A comprehensive examination of motivational profiles for alcohol-related behaviors among college students.

Jang

Int J Mental Health Nurs

2023

Alcohol relapse in those who received liver transplantation (LT) for alcohol‐related liver disease can lead to poor graft function, low medication adherence rates and decreased chances of survival. Numerous studies have evaluated on this topic; however, discrepancies in the meaning and measurement of ‘alcohol relapse’ lead to heterogeneous results. This scoping review aimed to explore the conceptual and operational definitions of alcohol relapse in LT recipients with alcohol‐related aetiologies and to examine newly reported risk factors of alcohol relapse. Following the Arksey and O'Malley scoping review method and PRISMA guidelines, structured searches for articles published from 2012 to 2022 were conducted in PubMed, CINAHL, Embase, Cochrane and PsycINFO. Twenty‐eight studies were included in the final review. Alcohol relapse was either defined as ‘any alcohol consumption’ or ‘a certain degree of alcohol drinking’ after transplantation. Discrepancies in the incidence rates persisted even within studies that shared the same conceptual definition. Commonly reported risk factors for alcohol relapse were younger age, social isolation and shorter abstinence periods before LT. Self‐efficacy and post‐transplant complications were newly identified risk factors in recent studies; whereas environmental factors such as external stressors were rarely included. The variance in the definition of alcohol relapse and inconsistent identification methods make it difficult to organize a structured interventional study. A standardized stratification of post‐LT alcohol relapse behaviour is needed to prior to implementing interventions that employ a harm minimization approach. Cost‐effective interventions promoting self‐efficacy could enable the prevention and management of alcohol relapse after LT.

Section: Discussionsupporting

confidence: 90%

Concept and risk factors of alcohol relapse in liver transplant recipients with alcohol‐related aetiologies: A scoping review

Jang

Int J Mental Health Nurs

2023

Experimental and Clinical Psychopharmacology

“…These nontrivial cross-loadings, which only emerged for the hypothesized introjected regulation items, may reflect the fact that introjected regulation lies in between autonomous motivation and external regulation on the self-determination continuum. Our prior research has found large interfactor correlations between autonomous motivation and introjected regulation (r = .68-.74; Richards, Morera, & Field, 2021;Richards, Pearson, & Field, 2021), and that those high on autonomous motivation are generally also high on introjected regulation (Richards et al, 2020(Richards et al, , 2023. A meta-analysis testing the self-determination continuum across behavioral domains of 486 samples with over 205,000 participants found evidence that introjected regulation is not controlled motivation, but a mix of controlled and autonomous motivation (Howard et al, 2017).…”

Section: Figurementioning

confidence: 97%

Measurement of the self-determination continuum of motivation for engaging in alcohol-related harm reduction behaviors: Improved content coverage of the Treatment Self-Regulation Questionnaire.

Richards,

Pearson

2024

Self Cite

Self-determination theory (SDT) proposes that people are more likely to engage in behaviors that reduce the harms associated with alcohol use if they do so for more self-determined reasons. There is growing support for this proposal, but the Treatment Self-Regulation Questionnaire (TSRQ), which assesses the selfdetermination continuum of motivation for engaging in alcohol-related harm reduction behaviors, lacks content coverage. We generated additional items to improve the content coverage of the TSRQ and evaluated its psychometric properties. We also compared two randomly assigned instruction sets that referenced "responsible drinking" or "protective behavioral strategies" (PBS). Participants (n = 2,236) were college students from psychology departments at 10 universities in eight U.S. states who reported pastmonth alcohol use and completed the revised TSRQ; the online survey was completed for partial course credit. Exploratory factor analysis supported a three-factor structure representing autonomous motivation, controlled motivation, and amotivation for the PBS version. This factor structure was confirmed using exploratory structural equation modeling for both the PBS and responsible drinking versions. Scalar invariance was achieved across instruction sets. Latent mean differences showed that those who received the PBS version had lower autonomous and controlled motivation scores, but higher amotivation scores. Associations of the three TSRQ factors with alcohol-related outcomes were consistent with SDT, and the magnitude of these associations did not differ across instruction sets. More accurate assessment of the selfdetermination continuum of motivation for alcohol-related harm reduction behaviors will improve research on this topic which has promising implications for alcohol interventions.

Experimental and Clinical Psychopharmacology

“…In the past 30 days, students reported drinking an average of 5.80 days (SD = 5.73), typically consuming 5.05 drinks per occasion (SD = 6.36), and an average of 2.12 (SD = 3.60) binge drinking episodes. Additional details regarding the study methodology and participant characteristics are reported in prior publications (Richards et al, 2022(Richards et al, , 2023.…”

Section: Addictions Research Teammentioning

confidence: 99%

Regression tree applications to studying alcohol-related problems among college students.

Schwebel,

Pearson,

Richards

et al. 2024

Machine learning algorithms hold promise for developing precision medicine approaches to addiction treatment yet have been used sparingly to identify predictors of alcohol-related problems. Recursive partitioning, a machine learning algorithm, can identify salient predictors and clinical cut points that can guide treatment. This study aimed to identify predictors and cut points of alcohol-related problems and to examine result stability in two separate, large data sets of college student drinkers (n = 5,090 and 2,808). Four regression trees were grown using the “rpart” package in R. Seventy-one predictors were classified as demographics (e.g., age), alcohol use indicators (e.g., typical quantity/frequency), or psychosocial indicators (e.g., anxiety). Predictors and cut points were extracted and used to manually recreate the tree in the other data set to test result stability. Outcome variables were alcohol-related problems as measured by the Alcohol Use Disorder Identification Test and Brief Young Adult Alcohol Consequences Questionnaire. Coping with depression, conformity motives, binge drinking frequency, typical/heaviest quantity, drunk frequency, serious harm reduction protective behavioral strategies, substance use, and psychosis symptoms best predicted alcohol-related problems across the four trees; coping with depression (cut point range: 1.83–2.17) and binge drinking frequency (cut point range: 1.5–2.5) were the most common splitting variables. Model fit indices suggest relatively stable results accounting for 17%–30% of the variance. Results suggest the nine salient predictors, particularly coping with depression motives scores around 2 and binge drinking frequency around two to three times per month, are important targets to consider when treating alcohol-related problems for college students.