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Piccoli LR, Albertella L, Christensen E, Fontenelle LF, Suo C, Richardson K, Yücel M, Lee RS. Cognitive inflexibility moderates the relationship between relief-driven drinking motives and alcohol use. Addict Behav Rep 2024; 20:100559. [PMID: 39045445 PMCID: PMC11263493 DOI: 10.1016/j.abrep.2024.100559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 06/21/2024] [Accepted: 06/26/2024] [Indexed: 07/25/2024] Open
Abstract
Introduction Drinking motives and neurocognition play significant roles in predicting alcohol use. There is limited research examining how relief-driven drinking motives interact with neurocognition in alcohol use, which would help to elucidate the neurocognitive-motivational profiles most susceptible to harmful drinking. This study investigated the interactions between neurocognition (response inhibition and cognitive flexibility) and relief-driven drinking, in predicting problem drinking. Methods Participants completed the Alcohol Use Disorders Identification Test - Consumption items (AUDIT-C) to measure drinking behaviour, and online cognitive tasks, including the Value-Modulated Attentional Capture and Reversal Task (VMAC-R) and the Stop Signal Task (SST). The sample (N = 368) were individuals who drink alcohol, which included a subsample (N = 52) with problematic drinking, as defined by self-identifying as having a primary drinking problem. Drinking motives were assessed using a binary coping question in the overall sample, and the Habit, Reward, and Fear Scale (HRFS) in the subsample. Moderation analyses were conducted to investigate whether cognitive flexibility and response inhibition moderated relationships between relief-driven motives and drinking. Results Cognitive flexibility moderated the relationship between relief-driven motives and drinking (overall sample: β = 13.69, p = 0.017; subsample: β = 1.45, p = 0.013). Greater relief-driven motives were associated with heavier drinking for individuals with low cognitive flexibility. There was no significant interaction between response inhibition and relief-driven motives. Conclusions Relief-driven drinking motives interact with cognitive inflexibility to drive heavier drinking. Greater understanding of these neurocognitive-motivational mechanisms may help to develop more targeted and effective interventions for reducing harmful drinking.
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Affiliation(s)
- Lara R. Piccoli
- BrainPark, Monash Biomedical Imaging, The Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
| | - Lucy Albertella
- BrainPark, Monash Biomedical Imaging, The Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
| | - Erynn Christensen
- BrainPark, Monash Biomedical Imaging, The Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
| | - Leonardo F. Fontenelle
- Institute of Psychiatry of the Federal University of Rio de Janeiro, Brazil
- D’Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil
| | - Chao Suo
- BrainPark, Monash Biomedical Imaging, The Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
| | - Karyn Richardson
- BrainPark, Monash Biomedical Imaging, The Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
| | - Murat Yücel
- Department of Psychiatry, School of Clinical Sciences, Monash University, Australia
- QIMR Berghofer Medical Research Institute, Australia
| | - Rico S.C. Lee
- BrainPark, Monash Biomedical Imaging, The Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
- The Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Australia
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Kurihara K, Shinzato H, Takaesu Y, Kondo T. Drinking behavior patterns may be associated with persistent depressive symptoms after alcohol abstinence in alcohol use disorder. Neuropsychopharmacol Rep 2024; 44:381-388. [PMID: 38463015 PMCID: PMC11144622 DOI: 10.1002/npr2.12429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 02/15/2024] [Accepted: 02/25/2024] [Indexed: 03/12/2024] Open
Abstract
AIM This study examined the association between drinking behavior patterns and depressive symptoms after alcohol abstinence in patients with alcohol use disorder (AUD). METHOD We recruited 102 AUD inpatients with baseline depressive symptoms, indicated by scores ≥6 on the Quick Inventory of Depressive Symptomatology Self-Report Japanese Version (QIDS-SR-J) pre-detoxification. Post-4-week abstinence, remission was defined as QIDS-SR-J scores <6. Patients were classified into remitted (n = 51) and persistent (n = 51) groups. Comparative analyses were conducted using patient profiles and the Drinking Behavior Pattern 20-item Questionnaire (DBP-20). Logistic regression identified factors related to post-abstinence persistent depression. Receiver operating characteristic curve analysis determined DBP-20 cutoff scores differentiating between persistent and remitted depression. RESULTS The persistent group exhibited higher scores in the DBP-20 "coping with negative affect" subscale. Logistic regression showed low education, unemployment, and using alcohol for coping as significant factors for persistent depression. Conversely, an automatic drinking pattern indicated natural remission post-abstinence. A subscale score of ≥8 in alcohol use for coping, especially among unemployed patients, predicted persistent depression (sensitivity 86.8%, positive predictive value 73.3%). CONCLUSION Unemployed patients with AUD using alcohol to cope with negative affect may experience residual depression even after detoxification. In contrast, patients with AUD with predominantly automatic drinking behavior may exhibit natural remission post-abstinence.
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Affiliation(s)
- Kazuhiro Kurihara
- Department of Neuropsychiatry, Graduate School of MedicineUniversity of the RyukyusOkinawaJapan
| | - Hotaka Shinzato
- Department of Neuropsychiatry, Graduate School of MedicineUniversity of the RyukyusOkinawaJapan
| | - Yoshikazu Takaesu
- Department of Neuropsychiatry, Graduate School of MedicineUniversity of the RyukyusOkinawaJapan
| | - Tsuyoshi Kondo
- Department of Neuropsychiatry, Graduate School of MedicineUniversity of the RyukyusOkinawaJapan
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Piquet-Pessôa M, de Oliveira J, Ribeiro AP, Albertella L, Ferreira GM, de Menezes GB, Fontenelle LF. Habit-, reward- and fear-related motivations in alcohol use disorder: A one-year prospective study. J Psychiatr Res 2023; 168:263-268. [PMID: 37891039 DOI: 10.1016/j.jpsychires.2023.10.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 08/17/2023] [Accepted: 10/14/2023] [Indexed: 10/29/2023]
Abstract
OBJECTIVE Cross-sectional studies show that habitual use of alcohol is associated with severity of alcohol dependence reflected across a range of domains and lower number of detoxifications in multiple settings. In this study, we investigated whether alcohol use disorder (AUD) patients with greater habitual use of alcohol at baseline showed worse outcomes after one year of follow-up. METHODS A sample of inpatients with Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) alcohol use disorder (AUD) was assessed at baseline (n = 50) and after one year (n = 30). The Habit, Reward, and Fear Scale (HRFS) was employed to quantify affective (fear or reward) and non-affective (habitual) drives for alcohol use, the Alcohol Dependence Scale (ADS) was used to assess clinical outcomes, and the Depression, Anxiety and Stress Scale (DASS-21) was used to quantify and control for associated affective symptoms. RESULTS There was a significant reduction in the three HRFS scores at the follow-up. Regression analyses demonstrated that greater habit- and fear-related drives at baseline predicted greater decreases in the ADS scores at the endpoint. However, after controlling for age, sex and affective symptoms, only reward and fear were associated with reductions in ADS scores at the end of one year. Prescriptions of naltrexone and antidepressants/benzodiazepines did not predict decreases in reward and fear-related motivations. CONCLUSION Although we were unable to confirm that habitual subscores at baseline predict worse long-term outcomes among inpatients with AUD, we found that a greater fear and reward motives for the use of alcohol predicted a greater magnitude of improvement in the AUD symptoms after one year. We hope that these findings will help develop new approaches toward AUD treatment and inform models of addiction research.
