The association of the dietary approach to stop hypertension (DASH) diet with blood pressure, glucose and lipid profiles in Malaysian and Philippines populations.

BACKGROUND AND AIM: Despite a growing body of evidence from Western populations on the health benefits of Dietary Approaches to Stop Hypertension (DASH) diets, their applicability in South East Asian settings is not clear. We examined cross-sectional associations between DASH diet and cardio-metabolic risk factors among 1837 Malaysian and 2898 Philippines participants in a multi-national cohort. METHODS AND RESULTS: Blood pressures, fasting lipid profile and fasting glucose were measured, and DASH score was computed based on a 22-item food frequency questionnaire. Older individuals, women, those not consuming alcohol and those undertaking regular physical activity were more likely to have higher DASH scores. In the Malaysian cohort, while total DASH score was not significantly associated with cardio-metabolic risk factors after adjusting for confounders, significant associations were observed for intake of green vegetable [0.011, standard error (SE): 0.004], and red and processed meat (-0.009, SE: 0.004) with total cholesterol. In the Philippines cohort, a 5-unit increase in total DASH score was significantly and inversely associated with systolic blood pressure (-1.41, SE: 0.40), diastolic blood pressure (-1.09, SE: 0.28), total cholesterol (-0.015, SE: 0.005), low-density lipoprotein cholesterol (-0.025, SE: 0.008), and triglyceride (-0.034, SE: 0.012) after adjusting for socio-demographic and lifestyle groups. Intake of milk and dairy products, red and processed meat, and sugared drinks were found to significantly associated with most risk factors. CONCLUSIONS: Differential associations of DASH diet and dietary components with cardio-metabolic risk factors by country suggest the need for country-specific tailoring of dietary interventions to improve cardio-metabolic risk profiles.

Factors associated with diabetes-related distress over time among patients with T2DM in a tertiary hospital in Singapore.

BACKGROUND: Persistent diabetes-related distress (DRD) is experienced by patients with Type 2 Diabetes Mellitus. Knowing factors associated with persistent DRD will aid clinicians in prioritising interventions efforts. METHODS: A total of 216 patients were recruited from a tertiary hospital in Singapore, an Asian city state, and followed for 1.5 years (2011-2014). Data was collected by self-completed questionnaires assessing DRD (measured by the Problem Areas in Diabetes score) and other psychosocial aspects such as social support, presenteeism, depression, health-related quality of life (HRQoL) and excessive daytime sleepiness (EDS) at three time points. Clinical data (body-mass-index and glycated haemoglobin) was obtained from medical records. Change score was calculated for each clinical and psychosocial variable to capture changes in these variables from baseline. Generalized Linear Model with Generalized Estimating Equation method was used to assess whether baseline and change scores in clinical and psychosocial are associated with DRD over time. RESULTS: Complete data was available for 73 patients, with mean age 44 (SD 12.5) years and 67% males. Persistent DRD was experienced by 21% of the patients. In the final model, baseline HRQoL (OR = 0.56, p < 0.05) and change score of EDS (OR = 1.22, p < 0.05) was significantly associated with DRD over time. CONCLUSIONS: EDS might be a surrogate marker for persistent DRD and should be explored in larger samples of population to confirm the findings from this study.

The contribution of recently identified adult BMI risk loci to paediatric obesity in a Singaporean Chinese childhood dataset.

INTRODUCTION: Recent genome-wide association studies have identified 103 adult obesity risk loci; however, it is unclear if these findings are relevant to East-Asian childhood body mass index (BMI) levels. METHODS AND RESULTS: We evaluated for paediatric obesity associations at these risk loci utilizing genome-wide data from Chinese childhood subjects in the Singapore Cohort study Of the Risk factors for Myopia study (N = 1006). A weighted gene-risk score of all adult obesity risk loci in the Singapore Cohort study Of the Risk factors for Myopia study showed strong associations with BMI at age 9 (p-value = 3.40 × 10-12 ) and 4-year average BMI (age 9 to 12, p-value = 6.67 × 10-8 ). Directionally consistent nominal associations for 15 index single nucleotide polymorphisms (SNPs) (p-value < 0.05) were observed. Pathway analysis with genes from these 15 replicating loci revealed over-representation for the G-protein-coupled receptor (GPCR)-mediated integration of entero-endocrine signalling pathway exemplified by L-cell (adjusted p-value = 0.018). Evaluations of birth weight to modify the effects of BMI risk SNPs in paediatric obesity did not reveal significant interactions, and these SNPs were generally not associated with birth weight. CONCLUSIONS: At least some common adult BMI risk variants predispose to paediatric obesity risk in East-Asians.

