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Johnson EC, Lai D, Miller AP, Hatoum AS, Deak JD, Balbona JV, Baranger DA, Galimberti M, Sanichwankul K, Thorgeirsson T, Colbert SM, Sanchez-Roige S, Adhikari K, Docherty A, Degenhardt L, Edwards T, Fox L, Giannelis A, Jeffries P, Korhonen T, Morrison C, Nunez YZ, Palviainen T, Su MH, Villela PNR, Wetherill L, Willoughby EA, Zellers S, Bierut L, Buchwald J, Copeland W, Corley R, Friedman NP, Foroud TM, Gillespie NA, Gizer IR, Heath AC, Hickie IB, Kaprio JA, Keller MC, Lee JL, Lind PA, Madden PA, Maes HH, Martin NG, McGue M, Medland SE, Nelson EC, Pearson JV, Porjesz B, Stallings M, Vrieze S, Wilhelmsen KC, Walters RK, Polimanti R, Malison RT, Zhou H, Stefansson K, Potenza MN, Mutirangura A, Shotelersuk V, Kalayasiri R, Edenberg HJ, Gelernter J, Agrawal A. Multi-ancestral genome-wide association study of clinically defined nicotine dependence reveals strong genetic correlations with other substance use disorders and health-related traits. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2025:2025.01.29.25320962. [PMID: 39974067 PMCID: PMC11838619 DOI: 10.1101/2025.01.29.25320962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 02/21/2025]
Abstract
Genetic research on nicotine dependence has utilized multiple assessments that are in weak agreement. We conducted a genome-wide association study of nicotine dependence defined using the Diagnostic and Statistical Manual of Mental Disorders (DSM-NicDep) in 61,861 individuals (47,884 of European ancestry, 10,231 of African ancestry, 3,746 of East Asian ancestry) and compared the results to other nicotine-related phenotypes. We replicated the well-known association at the CHRNA5 locus (lead SNP: rs147144681, p =1.27E-11 in European ancestry; lead SNP = rs2036527, p = 6.49e-13 in cross-ancestry analysis). DSM-NicDep showed strong positive genetic correlations with cannabis use disorder, opioid use disorder, problematic alcohol use, lung cancer, material deprivation, and several psychiatric disorders, and negative correlations with respiratory function and educational attainment. A polygenic score of DSM-NicDep predicted DSM-5 tobacco use disorder and 6 of 11 individual diagnostic criteria, but none of the Fagerström Test for Nicotine Dependence (FTND) items, in the independent NESARC-III sample. In genomic structural equation models, DSM-NicDep loaded more strongly on a previously identified factor of general addiction liability than did a "problematic tobacco use" factor (a combination of cigarettes per day and nicotine dependence defined by the FTND). Finally, DSM-NicDep was strongly genetically correlated with a GWAS of tobacco use disorder as defined in electronic health records, suggesting that combining the wide availability of diagnostic EHR data with nuanced criterion-level analyses of DSM tobacco use disorder may produce new insights into the genetics of this disorder.
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Affiliation(s)
- Emma C Johnson
- Department of Psychiatry, Washington University School of Medicine in St Louis, Saint Louis, MO, USA
| | - Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Alex P Miller
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Alexander S Hatoum
- Department of Psychiatry, Washington University School of Medicine in St Louis, Saint Louis, MO, USA
| | - Joseph D Deak
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Jared V Balbona
- Department of Psychiatry, Washington University School of Medicine in St Louis, Saint Louis, MO, USA
| | - David Aa Baranger
- Department of Psychological and Brain Sciences, Washington University in St Louis, Saint Louis, MO, USA
| | - Marco Galimberti
- Department of Human Genetics, Yale University School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | | | | | - Sarah Mc Colbert
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sandra Sanchez-Roige
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
- Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Keyrun Adhikari
- Department of Human Genetics, Yale University School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Anna Docherty
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Louisa Degenhardt
- National Drug and Alcohol Research Centre, University of New South Wales, Sydney, Australia
| | - Tobias Edwards
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, USA
| | - Louis Fox
- Department of Psychiatry, Washington University School of Medicine in St Louis, Saint Louis, MO, USA
| | - Alexandros Giannelis
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, USA
| | - Paul Jeffries
- Department of Psychiatry, Washington University School of Medicine in St Louis, Saint Louis, MO, USA
| | - Tellervo Korhonen
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Claire Morrison
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Yaira Z Nunez
- Department of Human Genetics, Yale University School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Teemu Palviainen
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Mei-Hsin Su
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - Pamela N Romero Villela
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Leah Wetherill
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Emily A Willoughby
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, USA
| | - Stephanie Zellers
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Laura Bierut
- Department of Psychiatry, Washington University School of Medicine in St Louis, Saint Louis, MO, USA
| | - Jadwiga Buchwald
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - William Copeland
- Department of Psychiatry, College of Medicine, University of Vermont, Burlington, VT, USA
| | - Robin Corley
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Naomi P Friedman
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Tatiana M Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Nathan A Gillespie
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Ian R Gizer
- Department of Psychological Sciences, University of Missouri, Columbia, MO, USA
| | - Andrew C Heath
- Department of Psychiatry, Washington University School of Medicine in St Louis, Saint Louis, MO, USA
| | - Ian B Hickie
- Brain and Mind Institute, University of Sydney, New South Wales, Sydney, Australia
| | - Jaakko A Kaprio
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Matthew C Keller
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - James L Lee
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, USA
| | - Penelope A Lind
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- School of Biomedical Sciences, Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
- School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
| | - Pamela A Madden
- Department of Psychiatry, Washington University School of Medicine in St Louis, Saint Louis, MO, USA
| | - Hermine Hm Maes
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Nicholas G Martin
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Matt McGue
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, USA
| | - Sarah E Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- School of Psychology and Counselling, Queensland University of Technology, Brisbane, Australia
- School of Psychology, University of Queensland, Brisbane, Australia
| | - Elliot C Nelson
- Department of Psychiatry, Washington University School of Medicine in St Louis, Saint Louis, MO, USA
| | - John V Pearson
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Bernice Porjesz
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry, SUNY Downstate Health Science University, Brooklyn, NY, USA
| | - Michael Stallings
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Scott Vrieze
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, USA
| | - Kirk C Wilhelmsen
- Department of Neurology and Genetics and the Bowles Center of Alcohol Studies, University of North Carolina, Chapel Hill, NC, USA
- Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, USA
- Renaissance Computing Institute, Chapel Hill, NC, USA
| | - Raymond K Walters
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Renato Polimanti
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, USA
- Wu Tsai Institute, Yale University, New Haven, CT, USA
| | - Robert T Malison
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- The Clinical Neuroscience Research Unit, Connecticut Mental Health Center, New Haven, CT, USA
| | - Hang Zhou
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Kari Stefansson
- deCODE Genetics/Amgen, Sturlugata 8, IS-101, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, IS-101, Reykjavik, Iceland
| | - Marc N Potenza
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Wu Tsai Institute, Yale University, New Haven, CT, USA
- Child Study Center, Yale School of Medicine, New Haven, CT, USA
- Connecticut Council on Problem Gambling, Wethersfield, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Apiwat Mutirangura
- Department of Anatomy, Faculty of Medicine, Chulalongkorn University, King Chulalongkorn Memorial Hospital, Bangkok, Thailand
| | - Vorasuk Shotelersuk
- Center of Excellence for Medical Genomics, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Excellence Center for Genomics and Precision Medicine, King Chulalongkorn Memorial Hospital, the Thai Red Cross Society, Bangkok, Thailand
| | - Rasmon Kalayasiri
- Department of Psychiatry, Epidemiology of Psychiatric Disorders and Mental Health Research Unit, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Department of Psychiatry, King Chulalongkorn Memorial Hospital, Bangkok, Thailand
| | - Howard J Edenberg
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Joel Gelernter
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Human Genetics, Yale University School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine in St Louis, Saint Louis, MO, USA
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Wartberg L, Belau M, Arnaud N, Thomasius R. Problematic Consumption of Alcohol, Cannabis and Cigarettes—a German Nationwide Survey on Psychopathology, Stress, Mindfulness, and Quality of Life. DEUTSCHES ARZTEBLATT INTERNATIONAL 2024; 121:422-427. [PMID: 38657177 PMCID: PMC11465472 DOI: 10.3238/arztebl.m2024.0061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 03/21/2024] [Accepted: 03/21/2024] [Indexed: 04/26/2024]
Abstract
BACKGROUND Even among minors, the use of psychotropic substances is widespread in Europe. Data on the use of tobacco, alcohol and cannabis are regularly reported in Germany, but data on problematic use are lacking. In the present study, established screening instruments were used to investigate the prevalence of problematic use of cigarettes, alcohol and cannabis among children and adolescents. METHODS A survey that was designed to be representative was conducted across Germany in a sample of 4001 persons aged 12-17. The survey consisted of established screening instruments for problematic consumption patterns and related psychosocial aspects. Prevalences were estimated, and bivariate and multivariate associated characteristics were studied. RESULTS Among 12- to 17-year-olds in Germany, the prevalence values (with 95% confidence intervals) of problematic use were: for cigarettes, 0.5% [0.3; 0.7]; for alcohol, 11.3% [10.3; 12.3]; and for cannabis, 0.5% [0.3; 0.7]. For the problematic use of cigarettes, alcohol and cannabis, there were both bivariate and multivariate statistically significant associations with greater psychopathology, lower mindfulness, and a lower quality of life. For example, greater psychopathology and stress experience were both associated with an increased risk of problematic cannabis use (odds ratios 1.21 [1.11; 1.31] and 1.59 [1.33; 1.88]). CONCLUSION A comparison with the few available previous findings implies that problematic alcohol consumption has become more prevalent. There were both similarities and differences across the three substances studied with respect to patterns of problematic consumption, particularly in relation to the experience of stress.
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Affiliation(s)
- Lutz Wartberg
- Department Psychology, Faculty of Human Sciences, MSH Medical School Hamburg, Germany
| | - Matthias Belau
- Center for Experimental Medicine, Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Germany
| | - Nicolas Arnaud
- These two authors share last authorship
- German Center for Addiction Research in Childhood and Adolescence (DZSKJ), University Medical Center Hamburg-Eppendorf, Germany
| | - Rainer Thomasius
- These two authors share last authorship
- German Center for Addiction Research in Childhood and Adolescence (DZSKJ), University Medical Center Hamburg-Eppendorf, Germany
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Khan AU, Shah A, Majeed MT, Ahmad S. Predictors of quitting smoking behavior: evidence from Pakistan. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:30886-30901. [PMID: 38619768 DOI: 10.1007/s11356-024-32920-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 03/11/2024] [Indexed: 04/16/2024]
Abstract
This study attempts to identify factors that significantly encourage the cessation of smoking in the context of Pakistan. The study distributes a modified questionnaire among 421 respondents (current as well as former smokers) in the capital city of Pakistan, Islamabad. The binary regression method was employed to data for analyzing predictors of making quit attempts and successful smoking cessation. The result indicates that respondents having strong intentions to quit, high socioeconomic status, low nicotine dependency, and past quit attempts, and those having no-smoking friends, are more likely to quit cigarette smoking successfully. On the other hand, factors like social pressure to quit smoking, religious information against smoking, intention to quit smoking, and public regulation on smoking are more likely to encourage smokers to make quit attempts. The study calls for community and school-wide smoking cessation campaigns involving officials, peers and parents, religious leaders, and other influential individuals to inform people about the dangers of smoking. In addition, religious leaders should be encouraged to issue rulings against smoking especially during "Friday Prayer." Furthermore, the government should pronounce more strict and comprehensive regulations on smoking by properly monitoring its implementation to encourage cessation of cigarette smoking.
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Affiliation(s)
- Assad Ullah Khan
- School of Economics, Quaid-I-Azam University, Islamabad, Pakistan
| | - Anwar Shah
- School of Economics, Quaid-I-Azam University, Islamabad, Pakistan
| | | | - Sareer Ahmad
- School of Economics, Quaid-I-Azam University, Islamabad, Pakistan.
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Chen Y, Zhao M, Ji K, Li J, Wang S, Lu L, Chen Z, Zeng J. Association of nicotine dependence and gut microbiota: a bidirectional two-sample Mendelian randomization study. Front Immunol 2023; 14:1244272. [PMID: 38022531 PMCID: PMC10664251 DOI: 10.3389/fimmu.2023.1244272] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 10/23/2023] [Indexed: 12/01/2023] Open
Abstract
Background Nicotine dependence is a key factor influencing the diversity of gut microbiota, and targeting gut microbiota may become a new approach for the prevention and treatment of nicotine dependence. However, the causal relationship between the two is still unclear. This study aims to investigate the causal relationship between nicotine dependence and gut microbiota. Methods A two-sample bidirectional Mendelian randomization (MR) study was conducted using the largest existing gut microbiota and nicotine dependence genome-wide association studies (GWAS). Causal relationships between genetically predicted nicotine dependence and gut microbiota abundance were examined using inverse variance weighted, MR-Egger, weighted median, simple mode, weighted mode, and MR-PRESSO approaches. Cochrane's Q test, MR-Egger intercept test, and leave-one-out analysis were performed as sensitivity analyses to assess the robustness of the results. Multivariable Mendelian randomization analysis was also conducted to eliminate the interference of smoking-related phenotypes. Reverse Mendelian randomization analysis was then performed to determine the causal relationship between genetically predicted gut microbiota abundance and nicotine dependence. Results Genetically predicted nicotine dependence had a causal effect on Christensenellaceae (β: -0.52, 95% CI: -0.934-0.106, P = 0.014). The Eubacterium xylanophilum group (OR: 1.106, 95% CI: 1.004-1.218), Lachnoclostridium (OR: 1.118, 95% CI: 1.001-1.249) and Holdemania (OR: 1.08, 95% CI: 1.001-1.167) were risk factors for nicotine dependence. Peptostreptococcaceae (OR: 0.905, 95% CI: 0.837-0.977), Desulfovibrio (OR: 0.014, 95% CI: 0.819-0.977), Dorea (OR: 0.841, 95% CI. 0.731-0.968), Faecalibacterium (OR: 0.831, 95% CI: 0.735-0.939) and Sutterella (OR: 0.838, 95% CI: 0.739-0.951) were protective factor for nicotine dependence. The sensitivity analysis showed consistent results. Conclusion The Mendelian randomization study confirmed the causal link between genetically predicted risk of nicotine dependence and genetically predicted abundance of gut microbiota. Gut microbiota may serve as a biomarker and offer insights for addressing nicotine dependence.
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Affiliation(s)
- Yuexuan Chen
- The First Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Mengjiao Zhao
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Kaisong Ji
- The First Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Jingjing Li
- Department of Acupuncture, Baoan District Hospital of Traditional Chinese Medicine, Shenzhen, China
| | - Shuxin Wang
- Department of Acupuncture, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Liming Lu
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Zhenhu Chen
- Department of Acupuncture, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Jingchun Zeng
- Department of Acupuncture, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
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5
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Mouro Ferraz Lima T, Castaldelli-Maia JM, Apter G, Leopoldo K. Neurobiological associations between smoking and internalizing disorders. Int Rev Psychiatry 2023; 35:486-495. [PMID: 38299645 DOI: 10.1080/09540261.2023.2252907] [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: 07/05/2023] [Accepted: 08/24/2023] [Indexed: 02/02/2024]
Abstract
People with severe mental disorders have a higher mortality rate due to preventable conditions like cardiovascular diseases and respiratory diseases. Nicotine addiction is a preventable risk factor, with tobacco use being twice as high in people with mental disorders. An integrative model that divides mental disorders into externalising, internalising, and thought disorders could be useful for identifying common causalities and risk factors. This review aims to examine the interface between smoking and internalising disorders, specifically schizophrenia, depressive disorders, and anxiety disorders. The review finds that there is a clear association between smoking behaviour and these disorders. Schizophrenia is associated with polymorphisms that result in an imbalance between glutamate and GABA release and abnormalities of dopaminergic pathways. Nicotine improves dopaminergic signalling and balances glutamatergic and GABAergic pathways, improving symptoms and increasing the risk of nicotine dependence. In depressive disorders, smoking is associated with functional changes in brain regions affected by smoking and self-medication. In anxiety disorders, there is a bidirectional relationship with smoking, involving the amygdala and changes in dopaminergic pathways and cortisol production. Smoking poses a threat to people living with psychiatric disorders and calls for further research to assess the interactions between nicotine dependence and internalising and thought disorders.
