03552nas a2200433 4500000000100000008004100001653001400042653000800056653002800064653001300092653001200105100001500117700001200132700001300144700001200157700001300169700001300182700001300195700001200208700001400220700001100234700001400245700001300259700001200272700001100284700001300295700001500308700001400323700001300337700001600350700001200366700001300378700001400391245013900405856006200544300001200606490000700618520249300625 2017 d10aWHO STEPS10aNCD10aHeavy Episodic Drinking10aEthiopia10aalcohol1 aGetachew T1 aDefar A1 aTeklie H1 aGonfa G1 aBekele A1 aBekele A1 aGelibo T1 aAmenu K1 aTaddele T1 aTaye G1 aGetinet M1 aChalla F1 aMudie K1 aGuta M1 aFeleke Y1 aShiferaw F1 aTadesse Y1 aYadeta D1 aG/Michael M1 aGirma Y1 aKebede T1 aTeferra S00aMagnitude and predictors of excessive alcohol use in Ethiopia: Findings from the 2015 national non-communicable diseases STEPS survey. uhttp://ejhd.org/index.php/ejhd/article/download/1537/1077 a312-3190 v313 a

Background: The burden of disease, injury and death associated with excessive alcohol consumption remains high in most countries. Although there were studies done in different parts of Ethiopia that looked at hazardous use and dependence, no national survey was done on excessive alcohol consumption which is an important risk factor for many health and social problems. This study assessed the magnitude and predictors of excessive alcohol use and associated factors in Ethiopia.

Methods: A community based cross-sectional survey was conducted using the WHO STEPwise approach to explore risk factors for NCDs including excessive alcohol consumption. A mix of stratified, three-stage cluster and simple random sampling were used to the study setting or clusters and households. The sampling frame was based on the population and housing census conducted in Ethiopia in 2007. A total of 10,260 households were selected from the 513 enumeration areas. Data were collected using WHO STEPS questionnaire. For this report, Heavy Episodic Drinking was taken as a dependent variable. Descriptive statistics including frequency table, mean, median, interquartile range and standard deviations were computed. Logistic regression was used to analyze the predictors of Heavy Episodic Drinking.

Results: A total of 9,800 participants were interviewed in the study. The majority59.4% of the study subjects were female, 40.4% were aged 15-29 years. The overall prevalence of lifetime alcohol consumption was 49.3%, and 40.7% of the study participants reported consumption of alcohol in the past 30 days, defined as current drinkers. Heavy episodic drinking was reported by 12.4% of the participants (20.5% males and 2.7% females). In multivariate logistic regression, factors independently associated with heavy episodic drinking, after adjusting for other characteristics, were male sex, rural residence, married, and current tobacco smoking.

Conclusion: More than one in five males reported heavy episodic drinking which will predispose them to non-communicable diseases and other risks. Concurrent tobacco smoking is also a major concern. The findings will be helpful to initiate effective public health interventions to reduce heavy episodic drinking and consequently reduce the risks associated with it. It will also serve as a baseline to conduct further studies on this issue in Ethiopia.