1.Myanmar diabetes care model: Bridging the gap between urban and rural healthcare delivery
Tint Swe Latt ; Than Than Aye ; Ko Ko ; Ye Myint ; Maung Maung Thant ; Kyar Nyo Soe Myint ; Khin Sanda ; Khaing Lwin ; Htet Htet Khin ; Tin Win Aung ; Kyaw Myint Oo
Journal of the ASEAN Federation of Endocrine Societies 2015;30(2):105-117
There has been significant magnitude of problems of diabetes in Myanmar, according to the estimates of
International Diabetes Federation (IDF) and the recent National Survey on the prevalence of diabetes. There has
been a wide gap of equity between the urban and rural healthcare delivery for diabetes. Myanmar Diabetes Care
Model (MMDCM) aims to deliver equitable diabetes care throughout the country, to stem the tide of rising burden of
diabetes and also to facilitate to achieve the targets of the Global Action Plan for the Prevention and Control of
NCDs (2013-2020). It is aimed to deliver standard of care for diabetes through the health system strengthening at all
level. MMDCM was developed based on the available health system, resources and the country's need.
Implementation for the model was also discussed.
2.Metabolic Syndrome in obese and normal weight Myanmar children
Khin Than Yee ; Theingi Thwin ; Ei Ei Khi ; Ko Ko Zaw ; Nwe Nwe Oo ; Aye Myint Oo ; Lwin Zar Maw ; May Thu Kyaw ; Nwe Ni Aung
Journal of the ASEAN Federation of Endocrine Societies 2013;28(1):52-55
Objectives:
To estimate the frequency of Metabolic Syndrome (MS in Myanmar obese children and to determine the risk factors associated with MS in obese children comparing with normal weight children.
Methodology:
A cross-sectional study was conducted to compare the risk factors for metabolic syndrome between normal and obese children by using the pediatric definition for metabolic syndrome [International Diabetes Federation (IDF), 2007]. Twenty-three obese children (BMI, ≥ 97th percentile) and 23 normal weight children (BMI, < 85th percentile) aged 5-12 years were included in the study. Blood pressure, body weight, height, waist circumference (WC), fasting triglycerides, HDL-cholesterol, total cholesterol and glucose concentrations were determined.
Results:
Based on the IDF pediatric criteria, 9 obese children (39.1%) had metabolic syndrome while no normal weight child had metabolic syndrome. Ten (43.5%) normal weight children and 3 (13.0%) obese children had at least one risk factor for the metabolic syndrome. Central obesity (WC ³ 90th percentile for age and sex), the most common risk factor, was observed in 25 children (54.4% of the total population).
Conclusion
This study highlights the need for early recognition of risk factors for metabolic syndrome in all children to halt the progression of type 2 diabetes and cardiovascular diseases (CVD) in later life.
Metabolic Syndrome
;
Risk Factors
Result Analysis
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