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Affiliation(s)
- Marcelo Piquet-Pessôa
- Obsessive, Compulsive, and Anxiety Spectrum Research Program, Institute of Psychiatry of the Federal University of Rio de Janeiro (UFRJ), Brazil; Espaço Village Rehabilitation Center, Rio de Janeiro, Brazil
| | | | - Ana Paula Ribeiro
- Obsessive, Compulsive, and Anxiety Spectrum Research Program, Institute of Psychiatry of the Federal University of Rio de Janeiro (UFRJ), Brazil
| | - Lucy Albertella
- BrainPark, Turner Institute for Mental Health, Monash University, Australia
| | - Gabriela M Ferreira
- Department of Forensic Medicine and Psychiatry, Federal University of Paraná (UFPR), Curitiba, Brazil
| | - Gabriela B de Menezes
- Obsessive, Compulsive, and Anxiety Spectrum Research Program, Institute of Psychiatry of the Federal University of Rio de Janeiro (UFRJ), Brazil; D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil
| | - Leonardo F Fontenelle
- Obsessive, Compulsive, and Anxiety Spectrum Research Program, Institute of Psychiatry of the Federal University of Rio de Janeiro (UFRJ), Brazil; D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil.
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Kurihara K, Shinzato H, Takaesu Y, Kondo T. Associations between relapse and drinking behaviors in patients with alcohol use disorders: A 6-month prospective study. Neuropsychopharmacol Rep 2023; 43:633-640. [PMID: 38069609 PMCID: PMC10739145 DOI: 10.1002/npr2.12405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 11/13/2023] [Accepted: 11/23/2023] [Indexed: 12/23/2023] Open
Abstract
BACKGROUND Habitual behaviors, rather than goal-oriented behaviors, mainly characterize drinking patterns in patients with alcohol use disorder (AUD). However, few studies have focused on the influence of drinking behavior on AUD relapse. This prospective study examined associations between drinking behavior patterns and alcohol-use relapse using the 20-item questionnaire for drinking behavior patterns (DBP-20). METHODS We enrolled patients with AUD and compared the cohort's demographic data and 6-month outcomes based on the DBP-20 and the Alcohol Use Disorders Identification Test between two groups (alcohol use relapse vs. abstinence). We also assessed the results for significant factors related to relapse. RESULTS We included 105 patients with AUD. More patients in the relapse group (n = 63) were active smokers and lived alone, while fewer took medication with cyanamide or disulfiram than those in the abstinence group (n = 42). The DBP-20 automaticity subscale score was higher in the relapse group than that in the abstinence group. Current smoker, living alone, and automatic drinking habits were significantly associated with AUD relapse. CONCLUSIONS Automaticity may be a risky drinking behavior that leads to future relapse in patients with AUD, justifying behavioral strategies to combat automatic drinking for relapse prevention.
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Affiliation(s)
- Kazuhiro Kurihara
- Department of Neuropsychiatry, Graduate School of MedicineUniversity of the RyukyusOkinawaJapan
| | - Hotaka Shinzato
- Department of Neuropsychiatry, Graduate School of MedicineUniversity of the RyukyusOkinawaJapan
| | - Yoshikazu Takaesu
- Department of Neuropsychiatry, Graduate School of MedicineUniversity of the RyukyusOkinawaJapan
| | - Tsuyoshi Kondo
- Department of Neuropsychiatry, Graduate School of MedicineUniversity of the RyukyusOkinawaJapan
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5
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Lee RSC, Albertella L, Christensen E, Suo C, Segrave RA, Brydevall M, Kirkham R, Liu C, Fontenelle LF, Chamberlain SR, Rotaru K, Yücel M. A Novel, Expert-Endorsed, Neurocognitive Digital Assessment Tool for Addictive Disorders: Development and Validation Study. J Med Internet Res 2023; 25:e44414. [PMID: 37624635 PMCID: PMC7615064 DOI: 10.2196/44414] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 02/16/2023] [Accepted: 07/22/2023] [Indexed: 08/26/2023] Open
Abstract
BACKGROUND Many people with harmful addictive behaviors may not meet formal diagnostic thresholds for a disorder. A dimensional approach, by contrast, including clinical and community samples, is potentially key to early detection, prevention, and intervention. Importantly, while neurocognitive dysfunction underpins addictive behaviors, established assessment tools for neurocognitive assessment are lengthy and unengaging, difficult to administer at scale, and not suited to clinical or community needs. The BrainPark Assessment of Cognition (BrainPAC) Project sought to develop and validate an engaging and user-friendly digital assessment tool purpose-built to comprehensively assess the main consensus-driven constructs underpinning addictive behaviors. OBJECTIVE The purpose of this study was to psychometrically validate a gamified battery of consensus-based neurocognitive tasks against standard laboratory paradigms, ascertain test-retest reliability, and determine their sensitivity to addictive behaviors (eg, alcohol use) and other risk factors (eg, trait impulsivity). METHODS Gold standard laboratory paradigms were selected to measure key neurocognitive constructs (Balloon Analogue Risk Task [BART], Stop Signal Task [SST], Delay Discounting Task [DDT], Value-Modulated Attentional Capture [VMAC] Task, and Sequential Decision-Making Task [SDT]), as endorsed by an international panel of addiction experts; namely, response selection and inhibition, reward valuation, action selection, reward learning, expectancy and reward prediction error, habit, and compulsivity. Working with game developers, BrainPAC tasks were developed and validated in 3 successive cohorts (total N=600) and a separate test-retest cohort (N=50) via Mechanical Turk using a cross-sectional design. RESULTS BrainPAC tasks were significantly correlated with the original laboratory paradigms on most metrics (r=0.18-0.63, P<.05). With the exception of the DDT k function and VMAC total points, all other task metrics across the 5 tasks did not differ between the gamified and nongamified versions (P>.05). Out of 5 tasks, 4 demonstrated adequate to excellent test-retest reliability (intraclass correlation coefficient 0.72-0.91, P<.001; except SDT). Gamified metrics were significantly associated with addictive behaviors on behavioral inventories, though largely independent of trait-based scales known to predict addiction risk. CONCLUSIONS A purpose-built battery of digitally gamified tasks is sufficiently valid for the scalable assessment of key neurocognitive processes underpinning addictive behaviors. This validation provides evidence that a novel approach, purported to enhance task engagement, in the assessment of addiction-related neurocognition is feasible and empirically defensible. These findings have significant implications for risk detection and the successful deployment of next-generation assessment tools for substance use or misuse and other mental disorders characterized by neurocognitive anomalies related to motivation and self-regulation. Future development and validation of the BrainPAC tool should consider further enhancing convergence with established measures as well as collecting population-representative data to use clinically as normative comparisons.