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Affiliation(s)
| | - João Mauricio Castaldelli-Maia
- Department of Neuroscience, Medical School, FMABC University Center
- Cellule de Recherche Clinique, Groupe Hospitalier du Havre, Le Havre, France
- Department of Psychiatry, Medical School, University of São Paulo, Brazil
| | - Gisèle Apter
- Societé de l'Information Psychiatrique, France
- University of Rouen Normandy, France
| | - Kae Leopoldo
- Department of Psychiatry, Medical School, University of São Paulo, Brazil
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Kim MM, Curtin GM. Assessing the Evidence on the Differential Impact of Menthol versus Non-menthol Cigarette Use on Smoking Dependence in the US Population: A Systematic Review and Meta-analysis. Am J Health Behav 2022; 46:376-422. [PMID: 36109861 DOI: 10.5993/ajhb.46.4.3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Background: Menthol's effect on cigarette smoking behaviors is an intensely scrutinized US public health issue. This systematic review and meta-analysis examined the question: Does menthol cigarette use have a differential impact on smoking dependence compared with non-menthol cigarette use? Methods: We consulted 6 databases from inception to October 15, 2021. We included articles comparing menthol versus non-menthol cigarette smokers against predefined smoking dependence outcomes. Risk of bias was assessed using the AHRQ Evidence-Based Practice Center approach. We applied a random-effects model to pool adjusted odds ratios. Results: We synthesized 37 demographically adjusted studies. Meta-analytic results suggested non-menthol smokers were equally/more likely to report daily versus non-daily smoking; menthol use was associated with needing a cigarette within one hour; cigarettes per day was not associated with menthol use; menthol use was associated with a low (vs high) Heaviness of Smoking Index score; and results were either non-significant or associated menthol use with lower TTFC. Conclusions: Despite consistently good or fair quality adjusted studies across several measures, results were discordant depending on measures used and means of measurement. Overall, the evidence is insufficient to draw clear conclusions on a differential association between menthol (vs non-menthol) cigarette use and smoking dependence.
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Affiliation(s)
- Mimi M Kim
- Mimi M. Kim, Senior Director, Scientific & Regulatory Affairs, RAI Services Company, Winston-Salem NC, United States;,
| | - Geoffrey M Curtin
- Geoffrey M. Curtin, retired employee, RAI Services Company, Winston-Salem, NC, United States
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Rauschert C, Möckl J, Seitz NN, Wilms N, Olderbak S, Kraus L. The Use of Psychoactive Substances in Germany. DEUTSCHES ARZTEBLATT INTERNATIONAL 2022; 119:527-534. [PMID: 35791270 PMCID: PMC9677535 DOI: 10.3238/arztebl.m2022.0244] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 04/01/2022] [Accepted: 06/01/2022] [Indexed: 01/04/2023]
Abstract
BACKGROUND Monitoring the use of psychoactive substances and substance-related problems in the population allows for the assessment of prevalence and associated health and social consequences. METHODS The data are derived from the Epidemiological Survey of Substance Abuse (ESA) 2021 (n = 9046, 18-64 years). We estimated prevalence rates of the use of tobacco, alcohol, illegal drugs, and psychoactive medications, as well as the prevalence rates of their problematic use (indicating dependence) using screening instruments, and extrapolated the results to the resident population (N = 51 139 451). RESULTS Alcohol was the most frequently used substance, with a 30-day prevalence of 70.5% (36.1 million people), followed by non-opioid analgesic drugs (47.4%; 24.2 million) and conventional tobacco products (22.7%; 11.6 million). E-cigarettes were used by 4.3% (2.2 million) and heat-not-burn products by 1.3% (665 000). Among illegal drugs (12-month prevalence), cannabis was the most frequently used (8.8%; 4.5 million), followed by cocaine/crack (1.6%; 818 000) and amphetamine (1.4%; 716 000). Rates of problematic use among the study participants were 17.6% for alcohol (9.0 million), 7.8% for tobacco (4.0 million), 5.7% for psychoactive medications (2.9 million), and 2.5% for cannabis (1.3 million). CONCLUSION The consumption of psychoactive substances continues to be widespread in Germany. In view of the imminent legal changes, the high prevalence of cannabis use and its problematic use need to be taken into consideration.
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Affiliation(s)
- Christian Rauschert
- IFT Institut für Therapieforschung, Munich,*IFT Institut für Therapieforschung Leopoldstraße 175 80804 München, Germany
| | | | | | | | - Sally Olderbak
- IFT Institut für Therapieforschung, Munich,Psychology Department, University of Arizona, Tucson, USA
| | - Ludwig Kraus
- IFT Institut für Therapieforschung, Munich,Department of Public Health Sciences, Stockholm University, Stockholm, Sweden,Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary
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8
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Lape EC, LaRowe LR, Zale EL, Gellis LA, Park A, Ditre JW. Tobacco cigarette smokers who endorse greater intolerance for nicotine withdrawal also report more severe insomnia symptoms. Exp Clin Psychopharmacol 2022; 30:269-278. [PMID: 33630648 PMCID: PMC8396043 DOI: 10.1037/pha0000440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
It has been suggested that nighttime nicotine withdrawal may help to explain why tobacco cigarette smokers are more likely than nonsmokers to experience clinically significant insomnia. There is also reason to believe that intolerance for withdrawal symptoms could play a role in withdrawal-related sleep disturbance. However, we are not aware of any previous research that examined whether smokers who endorse greater intolerance for smoking abstinence also report greater difficulty initiating and/or maintaining sleep. To address this question, 224 adult cigarette smokers (42.9% female, Mcigarettes per day = 21.3) completed the baseline portion of an experimental study that included assessment of current/historical smoking behavior, perceived intolerance for smoking abstinence, and insomnia severity and impact on functioning. The results indicated that, after accounting for general distress intolerance and sociodemographic factors, smokers who endorsed greater intolerance for nicotine withdrawal also reported greater insomnia severity and impact. Logistic regression further revealed that, for every 1-point increase in nicotine withdrawal intolerance scores, smokers were nearly twice as likely to score above threshold for clinically significant insomnia (p = .001). Collectively, these initial findings suggest that intolerance for nicotine withdrawal may warrant consideration as a potentially modifiable mechanistic factor in comorbid insomnia and nicotine/tobacco dependence. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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Affiliation(s)
| | | | | | | | - Aesoon Park
- Department of Psychology, Syracuse University
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9
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Validity of the DSM-5 tobacco use disorder diagnostics in adults with problematic substance use. Drug Alcohol Depend 2022; 234:109411. [PMID: 35338898 PMCID: PMC9035622 DOI: 10.1016/j.drugalcdep.2022.109411] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 03/10/2022] [Accepted: 03/11/2022] [Indexed: 11/23/2022]
Abstract
BACKGROUND DSM-5 tobacco use disorder (TUD) nosology differs from DSM-IV nicotine dependence (ND) by including craving and DSM-IV abuse criteria, a lower threshold (≥ 2 criteria), and severity levels (mild; moderate; severe). We assessed concurrent and prospective validity of the DSM-5 TUD diagnosis and severity and compared validity with DSM-IV ND diagnosis. METHODS The sample included U.S. adults with current problematic substance use and past year cigarette smoking (N = 396). Baseline assessment collected information on DSM-IV ND and DSM-5 TUD criteria, smoking-related variables, and psychopathology. Over the following 90 days, electronic daily assessments queried smoking and cigarette craving. Variables expected to be related to TUD were validators: cigarette consumption, cigarette craving scale, Fagerström Test for Nicotine Dependence, and psychiatric disorders. Regression models estimated the association of each validator with DSM-5 TUD and severity levels, and differential association between DSM-5 TUD and DSM-IV ND diagnoses. RESULTS DSM-5 TUD and DSM-IV ND were associated with most baseline validators (p-values < 0.05), with significantly stronger associations with DSM-5 TUD for number of days smoked (p = 0.023) and cigarette craving scale (p = 0.007). Baseline DSM-5 TUD and DSM-IV ND predicted smoking and craving on any given day during follow-up, with stronger associations for DSM-5 TUD (association difference [95% CI%]: any smoking, 0.53 [0.27, 0.77]; number of cigarettes smoked, 1.36 [0.89, 1.78]; craving scale, 0.19 [0.09, 0.28]). Validators were associated with TUD severity in a dose-dependent manner. CONCLUSION DSM-5 TUD diagnostic measures as operationalized here demonstrated concurrent and prospective validity. Inclusion of new criteria, particularly craving, improved validity and clinical relevance.
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10
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“Quit Cold Turkey”: Effects of a Quit-and-Win Smoking Cessation Challenge Offered at Christmas on Abstinence, Daily Cigarette Intake, and Cravings. Int J Ment Health Addict 2022. [DOI: 10.1007/s11469-022-00780-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
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11
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Timakum T, Xie Q, Song M. Analysis of E-mental health research: mapping the relationship between information technology and mental healthcare. BMC Psychiatry 2022; 22:57. [PMID: 35078432 PMCID: PMC8787445 DOI: 10.1186/s12888-022-03713-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 01/14/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND E-mental healthcare is the convergence of digital technologies with mental health services. It has been developed to fill a gap in healthcare for people who need mental wellbeing support that may not otherwise receive psychological treatment. With an increasing number of e-mental healthcare and research, this study aimed to investigate the trends of an e-mental health research field that integrates interdisciplinary fields and to examine the information technologies is being used in mental healthcare. To achieve the research objectives, bibliometric analysis, information extraction, and network analysis were applied to analyze e-mental health research data. METHODS E-mental health research data were obtained from 3663 bibliographic records from the Web of Science (WoS) and 3172 full-text articles from PubMed Central (PMC). The text mining techniques used for this study included bibliometric analysis, information extraction, and visualization. RESULTS The e-mental health research topic trends primarily involved e-health care services and medical informatics research. The clusters of research comprised 16 clusters, which refer to mental sickness, e-health, diseases, information technology (IT), and self-management. The information extraction analysis revealed a triple relation with IT and biomedical domains. Betweenness centrality was used as a measure of network graph centrality, based on the shortest path to rank the important entities and triple relation; nodes with higher betweenness centrality had greater control over the network because more information passes through that node. The IT entity-relations of "mobile" had the highest score at 0.043466. The top pairs were related to depression, mobile health, and text message. CONCLUSIONS E-mental related publications were associated with various research fields, such as nursing, psychology, medical informatics, computer science, telecommunication, and healthcare innovation. We found that trends in e-mental health research are continually rising. These trends were related to the internet of things (IoT) and mobile applications (Apps), which were applied for mental healthcare services. Moreover, producing AI and machine learning for e-mental healthcare were being studied. This work supports the appropriate approaches and methods of e-mental health research that can help the researcher to identify important themes and choose the best fit with their own survey work.
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Affiliation(s)
- Tatsawan Timakum
- grid.440397.d0000 0001 0516 2525Department of Information Sciences, Chiang Mai Rajabhat University, Chiang Mai, Thailand
| | - Qing Xie
- grid.464445.30000 0004 1790 3863School of Management, Shenzhen Polytechnic, Shenzhen, Guangdong China
| | - Min Song
- Department of Library and Information Science, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-749, Republic of Korea.
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12
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Sharma MK, Suman LN, Srivastava K, Suma N, Vishwakarma A. Psychometric properties of Fagerstrom Test of Nicotine Dependence: A systematic review. Ind Psychiatry J 2021; 30:207-216. [PMID: 35017802 PMCID: PMC8709504 DOI: 10.4103/ipj.ipj_51_21] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 05/24/2021] [Accepted: 06/01/2021] [Indexed: 11/25/2022] Open
Abstract
The Fagerstrom test for nicotine dependence (FTND) is a widely used test for assessing physical nicotine dependence. However, there is a need to assess the psychometric properties of FTND to assess its role in treatment outcome studies. The aim of the present investigation was to review the psychometric properties of the FTND. A broad systematic literature search was performed from Pubmed and PsycINFO from 2000 to 2019. The publication language was limited to English. Two review authors performed the study selection and extracted the data. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and the Rayyan software used to screen relevant studies. A total of 1471 articles retrieved from the search, of which 33 studies fulfilled the inclusion criteria. Eleven studies related to testing the reliability of the FTND were analyzed. Twenty-five studies evaluated the Cronbach alpha of the test. Analysis of the studies revealed the questionable psychometric qualities of the adapted versions of the test across different cultures and ethnicity. It also suggested that it may not tap the appropriate constructs that would predict smoking patterns in light smokers, e-cigarette smokers, and smokeless tobacco users. Thus, further research must focus on improving the psychometric properties of FTND to enhance the measurement of nicotine dependence.
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Affiliation(s)
- Manoj Kumar Sharma
- SHUT Clinic (Service for Healthy Use of Technology), Department of Clinical Psychology, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - L N Suman
- Department of Clinical Psychology,National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Kalpana Srivastava
- Department of Psychiatry, Defence Research and Development Service, Armed Forces Medical College, Pune, Maharashtra, India
| | - N Suma
- Department of Clinical Psychology,National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Akash Vishwakarma
- Department of Clinical Psychology,National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
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13
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Fisher ML, Pauly JR, Froeliger B, Turner JR. Translational Research in Nicotine Addiction. Cold Spring Harb Perspect Med 2021; 11:cshperspect.a039776. [PMID: 32513669 DOI: 10.1101/cshperspect.a039776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
While commendable strides have been made in reducing smoking initiation and improving smoking cessation rates, current available smoking cessation treatment options are still only mildly efficacious and show substantial interindividual variability in their therapeutic responses. Therefore, the primary goal of preclinical research has been to further the understanding of the neural substrates and genetic influences involved in nicotine's effects and reassess potential drug targets. Pronounced advances have been made by investing in new translational approaches and placing more emphasis on bridging the gap between human and rodent models of dependence. Functional neuroimaging studies have identified key brain structures involved with nicotine-dependence phenotypes such as craving, impulsivity, withdrawal symptoms, and smoking cessation outcomes. Following up with these findings, rodent-modeling techniques have made it possible to dissect the neural circuits involved in these motivated behaviors and ascertain mechanisms underlying nicotine's interactive effects on brain structure and function. Likewise, translational studies investigating single-nucleotide polymorphisms (SNPs) within the cholinergic, dopaminergic, and opioid systems have found high levels of involvement of these neurotransmitter systems in regulating the reinforcing aspects of nicotine in both humans and mouse models. These findings and coordinated efforts between human and rodent studies pave the way for future work determining gene by drug interactions and tailoring treatment options to each individual smoker.
