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Drug Alcohol Rev ; 42(3): 625-632, 2023 03.
Article in English | MEDLINE | ID: covidwho-2213529

ABSTRACT

INTRODUCTION: The COVID-19 pandemic introduced a unique concern regarding the potential for pandemic-related increases in alcohol use. However, most studies which have measured pandemic-related changes to date utilise self-attribution measures of changes in alcohol use using cross-sectional designs, which rely on accurate self-attributions for validity. There has been minimal investigation of correspondence of self-attributed and longitudinally measured changes in alcohol use during the pandemic. The current study seeks to examine this correspondence. METHODS: A total of 856 participants originally recruited from Australian secondary schools completed follow-up surveys of an ongoing study at two timepoints (2018-2019, mean age 18.6 and 2020-2021, mean age 19.9; 65.3% female). Alcohol use was measured as any drinking (1+ drinks) and binge drinking (5+ drinks) frequency in the past 6 months. The correspondence and relationship between 'longitudinal change' measured from the first to the second timepoint and 'self-attributed change' measured at the second timepoint were examined. RESULTS: For both any drinking and binge drinking frequency, moderate correspondence was observed between self-attributed and longitudinal change in drinking (37.1% and 39.3%). Most participants with longitudinal increases in any drinking or binge drinking frequency failed to correctly self-attribute this increase. DISCUSSION AND CONCLUSIONS: The findings suggest that self-attributed increases do not correspond well with longitudinally measured increases in pandemic-related drinking and may underestimate increases measured longitudinally. Method of measurement needs to be taken into account if data are to be used to identify sub-groups at risk of alcohol use increases and facilitate appropriate direction of public health efforts.


Subject(s)
Binge Drinking , COVID-19 , Humans , Female , Young Adult , Adult , Male , Alcohol Drinking/epidemiology , Binge Drinking/epidemiology , COVID-19/epidemiology , Pandemics , Australia/epidemiology , Cross-Sectional Studies , Longitudinal Studies , Ethanol
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