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Finding groups using model-based cluster analysis

Heterogeneous emotional self-regulatory processes and heavy alcohol use risk

Datos Bibliográficos

ID9785579
AutoresEun Young Mun, EUN‐YOUNG MUN (0000-0002-1820-615X, Rutgers, the State University of New Jersey, autor de correspondencia), Alexander Von Eye (0000-0002-0796-8394, Michigan State University), Marsha E Bates (0000-0002-1406-1993, Rutgers, the State University of New Jersey), Evgeny G Vaschillo, Evgeny Vaschillo (0000-0003-1478-1584, Rutgers, the State University of New Jersey)
Año2008
Volumen44
Número2
Páginas481-495
Fecha de publicación2008-03-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaDevelopmental Psychology (JOURNAL)
Identificadores de la revistaISSN: 0012-1649 • E-ISSN: 1939-0599
EditorialAmerican Psychological Association (APA) (PUBLISHER)
DOI10.1037/0012-1649.44.2.481
PMID18331138
PMCIDPMC2909466
OpenAlexW2082829877
IdiomaEN
Citas recibidas9
Referencias citadas34

Model-based cluster analysis is a new clustering procedure to investigate population heterogeneity utilizing finite mixture multivariate normal densities. It is an inferentially based, statistically principled procedure that allows comparison of nonnested models using the Bayesian information criterion to compare multiple models and identify the optimum number of clusters. The current study clustered 36 young men and women on the basis of their baseline heart rate and heart rate variability (HRV), chronic alcohol use, and reasons for drinking. Two cluster groups were identified and labeled the high alcohol risk and normative groups. Compared to the normative group, individuals in the high alcohol risk group had higher levels of alcohol use and more strongly endorsed disinhibition and suppression reasons for use. The high alcohol risk group showed significant HRV changes in response to positive and negative emotional and appetitive picture cues, compared to neutral cues. In contrast, the normative group showed a significant HRV change only to negative cues. Findings suggest that individuals with autonomic self-regulatory difficulties may be more susceptible to heavy alcohol use and use of alcohol for emotional regulation

Alcohol · Alcohol abuse · Cluster (spacecraft · Developmental psychology · Disinhibition · Environmental health · Heavy drinking · Multivariate statistics · Normative · Poison control · Population · Psychiatry · Statistics · Clinical Psychology · Heart Rate Variability and Autonomic Control · Human Factors and Ergonomics · Medicine · Mental Health Research Topics · Psychology

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Obras citantes distintas9
Citas por año0,6
Intervalo de citas2011 - 2022 (12)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 9
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