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Affiliation(s)
- Miranda L Fisher
- Department of Pharmaceutical Sciences, University of Kentucky College of Pharmacy, Lexington, Kentucky 40536-0596, USA
| | - James R Pauly
- Department of Pharmaceutical Sciences, University of Kentucky College of Pharmacy, Lexington, Kentucky 40536-0596, USA
| | - Brett Froeliger
- Department of Neuroscience, Medical University of South Carolina, Charleston, South Carolina 29425, USA
| | - Jill R Turner
- Department of Pharmaceutical Sciences, University of Kentucky College of Pharmacy, Lexington, Kentucky 40536-0596, USA
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14
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Kim H, Lee KS. Success Factors for Tobacco Smoking Cessation Among Korean Female College Student Smokers. J Community Health 2021; 45:997-1005. [PMID: 32303921 DOI: 10.1007/s10900-020-00818-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
The purpose of this study was to identify factors that successfully influence to quit smoking in female college students. The study was conducted from September 1, 2015 to December 31, 2017. Participants included 477 female student smokers, the average age was 20.87 years. The participants received smoking cessation counseling over the course of nine visits and via telephone calls for a period of 6 months. Follow-up assessments were conducted at 4, 6, 12, and 24 weeks. The factors significantly associated with successful smoking cessation included the average number of cigarettes smoked per day, age of first smoking experience, nicotine dependency, number of counseling sessions, confidence, and readiness. The most influential factor was the number of counseling sessions. Hence, this study suggested to promote continuous counseling and to introduce counseling programs tailored to female students, which might increase their success rate of quitting.
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Affiliation(s)
- Haena Kim
- Department of Public Health, Graduate School, The Catholic University of Korea, 222-daero, Seocho-gu, Seoul, 06591, Korea.,Department of Preventive Medicine, College of Medicine, The Catholic University of Korea, 222-daero, Seocho-gu, Seoul, 06591, Korea.,Seoul Tobacco Control Center, 222-daero, Seocho-gu, Seoul, 06591, Korea
| | - Kang-Sook Lee
- Department of Public Health, Graduate School, The Catholic University of Korea, 222-daero, Seocho-gu, Seoul, 06591, Korea. .,Department of Preventive Medicine, College of Medicine, The Catholic University of Korea, 222-daero, Seocho-gu, Seoul, 06591, Korea. .,Seoul Tobacco Control Center, 222-daero, Seocho-gu, Seoul, 06591, Korea.
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15
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Reciprocal influences of tobacco use on illicit opioid and alcohol use during the first six-months of specialist addiction treatment. Drug Alcohol Depend 2021; 218:108418. [PMID: 33262003 DOI: 10.1016/j.drugalcdep.2020.108418] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 10/23/2020] [Accepted: 11/12/2020] [Indexed: 01/20/2023]
Abstract
BACKGROUND This is the first national study of lagged reciprocal associations between tobacco smoking frequency and change in illicit opioid or alcohol use frequency within six-months of treatment. METHODS All adults admitted to publicly-funded specialist addiction treatment in England in 2018/19 and enrolled for at least six months for either opioid use disorder (OUD; n = 22,046; 82.4 % of those eligible) or alcohol use disorder (AUD; n = 15,251; 78.8 % of those eligible). Two cross-lagged panel models estimated, separately for OUD and AUD patients, the relationships between smoking at admission and change in main drug over six months, and between main drug use at admission and change in smoking over six months. RESULTS Within the OUD cohort, illicit opioid use frequency reduced from 17.7 days to 8.0 days and smoking tobacco remained at 18.8 days. After controlling for available covariates, higher smoking frequency at admission was associated with a relative increase in illicit opioid use at six-months (0.02 days [95 % CI 0.00-0.03]). Within the AUD cohort, alcohol use frequency reduced from 21.2 days to 14.4 days while smoking tobacco reduced from 12.6 days to 11.5 days. Higher smoking frequency at admission was associated with a relative increase in alcohol use at six-months (0.03 days [95 % CI 0.02-0.04]) and higher alcohol use frequency at admission was associated with a relative increase in smoking at six-months (0.04 [95 % CI 0.02-0.06]), controlling for available covariates. CONCLUSIONS Higher smoking frequency at admission is associated with higher illicit opioid and alcohol use frequency after six-months of specialist addiction treatment.
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16
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Quach BC, Bray MJ, Gaddis NC, Liu M, Palviainen T, Minica CC, Zellers S, Sherva R, Aliev F, Nothnagel M, Young KA, Marks JA, Young H, Carnes MU, Guo Y, Waldrop A, Sey NYA, Landi MT, McNeil DW, Drichel D, Farrer LA, Markunas CA, Vink JM, Hottenga JJ, Iacono WG, Kranzler HR, Saccone NL, Neale MC, Madden P, Rietschel M, Marazita ML, McGue M, Won H, Winterer G, Grucza R, Dick DM, Gelernter J, Caporaso NE, Baker TB, Boomsma DI, Kaprio J, Hokanson JE, Vrieze S, Bierut LJ, Johnson EO, Hancock DB. Expanding the genetic architecture of nicotine dependence and its shared genetics with multiple traits. Nat Commun 2020; 11:5562. [PMID: 33144568 PMCID: PMC7642344 DOI: 10.1038/s41467-020-19265-z] [Citation(s) in RCA: 76] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Accepted: 09/24/2020] [Indexed: 12/31/2022] Open
Abstract
Cigarette smoking is the leading cause of preventable morbidity and mortality. Genetic variation contributes to initiation, regular smoking, nicotine dependence, and cessation. We present a Fagerström Test for Nicotine Dependence (FTND)-based genome-wide association study in 58,000 European or African ancestry smokers. We observe five genome-wide significant loci, including previously unreported loci MAGI2/GNAI1 (rs2714700) and TENM2 (rs1862416), and extend loci reported for other smoking traits to nicotine dependence. Using the heaviness of smoking index from UK Biobank (N = 33,791), rs2714700 is consistently associated; rs1862416 is not associated, likely reflecting nicotine dependence features not captured by the heaviness of smoking index. Both variants influence nearby gene expression (rs2714700/MAGI2-AS3 in hippocampus; rs1862416/TENM2 in lung), and expression of genes spanning nicotine dependence-associated variants is enriched in cerebellum. Nicotine dependence (SNP-based heritability = 8.6%) is genetically correlated with 18 other smoking traits (rg = 0.40-1.09) and co-morbidities. Our results highlight nicotine dependence-specific loci, emphasizing the FTND as a composite phenotype that expands genetic knowledge of smoking.
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Affiliation(s)
- Bryan C Quach
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, 27709, USA
| | - Michael J Bray
- Department of Psychiatry, Washington University, St. Louis, MO, 63130, USA
| | - Nathan C Gaddis
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, 27709, USA
| | - Mengzhen Liu
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, 55455, USA
| | - Teemu Palviainen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00290, Helsinki, Finland
| | - Camelia C Minica
- Department of Biological Psychology, Vrije Universiteit, 1081 BT, Amsterdam, The Netherlands
| | - Stephanie Zellers
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, 55455, USA
| | - Richard Sherva
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, 02118, USA
| | - Fazil Aliev
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, 23284, USA
- Faculty of Business, Karabuk University, 78050, Kılavuzlar/Karabük Merkez/Karabük, Turkey
| | - Michael Nothnagel
- Cologne Center for Genomics, University of Cologne, 50931, Köln, Germany
- University Hospital Cologne, 50931, Köln, Germany
| | - Kendra A Young
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Jesse A Marks
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, 27709, USA
| | - Hannah Young
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, 55455, USA
| | - Megan U Carnes
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, 27709, USA
| | - Yuelong Guo
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, 27709, USA
- GeneCentric Therapeutics, Research Triangle Park, NC, 27709, USA
| | - Alex Waldrop
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, 27709, USA
| | - Nancy Y A Sey
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27514, USA
| | - Maria T Landi
- Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD, 20892, USA
| | - Daniel W McNeil
- Department of Psychology, West Virginia University, Morgantown, WV, 26505, USA
- Department of Dental Practice and Rural Health, West Virginia University, Morgantown, WV, 26505, USA
| | - Dmitriy Drichel
- Cologne Center for Genomics, University of Cologne, 50931, Köln, Germany
- University Hospital Cologne, 50931, Köln, Germany
| | - Lindsay A Farrer
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, 02118, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, 02118, USA
- Department of Ophthalmology, Boston University School of Medicine, Boston, MA, 02118, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, 02118, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Christina A Markunas
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, 27709, USA
| | - Jacqueline M Vink
- Behavioural Science Institute, Radboud University, 6500 HE, Nijmegen, The Netherlands
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, Vrije Universiteit, 1081 BT, Amsterdam, The Netherlands
| | - William G Iacono
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, 55455, USA
| | - Henry R Kranzler
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
- VISN 4 MIRECC, Crescenz VA Medical Center, Philadelphia, PA, 19104, USA
| | - Nancy L Saccone
- Department of Genetics, Washington University, St. Louis, MO, 63130, USA
- Division of Biostatistics, Washington University, St. Louis, MO, 63130, USA
| | - Michael C Neale
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, 23284, USA
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, 23284, USA
| | - Pamela Madden
- Department of Psychiatry, Washington University, St. Louis, MO, 63130, USA
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, 68159, Mannheim, Germany
| | - Mary L Marazita
- Center for Craniofacial and Dental Genetics, Department of Oral Biology, University of Pittsburgh, Pittsburgh, PA, 15261, USA
| | - Matthew McGue
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, 55455, USA
| | - Hyejung Won
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27514, USA
| | - Georg Winterer
- Experimental & Clinical Research Center, Department of Anesthesiology and Operative Intensive Care Medicine, Charité - University Medicine Berlin, 10117, Berlin, Germany
| | - Richard Grucza
- Departments of Family and Community Medicine and Health and Clinical Outcomes Research, Saint Louis University, St. Louis, MO, 63130, USA
| | - Danielle M Dick
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, 23284, USA
- College Behavioral and Emotional Health Institute, Virginia Commonwealth University, Richmond, VA, 23284, USA
- Department of Human & Molecular Genetics, Virginia Commonwealth University, Richmond, VA, 23284, USA
| | - Joel Gelernter
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, 06511, USA
- Department of Genetics, Yale University School of Medicine, New Haven, CT, 06511, USA
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT, 06511, USA
- Department of Psychiatry, VA CT Healthcare Center, West Haven, CT, 06511, USA
| | - Neil E Caporaso
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD, 20892, USA
| | - Timothy B Baker
- Center for Tobacco Research and Intervention, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53726, USA
| | - Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit, 1081 BT, Amsterdam, The Netherlands
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00290, Helsinki, Finland
- Department of Public Health, Faculty of Medicine, University of Helsinki, 00290, Helsinki, Finland
| | - John E Hokanson
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Scott Vrieze
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, 55455, USA
| | - Laura J Bierut
- Department of Psychiatry, Washington University, St. Louis, MO, 63130, USA
| | - Eric O Johnson
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, 27709, USA
- Fellow Program, RTI International, Research Triangle Park, NC, 27709, USA
| | - Dana B Hancock
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, 27709, USA.
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Sharma A, Chhabra KG, Agarwal S, Bhansali S, Singh P, Nagrale RG. Association between health-related quality of life and sense of coherence among health professionals working in primary health centers consuming tobacco in Jaipur, India. J Family Med Prim Care 2020; 9:2963-2968. [PMID: 32984156 PMCID: PMC7491764 DOI: 10.4103/jfmpc.jfmpc_155_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Revised: 03/13/2020] [Accepted: 03/30/2020] [Indexed: 11/24/2022] Open
Abstract
Background: Health-related quality of life (HRQOL) and senses of coherence (SoC) can be affected by the use of tobacco. Hence, the aim of the present study was to explore the association between HRQOL and SoC among health professionals working in primary health centers (PHCs) consuming Tobacco. Materials and Methods: It was a cross-sectional descriptive study where sampling technique used was systematic stratified random sampling. Jaipur District has 37 PHCs retrieved from site of NRHM Rajasthan. A close-ended questionnaire was prepared to conduct the interview. Results: Majority of study participants (57; 37.01%) were of 36–40 years of age. Males respondents (86; 55.85%) consuming tobacco were more in number than female respondents. Majority of study subjects (91; 59.09%) consumed smoked kind of tobacco, in which most contributed were nurses (49; 62.82%). On applying a linear regression model, it was determined that all subscale of SF-36 was significantly (P ≤ 0.000) associated with SoC. Conclusion: From above, it was concluded that there was a strong association between HRQOL and SoC among health professionals working in primary health centers consuming tobacco.
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Affiliation(s)
- Ashish Sharma
- Department of Home Science, University of Rajasthan, Jaipur, Rajasthan, India
| | - Kumar Gaurav Chhabra
- Department of Public Health Dentistry, Sharad Pawar Dental College and Hospital, DMIMS (Deemed to be University), Sawangi, (Meghe) Wardha, Maharashtra, India
| | - Sunita Agarwal
- Department of Home Science, University of Rajasthan, Jaipur, Rajasthan, India
| | - Suman Bhansali
- Department of Preventive and Social Medicine, S.N Medical College, Jodhpur, Rajasthan, India
| | - Pooja Singh
- Department of Pedodontics and Preventive Dentistry, K.S.D Jain Dental College and Hospital, Kolkata, West Bengal, India
| | - Renuka G Nagrale
- Department of Public Health Dentistry, M A Rangoonwala College of Dental Sciences and Research Centre, Azam Campus 2390-B, K.B, Hidayatulla Rd, Camp, Pune, Maharashtra, India
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18
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Culverhouse RC, Chen LS, Saccone NL, Ma Y, Piper ME, Baker TB, Bierut LJ. Variants in the CHRNA5-CHRNA3-CHRNB4 Region of Chromosome 15 Predict Gastrointestinal Adverse Events in the Transdisciplinary Tobacco Use Research Center Smoking Cessation Trial. Nicotine Tob Res 2020; 22:248-255. [PMID: 30882151 DOI: 10.1093/ntr/ntz044] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Accepted: 03/16/2019] [Indexed: 01/04/2023]
Abstract
INTRODUCTION Reducing adverse events from pharmacologic treatment is an important goal of precision medicine and identifying genetic predictors of adverse events is a step toward this goal. In 2012, King et al. reported associations between genetic variants and adverse events in a placebo-controlled smoking cessation trial of varenicline and bupropion. Strong associations were found between gastrointestinal adverse events and 11 variants in the CHRNA5-CHRNA3-CHRNB4 region of chromosome 15, a region repeatedly associated with smoking-related phenotypes. Our goal was to replicate, in an independent sample, the impact of variants in the CHRNA5-CHRNA3-CHRNB4 region on gastrointestinal adverse events and to extend the analyses to adherence and smoking cessation. METHODS The University of Wisconsin Transdisciplinary Tobacco Use Research Center (TTURC) conducted a multiarmed, placebo-controlled smoking cessation trial of bupropion and nicotine replacement therapy that included 985 genotyped European-ancestry participants. We evaluated relationships between our key variables using logistic regression. RESULTS Gastrointestinal adverse events were experienced by 31.6% TTURC participants. Each of the CHRNA5-CHRNA3-CHRNB4 associations from the King et al. study was found in TTURC, with the same direction of effect. Neither these variants nor the gastrointestinal adverse events themselves were associated with adherence to medication or successful smoking cessation. CONCLUSIONS Variants in the CHRNA5-CHRNA3-CHRNB4 region of chromosome 15 are associated with gastrointestinal adverse events in smoking cessation. Additional independent variants in this region strengthen the association. The consistency between the results of these two independent studies supports the conclusion that these findings reflect biological response to the use of smoking cessation medication. IMPLICATIONS The fact that our findings from the TTURC smoking cessation trial support the independent findings of King et al. suggest that associations of variants in the CHRNA5-CHRNA3-CHRNB4 region of chromosome 15 with gastrointestinal adverse events while taking medications for smoking cessation reflect biology. However, although adherence to medication was a strong predictor of successful smoking cessation in TTURC, neither adverse events nor the genetic variants associated with them predicted either adherence or successful cessation in this study. Thus, although we should strive to minimize adverse events during treatment, we should not expect that to increase successful smoking cessation substantially.
