Health belief model and social support affecting the perception of alcohol control laws among entrepreneurs in Thung Khao Luang distric, Roi Et province
Keywords:
Health belief model, Social support, Law perception, Alcohol control, EntrepreneursAbstract
This study employed a cross-sectional descriptive research design to examine the influence of health belief patterns and social support on entrepreneurs’ perceptions of the Alcohol Control Act in Thung Khao Luang District, Roi Et Province. The sample comprised 216 entrepreneurs who owned or operated alcohol retail businesses. Data were collected using a structured questionnaire that had been validated for content validity (IOC > 0.50) and demonstrated high reliability (Cronbach’s α = 0.969). Descriptive statistics, Pearson’s correlation coefficient, and stepwise multiple linear regression were used for data analysis. The results revealed that the overall levels of health belief, social support, and perception of alcohol control laws among entrepreneurs were high. Four factors were found to significantly predict law perception (p < 0.05): peer social support, community and social support, perceived barriers, and perceived susceptibility. These factors collectively explained 26.8% of the variance in law perception (R² = 0.268). The findings underscore the importance of enhancing social support networks and strengthening health awareness among entrepreneurs to improve compliance with alcohol control laws, thereby contributing to the sustainable reduction of alcohol consumption-related problems in the community.
References
Becker, M. H. (1974).The health belief model and sick role behavior. In M. H. Becker (Ed.), The health belief model and personal health behavior (pp. 82-92). Thorofare, NJ: Charles B. Slack.
Boulos, D. N., & Hassan, A. M. (2023). Using the Health Belief Model to assess COVID-19 perceptions and behaviours among a group of Egyptian adults: a cross-sectional study. BMC Public Health, 23(1), 1624.
Carpenter, C. J. (2010). A meta-analysis of the effectiveness of health belief model variables in predicting behavior. Health communication, 25(8), 661-669.
Chotirawi Injumpha and Boonyada Wongpimon. (2022). Predictive Factors of Intention to Avoid Alcohol Drinking among University Students in Roi Et Province. Thai Red Cross Nurses Journal, 15(1), 64–76.
Cobb, S. (1976). Social support as a moderator of life stress. Psychosomatic Medicine, 38(5), 300–314.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Lawrence Erlbaum Associates.
Cohen, S., & Wills, T. A. (1985). Stress, social support, and the buffering hypothesis. Psychological Bulletin, 98(2), 310-357.
Department of Disease Control, Ministry of Public Health. (2024). Bureau of Risk Communication and Health Behavior Development. Retrieved on March 5, 2025, from https://ddc.moph.go.th/brc/news.php?news=48528&deptcode=brc&news_views=220
House, J. S. (1981). Work stress and social support. New Jersey: Prentice-Hall.
Jehphong P., Kaewtong S., Kongmuang P. A study of awareness of alcohol beverage business control laws: Legal measures to regulate the use of alcohol beverage trademarks with other products. NRRU Community Research Journal. 2023;17(2):126–138.
Likert, R. (1967). The method of constructing an attitude scale. In Attitude theory and measurement (pp. 90-95). New York.
Maneenin, N., Jirapornkul, C., Maneenin, C., Mahato, R. K., & Laohasiriwong, W. (2025). Associations between alcohol control law enforcement and online purchasing on regular alcohol consumption among Thai men: a nationwide cross-sectional study. BMC Public Health, 25(1), 3193.
National Statistical Office. (2021). Health Behavior Survey 2021. Retrieved March 5, 2025, from https://www.nso.go.th/nsoweb/storage/survey_detail/2024/ 20230505110449_60642.pdf
Office of the Alcohol Control Committee. (2022). Final report on the project: Public opinion survey to support alcohol control, fiscal year 2022. Retrieved March 5, 2025, from https://ddc.moph.go.th/uploads/publish/1661420250106013530.pdf
Prasit, N., Laohasiriwong, W. ., Nonthamat, A. ., Sresutham, P., Nidthumsakul, N. ., Nilnate, N. ., & Senahad, N. . (2024). 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. Journal of Population and Social Studies, 32, 481–493.
Prasit, N., Laohasiriwong, W., Phimha, S., Bouphan, P., Senahad, N., Yotha, N., ... & Thummawongsa, P. (2023). Evaluation of binge drinking behavior among working-age populations in Thailand using GIS: A national survey in 2017. J Public Hlth Dev, 21(2), 140-151.
Srinuanpan,B. (2019). Communication Efficiency of Understanding and Implementation with the Alcohol Control Act 2008 in Nakhon Si Thammarat Province, Thailand. Asian Crime and Society Review, 6(1), 61-71.
World Health Organization. (2020). World-class assessment team commended Thailand’s alcohol control measures as a role model for Asia. Retrieved on November 5, 2025, from https://www.who.int/thailand/news/detail/24-01-2020-world-class-assessment-team-commended-thailand-s-alcohol-control-measures-as-a-role-model-for-asia
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