Thailand has a higher prevalence of smoking behaviors which puts people at risk of morbidity and mortality. This study aimed to determine the spatial association of smoking behaviors and their associated factors among the population of Thailand. This study was conducted using a data set from the National Statistical Office of Thailand, 2017. A Moran’s I, local indicators of spatial association (LISA), and spatial regression were used to identify the spatial autocorrelation between tobacco outlet density, the prevalence of secondhand smoke, and smoking behaviors among Thai people. According to the results, among 88,689 participants, the prevalence of smoking behaviors was 18.00 per 1,000 population. There was global spatial autocorrelation between tobacco outlet density, the prevalence of secondhand smoke, and smoking behaviors with the Moran’s I values of 0.120 and 0.375, respectively. The LISA analysis identified significant positive spatial local autocorrelation of smoking behaviors in the form of nine high-high clusters of tobacco outlets density and ten high-high prevalence clusters of secondhand smoke. The prevalence of secondhand smoke predicted smoking behaviors by 62.8 percent. There were spatial associations between tobacco outlet density and secondhand smoke problems that led the youngsters to start smoking. It is a general recommendation to strictly enforce policies and laws to control smoking, and cover all regions in Thailand.

This study identifies the prevalence of binge drinking behaviour and the statistical relationship between local patterns and binge drinking behaviour among the working-age population in Thailand. This study was conducted using The Smoking and Drinking Behaviour Survey 2017 data set from the National Statistical Office of Thailand. Local Indicators of Spatial Association (LISA) were used to identify the spatial autocorrelation between surrounding areas, with binge drinking behaviour among the working-age population in Thailand. Findings showed that among the 61,708 participants, 11.47% engaged in binge drinking behaviour. There was aspatial global autocorrelation between the surrounding areas and binge drinking behaviour among the working-age population, with a Moran’s I value of 0.579. The LISA analysis indicated nine hotspots or high–high clusters. In Thailand, there is a cultural context that encourages risky behaviour such as drinking alcohol beyond the standards set by law. Therefore, to manage this problem efficiently and effectively, the public and private sectors and related agencies should raise awareness about the health effects of binge drinking and promote health literacy to local residents while engaging all sectors in managing alcohol behaviour in all areas. This type of approach is sustainable and can have long-term effects on society.

Thailand had a higher prevalence of binge drinking (BD) behaviors which put them at risks of morbidity and mortality. This study aimed to determine the spatial association of BD and its associated factors among the population of Thailand. This study was conducted using a data set of the National Statistical Office of Thailand and another data set of the Center for Alcohol Studies, Thailand, in 2017. A Moran's I, Local Indicators of Spatial Association (LISA), and Spatial regression were used to identify the spatial autocorrelation between alcohol outlet density, started drinking before 20 years of age, and BD among Thai people. According to the results, among 61,708 participants, the prevalence of BD was 11.47 per 1,000 population. There was global spatial autocorrelation between alcohol outlet density, start drinking before 20 years, and BD with the Moran's I values of 0.10 and 0.54, respectively. The LISA analysis identified significant positive spatial local autocorrelation of BD in the form of two high-high clusters for density of alcohol outlets and seven high-high clusters of started drinking before the age of 20. Started drinking before 20 years of age could predict binge drinking behaviors by 62.8 percent. There were spatial associations between alcohol outlet density and problems with alcoholic beverage control law enforcement that let the youngsters start drinking before 20. It is a general recommendation to strictly enforce the law in prohibited the underage from consuming alcohol, especially in the high density of alcohol outlets.

The senior population quickly grows in many countries, affecting individuals and families. Also, it has a large impact on both the economy and society. The changes have impacted the happiness of the elderly, who should be cared for through health promotion in order for them to be able to care for themselves. This study was aimed to identify the happiness of the elderly, socio-economic status, and health-related factors with the happiness of the elderly in Thailand. This cross-sectional study was performed using the data from the National Statistical Office of Thailand: Report of the survey of elderly in Thailand 2017. Data has been collected from 33,343 individuals by using a structured questionnaire. The multi-level analysis was performed to identify the socio-economic status, health-related factors with the happiness of the elderly in Thailand by controlling the effect of other covariates. The result was presented with an adjusted OR and 96% confidence interval. Among 33,343 individuals of the elderly, 65.93% (95% CI: 0.654-0.664) stated that they were happy. Factor associated with happiness of elderly in Thailand were; income adequate and left for saving (adj.OR=6.50; 95% CI: 5.60 – 7.55, p-value<0.001), the Social-Bound Elderly (adj.OR = 2.08; 95% CI = 1.58-2.73, p-value < 0.001), exercise regularly (adj.OR = 2.08; 95%CI = 1.06-2.20, p-value < 0.001), Self Care of Elderly (adj.OR = 2.32; 95% CI = 2.09-2.59, p-value < 0.001), received health information from an internet (adj.OR = 2.45, 95% CI = 2.07-2.89, p-value < 0.001). A happy senior person can take care of their health, whether by regular exercise, health care, or having a better socio-economic status; therefore, the government should focus on laying down a foundational policy to make the elderly happy. This affects physical and mental health, an important factor in preventing disease and living as an important force in sustainable development.

Migrant workers usually encounter socio-economic and living hardships resulting in complex physical, social, and mental health problems. This research aimed to determine the influence of quality of life (QOL) and social capital on depression among Laotian migrants working in the Northeast of Thailand, which has not been studied on such issues before. This cross-sectional study analyzed the data from the previous study related to the quality of Life of Laotian Migrant Workers in the Northeast of Thailand, which was conducted among 1,477 respondents using a structured questionnaire interview. One thousand two hundred five participants passed the inclusion criteria for the analysis. The generalized linear mixed model was performed to identify the influence of QOL and social capital on depression when controlling the effects of co-variates, presenting adjusted OR and 95% confidence interval. Among 1,205 respondents, 9.29 % reported having depressive symptoms. The depressive symptom was significantly associated with having low to moderate levels of QOL, low to moderate levels of social capital. Other significant co-variates were high stress levels, chronic disease, work permit absence, menstruation lack, physical exercise absence, and living in a room for more than four people. Nearly one-tenth of Laotian migrant workers had depressive symptoms. Quality of life, social capital, stress, socio-economic, working and living conditions, health status, and health behaviors were associated with depression among those migrant workers working in the Northeast of Thailand.