Nicki Jackson1, Simon Denny2, Janie Sheridan3, Terry Fleming2, Terryann Clark4, Tasileta Teevale5, Shanthi Ameratunga6. 1. Section of Epidemiology and Biostatistics, School of Population Health, The University of Auckland, Auckland, New Zealand. Electronic address: nicki.jackson@auckland.ac.nz. 2. Department of Paediatrics: Child and Youth Health, The University of Auckland, Auckland, New Zealand. 3. Centre for Addiction Research, The University of Auckland, Auckland, New Zealand. 4. School of Nursing, The University of Auckland, Auckland, New Zealand. 5. Department of Pacific Health, School of Population Health, The University of Auckland, Auckland, New Zealand. 6. Section of Epidemiology and Biostatistics, School of Population Health, The University of Auckland, Auckland, New Zealand.
Abstract
BACKGROUND: Uni-dimensional measures of alcohol consumption may be unable to fully capture the complexity of adolescent drinking and experience of alcohol-related harms. Latent class analysis provides an empirical method to understand different adolescent drinking patterns. METHODS: Latent class analysis was used to create typologies of drinking among the 5018 current drinkers in the national Youth '07 survey. Determinants of drinking patterns were identified using multinomial logistic regression. RESULTS: Four latent classes were identified, demonstrating an overall increase in risk of alcohol-related outcomes from increasing consumption. One class strongly deviated from this pattern, having moderate consumption patterns but disproportionately high levels of alcohol-related problems. Multinomial logistic regression found that the strongest predictors of belonging to high-risk drinking typologies were having a positive attitude to regular alcohol use, buying own alcohol, peers using alcohol, and obtaining alcohol from friends and/or other adults. Other significant predictors included being male, having a strong connection to friends, having parents with a low level of knowledge of their daily activities and poor connection to school. Class membership also varied by ethnicity. CONCLUSION: The latent class approach demonstrated variability in alcohol-related harms across groups of students with different drinking patterns. Longitudinal studies are necessary to determine the causes of this variability in order to inform the development of targeted policy and preventative interventions. Legislative controls, such as increasing the legal purchase age and reducing the commercial availability of alcohol, will continue to be important strategies for reducing harm in young people.
BACKGROUND: Uni-dimensional measures of alcohol consumption may be unable to fully capture the complexity of adolescent drinking and experience of alcohol-related harms. Latent class analysis provides an empirical method to understand different adolescent drinking patterns. METHODS: Latent class analysis was used to create typologies of drinking among the 5018 current drinkers in the national Youth '07 survey. Determinants of drinking patterns were identified using multinomial logistic regression. RESULTS: Four latent classes were identified, demonstrating an overall increase in risk of alcohol-related outcomes from increasing consumption. One class strongly deviated from this pattern, having moderate consumption patterns but disproportionately high levels of alcohol-related problems. Multinomial logistic regression found that the strongest predictors of belonging to high-risk drinking typologies were having a positive attitude to regular alcohol use, buying own alcohol, peers using alcohol, and obtaining alcohol from friends and/or other adults. Other significant predictors included being male, having a strong connection to friends, having parents with a low level of knowledge of their daily activities and poor connection to school. Class membership also varied by ethnicity. CONCLUSION: The latent class approach demonstrated variability in alcohol-related harms across groups of students with different drinking patterns. Longitudinal studies are necessary to determine the causes of this variability in order to inform the development of targeted policy and preventative interventions. Legislative controls, such as increasing the legal purchase age and reducing the commercial availability of alcohol, will continue to be important strategies for reducing harm in young people.
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