Estimated Impacts of Alcohol Control Policies on NCD Premature Deaths in Thailand
Abstract
:1. Introduction
Summary of Regulations of the Five Recommended Alcohol Policies in Thailand
2. Materials and Methods
2.1. Study Design
2.2. Estimation of Baseline Alcohol Consumption
2.3. Scenarios
2.3.1. Scenarios for Alcohol Consumption Reduction Target
2.3.2. Effects of Policy Interventions
Taxation
Advertising Ban
Restricting Physical Availability of Alcohol
Early Psychological Intervention
Combined Interventions
2.4. Modeling Alcohol Consumption Reduction and NCD Mortality
2.4.1. Policy-to-Consumption Part
2.4.2. Consumption-to-Harm Part
2.4.3. Alcohol-Attributable Fractions
2.4.4. Relative Risks for Targeted Diseases
2.4.5. Premature Mortality
2.4.6. Lag and Latency Time
2.5. Analysis
3. Results
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Bennett, J.E.; Stevens, G.A.; Mathers, C.D.; Bonita, R.; Rehm, J.; Kruk, M.E.; Riley, L.M.; Dain, K.; Kengne, A.P.; Chalkidou, K.; et al. NCD Countdown 2030: Worldwide trends in non-communicable disease mortality and progress towards Sustainable Development Goal target 3.4. Lancet 2018, 392, 1072–1088. [Google Scholar] [CrossRef] [Green Version]
- United Nations. Political Declaration of the High Level Meeting of the General Assembly on the Prevention and Control of Non-Communicable Diseases, A/66/L.1. 16 September 2011. Available online: https://documents-dds-ny.un.org/doc/UNDOC/LTD/N11/497/77/PDF/N1149777.pdf?OpenElement (accessed on 17 June 2022).
- World Health Organization. NCD Global Monitoring Framework. Available online: https://www.who.int/publications/i/item/ncd-surveillance-global-monitoring-framework (accessed on 17 June 2022).
- Kontis, V.; Mathers, C.D.; Rehm, J.; Stevens, G.A.; Shield, K.D.; Bonita, R.; Riley, L.M.; Poznyak, V.; Beaglehole, R.; Ezzati, M. Contribution of six risk factors to achieving the 25 × 25 non-communicable disease mortality reduction target: A modeling study. Lancet 2014, 384, 427–437. [Google Scholar] [CrossRef]
- Bennett, J.E.; Kontis, V.; Mathers, C.D.; Guillot, M.; Rehm, J.; Chalkidou, K.; Kengne, A.P.; Carrillo-Larco, R.M.; Bawah, A.A.; Dain, K.; et al. NCD Countdown 2030: Pathways to achieving sustainable development goal target 3.4. Lancet 2020, 396, 918–934. [Google Scholar] [CrossRef]
- World Health Organization. Global Status Report on Alcohol and Health 2018. Available online: https://www.who.int/publications/i/item/9789241565639 (accessed on 17 June 2022).
- Anderson, P.; Chisholm, D.; Fuhr, D.C. Effectiveness and cost-effectiveness of policies and programmes to reduce the harm caused by alcohol. Lancet 2009, 373, 2234–2246. [Google Scholar] [CrossRef]
- Chisholm, D.; Moro, D.; Bertram, M.; Pretorius, C.; Gmel, G.; Shield, K.; Rehm, J. Are the “best buys” for alcohol control still valid? An update on the comparative cost-effectiveness of alcohol control strategies at the global level. J. Stud. Alcohol Drugs 2018, 79, 514–522. [Google Scholar] [CrossRef]
- World Health Organization. Global Strategy to Reduce the Harmful Use of Alcohol. 2010. Available online: https://apps.who.int/iris/handle/10665/44395 (accessed on 17 June 2022).
- World Health Organization. Global Action Plan for the Prevention and Control of Noncommunicable Diseases 2013–2020. 2013. Available online: https://www.who.int/publications/i/item/9789241506236 (accessed on 17 June 2022).