The EQ-5D-5L is More Discriminative Than the EQ-5D-3L in Patients with Diabetes in Singapore.

OBJECTIVES: To compare the discriminative power of the five-level version of the EuroQol five-dimensional questionnaire (EQ-5D-5L [5L]) and its three-level version (EQ-5D-3L [3L]) in patients with diabetes in Singapore. METHODS: A consecutive sample of patients with type 2 diabetes mellitus (T2DM) self-completed the two versions of the EQ-5D in the clinic. The 3L index score was calculated from the Singapore 3L value set, whereas the 5L index score was mapped from the 5L index score using an interim scoring. The discriminative power of the two EQ-5D indices was assessed in terms of their relative efficiency (RE) in differentiating patients with T2DM with and without one of eight clinical conditions. The efficiency of the two EQ-5D classification systems was evaluated using the Shannon's index (H׳) and in terms of ceiling effects. RESULTS: A total of 121 patients with T2DM provided data for this study. The 3L score was systematically higher than the 5L score for patients with T2DM with a condition and systematically lower for the patients without a condition, with the mean differences being 0.005 and -0.011, respectively. The 5L index score showed higher RE in seven of eight clinical conditions (mean RE 1.87). The 5L classification system had higher H׳ in all dimensions: mobility (1.17 vs. 0.70), self-care (0.57 vs. 0.41), usual activities (1.01 vs. 0.72), pain/discomfort (1.47 vs. 1.02), and anxiety/depression (1.36 vs. 1.10). The overall ceiling effects decreased from 47.9% (3L) to 38.8% (5L). CONCLUSIONS: The EQ-5D-5L is more discriminative than the EQ-5D-3L in patients with T2DM in Singapore, supporting the use of EQ-5D-5L in the population.

Smaller size of high metabolic rate organs explains lower resting energy expenditure in Asian-Indian Than Chinese men.

BACKGROUND: In Singapore, the obesity prevalence is disproportionately higher in the Asian-Indians and Malays than the Chinese. Lower resting energy expenditure (REE) may be a contributory factor. OBJECTIVE: We explored the association between ethnicity and REE in Chinese, Asian-Indian and Malay men living in Singapore and determined the influence of body composition, mass/volume of high metabolic rate organs, represented by brain volume and trunk fat-free mass (FFM), and physical activity on ethnic differences. DESIGN: Two hundred and forty-four men from Singapore (n=100 Chinese, 70 Asian-Indians and 74 Malays), aged 21-40 years and body mass index of 18.5-30.0 kg m(-2), were recruited in this cross-sectional study. REE was assessed by indirect calorimetry and body composition by dual-energy X-ray absorptiometry. Brain volume was measured by magnetic resonance imaging. Physical activity was assessed by the Singapore Prospective Study Program Physical Activity Questionnaire. RESULTS: REE was significantly lower in Asian-Indians compared with that in Chinese after adjusting for body weight. FFM (total, trunk and limb) and total fat mass were important predictors of REE across all ethnic groups. Brain volume was positively associated with REE only in Malays. Moderate and vigorous physical activity was positively associated with REE only in Asian-Indians and Malays. The difference in REE between Asian-Indians and Chinese was attenuated but remained statistically significant after adjustment for total FFM (59±20 kcal per day), fat mass (67±20 kcal per day) and brain volume (54±22 kcal per day). The association between REE and ethnicity was no longer statistically significant after total FFM was replaced by trunk FFM (which includes heart, liver, kidney and spleen) but not when it was replaced by limb FFM (skeletal muscle). CONCLUSIONS: We have demonstrated a lower REE in Asian-Indians compared with Chinese who may contribute to the higher rates of obesity in the former. This difference could be accounted for by differences in metabolically active organs.

Ethnic disparities in risk of cardiovascular disease, end-stage renal disease and all-cause mortality: a prospective study among Asian people with Type 2 diabetes.

