AIMS: The aim of this study was to determine if osteocalcin is related to adiposity and hyperglycaemia in metabolic syndrome irrespective of the presence of diabetes mellitus.
MATERIALS AND METHODS: This was a cross sectional study of 90 patients (59 men and 31 women) with metabolic syndrome as defined by the International Diabetes Federation criteria. Based on medical history 50 out of 90 patients had a diabetes. Anthropometric data were collected and blood taken for measurement of osteocalcin, fasting lipids, fasting glucose and insulin resistance (using homeostatic model assessment index, HOMA-IR).
RESULTS: Osteocalcin correlated negatively with fasting glucose (r=-0.366, p<0.001) and HOMA-IR (r=-0.305, p<0.05) but not with waist circumference (r=0.079), body mass index (r=0.028), total cholesterol (r=0.061) or triglycerides (r=0.009). Diabetics had higher HOMA-IR (p<0.01) and lower osteocalcin levels (p<0.01) than non-diabetics. Among diabetics, osteocalcin correlated with glucose only (r=-0.341, p=0.015). In non-diabetics, osteocalcin correlated with HOMA-IR (r=-0.359, p=0.023) via insulin (r=-0.402, p=0.010). Patients with impaired fasting glucose levels (5.6-6.9mmol/L) had the same HOMA-IR as diabetics (p=0.076) but not low osteocalcin (p=0.025).
CONCLUSIONS: In this cross-sectional study of subjects with metabolic syndrome and central obesity, low osteocalcin was associated with diabetes but not adiposity.
KEYWORDS: Adiposity; Central obesity; Diabetes; Metabolic syndrome; Osteocalcin
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
BACKGROUND: Diabetes is a metabolic disorder, characterized by hyperglycemic state of the body. A silent killer, which can take the lives of victims if undiagnosed at the earliest stage. Prediabetes has become an important health concern across countries due to its huge potential for the development of diabetes and other complications. The objectives of this study were to determine the prevalence of prediabetes and diabetes and its associated factors among rural fishing communities in Penang, Malaysia.
METHODS: A cross-sectional study was conducted among fishing communities in Southwest District of Penang, Malaysia from August to November 2017. Blood sample (finger prick test) and physical examination were performed on sample of 168 participants consented in this study. Pre-validated Malay versions of International Physical Activity 7 (IPAQ-7) and Perceived Stress Scale (PSS) questionnaires were used to assess the level of physical activity and stress levels of the participants. Multinomial logistic regression models were fitted to identify factors associated with prediabetes and diabetes.
RESULTS: The prevalence of diabetes and prediabetes were 19.6% (95% CI: 14.3, 26.4) and 10.12% (95% CI: 6.4, 15.7) respectively. The median physical activity (interquartile range) in MET-minutes per week for those with diabetes (1071.0 (2120.0)) and prediabetes (1314.0 (1710.0)) was generally lower as compared to non-diabetes. Majority reported moderate stress (57.3%) from PSS system. Abdominal obesity, family history of diabetes and being hypertensive were significant factors associated with diabetes; while older age, bigger waist circumference and self-perceived poor routine diet were factors associated with prediabetes.
CONCLUSIONS: The screening for prediabetes in this population gives the opportunity to implement lifestyle interventions at the earliest possible, which could prevent the development of diabetes. The identification of diabetic individuals provides an opportunity to conduct health promotion and education to ensure good metabolic control and hence reduce the risks of complications.