1
|
Love S, Rowland B, Armstrong K. Is cannabis a slippery slope? Associations between psychological dysfunctioning, other substance use, and impaired driving, in a sample of active cannabis users. PLoS One 2024; 19:e0310958. [PMID: 39383155 PMCID: PMC11463771 DOI: 10.1371/journal.pone.0310958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2024] [Accepted: 09/04/2024] [Indexed: 10/11/2024] Open
Abstract
Cannabis is a gateway drug that can lead to the engagement of other substances. Psychological dysfunctioning and dependence have been highlighted as primary components to substance misuse. The purpose of this study was to investigate what aspects of cannabis use and psychological dysfunctioning are associated with the engagement of other substances and impaired driving. Subject to screening, 200 active adult cannabis users completed an online survey. Existing data involving non-cannabis users (N = 833) were also implemented as comparative data. The comparisons suggested that cannabis users were far more likely to have used other drugs in the past 12 months, compared to non-cannabis users. Bivariate correlations and multiple regressions indicated that the degree of cannabis use and likely dependence, psycho-social motives for using cannabis, emotion dysregulation, and psychopathology were positively associated with the frequency of using and driving on other substances. Finally, an ANOVA demonstrated that outside of age, there were no apparent differences in substance use behaviours, motives for using cannabis, and psychological dysfunction, between medicinal and black-market cannabis users. These findings highlight the potential benefits of incorporating self-regulatory concepts into current road safety initiatives, which aim to reduce the interconnected issue of substance misuse and impaired driving behaviours.
Collapse
Affiliation(s)
- Steven Love
- MAIC/UniSC Road Safety Research Collaboration, University of the Sunshine Coast, Sippy Downs, Queensland, Australia
| | - Bevan Rowland
- MAIC/UniSC Road Safety Research Collaboration, University of the Sunshine Coast, Sippy Downs, Queensland, Australia
| | - Kerry Armstrong
- MAIC/UniSC Road Safety Research Collaboration, University of the Sunshine Coast, Sippy Downs, Queensland, Australia
| |
Collapse
|
2
|
Veerappa A, Guda C. Coordination among frequent genetic variants imparts substance use susceptibility and pathogenesis. Front Neurosci 2024; 18:1332419. [PMID: 38660223 PMCID: PMC11041639 DOI: 10.3389/fnins.2024.1332419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Accepted: 04/02/2024] [Indexed: 04/26/2024] Open
Abstract
Determining the key genetic variants is a crucial step to comprehensively understand substance use disorders (SUDs). In this study, utilizing whole exome sequences of five multi-generational pedigrees with SUDs, we used an integrative omics-based approach to uncover candidate genetic variants that impart susceptibility to SUDs and influence addition traits. We identified several SNPs and rare, protein-function altering variants in genes, GRIA3, NCOR1, and SHANK1; compound heterozygous variants in LNPEP, LRP1, and TBX2, that play a significant role in the neurotransmitter-neuropeptide axis, specifically in the dopaminergic circuits. We also noted a greater frequency of heterozygous and recessive variants in genes involved in the structural and functional integrity of synapse receptors, CHRNA4, CNR2, GABBR1, DRD4, NPAS4, ADH1B, ADH1C, OPRM1, and GABBR2. Variant analysis in upstream promoter regions revealed regulatory variants in NEK9, PRRX1, PRPF4B, CELA2A, RABGEF1, and CRBN, crucial for dopamine regulation. Using family-and pedigree-based data, we identified heterozygous recessive alleles in LNPEP, LRP1 (4 frameshift deletions), and TBX2 (2 frameshift deletions) linked to SUDs. GWAS overlap identified several SNPs associated with SUD susceptibility, including rs324420 and rs1229984. Furthermore, miRNA variant analysis revealed notable variants in mir-548 U and mir-532. Pathway studies identified the presence of extensive coordination among these genetic variants to impart substance use susceptibility and pathogenesis. This study identified variants that were found to be overrepresented among genes of dopaminergic circuits participating in the neurotransmitter-neuropeptide axis, suggesting pleiotropic influences in the development and sustenance of chronic substance use. The presence of a diverse set of haploinsufficient variants in varying frequencies demonstrates the existence of extraordinary coordination among them in attributing risk and modulating severity to SUDs.
Collapse
Affiliation(s)
- Avinash Veerappa
- Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, United States
| | - Chittibabu Guda
- Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, United States
- Center for Biomedical Informatics Research and Innovation, University of Nebraska Medical Center, Omaha, NE, United States
| |
Collapse
|
3
|
Villanueva-Blasco VJ, González Amado B, Colomo Magaña E, Puig-Perez S. Model of structural equations on the perception of aspects of school life and substance consumption as predictors of problem behavior in adolescents. Front Psychiatry 2024; 15:1386927. [PMID: 38596634 PMCID: PMC11002115 DOI: 10.3389/fpsyt.2024.1386927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Accepted: 03/11/2024] [Indexed: 04/11/2024] Open
Abstract
Introduction Problematic behavior and drug use are behaviors of social concern, especially in adolescence. There are school factors that can contribute to their development or prevent them. The objective was to establish explanatory models of the relationship between various school variables with the consumption of alcohol, tobacco and cannabis; determining its direct and/or indirect relationship with problematic behaviors. Materials and methods The study was cross-sectional with a sample of 346 students (Main Age=14.81; 54% women) from secondary education. Structural Equation Model (SEM) were carried to analyze the relationship between the dimensions of the Scale of perception of aspects of school life and alcohol, tobacco and cannabis consume with the presence of Problematic Behavior. Results Problem behavior was predicted by alcohol, tobacco and cannabis consume, and binge drinking. Different aspects of school life differentially predicted problem behavior and drug use. Sense of challenge was observed as having a reciprocal predictive relationship with problem behavior. Perception of oneself at school predicts both alcohol and tobacco use; while the value given to school predicts binge drinking. Discussion These findings suggests that, when addressing problem behavior and drug use that affect minors in school and have repercussions on class dynamics and academic outcomes, we should not focus exclusively on these problem areas, but rather take a more integrated approach that includes modifying different school-related aspects that act as risk factors for these types of problems.
