101
|
Performance-based alternatives to race-norms in neuropsychological assessment. Cortex 2021; 148:231-238. [DOI: 10.1016/j.cortex.2021.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 12/13/2021] [Accepted: 12/16/2021] [Indexed: 11/20/2022]
|
102
|
Abstract
PURPOSE OF REVIEW This comprehensive review of mood disorders brings together the past and current literature on the diagnosis, evaluation, and treatment of the depressive and bipolar disorders. It highlights the primary mood disorders and secondary neurologic causes of mood disorders that are commonly encountered in a clinical setting. As the literature and our understanding evolve, recent additions to the current literature are important to bring forth to the readers. RECENT FINDINGS Advancements in clinical medicine have strengthened our understanding of the associations of neurologic and psychiatric diseases. This article highlights the medications frequently used with newly identified mood disorders and the common side effects of these medications. A paradigm shift has moved toward newer treatment modalities, such as the use of ketamine, repetitive transcranial magnetic stimulation, and complementary and alternative medicine. The risks and benefits of such therapies, along with medications, are reviewed in this article. SUMMARY Mood disorders are extraordinarily complex disorders with significant association with many neurologic disorders. Early identification of these mood disorders can prevent significant morbidity and mortality associated with them. With further expansion of pharmacologic options, more targeted therapy is possible in improving quality of life for patients.
Collapse
|
103
|
Anxiety, Depression and Quality of Life-A Systematic Review of Evidence from Longitudinal Observational Studies. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182212022. [PMID: 34831779 PMCID: PMC8621394 DOI: 10.3390/ijerph182212022] [Citation(s) in RCA: 120] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 11/05/2021] [Accepted: 11/09/2021] [Indexed: 11/16/2022]
Abstract
This review aimed to systematically review observational studies investigating the longitudinal association between anxiety, depression and quality of life (QoL). A systematic search of five electronic databases (PubMed, PsycINFO, PSYNDEX, NHS EED and EconLit) as well as forward/backward reference searches were conducted to identify observational studies on the longitudinal association between anxiety, depression and QoL. Studies were synthesized narratively. Additionally, a random-effects meta-analysis was performed using studies applying the mental and physical summary scores (MCS, PCS) of the Short Form Health Survey. The review was prospectively registered with PROSPERO and a study protocol was published. n = 47 studies on heterogeneous research questions were included, with sample sizes ranging from n = 28 to 43,093. Narrative synthesis indicated that QoL was reduced before disorder onset, dropped further during the disorder and improved with remission. Before onset and after remission, QoL was lower in comparison to healthy comparisons. n = 8 studies were included in random-effects meta-analyses. The pooled estimates of QoL at follow-up (FU) were of small to large effect sizes and showed that QoL at FU differed by disorder status at baseline as well as by disorder course over time. Disorder course groups differed in their MCS scores at baseline. Effect sizes were generally larger for MCS relative to PCS. The results highlight the relevance of preventive measures and treatment. Future research should consider individual QoL domains, individual anxiety/depressive disorders as well as the course of both over time to allow more differentiated statements in a meta-analysis.
Collapse
|
104
|
Schopman SME, ten Have M, van Balkom AJ, de Graaf R, Batelaan NM. Course trajectories of anxiety disorders: Results from a 6-year follow-up in a general population study. Aust N Z J Psychiatry 2021; 55:1049-1057. [PMID: 33887978 PMCID: PMC8554495 DOI: 10.1177/00048674211009625] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
OBJECTIVE Little is known about the course of anxiety disorders in the general population. This study provides insights into the course of anxiety disorders in the general population taking into account transition to residual symptoms and to other diagnostic categories. METHODS Using data from three waves of the Netherlands Mental Health Survey and Incidence Study-2 (NEMESIS-2; n = 6646), subjects with anxiety disorders (T0;n = 243) were divided into three mutually exclusive course trajectories according to their diagnostic status at 3-year (T1) and 6-year (T2) follow-up: remission group (no disorder at T2), intermittent course group (no disorder at T1 and disorder at T2) and chronic course group (disorder at all measurements). Transition to residual symptoms or other psychopathology were studied. In addition, predictors of course trajectories were assessed. RESULTS During 6-year follow-up, 77.8% of subjects achieved remission, 14.0% followed an intermittent course and 8.2% a chronic course. Of those in remission, residual anxiety symptoms remained in 46.6%, while 7.9% developed another disorder between T0 and T2. Compared with the remitting group, a chronic course was predicted by not living with a partner, multiple negative life events, neuroticism, lower mental functioning, severity of anxiety symptoms, use of mental health care and medication use. LIMITATIONS The intermittent and chronic course groups were small, limiting statistical power. As a result, certain predictors may not have reached significance. CONCLUSIONS In the general population at 6-year follow-up, 77.8% of subjects with anxiety disorders achieved remission. Because of transition to residual symptoms or another diagnostic category, only 52.4% of those subjects had a true favourable outcome.