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Affiliation(s)
- Robert C Culverhouse
- John T. Milliken Department of Medicine, Washington University School of Medicine, St. Louis, MO.,Division of Biostatistics, Washington University School of Medicine, St. Louis, MO
| | - Li-Shiun Chen
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Nancy L Saccone
- Department of Genetics, Washington University School of Medicine, St. Louis, MO
| | - Yinjiao Ma
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Megan E Piper
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI
| | - Timothy B Baker
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI
| | - Laura J Bierut
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
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19
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Does Rumination Mediate the Effect of Depressive Symptoms on Cigarette Dependence and Craving in Seeking Treatment Smokers? JOURNAL OF PSYCHOPATHOLOGY AND BEHAVIORAL ASSESSMENT 2020. [DOI: 10.1007/s10862-020-09812-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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20
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Cammack AL, Haardörfer R, Suglia SF. Associations between child maltreatment, cigarette smoking, and nicotine dependence in young adults with a history of regular smoking. Ann Epidemiol 2019; 40:13-20.e4. [PMID: 31711840 PMCID: PMC6911618 DOI: 10.1016/j.annepidem.2019.10.003] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Revised: 07/31/2019] [Accepted: 10/14/2019] [Indexed: 11/23/2022]
Abstract
PURPOSE The purpose of this study was to evaluate whether childhood maltreatment is associated with smoking behaviors and lifetime nicotine dependence and if associations are moderated by sex. We examined these associations among individuals who ever reported being regular smokers. METHODS Using data from the National Longitudinal Study of Adolescent to Adult Health, we examined relationships between retrospectively self-reported child maltreatment (parent/caregiver-perpetrated emotional, physical, sexual abuse, and neglect; and non-parent/caregiver-perpetrated sexual abuse) and self-reported smoking behaviors among individuals with a history of regular smoking. Outcomes were any current smoking in early adulthood (mean age = 28 years), current smoking in adolescent study waves only, adulthood only, and adolescence and adulthood (n = 3581); and lifetime history of nicotine dependence (n = 3594) per the Fagerstrom scale. RESULTS Poly-maltreatment (aRR for 2+ vs. 0 exposures = 1.20, 95% CI: 1.08, 1.34) was associated with lifetime nicotine dependence; associations between nicotine dependence and neglect and non-parent/caregiver sexual abuse by force were only present in women. Neglect and non-parent/caregiver sexual abuse by nonphysical threat were associated with continued smoking, and an association between non-parent/caregiver sexual abuse by physical force and continued smoking was also noted in women only. Women who experienced poly-maltreatment were less likely to report current smoking in adolescence but not adulthood. CONCLUSIONS These data suggest in a nationally representative sample of ever regular smokers, child maltreatment is associated with outcomes that suggest an inability to quit smoking and some associations may vary by sex.
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Affiliation(s)
- Alison L Cammack
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA.
| | - Regine Haardörfer
- Department of Behavioral Sciences and Health Education, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Shakira F Suglia
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA
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21
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Translational Molecular Approaches in Substance Abuse Research. Handb Exp Pharmacol 2019; 258:31-60. [PMID: 31628598 DOI: 10.1007/164_2019_259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
Abstract
Excessive abuse of psychoactive substances is one of the leading contributors to morbidity and mortality worldwide. In this book chapter, we review translational research strategies that are applied in the pursuit of new and more effective therapeutics for substance use disorder (SUD). The complex, multidimensional nature of psychiatric disorders like SUD presents difficult challenges to investigators. While animal models are critical for outlining the mechanistic relationships between defined behaviors and genetic and/or molecular changes, the heterogeneous pathophysiology of brain diseases is uniquely human, necessitating the use of human studies and translational research schemes. Translational research describes a cross-species approach in which findings from human patient-based data can be used to guide molecular genetic investigations in preclinical animal models in order to delineate the mechanisms of reward circuitry changes in the addicted state. Results from animal studies can then inform clinical investigations toward the development of novel treatments for SUD. Here we describe the strategies that are used to identify and functionally validate genetic variants in the human genome which may contribute to increased risk for SUD, starting from early candidate gene approaches to more recent genome-wide association studies. We will next examine studies aimed at understanding how transcriptional and epigenetic dysregulation in SUD can persistently alter cellular function in the disease state. In our discussion, we then focus on examples from the literature illustrating molecular genetic methodologies that have been applied to studies of different substances of abuse - from alcohol and nicotine to stimulants and opioids - in order to exemplify how these approaches can both delineate the underlying molecular systems driving drug addiction and provide insights into the genetic basis of SUD.
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22
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Chang YC, Huang WH, Tsai CY, Hwang LC. Comparisons of early and delayed abstainers and its effects on long-term smoking cessation in Taiwan. SUBSTANCE ABUSE TREATMENT PREVENTION AND POLICY 2019; 14:31. [PMID: 31412892 PMCID: PMC6694628 DOI: 10.1186/s13011-019-0218-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Accepted: 08/05/2019] [Indexed: 11/10/2022]
Abstract
Background Different quitting trajectories may reflect the stages of behavior change among smokers. The nature of quitting patterns could help the public health sector to design appropriate cessation plans. This study compared demographic, health, and behavioral characteristics and the effects of long-term abstinence between early and delayed abstainers. Methods We retrospectively sampled 142 abstainers from smoking cessation clinic participants for a study conducted from January 1 to December 31, 2017. Baseline information was obtained at the first clinic visit, and phone interviews were conducted 2 weeks, 3 months, and 6 months later. The 7-day point prevalence abstinence was employed for measuring their quitting status. We defined early abstainers as those who attained abstinence by second week and delayed abstainers as those who had done so by the third month. We compared their characteristics and 6-month quit rates and examined potential predictors between the two quitting patterns. Results One hundred forty-two participants were included with 87 (61.3%) early abstainers and 55 (38.7%) delayed abstainers. Early abstainers were older with more comorbidities, presenting longer smoking duration, higher exhaled carbon monoxide (CO) concentration and Fagerstrom Test of Cigarette Dependence (FTCD) scores. The 6-month abstinence rate was high for both quitting patterns with no significant difference (83.9% versus 81.8%, p = 0.7462). Higher FTCD scores and exhaled CO concentration were potential predictors for early abstainers with adjusted odds ratio 1.16 (95% confidence interval [CI], 1.01–1.33) and 1.04 (95% CI, 1.00–1.08) respectively. Conclusions Our results associated early abstainers with older age, more comorbidities and higher nicotine dependence. Both groups achieved good long-term abstinence maintenance. Although early abstainers may achieve earlier reduction of health risks, smokers could still benefit from long-term abstinence if they can manage to quit smoking even at later phases of cessation courses.
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Affiliation(s)
- Yu-Chen Chang
- The Department of Family Medicine, MacKay Memorial Hospital, No.92, Sec. 2, Zhongshan N. Rd., Zhongshan Dist, Taipei City, 104, Taiwan
| | - Wei-Hsin Huang
- The Department of Family Medicine, MacKay Memorial Hospital, No.92, Sec. 2, Zhongshan N. Rd., Zhongshan Dist, Taipei City, 104, Taiwan
| | - Chia-Ying Tsai
- Wanrong Township Public Health Center, Hualien County, Taiwan
| | - Lee-Ching Hwang
- The Department of Family Medicine, MacKay Memorial Hospital, No.92, Sec. 2, Zhongshan N. Rd., Zhongshan Dist, Taipei City, 104, Taiwan. .,The Department of Medicine, MacKay Medical College, New Taipei City, Taiwan.
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23
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Morel C, Montgomery S, Han MH. Nicotine and alcohol: the role of midbrain dopaminergic neurons in drug reinforcement. Eur J Neurosci 2019; 50:2180-2200. [PMID: 30251377 PMCID: PMC6431587 DOI: 10.1111/ejn.14160] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2018] [Revised: 07/31/2018] [Accepted: 08/20/2018] [Indexed: 12/11/2022]
Abstract
Nicotine and alcohol addiction are leading causes of preventable death worldwide and continue to constitute a huge socio-economic burden. Both nicotine and alcohol perturb the brain's mesocorticolimbic system. Dopamine (DA) neurons projecting from the ventral tegmental area (VTA) to multiple downstream structures, including the nucleus accumbens, prefrontal cortex, and amygdala, are highly involved in the maintenance of healthy brain function. VTA DA neurons play a crucial role in associative learning and reinforcement. Nicotine and alcohol usurp these functions, promoting reinforcement of drug taking behaviors. In this review, we will first describe how nicotine and alcohol individually affect VTA DA neurons by examining how drug exposure alters the heterogeneous VTA microcircuit and network-wide projections. We will also examine how coadministration or previous exposure to nicotine or alcohol may augment the reinforcing effects of the other. Additionally, this review briefly summarizes the role of VTA DA neurons in nicotine, alcohol, and their synergistic effects in reinforcement and also addresses the remaining questions related to the circuit-function specificity of the dopaminergic system in mediating nicotine/alcohol reinforcement and comorbidity.
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Affiliation(s)
- Carole Morel
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Affective Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sarah Montgomery
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Affective Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ming-Hu Han
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Affective Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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24
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Garcia‐Rivas V, Deroche‐Gamonet V. Not all smokers appear to seek nicotine for the same reasons: implications for preclinical research in nicotine dependence. Addict Biol 2019; 24:317-334. [PMID: 29480575 DOI: 10.1111/adb.12607] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2017] [Revised: 12/11/2017] [Accepted: 01/15/2018] [Indexed: 01/08/2023]
Abstract
Tobacco use leads to 6 million deaths every year due to severe long-lasting diseases. The main component of tobacco, nicotine, is recognized as one of the most addictive drugs, making smoking cessation difficult, even when 70 percent of smokers wish to do so. Clinical and preclinical studies have demonstrated consistently that nicotine seeking is a complex behavior involving various psychopharmacological mechanisms. Evidence supports that the population of smokers is heterogeneous, particularly as regards the breadth of motives that determine the urge to smoke. Here, we review converging psychological, genetic and neurobiological data from clinical and preclinical studies supporting that the mechanisms controlling nicotine seeking may vary from individual to individual. It appears timely that basic neuroscience integrates this heterogeneity to refine our understanding of the neurobiology of nicotine seeking, as tremendous progress has been made in modeling the various psychopharmacological mechanisms driving nicotine seeking in rodents. For a better understanding of the mechanisms that drive nicotine seeking, we emphasize the need for individual-based research strategies in which nicotine seeking, and eventually treatment efficacy, are determined while taking into account individual variations in the mechanisms of nicotine seeking.
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Affiliation(s)
- Vernon Garcia‐Rivas
- Université de Bordeaux France
- INSERM U1215, Psychobiology of Drug AddictionNeuroCentre Magendie France
| | - Véronique Deroche‐Gamonet
- Université de Bordeaux France
- INSERM U1215, Psychobiology of Drug AddictionNeuroCentre Magendie France
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25
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Athamneh LN, Stein JS, Amlung M, Bickel WK. Validation of a brief behavioral economic assessment of demand among cigarette smokers. Exp Clin Psychopharmacol 2019; 27:96-102. [PMID: 30265063 PMCID: PMC6355365 DOI: 10.1037/pha0000228] [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] [Indexed: 01/25/2023]
Abstract
Basic and clinical addiction research use demand measures and analysis extensively to characterize drug use motivations. Hence, obtaining an accurate and brief measurement of demand that can be easily utilized in different settings is highly valued. In the current study, 2 versions of a breakpoint measure, designed to capture cigarette demand, were investigated in 119 smokers who were recruited from an online crowdsourcing platform. The first version determines the maximum price a smoker is willing to pay for one cigarette received right now when paid out of pocket, and the second determines the maximum price when paid using a hypothetical $100 gift card received for free. The breakpoint measures were administered along with the Cigarette Purchase Task (CPT), Fagerström Test for Cigarette Dependence (FTCD), and The Questionnaire of Smoking Urges (QSU-brief). Both single-item breakpoint versions were significantly correlated with CPT-derived demand measures loaded on the persistence factor (i.e., elasticity of demand, breakpoint, Pmax, and Omax), but not with those loaded on the amplitude factor (i.e., intensity of demand). In addition, both single-item measures were associated with metrics of tobacco dependence (e.g., FTCD, QSU) with effect sizes that are similar to the ones found between CPT-derived breakpoint and those same metrics. These findings suggest that the single-item breakpoint measure is a viable method for measuring demand that may provide a useful and efficient tool to capture crucial and distinct aspects of smoking. In addition, the breakpoint measures may help increase the utility of behavioral demand measures in novel research and clinical settings. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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Affiliation(s)
- Liqa N. Athamneh
- Addiction Recovery Research Center, Virginia Tech Carilion Research Institute, Roanoke, VA, USA; Graduate Program in Translational Biology, Medicine, and Health, Virginia Tech, Blacksburg, Virginia, USA
| | - Jeffrey S. Stein
- Addiction Recovery Research Center, Virginia Tech Carilion Research Institute, Roanoke, VA, USA; Center for Transformative Research on Health Behaviors, Virginia Tech Carilion Research Institute, Roanoke, VA, USA; Graduate Program in Translational Biology, Medicine, and Health, Virginia Tech, Blacksburg, Virginia, USA
| | - Michael Amlung
- Peter Boris Centre for Addictions Research, Department of Psychiatry & Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Warren K. Bickel
- Addiction Recovery Research Center, Virginia Tech Carilion Research Institute, Roanoke, VA, USA; Center for Transformative Research on Health Behaviors, Virginia Tech Carilion Research Institute, Roanoke, VA, USA; Graduate Program in Translational Biology, Medicine, and Health, Virginia Tech, Blacksburg, VA, USA; Department of Psychology, Virginia Tech, Blacksburg, VA, USA; Department of Neuroscience, Virginia Tech, Blacksburg, VA, USA; Faculty of Health Sciences, Virginia Tech, Blacksburg, VA, USA; Department of Psychiatry and Behavioral Medicine, Virginia Tech Carilion School of Medicine, Roanoke, VA, USA
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26
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Kõks G, Tran HDT, Ngo NBT, Hoang LNN, Tran HMT, Ngoc TC, Phuoc TD, Dung Ho X, Duy BH, Lättekivi F, Kõks S. Cross-Sectional Study to Characterise Nicotine Dependence in Central Vietnamese Men. SUBSTANCE ABUSE-RESEARCH AND TREATMENT 2019; 13:1178221818822979. [PMID: 30728715 PMCID: PMC6350161 DOI: 10.1177/1178221818822979] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/01/2018] [Accepted: 12/06/2018] [Indexed: 11/16/2022]
Abstract
Tobacco is legally permitted for adults, easily available, and the prevalence of smoking is high. Tobacco use is the largest preventable risk factor for human disease. To reduce smoking, many countries have introduced public policy to restrict the distribution of tobacco. The aim of this study was to analyse tobacco smoking and nicotine dependence in Central Vietnamese men around Hue and Da Nang cities. Nicotine dependence was measured using the Fagerström Test for Nicotine Dependence (FTND) score. The cohort contained total of 1822 Central Vietnamese men from Hue and Da Nang: 1453 smokers and 369 non-smokers. Individuals completed a questionnaire and factors such as smoking initiation, quitting behaviour, and success in quitting were also recorded. In the smoking group, the average amount of time in which the individual had smoked was 26.4 years. Average FTND value was 4.02, median was 4, the first quartile was 2, and the third quartile was 6. In all, 431 smokers (30%) had an FTND score of 6 or higher; an FTND score of this value is considered to equate to an individual having high nicotine dependence. Therefore, it could be noted that high nicotine dependence is very common in Central Vietnam. High nicotine dependence was significantly correlated with years of smoking. The longer the smoking period, the higher the FTND score. A high FTND score correlated with the individual being less likely to successfully quit smoking. The results of the questionnaire demonstrate that even when there is no restriction in public policy concerning the distribution of tobacco, individuals still wish to quit smoking. This study identified a high prevalence of severe nicotine dependence in Central Vietnamese men and the majority smokers wished to quit smoking. Consequently, the results of this study highlight the acute need for a specific programme to aid smokers in Central Vietnam to quit smoking.