Collapse
Affiliation(s)
- Víctor J. Villanueva-Blasco
- Faculty of Health Sciences, Valencian International University, Valencia, Spain
- Research Group on Health and Psycho-Social Adjustment (GI-SAPS), Valencian International University, Valencia, Spain
| | - Bárbara González Amado
- Faculty of Health Sciences, Valencian International University, Valencia, Spain
- Research Group on Health and Psycho-Social Adjustment (GI-SAPS), Valencian International University, Valencia, Spain
| | | | - Sara Puig-Perez
- Faculty of Health Sciences, Valencian International University, Valencia, Spain
- Research Group in Psychology and Quality of Life (PsiCal), Valencian International University, Valencia, Spain
| |
Collapse
|
4
|
Elam KK, Bountress KE, Ha T, Shaw DS, Wilson MN, Aliev F, Dick DM, Lemery-Chalfant K. Developmental genetic effects on externalizing behavior and alcohol use: Examination across two longitudinal samples. Dev Psychopathol 2024; 36:82-91. [PMID: 35983793 PMCID: PMC9938843 DOI: 10.1017/s0954579422000980] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Externalizing behavior in early adolescence is associated with alcohol use in adolescence and early adulthood and these behaviors often emerge as part of a developmental sequence. This pattern can be the result of heterotypic continuity, in which different behaviors emerge over time based on an underlying shared etiology. In particular, there is largely a shared genetic etiology underlying externalizing and substance use behaviors. We examined whether polygenic risk for alcohol use disorder predicted (1) externalizing behavior in early adolescence and alcohol use in adolescence in the Early Steps Multisite sample and (2) externalizing behavior in adolescence and alcohol use in early adulthood in the Project Alliance 1 (PAL1) sample. We examined associations separately for African Americans and European Americans. When examining European Americans in the Early Steps sample, greater polygenic risk was associated with externalizing behavior in early adolescence. In European Americans in PAL1, we found greater polygenic risk was associated with alcohol use in early adulthood. Effects were largely absent in African Americans in both samples. Results imply that genetic predisposition for alcohol use disorder may increase risk for externalizing and alcohol use as these behaviors emerge developmentally.
Collapse
Affiliation(s)
- Kit K. Elam
- Department of Applied Health Science, Indiana University, 1025 E. 7 St., Suite 116, Bloomington, IN 47405
| | - Kaitlin E. Bountress
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University
| | - Thao Ha
- Department of Psychology, Arizona State University
| | | | | | - Fazil Aliev
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School
| | - Danielle M. Dick
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School
| | | |
Collapse
|
5
|
Li W, Zhou H, Thygesen JH, Heydtmann M, Smith I, Degenhardt F, Nöthen M, Morgan MY, Kranzler HR, Gelernter J, Bass N, McQuillin A. Genome-wide association study of antisocial personality disorder diagnostic criteria provides evidence for shared risk factors across disorders. Psychiatr Genet 2023; 33:233-242. [PMID: 37756443 PMCID: PMC10635348 DOI: 10.1097/ypg.0000000000000352] [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: 06/29/2022] [Accepted: 06/19/2023] [Indexed: 09/29/2023]
Abstract
INTRODUCTION While progress has been made in determining the genetic basis of antisocial behaviour, little progress has been made for antisocial personality disorder (ASPD), a condition that often co-occurs with other psychiatric conditions including substance use disorders, attention deficit hyperactivity disorder (ADHD), and anxiety disorders. This study aims to improve the understanding of the genetic risk for ASPD and its relationship with other disorders and traits. METHODS We conducted a genome-wide association study (GWAS) of the number of ASPD diagnostic criteria data from 3217 alcohol-dependent participants recruited in the UK (UCL, N = 644) and the USA (Yale-Penn, N = 2573). RESULTS We identified rs9806493, a chromosome 15 variant, that showed a genome-wide significant association ( Z -score = -5.501, P = 3.77 × 10 -8 ) with ASPD criteria. rs9806493 is an eQTL for SLCO3A1 (Solute Carrier Organic Anion Transporter Family Member 3A1), a ubiquitously expressed gene with strong expression in brain regions that include the anterior cingulate and frontal cortices. Polygenic risk score analysis identified positive correlations between ASPD and smoking, ADHD, depression traits, and posttraumatic stress disorder. Negative correlations were observed between ASPD PRS and alcohol intake frequency, reproductive traits, and level of educational attainment. CONCLUSION This study provides evidence for an association between ASPD risk and SLCO3A1 and provides insight into the genetic architecture and pleiotropic associations of ASPD.
Collapse
Affiliation(s)
- Wenqianglong Li
- Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK
| | - Hang Zhou
- Department of Psychiatry, Yale School of Medicine, New Haven
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, USA
| | - Johan H. Thygesen
- Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK
- Institute of Health Informatics, University College London, London, UK
| | - Mathis Heydtmann
- Royal Alexandria Hospital, NHS Greater Glasgow and Clyde, Paisley, UK
- Department of Gastroenterology, Dumfries & Galloway Royal Infirmary, Cargenbridge, Dumfries, Scotland
| | - Iain Smith
- Substance misuse service, Mayfield Centre, St Ninians, Stirling, UK
| | - Franziska Degenhardt
- Department of Child and Adolescent Psychiatry, University of Duisburg-Essen, Essen
| | - Markus Nöthen
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Marsha Y. Morgan
- UCL Institute for Liver & Digestive Health, Division of Medicine, Royal Free Campus, University College London, London, UK
| | - Henry R. Kranzler
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine
- Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania
| | - Joel Gelernter
- Department of Psychiatry, Yale School of Medicine, New Haven
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, USA
- Departments of Genetics and Neuroscience, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Nicholas Bass
- Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK
| | - Andrew McQuillin
- Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK
| |
Collapse
|
6
|
Li H, Zhao D, Liu Y, Xv J, Huang H, Jin Y, Lu Y, Qi Y, Zhou Q. Are There Neural Overlaps of Reactivity to Illegal Drugs, Tobacco, and Alcohol Cues? With Evidence From ALE and CMA. Front Psychiatry 2022; 13:779239. [PMID: 35463497 PMCID: PMC9019580 DOI: 10.3389/fpsyt.2022.779239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Accepted: 03/07/2022] [Indexed: 11/13/2022] Open
Abstract
Abuses of most illegal drugs, including methamphetamine, marijuana, cocaine, heroin, and polydrug, are usually in conjunction with alcohol and tobacco. There are similarities and associations between the behavior, gene, and neurophysiology of such abusers, but the neural overlaps of their cue-reactivity and the correlation of neural overlap with drug craving still needs to be further explored. In this study, an Activation Likelihood Estimation (ALE) was performed on brain activation under legal (tobacco, alcohol) and illegal drug cues, for identifying the similarities in brain functions between different craving states. A Comprehensive meta-analysis (CMA) on the correlation coefficient between brain activation and craving scores in the selected literatures with subjective craving reports explained the degree of the craving via brain imaging results. In ALE, co-activation areas of the three cue-reactivity (posterior cingulate, caudate, and thalamus) suggest that the three cue-reactivity may all arouse drug-use identity which is a predictor of relapse and generation of conditioned reflexes under reward memory, thus leading to illegal drug relapses. In CMA, the brain activation was significantly correlated with subjective craving, with a correlation coefficient of 0.222. The neural overlap of tobacco, alcohol and most of the prevalent illegal drug cues not only further helps us understand the neural mechanism of substance co-abuse and relapse, but also provides implications to detoxification. Furthermore, the correlation between brain activation and craving is low, suggesting the accuracy of craving-based quantitative evaluation by neuroimaging remains unclear.