Collapse
Affiliation(s)
- Simone ME Schopman
- Department of Psychiatry, Amsterdam Public Health Institute, Vrije Universiteit Amsterdam and Amsterdam UMC, Amsterdam, The Netherlands,GGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands,Simone M Schopman, Department of Psychiatry, Amsterdam Public Health Institute, Vrije Universiteit Amsterdam and Amsterdam UMC, Oldenaller 1, 1081 HJ Amsterdam, The Netherlands.
| | - Margreet ten Have
- Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands
| | - Anton J van Balkom
- Department of Psychiatry, Amsterdam Public Health Institute, Vrije Universiteit Amsterdam and Amsterdam UMC, Amsterdam, The Netherlands,GGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands
| | - Ron de Graaf
- Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands
| | - Neeltje M Batelaan
- Department of Psychiatry, Amsterdam Public Health Institute, Vrije Universiteit Amsterdam and Amsterdam UMC, Amsterdam, The Netherlands,GGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands
| |
Collapse
|
105
|
North C, Marti CN, Loukas A. Longitudinal Impact of Depressive Symptoms and Peer Tobacco Use on the Number of Tobacco Products Used by Young Adults. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:11077. [PMID: 34769598 PMCID: PMC8582828 DOI: 10.3390/ijerph182111077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 10/14/2021] [Accepted: 10/19/2021] [Indexed: 11/17/2022]
Abstract
We examined the role of depressive symptoms in the longitudinal trajectory of the number of tobacco products used across young adulthood, ages 18-30 years, and whether peer tobacco use exacerbated the effects of the depressive symptoms. Participants were 4534 initially 18-25-year-old young adults in the Marketing and Promotions Across Colleges in Texas project (Project M-PACT), which collected data across a 4.5-year period from 2014 to 2019. Growth curve modeling within an accelerated design was used to test study hypotheses. Elevated depressive symptoms were associated with a greater number of tobacco products used concurrently and at least six months later. The number of tobacco-using peers moderated the association between depressive symptoms and the number of tobacco products trajectory. Young adults with elevated depressive symptoms used a greater number of tobacco products but only when they had a greater number of tobacco-using peers. Findings indicate that not all young adults with depressive symptoms use tobacco. Having a greater number of tobacco-using peers may facilitate a context that both models and encourages tobacco use. Therefore, tobacco prevention programs should aim to include peer components, especially for young adults.
Collapse
Affiliation(s)
| | | | - Alexandra Loukas
- Department of Kinesiology & Health Education, University of Texas at Austin, Austin, TX 78712, USA; (C.N.); (C.N.M.)
