FACTORS PREDICTIVE OF ALCOHOL CONSUMPTION AMONG ELDERLY PEOPLE IN A RURAL COMMUNITY: A CASE STUDY IN PHAYAO PROVINCE THAILAND

Authors

  • Donnapa Hongthong Boromarajonani College of Nursing, Phayao, Thailand
  • Ratana Somrongthong College of Public Health Sciences, Chulalongkorn University, Thailand
  • Pimpimon Wongchaiya Boromarajonani College of Nursing, Phayao, Thailand
  • Ramesh Kumar Health Services Academy Islamabad Pakistan

Abstract

Background: Alcohol consumption is recognized as a public health issue. Study objectives were to identify factors predictive of alcohol consumption among elderly people in Phayao province Thailand, where there was high prevalence of alcohol consumption. Methods: This was a cross-sectional study. Four hundred elderly people participated in a survey. Data was collected by face-to-face interviews. Chi-square and multivariate logistic regression were used to determine the factors predictive of alcohol consumption among the study subjects. Results: One thirds of elderly (31.7%) had consumed alcohol in their lifetime, and (15.7%) of them were current drinkers. Following univariate analysis, seven factors included gender, working, sickness, smoking, quality of life (QOL), daily activities and economic recession ­were identified as being significantly associated with drinking (p<0.05). Multivariate analysis revealed four factors to be predictive of alcohol among elderly people: gender (OR=6.02, 95% CI=3.58–10.13), smoking (OR=4.34, 95% CI=2.57–7.34), economic recession (OR=2.79, 95%, CI=1.66-4.71), and QOL (OR=1.86, 95%, CI=1.09–3.16). Conclusion: Gender (male) and smoking were strongly predictive factors of elderly alcohol consumption. Hence, an effort to reduce alcohol consumption should be placed on male elderly and those who smoke.Keywords: Predictive factors, alcohol consumption, elderly people 

References

United Nations Global Issues: Ageing 2002 [Internet]. [cited 2015 Feb 13]. Available from: http://www.un.org/en/globalissues/ageing/.

National statistical office of Thailand: Population aging in Thailand. 2014. [Internet].[cited 2014 May 30]. Available from: http://www.oppo.opp.go.th/pages/statistic/stat_0101.html.

International Centre for Alcohol Policies (ICAP): Alcohol and the elderly. 2015. [Internet].[cited 2015 May 30]. Available from: http://icap.org/PolicyTools/ICAPBlueBook/BlueBookModules/

23AlcoholandtheElderly/tabid/181/Default.aspxWorld Health Organization. Global status report on alcohol and health. Geneva: WHO; 2011.

Assanangkornchai S, Sam-Angsri N, Rerngpongpan S, Lertnakorn A. Patterns of alcohol consumption in the Thai population: results of the National Household Survey of 2007. Alcohol Alcohol 2010;45(3):278–85.

Chaisong S, Pakdeesetakul K, Thummarungsri T. Provincial alcohol report 2011. Nontaburi: The Centre for Alcohol Studies; 2013.

Office of the National Economic and Social Development Board. The expectation of the number Thai population in 2010–2014. 2012.

Hongthong D, Somrongthong R, Ward P. Factors influencing the Quality of Life (Qol) among Thai older people in a rural area of Thailand. Iran J Public Health 2015;44(4):479–85.

Yamane Taro. Statistic: An Introductory Analysis. Harper International

Edition, Tokyo, 1973.

Department of Provincial Administration, Thailand. Provincial population statistic. 2010.

World Health Organization. WHO-QoL Old manual. Cph WHO Eur off 2004;551–8.

Alcohol drinks: Beer in Thailand. 2013. [Internet]. [Cited 2015 Feb 13]. Available from: http://www.euromonitor.com/beerin-thailand/report

Nolen-Hoeksema S. Gender differences in risk factors and consequences for alcohol use and problems. Clin Psychol Rev 2004;24(8):981–1010.

Bobo JK, Husten C. Sociocultural influences on smoking and drinking. Alcohol

Res Health 2000;24(4):225–32.

Grant BF, Hasin DS, Chou SP, Stinson FS, Dawson DA. Nicotine dependence and psychiatric disorders in the United States: Results from the National Epidemiologic Survey on Alcohol and Related Conditions. Arch Gen Psychiatry 2004;61(11):1107–15.

Hongtong, D, Ananchaipattana, N, Wongchaiya, P. Drinking patterns and their predictive factors: a case study of a community in Phayao province, Thailand. J Health Res. 2015;29(4):243–9.

Published

2016-05-31

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