Medicine
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This repository contains the published and unpublished research of the Faculty of Medicine by the staff members of the faculty
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Item High prevalence of overweight/obesity in urban Sri Lanka: findings from the Colombo urban study.(Hindawi Limited, 2019) Somasundaram, N.; Ranathunga, I.; Gunawardana, K.; Ahamed, M.; Ediriweera, D.; Antonypillai, C.N.; Kalupahana, N.BACKGROUND:South Asian countries face a double burden of malnutrition characterized by high prevalence of underweight, overweight, and obesity. Understanding the distribution of this public health problem is important to tailor targeted interventions for communities. The objective of the current study was to find out the prevalence of obesity in urban Sri Lanka and to identify sociodemographic factors associated with it. METHODS:Adult males and females residing in an urban government division of the Colombo District in Sri Lanka were included in this study (Colombo Urban Study). Stratified simple random sampling was used to select a sample of 463 from the total population. Sociodemographic data using an interviewer-administered questionnaire, anthropometric measurements, and serum samples were obtained for investigations. RESULTS: When the global BMI cutoffs were applied, the community prevalences of underweight, normal weight, overweight, and obesity were 7.7%, 39.6%, 37.0%, and 15.8%, respectively. When the Asian BMI cutoffs were applied, the respective prevalences were 7.7%, 26.8%, 34.3%, and 31.2%. The community prevalence for abdominal obesity was 58.1% when using Asian cutoffs. Females had a higher prevalence of both obesity and abdominal obesity. There was an ethnic difference in obesity rates with Moors having the highest rates (65.5%) followed by Sinhalese (52.3%) and Tamils (40.2%). The highest obesity prevalence was observed in the most educated group. Multiple regression analysis showed that high BMI was associated with female gender and family history of hypertension. Serum LDL negatively associated with BMI while the strength of this relationship was impacted by serum HBA1c levels. Finally, serum triglyceride level showed positive association with BMI, and the effect was more marked in Moors compared to Sinhalese. CONCLUSION:Two-thirds of adults in the studied urban population were overweight or obese. This highlights the urgent need for interventions to curb this epidemic. The gender, ethnic differences in obesity, its associations with educational status, and the interactions with metabolic comorbidities indicate that these interventions may need to be targeted towards different groups in the population.Item Screening of cushings syndrome in patients with poorly controlled type 2 diabetes with hypertension and obesity(2018) Karuppiah, D.; Cooray, M.S.A.; Somasundaram, N.; Ediriweera, D.S.INTRODUCTION: Cushing’s syndrome (CS) may be unrecognized in patients with diabetes. There is no consensus on routine screening for CS in patients with type 2 diabetes (T2DM). Aim of the study was to evaluate the prevalence of unsuspected CS in out-patients with diabetes. METHODS: Cross sectional prospective study was conducted at diabetes clinic in National Hospital of Sri Lanka among patients with diabetes who were attending for out-patient visit from January-2016 to January- 2017. Total of 287 patients were investigated with over-night dexamethasone- suppression test (ODST) as a screening test. Patients who fail to suppress serum cortisol less than 50nmol/l were further tested by Low-dose-dexamethasone-suppression test (LDDST). A third step midnight cortisol measurement was performed in patients who were failed to suppress cortisol less than 50nmol/l on LDDST. Fourth step imaging studies with pituitary MRI, abdominal-CT or CT-scan of chest abdomen and pelvis depending on the ACTH levels were performed. RESULTS: Out of 287, 46.18% (133) patients failed to suppress cortisol to less than 50nmol/l on ODST. Among these 133, 23(11.49% of total) patients failed to suppress cortisol less than 50nmol/l on LDDST. Nine out of 23 patients had cortisol more than 140nmol/l on midnight cortisol test, confirming true CS. Further investigations with imaging revealed one with pituitary adenoma, one with adrenal adenoma and 6 had normal imaging. CONCLUSION: Considering the prevalence of definitive CS of 3.18% among poorly controlled T2DM patients with hypertension and obesity suggest that CS is not rare as previously thought. But in our Asian population with T2DM and high prevalence of co-morbidities, taking overnight dexamethasone suppression test alone as a screening test would not be a suitable test to screen CS.Item Lifestyle patterns and dysglycaemic risk in urban Sri Lankan women(Cambridge University Press, 2014) Waidyatilaka, I.; de Silva, A.; de Lanerolle-Dias, M.; Wickremasinghe, R.; Atukorala, S.; Somasundaram, N.; Lanerolle, P.Specific dietary patterns are associated with the risk of chronic disease. An in-depth understanding more reflective of lifestyle would be possible when assessing the synergistic effects of both diet and physical activity in pattern analysis. In the present study, we examined the biochemical markers of dysglycaemia and cardiometabolic risk in relation to lifestyle patterns using principal component analysis (PCA). Urban women (n 2800) aged 30-45 years were screened for dysglycaemia using cluster sampling from the Colombo Municipal Council area. All the 272 dysglycaemic women detected through screening and 345 randomly selected normoglycaemic women were enrolled. The International Physical Activity Questionnaire and a quantitative FFQ were used to assess physical activity and diet, respectively. Anthropometric measurements, bioelectrical impedance analysis and biochemical estimations were carried out. Lifestyle patterns were identified based on dietary and physical activity data using exploratory factor analysis. PCA was used for the extraction of factors. A total of three lifestyle patterns were identified. Women who were predominantly physically inactive and consumed snacks and dairy products had the greatest cardiometabolic risk, with a higher likelihood of having unfavourable obesity indices (increased waist circumference, fat mass percentage and BMI and decreased fat-free mass percentage), glycaemic indices (increased glycosylated Hb (HbA1c) and fasting blood sugar concentrations) and lipid profile (increased total cholesterol/TAG and decreased HDL-cholesterol concentrations) and increased high-sensitivity C-reactive protein concentrations. For the first time, we report lifestyle patterns and demonstrate the synergistic effects of physical activity/inactivity and diet and their relative association with cardiometabolic risk in urban women. Lifestyle pattern analysis greatly increases our understanding of high-risk behaviours occurring within real-life complexities. © The Authors 2014