AIM: To study prospectively the ethnic-specific risks of cardiovascular disease, end-stage renal disease and all-cause mortality in patients with Type 2 diabetes mellitus among native Asian subpopulations. METHODS: A total of 2337 subjects with Type 2 diabetes (70% Chinese, 17% Malay and 13% Asian Indian) were followed for a median of 4.0 years. Time-to-event analysis was used to study the association of ethnicity with adverse outcomes. RESULTS: Age- and gender-adjusted hazard ratios for cardiovascular disease in ethnic Malay and Asian Indian subjects were 2.01 (1.40-2.88; P<0.0001) and 1.60 (1.07-2.41; P=0.022) as compared with Chinese subjects. Adjustment for conventional cardiovascular disease risk factors, including HbA1c , blood pressure and lipid profile, slightly attenuated the hazards in Malay (1.82, 1.23-2.71; P=0.003) and Asian Indian subjects (1.47, 0.95-2.30; P=0.086); However, further adjustment for baseline renal function (estimated GFR) and albuminuria weakened the cardiovascular disease risks in Malay (1.48, 0.98-2.26; P=0.065) but strengthened that in Asian Indian subjects (1.81, 1.14-2.87; P=0.012). Competing-risk regression showed that the age- and gender-adjusted sub-distribution hazard ratio for end-stage renal disease was 1.87 (1.27-2.73; P=0.001) in Malay and 0.39 (0.18-0.83; P=0.015) in Asian Indian subjects. Notably, the difference in end-stage renal disease risk among the three ethnic groups was abolished after further adjustment for baseline estimated GFR and albuminuria. There was no significant difference in risk of all-cause mortality among the three ethnic groups. CONCLUSIONS: Risks of cardiovascular and end-stage renal diseases in native Asian subjects with Type 2 diabetes vary substantially among different ethnic groups. Differences in prevalence of diabetic kidney disease may partially explain the ethnic disparities.

Ethnic differences in insulin sensitivity and beta-cell function among Asian men.

BACKGROUND AND OBJECTIVES: Lean Asian Indians are less insulin sensitive compared with Chinese and Malays, but the pancreatic beta-cell function among these ethnic groups has yet to be studied in depth. We aimed to study beta-cell function in relation to insulin sensitivity among individuals of Chinese, Malay and Asian-Indian ethnicity living in Singapore. SUBJECTS AND METHODS: This is a sub-group analysis of 59 normoglycemic lean (body mass index (BMI) <23 kg m(-)(2)) adult males (14 Chinese, 21 Malays and 24 Asian Indians) from the Singapore Adults Metabolism Study. Insulin sensitivity was determined using fasting state indices (homeostatic model assessment-insulin resistance), the euglycemic-hyperinsulinemic clamp (ISI-clamp) and a liquid mixed-meal tolerance test (LMMTT) (Matsuda insulin sensitivity index (ISI-Mat)). Beta-cell function was assessed using fasting state indices (homeostatic model assessment-beta-cell function) and from the LMMTT (insulinogenic index and insulin secretion index). The oral disposition index (DI), a measure of beta-cell function relative to insulin sensitivity during the LMMTT, was calculated as a product of ISI-Mat and insulin secretion index. RESULTS: Asian Indians had higher waist circumference and percent body fat than Chinese and Malays despite similar BMI. Overall, Asian Indians were the least insulin sensitive whereas the Chinese were most insulin sensitive. Asian Indians had higher beta-cell function compared with Chinese or Malays but these were not statistically different. Malays had the highest incremental area under the curve for glucose during LMMTT compared with Asian Indians and Chinese. However, there were no significant ethnic differences in the incremental insulin area under the curve. The oral DI was the lowest in Malays, followed by Asian Indians and Chinese. CONCLUSION: Among lean Asians, Chinese are the most insulin sensitive whereas Asian Indians are the least insulin sensitive. However, Malays demonstrate higher postprandial glucose excursion with lower beta-cell response compare with Chinese or Asian Indians. The paths leading to type 2 diabetes mellitus might differ between these Asian ethnic groups.

Anthropometrics indices of obesity, and all-cause and cardiovascular disease-related mortality, in an Asian cohort with type 2 diabetes mellitus.

