TY - JOUR
T1 - Personality profiles and frequent heavy drinking in young adulthood
AU - Zhang, Jieting
AU - Bray, Bethany C.
AU - Zhang, Minqiang
AU - Lanza, Stephanie T.
N1 - Funding Information:
This research uses data from Add Health, a program project directed by Kathleen Mullan Harris and designed by J. Richard Udry, Peter S. Bearman, and Kathleen Mullan Harris at the University of North Carolina at Chapel Hill, and funded by grant P01-HD31921 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development, with cooperative funding from 23 other federal agencies and foundations. Special acknowledgement is due Ronald R. Rindfuss and Barbara Entwisle for assistance in the original design. Information on how to obtain the Add Health data files is available on the Add Health website ( http://www.cpc.unc.edu/addhealth ). No direct support was received from grant P01-HD31921 for this analysis.
Funding Information:
The project described was supported by Award Number P50-DA010075 from the National Institute on Drug Abuse , Award Number GZIT2013-ZB0465 from the Project of Guangzhou Quality Monitoring System for Elementary Education , Award Number BHA130053 from Social Science Fund for Education , and China Scholarship Council . The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute on Drug Abuse or the National Institutes of Health.
Publisher Copyright:
© 2015 Elsevier Ltd.
PY - 2015/7/1
Y1 - 2015/7/1
N2 - Few studies examining the link between personality and alcohol use have adopted a comprehensive modeling framework to take into account individuals' profiles across multiple personality traits. In this study, latent profile analysis (LPA) was applied to a national sample of young adults in the United States to identify subgroups defined by their profiles of mean scores on the Neuroticism, Extraversion, Openness, Agreeableness, and Conscientiousness personality factors. Personality profiles were then used to predict heavy drinking. Five profiles were identified: Reserved, Rigid, Confident, Ordinary, and Resilient. Compared to individuals in the Ordinary profile, those with Reserved and Resilient profiles were at increased risk of frequent heavy drinking. These findings suggest which comprehensive personality profiles may place individuals at risk for problematic alcohol-related outcomes.
AB - Few studies examining the link between personality and alcohol use have adopted a comprehensive modeling framework to take into account individuals' profiles across multiple personality traits. In this study, latent profile analysis (LPA) was applied to a national sample of young adults in the United States to identify subgroups defined by their profiles of mean scores on the Neuroticism, Extraversion, Openness, Agreeableness, and Conscientiousness personality factors. Personality profiles were then used to predict heavy drinking. Five profiles were identified: Reserved, Rigid, Confident, Ordinary, and Resilient. Compared to individuals in the Ordinary profile, those with Reserved and Resilient profiles were at increased risk of frequent heavy drinking. These findings suggest which comprehensive personality profiles may place individuals at risk for problematic alcohol-related outcomes.
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U2 - 10.1016/j.paid.2015.01.054
DO - 10.1016/j.paid.2015.01.054
M3 - Article
AN - SCOPUS:84924061401
SN - 0191-8869
VL - 80
SP - 18
EP - 21
JO - Personality and Individual Differences
JF - Personality and Individual Differences
ER -