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Affiliation(s)
- Gea Kõks
- Department of Pathophysiology, University of Tartu, Tartu, Estonia
| | - Ha Diep Thi Tran
- Public Health Faculty, Danang University of Medical Technology and Pharmacy, Da Nang, Vietnam
| | - Ngoc Bich Thi Ngo
- Public Health Faculty, Danang University of Medical Technology and Pharmacy, Da Nang, Vietnam
| | - Linh Nhat Nguyen Hoang
- Public Health Faculty, Danang University of Medical Technology and Pharmacy, Da Nang, Vietnam
| | - Hue Minh Thi Tran
- Public Health Faculty, Danang University of Medical Technology and Pharmacy, Da Nang, Vietnam
| | - Thanh Cao Ngoc
- Hue University of Medicine and Pharmacy, Hue University, Hue, Vietnam
| | - Thuoc Doan Phuoc
- Hue University of Medicine and Pharmacy, Hue University, Hue, Vietnam
| | - Xuan Dung Ho
- Department of Pathophysiology, University of Tartu, Tartu, Estonia.,Hue University of Medicine and Pharmacy, Hue University, Hue, Vietnam
| | - Binh Ho Duy
- Department of Pathophysiology, University of Tartu, Tartu, Estonia.,Hue University of Medicine and Pharmacy, Hue University, Hue, Vietnam
| | - Freddy Lättekivi
- Department of Pathophysiology, University of Tartu, Tartu, Estonia
| | - Sulev Kõks
- Perron Institute for Neurological and Translational Science, Nedlands, WA, Australia
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27
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Worley MJ, Isgro M, Heffner JL, Lee SY, Daniel BE, Anthenelli RM. Predictors of reduced smoking quantity among recovering alcohol dependent men in a smoking cessation trial. Addict Behav 2018; 84:263-270. [PMID: 29763835 DOI: 10.1016/j.addbeh.2018.05.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Revised: 05/04/2018] [Accepted: 05/07/2018] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Adults with alcohol dependence (AD) have exceptionally high smoking rates and poor smoking cessation outcomes. Discovery of factors that predict reduced smoking among AD smokers may help improve treatment. This study examined baseline predictors of smoking quantity among AD smokers in a pharmacotherapy trial for smoking cessation. METHODS The sample includes male, AD smokers (N = 129) with 1-32 months of alcohol abstinence who participated in a 12-week trial of medication (topiramate vs. placebo) and adjunct counseling with 6 months of follow-up. Baseline measures of nicotine dependence, AD severity, psychopathology, motivation to quit smoking, and smoking-related cognitions were used to predict smoking quantity (cigarettes per day) at post-treatment and follow-up. RESULTS Overall, the sample had statistically significant reductions in smoking quantity. Greater nicotine dependence (Incidence rate ratios (IRRs) = 0.82-0.90), motivation to quit (IRRs = 0.65-0.85), and intrinsic reasons for quitting (IRRs = 0.96-0.98) predicted fewer cigarettes/day. Conversely, greater lifetime AD severity (IRR = 1.02), depression severity (IRRs = 1.05-1.07), impulsivity (IRRs = 1.01-1.03), weight-control expectancies (IRRs = 1.10-1.15), and childhood sexual abuse (IRRs = 1.03-1.07) predicted more cigarettes/day. CONCLUSIONS Smokers with AD can achieve large reductions in smoking quantity during treatment, and factors that predict smoking outcomes in the general population also predict greater smoking reductions in AD smokers. Treatment providers can use severity of nicotine dependence and AD, motivation to quit, smoking-related cognitions, and severity of depression to guide treatment and improve outcomes among AD smokers.
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Affiliation(s)
- Matthew J Worley
- Pacific Treatment and Research Center (Pac-TARC), 3350 La Jolla Village Drive, 116A, San Diego, CA 92161, United States; Department of Psychiatry, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0821, United States.
| | - Melodie Isgro
- Pacific Treatment and Research Center (Pac-TARC), 3350 La Jolla Village Drive, 116A, San Diego, CA 92161, United States; Department of Psychiatry, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0821, United States
| | - Jaimee L Heffner
- Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N., M3-B232, PO Box 19024, Seattle, WA 98109, United States
| | - Soo Yong Lee
- Department of Psychiatry, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0821, United States
| | - Belinda E Daniel
- Pacific Treatment and Research Center (Pac-TARC), 3350 La Jolla Village Drive, 116A, San Diego, CA 92161, United States
| | - Robert M Anthenelli
- Pacific Treatment and Research Center (Pac-TARC), 3350 La Jolla Village Drive, 116A, San Diego, CA 92161, United States; Department of Psychiatry, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0821, United States
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28
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Hancock DB, Guo Y, Reginsson GW, Gaddis NC, Lutz SM, Sherva R, Loukola A, Minica CC, Markunas CA, Han Y, Young KA, Gudbjartsson DF, Gu F, McNeil DW, Qaiser B, Glasheen C, Olson S, Landi MT, Madden PAF, Farrer LA, Vink J, Saccone NL, Neale MC, Kranzler HR, McKay J, Hung RJ, Amos CI, Marazita ML, Boomsma DI, Baker TB, Gelernter J, Kaprio J, Caporaso NE, Thorgeirsson TE, Hokanson JE, Bierut LJ, Stefansson K, Johnson EO. Genome-wide association study across European and African American ancestries identifies a SNP in DNMT3B contributing to nicotine dependence. Mol Psychiatry 2018; 23:1911-1919. [PMID: 28972577 PMCID: PMC5882602 DOI: 10.1038/mp.2017.193] [Citation(s) in RCA: 62] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Revised: 07/14/2017] [Accepted: 07/17/2017] [Indexed: 11/09/2022]
Abstract
Cigarette smoking is a leading cause of preventable mortality worldwide. Nicotine dependence, which reduces the likelihood of quitting smoking, is a heritable trait with firmly established associations with sequence variants in nicotine acetylcholine receptor genes and at other loci. To search for additional loci, we conducted a genome-wide association study (GWAS) meta-analysis of nicotine dependence, totaling 38,602 smokers (28,677 Europeans/European Americans and 9925 African Americans) across 15 studies. In this largest-ever GWAS meta-analysis for nicotine dependence and the largest-ever cross-ancestry GWAS meta-analysis for any smoking phenotype, we reconfirmed the well-known CHRNA5-CHRNA3-CHRNB4 genes and further yielded a novel association in the DNA methyltransferase gene DNMT3B. The intronic DNMT3B rs910083-C allele (frequency=44-77%) was associated with increased risk of nicotine dependence at P=3.7 × 10-8 (odds ratio (OR)=1.06 and 95% confidence interval (CI)=1.04-1.07 for severe vs mild dependence). The association was independently confirmed in the UK Biobank (N=48,931) using heavy vs never smoking as a proxy phenotype (P=3.6 × 10-4, OR=1.05, and 95% CI=1.02-1.08). Rs910083-C is also associated with increased risk of squamous cell lung carcinoma in the International Lung Cancer Consortium (N=60,586, meta-analysis P=0.0095, OR=1.05, and 95% CI=1.01-1.09). Moreover, rs910083-C was implicated as a cis-methylation quantitative trait locus (QTL) variant associated with higher DNMT3B methylation in fetal brain (N=166, P=2.3 × 10-26) and a cis-expression QTL variant associated with higher DNMT3B expression in adult cerebellum from the Genotype-Tissue Expression project (N=103, P=3.0 × 10-6) and the independent Brain eQTL Almanac (N=134, P=0.028). This novel DNMT3B cis-acting QTL variant highlights the importance of genetically influenced regulation in brain on the risks of nicotine dependence, heavy smoking and consequent lung cancer.
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Affiliation(s)
- D B Hancock
- Behavioral and Urban Health Program, Behavioral Health and Criminal Justice Division, RTI International, Research Triangle Park, NC, USA.
| | - Y Guo
- Center for Genomics in Public Health and Medicine, RTI International, Research Triangle Park, NC, USA
| | | | - N C Gaddis
- Research Computing Division, RTI International, Research Triangle Park, NC, USA
| | - S M Lutz
- Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - R Sherva
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA
| | - A Loukola
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - C C Minica
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
| | - C A Markunas
- Behavioral and Urban Health Program, Behavioral Health and Criminal Justice Division, RTI International, Research Triangle Park, NC, USA
| | - Y Han
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - K A Young
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - D F Gudbjartsson
- deCODE Genetics/Amgen, Reykjavik, Iceland
- Department of Engineering and Natural Sciences, University of Iceland, Reykjavík, Iceland
| | - F Gu
- Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD, USA
| | - D W McNeil
- Department of Psychology, West Virginia University, Morgantown, WV, USA
- Department of Dental Practice and Rural Health, West Virginia University, Morgantown, WV, USA
| | - B Qaiser
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - C Glasheen
- Behavioral and Urban Health Program, Behavioral Health and Criminal Justice Division, RTI International, Research Triangle Park, NC, USA
| | - S Olson
- Public Health Informatics Program, eHealth, Quality and Analytics Division, RTI International, Research Triangle Park, NC, USA
| | - M T Landi
- Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD, USA
| | - P A F Madden
- Department of Psychiatry, Washington University, St. Louis, MO, USA
| | - L A Farrer
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Department of Ophthalmology, Boston University School of Medicine, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - J Vink
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
- Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands
| | - N L Saccone
- Department of Genetics, Washington University, St. Louis, MO, USA
| | - M C Neale
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - H R Kranzler
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Crescenz VA Medical Center, Philadelphia, PA, USA
| | - J McKay
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - R J Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, University of Toronto, Toronto, ON, Canada
| | - C I Amos
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - M L Marazita
- Center for Craniofacial and Dental Genetics, Department of Oral Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - D I Boomsma
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
| | - T B Baker
- Center for Tobacco Research and Intervention, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - J Gelernter
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA
- VA CT Healthcare Center, Department of Psychiatry, West Haven, CT, USA
| | - J Kaprio
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Department of Public Health, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - N E Caporaso
- Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD, USA
| | | | - J E Hokanson
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - L J Bierut
- Department of Psychiatry, Washington University, St. Louis, MO, USA
| | | | - E O Johnson
- Fellow Program and Behavioral Health and Criminal Justice Division, RTI International, Research Triangle Park, NC, USA
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Reeves LE, Gaudiano BA, Metrik J, Guzman Holst C, Morena A, Sydnor VJ, Weinstock LM, Epstein-Lubow G. Comorbid Cannabis and Tobacco Use Disorders in Hospitalized Patients with Psychotic-Spectrum Disorders. J Dual Diagn 2018; 14:171-180. [PMID: 30265850 DOI: 10.1080/15504263.2018.1470359] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
OBJECTIVE Individuals with psychotic-spectrum disorders use tobacco and cannabis at higher rates than the general population and individuals with other psychiatric disorders, which may contribute to increased rates of medical problems and mortality. The present study examined whether individuals with psychosis and comorbid tobacco and/or cannabis use disorders exhibit differing clinical characteristics in terms of their sociodemographic, mental health, substance use, physical health, and medication use patterns. Elucidation of these profiles, and determining their relative severity, has important implications for treatment, including offering more targeted interventions based on type of comorbidity pattern. METHODS We examined the electronic medical records of 829 patients with psychotic-spectrum disorders admitted to a psychiatric hospital and categorized them as having: (1) cannabis use disorder (CUD); (2) tobacco use disorder (TUD); (3) comorbid cannabis and tobacco use disorders (CUD + TUD); or (4) neither disorder (no CUD/TUD). Multinomial logistic regression was used to compare the aforementioned groups on multiple variables controlling for age and sex. RESULTS Alcohol and stimulant use disorder diagnoses were each related to higher odds of having a CUD and CUD + TUD, relative to no CUD/TUD. Stimulant and polysubstance use disorder diagnoses were each related to higher odds of having a TUD compared to no CUD/TUD. Greater number of prescribed psychotropic medications was related to higher odds of a TUD compared to no CUD/TUD. CONCLUSIONS Although several differences between groups were accounted for by age of cannabis versus tobacco users, findings point to the importance of considering comorbid alcohol and substance use disorders among those with psychosis and CUD/TUD, as these comorbidities have important implications for screening and treatment selection during and following acute hospitalization.
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Affiliation(s)
- Lauren E Reeves
- a Butler Hospital, Psychosocial Research Program, Providence , Rhode Island , USA.,b Warren Alpert Medical School of Brown University , Department of Psychiatry and Human Behavior , Providence , Rhode Island , USA
| | - Brandon A Gaudiano
- a Butler Hospital, Psychosocial Research Program, Providence , Rhode Island , USA.,b Warren Alpert Medical School of Brown University , Department of Psychiatry and Human Behavior , Providence , Rhode Island , USA
| | - Jane Metrik
- c Providence Veterans Administration Medical Center , Providence , Rhode Island , USA.,d Center for Alcohol and Addiction Studies , Brown University, School of Public Health , Providence , Rhode Island , USA
| | - Carolina Guzman Holst
- a Butler Hospital, Psychosocial Research Program, Providence , Rhode Island , USA.,b Warren Alpert Medical School of Brown University , Department of Psychiatry and Human Behavior , Providence , Rhode Island , USA
| | - Alexandra Morena
- a Butler Hospital, Psychosocial Research Program, Providence , Rhode Island , USA
| | - Valerie J Sydnor
- a Butler Hospital, Psychosocial Research Program, Providence , Rhode Island , USA.,b Warren Alpert Medical School of Brown University , Department of Psychiatry and Human Behavior , Providence , Rhode Island , USA
| | - Lauren M Weinstock
- a Butler Hospital, Psychosocial Research Program, Providence , Rhode Island , USA.,b Warren Alpert Medical School of Brown University , Department of Psychiatry and Human Behavior , Providence , Rhode Island , USA
| | - Gary Epstein-Lubow
- a Butler Hospital, Psychosocial Research Program, Providence , Rhode Island , USA.,b Warren Alpert Medical School of Brown University , Department of Psychiatry and Human Behavior , Providence , Rhode Island , USA
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30
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Huffman AL, Bromberg JE, Augustson EM. Lifetime Depression, Other Mental Illness, and Smoking Cessation. Am J Health Behav 2018; 42:90-101. [PMID: 29973314 PMCID: PMC6050019 DOI: 10.5993/ajhb.42.4.9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Objectives In this study, we attempt to elucidate the relationship between lifetime mental illness (LMI), particularly a depression diagnosis, and smoking cessation. Methods Data were drawn from a previous study and include LMI, demographics, mood, and smoking cessation outcomes. We evaluated the relationship between multiple LMIs and smoking cessation at 7 months post-intervention, and depression in combination with another LMI. Results At 7 months, the adjusted odds of cessation for those with one LMI, including depression, were 0.74 (p = .102), and for those with 2+ LMIs, 0.69 (p = .037), both in comparison with participants who reported no history of LMI. Among those with 2+ LMIs, the adjusted odds of cessation for those with a depression diagnosis were 0.34 (p = .007) compared to those whose multiple LMIs did not include depression. Conclusions Among smokers seeking cessation treatment, those who had 2+ LMIs were at greater risk of relapse, an effect particularly marked in smokers with depression. This study adds to the literature examining the potential impact of LMI on smokers' ability to quit by considering the potential impact of 2+ LMIs and highlights the potential impact of depression as a risk factor for continued smoking.