Collapse
Affiliation(s)
- HuiLing Li
- Department of Psychology, Wenzhou Medical University, Wenzhou, China
| | - Dong Zhao
- Department of Psychology, Wenzhou Medical University, Wenzhou, China
| | - YuQing Liu
- Department of Psychology, Wenzhou Medical University, Wenzhou, China
| | - JingWen Xv
- Department of Psychology, Wenzhou Medical University, Wenzhou, China
| | - HanZhi Huang
- Department of Psychology, Wenzhou Medical University, Wenzhou, China
| | - Yutong Jin
- Department of Psychology, Wenzhou Medical University, Wenzhou, China
| | - Yiying Lu
- Mental Health Education and Counseling Center, Lingnan Normal University, Zhanjiang, China
| | - YuanYuan Qi
- Zhejiang Moganshan Female Drug Detoxification Center, Huzhou, China
| | - Qiang Zhou
- Department of Psychology, Wenzhou Medical University, Wenzhou, China.,The Affiliated Kangning Hospital, Wenzhou Medical University, Wenzhou, China
| |
Collapse
|
7
|
Esparza-Reig J, Martí-Vilar M, Merino-Soto C, García-Casique A. Relationship between Prosocial Behaviours and Addiction Problems: A Systematic Review. Healthcare (Basel) 2021; 10:74. [PMID: 35052238 PMCID: PMC8774983 DOI: 10.3390/healthcare10010074] [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] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 12/12/2021] [Accepted: 12/13/2021] [Indexed: 12/03/2022] Open
Abstract
The relationship of addiction problems with other pathologies or with different problematic factors has often been studied by psychology. Positive psychology is also currently approaching to these problems and their relationship with positive factors, such as prosocial behaviours. The purpose of this research is to carry out a systematic review of the scientific literature that has studied this relationship from 1900 to 2020. After the screening process with the inclusion and exclusion criteria, a total of 15 articles were selected. The main characteristics found in this relationship and the problems or limitations of investigations that have found relationships other than the mainstream, which show a negative relationship between prosocial behaviours and addiction problems, are discussed.
Collapse
Affiliation(s)
- Javier Esparza-Reig
- Department of Basic Psychology, Faculty of Psychology and Speech Therapy, University of Valencia, 46800 Valencia, Spain;
| | - Manuel Martí-Vilar
- Department of Basic Psychology, Faculty of Psychology and Speech Therapy, University of Valencia, 46800 Valencia, Spain;
| | - César Merino-Soto
- Research Institute of Psychology, University of San Martín de Porres, Lima 15102, Peru
| | - Alfredo García-Casique
- Department of Psychology, Faculty of Psychology, Federico Villarreal National University, Lima 15088, Peru;
| |
Collapse
|
8
|
Elam KK, Mun CJ, Kutzner J, Ha T. Polygenic Risk for Aggression Predicts Adult Substance Use Disorder Diagnoses via Substance Use Offending in Emerging Adulthood and is Moderated by a Family-Centered Intervention. Behav Genet 2021; 51:607-618. [PMID: 34117582 PMCID: PMC8404142 DOI: 10.1007/s10519-021-10070-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 05/28/2021] [Indexed: 12/31/2022]
Abstract
A substance use offense reflects an encounter with law enforcement and the court system in response to breaking the law which may increase risk for substance use problems later in life. Individuals may also be at risk for substance use offending and substance use problems based on genetic predisposition. We examined a mediation model in which polygenic risk for aggression predicted adult substance use disorder diagnoses (SUD) via substance use offending in emerging adulthood. In addition, we explored for potential attenuation of genetic influences on these outcomes by a family-based intervention, the Family Check-Up (FCU). Secondary data analyses based upon the Project Alliance 1 sample was conducted among those with genetic data (n = 631; 322 from control and 309 from FCU intervention). The sample was ethnically diverse (30% African American, 44% European American, 6% Latinx, 4% Asian American, 3% Native American, and 13% Other). Greater polygenic risk for aggression was found to increase risk for substance use violations (age 19-23), which in turn was associated with greater likelihood of being diagnosed with SUD at age 27. A gene-by-intervention effect was found in which individuals in the control group had greater risk for SUD with increasing polygenic risk for aggression. Some convergence in results was found when replicating analyses in African American and European American subgroups. Results imply that genetic predisposition may increase risk for problematic substance use later in life via antisocial behavior, such as substance use offending, and that this can be attenuated by a family-centered intervention.
Collapse
Affiliation(s)
- Kit K Elam
- Department of Applied Health Science, Indiana University, 1025 E. 7th St., Suite 116, Bloomington, IN, 47405, USA.
| | - Chung Jung Mun
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, USA
- Edson College of Nursing and Health Innovation, Arizona State University, Tempe, USA
| | - Jodi Kutzner
- Department of Applied Health Science, Indiana University, 1025 E. 7th St., Suite 116, Bloomington, IN, 47405, USA
| | - Thao Ha
- Department of Psychology, Arizona State University, Tempe, USA
| |
Collapse
|
9
|
Krueger RF, Hobbs KA, Conway CC, Dick DM, Dretsch MN, Eaton NR, Forbes MK, Forbush KT, Keyes KM, Latzman RD, Michelini G, Patrick CJ, Sellbom M, Slade T, South S, Sunderland M, Tackett J, Waldman I, Waszczuk MA, Wright AG, Zald DH, Watson D, Kotov R. Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): II. Externalizing superspectrum. World Psychiatry 2021; 20:171-193. [PMID: 34002506 PMCID: PMC8129870 DOI: 10.1002/wps.20844] [Citation(s) in RCA: 122] [Impact Index Per Article: 30.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
The Hierarchical Taxonomy of Psychopathology (HiTOP) is an empirical effort to address limitations of traditional mental disorder diagnoses. These include arbitrary boundaries between disorder and normality, disorder co-occurrence in the modal case, heterogeneity of presentation within dis-orders, and instability of diagnosis within patients. This paper reviews the evidence on the validity and utility of the disinhibited externalizing and antagonistic externalizing spectra of HiTOP, which together constitute a broad externalizing superspectrum. These spectra are composed of elements subsumed within a variety of mental disorders described in recent DSM nosologies, including most notably substance use disorders and "Cluster B" personality disorders. The externalizing superspectrum ranges from normative levels of impulse control and self-assertion, to maladaptive disinhibition and antagonism, to extensive polysubstance involvement and personality psychopathology. A rich literature supports the validity of the externalizing superspectrum, and the disinhibited and antagonistic spectra. This evidence encompasses common genetic influences, environmental risk factors, childhood antecedents, cognitive abnormalities, neural alterations, and treatment response. The structure of these validators mirrors the structure of the phenotypic externalizing superspectrum, with some correlates more specific to disinhibited or antagonistic spectra, and others relevant to the entire externalizing superspectrum, underlining the hierarchical structure of the domain. Compared with traditional diagnostic categories, the externalizing superspectrum conceptualization shows improved utility, reliability, explanatory capacity, and clinical applicability. The externalizing superspectrum is one aspect of the general approach to psychopathology offered by HiTOP and can make diagnostic classification more useful in both research and the clinic.