AIM: The study investigated the relationship of general (body mass index [BMI]) and central (waist circumference [WC]; waist-hip ratio [WHipR]; waist-height ratio [WHeightR]) adiposity with all-cause and cardiovascular disease (CVD)-related mortality in an Asian population with diabetes. METHODS: A total of 13,278 participants with type 2 diabetes mellitus (T2DM) recruited from public-sector primary-care and specialist outpatients clinics in Singapore were followed-up for a median duration of 2.9 years, during which time there were 524 deaths. Cox proportional-hazards regression and competing-risk models were used to obtain hazard ratios (HRs) for anthropometric variables of all-cause and CVD-related mortality. RESULTS: After adjusting for BMI, the highest quintiles of WC, WHipR and WHeightR were all positively associated with mortality compared with the lowest quintiles, with WHeightR exhibiting the largest effect sizes [all-cause mortality HR: 2.13, 95% confidence interval (CI): 1.33-3.42; CVD-related mortality HR: 3.42, 95% CI: 1.62-7.19]. Being overweight but not obese (BMI:≥23.0 but<27.5kg/m(2)) was associated with a decreased risk of CVD-related mortality in those aged≥65 years (HR: 0.47, 95% CI: 0.29-0.75), but not in those aged<65 years (HR: 1.11, 95% CI: 0.49-2.50). CONCLUSION: Overweight, but not obesity, was associated with a reduction in risk of mortality. This was seen in T2DM patients aged≥65 years, but not in those younger than this. At the same BMI, having higher central-obesity indices such as WC, WHipR and WHeightR also increased the risk of mortality.

Sensitivity of three widely used questionnaires for measuring psychological distress among patients with type 2 diabetes mellitus.

BACKGROUND: Although a range of generic and diabetes-specific instruments are available to assess emotional distress, no studies have evaluated sensitivity in relation to sample size requirement. The present study sets out to compare the sensitivity among the Diabetes Health Profile Psychological Distress scale (DHP-PD), Problem Areas in Diabetes (PAID) and Kessler-10 Psychological Distress scale (K10). We hypothesized that the diabetes-specific measures (DHP-PD and PAID) would require smaller sample sizes than the generic measure (K10), yet remain specific. RESEARCH DESIGN: A total of 208 patients with type 2 diabetes mellitus (mean age 45.2 (12.4) years; 63.1 % males, 45.8 % Chinese, 11.3 % Malay and 26.6 % Indian), recruited from a Singapore tertiary hospital diabetes clinic, completed the English DHP-PD, PAID and K10. Clinical information derived from medical records and HbA1c was recorded. Effect sizes (ES), ratio of ES and sample size requirement relative to the most sensitive questionnaire were computed. RESULTS: A comparison of patients with good versus poor glycaemic control (HbA1c ≥ 7.0) revealed that using K10 will require 4 times the sample size of a study using the PAID in order to detect the same level of psychological distress. The DHP-PD and PAID had similar sensitivity when comparing between patients with good versus poor glycaemic control. CONCLUSIONS: As hypothesized, sample size requirement is largest for K10 and remarkably similar for PAID and DHP-PD. This information is useful for designing clinical trials and studies.

Ministry of Health Clinical Practice Guidelines: Diabetes Mellitus.

The Ministry of Health (MOH) have updated the clinical practice guidelines on Diabetes Mellitus to provide doctors and patients in Singapore with evidence-based treatment for diabetes mellitus. This article reproduces the introduction and executive summary (with recommendations from the guidelines) from the MOH clinical practice guidelines on Diabetes Mellitus, for the information of SMJ readers. Chapters and page numbers mentioned in the reproduced extract refer to the full text of the guidelines, which are available from the Ministry of Health website: http://www.moh.gov.sg/content/moh_web/healthprofessionalsportal/doctors/guidelines/cpg_medical.html. The recommendations should be used with reference to the full text of the guidelines. Following this article are multiple choice questions based on the full text of the guidelines.

Prevalence and risk factors for retinopathy in persons without diabetes: the Singapore Indian Eye Study.

PURPOSE: To describe prevalence and risk factors for retinopathy in an Asian Indian population without diabetes. METHODS: A population-based cross-sectional study of 3400 Indians aged 40-80 years residing in Singapore was conducted. Retinopathy was assessed from retinal photographs by trained graders using modified Airlie House Classification System. Risk factors were assessed from standardized interviews, clinical examinations and laboratory investigations. Diabetes mellitus was defined as glycosylated haemoglobin ≥6.5%, use of diabetic medication or physician diagnosis of diabetes. RESULTS: Among the 1900 individuals without diabetes, mean HbA1c was 5.7% and mean systolic blood pressure was 132.4 mmHg. Age-standardized prevalence of retinopathy was 5.05% (n = 98; 95% confidence interval [CI], 4.07-6.21), with no significant difference in retinopathy prevalence between males (6.15%) and females (4.13%). Among non-diabetic persons with retinopathy, 96.9% (n = 95) had signs of minimal-to-mild retinopathy while 3.06% (n = 3) had moderate-to-severe retinopathy. After adjusting for multiple covariables, retinopathy signs were associated with higher levels of HbA1c (odds ratio [OR], 2.4; 95% CI, 1.3-4.5; per% increase), systolic blood pressure (OR, 1.02; 95% CI, 1.01-1.03; per mmHg increase) and serum creatinine (OR, 1.005; 95% CI, 1.002-1.009; per mm increase), but not C-reactive protein, cigarette smoking or lipid levels. CONCLUSION: One in 20 Asian Indian persons without diabetes had retinopathy signs. Risk factors for these signs include higher glycosylated haemoglobin, systolic blood pressure and serum creatinine.

