Spatial pattern detection can be a useful tool for understanding the geographical distribution of hypertension (HT). The aim of this study was to apply the technique of local indicators of spatial association statistics to examine the spatial patterns of HT in the 76 provinces of Thailand. Previous studies have demonstrated that socioeconomic status (SES), economic growth, population density and urbanization have effects on the occurrence of disease. Research has suggested that night-time light (NTL) can be used as a proxy for a number of variables, including urbanization, density, economic growth and SES. To date, there has not been any study on spatial patterns of HT and there is no information on how NTL might correlate with HT. Therefore, this study has investigated NTL as a parameter for detection of hotspots of HT in Thailand. It was found that HT clusters occurred in Bangkok and in metropolitan areas. In addition, significantly low-rate clusters were seen in some provinces in the Northeast and also in southern provinces. These findings should facilitate control and prevention of HT and, therefore, serve as support for researchers, decision-makers, academics and public health officials to propose more sound and effective strategies for the control of HT in Thailand and elsewhere.

Background: Hypertension (HT) has been one of the leading global risk factors for health and the leading cause of death in Thailand for decades. The influence of socioeconomic factors on HT has been varied and inconclusive. The aim of this study was to determine the association between socioeconomic determinants and HT in Thailand. Methods: This study used data from the National Socioeconomic Survey, a cross-sectional study that was conducted by the National Statistical Office of Thailand in the years 2005, 2006 and 2007. In our analysis, data were collected on gender, age, marital status, smoking status, education, status of work, occupation, current liability (short-term debt), household monthly income, residential area, region and previously diagnosed HT by a physician. Results: The odds of having HT were significantly higher among those who had household monthly income, education, residential area and region. The participants who had monthly income of <10001 baht (2005: AOR = 3.19, 95%CI:1.47 - 6.92; 2006: AOR 2.53, 95%CI:1.37 - 4.69; 2007: AOR = 3.35, 95%CI: 1.97 - 7.00), were living in Bangkok compared with the Northeast region (2005: AOR = 1.72, 95%CI:1.37 - 2.17; 2006: AOR =  2.44, 95%CI: 1.89 - 3.13; 2007: AOR =  2.63, 95%CI 2.08 - 3.45), lived as an urban resident (2005: AOR= 1.32, 95%CI: 1.12 - 1.56; 2006: AOR= 1.21, 95%CI: 1.02 - 1.43; 2007: AOR= 1.47, 95%CI: 1.18 - 1.62), and finished primary education (2005: AOR =1.21, 95%CI: 1.03 - 1.43; 2006: AOR= 1.23, 95%CI: 1.04 - 1.46; 2007: AOR= 1.18, 95%CI: 1.01 - 1.38) when controlling for other covariates. Conclusion: This study indicated that socioeconomic disparity has an influence on HT. Those with low educational attainment, low income, lived in urban regions, and were metropolitan residents (Bangkok) were vulnerable to HT.

Background: Type 2 Diabetes Mellitus (T2DM) remains a significant cause of death globally. In addition, T2DM is among the top five chronic diseases which leads to mortality in the Thai population. Patients with T2DM need a wide self-management protocol.  However, patients with low health literacy experience difficulty in recognizing health-related information and have difficulties in expressing their status to health care providers, resulting in poor self-management which results in worsening of the health condition. This study aimed to identify the health literacy among patients with type 2 diabetes to determine its association between factors with blood sugar level control in the patients who are treated in primary care units. Methods: A total of 605 subjects were randomly selected from four districts of Nakhon Ratchasima Province, Northeastern Thailand. Data were collected using a structured questionnaire and a review of their charts. A descriptive statistical analysis was used to describe characteristics of the subjects. In addition, multiple logistic regression was used for the association to estimate effect sizes in terms of an odds ratio with the 95% confidence interval. Results: Of the total 605 respondents, 90.90% of the subjects had a sufficient level of health literacy about diabetes. The present study found the subjects who had sufficient health literacy were significantly associated with blood sugar level control (Adjusted Odds Ratio, (AOR)=2.27; 95% CI: 1.10-4.74; p =0.026). A strongly significant association with blood sugar level control was found with diet behaviors (AOR = 9.71; 95% CI: 5.98-15.77; p<0.001) and exercise behaviors (AOR = 14.50; 95% CI: 8.66-24.27; p<0.001). Conclusions: Health literacy on the changing health related behaviors among the T2DM patients is significantly associated with controlling blood sugar level. Hence, health practitioners should enhance the health literacy on self-care among T2DM patients which will help to control T2DM in an effective manner.