2016
DOI: 10.1016/j.addbeh.2016.06.001
|View full text |Cite
|
Sign up to set email alerts
|

A latent profile analysis of drinking patterns among nonstudent emerging adults

Abstract: Research indicates that nonstudent emerging adults, as compared to their college-attending peers, are at higher risk for experiencing alcohol-related problems, including alcohol use disorders. The present study sought to extend the limited research on nonstudent drinking by (1) identifying sub-groups of nonstudent drinkers based on their drinking patterns and (2) determining the extent to which social-cognitive between-person factors related to drinking (i.e., social expectancies, perceived drinking norms, soc… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
16
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
8

Relationship

2
6

Authors

Journals

citations
Cited by 20 publications
(17 citation statements)
references
References 36 publications
0
16
0
Order By: Relevance
“…Possible total scores ranged from 0 to 24. This measure has been used widely in studies of young adult drinking behavior, in college student (Merrill, Read, & Barnett, 2013), non-student (Lau-Barraco, Braitman, Stamates, & Linden-Carmichael, 2016), and military samples (Miller, Brett, et al, 2016; Pedersen, Parast, et al, 2017). Internal consistency in this sample was high (α = .94).…”
Section: Methodsmentioning
confidence: 99%
“…Possible total scores ranged from 0 to 24. This measure has been used widely in studies of young adult drinking behavior, in college student (Merrill, Read, & Barnett, 2013), non-student (Lau-Barraco, Braitman, Stamates, & Linden-Carmichael, 2016), and military samples (Miller, Brett, et al, 2016; Pedersen, Parast, et al, 2017). Internal consistency in this sample was high (α = .94).…”
Section: Methodsmentioning
confidence: 99%
“…Such unique classes can then be compared on predictors or outcomes of class membership to detect individual characteristics, such as those receiving post-secondary education, associated with membership in a particular drinking class. Prior research has used LCA or similar techniques to illuminate drinking patterns in national samples of emerging adults over time (Auerbach & Collins, 2006), week-level drinking behavior characteristics among college students (Fairlie, Maggs, & Lanza, 2016), and past 30-day drinking among non-students (Lau-Barraco, Braitman, Stamates, & Linden-Carmichael, 2016). Comparisons in drinking classes between college-attending and non-college-attending young adults have received less attention.…”
mentioning
confidence: 99%
“…To our knowledge, there has only been one prior investigation examining the drinking behavior of nonstudents utilizing a daily diary approach (Patrick, Yeomans-Maldonado, & Griffin, 2016); however, this study was restricted only to recent high school graduates, and thus, findings regarding generalizability to other nonstudents remain limited. While there have been a handful of investigations of daily drinking patterns with noncollege populations (e.g., Goldman, Greenbaum, Darkes, Brandon, & Del Boca, 2011; Lau-Barraco, Braitman, Linden-Carmichael, & Stamates, 2016; Lau-Barraco, Braitman, Stamates & Linden-Carmichael, 2016a, 2016b; Reich, Cummings, Greenbaum, Moltisant, & Goldman, 2015), these investigations used a retrospective method via the timeline follow-back (TLFB) procedure, which has been shown to yield less accurate reports of drinking than daily approaches (Carney, Tennen, Affleck, Del Boca, & Kranzler, 1998). Also, these studies focused only on days when drinking occurred without considering days when drinking did not occur.…”
mentioning
confidence: 99%