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Affiliation(s)
- Rico S. C. Lee
- BrainPark, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
- Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Australia
| | - Lucy Albertella
- BrainPark, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
| | - Erynn Christensen
- BrainPark, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
| | - Chao Suo
- BrainPark, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
| | - Rebecca A. Segrave
- BrainPark, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
| | - Maja Brydevall
- BrainPark, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
| | - Rebecca Kirkham
- BrainPark, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
| | - Chang Liu
- BrainPark, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
| | - Leonardo F. Fontenelle
- BrainPark, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
- Obsessive, Compulsive, and Anxiety Spectrum Research Program, Institute of Psychiatry, Federal University of Rio de Janeiro (UFRJ)
- D’Or Institute for Research and Education, Rio de Janeiro, Brazil
| | - Samuel R. Chamberlain
- Department of Psychiatry, University of Southampton, Southampton, United Kingdom; and Southern Health NHS Foundation Trust, Southampton, UK
| | - Kristian Rotaru
- BrainPark, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
- Monash Business School, Monash University, Melbourne, Australia
| | - Murat Yücel
- BrainPark, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
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6
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Nicholson L, Mullan B, Liddelow C. Investigating the role of morningness/eveningness in physical activity engagement. Health Psychol Behav Med 2022; 10:1003-1019. [PMID: 36277117 PMCID: PMC9586684 DOI: 10.1080/21642850.2022.2136183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Objective Despite being aware of the positive health-related outcomes of physical activity, many people remain inactive. The aim of this study is to apply a combination of constructs from the health action process approach and self-determination theory, as well as habit and morningness/eveningness, to predict physical activity engagement. Methods A prospective design was used to collect data from 136 participants (16–64 years old), at two-time points, one week apart. The sample consisted of 99 women, 36 men and 1 individual who identified as non-binary. Participants preferred time-of-day was measured using the Morningness-Eveningness Stability Scale (MESSi), while physical activity engagement was measured using the International Physical Activity Questionnaire (short-version). Two hierarchical, multiple regressions were conducted, to predict motivation to engage and to directly predict physical activity engagement. Furthermore, a mediation analysis was conducted to determine the effect of planning on physical activity engagement. Results Results showed that younger individuals and those with greater self-efficacy were more motivated to engage while planning directly predicted physical activity engagement. However, morningness/eveningness did not significantly predict engagement. Additionally, planning was found to mediate the motivation-engagement relationship. Conclusion This study demonstrates how planning influences individuals’ physical activity engagement, as well as the role self-efficacy and age play in their motivation to engage. Even though morningness/eveningness was not an important predictor, behaviour change techniques related to action planning and the use of multi-component approaches to behaviour change, could be used in interventions focused on increasing individuals’ physical activity engagement.
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Affiliation(s)
- Lauren Nicholson
- School of Population Health, Curtin University, Perth, Australia
- Enable Institute, Curtin University, Perth, Australia
| | - Barbara Mullan
- School of Population Health, Curtin University, Perth, Australia
- Enable Institute, Curtin University, Perth, Australia
- WACPRU, Curtin University, Perth, Australia
| | - Caitlin Liddelow
- Global Alliance for Mental Health and Sport, School of Psychology, University of Wollongong, Wollongong, Australia
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Seidel M, King JA, Fürtjes S, Labitzke N, Wronski ML, Boehm I, Hennig J, Gramatke K, Roessner V, Ehrlich S. Increased Habit Frequency in the Daily Lives of Patients with Acute Anorexia Nervosa. Nutrients 2022; 14:nu14193905. [PMID: 36235556 PMCID: PMC9573582 DOI: 10.3390/nu14193905] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 09/10/2022] [Accepted: 09/16/2022] [Indexed: 11/16/2022] Open
Abstract
Strict eating routines and frequent rigid behavior patterns are commonly observed in patients with anorexia nervosa (AN). A recent theory proposes that while these behaviors may have been reinforced initially, they later become habitual. To date, however, research has been overly focused on eating-disorder (ED)-related habits. Over the course of seven days, we applied an ecological momentary assessment (EMA) to investigate the habit frequency and strength of ED-specific (food intake) and ED-unspecific (hygiene) habits in the daily lives of a sample of n = 57 AN and n = 57 healthy controls (HC). The results of the hierarchical models revealed that habits were significantly more likely in patients compared with HC for both categories, independently. Furthermore, a lower body mass index (BMI) was associated with increased habit frequency in AN. Our study strengthens the habit theory of AN by showing the relevance of habits beyond ED-specific behavioral domains. This also supports the development of innovative therapeutic interventions targeting habitual behavior in EDs.