- National Statistical Office. The 2021 Health Behaviour of Population Survey. Nonthaburi: National Statistical Office. 2021. Available online: http://www.nso.go.th/sites/2014/DocLib13/%E0%B8%94%E0%B9%89%E0%B8%B2%E0%B8%99%E0%B8%AA%E0%B8%B1%E0%B8%87%E0%B8%84%E0%B8%A1/%E0%B8%AA%E0%B8%B2%E0%B8%82%E0%B8%B2%E0%B8%AA%E0%B8%B8%E0%B8%82%E0%B8%A0%E0%B8%B2%E0%B8%9E/%E0%B8%AA%E0%B8%B3%E0%B8%A3%E0%B8%A7%E0%B8%88%E0%B8%9E%E0%B8%A4%E0%B8%95%E0%B8%B4%E0%B8%81%E0%B8%A3%E0%B8%A3%E0%B8%A1%E0%B8%94%E0%B9%89%E0%B8%B2%E0%B8%99%E0%B8%AA%E0%B8%B8%E0%B8%82%E0%B8%A0%E0%B8%B2%E0%B8%9E%E0%B8%82%E0%B8%AD%E0%B8%87%E0%B8%9B%E0%B8%A3%E0%B8%B0%E0%B8%8A%E0%B8%B2%E0%B8%81%E0%B8%A3/2564/report_2501_64.pdf (accessed on 17 June 2022).
- Assanangkornchai, S.; Waleewong, O. Joint Assessment Mission to Review Alcohol Control Policy and Strategy in Thailand. Available online: http://cas.or.th/cas/?p=7617 (accessed on 17 June 2022).
- World Health Organization. International Guide for Monitoring Alcohol Consumption and Related Harm. Available online: http://apps.who.int/iris/bitstream/10665/66529/1/WHO_MSD_MSB_00.4.pdf (accessed on 17 June 2022).
- World Health Organization. Tackling NCDs: ‘Best Buys’ and Other Recommended Interventions for the Prevention and Control of Noncommunicable Diseases. License: CC BY-NC-SA 3.0 IGO. Available online: https://apps.who.int/iris/handle/10665/259232 (accessed on 17 June 2022).
- Wagenaar, A.C.; Salois, M.J.; Komro, K.A. Effects of beverage alcohol price and tax levels on drinking: A meta-analysis of 1003 estimates from 112 studies. Addiction 2009, 104, 179–190. [Google Scholar] [CrossRef]
- World Health Organization. Addressing the Harmful Use of Alcohol: A Guide to Developing Effective Alcohol Legislation; WHO Regional Office for the Western Pacific: Manila, Philippines, 2011. [Google Scholar]
- Chaiyasong, S.; Jankhotkeaw, J.; Markchang, K.; Thamarangsi, T. The Differential Response to the Price of Alcohol among Thai Populations: Results from the International Alcohol Control Study. In Proceedings of the 44th Annual Alcohol Epidemiology Symposium of the Kettil Bruun Society (KBS); Chiang Mai, Thailand, 2018. Available online: https://www.kettilbruun.org/web_archive/chiangmai_2018/index.html (accessed on 17 June 2022).
- Cook, W.K.; Bond, J.; Greenfield, T.K. Are alcohol policies associated with alcohol consumption in low- and middle-income countries? Addiction 2014, 109, 1081–1090. [Google Scholar] [CrossRef] [Green Version]
- World Health Organization. Strengthen Restrictions on Alcohol Availability. Available online: https://www.who.int/substance_abuse/safer/s/en/ (accessed on 17 June 2022).