| |
Collapse
|
106
|
Clark AE, Goodwin SR, Marks RM, Belcher AM, Heinlein E, Bennett ME, Roche DJ. A Narrative Literature Review of the Epidemiology, Etiology, and Treatment of Co-Occurring Panic Disorder and Opioid Use Disorder. J Dual Diagn 2021; 17:313-332. [PMID: 34582313 PMCID: PMC9487392 DOI: 10.1080/15504263.2021.1965407] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
OBJECTIVE Panic disorder is a debilitating psychiatric disorder that often co-occurs with substance use disorders. Given the current opioid epidemic, the high reported rates of comorbid panic disorder and opioid use disorder are particularly concerning. In this narrative review, we describe the literature on panic disorder and opioid use disorder co-occurrence. METHODS 86 studies, 26 reviews, 2 commentaries, and 5 guidelines pertaining to opioid use disorder, panic disorder, and their comorbidity were identified using all EBSCO databases, PubMed, and Google Scholar. RESULTS First, we review epidemiological literature on the prevalence of the comorbid condition above and beyond each disorder on its own. Additionally, we discuss the challenges that complicate the differential diagnosis of panic disorder and opioid use disorder and contribute to difficulties establishing rates of comorbidity. Second, we review three theoretical models that have been proposed to explain high rates of co-occurring panic disorder and opioid use disorder: the precipitation hypothesis, the self-medication hypothesis, and the shared vulnerability hypothesis. Third, we outline how co-occurring panic and opioid use disorder may impact treatment for each condition. CONCLUSION Based on findings in the field, we provide recommendations for future research as well as treatment considerations for co-occurring panic and opioid use disorders.
Collapse
Affiliation(s)
- Ashton E. Clark
- Department of Psychiatry, University of Maryland, Baltimore, Baltimore, MD, United States
| | - Shelby R. Goodwin
- Department of Psychiatry, University of Maryland, Baltimore, Baltimore, MD, United States
| | - Russell M. Marks
- Department of Psychiatry, Baltimore VA Medical Center, Baltimore, MD, United States
| | - Annabelle M. Belcher
- Department of Psychiatry, University of Maryland, Baltimore, Baltimore, MD, United States
| | - Emily Heinlein
- Department of Psychiatry, University of Maryland, Baltimore, Baltimore, MD, United States
| | - Melanie E. Bennett
- Department of Psychiatry, University of Maryland, Baltimore, Baltimore, MD, United States
- Department of Psychiatry, Baltimore VA Medical Center, Baltimore, MD, United States
| | - Daniel J.O. Roche
- Department of Psychiatry, University of Maryland, Baltimore, Baltimore, MD, United States
| |
Collapse
|
107
|
Aharonovich E, Scodes J, Wall MM, Hasin DS. The relationship of frequency of cocaine use to substance and psychiatric disorders in the U.S. general population. Drug Alcohol Depend 2021; 227:108933. [PMID: 34358768 PMCID: PMC8464522 DOI: 10.1016/j.drugalcdep.2021.108933] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 06/21/2021] [Accepted: 06/23/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND In clinical trials of pharmacotherapy for substance use, abstinence is the primary endpoint accepted by regulatory agencies. However, this endpoint could be overly restrictive, impeding efforts to identify effective medications for cocaine use disorder. To examine non-abstinent gradations in cocaine use as potential indicators of improvement, we investigated the relationship of frequency of cocaine use to clinical correlates in national survey data. METHODS Lifetime cocaine users (n = 2501) were interviewed in the National Epidemiological Survey on Alcohol and Related Conditions (NESARC) in 2001-2002 and re-interviewed in 2004-2005. Adjusted odds ratios (aORs) indicated associations between heaviest frequency of cocaine use and use of other substances, DSM-IV substance use disorders, psychiatric disorders, and change between 2001-2002 and 2004-2005. The reference category for all aORs was non-users. RESULTS Greater lifetime cocaine use frequency was associated with lifetime cocaine, alcohol, and cannabis dependence (aOR for a linear trend = 2.80, 1.22, 1.22, respectively) and past-year cocaine, alcohol, and cannabis dependence (aOR = 1.78, 1.13, 1.16, respectively). Greater lifetime cocaine use frequency was associated with past-year depressive, panic, and generalized anxiety disorders (aOR = 1.07, 1.09, 1.12, respectively). Among cocaine users in 2001-2002, compared to the reference group using less than monthly, use ≥1x/week and use 1-3 times a month was associated with cocaine use disorder in 2004-2005 (aOR = 2.13 and aOR = 1.67, respectively). CONCLUSION Gradations in risk for dependence on cocaine, other substances and psychiatric disorders by frequency of cocaine use indicates a promising direction for more sensitive outcome measures of treatment effects on cocaine outcomes than binary indicators (e.g., any use vs. none). Study results add to findings suggesting that non-abstinent measures might be useful indicators of treatment efficacy in clinical trials.
