Classifying Risky-Drinking College Students: Another Look at the Two-Week Drinker-Type Categorization
Autor: | Summer Tawalbeh, Joseph W. LaBrie, Eric R. Pedersen |
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Rok vydání: | 2007 |
Předmět: |
Adult
Male Periodicity Time Factors Health (social science) Alcohol Drinking education Poison control Toxicology Suicide prevention Article Occupational safety and health Risk-Taking Sex Factors Surveys and Questionnaires mental disorders Injury prevention Humans Medicine Young adult Demography Timeline followback business.industry Incidence Human factors and ergonomics Psychiatry and Mental health Categorization Female business Social psychology Clinical psychology |
Zdroj: | Journal of Studies on Alcohol and Drugs. 68:86-90 |
ISSN: | 1938-4114 1937-1888 |
DOI: | 10.15288/jsad.2007.68.86 |
Popis: | The present study examined the effectiveness of the 2-week period currently used in the categorization of heavy episodic drinking among college students. Two-week drinker-type labels included the following: nonbinge drinker, binge drinker, and frequent binge drinker.Three samples of college student drinkers (104 volunteers, 283 adjudicated students, and 238 freshmen male students) completed the 3-month Timeline Followback assessment of drinking. Drinking behavior during the last 2 weeks of the month before the study was compared with drinking behavior during the first 2 weeks of the same month to compare behavior and resulting labels during both 2- week periods.Inconsistencies existed in drinker-type labels during the first 2 weeks of the month and the last 2 weeks of the month for all three samples. Between 40% and 50% of participants in the three samples were classified as a different drinker type across the month. Nonbinge drinkers experienced a wide range of alcohol-related problems, and much variation existed among the frequent-binge-drinker label.The results suggest that the current definition needs to be modified to accurately identify risky-drinking college students. Expanding the assessment window past 2 weeks of behavior, as well as developing different classification schemes, might categorize risky drinkers more accurately. |
Databáze: | OpenAIRE |
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