- Livingston, M. Alcohol outlet density: The challenge of linking research findings to policy. Australas. Epidemiol. Assoc. 2014, 21, 22–24. [Google Scholar]
- Sherk, A.; Stockwell, T.; Chikritzhs, T.; Andréasson, S.; Angus, C.; Gripenberg, J.; Holder, H.; Holmes, J.; Mäkelä, P.; Mills, M.; et al. Alcohol Consumption and the Physical Availability of Take-Away Alcohol: Systematic Reviews and Meta-Analyses of the Days and Hours of Sale and Outlet Density. J. Stud. Alcohol Drugs 2018, 79, 58–67. [Google Scholar] [CrossRef]
- Bien, T.H.; Miller, W.R.; Tonigan, J.S. Brief interventions for alcohol problems: A review. Addiction 1993, 88, 315–335. [Google Scholar] [CrossRef]
- Jonas, D.E.; Garbutt, J.C.; Brown, J.M.; Amick, H.R.; Brownley, K.A.; Council, C.L.; Viera, A.J.; Wilkins, T.M.; Schwartz, C.J.; Richmond, E.M.; et al. AHRQ Comparative Effectiveness Reviews. In Screening, Behavioral Counseling, and Referral in Primary Care To Reduce Alcohol Misuse; Agency for Healthcare Research and Quality: Rockville, MD, USA, 2012. [Google Scholar]
- Ezzati, M.; Lopez, A.D.; Rodgers, A.A.; Murray, C.J. Comparative Quantification of Health Risks: Global and Regional Burden of Disease Attributable to Selected Major Risk Factors; World Health Organization: Geneva, Switzerland, 2004. [Google Scholar]
- Barendregt, J.J.; Veerman, J.L. Categorical versus continuous risk factors and the calculation of potential impact fractions. J. Epidemiol. Community Health 2010, 64, 209–212. [Google Scholar] [CrossRef]
- Cobiac, L.J.; Scarborough, P. Translating the WHO 25 × 25 goals into a UK context: The PROMISE modeling study. BMJ Open 2017, 7, e012805. [Google Scholar] [CrossRef]
- Lönnroth, K.; Williams, B.G.; Stadlin, S.; Jaramillo, E.; Dye, C. Alcohol use as a risk factor for tuberculosis—A systematic review. BMC Public Health 2008, 8, 289. [Google Scholar] [CrossRef] [Green Version]
- Bagnardi, V.; Rota, M.; Botteri, E.; Tramacere, I.; Islami, F.; Fedirko, V.; Scotti, L.; Jenab, M.; Turati, F.; Pasquali, E.; et al. Alcohol consumption and site-specific cancer risk: A comprehensive dose-response meta-analysis. Br. J. Cancer 2015, 112, 580–593. [Google Scholar] [CrossRef]
- Corrao, G.; Bagnardi, V.; Zambon, A.; La Vecchia, C. A meta-analysis of alcohol consumption and the risk of 15 diseases. Prev. Med. 2004, 38, 613–619. [Google Scholar] [CrossRef]
- Patra, J.; Taylor, B.; Irving, H.; Roerecke, M.; Baliunas, D.; Mohapatra, S.; Rehm, J. Alcohol consumption and the risk of morbidity and mortality for different stroke types--a systematic review and meta-analysis. BMC Public Health 2010, 10, 258. [Google Scholar] [CrossRef] [Green Version]
- Roerecke, M.; Rehm, J. Alcohol consumption, drinking patterns, and ischemic heart disease: A narrative review of meta-analyses and a systematic review and meta-analysis of the impact of heavy drinking occasions on risk for moderate drinkers. BMC Med. 2014, 12, 182. [Google Scholar] [CrossRef] [Green Version]
- Samokhvalov, A.V.; Irving, H.M.; Rehm, J. Alcohol consumption as a risk factor for atrial fibrillation: A systematic review and meta-analysis. Eur. J. Cardiovasc. Prev. Rehabil. 2010, 17, 706–712. [Google Scholar] [CrossRef] [Green Version]
- Baliunas, D.O.; Taylor, B.J.; Irving, H.; Roerecke, M.; Patra, J.; Mohapatra, S.; Rehm, J. Alcohol as a risk factor for type 2 diabetes: A systematic review and meta-analysis. Diabetes Care 2009, 32, 2123–2132. [Google Scholar] [CrossRef] [Green Version]
- Howard, A.A.; Arnsten, J.H.; Gourevitch, M.N. Effect of alcohol consumption on diabetes mellitus: A systematic review. Ann. Intern. Med. 2004, 140, 211–219. [Google Scholar] [CrossRef]
- Di Castelnuovo, A.; Costanzo, S.; Bagnardi, V.; Donati, M.B.; Iacoviello, L.; de Gaetano, G. Alcohol dosing and total mortality among men and women: An updated meta-analysis of 34 prospective studies. Arch. Intern. Med. 2006, 166, 2437–2445. [Google Scholar] [CrossRef] [PubMed]
- Ronksley, P.E.; Brien, S.E.; Turner, B.J.; Mukamal, K.J.; Ghali, W.A. Association of alcohol consumption with selected cardiovascular disease outcomes: A systematic review and meta-analysis. BMJ 2011, 342, d671. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- GBD 2016 Alcohol Collaborators. Alcohol use and burden for 195 countries and territories, 1990–2016: A systematic analysis for the Global Burden of Disease Study 2016. Lancet 2018, 392, 1015–1035. [Google Scholar] [CrossRef] [Green Version]
- World Health Organization. About 9 Voluntary Global Targets. Available online: https://www.who.int/nmh/ncd-tools/definition-targets/en/ (accessed on 17 June 2022).