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Affiliation(s)
- Maria Seidel
- Translational Developmental Neuroscience Section, Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, Technische Universität Dresden, 01307 Dresden, Germany
- Correspondence: ; Tel.: +49-(0)351-458-2244
| | - Joseph A. King
- Translational Developmental Neuroscience Section, Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, Technische Universität Dresden, 01307 Dresden, Germany
| | - Sophia Fürtjes
- Translational Developmental Neuroscience Section, Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, Technische Universität Dresden, 01307 Dresden, Germany
| | - Natalie Labitzke
- Translational Developmental Neuroscience Section, Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, Technische Universität Dresden, 01307 Dresden, Germany
| | - Marie-Louis Wronski
- Translational Developmental Neuroscience Section, Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, Technische Universität Dresden, 01307 Dresden, Germany
| | - Ilka Boehm
- Translational Developmental Neuroscience Section, Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, Technische Universität Dresden, 01307 Dresden, Germany
| | - Julius Hennig
- Translational Developmental Neuroscience Section, Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, Technische Universität Dresden, 01307 Dresden, Germany
| | - Katrin Gramatke
- Eating Disorder Treatment and Research Center, Department of Child and Adolescent Psychiatry, Faculty of Medicine, Technische Universität Dresden, 01307 Dresden, Germany
| | - Veit Roessner
- Department of Child and Adolescent Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital Dresden, 01307 Dresden, Germany
| | - Stefan Ehrlich
- Translational Developmental Neuroscience Section, Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, Technische Universität Dresden, 01307 Dresden, Germany
- Eating Disorder Treatment and Research Center, Department of Child and Adolescent Psychiatry, Faculty of Medicine, Technische Universität Dresden, 01307 Dresden, Germany
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Kurihara K, Shinzato H, Koda M, Enoki H, Otsuru T, Takaesu Y, Kondo T. Development of a 20-item questionnaire for drinking behavior pattern (DBP-20) toward personalized behavioral approaches for alcohol use disorder. Alcohol 2022; 101:9-16. [PMID: 35306110 DOI: 10.1016/j.alcohol.2022.03.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2021] [Revised: 01/13/2022] [Accepted: 03/10/2022] [Indexed: 11/18/2022]
Abstract
Although screening tools are available for alcohol use disorders (AUD), such as the Alcohol Use Disorders Identification Test (AUDIT), these tools do not directly characterize individual drinking behavior for patients with AUD. Therefore, the aim of this study was to develop a new self-report questionnaire to identify the characteristics of drinking behavior patterns in patients with AUD.The study team developed a self-administered 20-item questionnaire for drinking behavior pattern (DBP-20) based on semi-structured interviews of patients with AUD. The DBP-20 and AUDIT were administered to 232 patients with AUD and 222 normal drinkers (1 ≤ AUDIT <20) as controls. Exploratory factor analysis of the DBP-20 was conducted for patients with AUD, followed by comparisons of its item and subscale scores between patients with AUD and controls. Correlations of AUDIT with total and subscale scores of the DBP-20 were also analyzed. Receiver operating characteristic (ROC) analyses for the DBP-20 and its subscales were performed to distinguish patients with AUD from controls.Exploratory factor analysis revealed a multidimensional 4-factor model of the DBP-20: coping with negative affect, automaticity, enhancement, and social use. Significant differences in DBP-20 total and subscale scores were observed for patients with AUD versus controls for all factors, except the social use subscale. Both the coping with negative affect and automaticity subscale scores as well as total DBP-20 scores were highly correlated with AUDIT scores. Total DBP-20 scores showed the greatest sensitivity, negative predictive value, and area under the ROC curve to distinguish patients with AUD from normal drinkers.Drinking as a means of coping with negative affect and automaticity may be specific for patients with AUD. DBP-20 may help patients with AUD to be aware of their own targeted problematic drinking behaviors and to seek their personalized behavioral approaches in a collaborative relationship with therapists.
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Affiliation(s)
- Kazuhiro Kurihara
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan; Department of Psychiatry, National Hospital Organization Ryukyu Hospital, Okinawa, Japan.
| | - Hotaka Shinzato
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
| | - Munenaga Koda
- Graduate School of Technology, Industrial and Social Sciences, Tokushima University, Tokushima, Japan
| | - Hiroyuki Enoki
- Major in Clinical Psychology, Graduate School of Psychological Sciences, Hiroshima International University, Hiroshima, Japan
| | - Taku Otsuru
- Department of Psychiatry, National Hospital Organization Ryukyu Hospital, Okinawa, Japan
| | - Yoshikazu Takaesu
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
| | - Tsuyoshi Kondo
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
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9
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Ramakrishnan S, Robbins TW, Zmigrod L. The Habitual Tendencies Questionnaire: A tool for psychometric individual differences research. Personal Ment Health 2022; 16:30-46. [PMID: 34196130 DOI: 10.1002/pmh.1524] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 05/31/2021] [Accepted: 06/08/2021] [Indexed: 01/06/2023]
Abstract
Habits are automatic responses to learned stimuli or contextual cues that are insensitive to goals. Although habits may allow for automated behaviours that increase efficiency in our daily lives, an over-reliance on habits has been suggested to contribute to disorders such as obsessive-compulsive disorder (OCD). There are currently few established measures of individual differences in habitual tendencies. To fill this gap, the present study generated and validated a novel 11-item scale, the Habitual Tendencies Questionnaire (HTQ), to measure individual differences in habitual tendencies in the general population. In Study 1, factor analysis revealed three underlying subcomponents of the HTQ: Compulsivity, Preference for Regularity, and Aversion to Novelty, with Compulsivity showing the strongest association with subclinical OCD symptomatology. Study 2 validated the HTQ and replicated the findings of Study 1 in a larger sample, and explored relationships with other personality traits. The results emphasise the importance of measuring individual variation in habitual thinking styles, illustrating that different facets of habitual tendencies may contribute to diverse behavioural and clinical outcomes. The present investigation provides a new, reliable way of measuring habitual tendencies and has important implications for future explorations into the nature of individual differences from a dimensional perspective to psychiatry.