Collapse
Affiliation(s)
| | - Kelsey A. Hobbs
- Department of PsychologyUniversity of MinnesotaMinneapolisMNUSA
| | | | - Danielle M. Dick
- Department of PsychologyVirginia Commonwealth UniversityRichmondVAUSA
| | - Michael N. Dretsch
- US Army Medical Research Directorate ‐ WestWalter Reed Army Institute of Research, Joint Base Lewis‐McChordWAUSA
| | | | - Miriam K. Forbes
- Centre for Emotional Health, Department of PsychologyMacquarie UniversitySydneyNSWAustralia
| | | | | | | | - Giorgia Michelini
- Semel Institute for Neuroscience and Human BehaviorUniversity of California Los AngelesLos AngelesCAUSA
| | | | - Martin Sellbom
- Department of PsychologyUniversity of OtagoDunedinNew Zealand
| | - Tim Slade
- Matilda Centre for Research in Mental Health and Substance UseUniversity of SydneySydneyNSWAustralia
| | - Susan C. South
- Department of Psychological SciencesPurdue UniversityWest LafayetteINUSA
| | - Matthew Sunderland
- Matilda Centre for Research in Mental Health and Substance UseUniversity of SydneySydneyNSWAustralia
| | | | - Irwin Waldman
- Department of PsychologyEmory UniversityAtlantaGAUSA
| | | | | | - David H. Zald
- Department of PsychologyVanderbilt UniversityNashvilleTNUSA
| | - David Watson
- Department of PsychologyUniversity of Notre DameNotre DameINUSA
| | - Roman Kotov
- Department of PsychiatryStony Brook UniversityStony BrookNYUSA
| | | |
Collapse
|
10
|
Mezquita L, Bravo AJ, Pilatti A, Ortet G, Ibáñez MI. Preliminary validity and reliability evidence of the Brief Antisocial Behavior Scale (B-ABS) in young adults from four countries. PLoS One 2021; 16:e0247528. [PMID: 33617586 PMCID: PMC7899364 DOI: 10.1371/journal.pone.0247528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 02/09/2021] [Indexed: 11/17/2022] Open
Abstract
The present research built on the Self-Reported Delinquency interview and the Antisocial Behavior Scale to develop an updated brief instrument to measure antisocial behavior. College students (n = 3188, 67.75% women) from the USA, Argentina, the Netherlands and Spain completed an online survey. Analyses that combined approaches from the Classical Test Theory and Item Response Theory were conducted to select the items for the brief version. Findings suggested that a 13-item Brief Antisocial Behavior Scale (B-ABS) fulfilled the high-quality criteria: salient factor loadings, adequate discrimination, variability in response endorsement, adequate fit based on infit/outfit values, nondifferent item functioning across the four participating countries, and Cronbach's alpha and ordinal omega coefficients higher than .70. The B-ABS scores generally significantly correlated with personality scores, mental health and marijuana outcomes, showing criterion-related validity evidence. Our overall findings suggest that B-ABS adequately assesses antisocial behavior in young adults from different countries/cultures.
Collapse
Affiliation(s)
- Laura Mezquita
- Department of Basic and Clinical Psychology and Psychobiology, Universitat Jaume I, Castellón de la Plana, Castellón, Spain
- Centre for Biomedical Research Network on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Castellón de la Plana, Castellón, Spain
| | - Adrian J. Bravo
- Department of Psychological Sciences, William & Mary, Williamsburg, Virginia, United States of America
| | - Angelina Pilatti
- Facultad de Psicología, Universidad Nacional de Córdoba, CIPSI Grupo Vinculado CIECS-UNC-CONICET, Córdoba, Córdoba, Argentina
| | - Generós Ortet
- Department of Basic and Clinical Psychology and Psychobiology, Universitat Jaume I, Castellón de la Plana, Castellón, Spain
- Centre for Biomedical Research Network on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Castellón de la Plana, Castellón, Spain
| | - Manuel I. Ibáñez
- Department of Basic and Clinical Psychology and Psychobiology, Universitat Jaume I, Castellón de la Plana, Castellón, Spain
- Centre for Biomedical Research Network on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Castellón de la Plana, Castellón, Spain
| | | |
Collapse
|
11
|
Salles J, Yrondi A, Marhar F, Andant N, Dorlhiac RA, Quach B, Jiao J, Antunes S, Ugbolue UC, Guegan J, Rouffiac K, Pereira B, Clinchamps M, Dutheil F. Changes in Cannabis Consumption During the Global COVID-19 Lockdown: The International COVISTRESS Study. Front Psychiatry 2021; 12:689634. [PMID: 34858218 PMCID: PMC8632365 DOI: 10.3389/fpsyt.2021.689634] [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: 04/01/2021] [Accepted: 10/18/2021] [Indexed: 12/31/2022] Open
Abstract
Introduction: COVID-19 lockdown measures have been sources of both potential stress and possible psychological and addiction complications. A lack of activity and isolation during lockdown are among the factors thought to be behind the growth in the use of psychoactive substances and worsening addictive behaviors. Previous studies on the pandemic have attested to an increase in alcohol consumption during lockdowns. Likewise, data suggest there has also been a rise in the use of cannabis, although it is unclear how this is affected by external factors. Our study used quantitative data collected from an international population to evaluate changes in cannabis consumption during the lockdown period between March and October, 2020. We also compared users and non-users of the drug in relation to: (1) socio-demographic differences, (2) emotional experiences, and (3) the information available and the degree of approval of lockdown measures. Methods: An online self-report questionnaire concerning the lockdown was widely disseminated around the globe. Data was collected on sociodemographics and how the rules imposed had influenced the use of cannabis and concerns about health, the economic impact of the measures and the approach taken by government(s). Results: One hundred eighty two respondents consumed cannabis before the lockdown vs. 199 thereafter. The mean cannabis consumption fell from 13 joints per week pre-lockdown to 9.75 after it (p < 0.001). Forty-nine respondents stopped using cannabis at all and 66 admitted to starting to do so. The cannabis users were: less satisfied with government measures; less worried about their health; more concerned about the impact of COVID-19 on the economy and their career; and more frightened of becoming infected in public areas. The risk factors for cannabis use were: age (OR = 0.96); concern for physical health (OR = 0.98); tobacco (OR = 1.1) and alcohol consumption during lockdown (OR = 1.1); the pre-lockdown anger level (OR = 1.01); and feelings of boredom during the restrictions (OR = 1.1). Conclusion: In a specific sub-population, the COVID-19 lockdown brought about either an end to the consumption of cannabis or new use of the drug. The main risk factors for cannabis use were: a lower age, co-addictions and high levels of emotions.
