OBJECTIVE: Bimodality in blood glucose (BG) distribution has been demonstrated in several populations with a high prevalence of diabetes and obesity. However, other population studies had not found bimodality, thus casting doubt on its universality. We address this question in four ethnic populations-namely Malay, Chinese, Indian, and the indigenous people of Borneo.
RESEARCH DESIGN AND METHODS: A national health survey was conducted in Malaysia in 1996. A total of 18,397 subjects aged > or =30 years had post-challenge BG measurements taken. To test whether BG was consistent with a bimodal distribution, we fitted unimodal normal and skewed distribution as well a mixture of two normal distributions to the data by age and ethnic groups.
RESULTS: Age-specific prevalence of diabetes varied from 1.3 to 26.3%. In all ethnic/age groups, the bimodal model fitted the log BG data better (likelihood ratio tests, all P values <0.001).
CONCLUSIONS: Bimodality in BG distribution is demonstrable even in populations with a very low prevalence of diabetes and obesity. Previous studies that found unimodality had failed to detect the second mode because of inadequate sample size, bias due to treatment of subjects with known diabetes, and inclusion of subjects with type 1 diabetes in the sample. Bimodality implies that diabetes is a distinct entity rather than an arbitrarily defined extreme end of a continuously distributed measurement.
OBJECTIVE:
To determine the prevalence of prediabetes and diabetes among rural and urban Malaysians.
RESEARCH DESIGN AND METHODS:
This cross-sectional survey was conducted among 3,879 Malaysian adults (1,335 men and 2,544 women). All subjects underwent the 75-g oral glucose tolerance test (OGTT).
RESULTS:
The overall prevalence of prediabetes was 22.1% (30.2% in men and 69.8% in women). Isolated impaired fasting glucose (IFG) and impaired glucose tolerance (IGT) were found in 3.4 and 16.1% of the study population, respectively, whereas 2.6% of the subjects had both IFG and IGT. Based on an OGTT, the prevalence of newly diagnosed type 2 diabetes was 12.6% (31.0% in men and 69.0% in women). The prediabetic subjects also had an increased prevalence of cardiovascular disease risk factors.
CONCLUSIONS:
The large proportion of undiagnosed cases of prediabetes and diabetes reflects the lack of public awareness of the disease.
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.
INTRODUCTION:
Women with previous gestational diabetes mellitus (PGDM) are at increased risk of future glucose intolerance. This study aimed to determine the prevalence of prediabetes and type 2 diabetes mellitus (T2DM), and the associated antenatal and historical risk factors among women with PGDM.
METHODS:
This was a cross-sectional study conducted at University Malaya Medical Centre, Kuala Lumpur, Malaysia. A 75-g 2-hour oral glucose tolerance test was performed in a cohort of multiethnic women with PGDM. Body mass index, waist and hip circumferences, fasting lipid profile and blood pressure were obtained. Data pertaining to the index gestational diabetes mellitus (GDM) were obtained from medical records and interviews.
RESULTS:
448 women were enrolled in the study. The prevalence of prediabetes and T2DM was 26.2% and 35.5%, respectively. On multinomial logistic regression analysis, fasting plasma glucose at diagnosis of index GDM and duration lapse after index GDM were shown to be significantly higher in women with isolated impaired fasting glucose (IFG), combined IFG/impaired glucose tolerance and T2DM, as compared to women with normal glucose tolerance (p < 0.05). 2-hour plasma glucose at diagnosis of index GDM was significantly higher only in women who progressed to T2DM when compared to those that remained normal glucose tolerant (p < 0.05).
CONCLUSION:
In this study, duration lapse after index GDM, fasting plasma glucose and 2-hour plasma glucose at diagnosis of index GDM were important risk factors for early identification of women at high risk for future glucose intolerance. These may be useful for developing potential preventive strategies.
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.
We studied insulin resistance and beta-cell function with reference to ethnic group, glucose tolerance and other coronary artery disease risk factors in a cross section of the Singapore population which comprises Chinese, Malays and Asian Indians. 3568 individuals aged 18-69 were examined. Blood pressure, anthropometric data, blood lipids, glucose and insulin were assayed in the fasting state. Glucose and serum insulin were measured 2 h after an oral glucose challenge. Insulin resistance and beta-cell function were calculated using homeostasis model assessment. Asian Indians had higher insulin resistance than Chinese or Malays. Impaired glucose tolerance (IGT) and diabetes mellitus (DM) were associated with greater insulin resistance and impaired beta-cell function compared to normal glucose tolerance (NGT). Insulin resistance was positively correlated with blood pressure in women and total cholesterol, LDL cholesterol and triglyceride in both men and women. It was negatively correlated with HDL cholesterol and LDL/apolipoprotein B ratio. beta-cell function showed no significant correlations with the cardiovascular risk factors studied. It appears that both impaired beta-cell function and insulin resistance are important for the development of hyperglycemia whereas insulin resistance alone seems more important in the development of coronary artery disease as it correlates with several known coronary artery disease risk factors.