Collapse
Affiliation(s)
- Efrat Aharonovich
- Department of Psychiatry, Columbia University Medical Center, New York, NY, USA; New York State Psychiatric Institute, New York, NY, USA.
| | | | - Melanie M Wall
- Department of Psychiatry, Columbia University Medical Center, New York, NY, USA; New York State Psychiatric Institute, New York, NY, USA; Department of Biostatistics, Columbia University Medical Center, New York, NY, USA
| | - Deborah S Hasin
- Department of Psychiatry, Columbia University Medical Center, New York, NY, USA; New York State Psychiatric Institute, New York, NY, USA; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| |
Collapse
|
108
|
Ljubic N, Ueberberg B, Grunze H, Assion HJ. Treatment of bipolar disorders in older adults: a review. Ann Gen Psychiatry 2021; 20:45. [PMID: 34548077 PMCID: PMC8456640 DOI: 10.1186/s12991-021-00367-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 09/04/2021] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Old age bipolar disorder has been an orphan of psychiatric research for a long time despite the fact that bipolar disorder (BD)-I and II together may affect 0.5-1.0% of the elderly. It is also unclear whether aetiology, course of illness and treatment should differ in patients with a first manifestation in older age and patients suffering from a recurrence of a BD known for decades. This narrative review will summarize the current state of knowledge about the epidemiology, clinical features, and treatment of BD in the elderly. METHODS We conducted a Medline literature search from 1970 to 2021 using MeSH terms "Bipolar Disorder" × "Aged" or "Geriatric" or "Elderly". Search results were complemented by additional literature retrieved from examining cross references and by hand search in text books. Varying cut-off ages have been applied to differentiate old age from adult age BD. Within old age BD, there is a reasonable agreement of distinct entities, early and late-onset BD. They differ to some extent in clinical symptoms, course of illness, and some co-morbidities. Point prevalence of BD in older adults appears slightly lower than in working-age adults, with polarity of episodes shifting towards depression. Psychopharmacological treatment needs to take into account the special aspects of somatic gerontology and the age-related change of pharmacokinetic and pharmacodynamic characteristics. The evidence for commonly used treatments such as lithium, mood-stabilizing antiepileptics, antipsychotics, and antidepressants remains sparse. Preliminary results support a role of ECT as well as psychotherapy and psychosocial interventions in old age BD. CONCLUSIONS There is an obvious need of further research for all treatment modalities of BD in old age. The focus should be pharmacological and psychosocial approaches, as well as their combination, and the role of physical treatment modalities such as ECT.
Collapse
Affiliation(s)
- Nemanja Ljubic
- Bereich Forschung & Wissenschaft, LWL-Klinik, Marsbruchstr. 179, 44287, Dortmund, Germany
| | - Bianca Ueberberg
- Bereich Forschung & Wissenschaft, LWL-Klinik, Marsbruchstr. 179, 44287, Dortmund, Germany
| | - Heinz Grunze
- Psychiatrie Schwäbisch Hall, Ringstraße. 1, 74523, Schwäbisch Hall, Germany.
- Paracelsus Medical University, Ernst-Nathan Straße 1, 90419, Nuremberg, Germany.
| | - Hans-Jörg Assion
- Bereich Forschung & Wissenschaft, LWL-Klinik, Marsbruchstr. 179, 44287, Dortmund, Germany
| |
Collapse
|
109
|
Ignaszewski MJ. The Epidemiology of Drug Abuse. J Clin Pharmacol 2021; 61 Suppl 2:S10-S17. [PMID: 34396554 DOI: 10.1002/jcph.1937] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 07/02/2021] [Indexed: 01/12/2023]
Abstract
Many Americans use alcohol and recreational drugs. Some will develop substance use disorders that affect a person's brain and behavior, leading to continued use despite problems caused. We review the epidemiology of addiction in the United States, including changes in use patterns over time, highlighting rates in adolescents and young adults, as well as adults. An overview of the health and societal impacts of substance use is provided alongside the importance of multimodal, evidence-based treatment comprising psychosocial interventions and medication management. The article concludes by exploring the impact of the coronavirus disease 2019 pandemic on people who use drugs and their access to treatment.