Collapse
Affiliation(s)
- Juliette Salles
- University Hospital of Toulouse, CHU Toulouse, Department of Psychiatry, Infinity (Toulouse Institute for Infectious and Inflammatory Diseases), INSERM UMR1291, CNRS UMR5051, Université Toulouse III, Toulouse, France
| | - Antoine Yrondi
- University Hospital of Toulouse, CHU Toulouse, Department of Psychiatry, Inserm Toulouse NeuroImaging Center, ToNIC, Toulouse, France
| | - Fouad Marhar
- Université Clermont Auvergne, CNRS, LaPSCo, Physiological and Psychosocial Stress F-63000 Clermont-Ferrand, France University Hospital of Toulouse, Department of Anaesthesiology and Critical Care, Toulouse, France
| | - Nicolas Andant
- University Hospital of Clermont-Ferrand, CHU Clermont-Ferrand, DRCI, Biostatistics Unit, Clermont-Ferrand, France
| | - Raimundo Avilés Dorlhiac
- Universidad Finis-Terrae, El-Carmen, Hospital Dr. Luis-Valentìn-Ferrada, Obstetrics and Gynecology, Maipù, Chile
| | - Binh Quach
- Sport and Physical Education, Hong Kong Baptist University, Hong Kong, Hong Kong SAR, China
| | - Jiao Jiao
- Sport and Physical Education, Hong Kong Baptist University, Hong Kong, Hong Kong SAR, China
| | - Samuel Antunes
- Ordem dos Psicólogos Portugueses, ISPA-Instituto Universitário, Lisbon, Portugal
| | - Ukadike Chris Ugbolue
- University of the West of Scotland, Institute for Clinical Exercise & Health Science, School of Health and Life Sciences, Glasgow, United Kingdom
| | - Julien Guegan
- Université Clermont Auvergne, CNRS, LaPSCo, Catech, Clermont-Ferrand, France
| | - Karine Rouffiac
- University Hospital of Clermont-Ferrand, CHU Clermont-Ferrand, Preventive and Occupational Medicine, Clermont-Ferrand, France
| | - Bruno Pereira
- University Hospital of Clermont-Ferrand, CHU Clermont-Ferrand, DRCI, Biostatistics Unit, Clermont-Ferrand, France
| | | | - Maëlys Clinchamps
- Université Clermont Auvergne, CNRS, LaPSCo, Physiological and Psychosocial Stress, University Hospital of Clermont-Ferrand, CHU Clermont-Ferrand, Preventive and Occupational Medicine, WittyFit, Clermont-Ferrand, France
| | - Frederic Dutheil
- Université Clermont Auvergne, CNRS, LaPSCo, Physiological and Psychosocial Stress, University Hospital of Clermont-Ferrand, CHU Clermont-Ferrand, Preventive and Occupational Medicine, WittyFit, Clermont-Ferrand, France
| |
Collapse
|
12
|
Du W, Chen X, Shi M, Bian F, Zhao Z. Ethanol affects behavior and HPA axis activity during development in zebrafish larvae. Sci Rep 2020; 10:21402. [PMID: 33293624 PMCID: PMC7722840 DOI: 10.1038/s41598-020-78573-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Accepted: 11/23/2020] [Indexed: 12/28/2022] Open
Abstract
Recent studies have shown that long-term alcohol intake from food can lead to numerous mental disorders in humans, and the social and health effects of excessive intake of alcohol currently represent serious problems for governments and families worldwide. However, to date, it has not been determined how alcohol affects the hypothalamic-pituitary-adrenal (HPA) axis. The zebrafish offers a good model for studying the toxicology of food-grade ethanol. In the present study, using zebrafish larvae exposed to 1% ethanol, we performed zebrafish behavioral analysis. Samples were collected for enzyme-linked immunosorbent assay (ELISA) and quantitative real time-polymerase chain reaction (qRT-PCR) experiments, and statistical analysis was performed. We found that ethanol decreased the locomotor activity of zebrafish larvae, which showed a more intense reaction to external stimuli. Ethanol also increased the level of HPA axis hormones in zebrafish larvae, influenced the level of neurotransmitters, and altered the expression of key genes in neurotransmitter metabolism. Ethanol exposure affects zebrafish behavior, increases the level of HPA axis hormones in zebrafish larvae, affects the level of neurotransmitters, and affects the expression of key genes in dopamine and serotonin metabolism. These findings may help to elucidate the effects of ethanol on HPA axis activity.
Collapse
Affiliation(s)
- Wenxiao Du
- College of Life Science, Yantai University, Laishan District Spring Road No. 30, Yantai, 264005, Shandong, People's Republic of China.
| | - Xiaoli Chen
- The Fruit Trees Work Station of Penglai, Penglai Dengzhou Road, No. 67, Yantai, 265600, Shandong, People's Republic of China
| | - Min Shi
- College of Life Science, Yantai University, Laishan District Spring Road No. 30, Yantai, 264005, Shandong, People's Republic of China
| | - Fuhua Bian
- College of Life Science, Yantai University, Laishan District Spring Road No. 30, Yantai, 264005, Shandong, People's Republic of China
| | - Zhenjun Zhao
- College of Life Science, Yantai University, Laishan District Spring Road No. 30, Yantai, 264005, Shandong, People's Republic of China.
| |
Collapse
|
13
|
Adolescent Externalizing Psychopathology and Its Prospective Relationship to Marijuana Use Development from Age 14 to 30: Replication Across Independent Longitudinal Twin Samples. Behav Genet 2020; 50:139-151. [PMID: 32036544 DOI: 10.1007/s10519-020-09994-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Accepted: 01/31/2020] [Indexed: 10/25/2022]
Abstract
Externalizing psychopathology in early adolescence is a highly heritable risk factor for drug use, yet how it relates to marijuana use development is not well-characterized. We evaluate this issue in independent twin samples from Colorado (N = 2608) and Minnesota (N = 3630), assessed from adolescence to early adulthood. We used a biometric latent growth model of marijuana use frequency with data from up to five waves of assessment from ages 14 to 30, to examine change in marijuana use and its relationship with a factor model of adolescent externalizing psychopathology. The factor structure of adolescent externalizing psychopathology was similar across samples, as was the association between that common factor and early marijuana use (Minnesota r = 0.67 [0.60, 0.75]; Colorado r = 0.69 [0.59, 0.78]), and increase in use (Minnesota r = 0.18 [0.10, 0.26]; Colorado r = 0.20 [0.07, 0.34]). Early use was moderately heritable in both samples (Minnesota h2 = 0.57 [0.37, 0.79]; Colorado h2 = 0.42 [0.14, 0.73]). Increase in use was highly heritable in Minnesota (h2 = 0.82 [0.72, 0.88]), less so in Colorado (h2 = 0.22 [0.01, 0.66]), and shared environmental effects were larger in Colorado (c2 = 0.55 [0.14, 0.83]) than Minnesota (c2 = 0 [0, 0.06]). We found moderate genetic correlations between externalizing psychopathology and early use in both samples. Finally, additional analyses in the Minnesota sample indicated that marijuana use decreased during the late 20s. This decline is strongly heritable (h2 = 0.73 [0.49, 0.91]) and moderately negatively correlated with adolescent externalizing psychopathology (r = - 0.41 [- 0.54, - 0.28]). Adolescent externalizing psychopathology is genetically correlated with change in late adolescent marijuana use (late teens, early 20s), as well as maintenance of use in early adulthood (late 20 s) even after controlling for the effects of early use.
