Literature DB >> 18055131

Tobacco and hazardous or harmful alcohol use in Thailand: joint prevalence and associations with socioeconomic factors.

Wichai Aekplakorn1, Margaret C Hogan, Siriwat Tiptaradol, Suwit Wibulpolprasert, Porapan Punyaratabandhu, Stephen S Lim.   

Abstract

This study estimates the individual and joint prevalence of cigarette smoking and alcohol misuse, and examines the association between these risks and socioeconomic factors in Thailand. The self-reported data on cigarette and alcohol use are from a 2004 nationally representative cross-sectional survey of 39290 individuals aged 15 and over. Substantially more men than women were current smokers (45.8% vs. 2.3%; p<0.001) as well as harmful (5.4% vs. 0.9%, p<0.0001) and hazardous alcohol users (11.2% vs. 1.2%, p<0.001). The strongest predictor of alcohol misuse was smoking, and the strongest predictor of smoking was alcohol misuse in both sexes. There was an inverse relationship between education and family income with the odds of current smoking, whereas average levels of family income (not low or high) were associated with higher odds of harmful or hazardous alcohol use. Tobacco and alcohol misuse could be more effectively addressed by targeting and tailoring programs towards those who are most at risk - joint tobacco and harmful or hazardous alcohol users, and those of lower socioeconomic status.

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Year:  2007        PMID: 18055131     DOI: 10.1016/j.addbeh.2007.10.010

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


  17 in total

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2.  Socioeconomic status and smoking among thai adults: results of the National Thai Food Consumption Survey.

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3.  Problem drinking and associated factors in older adults in South Africa.

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Journal:  Afr J Psychiatry (Johannesbg)       Date:  2013-03

4.  Gender and alcohol consumption: patterns from the multinational GENACIS project.

Authors:  Richard W Wilsnack; Sharon C Wilsnack; Arlinda F Kristjanson; Nancy D Vogeltanz-Holm; Gerhard Gmel
Journal:  Addiction       Date:  2009-09       Impact factor: 6.526

5.  Epidemiology of smoking among Malaysian adult males: prevalence and associated factors.

Authors:  Hock Kuang Lim; Sumarni Mohd Ghazali; Cheong Chee Kee; Kuay Kuang Lim; Ying Ying Chan; Huey Chien Teh; Ahmad Faudzi Mohd Yusoff; Gurpreet Kaur; Zarihah Mohd Zain; Mohamad Haniki Nik Mohamad; Sallehuddin Salleh
Journal:  BMC Public Health       Date:  2013-01-07       Impact factor: 3.295

6.  The combined effect of smoking tobacco and drinking alcohol on cause-specific mortality: a 30 year cohort study.

Authors:  Carole L Hart; George Davey Smith; Laurence Gruer; Graham C M Watt
Journal:  BMC Public Health       Date:  2010-12-24       Impact factor: 3.295

7.  Urban and rural variation in clustering of metabolic syndrome components in the Thai population: results from the fourth National Health Examination Survey 2009.

Authors:  Wichai Aekplakorn; Pattapong Kessomboon; Rassamee Sangthong; Suwat Chariyalertsak; Panwadee Putwatana; Rungkarn Inthawong; Wannee Nitiyanant; Surasak Taneepanichskul
Journal:  BMC Public Health       Date:  2011-11-10       Impact factor: 3.295

8.  Screening and concurrent brief intervention of conjoint hazardous or harmful alcohol and tobacco use in hospital out-patients in Thailand: a randomized controlled trial.

Authors:  Supa Pengpid; Karl Peltzer; Apa Puckpinyo; Somchai Viripiromgool; Kriengsak Thamma-Aphiphol; Kawinarat Suthisukhon; Dussanee Dumee; Thiprada Kongtapan
Journal:  Subst Abuse Treat Prev Policy       Date:  2015-05-27

9.  Prevalence of smoking and its associated factors with smoking among elderly smokers in Malaysia: findings from a nationwide population-based study.

Authors:  K H Lim; K Jasvindar; S M Cheong; B K Ho; H L Lim; C H Teh; K J Lau; A Suthahar; D Ambigga
Journal:  Tob Induc Dis       Date:  2016-03-21       Impact factor: 2.600

10.  Alcohol use, drunkenness and tobacco smoking in rural western Kenya.

Authors:  T Q Lo; J E Oeltmann; F O Odhiambo; C Beynon; E Pevzner; K P Cain; K F Laserson; P A Phillips-Howard
Journal:  Trop Med Int Health       Date:  2013-04       Impact factor: 2.622

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