stiffness is considered as an independent predictor of macrovascular events. This study investigated arterial stiffness in newly diagnosed never treated diabetes and impaired glucose tolerance (IGT) patients without any traditional cardiovascular diseases (CVD) risk factors. After preliminary screening of 1620 individuals, 30 diabetic and 30 IGT patients were recruited and compared with age- and sex-matched 30 normoglycaemic subjects. The subjects were newly diagnosed, never treated, normotensive, non-obese, non-hyperlipidaemic and non-smoker. Haemodynamic variables, pulse wave velocity (PWV) and augmentation index (AI) were measured. The PWV was significantly higher in diabetic patients (10.37+/-2.64m/s vs. 8.70+/-1.29m/s; p=0.035) and was of borderline significant in IGT subjects (9.54+/-1.56m/s vs.8.70+/-1.29m/s, p=0.078) compared to normoglycaemic individuals. Augmentation index was higher of borderline significant in diabetic (134.53+/-17.32% vs. 129.17+/-11.18%, p=0.055) and IGT patients (132.02+/-16.11% vs. 129.17+/-11.18%, p=0.059) compared to normoglycaemic individuals. The study demonstrated that newly diagnosed never treated diabetic patients without any CV complications had early manifestation of macrovascular diseases as evident by increased arterial stiffness. The findings also revealed early manifestations of preclinical vasculopathy and potentially increased risk for development of macrovascular diseases at an early age in diabetic patients.

Insulin sensitivity and secretory status of a healthy malay population.

Insulin insensitivity is a common finding in several metabolic disorders including glucose intolerance, dyslipidemia, hyperuricemia and hypertension. Most of the previous studies on insulin sensitivity were performed on diabetic or obese population. So our knowledge about insulin sensitivity of healthy population remains limited. Rising prevalence of obesity, diabetes and metabolic syndrome is a serious issue in Malaysia and some other rapidly developing countries. So it is important to look at the insulin sensitivity status of healthy Malaysian subjects and to compare it in future with those of diabetic, obese or metabolic syndrome patients. In this study we sampled subjects who were independent of confounding factors such as obesity (including abdominal obesity), hypertension and glucose intolerance (diabetes, IGT or IFG) which may influence insulin sensitivity. Fasting plasma glucose, fasting insulin and lipid profile were determined. Insulin sensitivity and secretory status were calculated using the homeostasis model assessment (HOMA) software (HOMA%S, HOMA%B and HOMA-IR). The insulin sensitivity (HOMA%S) of healthy Malay subjects aged between 30-60 years was 155.17%, HOMA-IR was 1.05 and HOMA%B was 116.65% (values adjusted for age, sex, BMI and waist circumference). It was seen that non-obese Malaysians can prevent age related lowering of insulin sensitivity if they can retain their BMI within limit.