Geographic Information System Development for Comparing Tobacco Consumption and Control Situations between Areas with and without Tobacco Cultivation in Nakhon Si Thammarat
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Abstract
This research aimed to study and compare tobacco consumption and control situations among general population between areas with and without tobacco cultivation in order to develop a geographic information system (GIS) data reporting. The sample was divided into 3 subgroups: (1) 335 inhabitants aged between 13 – 70 years living in Thasala and Bangkhan districts, Nakhon Si Thammarat province, selected by using multi-stage cluster sampling, (2) 245 tobacco outlets selected based on the nearness to the selected inhabitants within a distance of 1 kilometer, and (3) persons involved in the system usage including 6 informants for the needs assessment and 12 respondents for the satisfaction survey. The data-gathering instruments encompassed a questionnaire, surveys, interviews, as well as the instruments used for the system development including web-based technology and Google Maps API. The results were obtained using frequency, percentage, MANOVA, and content analysis. The study results demonstrated that tobacco consumption and control situations among general population between areas with and without tobacco cultivation had a significant difference at .001 level. There were significant differences between viewing actors smoking in the media, effects of cigarette packet health warnings on the smokers, and individuals’ attitudes towards the danger of cigarette smoke at levels of .001, .01, and .05 respectively. Individuals’ attitudes towards smoking and their awareness of laws prohibiting smoking in public places were found significantly different at .001 level. No difference was found in smoking behaviors. Areas with tobacco cultivation have caused higher smoking rates per day than non-tobacco growing areas. Also, non-tobacco growing areas promoting a smoking-free community program have contributed to individual smoking cessation. The statistical and spatial data can be viewed on Google Maps with location pin symbol in different colors for more convenient analysis and use. The collected data can also be viewed on a computer or smart phone with internet access.
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References
Action on Smoking and Health Foundation Thailand. (2018). Database system for action on smoking and health foundation Thailand. Retrieved May 10, 2018, from: https://www.ashthailand.or.th/th/ network.php [in Thai]
Barbara, J., & Martinez, S. (2009). Using Local Data and GIS to Analyze the Changing Faces of Tobacco. Producing Counties in Indiana. Retrieve February 22, 2018, from: https://apha.confex.com/apha/134am/techprogram/paper_138577.htm
Boonkool, P. (2009). Assessing the Need to Use Geographic Information Systems for Tobacco Control. Bangkok: Mahidol University, Tobacco Control Research and Knowledge Management Center, (TRC.). [in Thai]
Burden of Disease Thailand (BOD). (2016). Health Loss from Smoking. Retrieved February 22, 2018, from: https://bodthai.net/download/ความสูญเสียทางสุขภาพจา-2/ [in Thai]
Bureau of Non-communicable Diseases. (2018). Annual Report 2018. Bangkok: Aksorn Graphic Designer. [in Thai]
Center for Disease Control and Prevention (CDC). (2019). Data and Statistics. Retrieve March 28, 2019, from: https://www.cdc.gov/tobacco/ data_statistics/index.htm [in Thai]
Department of Disease Control (DDC). (2018). TAS App Surveillance Violates Tobacco Control – alcohol. Retrieved February 22, 2018, from: https://pr.moph.go.th/iprg/include/ admin_hotnew/show_hotnew.php?idHot_new=106607 [in Thai]
Fakunle, D. O., Milam, A. J., Furr-Holden, C. D., Butler, J., Thorpe, R. J., & LaVeist, T. A. (2016). The inequitable distribution of tobacco outlet density: the role of income in two Black Mid-Atlantic geopolitical areas. Publish Health, 136, 35-40.
Galiatsatos, P., Kineza, C., Hwang, S., Pietri, J., Brigham, E., Putcha, N., ... Hansel, N.N. (2018). Neighbourhood characteristics and health outcomes: evaluating the association between socioeconomic status, tobacco store density and health outcomes in Baltimore City. Tobacco Control, 27(E1), e19-e24.
Hall, J., Cho, H. D., Maldonado-Molina, M., George, T. J., Shenkman, E. A., & Salloum, R. G. (2019). Rural-urban disparities in tobacco retail access in the southeastern United States: CVS vs. the dollar stores. Preventive Medicine Reports. Preventive Medicine Reports, 15, 100935.
