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.

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.