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Affiliation(s)
| | - Trevor W Robbins
- Department of Psychology, University of Cambridge, Cambridge, UK.,Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - Leor Zmigrod
- Department of Psychology, University of Cambridge, Cambridge, UK.,Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
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10
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Hong T, He C, Gu ZK, Xie JJ, Lu Q, Li YQ, Xu XJ, Shen Y, Wang YQ, Zheng H. Psychometric investigation of the Chinese version of the Habit, Reward and Fear Scale (HRFS). Brain Behav 2021; 11:e2364. [PMID: 34554655 PMCID: PMC8613424 DOI: 10.1002/brb3.2364] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 08/14/2021] [Accepted: 08/31/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Tobacco use is one of the most important risk factors for health, and China is the largest producer and consumer of tobacco in the world. Monitoring and controlling the tobacco epidemic is an important issue. However, the motivation underlying smoking behavior is complex and specific to the individual. The Habit, Reward and Fear Scale (HRFS) is a feasible tool to evaluate this complex motivation. OBJECTIVES To validate the psychometric properties of the HRFS Chinese version (HRFS-C) and to assess the relationship between motivation and smoking behavior. METHOD We recruited 967 participants through social media and assessed their smoking behavior with three instruments: the Fagerstrom Test for Nicotine Dependence-Chinese version (FTND-C), the Questionnaire on Smoking Urges-Brief Scale-Chinese version (QSU-brief-C), and the HRFS-C. Ultimately, we retained 700 valid data points. Cronbach's α and split-half tests were used to evaluate the reliability. Confirmatory factor analysis, Pearson's r and an analysis of variance (ANOVA) were used to evaluate the validity. In addition, linear regression was used to explore the relationship among the three instruments. The HRFS-C showed good homogeneity (α = 0.965), concurrent validity, and discriminant validity. A significant linear relationship was observed among the FTND-C, QSU-brief-C, and HRFS-C (p < .001). CONCLUSION The motivation measured by the HRFS-C can significantly predict nicotine dependence and craving in the smoking population. The HRFS-C can be used to carry out targeted interventions for addicted patients (e.g., motivational enhancement therapy).
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Affiliation(s)
- Tu Hong
- Department of Rehabilitation Medicine, The Affiliated Jiangsu Shengze Hospital of Nanjing Medical University, Suzhou, China.,College of Psychology, Nanjing Normal University, Nanjing, China
| | - Chuan He
- Department of Rehabilitation Medicine, The Affiliated Jiangsu Shengze Hospital of Nanjing Medical University, Suzhou, China
| | - Zhong-Ke Gu
- Department of Sport and Health Sciences, Nanjing Sport Institute, Nanjing, China
| | - Jun-Jie Xie
- College of Psychology, Nanjing Normal University, Nanjing, China
| | - Qian Lu
- Department of Rehabilitation Medicine, The Affiliated Jiangsu Shengze Hospital of Nanjing Medical University, Suzhou, China
| | - Yong-Qiang Li
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xing-Jun Xu
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Ying Shen
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yun-Qiang Wang
- College of Psychology, Nanjing Normal University, Nanjing, China
| | - Hui Zheng
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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11
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Hook RW, Grant JE, Ioannidis K, Tiego J, Yücel M, Wilkinson P, Chamberlain SR. Trans-diagnostic measurement of impulsivity and compulsivity: A review of self-report tools. Neurosci Biobehav Rev 2021; 120:455-469. [PMID: 33115636 PMCID: PMC7116678 DOI: 10.1016/j.neubiorev.2020.10.007] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 08/15/2020] [Accepted: 10/14/2020] [Indexed: 12/16/2022]
Abstract
INTRODUCTION Impulsivity and compulsivity are important constructs, relevant to understanding behaviour in the general population, as well as in particular mental disorders (e.g. attention deficit hyperactivity disorder, obsessive-compulsive disorder). The current paper provides a narrative review of self-report impulsivity and compulsivity scales. METHODS A literature search was conducted using the following terms: ("impulsivity" OR "compulsivity") AND ("self-report" OR "questionnaire" OR "psychometric" OR "scale"). RESULTS 25 impulsive and 11 compulsive scales were identified, which varied considerably in psychometric properties, convenience, and validity. For impulsivity, the most commonly used scales were the BIS and the UPPS-P, whilst for compulsivity, the Padua Inventory was commonly used. The majority of compulsivity scales measured OCD symptoms (obsessions and compulsions) rather than being trans-diagnostic or specific to compulsivity (as opposed to obsessions). Scales capable of overcoming these limitations were highlighted. DISCUSSION This review provides clarity regarding relative advantages and disadvantages of different scales relevant to the measurement of impulsivity and compulsivity in many contexts. Areas for further research and refinement are highlighted.
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Affiliation(s)
- Roxanne W Hook
- Department of Psychiatry, University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB2 0SZ, United Kingdom.
| | - Jon E Grant
- Department of Psychiatry, University of Chicago, Pritzker School of Medicine, USA
| | - Konstantinos Ioannidis
- Cambridge and Peterborough NHS Foundation Trust and Department of Psychiatry, University of Cambridge, UK
| | - Jeggan Tiego
- Neural Systems and Behaviour Lab, Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Australia
| | - Murat Yücel
- BrainPark, Turner Institute for Brain and Mental Health, School of Psychological Sciences and Monash Biomedical Imaging Facility, Monash University, Australia
| | - Paul Wilkinson
- Department of Psychiatry, University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB2 0SZ, United Kingdom; Cambridge and Peterborough NHS Foundation Trust and Department of Psychiatry, University of Cambridge, UK
| | - Samuel R Chamberlain
- Department of Psychiatry, University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB2 0SZ, United Kingdom; Cambridge and Peterborough NHS Foundation Trust and Department of Psychiatry, University of Cambridge, UK
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12
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Liu C, Yücel M, Suo C, Le Pelley ME, Tiego J, Rotaru K, Fontenelle LF, Albertella L. Reward-Related Attentional Capture Moderates the Association between Fear-Driven Motives and Heavy Drinking. Eur Addict Res 2021; 27:351-361. [PMID: 33706304 DOI: 10.1159/000513470] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Accepted: 11/27/2020] [Indexed: 11/19/2022]
Abstract
BACKGROUND To date, there has been little investigation on how motivational and cognitive mechanisms interact to influence problematic drinking behaviours. Towards this aim, the current study examined whether reward-related attentional capture is associated with reward, fear (relief), and habit drinking motives, and further, whether it interacts with these motives in relation to problematic drinking patterns. METHODS Ninety participants (mean age = 34.8 years, SD = 9.1, 54% male) who reported having consumed alcohol in the past month completed an online visual search task that measured reward-related attentional capture as well as the Habit Reward Fear Scale, a measure of drinking motives. Participants also completed measures of psychological distress, impulsivity, compulsive drinking, and consumption items of Alcohol Use Disorders Identification Test. Regression analyses examined the associations between motives for alcohol consumption and reward-related attentional capture, as well as the associations between reward-related attentional capture, motives, and their interaction, with alcohol consumption and problems. RESULTS Greater reward-related attentional capture was associated with greater reward motives. Further, reward-related attentional capture also interacted with fear motives in relation to alcohol consumption. Follow-up analyses showed that this interaction was driven by greater fear motives being associated with heavier drinking among those with lower reward-related attentional capture (i.e., "goal-trackers"). CONCLUSION These findings have implications for understanding how cognition may interact with motives in association with problematic drinking. Specifically, the findings highlight different potential pathways to problematic drinking according to an individual's cognitive-motivational profile and may inform tailored interventions to target profile-specific mechanisms. Finally, these findings offer support for contemporary models of addiction that view excessive goal-directed behaviour under negative affect as a critical contributor to addictive behaviours.