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31
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Morel C, Fernandez SP, Pantouli F, Meye FJ, Marti F, Tolu S, Parnaudeau S, Marie H, Tronche F, Maskos U, Moretti M, Gotti C, Han MH, Bailey A, Mameli M, Barik J, Faure P. Nicotinic receptors mediate stress-nicotine detrimental interplay via dopamine cells' activity. Mol Psychiatry 2018; 23:1597-1605. [PMID: 29155800 DOI: 10.1038/mp.2017.145] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2017] [Revised: 04/26/2017] [Accepted: 05/26/2017] [Indexed: 11/09/2022]
Abstract
Epidemiological studies report strong association between mood disorders and tobacco addiction. This high comorbidity requires adequate treatment but the underlying mechanisms are unknown. We demonstrate that nicotine exposure, independent of drug withdrawal effects, increases stress sensitivity, a major risk factor in mood disorders. Nicotine and stress concur to induce long-lasting cellular adaptations within the dopamine (DA) system. This interplay is underpinned by marked remodeling of nicotinic systems, causing increased ventral tegmental area (VTA) DA neurons' activity and stress-related behaviors, such as social aversion. Blocking β2 or α7 nicotinic acetylcholine receptors (nAChRs) prevents, respectively, the development and the expression of social stress-induced neuroadaptations; conversely, facilitating α7 nAChRs activation specifically in the VTA promotes stress-induced cellular and behavioral maladaptations. Our work unravels a complex nicotine-stress bidirectional interplay and identifies α7 nAChRs as a promising therapeutic target for stress-related psychiatric disorders.
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Affiliation(s)
- C Morel
- Sorbonne Universités, UPMC Univ Paris 06, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), Paris, France.,CNRS UMR 8246, INSERM U1130, Paris, France.,Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - S P Fernandez
- Université Côte d'Azur, Valbonne, France.,CNRS, Institut de Pharmacologie Moléculaire et Cellulaire, Nice, France
| | - F Pantouli
- Institute of Medical and Biomedical Education, St. George's University of London, London, UK
| | - F J Meye
- CNRS UMR 8246, INSERM U1130, Paris, France.,Team Synapses and Pathophysiology of Reward, INSERM UMR-S 839, Institut du Fer à Moulin, Paris, France
| | - F Marti
- Sorbonne Universités, UPMC Univ Paris 06, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), Paris, France.,CNRS UMR 8246, INSERM U1130, Paris, France
| | - S Tolu
- Sorbonne Universités, UPMC Univ Paris 06, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), Paris, France.,CNRS UMR 8246, INSERM U1130, Paris, France
| | - S Parnaudeau
- CNRS UMR 8246, INSERM U1130, Paris, France.,Team Gene Regulation and Adaptive Behaviors, Neurosciences Paris Seine, INSERM U 1130, CNRS UMR 8246, Paris, France
| | - H Marie
- Université Côte d'Azur, Valbonne, France.,CNRS, Institut de Pharmacologie Moléculaire et Cellulaire, Nice, France
| | - F Tronche
- CNRS UMR 8246, INSERM U1130, Paris, France.,Team Gene Regulation and Adaptive Behaviors, Neurosciences Paris Seine, INSERM U 1130, CNRS UMR 8246, Paris, France
| | - U Maskos
- Team Integrative Neurobiology of Cholinergic Systems, CNRS UMR 3571, Institut Pasteur, Paris, France
| | - M Moretti
- CNR, Institute of Neuroscience and Biometra Department Università degli Studi di Milano, Milan, Italy
| | - C Gotti
- CNR, Institute of Neuroscience and Biometra Department Università degli Studi di Milano, Milan, Italy
| | - M-H Han
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - A Bailey
- Institute of Medical and Biomedical Education, St. George's University of London, London, UK
| | - M Mameli
- CNRS UMR 8246, INSERM U1130, Paris, France.,Team Synapses and Pathophysiology of Reward, INSERM UMR-S 839, Institut du Fer à Moulin, Paris, France
| | - J Barik
- Université Côte d'Azur, Valbonne, France. .,CNRS, Institut de Pharmacologie Moléculaire et Cellulaire, Nice, France.
| | - P Faure
- Sorbonne Universités, UPMC Univ Paris 06, INSERM, CNRS, Neuroscience Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), Paris, France. .,CNRS UMR 8246, INSERM U1130, Paris, France.
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Factors Correlated with Success Rate of Outpatient Smoking Cessation Services in Taiwan. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15061218. [PMID: 29890766 PMCID: PMC6025172 DOI: 10.3390/ijerph15061218] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/19/2018] [Revised: 06/01/2018] [Accepted: 06/05/2018] [Indexed: 11/17/2022]
Abstract
Smoking is the leading cause of preventable death. The purpose of this study was to explore the patient’s and physician’s factors that are correlated with smoking cessation success rate. A total of 877 smokers who visited the outpatient smoking cessation services at a medical center in Northern Taiwan were recruited for the study. Phone interviews were carried out six months after the initial visit to evaluate the success rate of smoking cessation. The result showed that the abstinence rate at six-month was 37.7%. By the multivariate logistic regression model, the predictive factors of abstinence were smokers who had a lower Fagerström test for cigarette dependence (FTCD), lower exhaled carbon monoxide (CO) concentration, or who smoked less than 20 cigarettes per day at the first visit. Smokers who had more than one smoking cessation outpatient visit or seen by physicians who, on average, delivered more than one smoking cessation consultations per week also led to a higher success rate. Therefore, we suggest that physicians should put more efforts and encourage follow-up visits for some smokers by knowing their characteristics at the first visit. Furthermore, physicians with more experience in smoking cessation consultation seemed to be more likely to help patients to quit smoking successfully.
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Palis H, Marchand K, Karamouzian M, MacDonald S, Harrison S, Guh D, Lock K, Brissette S, Anis AH, Krausz M, Marsh DC, Schechter MT, Oviedo-Joekes E. The association between nicotine dependence and physical health among people receiving injectable diacetylmorphine or hydromorphone for the treatment of chronic opioid use disorder. Addict Behav Rep 2018; 7:82-89. [PMID: 29892701 PMCID: PMC5993889 DOI: 10.1016/j.abrep.2018.03.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2018] [Accepted: 03/25/2018] [Indexed: 11/21/2022] Open
Abstract
INTRODUCTION People with chronic opioid use disorder often present to treatment with individual and structural vulnerabilities and remain at risk of reporting adverse health outcomes. This risk is greatly compounded by tobacco smoking, which is highly prevalent among people with chronic opioid use disorder. Despite the known burden of tobacco smoking on health, the relationship between nicotine dependence and health has not been studied among those receiving injectable opioid agonist treatment. As such, the present study aims to explore the association between nicotine dependence and physical health among participants of the Study to Assess Longer-Term Opioid Medication Effectiveness (SALOME) at baseline and six-months. METHODS SALOME was a double-blind phase III clinical trial testing the non-inferiority of injectable hydromorphone to injectable diacetylmorphine for chronic opioid use disorder. Participants reporting tobacco smoking were included in a linear regression analysis of physical health at baseline (before receiving treatment) and at six-months. RESULTS At baseline, nicotine dependence score, lifetime history of emotional, physical, or sexual abuse and prior month safe injection site access were independently and significantly associated with physical health. At six-months nicotine dependence score was the only variable that maintained this significant and independent association with physical health. CONCLUSIONS Findings indicate that after six-months, the injectable treatment effectively brought equity to patients' physical health status, yet the association with nicotine dependence remained. Findings could inform whether the provision of treatment for nicotine dependence should be made a priority in settings where injectable opioid agonist treatment is delivered to achieve improvements in overall physical health in this population.
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Affiliation(s)
- Heather Palis
- Centre for Health Evaluation & Outcome Sciences, Providence Health Care, St. Paul's Hospital, 575-1081 Burrard St., Vancouver, BC V6Z 1Y6, Canada
- School of Population and Public Health, University of British Columbia, 2206 East Mall, Vancouver, BC V6T 1Z3, Canada
| | - Kirsten Marchand
- Centre for Health Evaluation & Outcome Sciences, Providence Health Care, St. Paul's Hospital, 575-1081 Burrard St., Vancouver, BC V6Z 1Y6, Canada
- School of Population and Public Health, University of British Columbia, 2206 East Mall, Vancouver, BC V6T 1Z3, Canada
| | - Mohammad Karamouzian
- School of Population and Public Health, University of British Columbia, 2206 East Mall, Vancouver, BC V6T 1Z3, Canada
- HIV/STI Surveillance Research Center, WHO Collaborating Center for HIV Surveillance, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Haft-Bagh Highway, Kerman, Iran
| | - Scott MacDonald
- Providence Health Care, Providence Crosstown Clinic, 84 West Hastings Street, Vancouver, BC V6B 1G6, Canada
| | - Scott Harrison
- Providence Health Care, Providence Crosstown Clinic, 84 West Hastings Street, Vancouver, BC V6B 1G6, Canada
| | - Daphne Guh
- Centre for Health Evaluation & Outcome Sciences, Providence Health Care, St. Paul's Hospital, 575-1081 Burrard St., Vancouver, BC V6Z 1Y6, Canada
| | - Kurt Lock
- Centre for Health Evaluation & Outcome Sciences, Providence Health Care, St. Paul's Hospital, 575-1081 Burrard St., Vancouver, BC V6Z 1Y6, Canada
| | - Suzanne Brissette
- Centre Hospitalier de l'Université de Montréal, Hôpital Saint-Luc, CHUM Montréal, Montréal, QC H2X 3J4, Canada
| | - Aslam H. Anis
- Centre for Health Evaluation & Outcome Sciences, Providence Health Care, St. Paul's Hospital, 575-1081 Burrard St., Vancouver, BC V6Z 1Y6, Canada
| | - Michael Krausz
- Department of Psychiatry, Faculty of Medicine, Detwiller Pavilion, 2255 Wesbrook Mall, Vancouver, BC V6T 2A1, Canada
| | - David C. Marsh
- Northern Ontario School of Medicine, 935 Ramsey Lake Road, Sudbury, ON P3E 2C6, Canada
| | - Martin T. Schechter
- Centre for Health Evaluation & Outcome Sciences, Providence Health Care, St. Paul's Hospital, 575-1081 Burrard St., Vancouver, BC V6Z 1Y6, Canada
- School of Population and Public Health, University of British Columbia, 2206 East Mall, Vancouver, BC V6T 1Z3, Canada
| | - Eugenia Oviedo-Joekes
- Centre for Health Evaluation & Outcome Sciences, Providence Health Care, St. Paul's Hospital, 575-1081 Burrard St., Vancouver, BC V6Z 1Y6, Canada
- School of Population and Public Health, University of British Columbia, 2206 East Mall, Vancouver, BC V6T 1Z3, Canada
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Associations between opioid and nicotine dependence in nationally representative samples of United States adult daily smokers. Drug Alcohol Depend 2018; 186:167-170. [PMID: 29579724 PMCID: PMC5911224 DOI: 10.1016/j.drugalcdep.2018.01.024] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2017] [Revised: 01/24/2018] [Accepted: 01/28/2018] [Indexed: 11/23/2022]
Abstract
INTRODUCTION Smoking prevalence among adults with opioid dependence far exceeds that of the general population, and cessation outcomes in this group are one-fourth that of smokers without a substance use disorder. Understanding the reasons underlying these poor outcomes is critical for developing more effective smoking interventions in this group. Elevated baseline severity of nicotine dependence is associated with lower rates of smoking cessation over time. We examined whether nicotine dependence severity among smokers may vary as a function of opioid dependence status using nationally representative samples of adult smokers. METHODS Data were derived from multiple years of the National Survey on Drug Use and Health (NSDUH, 2006-2014; n = 58,971). Nicotine dependence was measured by the Nicotine Dependence Syndrome Scale (NDSS) and the first item (i.e., time to first cigarette) of the Fagerström Test for Nicotine Dependence (FTND). Opioid dependence was assessed using the Diagnostic and Statistical Manual of Mental Disorders criteria. RESULTS Opioid-dependent smokers exhibited greater severity of nicotine dependence compared to non-opioid dependent smokers, as evidenced by higher mean NDSS scores (p < 0.05). On both NDSS and FTND measures of nicotine dependence, opioid-dependent smokers were also approximately twice as likely to be dependent on nicotine than those not dependent on opioids (p's < 0.05). CONCLUSIONS Opioid dependence is associated with increased severity and prevalence of nicotine dependence among smokers. Considering the disproportionate societal and economic burdens of smoking and smoking-related consequences in this vulnerable population, continued investigations are needed to better understand opioid-dependent individuals' poor cessation outcomes.
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Chen LS, Horton A, Bierut L. Pathways to precision medicine in smoking cessation treatments. Neurosci Lett 2018; 669:83-92. [PMID: 27208830 PMCID: PMC5115988 DOI: 10.1016/j.neulet.2016.05.033] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2016] [Revised: 05/12/2016] [Accepted: 05/17/2016] [Indexed: 02/06/2023]
Abstract
Cigarette smoking is highly addictive and modern genetic research has identified robust genetic influences on nicotine dependence. An important step in translating these genetic findings to clinical practice is identifying the genetic factors affecting smoking cessation in order to enhance current smoking cessation treatments. We reviewed the significant genetic variants that predict nicotine dependence, smoking cessation, and response to cessation pharmacotherapy. These data suggest that genetic risks can predict smoking cessation outcomes and moderate the effect of pharmacological treatments. Some pharmacogenetic findings have been replicated in meta-analyses or in multiple smoking cessation trials. The variation in efficacy between smokers with different genetic markers supports the notion that personalized smoking cessation intervention based upon genotype could maximize the efficiency of such treatment while minimizing side effects, thus influencing the number needed to treat (NNT) and the number needed to harm. In summary, as precision medicine is revolutionizing healthcare, smoking cessation may be one of the first areas where genetic variants may identify individuals at increased risk. Current evidence strongly suggests that genetic variants predict cessation failure and that cessation pharmacotherapy effectiveness is modulated by biomarkers such as nicotinic cholinergic receptor α5 subunit (CHRNA5) genotypes or nicotine metabolism ratio (NMR). These findings strengthen the case for the development and rigorous testing of treatments that target patients with different biological risk profiles.
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Affiliation(s)
- Li-Shiun Chen
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, United States.
| | - Amy Horton
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, United States
| | - Laura Bierut
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, United States
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36
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Bierut LJ, Tyndale RF. Preparing the Way: Exploiting Genomic Medicine to Stop Smoking. Trends Mol Med 2018; 24:187-196. [PMID: 29307500 DOI: 10.1016/j.molmed.2017.12.001] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2017] [Revised: 12/07/2017] [Accepted: 12/10/2017] [Indexed: 12/15/2022]
Abstract
Clinical medicine of the future is poised to use an individual's genomic data to predict disease risk and guide clinical care. The treatment of cigarette smoking and tobacco use disorder represents a prime area for genomics implementation. The genes CHRNA5 and CYP2A6 are strong genomic contributors that alter the risk of heaviness of smoking, tobacco use disorder, and smoking-related diseases in humans. These biomarkers have proven analytical and clinical validity, and evidence for their clinical utility continues to grow. We propose that these biomarkers harbor the potential of enabling the identification of elevated disease risk in smokers, personalizing smoking cessation treatments, and motivating behavioral changes. We must prepare for the integration of genomic applications into clinical care of patients who smoke.