Collapse
Affiliation(s)
- Martha J Ignaszewski
- Complex Pain and Addiction Service, Vancouver General Hospital, British Columbia Children's Hospital, and Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| |
Collapse
|
110
|
Batchelder AW, Stanton AM, Kirakosian N, King D, Grasso C, Potter J, Mayer KH, O'Cleirigh C. Mental Health and Substance Use Diagnoses and Treatment Disparities by Sexual Orientation and Gender in a Community Health Center Sample. LGBT Health 2021; 8:290-299. [PMID: 34080895 DOI: 10.1089/lgbt.2020.0293] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
Abstract
Purpose: This study assessed disparities in screener- and provider-identified mental health and substance use diagnoses and treatment attendance by sexual orientation and gender in an urban community health center focused on sexual and gender minority individuals. Methods: Using an electronic data query (October 2015 to October 2018), computerized screening results assessing likely depression, anxiety, alcohol use disorder (AUD), and substance use disorder (SUDs); provider diagnoses; and treatment initiation related to mental health and substance use were compared across sexual orientation (heterosexual, gay/lesbian, bisexual, and other) and gender categories (men and women, inclusive of cisgender and transgender individuals; N = 24,325). Results: Bisexual and other-identified individuals were more likely to screen positive for depression and anxiety, followed by gay/lesbian women, compared with heterosexual individuals and gay men (χ2 = 463.22, p < 0.001 and χ2 = 263.36, p < 0.001, respectively). Of those who screened positive for AUDs, women were less likely to be diagnosed by a professional (χ2 = 63.79, p < 0.001) and of those who screened positive for either alcohol or other SUDs, women were less likely to attend one or more substance use-related behavioral health appointments, regardless of sexual orientation (contingency coefficient = 0.14, p < 0.001). Conclusion: This community health center study identified a need for increased mental health services for bisexual and other-identified individuals and increased assessment and initiation of substance use treatment for women, including sexual minority women.
Collapse
Affiliation(s)
- Abigail W Batchelder
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA.,Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA.,The Fenway Institute, Fenway Health, Boston, Massachusetts, USA
| | - Amelia M Stanton
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA.,Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA.,The Fenway Institute, Fenway Health, Boston, Massachusetts, USA
| | - Norik Kirakosian
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA.,Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| | - Dana King
- The Fenway Institute, Fenway Health, Boston, Massachusetts, USA
| | - Chris Grasso
- The Fenway Institute, Fenway Health, Boston, Massachusetts, USA
| | - Jennifer Potter
- The Fenway Institute, Fenway Health, Boston, Massachusetts, USA
| | - Kenneth H Mayer
- The Fenway Institute, Fenway Health, Boston, Massachusetts, USA
| | - Conall O'Cleirigh
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA.,Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA.,The Fenway Institute, Fenway Health, Boston, Massachusetts, USA
| |
Collapse
|
111
|
Fischer AR, Green SRM, Gunn HE. Social-ecological considerations for the sleep health of rural mothers. J Behav Med 2021; 44:507-518. [PMID: 33083923 PMCID: PMC7574991 DOI: 10.1007/s10865-020-00189-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2020] [Accepted: 09/30/2020] [Indexed: 02/03/2023]
Abstract
Using a social-ecological framework, we identify social determinants that interact to influence sleep health, identify gaps in the literature, and make recommendations for targeting sleep health in rural mothers. Rural mothers experience unique challenges and protective factors in maintaining adequate sleep health during the postpartum and early maternal years. Geographic isolation, barriers to comprehensive behavioral medicine services, and intra-rural ethno-racial disparities are discussed at the societal (e.g., public policy), social (e.g., community) and individual levels (e.g., stress) of the social-ecological model. Research on sleep health would benefit from attention to methodological considerations of factors affecting rural mothers such as including parity in population-level analyses or applying community-based participatory research principles. Future sleep health programs would benefit from using existing social support networks to disseminate sleep health information, integrating behavioral health services into clinical care frameworks, and tailoring culturally-appropriate Telehealth/mHealth programs to enhance the sleep health of rural mothers.
