Latent class analysis of drinking behaviors and predictors of latent class membership among college students in the Republic of Korea.
Objectives: We aimed to investigate the drinking patterns of college students and successful predictors of latent class membership (LCM). Methods: We analyzed cross-sectional data obtained from 1,338 Korean college students who had consumed at least one standard drink in their lifetime. Primary data...
| Publicado en: | Journal of Substance Use Vol. 25; no. 3; pp. 336 - 343 |
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| Autores principales: | , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Jun2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=143154268&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 143154268 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14659891 ILV jtl: Journal of Substance Use issn: 14659891 maglogo: Y pubinfo: dt: Jun2020 vid: 25 iid: 3 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 143154268 143154268 143154268 10.1080/14659891.2019.1698672 143154268 ppf: 336 ppct: 7 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Latent class analysis of drinking behaviors and predictors of latent class membership among college students in the Republic of Korea. aug: au: Lee, Haein Park, Sunhee affil: College of Nursing, Research Institute of Nursing Science, Daegu Catholic University, Nam-gu, Daegu, Republic of Korea sug: subj: Alcohol Drinking in College Drinking Behavior Risk Assessment Students, College Psychosocial Factors Human South Korea Cross Sectional Studies Female Male Sex Factors Educational Status Smoking Peer Pressure Binge Drinking Descriptive Statistics Data Analysis Software Convenience Sample Self Report Questionnaires Scales Female Male ab: Objectives: We aimed to investigate the drinking patterns of college students and successful predictors of latent class membership (LCM). Methods: We analyzed cross-sectional data obtained from 1,338 Korean college students who had consumed at least one standard drink in their lifetime. Primary data were collected during December 2016. We conducted latent class analysis to investigate drinking patterns and successful predictors of latent class membership. Results: A three-latent class model best fit our data: low-risk drinking (34%), intermittent binge drinking (37%), and habitual binge drinking with negative experiences (29%) classes. In addition, successful predictors of LCM were gender, college year, monthly allowance, sensation seeking, age of drinking onset, current smoking, peer pressure, and friends' drinking/smoking. Conclusions: Given that heavy drinkers were at greater risk of experiencing negative drinking consequences, health professionals should provide heavy-drinking college students with interventions that aim to equip students with protective behavioral strategies when drinking. In addition, in developing and providing interventions aiming to reduce at-risk drinking, health professionals should take into account the successful predictors of LCM. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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