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Affiliation(s)
- Laura J Bierut
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
| | - Rachel F Tyndale
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH) and Departments of Psychiatry, Pharmacology and Toxicology, University of Toronto, Toronto, M5S 1A8, Ontario, Canada
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Hatzinger M, Hemmeter U, Hirsbrunner T, Holsboer-Trachsler E, Leyhe T, Mall JF, Mosimann U, Rach N, Trächsel N, Savaskan E. [Not Available]. PRAXIS 2018; 107:127-144. [PMID: 29382263 DOI: 10.1024/1661-8157/a002883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Zusammenfassung. Diese Empfehlungen sollen dazu dienen, Fachpersonen das Wissen über die aktuelle Evidenz von Diagnostik und Therapie der Depression im Alter zur Verfügung zu stellen und damit zur frühzeitigen Erkennung und evidenzbasierten Behandlung beizutragen. Da für einige Behandlungsansätze nur rudimentär kontrollierte Studien vorliegen, wird auch das klinische Expertenwissen in die Beurteilung einbezogen. Im diagnostischen Vorgehen wird die besondere Symptomatik der Depression im Alter beleuchtet, auf die Suizidalität eingegangen und werden die häufig vorkommenden somatischen Komorbiditäten hervorgehoben. Auch Hypothesen zur Pathogenese, wie Neuroendokrinologie, Neurodegeneration und vaskuläre Faktoren, werden erläutert. In der Behandlung gilt heute ein integrierter biopsychosozialer Ansatz mit gezielten psychosozialen Interventionen, spezifischer Psychotherapie und einer antidepressiven Pharmakotherapie bei schweren Depressionen als sinnvoll. Daneben kommen auch chronobiologische oder Neurostimulationsverfahren zum Einsatz.
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Affiliation(s)
- Martin Hatzinger
- 1 Schweizerische Gesellschaft für Alterspsychiatrie und Alterspsychotherapie (SGAP)
- 2 Schweizerische Gesellschaft für Biologische Psychiatrie (SGBP)
| | - Ulrich Hemmeter
- 1 Schweizerische Gesellschaft für Alterspsychiatrie und Alterspsychotherapie (SGAP)
| | - Therese Hirsbrunner
- 4 Schweizerischer Berufsverband der Pflegefachfrauen und Pflegefachmänner (SBK)
| | | | - Thomas Leyhe
- 1 Schweizerische Gesellschaft für Alterspsychiatrie und Alterspsychotherapie (SGAP)
| | - Jean-Frédéric Mall
- 1 Schweizerische Gesellschaft für Alterspsychiatrie und Alterspsychotherapie (SGAP)
| | - Urs Mosimann
- 2 Schweizerische Gesellschaft für Biologische Psychiatrie (SGBP)
| | - Nicole Rach
- 5 Schweizerische Fachgesellschaft für Gerontopsychologie (SFGP)
| | - Nathalie Trächsel
- 1 Schweizerische Gesellschaft für Alterspsychiatrie und Alterspsychotherapie (SGAP)
| | - Egemen Savaskan
- 1 Schweizerische Gesellschaft für Alterspsychiatrie und Alterspsychotherapie (SGAP)
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Jacobs DS, Barkin CE, Kohut MR, Bergman J, Kohut SJ. Effects of lorcaserin (Belviq ®) on nicotine- and food-maintained responding in non-human primates. Drug Alcohol Depend 2017; 181:94-101. [PMID: 29040827 PMCID: PMC5857383 DOI: 10.1016/j.drugalcdep.2017.09.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Revised: 09/05/2017] [Accepted: 09/07/2017] [Indexed: 11/30/2022]
Abstract
BACKGROUND Accumulating evidence suggests that the FDA-approved serotonin 5-HT2C receptor agonist, lorcaserin (Belviq®), may be a promising candidate for the management of substance use disorders, including nicotine addiction. The present study was conducted to determine the efficacy and selectivity of acute or continuous lorcaserin treatment for decreasing the reinforcing effects of nicotine in a primate species. METHODS Adult rhesus monkeys (n=4) with a history of nicotine self-administration (>2years) responded for injections of nicotine (0.32-100μg/kg IV) or food pellets under a fixed-ratio schedule of reinforcement during daily 100-min sessions. When responding was stable, lorcaserin was administered either as an acute pretreatment (0.1-1.0mg/kg, IM) or by continuous infusion (0.1mg/kg/hr, SC for 3-5days). Daily activity patterns were also monitored immediately following experimental sessions. RESULTS Results indicate that acute lorcaserin pretreatment produced significant and dose-dependent decreases in nicotine-maintained responding across a >100-fold range of self-administered nicotine doses. Continuous lorcaserin treatment decreased intake of 10μg/kg/inj nicotine to about 50% of baseline values. Food-maintained responding was only moderately decreased in 3 of 4 subjects after acute administration and unaffected in all subjects during continuous treatment. Daily activity also was significantly decreased-to ≤50% of control values-following experimental sessions in which acute lorcaserin was administered. CONCLUSIONS These data indicate that lorcaserin reduces IV self-administration of nicotine at a dose that decreases motoric activity but less consistently disrupts food-maintained responding. Further research into lorcaserin's potential utility for the management of nicotine dependence is warranted.
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Affiliation(s)
- David S Jacobs
- Preclinical Pharmacology Laboratory, McLean Hospital, 115 Mill Street, Belmont, MA, USA.
| | - Claire E Barkin
- Preclinical Pharmacology Laboratory, McLean Hospital, 115 Mill Street, Belmont, MA, USA
| | | | - Jack Bergman
- Preclinical Pharmacology Laboratory, McLean Hospital, 115 Mill Street, Belmont, MA, USA; Department of Psychiatry, Harvard Medical School,115 Mill Street, Belmont, MA, USA.
| | - Stephen J Kohut
- Preclinical Pharmacology Laboratory, McLean Hospital, 115 Mill Street, Belmont, MA, USA; Department of Psychiatry, Harvard Medical School,115 Mill Street, Belmont, MA, USA.
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39
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Nieva G, Comín M, Valero S, Bruguera E. Cigarette dependence and depressive symptoms as predictors of smoking status at five-year follow-up after a workplace smoking cessation program. Addict Behav 2017; 73:9-15. [PMID: 28431293 DOI: 10.1016/j.addbeh.2017.04.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2016] [Revised: 03/22/2017] [Accepted: 04/01/2017] [Indexed: 10/19/2022]
Abstract
Workplace smoking cessation interventions increase quit rates compared to no treatment or minimal interventions. However, most studies report data up to one year. This study aims to evaluate long-term effects of a worksite smoking cessation intervention based on cognitive behavioral cessation groups combined with first-line medications, and determine to what extent cigarette dependence (FTCD) and depressive symptoms may influence results at five-year follow-up. Participants were invited to answer a short survey five years after starting the program. A total of 90.4% (n=227) of those who had attended at least one treatment session and were alive, completed the survey. At the five-year follow-up, 29.5% participants reported continuous abstinence. Low scores in the FTCD and low depressive symptoms at baseline predicted continuous abstinence. Three out of four continuous abstainers at twelve months remained abstinent at the five-year follow-up. The study shows that workplace smoking cessation interventions have long-term effects and supports the traditional one-year follow-up period to assess smoking cessation.
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40
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De Genna NM, Goldschmidt L, Day NL, Cornelius MD. Prenatal tobacco exposure, maternal postnatal nicotine dependence and adolescent risk for nicotine dependence: Birth cohort study. Neurotoxicol Teratol 2017; 61:128-132. [PMID: 28242457 PMCID: PMC5453833 DOI: 10.1016/j.ntt.2017.02.004] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Revised: 02/21/2017] [Accepted: 02/23/2017] [Indexed: 12/18/2022]
Abstract
AIMS The goals of this study are to determine if there is (a) a threshold effect for prenatal tobacco exposure (PTE) on adolescent risk for nicotine dependence, and (b) an additive effect of PTE and maternal postnatal nicotine dependence on adolescent risk for nicotine dependence. METHODS Pregnant women were recruited in their 4th or 5th gestational month and asked about cigarette use during the first trimester. Mothers reported on third trimester cigarette use at delivery. Sixteen years post-partum, mothers and offspring reported on current levels of cigarette use (N=784). Nicotine dependence was assessed in both using a modified Fagerström questionnaire. RESULTS Based on the results of a threshold analysis for PTE, four groups were created: threshold PTE only (10+ cigarettes per day), maternal nicotine postnatal dependence with no-low PTE (0-<10 cigarettes per day), threshold PTE+maternal postnatal nicotine dependence, and a referent group with no-low PTE and no maternal postnatal nicotine dependence. Adolescents in the PTE-only group and the PTE+maternal postnatal nicotine dependence group were significantly more likely to be at risk for nicotine dependence than the offspring from the referent group. However, there was no evidence for an additive effect of maternal postnatal nicotine dependence, and maternal nicotine dependence was not a significant predictor of adolescent risk for nicotine dependence in regression models including prenatal tobacco exposure. CONCLUSIONS Bivariate analysis revealed a threshold effect for PTE of 10 cigarettes per day. In multivariate analysis, PTE remained significantly related to risk for offspring nicotine dependence, after controlling for maternal postnatal nicotine dependence and other covariates associated with adolescent cigarette use.
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Affiliation(s)
- Natacha M De Genna
- Department of Psychiatry, University of Pittsburgh School of Medicine and Department of Epidemiology, Graduate School of Public Health, 3811 O'Hara Street, Pittsburgh, PA 15213, USA.
| | - Lidush Goldschmidt
- University of Pittsburgh Medical Center, Program in Epidemiology, 817 Bellefield Tower, 100 North Bellefield Avenue, Pittsburgh, PA 15213, USA.
| | - Nancy L Day
- Department of Psychiatry, University of Pittsburgh School of Medicine and Department of Epidemiology, Graduate School of Public Health, 3811 O'Hara Street, Pittsburgh, PA 15213, USA.
| | - Marie D Cornelius
- Department of Psychiatry, University of Pittsburgh School of Medicine and Department of Epidemiology, Graduate School of Public Health, 3811 O'Hara Street, Pittsburgh, PA 15213, USA.
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Keyser-Marcus L, Vassileva J, Stewart K, Johns S. Impulsivity and cue reactivity in smokers with comorbid depression and anxiety: Possible implications for smoking cessation treatment strategies. THE AMERICAN JOURNAL OF DRUG AND ALCOHOL ABUSE 2017; 43:432-441. [DOI: 10.1080/00952990.2017.1287190] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Lori Keyser-Marcus
- Institute for Drug and Alcohol Studies, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Jasmin Vassileva
- Institute for Drug and Alcohol Studies, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Karen Stewart
- Department of Psychiatry and Behavior Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sade Johns
- Institute for Drug and Alcohol Studies, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
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Devkota B, Salas J, Garfield L. Increased Risk of Major Depression With Early Age of Exposure to Cigarettes. Am J Prev Med 2016; 51:933-938. [PMID: 27436333 DOI: 10.1016/j.amepre.2016.05.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2016] [Revised: 05/16/2016] [Accepted: 05/20/2016] [Indexed: 10/21/2022]
Abstract
INTRODUCTION This study examined the association between age of initiation of cigarette use and increased risk of lifetime major depressive episode. METHODS This study utilized publicly available data from the 2013 National Survey on Drug Use and Health involving a nationally representative sample of interviews of 55,160 randomly selected people aged ≥12 years. Analysis was conducted in 2016. Age of initiation of cigarette use was divided into four groups (≤12 years, 13-14 years, 15-18 years, and >18 years). Eligible participants included adults aged ≥18 years who had ever smoked a cigarette and had non-missing data for all analytic variables (n=23,906). Associations between lifetime major depressive episode and covariates were assessed using chi-square tests. Logistic regression was used to calculate crude ORs and AORs with 95% CIs. RESULTS About half of participants reported starting cigarette use when they were aged 15-18 years. Compared with the group that initiated cigarette use at age ≤12 years, all other age groups were from 25% to almost 50% less likely to report a lifetime major depressive episode. CONCLUSIONS Early age of onset of cigarette use is associated with increased likelihood of experiencing a lifetime major depressive episode. Further research is needed to elucidate the mechanisms driving this association.
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Affiliation(s)
- Bishnu Devkota
- Department of Internal Medicine, Saint Louis University School of Medicine, Saint Louis, Missouri.
| | - Joanne Salas
- Department of Family and Community Medicine, Saint Louis University School of Medicine, Saint Louis, Missouri
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43
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Matos EGD, Atzendorf J, Kraus L, Piontek D. Substanzkonsum in der Allgemeinbevölkerung in Deutschland. SUCHT-ZEITSCHRIFT FUR WISSENSCHAFT UND PRAXIS 2016. [DOI: 10.1024/0939-5911/a000445] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Zusammenfassung. Ziel: Die Verbreitung des Substanzkonsums in der erwachsenen Allgemeinbevölkerung Deutschlands soll anhand aktueller Daten dargestellt werden. Methodik: Datengrundlage bildete der Epidemiologische Suchtsurvey 2015, eine bundesweite Befragung in der Wohnbevölkerung von 18 bis 64 Jahren (n = 9,204; Rücklaufquote: 52.2 %). Probanden wurden zum Gebrauch von Tabak, Alkohol, illegalen Drogen und Medikamenten befragt. Ergebnisse: In den letzten 30 Tagen hatten 28.7 % der Befragten Tabakprodukte genutzt. Den Konsum von Alkohol in diesem Zeitraum berichteten 72.8 %. Hinweise auf klinisch relevanten Konsum in den letzten 12 Monaten wiesen 28.3 % (Männer) bzw. 9.6 % (Frauen) auf. Die 12-Monats-Prävalenz illegaler Drogen lag bei 6.1 % für Cannabis und bei maximal 1 % für alle anderen Substanzen. Unter Medikamenten hatten Schmerzmittel die höchste Gebrauchsprävalenz (47.1 %) sowie die geringste Prävalenz täglichen Gebrauchs unter Nutzern (8.6 %). Schlussfolgerungen: Die Ergebnisse belegen die nach wie vor hohe Verbreitung des Substanzkonsums in der Allgemeinbevölkerung. Konsumprävalenz sowie Hinweise auf klinisch relevanten Konsum sind in Bezug auf legale Substanzen, die eine hohe Verfügbarkeit charakterisiert, am häufigsten. Hinweise auf klinisch relevanten Konsum illegaler Drogen bestanden bei deutlich weniger Personen. Da es sich dabei jedoch um eine besondere Risikogruppe handelt, ist deren Erreichung durch adäquate Angebote sicherzustellen.
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Affiliation(s)
| | | | - Ludwig Kraus
- IFT Institut für Therapieforschung, München
- Centre for Social Research on Alcohol and Drugs (SoRAD), Stockholm University, Stockholm
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44
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Kraus L, Piontek D, Atzendorf J, Matos EGD. Zeitliche Entwicklungen im Substanzkonsum in der deutschen Allgemeinbevölkerung. SUCHT-ZEITSCHRIFT FUR WISSENSCHAFT UND PRAXIS 2016. [DOI: 10.1024/0939-5911/a000446] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Zusammenfassung. Ziel: Ziel der Studie ist die Analyse von Trends des (klinisch relevanten) Konsums von Tabak, Alkohol, Cannabis und anderen illegalen Drogen sowie der Einnahme von Medikamenten zwischen 1995 und 2015. Methodik: Datengrundlage bilden acht Erhebungswellen des Epidemiologischen Suchtsurveys (ESA) aus den Jahren 1995 bis 2015. Die Befragungen erfolgten schriftlich, telefonisch oder online. Eine einheitliche Darstellung zeitlicher Trends ist für den Altersbereich 18 bis 59 Jahre möglich. Ergebnisse: Der Tabakkonsum hat in den letzten 20 Jahren abgenommen. Trenddaten des Alkoholkonsums zeigen sinkende Konsumwerte für Männer und stabile Werte für Frauen. Die Prävalenz des Rauschtrinkens ist bei Frauen seit dem Jahr 2009 angestiegen. Der Cannabiskonsum hat zwischen 2012 und 2015 bei beiden Geschlechtern zugenommen. Der wöchentliche Gebrauch von Schmerzmitteln ist angestiegen, während bei Schlaf-/Beruhigungsmitteln ein Rückgang zu verzeichnen ist. Indikatoren eines klinisch relevanten Konsums zeigen für Cannabis keine Änderungen, für Tabak einen Rückgang und für Medikamente einen Anstieg. Hinweise auf klinisch relevanten Alkoholkonsum sind bei Männern konstant geblieben und bei Frauen angestiegen. Schlussfolgerungen: Die weite Verbreitung insbesondere der legalen Substanzen legt einen dringenden Handlungsbedarf für Prävention und Intervention nahe. Als besondere Zielgruppe wurden Frauen identifiziert, bei denen der klinisch relevante Konsum von Alkohol und Medikamenten zugenommen hat.