Does diabetes have an impact on health-state utility? a study of Asians in Singapore.

OBJECTIVE: Our objective was to compare the time trade-off (TTO) values of EQ-5D-3L health states elicited from Singaporeans with and without type 2 diabetes mellitus (T2DM) and T2DM patients with and without complications. METHODS: The TTO values of ten EQ-5D-3L health states were elicited from a consecutive sample of T2DM patients and a general Singaporean population sample using similar valuation protocols. In face-to-face interviews, T2DM patients and members of the general population were asked to value five and ten health states, respectively. The difference in TTO values between the two samples and between T2DM patients with and without complications was examined using multiple linear regression models. RESULTS: A total of 109 T2DM patients and 46 individuals without T2DM provided data. All ten health states considered, the mean TTO value was -0.02 for the general population sample and -0.04 for T2DM patients, with the unadjusted and adjusted difference being -0.06 (95 % confidence interval [CI] -0.16, 0.03) and 0.02 (95 % CI -0.12, 0.15). The general population sample had systematically lower TTO values for mild health states, with the adjusted difference being -0.13 (95 % CI -0.25, -0.02); while the two samples had similar TTO values for severe health states, with the adjusted difference being 0.02 (95 % CI -0.16, 0.19). T2DM patients without complications had systematically lower TTO values than those with complications, with the adjusted difference being -0.10 (95 % CI -0.23, 0.03). CONCLUSIONS: It appears that diabetes and its complications affect patients' valuation of health states. Hence, the EQ-5D-3L health-state values based on the general population may underestimate the utility of health interventions for T2DM.

Associations between ethnicity, body composition, and bone mineral density in a Southeast Asian population.

CONTEXT AND OBJECTIVE: Chinese men in Singapore have a higher incidence of hip fractures than Malay and Indian men. We investigated whether there were corresponding ethnic differences in peak bone mineral density (BMD) in young men and whether differences in body composition influenced peak BMD. DESIGN AND SETTING: This was a cross-sectional study of healthy volunteers in a tertiary medical center. PARTICIPANTS: A total of 100 Chinese, 82 Malay, and 80 Indian men aged 21 to 40 years, with body mass index between 18 and 30 kg/m(2) underwent dual-energy x-ray absorptiometry to assess BMD, lean mass (LM) and fat mass (FM), and magnetic resonance imaging to quantify abdominal subcutaneous and visceral adipose tissue. Multiple linear regression models, with adjustment for age and height (as a proxy for skeletal size), were used. RESULTS: Malay and Indian men had significantly higher BMD than Chinese men at the lumbar spine (Malay: B, 0.06 ± 0.02, P = .001; Indian: B, 0.03 ± 0.02, P = .049), femoral neck (Malay: B 0.04 ± 0.02, P = .034; Indian: B, 0.04 ± 0.02, P = .041), hip (Malay: B, 0.05 ± 0.02, P = .016; Indian: B, 0.06 ± 0.02, P = .001), and ultradistal radius (Malay: B, 0.03 ± 0.01, P < .001; Indian: B, 0.02 ± 0.01, P = .029), and this difference was retained after adjustment for LM and FM, except in Malay men at the femoral neck and in Indian men at the ultradistal radius. LM was an important independent determinant of BMD at all sites, whereas FM, subcutaneous adipose tissue, and visceral adipose tissue were not significantly associated with BMD at any site. CONCLUSIONS: Lower peak BMD in Chinese men may partly explain the higher fracture incidence in this ethnic group. Further studies are needed to elucidate the reasons for these ethnic differences in bone accumulation.

Associations between complications and health-related quality of life in individuals with diabetes.

