Swertia cordata and Swertia chirayita are temperate Himalayan medicinal plants used as potent herbal drugs in Indian traditional systems of medicine (Ayurvedic, Unani and Siddha). Assessment of Antioxidant, antibacterial, and antidiabetic potential of Swertia cordata and Swertia chirayita. Phytochemicals of methanolic and aqueous extracts of the two Swertia species were analyzed. The antioxidant potential of all the extracts was assessed by measuring total phenolic content, total flavonoid content and free radical scavenging potential was assessed by 1,1-diphenyl-2-picrilhydrazyl (DPPH) assay, antibacterial activity was assessed against various pathogenic and nonpathogenic bacteria in vitro by Kirby-Bauer agar well diffusion method and antidiabetic activity was assessed by α-amylase inhibition. Methanolic leaf extracts of both the species of Swertia contain significant antibacterial as well as anti-diabetic potential, whereas methanolic root extracts of both species were found to have potential antioxidant activity. However, Swertia chirayita showed better activities than Swertia cordata although both species have good reputation in traditional Indian medicine. Both the species are having high medicinal potential in terms of their antioxidant, antibacterial and antidiabetic activities. Studies are required to further elucidate antioxidant, anti-diabetic and antibacterial potentials using various in-vitro, in-vivo biochemical and molecular biology techniques.

The 3-5year epidemic cycle of dengue fever in Thailand makes it a major re-emerging public health problem resulting in being a burden in endemic areas. Although the Thai Ministry of Public Health adopted the WHO dengue control strategy, all dengue virus serotypes continue to circulate. Health officers and village health volunteers implement some intervention options but there is a need to ascertain most appropriate (or a combination of) interventions regarding the environment and contextual factors that may undermine the effectiveness of such interventions. This study aims to understand the dengue-climate relationship patterns at the district level in the southern region of Thailand from 2002 to 2018 by examining the statistical association between dengue incidence rate and eight environmental patterns, testing the hypothesis of equal incidence of these. Data on environmental variables and dengue reported cases in Nakhon Si Thammarat province situated in the south of Thailand from 2002 to 2018 were analysed to (1) detect the environmental factors that affect the risk of dengue infectious disease; to (2) determine if disease risk is increasing or decreasing over time; and to (3) identify the high-risk district areas for dengue cases that need to be targeted for interventions. To identify the predictors that have a high and significant impact on reported dengue infection, three steps of analysis were used. First, we used Partial Least Squares (PLS) Regression and Poisson Regression, a variant of the Generalized Linear Model (GLM). Negative co-efficient in correspondence with the PLS components suggests that sea-level pressure, wind speed, and pan evaporation are associated with dengue occurrence rate, while other variables were positively associated. Using the Akaike information criterion in the stepwise GLM, the filtered predictors were temperature, precipitation, cloudiness, and sea level pressure with the standardized coefficients showing that the most influential variable is cloud cover (three times more than temperature and precipitation). Also, dengue occurrence showed a constant negative response to the average increase in sea-level pressure values. In southern Thailand, the predictors that have been locally determined to drive dengue occurrence are temperature, rainfall, cloud cover, and sea-level pressure. These explanatory variables should have important future implications for epidemiological studies of mosquito-borne diseases, particularly at the district level. Predictive indicators guide effective and dynamic risk assessments, targeting pre-emptive interventions.

The tropical climate of Thailand encourages very high mosquito densities in certain areas and is ideal for dengue transmission, especially in the southern region where the province Nakhon Si Thammarat is located. It has the longest dengue fever transmission duration that is affected by some important climate predictors, such as rainfall, number of rainy days, temperature and humidity. We aimed to explore the relationship between weather variables and dengue and to analyse transmission hotspots and coldspots at the district-level. Poisson probability distribution of the generalized linear model (GLM) was used to examine the association between the monthly weather variable data and the reported number of dengue cases from January 2002 to December 2018 and geographic information system (GIS) for dengue hotspot analysis. Results showed a significant association between the environmental variables and dengue incidence when comparing the seasons. Temperature, sea-level pressure and wind speed had the highest coefficients, i.e. β=0.17, β= –0.12 and β= –0.11 (P<0.001), respectively. The risk of dengue incidence occurring during the rainy season was almost twice as high as that during monsoon. Statistically significant spatial clusters of dengue cases were observed all through the province in different years. Nabon was identified as a hotspot, while Pak Phanang was a coldspot for dengue fever incidence, explained by the fact that the former is a rubber-plantation hub, while the agricultural plains of the latter lend themselves to the practice of pisciculture combined with rice farming. This information is imminently important for planning apt sustainable control measures for dengue epidemics.

Background: Oral healthcare behavior leads to oral health status. Factors associated with oral healthcare behavior might affect oral hygiene in pregnant women, who are at high risk for gingivitis and dental caries. This study aimed to explore factors associated with oral healthcare behaviors during pregnancy among pregnant women in a northeastern province of Thailand. Method: A total of 405 pregnant women who attended antenatal care clinics at one of the government hospitals in the province were invited to participate in this cross-sectional study. Dentists in the hospitals measured pregnant women’s gingivitis and dental calculus status using mouth mirrors and explorers. A structured questionnaire was used to obtain variables of interest. Linear regression analysis, Beta and 95% confidence interval (CI) were applied. Results: The majority were 20–24 years old (33.6%). Most of the participants had received upper secondary education (37.6%). Majority had gingivitis (88.1%) and dental calculus (88.6%). The findings revealed that age (Beta = -0.129, 95%CI = -0.269, -0.016), educational level (Beta = 0.118, 95% CI = 0.110, 0.183), and oral health literacy (Beta = 0.283, 95% CI = 0.156, 0.319) were statistically significant factors associated with oral healthcare behaviors. Conclusion: Younger pregnant women had better oral healthcare behaviors than older pregnant women and pregnant women had better oral healthcare behaviors due to higher educational levels and oral health literacy. Oral health promotion should be improved through oral health literacy, and interventions should be added to improve oral care skills particularly in older pregnant women as they are at a greater risk for poor oral healthcare behaviors.

Background: This community‐based randomised controlled study was aimed at evaluating a health literacy (HL) and diabetes self‐management education (DSME) improvement program (HL‐DSME program) among people with Type 2 diabetes mellitus. Methods : The program conducted in Sakonnakhon Province in northeastern Thailand comprised 1 day of theory and a 4‐week period of follow‐up. There were 72 participants (36 participants for each intervention and control group) in the program. Independent t ‐tests, one‐way analysis of variance and, paired‐sample T ‐tests were used to predict HL and self‐management scores. Results : The participants in the intervention group increased their total HL score and four dimensions of the HL score significantly in comparison to those in the control group. Total self‐management score and the score related to the dimension of exercise behaviour among the participants in the intervention group improved significantly in comparison to those in the control group. Conclusion : The HL‐DSME program could increase the total score of HL, scores of four dimensions of HL, the total score of self‐management, and the score related to exercise behaviour. Healthcare providers who try to enhance diabetes patients’ self‐management practices should consider diabetes patients’ HL and provide health education regularly. Diabetes management approach should be scalable, efficacious, sustainable, and affordable for patients. Trial Registration: Thai Registry of Clinical Trials: TCTR20241120002