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Affiliation(s)
- Chang Liu
- Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
| | - Murat Yücel
- Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
| | - Chao Suo
- Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
| | - Mike E Le Pelley
- School of Psychology, UNSW, Kensington, New South Wales, Australia
| | - Jeggan Tiego
- Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
| | - Kristian Rotaru
- Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Clayton, Victoria, Australia.,Monash Business School, Monash University, Caulfield, Victoria, Australia
| | - Leonardo F Fontenelle
- Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Clayton, Victoria, Australia, .,Institute of Psychiatry, Obsessive, Compulsive, and Anxiety Research Program, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil, .,D'Or Institute for Research and Education, Rio de Janeiro, Brazil,
| | - Lucy Albertella
- Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
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13
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Thompson SL, Gianessi CA, O'Malley SS, Cavallo DA, Shi JM, Tetrault JM, DeMartini KS, Gueorguieva R, Pittman B, Krystal JH, Taylor JR, Krishnan-Sarin S. Saracatinib Fails to Reduce Alcohol-Seeking and Consumption in Mice and Human Participants. Front Psychiatry 2021; 12:709559. [PMID: 34531767 PMCID: PMC8438169 DOI: 10.3389/fpsyt.2021.709559] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 08/03/2021] [Indexed: 11/13/2022] Open
Abstract
More effective treatments to reduce pathological alcohol drinking are needed. The glutamatergic system and the NMDA receptor (NMDAR), in particular, are implicated in behavioral and molecular consequences of chronic alcohol use, making the NMDAR a promising target for novel pharmacotherapeutics. Ethanol exposure upregulates Fyn, a protein tyrosine kinase that indirectly modulates NMDAR signaling by phosphorylating the NR2B subunit. The Src/Fyn kinase inhibitor saracatinib (AZD0530) reduces ethanol self-administration and enhances extinction of goal-directed ethanol-seeking in mice. However, less is known regarding how saracatinib affects habitual ethanol-seeking. Moreover, no prior studies have assessed the effects of Src/Fyn kinase inhibitors on alcohol-seeking or consumption in human participants. Here, we tested the effects of saracatinib on alcohol consumption and craving/seeking in two species, including the first trial of an Src/Fyn kinase inhibitor to reduce drinking in humans. Eighteen male C57BL/6NCrl mice underwent operant conditioning on a variable interval schedule to induce habitual responding for 10% ethanol/0.1% saccharin. Next, mice received 5 mg/kg saracatinib or vehicle 2 h or 30 min prior to contingency degradation to measure habitual responding. In the human study, 50 non-treatment seeking human participants who drank heavily and met DSM-IV criteria for alcohol abuse or dependence were randomized to receive 125 mg/day saracatinib (n = 33) or placebo (n = 17). Alcohol Drinking Paradigms (ADP) were completed in a controlled research setting: before and after 7-8 days of treatment. Each ADP involved consumption of a priming drink of alcohol (0.03 mg%) followed by ad libitum access (3 h) to 12 additional drinks (0.015 g%); the number of drinks consumed and craving (Alcohol Urge Questionnaire) were recorded. In mice, saracatinib did not affect habitual ethanol seeking or consumption at either time point. In human participants, no significant effects of saracatinib on alcohol craving or consumption were identified. These results in mice and humans suggest that Fyn kinase inhibition using saracatinib, at the doses tested here, may not reduce alcohol consumption or craving/seeking among those habitually consuming alcohol, in contrast to reports of positive effects of saracatinib in individuals that seek ethanol in a goal-directed manner. Nevertheless, future studies should confirm these negative findings using additional doses and schedules of saracatinib administration.
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Affiliation(s)
- Summer L Thompson
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - Carol A Gianessi
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States.,Interdepartmental Neuroscience Program, Yale University Graduate School of Arts and Sciences, New Haven, CT, United States
| | - Stephanie S O'Malley
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - Dana A Cavallo
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - Julia M Shi
- Program in Addiction Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, United States
| | - Jeanette M Tetrault
- Program in Addiction Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, United States
| | - Kelly S DeMartini
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - Ralitza Gueorguieva
- Department of Biostatistics, Yale University School of Public Health, New Haven, CT, United States
| | - Brian Pittman
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - John H Krystal
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States.,Department of Neuroscience, Yale University School of Medicine, New Haven, CT, United States
| | - Jane R Taylor
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States.,Department of Neuroscience, Yale University School of Medicine, New Haven, CT, United States.,Department of Psychology, Yale University, New Haven, CT, United States
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14
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Fontenelle LF, Oldenhof E, Eduarda Moreira-de-Oliveira M, Abramowitz JS, Antony MM, Cath D, Carter A, Dougherty D, Ferrão YA, Figee M, Harrison BJ, Hoexter M, Soo Kwon J, Küelz A, Lazaro L, Lochner C, Marazziti D, Mataix-Cols D, McKay D, Miguel EC, Morein-Zamir S, Moritz S, Nestadt G, O'Connor K, Pallanti S, Purdon C, Rauch S, Richter P, Rotge JY, Shavitt RG, Soriano-Mas C, Starcevic V, Stein DJ, Steketee G, Storch EA, Taylor S, van den Heuvel OA, Veale D, Woods DW, Verdejo-Garcia A, Yücel M. A transdiagnostic perspective of constructs underlying obsessive-compulsive and related disorders: An international Delphi consensus study. Aust N Z J Psychiatry 2020; 54:719-731. [PMID: 32364439 DOI: 10.1177/0004867420912327] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
BACKGROUND The Research Domain Criteria seeks to bridge knowledge from neuroscience with clinical practice by promoting research into valid neurocognitive phenotypes and dimensions, irrespective of symptoms and diagnoses as currently conceptualized. While the Research Domain Criteria offers a vision of future research and practice, its 39 functional constructs need refinement to better target new phenotyping efforts. This study aimed to determine which Research Domain Criteria constructs are most relevant to understanding obsessive-compulsive and related disorders, based on a consensus between experts in the field of obsessive-compulsive and related disorders. METHODS Based on a modified Delphi method, 46 experts were recruited from Australia, Africa, Asia, Europe and the Americas. Over three rounds, experts had the opportunity to review their opinion in light of feedback from the previous round, which included how their response compared to other experts and a summary of comments given. RESULTS Thirty-four experts completed round one, of whom 28 (82%) completed round two and 24 (71%) completed round three. At the final round, four constructs were endorsed by ⩾75% of experts as 'primary constructs' and therefore central to understanding obsessive-compulsive and related disorders. Of these constructs, one came from the Positive Valence System (Habit), two from the Cognitive Control System (Response Selection/Inhibition and Performance Monitoring) and the final construct was an additional item suggested by experts (Compulsivity). CONCLUSION This study identified four Research Domain Criteria constructs that, according to experts, cut across different obsessive-compulsive and related disorders. These constructs represent key areas for future investigation, and may have potential implications for clinical practice in terms of diagnostic processes and therapeutic management of obsessive-compulsive and related disorders.
