MULTIPLE LOGISTIC REGRESSION ANALYSIS FOR ALCOHOL DRINKING WITH VARIOUS FACTORS: A CASE STUDY OF POPULATION IN PHITSANULOK PROVINCE

Authors

  • Saranya Thongsook Department of Mathematics and Statistics, Faculty of Science and Technology, Pibulsongkram Rajabhat University,Phitsanuloke

Keywords:

Alcohol behavior, Factors, Logistic regression analysis

Abstract

The National statistical office has conducted a survey on population and housing. According to the survey, preliminary results on smoking and binge drinking behaviors have been reported every three years. However, the results of the National bureau of statistics have just been presented the information in the form of descriptive statistics such as the percent of consumption and drinking frequency of alcoholic beverage divided by various factors. This research studied the equations of the relationship between alcohol consumption which was divided into 2 groups, namely, those who do not drink and those who drink alcohol or alcoholic beverages and various factors using logistic regression analysis. The prediction equation of alcohol drinking conditions (frequency of drinking alcohol) by considering drinking or not drinking is showed below.

5P=e-0.003O1+2.526O2+3.293O3(1)+3.181O3(2)1+e-0.003O1+2.526O2+3.293O3(1)+3.181O3(2)'>

The benefit from the relationship and the forecasting equation can be used to bring more specific and clear preventive of measures such as increasing the tax of alcohol or alcoholic beverages to reduce the number of people drinking. The another clear measure is a determination of the packaging size of the alcohol or beverages to be exceeds 330 cc or more in order to reduce the chance of drinking. In addition, the use of existing data to develop into this forecasting model is also to develop the existing database to be more utilized by using advanced statistics analysis as mentioned above.

   

References

Anthony M.T, Samuel T.A. Consumption and Drinking Frequency of Alcoholic Beverage Among Women in Ghana: A Cross-Sectional Study. BMC Public Health. 2015; 15: 1-10.
Buasorn R, Ratchadaphannathikun C. Alcohol consumption behavior of undergraduate university students in Bangkok. Ramathibodi Nursing Substance. 2012; 18(2): 259-271.
Carolyn B, Sidney K. SEX AND DRINKING PATTERNS: AN OLD RELATIONSHIP REVISITED A NEW WAY. Social Problems. 1977; 24: 482-497.
Chitjathavech J. Regression analysis. National Institute of Development Administration. Bangkok: Veterans Organization Printing; 2015.
Hair, Joseph F. et al. Multivariate data analysis 6th ed. New Jersey: Pearson Prentice Hall; 2006.
Hair, Joseph F. et al. Multivariate data analysis 7th ed. New Jersey: Pearson Prentice Hall; 2010.
Kawawit P. Factors related with the amount of alcohol drinking for undergraduate students. Master of Economics, Department of managerial economics, Srinakharinwirot University, 2011.
Kayawon Y. Basic research 1st ed. Bangkok: Suviriyasan; 2000.
Liang Z, Jianguo S, Phillip W. Methods for the Analysis of Alcohol and Drug Uses for Young Adults. Journal of Data Science. 2009; 7: 469-485.
National Statistical Office of Thailand. Population and Housing Database, National Statistical Office 2014. Available at: http://service.nso.go.th/nso/web/survey/surpop2-4-7.html.
National Statistical Office of Thailand. Smoking and alcohol drinking behavior of the population, 2014 statistical reports, Social Statistics Division. Bangkok; 2014.
Onoi P. First Alcohol Drinking, Binge Drinking and Alcohol – Related Consequences Among Youth in Muang District Uttaradit Province. The office of Health Promotion Foundation (SSI), Department of Mental Health, Health Systems Research Institute (HSRI) and the Center for Alcohol Problems (SWS). Bangkok: 2010.
Ralph W.H, Heeren T, Winter M.R. Age at Drinking Onset and Alcohol Dependence. Archpediatr Adolesc Med. 2006; 160.
Roberta P, Luca G.S, Denise L.V et al. Logistic Regression to Assess Risk Factors in Offspring from Brazilian Families with Alcohol and Drug Problems. International Archives of Addiction Research and Medicine. 2015; 1-7.
Rosa M.C, Anthony J.C. Educational Level and Risk for Alcohol Abuse and Dependence: Differences by Race-Ethnicity. APT-Online, Allen press. 2000; 10(1): 39-52.
Thongbang P. Factor affecting alcohol drinking behaviors among the vocational school students in amphoe Banpong, changwat Ratchaburi. Master of arts, Department of phychology and guidance, Silpakorn University, 2007.
Uchayarat P, Khaikaew S, Pansak W, et al. Health promoting behaviors of Thai elderly in urban slums: a case study of Ban Bu community Bangkok Noi District, Bangkok. Journal of Nursing Science. 2011; 29(1): 83-93.
Uthang S. Alcohol beverage drinking behavior of people in Tambol Kammuedkaew, Huaimek District, Kalasin Province. Research and Development Health System Journal. 2009; 2: 41-50.
Wanichbancha K, Wanichbancha T. Using SPSS for Windows to analyze data. Chulalongkorn Univesity. Bangkok: Samlada Printing; 2016.
Wanichbancha K. Advanced statistical analysis with SPSS for Windows. Chulalongkorn Univesity. Bangkok: Samlada Printing; 2007.

Downloads

Published

2020-05-08

How to Cite

Thongsook, S. (2020). MULTIPLE LOGISTIC REGRESSION ANALYSIS FOR ALCOHOL DRINKING WITH VARIOUS FACTORS: A CASE STUDY OF POPULATION IN PHITSANULOK PROVINCE. Life Sciences and Environment Journal, 21(1), 27–42. Retrieved from https://ph01.tci-thaijo.org/index.php/psru/article/view/206136

Issue

Vol. 21 No. 1 (2020): January - June

Section

Research Articles

License

Each article is copyrighted © by its author(s) and is published under license from the author(s).