Hazardous drinking and alcohol use disorders

MacKillop, James; Agabio, Roberta; Ewing, Sarah W. Feldstein; Heilig, Markus; Kelly, John F.; Leggio, Lorenzo; Lingford‐Hughes, Anne; Palmer, Abraham A.; Parry, Charles; Ray, Lara A.; Rehm, Jürgen

doi:10.1038/s41572-022-00406-1

Cited by 70 publications

(25 citation statements)

References 377 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Clinicians are in high need of quick assessments that can be used to efficiently identify and refer high-risk young drinkers who are unlikely to seek or receive intervention. 12 This study uniquely begins to address this critical gap by generating empirically derived rules using baseline characteristics to predict HED frequency, which can help to inform more effective personalized intervention referral. The prediction model identified 12 rules, culled from 21 possible characteristics, in addition to intervention status.…”

Section: Discussionmentioning

confidence: 99%

Prediction Rules Identify Which Young Adults Have Higher Rates of Heavy Episodic Drinking After Exposure to 12-Week Text Message Interventions

Chung,

Suffoletto,

Feldstein Ewing

et al. 2023

Substance Use & Addiction Journal

Self Cite

View full text Add to dashboard Cite

Background: An alcohol text message intervention recently demonstrated effects in reducing heavy episodic drinking (HED) days at the three month follow-up in young adults with a history of hazardous drinking. An important next step in understanding intervention effects involves identifying baseline participant characteristics that predict who will benefit from intervention exposure to support clinical decision-making and guide further intervention development. To identify baseline characteristics that predict HED, this exploratory study used a prediction rule ensemble (PRE). Compared to more complex decision-tree methods (e.g., random forest), PREs have comparable performance, while generating simpler rules that can directly identify subgroups that do or do not respond to intervention. Methods: This secondary analysis examined data from 916 young adults who reported HED (68.5% female, mean age = 22.1, SD = 2.1), were enrolled in an alcohol text message randomized clinical trial and who completed baseline assessment and the three month follow-up. A PRE with ten fold cross-validation, which included 21 baseline variables representing sociodemographic characteristics (e.g., sex, age, race, ethnicity, college enrollment), alcohol consumption (frequency of alcohol consumption, quantity consumed on a typical drinking day, frequency of HED), impulsivity subscales (i.e., negative urgency, positive urgency, lack of premeditation, lack of perseverance, sensation seeking), readiness to change, perceived peer drinking and HED-related consequences, and intervention status were used to predict HED at the three month follow-up. Results: The PRE identified 12 rules that predicted HED at three months ( R2 = 0.23) using 7 baseline features. Only two cases (0.2%) were not classified by the 12 rules. The most important features for predicting three month HED included baseline alcohol consumption, negative urgency score, and perceived peer drinking. Conclusions: The rules provide interpretable decision-making tools that predict who has higher alcohol consumption following exposure to alcohol text message interventions using baseline participant characteristics (prior to intervention), which highlight the importance of interventions related to negative urgency and peer alcohol use.

show abstract

Section: Discussionmentioning

confidence: 99%

Prediction Rules Identify Which Young Adults Have Higher Rates of Heavy Episodic Drinking After Exposure to 12-Week Text Message Interventions

Chung,

Suffoletto,

Feldstein Ewing

et al. 2023

Substance Use & Addiction Journal

Self Cite

View full text Add to dashboard Cite

show abstract

“…Alcohol abuse is a prominent risk factor contributing to the global public health burden. 1,2 Long-term alcohol consumption is associated with the development of alcohol-related liver disease (ALD), a significant cause of chronic liver diseases that affect a substantial number of individuals annually. Approximately 20-40% of ALD patients with hepatic steatosis progress to alcohol-related steatohepatitis, which often develops into hepatic fibrosis, cirrhosis, and even hepatocellular carcinoma.…”

Section: Introductionmentioning

confidence: 99%

Preventive effect of low-carbohydrate high-fat dietary pattern on liver disease caused by alcohol consumption via a 6pgd-involved mechanism in mice

Qiu,

Dong,

Zhuge

et al. 2024

Food Funct.

