ArticleAlcoholism, clinical and experimental research2019
Causal Network Modeling of the Determinants of Drinking Behavior in Comorbid Alcohol Use and Anxiety Disorder.
Article in Alcoholism, clinical and experimental research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05125458 (Interrelationships Among Inflammation, Physical Symptoms, Mental Symptoms and Quality of Life in Subjects With Chronic Inflammatory Physical Diseases.), which is not on this map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Interrelationships Among Inflammation, Physical Symptoms, Mental Symptoms and Quality of Life in Subjects With Chronic Inflammatory Physical Diseases.
Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.
- Virtual reality: a powerful technology to provide novel insight into treatment mechanisms of addiction.Translational psychiatry · 2021Pooled it
- Individualized Assessment and Treatment Program (IATP) for alcohol use disorder: Comparison with conventional cognitive-behavioral treatment and examination of coping skills as a mediator of treatment.Journal of consulting and clinical psychology · 2024Trial
- Sex-dependent role of Neuropeptide-S on anxiety, fear conditioning, and alcohol seeking in alcohol preferring rats.Neuropharmacology · 2025Article
- Immunometabolic Pathways: Investigating Mediators of Major Depressive Disorder and Atherosclerotic Cardiovascular Disease Comorbidity.Biological psychiatry global open science · 2025Article
- Integrating causal discovery and clinically-relevant insights to explore directional relationships between autistic features, sex at birth, and cognitive abilities.Psychological medicine · 2025Article
- Individual and sex differences in frontloading behavior and approach- avoidance conflict preference predict addiction-like ethanol seeking in rats.Scientific reports · 2025Article
- Investigating the causal pathways among psychopathological variables, cognitive impairment, and real-life functioning in people with schizophrenia.Schizophrenia (Heidelberg, Germany) · 2025Article
- A narrative review on alcohol use in women: insight into the telescoping hypothesis from a biopsychosocial perspective.The American journal of drug and alcohol abuse · 2025Review
- Power Analysis for Causal Discovery.International journal of data science and analytics · 2024Article
- A longitudinal causal graph analysis investigating modifiable risk factors and obesity in a European cohort of children and adolescents.Scientific reports · 2024Article
- Comparing Causal Bayesian Networks Estimated from Data.Entropy (Basel, Switzerland) · 2024Article
- Cross-sectional and longitudinal AUD symptom networks: They tell different stories.Addictive behaviors · 2022Article
- Epidemiology of comorbid hazardous alcohol use and insomnia in 19 185 women and men attending the population-based Tromsø Study 2015-2016.BMC public health · 2022Article
- Causal discovery replicates symptomatic and functional interrelations of posttraumatic stress across five patient populations.Frontiers in psychiatry · 2022Article
- Mental health progress requires causal diagnostic nosology and scalable causal discovery.Frontiers in psychiatry · 2022Review
- A novel method for causal structure discovery from EHR data and its application to type-2 diabetes mellitus.Scientific reports · 2021Article
- An integrated multimodal model of alcohol use disorder generated by data-driven causal discovery analysis.Communications biology · 2021Article
- Attentional Bias, Alcohol Craving, and Anxiety Implications of the Virtual Reality Cue-Exposure Therapy in Severe Alcohol Use Disorder: A Case Report.Frontiers in psychology · 2021Article
- Article
- Predictors of Changes in Alcohol Craving Levels during a Virtual Reality Cue Exposure Treatment among Patients with Alcohol Use Disorder.Journal of clinical medicine · 2020Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
backgroundAnxiety and depression disorders (internalizing psychopathology) occur in approximately 50% of patients with alcohol use disorder (AUD) and mark a 2-fold increase in the rate of relapse in the months following treatment. In a previous study using network modeling, we found that perceived stress and drinking to cope (DTC) with negative affect were central to maintaining network associations between internalizing psychopathology INTP and drinking in comorbid individuals. Here, we extend this approach to a causal framework.
methodsMeasures of INTP, drinking urges/behavior, abstinence self-efficacy, and DTC were obtained from 362 adult AUD treatment patients who had a co-occurring anxiety disorder. Data were analyzed using a machine-learning algorithm ("Greedy Fast Causal Inference"[ GFCI]) that infers paths of causal influence while identifying potential influences associated with unmeasured ("latent") variables.
resultsDTC with negative affect served as a central hub for 2 distinct causal paths leading to drinking behavior, (i) a direct syndromic pathway originating with social anxiety and (ii) an indirect stress pathway originating with perceived stress.
conclusionsFindings expand the field's knowledge of the paths of influence that lead from internalizing disorder to drinking in AUD as shown by the first application in psychopathology of a powerful network analysis algorithm (GFCI) to model these causal relationships.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.