Henriksen, L., Andersen-Rodgers, E., Zhang, X.,Roeseler, A., Sun, D.L., Johnson, T.O., & Schleicher, N.C. (2017). Neighborhood variation in the price of cheap tobacco products in California: Results from healthy stores for a healthy community. Nicotine & Tobacco Research, 19(11), 1330–1337.
Jinpon, P., & Jueboon, M. (2019). The information system for reporting density of alcohol stores surrounding educational institutions in Nakhon Si Thammarat, Thailand. Journal of Southern Technology, 12(1), 103-114. [in Thai]
Lopez, A. D., Mathers, C. D., Ezzati, M., Jamison, D. T., & Murray, C. J. (2006). Global Burden of Disease and Risk Factors. New York: Oxford University Press.
Manawatthanawong, A., Chaiyasong, S., Limwattananon, S., Limwattananon, C., Tisayaticom, K., Patcharanarumol, W., & Tangcharoensathien, V. (2017). How many NCD patients have risky health behaviors?: report from health and welfare survey. Journal of Health Systems Research, 11(3), 345-354. [in Thai]
Marah, M., & Novotny, T.E. (2011). Geographic patterns of cigarette butt waste in the urban environment. Tob Control, 20 (Suppl 1), i42ei44, doi:10.1136/tc.2010.042424
Matichon Online. (2019, 1 March). Various Health Risk Factors Make "Thais Seriously Ill" Premature. Retrieved March 25, 2019, from: https://www.matichon.co.th/lifestyle/news_1385595. [in Thai]
McCarthy, W.J., Mistry, R., Lu, Y., Patel, M., Zheng, H., & Dietsch, B., (2009). Density of tobacco retailers near schools: effects on tobacco use among students. American Journal of Public Health, 99(11), 2006–2013.
Phitthayarangsarit, S., Pan-krajang, P., & Seetaboot, D. (2017). Summary of 25 Years, Tobacco Control in Thailand 1992-2017. Bangkok: Mahidol University, Tobacco Control Research and Knowledge Management Center, (TRC.). [in Thai]
Publisher of the Cabinet and the Gazette. (2019). The Gazette. Retrieved February 22, 2019, from: https://www.mratchakitcha.soc.go.th/ index.html
Rutten, L.F., Augustson, E.M., Moser, R.P., Beckjord, E.B., & Hesse, B.W. (2008). Smoking knowledge and behavior in the United States: sociodemographic, smoking status, and geographic patterns. Nicotine & Tobacco Research, 10(10), 1559-70.
Sooksriwong, A. (2014). International law on smoking bans in the AEC and smoking prevalence rate. Romphruek Journal, Krirk University, 32(3), 110-131. [in Thai]
Thamarangs, T., Pitayarangsarit, S., Iam-anan, P., Phulkerd, S., Ponguttha, S., Waleewong, O., & Limwattanayingyong, A. (2011). Gaps and opportunities in addressing non communicable diseases in Thailand with who’s best buys and good buys interventions. Journal of Health Systems Research, 5(4), 401-409. [in Thai]
Tobacco Control Research and Knowledge Management Center, (TRC.), Mahidol University. (2018). Thailand Tobacco Consumption Statistics report 2018. Bangkok: Jareanmangkongkanpim. [in Thai]
Vardavas, C. I., Connolly, G. N., & Kafatos, A. G. (2009). Geographical Information Systems as a Tool for Monitoring Tobacco Industry Advertising. Retrieved February 22, 2018, from: https://tobaccocontrol.bmj. com/cgi/rapidpdf/tc.2008.026856v1
WHO FCTC. (2005). WHO Framework Convention on Tobacco Control. Retrieve March 1, 2018, from: https://apps.who.int/iris /bitstream/handle/10665/42811/9241591013.pdf; jsessionid=FA687E55473AD 04241C1F5FE19F571C2?sequence=1
Wilmore, S. (2003). GIS and Tobacco Control: An Innovative Way of Analyzing and Monitoring pc 308(a), Tobacco Sales to Minors. Retrieved February 22, 2018, from: https://apha.confex.com/apha/ 131am/techprogram/paper_64502.htm
World Health Organization, WHO. (2018). Noncommunicable Diseases Country Profiles 2018. Geneva: World Health Organization.
World Health Organization, WHO. (2019). Tobacco. Retrieve August 25, 2019, from: https://www.who.int/news-room/fact-sheets/detail/tobacco