Collapse
|
14
|
Tielbeek JJ, Boutwell BB. Exploring the Genomic Architectures of Health, Physical Traits and Antisocial Behavioral Outcomes: A Brief Report. Front Psychiatry 2020; 11:539. [PMID: 32670102 PMCID: PMC7330713 DOI: 10.3389/fpsyt.2020.00539] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 05/26/2020] [Indexed: 11/13/2022] Open
Abstract
A widely replicated finding across the behavioral sciences is that antisocial behaviors correlate with an array of health problems. Less clear, however, is the precise nature of this association. There is reason to suspect that a direct causal link exists between incarceration-a consequence of some antisocial behaviors-and certain negative health outcomes, for instance. However, it might be the case that broader phenotypes like antisocial behavior may correlate with certain health and physiological traits at a genomic level. We explore this possibility from a theoretical vantage point, while also presenting some preliminary data from existing secondary sources. Tentatively, no significant genetic correlations emerged across a host of health, physiological, and wellbeing outcomes after correction for multiple testing. However, more work is needed exploring this topic. We propose that future studies should make use of larger, more diverse samples and examine the genetic overlap between homogeneous clusters of antisocial behavioral subtypes and disease traits or symptoms.
Collapse
Affiliation(s)
- Jorim J Tielbeek
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Brian B Boutwell
- Department of Criminal Justice and Legal Studies, School of Applied Sciences, University of Mississippi, University, MS, United States.,John D. Bower School of Population Health, University of Mississippi Medical Center, Jackson, MS, United States
| |
Collapse
|
15
|
Abstract
PURPOSE OF REVIEW Personality disorders, mental disorders marked by long-term deviations from societal expectations that cause distress, and substance use and related disorders (SUDs), mental disorders marked by engaging with substances or behaviors that activate the brain's reward system to the point that normal activities are neglected, are common debilitating conditions. Personality disorders and SUDs are highly comorbid, potentially resistant to treatment, and their presence increases all-cause mortality, particularly when found together. RECENT FINDINGS The present review highlights the most notable findings on prevalence, comorbidity, biological and behavioral pathways between the disorders, impact on incarcerated people and treatment for the disorders. SUMMARY Personality disorders and SUDs are relatively common, highly comorbid, and increase the risk of all-cause mortality: particularly in those who have both conditions. Possible shared pathways between personality disorders and SUDs include emotional dysregulation, shared genes, and certain neurotransmitters. Personality disorders and SUDs are common in people who have been incarcerated, and this morbidity and comorbidity has been found throughout the world. Finally, comorbidity between personality disorders and SUDs greatly complicates treatment, with emerging treatment modalities such as mentalization-based treatment, schema modes, and attentional training showing potential, but lacking strong evidence of efficacy.
Collapse
|
16
|
|
17
|
Chang LH, Whitfield JB, Liu M, Medland SE, Hickie IB, Martin NG, Verhulst B, Heath AC, Madden PA, Statham DJ, Gillespie NA. Associations between polygenic risk for tobacco and alcohol use and liability to tobacco and alcohol use, and psychiatric disorders in an independent sample of 13,999 Australian adults. Drug Alcohol Depend 2019; 205:107704. [PMID: 31731259 DOI: 10.1016/j.drugalcdep.2019.107704] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2019] [Revised: 09/18/2019] [Accepted: 10/21/2019] [Indexed: 12/31/2022]
Abstract
BACKGROUND Substance use, substance use disorders (SUDs), and psychiatric disorders commonly co-occur. Genetic risk common to these complex traits is an important explanation; however, little is known about how polygenic risk for tobacco or alcohol use overlaps the genetic risk for the comorbid SUDs and psychiatric disorders. METHODS We constructed polygenic risk scores (PRSs) using GWAS meta-analysis summary statistics from a large discovery sample, GWAS & Sequencing Consortium of Alcohol and Nicotine use (GSCAN), for smoking initiation (SI; N = 631,564), age of initiating regular smoking (AI; N = 258,251), cigarettes per day (CPD; N = 258,999), smoking cessation (SC; N = 312,273), and drinks per week (DPW; N = 527,402). We then estimated the fixed effect of these PRSs on the liability to 15 phenotypes related to tobacco and alcohol use, substance use disorders, and psychiatric disorders in an independent target sample of Australian adults. RESULTS After adjusting for multiple testing, 10 of 75 combinations of discovery and target phenotypes remained significant. PRS-SI (R2 range: 1.98%-5.09 %) was positively associated with SI, DPW, and with DSM-IV and FTND nicotine dependence, and conduct disorder. PRS-AI (R2: 3.91 %) negatively associated with DPW. PRS-CPD (R2: 1.56 %-1.77 %) positively associated with DSM-IV nicotine dependence and conduct disorder. PRS-DPW (R2: 3.39 %-6.26 %) positively associated with only DPW. The variation of DPW was significantly influenced by sex*PRS-SI, sex*PRS-AI and sex*PRS-DPW. Such interaction effect was not detected in the other 14 phenotypes. CONCLUSIONS Polygenic risks associated with tobacco use are also associated with liability to alcohol consumption, nicotine dependence, and conduct disorder.
Collapse
Affiliation(s)
- Lun-Hsien Chang
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston QLD 4006, Australia; Faculty of Medicine, the University of Queensland, 20 Weightman St, Herston QLD 4006, Australia.
| | - John B Whitfield
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston QLD 4006, Australia.
| | - Mengzhen Liu
- Department of Psychology, University of Minnesota Twin Cities, 75 E River Rd, Minneapolis, MN 55455, USA.
| | - Sarah E Medland
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston QLD 4006, Australia.