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Affiliation(s)
- Leonardo F Fontenelle
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, VIC, Australia.,D'Or Institute for Research and Education, D'Or São Luiz Network, Rio de Janeiro, Brazil.,Obsessive, Compulsive, and Anxiety Spectrum Research Program, Institute of Psychiatry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Erin Oldenhof
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
| | - Maria Eduarda Moreira-de-Oliveira
- D'Or Institute for Research and Education, D'Or São Luiz Network, Rio de Janeiro, Brazil.,Obsessive, Compulsive, and Anxiety Spectrum Research Program, Institute of Psychiatry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Jonathan S Abramowitz
- Department of Psychology and Neuroscience, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Martin M Antony
- Department of Psychology, Ryerson University, Toronto, ON, Canada
| | - Danielle Cath
- RGOc and Department of Psychiatry, Rijksuniversity Groningen, UMC Groningen, Groningen, The Netherlands.,Department of Specialized Trainings, Mental Health Services Drenthe, Assen, The Netherlands
| | - Adrian Carter
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
| | - Darin Dougherty
- Division of Neurotherapeutics, Massachusetts General Hospital, Boston, MA, USA.,Obsessive-Compulsive Disorder Institute, McLean Hospital, Belmont, MA, USA.,Obsessive-Compulsive and Related Disorders Program, Massachusetts General Hospital, Boston, MA, USA.,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Ygor A Ferrão
- Department of Psychiatry, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, Brazil
| | - Martijn Figee
- Department of Psychiatry, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Ben J Harrison
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
| | - Marcelo Hoexter
- Department of Psychiatry, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Jun Soo Kwon
- Department of Psychiatry, College of Medicine, Seoul National University, Seoul, Korea
| | - Anne Küelz
- Department of Psychiatry and Psychotherapy, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Luísa Lazaro
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic of Barcelona, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Spain
| | - Christine Lochner
- SU/UCT MRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, Stellenbosch University, Stellenbosch, South Africa
| | - Donatella Marazziti
- Dipartimento di Medicina Clinica e Sperimentale, Section of Psychiatry, University of Pisa, Pisa, Italy
| | - David Mataix-Cols
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Dean McKay
- Department of Psychology, Fordham University, Bronx, NY, USA
| | - Euripedes C Miguel
- Department of Psychiatry, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Sharon Morein-Zamir
- School of Psychology and Sports Science, Anglia Ruskin University, Cambridge, UK
| | - Steffen Moritz
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Gerald Nestadt
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Kieron O'Connor
- Research Center of the Montreal University Institute of Mental Health, University of Montreal, Montreal, QC, Canada
| | - Stefano Pallanti
- Department of Psychiatry and Behavioral Sciences, Stanford University Medical Center, Stanford, CA, USA.,Institute of Neuroscience, University of Florence, Florence, Italy
| | - Christine Purdon
- Department of Psychology, University of Waterloo, Waterloo, ON, Canada
| | - Scott Rauch
- Obsessive-Compulsive Disorder Institute, McLean Hospital, Belmont, MA, USA.,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Peggy Richter
- Anxiety Disorders Centre, Sunnybrook Health Care Sciences, Toronto, Canada and Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Jean-Yves Rotge
- Inserm U 1127, CNRS UMR 7225, Department of Psychiatry, Institut du Cerveau et de la Moelle, ICM-A-IHU, Sorbonne Université, AP-HP, Paris, France
| | - Roseli G Shavitt
- Department of Psychiatry, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Carles Soriano-Mas
- Department of Psychiatry and Department of Psychobiology and Methodology of Health Sciences, Bellvitge Biomedical Research Institute-IDIBELL, Mental Health Networking Biomedical Research Centre (CIBERSAM) and Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Vladan Starcevic
- Department of Psychiatry, Nepean Hospital, Faculty of Medicine and Health, Sydney Medical School, Nepean Clinical School, The University of Sydney, Sydney, NSW, Australia
| | - Dan J Stein
- Department of Psychiatry and MRC Unit on Risk & Resilience in Mental Disorders, University of Cape Town, Cape Town, South Africa
| | - Gail Steketee
- School of Social Work, Boston University, Boston, USA
| | - Eric A Storch
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TC, USA
| | - Steven Taylor
- Department of Psychiatry, The University of British Columbia, Vancouver, BC, Canada
| | - Odile A van den Heuvel
- Department of Psychiatry and Department of Anatomy & Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.,Bergen Center for Brain Plasticity, Haukeland University Hospital, Bergen, Norway
| | - David Veale
- South London and Maudsley NHS Foundation Trust, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Douglas W Woods
- Department of Psychological and Brain Sciences, Texas A&M University, College Station, TX, USA.,Department of Psychology, Marquette University, Milwaukee, WI, USA
| | - Antonio Verdejo-Garcia
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
| | - Murat Yücel
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
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15
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Ray L, Du H, Grodin E, Bujarski S, Meredith L, Ho D, Nieto S, Wassum K. Capturing habitualness of drinking and smoking behavior in humans. Drug Alcohol Depend 2020; 207:107738. [PMID: 31816490 PMCID: PMC8063853 DOI: 10.1016/j.drugalcdep.2019.107738] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2019] [Revised: 10/13/2019] [Accepted: 11/13/2019] [Indexed: 01/05/2023]
Abstract
