Siravich Thamthitiwat is a 5th year medical student enrolling at Phramongkutklao College of Medicine, Bangkok. He graduated from Assumption College in Bangkok for his high school. He was a president of journal and public relation club and a member of foreign affair club in Phramongkutklao medical cadet union. He is interesting in non-communicable diseases and want to continue working on this researh title in the future for more precise information. Currently, he is working on a project about influence Factors on Influenza Vaccination among Primary School Students’ Guardian in Phra Nakhon Si Ayutthaya Province.


Diabetes mellitus and hypertension are major non-communicable diseases and public health problems. Though many researches were conducted but only few was in rural area. This study objective was to identify factors associated to diabetic and hypertension control. A mixed-method design, a cross-sectional quantitative study and focus-group discussion for qualitative study, was used. We used a standard quantitative questionnaire to collect participants’ demographic data and potential associated factors. Qualitative study was done to determine participants’ associated charactistics. The result revealed that prevalence of poorly controlled type 2 diabetes (n = 232) was below the national average at 54.4%. Factors associated to poor glycemic control were < 60 years old (OR = 3.25, 95%CI: 1.09-9.71, p = 0.002), hypertension as comorbid (OR = 0.05, 95%CI: 0.01-0.36, p = 0.003) and difficulty in getting medicine (OR = 13.71, 95%CI: 1.04-180.43, p = 0.046). The prevalence of poorly controlled hypertension (n =153) was below the national average at 42.2%. Associated factors for poor hypertension control were age (OR = 1.06 , 95%CI: 1-1.13, p = 0.038), obesity (OR = 4.57, 95%CI: 1.5-13.97, p = 0.008) and drug adherence (OR = 3.25, 95%CI: 1.09-9.71). Furthermore in qualitative study we found that difficulty in getting medicine, dietary factors and no community exercise are associate to poor blood pressure and glycemic control. In conclusion, This data will then lead to development of self-care program, to decrease risk of complications and to establish new public health policies for other rural comunities. Despite all significant factors, more research should be conduct to gain better understanding.

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