Fatima Ibrahim Abdulsalam

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

Background: Stroke burden is expected to increase and surviving a bout of stroke may leave one with a chronic or disabling outcome decreasing significantly the quality of life of the sufferer. The study aimed to explore the association between quality of life (QoL) in stroke and non-stroke individuals in a predominantly agricultural community. Method: A community-based case-control study was conducted among 154 cases aged 18 and 75 diagnosed with incident stroke. Controls were 554 non-stroke individuals (n = 554) recruited from a community where cases resided. Cases and controls were matched for age, gender and residential area. Using a self-reported questionnaire of the World Health Organization Quality of Life (WHOQOL-BREF), socio-demographic characteristics and lifestyle habits were measured in association with QoL. Statistical analyses included multivariable logistic regression models, adjusted odds ratio (aOR) and 95% confidence interval (CI). Results: Significant predictors associated with low-medium QoL were having a larger waist circumference (aOR = 1.619, 95%CI [1.003–2.612]) and being a farmer (aOR = 2.976, 95%CI [1.143–7.750]) but having a current smoking habit and being male were at lesser odds with low-medium QoL (aOR = 0.381, 95%CI [0.191–0.757]) and (aOR = 0.564, 95%CI [0.323–0.985]) respectively. In all domains, women were at a higher risk of low-medium QoL while in physical health and environment domains, it was having a larger waist circumference. In both physical health and psychological domains, being married was protective to low-medium QoL so also being age 39 or younger and having a higher education in social relationship domain. Conclusion: Waist circumference, occupation, smoking habit and gender are associated with low-medium QoL. Addressing the influence of such factors could create an additional therapeutic line in the primary prevention of stroke in at-risk populations.

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.

One of the hypotheses in the field of forest ecology suggests that competition among individual plants is asymmetric or unidirectional. This notion holds particular significance for endangered species, necessitating a comprehensive assessment of the impact of their closest competitors to understand their spatial distribution and local-scale interactions. The mean response of Abies hickelii’s diameter at breast height and total height was determined for each unit that increased the distance from its neighbor and each unit that changed the size of its neighbor. The results obtained through the analysis of covariance suggest that, for each meter that the distance from the neighbor increases, there is a mean gain of 1.13 cm in the diameter of the individuals studied. The height results showed higher sensitivity to changes in the neighbor distance than the diameter. It was observed that the population is exposed to asymmetric competition, suggesting that larger individuals take available resources disproportionately, thereby inhibiting the growth of smaller individuals. The intraspecific competition surpassed the interspecific competition. A suggestion was made to use selective thinning during the early-growth stages of the species. The habitat of the species studied is under strong pressure from land use change due to clandestine logging, the opening of roads, and other anthropogenic effects. Thus, these results represent an important step in the implementation of action strategies to preserve the species in the wild.

Background: More than half of the global population is predicted to be living in areas susceptible to dengue transmission with the vast majority in Asia. Dengue fever is of public health concern, particularly in the southern region of Thailand due to favourable environmental factors for its spread. The risk of dengue infection at the population level varies in time and space among sub-populations thus, it is important to study the risk of infection considering spatio-temporal variation. Methods: This study presents a joint spatio-temporal epidemiological model in a Bayesian setting using Markov chain Monte Carlo (MCMC) simulation with the CARBayesST package of R software. For this purpose, monthly dengue records by district from 2002 to 2018 from the southern region of Thailand provided by the Ministry of Public Health of Thailand and eight environmental variables were used. Results: Results show that an increasing level of temperature, number of rainy days and sea level pressure are associated with a higher occurrence of dengue fever and consequently higher incidence risk, while an increasing level of wind speed seems to suggest a protective factor. Likewise, we found that the elevated risks of dengue in the immediate future are in the districts of Phipun, Phrom Kili, Lan Saka, Phra Phrom and Chaloem Phakiat. The resulting estimates provide insights into the effects of covariate risk factors, spatio-temporal trends and dengue-related health inequalities at the district level in southern Thailand. Conclusion: Possible implications are discussed considering some anthropogenic factors that could inhibit or enhance dengue occurrence. Risk maps indicated which districts are above and below baseline risk, allowing for the identification of local anomalies and high-risk boundaries. In the event of near future, the threat of elevated disease risk needs to be prevented and controlled considering the factors underlying the spread of mosquitoes in the Southeast Asian region.

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.

Knowledge, Attitudes and Practices (KAP) surveys precede an awareness or intervention program, it addresses a felt need in a population in which that need exists. In an endemic region of cutaneous leishmaniasis disease occurrence, public enlightenment on its preventive and control measures is highly important. Ilam province of Iran is a provincial border town transited annually by pilgrims was reported to have the most cases of cutaneous leishmaniasis ranking highest since 2010 yet no report on KAP survey has been previously conducted.

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.