The trial lecture will be held as a video conference over Zoom.
The digital trial lecture will follow regular procedure as far as possible, hence it will be open to the public and the audience can ask ex auditorio questions when invited to do so.
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Digital Trial Lecture – time and place
Adjudication committee
- First opponent: Professor Per-Henrik Groop, University of Helsinki, Finland
- Second opponent: Senior Researcher Sidsel Graff-Iversen, Norwegian Institute of Public Health
- Third member and chair of the evaluation committee: Professor Odd Aalen, University of Oslo
Chair of the Defence
Associate professor Stig Tore Bogstrand, University of Oslo
Principal Supervisor
Associate professor Tone Kristin Omsland, University of Oslo
Summary
Bangladesh is among the top ten countries for diabetes mellitus type 2 (T2DM) worldwide and the prevalence is expected to rise further according to the International Diabetes Federation (IDF). The purpose of the study was to compare the risk indicators of T2DM, i.e., a cluster of risk factors for diabetes and heart diseases, called metabolic syndrome (MS) and dyslipidemia (blood lipid-fat disturbances) with a diagnostic tool popularly called risk scores for diabetes, modified for Bangladeshi population “Bangladesh Diabetes Risk Score (BDRS).” We examined the usefulness of BDRS for early detection of T2DM as a public health measure in rural Bangladesh.
We have collected data from a rural community situated 40 km north of the capital Dhaka city called “Chandra Rural Diabetes Study- CRDS.” A total of 3000 individuals aged ≥20 years were selected randomly from ten randomly selected villages. Among them, 2376 (79.2%) participated. A structured questionnaire, including socio-demographic factors, anthropometric measurements like body mass index (BMI), blood pressure, and venous blood (both fasting and after 2 hours of a glucose load) was recorded.
Our study revealed a high prevalence of T2DM and related cardiometabolic risk factors in the rural Bangladeshi population. The increased prevalence of risk factors for T2DM among the study population includes obesity and central obesity, high blood pressure, MS, and dyslipidemia. The prevalence of MS and dyslipidemia showed a significant association with T2DM and prediabetes.
Further, we found that BDRS was a sensitive screening tool to detect T2DM risk and to identify MS, dyslipidemia, and heart disease, even in the general population. Early detection of cases of T2DM and its risk factors through the risk score (BDRS) is likely to be cost-effective for preventing complications, thereby unnecessary sufferings, both for individual patients and the society at large.
Additional information
Contact the research support staff.