Evaluation of binge drinking behavior among working-age populations in Thailand using GIS: A national survey in 2017

Prasit, Nakarin; Laohasiriwong, Wongsa; Phimha, Surachai; Bouphan, Prachak; Senahad, Nopparat; Yotha, Nuttapol; Nonthamat, Ampawan; Kongsrima, Supat; Thummawongsa, Pittaya

doi:10.55131/jphd/2023/210212

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…The increases in alcohol excise tax are inconsistent with the economic shifts that could be attributed to inflationary changes in the era of globalization, which also found that there was an intervention in the alcohol control policy according to the economic benefits of the country in each period (Chaiyasong et al, 2011;Prasit et al, 2023), As with most policies, there are intended outputs and unintended consequences. According to the study carried out in Australia, it is predicted that alcohol consumers with low income might be able to control the frequency and level of regular alcohol consumption.…”

Section: Discussionmentioning

confidence: 99%

Investigating the Challenges in Alcoholic Beverage Control and Law Enforcement: Analyzing Binge Drinking Prevalence Among the Working-Age Population in Thailand Based on 2017 National Survey

Prasit,

Laohasiriwong,

Nonthamat

et al. 2024

JPSS

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This study aimed to determine the prevalence of binge drinking and to investigate the association between socioeconomic factors, risk behaviors, and problems in enforcing the Alcoholic Beverage Control Law among the working-age population in Thailand. Utilizing data from the Smoking and Drinking Behaviors Survey 2017 conducted by the National Statistical Office of Thailand, the study analyzed responses from 61,708 participants. A multilevel logistic analysis was employed to identify the association between issues in enforcing alcoholic beverage control laws and binge drinking, controlling for the effects of covariates and presenting adjusted odds ratios (OR) with 95% confidence intervals. Among the 61,708 respondents, the prevalence of binge drinking was found to be 11.47%. Factors related to the enforcement of alcoholic beverage control laws were significantly associated with binge drinking. Other notable covariates included being male, age, and tobacco consumption. Gaps in the enforcement of alcohol regulations have led to increased alcohol consumption among the working-age population. Consequently, the implementation of rigorous public interest legislation is necessary. This includes setting surveillance standards to strictly monitor alcohol sales, particularly to youth and adolescents, enhancing moral awareness, and increasing penalties for violations of alcohol control laws. Additionally, there is a need to promote the development of practical and comprehensive policies and penalties for breaching alcohol control laws in Thailand.

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Section: Discussionmentioning

confidence: 99%

Investigating the Challenges in Alcoholic Beverage Control and Law Enforcement: Analyzing Binge Drinking Prevalence Among the Working-Age Population in Thailand Based on 2017 National Survey

Prasit,

Laohasiriwong,

Nonthamat

et al. 2024

JPSS

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Influence of socioeconomics and social marketing on smoking in Thailand: A National Survey in 2017

Thammawongsa,

Laohasiriwong,

Yotha

et al. 2023

Tob. Prev. Cessation

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INTRODUCTION Smoking is one of the risk factors for noncommunicable diseases and is harmful to both active and passive smokers. This study aimed to identify the influence of socioeconomic and environmental issues on smoking in Thailand. METHODS The study is a secondary dataset analysis of cross-sectional data using data from the 2017 Smoking and Drinking Behaviors Survey of the National Statistical Office of Thailand. The survey collected the data among 88689 participants using a structured questionnaire. The multi-level analysis was used to identify the association between socioeconomics, environmental factors, social marketing, and smoking while controlling for the effects of covariates and presenting the adjusted odds ratio (AOR) and its 95% confidence interval (CI). RESULTS Among 88689 respondents, the prevalence of smoking was 18.2% (95% CI: 18.00-18.51). Factors that were associated with smoking were: exposure to secondhand smoke in residential settings (AOR=15.31; 95% CI: 14.47-16.20) and alcohol regular drinking (AOR=4.44; 95% CI: 4.14-4.76). In addition, social marketing factors include: disagreeing or being unsure of the opinions that cigarettes should be categorized as harmful goods (AOR=3.15; 95% CI: 2.94-3.37); not having been exposed to the disadvantages of smoking in social media (AOR=1.51; 95% CI: 1.43-1.61); not having been exposed to the disadvantages of smoking in newspapers, television, radio, advertisements, or other sources (AOR=1.46; 95% CI: 1.37-1.62); having never seen the warning cautions or having seen them but ignored the hazardous effect (AOR=4.81; 95% CI: 4.5-4.9); and having ever seen the warning cautions/ever seen but ignore the hazardous effect (AOR=4.81; 95% CI: 4.54-5.09), and ever seen advertisements or billboards which motivate smoking in various places (AOR=1.33; 95% CI: 1.24-1.42). CONCLUSIONS Smoking and secondhand smoke are crucial problems that affect health. In addition, related sectors should help to develop a policy recommendation to reduce the smoking rate through social marketing. Strict and comprehensive policies and laws on non-smoking in work places, public spaces, and homes, will help to reduce secondhand smoke exposure among non-smokers.

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Spatial Association between Socioeconomic Factors, Physical Geographic Factors, and Suicide in Thailand

Poonsiri,

Laohasiriwong,

Puttanapong

et al. 2023

TOPHJ

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Background: Suicide is a significant cause of death in many countries worldwide. In Thailand, it ranks second in unnatural deaths, following accidents, with an increasing trend. This study aims to 1) describe the spatial distribution of suicide rates and 2) identify the spatial relationships among socioeconomic status, physical geography and suicide rates during the years 2012–2021. Methods: This study sought to explain the spatial distribution of suicide rates across provinces in Thailand from 2012 to 2021. The spatial relationships were analyzed using LISA and spatial regression. Results: The result obtained from univariate LISA indicated a concentration of suicide rates in the northern region of Thailand for the period from 2012 to 2021. Spatial regression analysis using OLS, SLM and SEM demonstrated the relationships between suicide rates and various variables, such as divorce rates, poverty rates, elderly proportions and NDWI. These factors exhibited a positive correlation with suicide rates and were statistically significant. Conversely, the NTL density and average rainfall displayed a negative correlation with suicide rates. Conclusion: Our study observed that the distribution of divorce rates, poverty population proportion, elderly population proportion and the normalized difference water index were likely to be associated with enhancing the suicide rate. However, the intensity of average Night-Time-Light (NTL) was observed to reduce the suicidal rate. Therefore, these present findings can be utilised in the development of policy as well as strategies concerning surveillance, control and prevention of suicide in Thailand.

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Evaluation of binge drinking behavior among working-age populations in Thailand using GIS: A national survey in 2017

Cited by 3 publications

References 10 publications

Investigating the Challenges in Alcoholic Beverage Control and Law Enforcement: Analyzing Binge Drinking Prevalence Among the Working-Age Population in Thailand Based on 2017 National Survey

Investigating the Challenges in Alcoholic Beverage Control and Law Enforcement: Analyzing Binge Drinking Prevalence Among the Working-Age Population in Thailand Based on 2017 National Survey

Influence of socioeconomics and social marketing on smoking in Thailand: A National Survey in 2017

Spatial Association between Socioeconomic Factors, Physical Geographic Factors, and Suicide in Thailand

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