OBJECTIVE: Type 2 diabetes and associated complications adversely affect health-related quality of life (HRQoL). However, it is unclear whether different complications have the same or different associations with HRQoL. We examined associations between retinopathy, nephropathy, peripheral neuropathy (microvascular), coronary heart disease, stroke and peripheral arterial disease (macrovascular) in diabetes and HRQoL. DESIGN: This study was a follow-up examination between 2004 and 2007 of participants from four previous cross-sectional population-based studies in Singapore. METHODS: Health-related quality of life was assessed through self-administered SF-36 health survey version 2. Diabetes and complications status were assessed through self-report, clinical and laboratory examinations. About 2601 individuals, 2205 healthy and 396 with diabetes, were studied. RESULTS: Lower physical component scores (PCS) were associated with microvascular (2.96 points, P < 0.001) and both macro- and microvascular complications (4.67 points, P < 0.001), but not diabetes alone. Coronary heart disease (3.86 points, P = 0.007), peripheral neuropathy (11.46 points, P < 0.001) and severe retinopathy (4.46 points, P < 0.001) were associated with lower PCS. The greatest reduction in scores was seen in peripheral neuropathy. CONCLUSIONS: Quality of life in patients with diabetes is affected mainly by presence of complications, and not diabetes per se. Peripheral neuropathy was associated with the greatest reduction in quality of life. Improved management to prevent or delay onset of complications may reduce the effect on quality of life in patients with diabetes.

Predicting preference-based SF-6D index scores from the SF-8 health survey.

PURPOSE: To develop and test functions for predicting the preference-based SF-6D index scores from the SF-8 health survey. METHODS: This study was a secondary analysis of data collected in a population health survey in which respondents (n = 7,529) completed both the SF-36 and the SF-8 questionnaires. We examined seven ordinary least-square estimators for their performance in predicting SF-6D scores from the SF-8 at both the individual and the group levels. RESULTS: In general, all functions performed similarly well in predicting SF-6D scores, and the predictions at the group level were better than predictions at the individual level. At the individual level, 42.5-51.5% of prediction errors were smaller than the minimally important difference (MID) of the SF-6D scores, depending on the function specifications, while almost all prediction errors of the tested functions were smaller than the MID of SF-6D at the group level. At both individual and group levels, the tested functions predicted lower than actual scores at the higher end of the SF-6D scale. CONCLUSIONS: Our study developed functions to generate preference-based SF-6D index scores from the SF-8 health survey, the first of its kind. Further research is needed to evaluate the performance and validity of the prediction functions.

Serum C-reactive protein level and prehypertension in two Asian populations.

Few previous studies in Western populations have reported an association between C-reactive protein (CRP) and prehypertension. However, no previous study has examined this association in Asians. We examined individuals who were free of hypertension from two independent population-based studies in Singapore: the Singapore Prospective Study Programme (SP2, n=2843 Chinese, Malay and Indians aged 24 years) and the Singapore Malay Eye Study (SiMES, n=957 Malays, aged 40-80 years). Prehypertension was defined as systolic blood pressure (BP) 120-139 mm Hg or diastolic BP 80-89 mm Hg. CRP was analyzed as categories (<1, 1-3, >3 mg l(-1)). The prevalence of prehypertension increased with increasing categories of CRP in both cohorts (P for trend <0.05 in both cohorts). After adjusting for potential confounders including body mass index (BMI), smoking and diabetes, persons with higher levels of CRP were more likely to have prehypertension in both SP2 (compared with CRP <1 mg l(-1), odds ratio (OR) 1.23, 95% confidence interval (CI) 1.03-1.48 for CRP 1-3 and OR 1.67, 95% CI 1.32-2.10 for >3 mg l(-1)) and SiMES (OR 1.45, 95% CI 1.04-2.01 and OR 1.56, 95% CI 1.07-2.27) respectively. In conclusion, data from two population-based Asian cohorts suggest that elevated serum CRP levels are associated with prehypertension.

KCNQ1 SNPS and susceptibility to diabetic nephropathy in East Asians with type 2 diabetes.