View full text Add to dashboard Cite

show abstract

“…Despite this, treatment uptake in individuals with AUD is low (Tarp et al, 2022), with only 10% of individuals with AUD in high‐income countries receiving treatment, irrespective of having access to low‐cost or free treatment services (Alonso et al, 2004). Lack of problem awareness and recognition is the most frequent reason for not seeking treatment and suggests that routine monitoring in healthcare settings using a Screening, Brief‐Intervention, and Treatment (SBIRT) approach may be useful in raising awareness, catalyzing self‐directed change, and connecting individuals to more intensive treatments (Hargraves et al, 2017; MacKillop et al, 2022; Probst et al, 2015). A recent study investigating the prevalence of problem drinking recognition and its associations reported that greater problem drinking severity, poorer mental or physical health, and negative life experiences facilitated problem drinking recognition (Spanakis et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Resting state functional connectivity as a predictor of brief intervention response in adults with alcohol use disorder: A preliminary study

Syan,

McIntyre‐Wood,

Vandehei

et al. 2023

Alcohol: Clinical and Experimental Research

Self Cite

View full text Add to dashboard Cite

BackgroundBrief interventions for alcohol use disorder (AUD) are generally efficacious, albeit with variability in response. Resting state functional connectivity (rsFC) may characterize neurobiological indicators that predict the response to brief interventions and is the focus of the current investigation.Materials and MethodsForty‐six individuals with AUD (65.2% female) completed a resting state functional magnetic resonance imaging (fMRI) scan immediately followed by a brief intervention aimed at reducing alcohol consumption. Positive clinical response was defined as a reduction in alcohol consumption by at least one World Health Organization (WHO) risk drinking level at 3‐month follow‐up. rsFC was analyzed using seed‐to‐voxel analysis with seed regions from four networks: salience network, reward network, frontoparietal network, and default mode network.ResultsAt baseline, responders had greater rsFC between the following seed regions in relation to voxel‐based clusters than non‐responders: (i) anterior cingulate cortex (ACC) in relation to left postcentral gyrus and right supramarginal gyrus (salience network); (ii) right posterior parietal cortex in relation to right ventral ACC (salience network); (iii) right interior frontal gyrus (IFG) pars opercularis in relation to right cerebellum and right occipital fusiform gyrus (frontoparietal); and (iv) right primary motor cortex in relation to left thalamus (default mode). Lower rsFC in responders vs. nonresponders was seen between the (i) right rostral prefrontal cortex in relation to left IFG pars triangularis (frontoparietal); (ii) right IFG pars triangularis in relation to right cerebellum (frontoparietal); (iii) right IFG pars triangularis in relation to right frontal eye fields and right angular gyrus (frontoparietal); and (iv) right nucleus accumbens in relation to right orbital frontal cortex and right insula (reward).ConclusionsResting state functional connectivity in the frontoparietal, salience, and reward networks predicts the response to a brief intervention in individuals with AUD and could reflect greater receptivity or motivation for behavior change.

show abstract

Hazardous drinking and alcohol use disorders

Cited by 70 publications

References 377 publications

Prediction Rules Identify Which Young Adults Have Higher Rates of Heavy Episodic Drinking After Exposure to 12-Week Text Message Interventions

Prediction Rules Identify Which Young Adults Have Higher Rates of Heavy Episodic Drinking After Exposure to 12-Week Text Message Interventions

Preventive effect of low-carbohydrate high-fat dietary pattern on liver disease caused by alcohol consumption via a 6pgd-involved mechanism in mice

Resting state functional connectivity as a predictor of brief intervention response in adults with alcohol use disorder: A preliminary study

Contact Info

Product

Resources

About