- Thai Ministry of Public Health. Population Data. Available online: http://bps.moph.go.th/new_bps/%E0%B8%82%E0%B9%89%E0%B8%AD%E0%B8%A1%E0%B8%B9%E0%B8%A5%E0%B8%9B%E0%B8%A3%E0%B8%B0%E0%B8%8A%E0%B8%B2%E0%B8%81%E0%B8%A3%E0%B8%81%E0%B8%A5%E0%B8%B2%E0%B8%87%E0%B8%9B%E0%B8%B5. (accessed on 17 June 2022).
- Holmes, J.; Meier, P.S.; Booth, A.; Guo, Y.; Brennan, A. The temporal relationship between per capita alcohol consumption and harm: A systematic review of time lag specifications in aggregate time series analyses. Drug Alcohol Depend. 2012, 123, 7–14. [Google Scholar] [CrossRef]
- Soerjomataram, I.; de Vries, E.; Engholm, G.; Paludan-Müller, G.; Brønnum-Hansen, H.; Storm, H.H.; Barendregt, J.J. Impact of a smoking and alcohol intervention programme on lung and breast cancer incidence in Denmark: An example of dynamic modeling with Prevent. Eur. J. Cancer 2010, 46, 2617–2624. [Google Scholar] [CrossRef]
- Coung, P.V.; Casswell, S.; Parker, K.; Callinan, S.; Chaiyasong, S.; Kazantseva, E.; Meier, P.; MacKintosh, A.M.; Piazza, M.; Gray-Phillip, G.; et al. Cross-country comparison of proportion of alcohol consumed in harmful drinking occasions using the International Alcohol Control Study. Drug Alcohol Rev. 2018, 37, S45–S52. [Google Scholar]
- Rehm, J.; Gmel, G.E., Sr.; Gmel, G.; Hasan, O.S.; Imtiaz, S.; Popova, S.; Probst, C.; Roerecke, M.; Room, R.; Samokhvalov, A.V.; et al. The relationship between different dimensions of alcohol use and the burden of disease—An update. Addiction 2017, 112, 968–1001. [Google Scholar] [CrossRef] [Green Version]
- Rehm, J.; Rovira, P.; Llamosas-Falcón, L.; Shield, K.D. Dose–response relationships between levels of alcohol use and risks of mortality or disease, for all people, by age, sex, and specific risk factors. Nutrients 2021, 13, 2652. [Google Scholar] [CrossRef]
- Cobiac, L.; Vos, T.; Doran, C.; Wallace, A. Cost-effectiveness of interventions to prevent alcohol-related disease and injury in Australia. Addiction 2009, 104, 1646–1655. [Google Scholar] [CrossRef] [PubMed]
- Holm, A.L.; Veerman, L.; Cobiac, L.; Ekholm, O.; Diderichsen, F. Cost-effectiveness of preventive interventions to reduce alcohol consumption in Denmark. PLoS ONE 2014, 9, e88041. [Google Scholar] [CrossRef]
- Purshouse, R.C.; Meier, P.S.; Brennan, A.; Taylor, K.B.; Rafia, R. Estimated effect of alcohol pricing policies on health and health economic outcomes in England: An epidemiological model. Lancet 2010, 375, 1355–1364. [Google Scholar] [CrossRef] [Green Version]
- Allen, L.N.; Pullar, J.; Wickramasinghe, K.K.; Williams, J.; Roberts, N.; Mikkelsen, B.; Varghese, C.; Town-send, N. Evaluation of research on interventions aligned to WHO ‘Best Buys’ for NCDs in low-income and lower-middle-income countries: A systematic review from 1990 to 2015. BMJ Glob. Health 2018, 3, e000535. [Google Scholar] [CrossRef] [Green Version]
- Assanangkornchai, S.; Balthip, Q.; Edwards, J.G. Implementing the alcohol, smoking, substance involvement screening test and linked brief intervention service in primary care in Thailand. J. Public Health 2014, 36, 443–449. [Google Scholar] [CrossRef] [Green Version]
- Jernigan, D.; Noel, J.; Landon, J.; Thornton, N.; Lobstein, T. Alcohol marketing and youth alcohol consumption: A systematic review of longitudinal studies published since 2008. Addiction 2017, 112, 7–20. [Google Scholar] [CrossRef]
- Department of Disease Control, Ministry of Public Health. Joint Assessment Mission to Review Alcohol Control Policy and Strategy in Thailand: Final Report and Recommendations. Nonthaburi: Department of Disease Control, Ministry of Public Health. Available online: https://ddc.moph.go.th/uploads/publish/1025520200619100816.pdf (accessed on 17 June 2022).