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, 94 Mallett St, Camperdown NSW 2050, USA.
| | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston QLD 4006, Australia.
| | - Brad Verhulst
- Department of psychology, Michigan State University, 316 Physics Road #262, East Lansing, MI 48824, USA.
| | - Andrew C Heath
- Department of Psychiatry, Washington University School of Medicine, 660 S Euclid Ave, St. Louis, MO 63110, USA.
| | - Pamela A Madden
- Department of Psychiatry, Washington University School of Medicine, 660 S Euclid Ave, St. Louis, MO 63110, USA.
| | - Dixie J Statham
- School of Health and Life Sciences, Federation University, Federation University Australia, PO Box 663, Ballarat, VIC 3353, Australia.
| | - Nathan A Gillespie
- Virginia Institute for Psychiatric and Behavioural Genetics, Virginia Commonwealth University, Richmond, VA 23298, USA.
| | | |
Collapse
|
18
|
Fairchild G, Hawes DJ, Frick PJ, Copeland WE, Odgers CL, Franke B, Freitag CM, De Brito SA. Conduct disorder. Nat Rev Dis Primers 2019; 5:43. [PMID: 31249310 DOI: 10.1038/s41572-019-0095-y] [Citation(s) in RCA: 192] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/17/2019] [Indexed: 02/06/2023]
Abstract
Conduct disorder (CD) is a common and highly impairing psychiatric disorder that usually emerges in childhood or adolescence and is characterized by severe antisocial and aggressive behaviour. It frequently co-occurs with attention-deficit/hyperactivity disorder (ADHD) and often leads to antisocial personality disorder in adulthood. CD affects ~3% of school-aged children and is twice as prevalent in males than in females. This disorder can be subtyped according to age at onset (childhood-onset versus adolescent-onset) and the presence or absence of callous-unemotional traits (deficits in empathy and guilt). The aetiology of CD is complex, with contributions of both genetic and environmental risk factors and different forms of interplay among the two (gene-environment interaction and correlation). In addition, CD is associated with neurocognitive impairments; smaller grey matter volume in limbic regions such as the amygdala, insula and orbitofrontal cortex, and functional abnormalities in overlapping brain circuits responsible for emotion processing, emotion regulation and reinforcement-based decision-making have been reported. Lower hypothalamic-pituitary-adrenal axis and autonomic reactivity to stress has also been reported. Management of CD primarily involves parent-based or family-based psychosocial interventions, although stimulants and atypical antipsychotics are sometimes used, especially in individuals with comorbid ADHD.
Collapse
Affiliation(s)
| | - David J Hawes
- School of Psychology, University of Sydney, Sydney, New South Wales, Australia
| | - Paul J Frick
- Department of Psychology, Louisiana State University, Baton Rouge, LA, USA and Institute for Learning Science and Teacher Education, Australian Catholic University, Brisbane, Queensland, Australia
| | | | - Candice L Odgers
- Department of Psychological Science, School of Social Ecology, University of California, Irvine, CA, USA
| | - Barbara Franke
- Departments of Human Genetics and Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Christine M Freitag
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
| | - Stephane A De Brito
- School of Psychology and Centre for Human Brain Health, University of Birmingham, Birmingham, UK
| |
Collapse
|
19
|
Wills AG, Hopfer C. Phenotypic and genetic relationship between BMI and cigarette smoking in a sample of UK adults. Addict Behav 2019; 89:98-103. [PMID: 30286397 DOI: 10.1016/j.addbeh.2018.09.025] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Revised: 08/01/2018] [Accepted: 09/24/2018] [Indexed: 12/29/2022]
Abstract
In addition to the health hazards posed individually by cigarette smoking and obesity, the combination of these conditions poses a particular impairment to health. Genetic factors have been shown to influence both traits and, to understand the connection between these conditions, we examined both the observed and genetic relationship between adiposity (an electrical impedance measure of body mass index (BMI)) and cigarettes smoked per day (CPD) in a large sample of current, former, and never smokers in the United Kingdom. In former smokers, BMI was positively associated with cigarettes formerly smoked; further, the genetic factors related to a greater number of cigarettes smoked were also responsible for a higher BMI. In current smokers, there was a positive association between BMI and number of cigarettes smoked, though this relationship did not appear to be influenced by similar genetic factors. We found a positive genetic relationship between smoking in current/former smokers and BMI in never smokers (who would be unmarred by the effects of nicotine). In addition to CPD, in current smokers, we looked at two variables, time from waking to first cigarette and difficulty not smoking for a day, that may align better with cigarette and food 'craving.' However, these smoking measures provided mixed findings with respect to their relationship with BMI. Overall, the positive relationships between the genetic factors that influence CPD in smokers and the genetic factors that influence BMI in former and never smokers point to common biological influences behind smoking and obesity.
Collapse
Affiliation(s)
- Amanda G Wills
- Division of Substance Dependence, Department of Psychiatry, University of Colorado, Anschutz Medical Campus, Mail Stop F570, Building 500, 13001 East 17th Place, Aurora, CO 80045, USA; Institute for Behavioral Genetics, University of Colorado Boulder, 1480 30th Street, Boulder, CO 80301, USA.
| | - Christian Hopfer
- Division of Substance Dependence, Department of Psychiatry, University of Colorado, Anschutz Medical Campus, Mail Stop F570, Building 500, 13001 East 17th Place, Aurora, CO 80045, USA; Institute for Behavioral Genetics, University of Colorado Boulder, 1480 30th Street, Boulder, CO 80301, USA
| |
Collapse
|
20
|
Minică CC, Verweij KJ, van der Most PJ, Mbarek H, Bernard M, van Eijk KR, Lind PA, Liu M, Maciejewski DF, Palviainen T, Sánchez-Mora C, Sherva R, Taylor M, Walters RK, Abdellaoui A, Bigdeli TB, Branje SJ, Brown SA, Casas M, Corley RP, Smith GD, Davies GE, Ehli EA, Farrer L, Fedko IO, Garcia-Martínez I, Gordon SD, Hartman CA, Heath AC, Hickie IB, Hickman M, Hopfer CJ, Hottenga JJ, Kahn RS, Kaprio J, Korhonen T, Kranzler HR, Krauter K, van Lier PA, Madden PA, Medland SE, Neale MC, Meeus WH, Montgomery GW, Nolte IM, Oldehinkel AJ, Pausova Z, Ramos-Quiroga JA, Richarte V, Rose RJ, Shin J, Stallings MC, Wall TL, Ware JJ, Wright MJ, Zhao H, Koot HM, Paus T, Hewitt JK, Ribasés M, Loukola A, Boks MP, Snieder H, Munafò MR, Gelernter J, Boomsma DI, Martin NG, Gillespie NA, Vink JM, Derks EM. Genome-wide association meta-analysis of age at first cannabis use. Addiction 2018; 113:2073-2086. [PMID: 30003630 PMCID: PMC7087375 DOI: 10.1111/add.14368] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Revised: 01/26/2018] [Accepted: 06/11/2018] [Indexed: 12/31/2022]
Abstract
BACKGROUND AND AIMS Cannabis is one of the most commonly used substances among adolescents and young adults. Earlier age at cannabis initiation is linked to adverse life outcomes, including multi-substance use and dependence. This study estimated the heritability of age at first cannabis use and identified associations with genetic variants. METHODS A twin-based heritability analysis using 8055 twins from three cohorts was performed. We then carried out a genome-wide association meta-analysis of age at first cannabis use in a discovery sample of 24 953 individuals from nine European, North American and Australian cohorts, and a replication sample of 3735 individuals. RESULTS The twin-based heritability for age at first cannabis use was 38% [95% confidence interval (CI) = 19-60%]. Shared and unique environmental factors explained 39% (95% CI = 20-56%) and 22% (95% CI = 16-29%). The genome-wide association meta-analysis identified five single nucleotide polymorphisms (SNPs) on chromosome 16 within the calcium-transporting ATPase gene (ATP2C2) at P < 5E-08. All five SNPs are in high linkage disequilibrium (LD) (r2 > 0.8), with the strongest association at the intronic variant rs1574587 (P = 4.09E-09). Gene-based tests of association identified the ATP2C2 gene on 16q24.1 (P = 1.33e-06). Although the five SNPs and ATP2C2 did not replicate, ATP2C2 has been associated with cocaine dependence in a previous study. ATP2B2, which is a member of the same calcium signalling pathway, has been associated previously with opioid dependence. SNP-based heritability for age at first cannabis use was non-significant. CONCLUSION Age at cannabis initiation appears to be moderately heritable in western countries, and individual differences in onset can be explained by separate but correlated genetic liabilities. The significant association between age of initiation and ATP2C2 is consistent with the role of calcium signalling mechanisms in substance use disorders.
