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Objective: To examine how sociodemographic factors and alcohol consumption are related to a four-way typology of causing harm to others and/or being harmed by othersâ€™ and oneâ€™s own drinking.
Data and methods: Data from the 2011 Danish national survey (n = 2,569) were analyzed with multinomial logistic regression.
Results: Younger age and heavy drinking were significant correlates of both causing harm and being harmed. Women and better educated respondents were more likely to report negative effects on relationship and family from anotherâ€™s drinking. Better educated respondents had higher risks for work, financial, or injury harms from anotherâ€™s drinking. Mean alcohol consumption and risky single occasion drinking were related to both causing harm and being harmed from oneâ€™s own drinking.
Conclusions: Drinking variables were the strongest correlates of causing harm and being harmed. Efforts to reduce risky drinking may also help reduce exposures to collateral harm.
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