- Stockwell, T.; Donath, S.; Cooper-Stanbury, M.; Chikritzhs, T.; Catalano, P.; Mateo, C. Under-reporting of alcohol consumption in household surveys: A comparison of quantity–frequency, graduated–frequency and recent recall. Addiction 2004, 99, 1024–1033. [Google Scholar] [CrossRef]
- Mikkelsen, L.; Phillips, D.E.; AbouZahr, C.; Setel, P.W.; De Savigny, D.; Lozano, R.; Lopez, A.D. A global assessment of civil registration and vital statistics systems: Monitoring data quality and progress. Lancet 2015, 386, 1395–1406. [Google Scholar] [CrossRef]
Scenarios | Avoidable NCD Deaths | |||
---|---|---|---|---|
Male | Female | |||
No. (95%CI a) | % b | No. (95%CI a) | % b | |
Total number of NCD deaths in achieving the global target (25% reduction) | 26,150 | 100% | 12,943 | 100% |
Ideal scenarios of 10% alcohol consumption reduction | ||||
Ideal Scenario 1 c | 2907 | 11.1% | 1023 | 7.9% |
Ideal Scenario 2 d | 5639 | 21.6% | 2358 | 18.2% |
Intervention scenarios | ||||
Taxation (50% price increase) | 10,906 (10,567–11,126) | 41.7% | 3423 (3176–3654) | 26.5% |
Advertisement ban | 776 (664–1149) | 3.0% | 303 (118–489) | 2.0% |
Restricting availabilities | 904 (2178–2408) | 3.5% | 1387 (1194–1584) | 2.3% |
Psychological interventions | 2290 (601–952) | 8.8% | 258 (117–406) | 10.7% |
Combined interventions e | 13,286 (12,664–13,884) | 50.8% | 4994 (4270–5670) | 38.6% |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Chaiyasong, S.; Gao, J.; Bundhamcharoen, K. Estimated Impacts of Alcohol Control Policies on NCD Premature Deaths in Thailand. Int. J. Environ. Res. Public Health 2022, 19, 9623. https://doi.org/10.3390/ijerph19159623
Chaiyasong S, Gao J, Bundhamcharoen K. Estimated Impacts of Alcohol Control Policies on NCD Premature Deaths in Thailand. International Journal of Environmental Research and Public Health. 2022; 19(15):9623. https://doi.org/10.3390/ijerph19159623
Chicago/Turabian StyleChaiyasong, Surasak, Jie Gao, and Kanitta Bundhamcharoen. 2022. "Estimated Impacts of Alcohol Control Policies on NCD Premature Deaths in Thailand" International Journal of Environmental Research and Public Health 19, no. 15: 9623. https://doi.org/10.3390/ijerph19159623
APA StyleChaiyasong, S., Gao, J., & Bundhamcharoen, K. (2022). Estimated Impacts of Alcohol Control Policies on NCD Premature Deaths in Thailand. International Journal of Environmental Research and Public Health, 19(15), 9623. https://doi.org/10.3390/ijerph19159623