BACKGROUND Recent findings suggest that overreliance on habit may be common in individuals diagnosed with addiction. To advance our understanding of habit in clinical samples and from behavioral measures, this study examines the interrelations between self-reported habit index for smoking and drinking as well as behavioral measures of intraindividual variability in smoking and drinking. METHODS Treatment-seeking heavy drinking smokers (N = 416) completed the Self-Report Habit Index (SRHI) adapted for both smoking and drinking. "Behavioral habitualness" was computed from the degree of intraindividual variability in patterns of smoking and drinking over the past month. Using the 28-day Timeline-Follow Back (TLFB) interview, we derived two measures of intraindividual variability: interclass correlation (ICC) and autocorrelation [AR(7) coefficients]. RESULTS Self-report measures of habit were robustly associated with clinical severity of drinking and smoking with higher habit scores indicating greater severity of drinking and smoking, respectively. ICC and AR(7) coefficients, the behavioral measure of "patterness" and putative habit, were not associated with SRHI scores. While ICC for smoking was associated with higher nicotine dependence scores, this pattern was not found for drinking ICC and alcohol problem severity. CONCLUSIONS These results support the construct validity of the self-report measures of habit for smoking and drinking, as well an initial evaluation of behavioral measure of smoking "patterness" as a potential proxy for habit smoking. Because habit represents a complex phenotype with limited clinical translation, additional studies capturing a wider range of substance use severity and coupled with brain-based validation methods are warranted.
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Affiliation(s)
- Lara Ray
- University of California Los Angeles, Department of Psychology, Los Angeles, CA, USA,University of California, Los Angeles, Department of Psychiatry and Biobehavioral Sciences, Los Angeles, CA, USA,University of California Los Angeles, Brain Research Institute, Los Angeles, CA, USA
| | - Han Du
- University of California Los Angeles, Department of Psychology, Los Angeles, CA, USA
| | - Erica Grodin
- University of California Los Angeles, Department of Psychology, Los Angeles, CA, USA
| | - Spencer Bujarski
- University of California Los Angeles, Department of Psychology, Los Angeles, CA, USA
| | - Lindsay Meredith
- University of California Los Angeles, Department of Psychology, Los Angeles, CA, USA
| | - Diana Ho
- University of California Los Angeles, Department of Psychology, Los Angeles, CA, USA
| | - Steven Nieto
- University of California Los Angeles, Department of Psychology, Los Angeles, CA, USA
| | - Kate Wassum
- University of California Los Angeles, Department of Psychology, Los Angeles, CA, USA,University of California Los Angeles, Brain Research Institute, Los Angeles, CA, USA
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16
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Grodin EN, Bujarski S, Venegas A, Baskerville WA, Nieto SJ, Jentsch JD, Ray LA. Reward, Relief and Habit Drinking: Initial Validation of a Brief Assessment Tool. Alcohol Alcohol 2019; 54:574-583. [PMID: 31557278 PMCID: PMC7306183 DOI: 10.1093/alcalc/agz075] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 08/13/2019] [Accepted: 08/14/2019] [Indexed: 12/21/2022] Open
Abstract
AIMS Alcohol use disorder is highly heterogeneous. One approach to understanding this heterogeneity is the identification of drinker subtypes. A candidate classification consists of reward and relief subtypes. The current study examines a novel self-report measure of reward, relief, and habit drinking for its clinical correlates and subjective response (SR) to alcohol administration. METHODS Non-treatment-seeking heavy drinkers (n = 140) completed the brief reward, relief, habit drinking scale (RRHDS). A subset of this sample (n = 67) completed an intravenous alcohol administration. Individuals were classified into drinker subtypes. A crowdsourced sample of heavy drinkers (n = 187) completed the RRHDS and a validated reward relief drinking scale to compare drinking classification results. RESULTS The majority of the sample was classified as reward drinkers (n = 100), with fewer classified as relief (n = 19) and habit (n = 21) drinkers. Relief and habit drinkers reported greater tonic alcohol craving compared to reward drinkers. Reward drinkers endorsed drinking for enhancement, while relief drinkers endorsed drinking for coping. Regarding the alcohol administration, the groups differed in negative mood, such that relief/habit drinkers reported a decrease in negative mood during alcohol administration, compared to reward drinkers. The follow-up crowdsourcing study found a 62% agreement in reward drinker classification between measures and replicated the tonic craving findings. CONCLUSIONS Our findings suggest that reward drinkers are dissociable from relief/habit drinkers using the brief measure. However, relief and habit drinkers were not successfully differentiated, which suggests that these constructs may overlap phenotypically. Notably, measures of dysphoric mood were better at detecting group differences than measures capturing alcohol's rewarding effects.
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Affiliation(s)
- Erica N Grodin
- Department of Psychology, University of California 1285 Franz Hall, Box 951563 Los Angeles, CA 90095
- Department of Psychiatry and Biobehavioral Sciences University of California 760 Westwood Plaza Los Angeles, CA 90095
| | - Spencer Bujarski
- Department of Psychology, University of California 1285 Franz Hall, Box 951563 Los Angeles, CA 90095
| | - Alexandra Venegas
- Department of Psychology, University of California 1285 Franz Hall, Box 951563 Los Angeles, CA 90095
| | - Wave-Ananda Baskerville
- Department of Psychology, University of California 1285 Franz Hall, Box 951563 Los Angeles, CA 90095
| | - Steven J Nieto
- Department of Psychology, University of California 1285 Franz Hall, Box 951563 Los Angeles, CA 90095
| | - J David Jentsch
- Department of Psychology Binghamton University State University of New York PO Box 6000 Binghamton NY 13902
| | - Lara A Ray
- Department of Psychology, University of California 1285 Franz Hall, Box 951563 Los Angeles, CA 90095
- Department of Psychiatry and Biobehavioral Sciences University of California 760 Westwood Plaza Los Angeles, CA 90095
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