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Affiliation(s)
- Ludwig Kraus
- IFT Institut für Therapieforschung, München
- Centre for Social Research on Alcohol and Drugs (SoRAD), Stockholm University, Stockholm
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45
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Riaz M, Lewis S, Coleman T, Aveyard P, West R, Naughton F, Ussher M. Which measures of cigarette dependence are predictors of smoking cessation during pregnancy? Analysis of data from a randomized controlled trial. Addiction 2016; 111:1656-65. [PMID: 26997495 PMCID: PMC5084769 DOI: 10.1111/add.13395] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2015] [Revised: 11/26/2015] [Accepted: 03/14/2016] [Indexed: 11/27/2022]
Abstract
AIMS To examine the ability of different common measures of cigarette dependence to predict smoking cessation during pregnancy. DESIGN Secondary analysis of data from a parallel-group randomized controlled trial of physical activity for smoking cessation. The outcomes were biochemically validated smoking abstinence at 4 weeks post-quit and end-of-pregnancy. SETTING Women identified as smokers in antenatal clinics in 13 hospital trusts predominantly in southern England, who were recruited to a smoking cessation trial. PARTICIPANTS Of 789 pregnant smokers recruited, 784 were included in the analysis. MEASUREMENTS Using random-effect logistic regression models, we analysed the effects of baseline measures of cigarette dependence, including numbers of cigarettes smoked daily, Fagerström Test of Cigarette Dependence (FTCD) score, the two FTCD subscales of Heaviness of Smoking Index (HSI) and non-Heaviness of Smoking Index (non-HSI), expired carbon monoxide (CO) level and urges to smoke (strength and frequency) on smoking cessation. Associations were adjusted for significant socio-demographic/health behaviour predictors and trial variables, and area under the receiver operating characteristic (ROC) curve was used to determine the predictive ability of the model for each measure of dependence. FINDINGS All the dependence variables predicted abstinence at 4 weeks and end-of-pregnancy. At 4 weeks, the adjusted odds ratio (OR) (95% confidence interval) for a unit standard deviation increase in FTCD was 0.59 (0.47-0.74), expired CO = 0.54 (0.41-0.71), number of cigarettes smoked per day 0.65 (0.51-0.84) and frequency of urges to smoke 0.79 (0.63-0.98); at end-of-pregnancy they were: 0.60 (0.45-0.81), 0.55 (0.37-0.80), 0.70 (0.49-0.98) and 0.69 (0.51-0.94), respectively. HSI and non-HSI exhibited similar results to the full FTCD. CONCLUSIONS Four common measures of dependence, including number of cigarettes smoked per day, scores for Fagerström Test of Cigarette Dependence and frequency of urges and level of expired CO, all predicted smoking abstinence in the short term during pregnancy and at end-of-pregnancy with very similar predictive validity.
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Affiliation(s)
- Muhammad Riaz
- Population Health Research Institute, St George's University of LondonLondonUK
| | - Sarah Lewis
- Division of Epidemiology and Public Health and UK Centre for Tobacco and Alcohol StudiesUniversity of NottinghamNottinghamUK
| | - Tim Coleman
- Division of Primary Care and UK Centre for Tobacco and Alcohol StudiesUniversity of NottinghamNottinghamUK
| | - Paul Aveyard
- Nuffield Department of Primary Care Health SciencesUniversity of OxfordOxfordUK
| | - Robert West
- Health Behaviour Research Centre, Department of Epidemiology and Public Health, UCLLondonUK
| | - Felix Naughton
- Behavioural Science Group, Institute of Public HealthUniversity of CambridgeCambridgeUK
| | - Michael Ussher
- Population Health Research Institute, St George's University of LondonLondonUK
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46
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Kushnir V, Sproule BA, Zawertailo L, Selby P, Tyndale RF, Leatherdale ST, Cunningham JA. Impact of self-reported lifetime depression or anxiety on effectiveness of mass distribution of nicotine patches. Tob Control 2016; 26:526-533. [PMID: 27543563 DOI: 10.1136/tobaccocontrol-2016-052994] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2016] [Accepted: 08/02/2016] [Indexed: 11/04/2022]
Abstract
BACKGROUND Large-scale public health initiatives providing free nicotine replacement therapy have been shown to increase smoking cessation rates; however, their effectiveness among the highly prevalent population of smokers with depression and anxiety disorders has not been explored. The aim of this study was to investigate the influence of lifetime history of depression or anxiety on smoking cessation success following the free distribution of nicotine patches. METHOD In the context of a randomised controlled trial, a secondary analysis was conducted on 1000 adult regular smokers randomised to be mailed a 5-week supply of nicotine patches or to a no intervention control group. Participants were divided into subgroups based on the presence of self-reported lifetime diagnosis of depression and anxiety. RESULTS Irrespective of self-reported lifetime history of depression or anxiety, odds of self-reported cessation at 6 months were significantly greater among groups receiving nicotine patches compared to no intervention control (no history of depression or anxiety: OR 2.20; 95% CI 1.05 to 4.63; history of depression or anxiety present: OR 3.90; 95% CI 1.28 to 11.88). Among nicotine patch recipients only, quit outcomes did not differ between those with and without self-reported lifetime depression or anxiety in models unadjusted and adjusted for differences in demographic and smoking characteristics. CONCLUSIONS The mass distribution of free nicotine patches (without behavioural support) is effective among smokers with or without lifetime history of depression or anxiety alike, providing further support for the adoption of similar initiatives as a means of promoting tobacco cessation on a population level. TRIAL REGISTRATION NUMBER NCT01429129, Post-results.
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Affiliation(s)
- Vladyslav Kushnir
- Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Beth A Sproule
- Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Laurie Zawertailo
- Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Peter Selby
- Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.,Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Rachel F Tyndale
- Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.,Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Scott T Leatherdale
- School of Public Health and Health Systems, University of Waterloo, Waterloo, Ontario, Canada
| | - John A Cunningham
- Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.,National Institute for Mental Health Research, Research School of Population Health, Australian National University, Canberra, Australian Capital Territory, Australia
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47
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Bidwell LC, Palmer RHC, Brick L, McGeary JE, Knopik VS. Genome-wide single nucleotide polymorphism heritability of nicotine dependence as a multidimensional phenotype. Psychol Med 2016; 46:2059-69. [PMID: 27052577 PMCID: PMC4925274 DOI: 10.1017/s0033291716000453] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
BACKGROUND Heritability estimates from twin studies of the multi-faceted phenotype of nicotine dependence (ND) range from moderate to high (31-60%), but vary substantially based on the specific ND-related construct examined. The current study estimated the aggregate role of common genetic variants on key ND constructs. METHOD Genomic-relationship-matrix restricted maximum likelihood (GREML) was used to decompose phenotypic variance across multiple ND indices using 796 125 polymorphisms from 2346 unrelated 'lifetime ever smokers' of European ancestry. Measures included DSM-IV ND and Fagerström Test for Nicotine Dependence (FTND) summary measures and constituent constructs (e.g. withdrawal severity, tolerance, heaviness of smoking and time spent smoking). Exploratory and confirmatory factor models were used to describe the covariance structure across ND measures; resulting factor(s) were the subject(s) of GREML analyses. RESULTS Factor models indicated highly correlated DSM-IV and FTND factors for ND (0.545, 95% confidence interval 0.50-0.60) that could be represented as a higher-order factor (NIC DEP). Additive genetic influence on NIC DEP was 33% (s.e. = 0.14, p = 0.009). Post-hoc analyses indicated moderate genetic effects on the DSM-IV (34%, s.e. = 0.14, p = 0.008) and FTND (26%, s.e. = 0.14, p = 0.032) factors, both of which were influenced by the same genetic effects (r G-SNP = 1.00, s.e. = 0.09, p < 0.00001). CONCLUSIONS Overall, common single nucleotide polymorphisms accounted for a large proportion of the genetic influences on ND-related phenotypes that have been observed in twin studies. Genetic contributions across distinct ND scales were largely influenced by shared genetic factors.
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Affiliation(s)
- L C Bidwell
- Institute of Cognitive Science,University of Colorado at Boulder,Boulder, CO,USA
| | - R H C Palmer
- Department of Psychiatry and Human Behavior,Alpert Medical School of Brown University,Providence, RI,USA
| | - L Brick
- Division of Behavioral Genetics,Department of Psychiatry,Rhode Island Hospital,Providence, RI,USA
| | - J E McGeary
- Department of Psychiatry and Human Behavior,Alpert Medical School of Brown University,Providence, RI,USA
| | - V S Knopik
- Department of Psychiatry and Human Behavior,Alpert Medical School of Brown University,Providence, RI,USA
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48
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Bazo-Alvarez JC, Peralta-Alvarez F, Bernabé-Ortiz A, Alvarado GF, Miranda JJ. Tobacco consumption and positive mental health: an epidemiological study from a positive psychology perspective. BMC Psychol 2016; 4:22. [PMID: 27142187 PMCID: PMC4855856 DOI: 10.1186/s40359-016-0130-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2015] [Accepted: 04/25/2016] [Indexed: 12/05/2022] Open
Abstract
Background Positive mental health (PMH) is much more than the absence of mental illnesses. For example, PMH explains that to be happy or resilient can drive us to live a full life, giving us a perception of well-being and robustness against everyday problems. Moreover, PMH can help people to avoid risky behaviours like tobacco consumption (TC). Our hypothesis was that PMH is negatively associated with TC, and this association differs across rural, urban and migrant populations. Methods A cross-sectional study was conducted using the PERU MIGRANT Study’s dataset, including rural population from the Peruvian highlands (n = 201), urban population from the capital city Lima (n = 199) and migrants who were born in highlands but had to migrated because of terrorism (n = 589). We used an adapted version of the 12-item Global Health Questionnaire to measure PMH. The outcome was TC, measured as lifetime and recent TC. Log-Poisson robust regression, performed with a Maximum Likelihood method, was used to estimate crude prevalence ratios (PR) and 95 % confidence intervals (95%CI), adjusted by sex, age, family income and education which were the confounders. The modelling procedure included the use of LR Test, Akaike information criteria (AIC) and Bayesian information criteria (BIC). Results Cumulative occurrence of tobacco use (lifetime TC) was 61.7 % in the rural group, 78 % in the urban group and 76.2 % in rural-to-urban migrants. Recent TC was 35.3 % in the rural group, 30.7 % in the urban group and 20.5 % in rural-to-urban migrants. After adjusting for confounders, there was evidence of a negative association between PMH and lifetime TC in the rural group (PR = 0.93; 95%CI: 0.87–0.99), and a positive association between PMH and recent TC in migrants (PR = 1.1; 95%CI: 1.0–1.3). Conclusions PMH was negatively associated with TC in rural participants only. Urbans exhibited just a similar trend, while migrants exhibited the opposite one. This evidence represents the first step in the route of knowing the potential of PMH for fighting against TC. For rural populations, this study supplies new information that could support decisions about prevention programmes and psychotherapy for smoking cessation. However, more research in the topic is needed. Electronic supplementary material The online version of this article (doi:10.1186/s40359-016-0130-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Juan Carlos Bazo-Alvarez
- CRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Av. Armendáriz 497, Miraflores, Lima, Peru. .,School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Peru.
| | - Frank Peralta-Alvarez
- CRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Av. Armendáriz 497, Miraflores, Lima, Peru
| | - Antonio Bernabé-Ortiz
- CRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Av. Armendáriz 497, Miraflores, Lima, Peru
| | - Germán F Alvarado
- School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - J Jaime Miranda
- CRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Av. Armendáriz 497, Miraflores, Lima, Peru.,School of Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru
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49
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Pal A, Balhara YPS. A Review of Impact of Tobacco Use on Patients with Co-occurring Psychiatric Disorders. Tob Use Insights 2016; 9:7-12. [PMID: 26997871 PMCID: PMC4788174 DOI: 10.4137/tui.s32201] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2016] [Revised: 02/09/2016] [Accepted: 02/11/2016] [Indexed: 12/28/2022] Open
Abstract
Consumption of tobacco has been a worldwide problem over the past few decades due to the highly prevalent tobacco-attributable complications. Tobacco use has also been found to be more prevalent in patients with psychiatric disorders. Therefore, we conducted this review about the impact of tobacco use on co-occurring psychiatric disorders. Various facets of this interaction between tobacco use among those with co-occurring psychiatric disorders have been explored. It has been found that people with psychiatric disorders have a higher chance of currently smoking tobacco and lesser chance of cessation. Tobacco use and mental disorders continue to share a complex relationship that has been further evolving after the change in the pattern of tobacco use and also the advent of newer modalities of treatment. However, at the same time, it is believed that cessation of smoking may lead to improvement in the symptoms of mental illness.
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Affiliation(s)
- Arghya Pal
- Senior Resident, Department of Psychiatry, Medical College and Hospital, Kolkata, India
| | - Yatan Pal Singh Balhara
- Department of Psychiatry, National Drug Dependence Treatment Center (NDDTC), All India Institute of Medical Sciences (AIIMS), New Delhi, India
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50
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Smoking cessation and depressive symptoms at 1-, 3-, 6-, and 12-months follow-up. J Affect Disord 2016; 191:94-9. [PMID: 26655118 DOI: 10.1016/j.jad.2015.11.042] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2015] [Revised: 10/18/2015] [Accepted: 11/23/2015] [Indexed: 11/24/2022]
Abstract
BACKGROUND The relationship between tobacco and depressive symptoms has been examined. However, there is little information on the evolution of these symptoms when an individual quits. The aim of this study was to analyze the evolution of depressive symptoms over time (pre-, post-treatment, 1-, 3-, 6-, and 12-months follow-up) in relation to smoking status 12 months after having received a psychological treatment for smoking cessation. METHOD The sample was made up of 242 adults who received cognitive-behavioral treatment for smoking cessation (64.4% women; mean age=41.71 years). The BDI-II was used to assess depressive symptomatology. Participants were classified into three groups according to smoking status at 12-months follow-up (abstainers, relapsers, and smokers). RESULTS There were no significant differences in depressive symptoms among the three groups at pretreatment. At the end of treatment, abstainers and relapsers presented less depressive symptomatology than smokers. At follow-up, abstainers continued to present less depressive symptomatology than smokers, whereas in relapsers, symptoms began to increase as the relapses occurred. Regarding the evolution of depressive symptomatology, the abstainer and relapser groups showed a significant reduction at the end of treatment. Only in the group of abstainers did the decrease continue during 12 months follow-up. LIMITATIONS The decrease of the initial sample size from 562 to 242 participants. Variables such as self-esteem and self-efficacy were not assessed. CONCLUSIONS Smoking cessation is associated with a decrease in depressive symptomatology, that is maintained over time. In contrast, relapse is associated with an increase of such symptoms. These findings signify the potential importance of addressing depressive symptomatology in smoking cessation treatment.
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