AIMS/HYPOTHESIS: A Japanese study had earlier reported that KCNQ1 single-nucleotide polymorphisms (SNPs) may be associated with diabetic nephropathy. To further investigate this finding, we analysed three SNPs, rs2237895, rs2237897 and rs2283228, within the KCNQ1 locus for association with albuminuria among Chinese type 2 diabetic patients residing in Singapore. Albuminuria was analysed as both categorical (micro- and macroalbuminuria) and continuous traits (log(e) albumin/creatinine ratio [ACR]). METHODS: A total of 752 Chinese patients with type 2 diabetes were included in the study. Albuminuria was determined by ACR using spot urine samples, and renal function was approximated using estimated GFR. Genotyping was performed using invader and Taqman assays as appropriate. Multivariate regression analyses were used to analyse the associations between SNPs and renal traits. RESULTS: Significant associations were detected between rs2283228 and macroalbuminuria (p < 0.001, corrected p < 0.01), as well as log(e) ACR (p = 0.004, corrected p = 0.036) after multiple hypothesis testing and adjustment for potential confounding. A trend of increasing OR was observed with increasing severity of diabetic nephropathy (low and high microalbuminuria, macroalbuminuria). rs2237897, previously implicated in the earlier Japanese study, was also associated with macroalbuminuria, but this finding did not remain significant after correction for multiple testing. Meta-analyses of the Chinese and Japanese studies revealed both SNPs to be significantly associated with macroalbuminuria. CONCLUSIONS/INTERPRETATION: Together with the previous Japanese study, our findings support the hypothesis that, in addition to KCNQ1 being an established type 2 diabetes gene, genetic variation in this gene may contribute to susceptibility to diabetic nephropathy in East Asians.

Review of key findings from the Singapore Malay Eye Study (SiMES-1).

INTRODUCTION: This study highlights the key epidemiological findings from the Singapore Malay Eye Study (SiMES-1). METHODS: SiMES-1 was a cross-sectional, population-based epidemiological study on eye diseases. It was performed on 3,280 randomly selected Malay adults living in the south-western part of Singapore. All study participants underwent various validated questionnaires and detailed eye examinations. A review of all papers published from SiMES-1 was performed. RESULTS: A total of 24.6% of the study population had myopia, while 35.3% had hyperopia and 39.4% had astigmatism. 20.4% of the population had under-corrected refractive error. 1,338 (45.7%) participants were diagnosed to have cataracts in at least one eye. 8.6% of the study population had undergone cataract surgery in either eye, while 4.7% had bilateral cataract surgery. 150 (4.6%) participants were diagnosed to have glaucoma, of which primary open angle glaucoma was the most common type (3.2% of the study population), followed by secondary glaucoma (0.8%) and primary angle closure glaucoma (0.2%). Pterygium was diagnosed in 508 out of 3,266 study participants, giving a prevalence rate of 15.6%. The presence of diabetic retinopathy was observed in 421 (12.9%) out of 3,265 study participants. 183 (5.6%) study participants had some degree of age-related macular degeneration (AMD), of which 23 (0.7%) were classified as having late AMD. CONCLUSION: This paper provides a summary of the prevalence of common eye diseases among the Singaporean adult Malay population and provides data useful for public health education and disease prevention.

Ethnicity modifies the relation between fasting plasma glucose and HbA1c in Indians, Malays and Chinese.

AIMS: To study whether HbA(1c) , and its relationship with fasting plasma glucose, was significantly different among Chinese, Malays and Indians in Singapore. METHODS: A sample of 3895 individuals without known diabetes underwent detailed interview and health examination, including anthropometric and biochemical evaluation, between 2004 and 2007. Pearson's correlation, analysis of variance and multiple linear regression analyses were used to examine the influence of ethnicity on HbA(1c) . RESULTS: As fasting plasma glucose increased, HbA(1c) increased more in Malays and Indians compared with Chinese after adjustment for age, gender, waist circumference, serum cholesterol, serum triglyceride and homeostasis model assessment of insulin resistance (P-interaction < 0.001). This translates to an HbA(1c) difference of 1.1 mmol/mol (0.1%, Indians vs. Chinese), and 0.9 mmol/mol (0.08%, Malays vs. Chinese) at fasting plasma glucose 5.6 mmol/l (the American Diabetes Association criterion for impaired fasting glycaemia); and 2.1 mmol/mol (0.19%, Indians vs. Chinese) and 2.6 mmol/mol (0.24%, Malays vs. Chinese) at fasting plasma glucose 7.0 mmol/l, the diagnostic criterion for diabetes mellitus. CONCLUSIONS: Using HbA(1c) in place of fasting plasma glucose will reclassify different proportions of the population in different ethnic groups. This may have implications in interpretation of HbA(1c) results across ethnic groups and the use of HbA(1c) for diagnosing diabetes mellitus.