Event-Specific Drinking in the General Population

Kushnir, Vladyslav; Cunningham, John A.

doi:10.15288/jsad.2014.75.968

Cited by 37 publications

(32 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, whether the patient is admitted to a ward bed or occupies a 'trolley bed' in an ED observation ward, medical and nursing resources are still required to care for these patients. Contrary to the common belief that AAIs occur more commonly around festive periods, (18)(19)(20) our study found that AAIs peaked in April and May. This could be due to the increase in anti-drunk-driving media exposure and highly visible police enforcement with random alcohol breath screening testing, which usually takes place in December and January, around the major holidays, and relative lull in the middle of the year.…”

Section: Discussioncontrasting

confidence: 99%

A national trauma database analysis of alcohol-associated injuries

Lam

Lee

Heng

2019

smedj

View full text Add to dashboard Cite

INTRODUCTION Knowledge of the pattern of alcohol-associated injury (AAI) is lacking in Singapore. We aimed to determine the local demographic pattern, injury mechanism, injury severity and outcomes of AAI. METHODS Data on trauma cases presenting to emergency departments in 2012-2013 was extracted from the National Trauma Registry. Cases with missing data fields and those aged 1-15 years were excluded. Patients were classified as alcohol positive (A+) or negative (A−) based on clinical assessment. The two groups' demographics, injury mechanism, injury severity, mortality and disposition were compared. Logistic regression analysis was used to determine independent associations with mortality. RESULTS 105,468 trauma cases met the inclusion criteria. 3.9% were A+ and their peak age range was 25-44 years. The A+ group had more Indian males (p < 0.001), and significantly more assaults, self-harm and falls (p < 0.001). Injuries in the A+ group were more common in public areas and less common in homes, recreational facilities and workplaces. Outcomes in the A+ group showed higher mean Injury Severity Score and mortality (p < 0.001). Significantly more A+ patients were admitted to hospital but had shorter mean length of stay (p < 0.001). Multivariate logistic regression revealed age > 44 years and male gender as independent predictors of mortality. CONCLUSION AAI in Singapore is associated with more severe injuries and resource utilisation. Using data from the registry, 'at risk' demographic groups are identified for targeted injury prevention. However, alcohol use is not an independent predictor of mortality in trauma cases.

show abstract

Section: Discussioncontrasting

confidence: 99%

A national trauma database analysis of alcohol-associated injuries

Lam

Lee

Heng

2019

smedj

View full text Add to dashboard Cite

show abstract

“…Thus, across both groups, although at varying degrees, users exhibited a cyclic pattern of drinking whereby weekday drinking is lower, with increases on the weekends. This pattern of weekday to weekend drinking escalation is consistent with prior findings with college student and general population samples (e.g., Goldman et al, 2011; Hoeppner et al, 2012; Kushnir & Cunningham, 2014; Maggs et al, 2011). …”

Section: Discussionsupporting

confidence: 90%

“…Findings have shown that a greater portion of daily drinking variation is attributable to the intra-individual (within) versus inter-individual (between) level (Lau-Barraco, Braitman, Stamates, & Linden-Carmichael, in press). Nonstudent drinking tends to peak during holidays (Goldman, Greenbaum, Darkes, Brandon, & Del Boca, 2011; Kushnir & Cunningham, 2014) and on weekends (Kushnir & Cunningham, 2014), with weekday to weekend drinking increases being uniquely associated with social alcohol outcome expectancies (Lau-Barraco, Braitman, Linden-Carmichael, & Stamates, in press). Furthermore, in an effort to understand drinking patterns in nonstudent emerging adults, Cleveland and colleagues (2013) used latent class analysis to identify classes of alcohol users.…”

mentioning

confidence: 99%

A latent profile analysis of drinking patterns among nonstudent emerging adults

Lau‐Barraco

Braitman

Stamates

et al. 2016

Addictive Behaviors

View full text Add to dashboard Cite

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, social drinking motivations) distinguish these sub-groups. Participants were 195 (65.1% men) nonstudent emerging adult heavy episodic drinkers recruited from the community. Mean age was 21.88 (SD = 2.08) years and 45.4% were unemployed. Latent profile analysis identified two classes based on drinking across 30 days. The “moderate drinkers” group (n = 143; 73.3%) reported consuming 10–11 drinks weekly and drinking two to three times per week, on average. The “heavy drinkers” class (n = 52; 26.7%) reported consuming 42–43 drinks weekly and drinking six to seven days per week. Both groups exhibited a cyclic pattern of drinking whereby weekday drinking was lower, with increases on the weekend; the heavy drinkers class had stronger weekend increases starting earlier. Heavy drinkers reported greater volume, frequency, and problematic drinking behaviors, as compared to the moderate drinkers. The heavy drinkers class also endorsed stronger social motives and perceived their peers to drink more. The present study offered unique insights into nonstudent emerging adult drinking patterns by identifying sub-populations of drinkers based on their past 30-day use. Knowledge gained from this study could aide in tailoring existing alcohol interventions to nonstudents to reduce alcohol-related harms.

show abstract

“…These effects were specific to alcohol use and not observed for soda consumption. Numerous studies have revealed similar associations of AUDIT scores and weekends with alcohol use across a variety of populations (e.g., college students, nonstudent emerging adults; older adults; e.g., Kushnir & Cunningham, 2014;Lau-Barraco, Braitman, Linden-Carmichael, & Stamates, 2016;Sacco, Smith, Harrington, Svoboda, & Resnick, 2016;Tremblay et al, 2010). The clear correspondence replicated here supports the construct validity of data collection by revealing expected relationships for between-subject (i.e., AUDIT scores) and within-subject (i.e., weekends) predictors when using this novel data collection method.…”

Section: Discussionmentioning

confidence: 99%

Feasibility, acceptability, and validity of crowdsourcing for collecting longitudinal alcohol use data

Strickland

Stoops

2018

J Exper Analysis Behavior

View full text Add to dashboard Cite

Challenges to conducting longitudinal research include financial, time, and geographic constraints. An emerging sampling method positioned to address these concerns is crowdsourcing. This study evaluated the feasibility, acceptability, and validity of collecting intensive longitudinal alcohol use data with the crowdsourcing platform, Amazon.com's Mechanical Turk (mTurk). Participants (N = 278) recruited from mTurk provided weekly recordings of daily alcohol and soda use over an 18-week period. Construct and external validity was evaluated using generalized linear mixed models describing associations of between-subject (e.g., alcohol use severity) and within-subject (e.g., day of week) variables with prospectively collected alcohol and soda use. High response rates were observed across the 18-week period demonstrating feasibility (64.1%-86.8%). The design was acceptable with 94% of participants indicating they were satisfied with the procedures. Multilevel models supported construct and external validity by replicating expected associations, such as more frequent and heavier drinking by individuals with higher AUDIT scores and on weekends. These effects were specific to alcohol use and did not extend to soda consumption. These data support the feasibility, acceptability, and validity of using mTurk for intensive longitudinal data collection. Future studies may leverage this platform to generate large, geographically diverse samples for prospective behavioral analytic research.

show abstract

Event-Specific Drinking in the General Population

Cited by 37 publications

References 20 publications

A national trauma database analysis of alcohol-associated injuries

A national trauma database analysis of alcohol-associated injuries

A latent profile analysis of drinking patterns among nonstudent emerging adults

Feasibility, acceptability, and validity of crowdsourcing for collecting longitudinal alcohol use data

Contact Info

Product

Resources

About