Collapse
Affiliation(s)
- Camelia C. Minică
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - Karin J.H. Verweij
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
- Behavioral Science Institute, Radboud University, Nijmegen, The Netherlands
| | - Peter J. van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Hamdi Mbarek
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - Manon Bernard
- Hospital for Sick Children Research Institute, Toronto, Canada
| | - Kristel R. van Eijk
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Penelope A. Lind
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Mengzhen Liu
- Institute for Behavioral Genetics, Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado, USA
| | - Dominique F. Maciejewski
- Vrije Universiteit Amsterdam, Department of Clinical Developmental Psychology, Amsterdam, The Netherlands
- GGZ inGeest and Department of Psychiatry, Amsterdam Public Health research institute, VU University Medical Center, Amsterdam, The Netherlands
| | - Teemu Palviainen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Cristina Sánchez-Mora
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d’Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
- Department of Psychiatry, Hospital Universitari Vall d’Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Richard Sherva
- Biomedical Genetics Department, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Michelle Taylor
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Raymond K. Walters
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Abdel Abdellaoui
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - Timothy B. Bigdeli
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Susan J.T. Branje
- Research Centre Adolescent Development, Utrecht University, Utrecht, the Netherlands
| | - Sandra A. Brown
- Department of Psychology and Psychiatry, University of California San Diego, La Jolla, California, USA
| | - Miguel Casas
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d’Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
- Department of Psychiatry, Hospital Universitari Vall d’Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Robin P. Corley
- Institute for Behavioral Genetics, Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado, USA
| | - George Davey Smith
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Gareth E. Davies
- Avera Institute for Human Genetics, Sioux Falls, South Dakota, USA
| | - Erik A. Ehli
- Avera Institute for Human Genetics, Sioux Falls, South Dakota, USA
| | - Lindsay Farrer
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, Massachusetts, USA
| | - Iryna O. Fedko
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - Iris Garcia-Martínez
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d’Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
- Department of Psychiatry, Hospital Universitari Vall d’Hebron, Barcelona, Spain
| | - Scott D. Gordon
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Catharina A. Hartman
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Andrew C. Heath
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri, USA
| | - Ian B. Hickie
- Brain & Mind Research Institute, University of Sydney, Sydney, NSW, Australia
| | - Matthew Hickman
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Christian J. Hopfer
- Department of Psychiatry, University of Colorado Denver, Aurora, Colorado, USA
| | - Jouke Jan Hottenga
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - René S. Kahn
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Tellervo Korhonen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- University of Eastern Finland, Institute of Public Health & Clinical Nutrition, Kuopio, Finland
| | - Henry R. Kranzler
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA
| | - Ken Krauter
- Department of Molecular, Cellular and Developmental Biology, University of Colorado Boulder, Boulder, Colorado, USA
| | - Pol A.C. van Lier
- Vrije Universiteit Amsterdam, Department of Clinical Developmental Psychology, Amsterdam, The Netherlands
- Department of Psychology, Education & Child Studies, Erasmus University Rotterdam, Rotterdam, the Netherlands
| | - Pamela A.F. Madden
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri, USA
| | - Sarah E. Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Michael C. Neale
- Department of Psychiatry and School of Medicine, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Wim H.J. Meeus
- Research Centre Adolescent Development, Utrecht University, Utrecht, the Netherlands
- Developmental Psychology, Tilburg University, Tilburg, The Netherlands
| | - Grant W. Montgomery
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Ilja M. Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Albertine J. Oldehinkel
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Zdenka Pausova
- Hospital for Sick Children Research Institute, Toronto, Canada
- Physiology and Nutritional Sciences, University of Toronto, Toronto, Canada
| | - Josep A. Ramos-Quiroga
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d’Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
- Department of Psychiatry, Hospital Universitari Vall d’Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Vanesa Richarte
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d’Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
- Department of Psychiatry, Hospital Universitari Vall d’Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Richard J. Rose
- Department of Psychological & Brain Sciences, Indiana University, Bloomington, Indiana, USA
| | - Jean Shin
- Hospital for Sick Children Research Institute, Toronto, Canada
| | - Michael C. Stallings
- Institute for Behavioral Genetics, Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado, USA
| | - Tamara L. Wall
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
| | - Jennifer J. Ware
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Margaret J. Wright
- Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Hongyu Zhao
- Department of Biostatistics, Yale School of Public Health & VA CT, New Haven, Connecticut, USA
| | - Hans M. Koot
- Vrije Universiteit Amsterdam, Department of Clinical Developmental Psychology, Amsterdam, The Netherlands
| | - Tomas Paus
- Rotman Research Institute, Baycrest, Toronto, Canada
- Psychology and Psychiatry, University of Toronto, Toronto, Canada
- Center for the Developing Brain, Child Mind Institute, New York, New York, USA
| | - John K. Hewitt
- Institute for Behavioral Genetics, Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado, USA
| | - Marta Ribasés
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d’Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
- Department of Psychiatry, Hospital Universitari Vall d’Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Anu Loukola
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Marco P. Boks
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Marcus R. Munafò
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- UK Centre for Tobacco and Alcohol Studies, School of Experimental Psychology, University of Bristol, Bristol, UK
| | - Joel Gelernter
- Psychiatry, Genetics, & Neuroscience, Yale University School of Medicine & VA CT, West Haven, Connecticut, USA
| | - Dorret I. Boomsma
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - Nicholas G. Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Nathan A. Gillespie
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Jacqueline M. Vink
- Behavioral Science Institute, Radboud University, Nijmegen, The Netherlands
| | - Eske M. Derks
- Department of Psychiatry, Academic Medical Centre, Amsterdam, The Netherlands
- Translational Neurogenomics group, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| |
Collapse
|