Cheryl J Cherpitel1, Jane Witbrodt2, Yu Ye2, Rachael Korcha2. 1. Alcohol Research Group, 6001 Shellmound St. Suite 450, Emeryville, CA 94608, USA. Electronic address: ccherpitel@arg.org. 2. Alcohol Research Group, 6001 Shellmound St. Suite 450, Emeryville, CA 94608, USA.
Abstract
BACKGROUND: While individual-level drinking pattern is an important risk factor for alcohol-related injury, societal-level pattern and alcohol policy are also important, and no research exists on the relationship of these variables with specific causes of injury. METHODS: A probability sample of 14,142 emergency department (ED) patients from 32 ED studies in 28 countries included in the International Collaborative Alcohol and Injury Study (ICAIS) is analyzed using multilevel modeling of individual-level volume and pattern of drinking, country-level detrimental drinking pattern (DDP), and alcohol policy using the International Alcohol Policy and Injury Index (IAPII) on self-reported drinking prior to the injury event, categorized as traffic, violence, fall or other cause. The IAPII includes four domains: availability, vehicular, advertising, and drinking context. RESULTS: Frequent heavy drinking was a strong predictor (p < .0.001) of injuries related to violence (OR = 2.57), falls (OR = 2.86), and other causes (OR = 1.71), while episodic heavy drinking was a significant predictor of injuries related to violence and falls. DDP was a significant predictor (p < 0.05) of traffic (OR = 1.54) and violence-related injuries (OR = 1.38) but lost significance when the IAPII was included. The IAPII was a significant predictor only for traffic injury (OR = 0.97, p < 0.001), and each domain with the exception of context were also significant. CONCLUSIONS: Findings here clearly point to the importance of targeted policies for specific causes of injury as well as the importance of individual and societal drinking patterns, the latter of which may be difficult to influence by preventive measures aimed to reduce alcohol-related injury.
BACKGROUND: While individual-level drinking pattern is an important risk factor for alcohol-related injury, societal-level pattern and alcohol policy are also important, and no research exists on the relationship of these variables with specific causes of injury. METHODS: A probability sample of 14,142 emergency department (ED) patients from 32 ED studies in 28 countries included in the International Collaborative Alcohol and Injury Study (ICAIS) is analyzed using multilevel modeling of individual-level volume and pattern of drinking, country-level detrimental drinking pattern (DDP), and alcohol policy using the International Alcohol Policy and Injury Index (IAPII) on self-reported drinking prior to the injury event, categorized as traffic, violence, fall or other cause. The IAPII includes four domains: availability, vehicular, advertising, and drinking context. RESULTS: Frequent heavy drinking was a strong predictor (p < .0.001) of injuries related to violence (OR = 2.57), falls (OR = 2.86), and other causes (OR = 1.71), while episodic heavy drinking was a significant predictor of injuries related to violence and falls. DDP was a significant predictor (p < 0.05) of traffic (OR = 1.54) and violence-related injuries (OR = 1.38) but lost significance when the IAPII was included. The IAPII was a significant predictor only for traffic injury (OR = 0.97, p < 0.001), and each domain with the exception of context were also significant. CONCLUSIONS: Findings here clearly point to the importance of targeted policies for specific causes of injury as well as the importance of individual and societal drinking patterns, the latter of which may be difficult to influence by preventive measures aimed to reduce alcohol-related injury.
Authors: Cheryl J Cherpitel; Yu Ye; Jason Bond; Jürgen Rehm; Vladimir Poznyak; Scott Macdonald; Martin Stafström; Wei Hao Journal: Addiction Date: 2005-12 Impact factor: 6.526
Authors: Stacy A Sterling; Vanessa A Palzes; Yun Lu; Andrea H Kline-Simon; Sujaya Parthasarathy; Thekla Ross; Joseph Elson; Constance Weisner; Clara Maxim; Felicia W Chi Journal: JAMA Netw Open Date: 2020-05-01