Collapse
Affiliation(s)
- Alexandra R Fischer
- Department of Psychology, University of Alabama, Box 87034, Tuscaloosa, AL, 35487, USA
| | | | - Heather E Gunn
- Department of Psychology, University of Alabama, Box 87034, Tuscaloosa, AL, 35487, USA.
| |
Collapse
|
112
|
Greene MC, Yangchen T, Lehner T, Sullivan PF, Pato CN, McIntosh A, Walters J, Gouveia LC, Msefula CL, Fumo W, Sheikh TL, Stockton MA, Wainberg ML, Weissman MM. The epidemiology of psychiatric disorders in Africa: a scoping review. Lancet Psychiatry 2021; 8:717-731. [PMID: 34115983 PMCID: PMC9113063 DOI: 10.1016/s2215-0366(21)00009-2] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 01/07/2021] [Accepted: 01/08/2021] [Indexed: 01/12/2023]
Abstract
This scoping review of population-based epidemiological studies was done to provide background information on the prevalences and distribution of psychiatric disorders in Africa for calls to broaden diversity in psychiatric genetic studies. We searched PubMed, EMBASE, and Web of Science to retrieve relevant literature in English, French, and Portuguese from Jan 1, 1984, to Aug 18, 2020. In 36 studies from 12 African countries, the lifetime prevalence ranged from 3·3% to 9·8% for mood disorders, from 5·7% to 15·8% for anxiety disorders, from 3·7% to 13·3% for substance use disorders, and from 1·0% to 4·4% for psychotic disorders. Although the prevalence of mood and anxiety disorders appears to be lower than that observed in research outside the continent, we identified similar distributions by gender, although not by age or urbanicity. This review reveals gaps in epidemiological research on psychiatric disorders and opportunities to leverage existing epidemiological and genetic research within Africa to advance our understanding of psychiatric disorders. Studies that are methodologically comparable but diverse in geographical context are needed to advance psychiatric epidemiology and provide a foundation for understanding environmental risk in genetic studies of diverse populations globally.
Collapse
Affiliation(s)
- M Claire Greene
- Program on Forced Migration and Health, Heilbrunn Department of Population and Family Health, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Tenzin Yangchen
- Division of Translational Epidemiology, Department of Psychiatry, New York State Psychiatric Institute, New York, NY, USA
| | - Thomas Lehner
- New York Genome Center, New York, NY, USA; Division of Molecular Imaging and Neuropathology, New York State Psychiatric Institute, New York, NY, USA
| | - Patrick F Sullivan
- Center for Psychiatric Genomics, Department of Genetics, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Carlos N Pato
- Institute for Genomic Health, SUNY Downstate, Health Science University, Brooklyn, NY, USA
| | - Andrew McIntosh
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - James Walters
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Lidia C Gouveia
- Department of Mental Health, Ministry of Health-Mozambique, Maputo, Mozambique
| | - Chisomo L Msefula
- Pathology Department, College of Medicine, University of Malawi, Chichiri, Blantyre, Malawi
| | - Wilza Fumo
- Department of Mental Health, Ministry of Health-Mozambique, Maputo, Mozambique
| | - Taiwo L Sheikh
- Department of Psychiatry, College of Medical Sciences, Ahmadu Bello University, Zaria, Nigeria
| | - Melissa A Stockton
- Division of Translational Epidemiology, Department of Psychiatry, New York State Psychiatric Institute, New York, NY, USA; Columbia University Vagelos College of Physicians and Surgeons; New York State Psychiatric Institute, New York, NY, USA
| | - Milton L Wainberg
- Division of Translational Epidemiology, Department of Psychiatry, New York State Psychiatric Institute, New York, NY, USA; Columbia University Vagelos College of Physicians and Surgeons; New York State Psychiatric Institute, New York, NY, USA
| | - Myrna M Weissman
- Division of Translational Epidemiology, Department of Psychiatry, New York State Psychiatric Institute, New York, NY, USA; Columbia University Vagelos College of Physicians and Surgeons; New York State Psychiatric Institute, New York, NY, USA.
| |
Collapse
|
113
|
Blondino CT, Clifford JS, Lu J, Prom-Wormley EC. The association between internalizing and externalizing severity with current use of cigarettes, e-cigarettes, and alcohol in adults: Wave 1 of the Population Assessment of Tobacco and Health (PATH) study. Addict Behav 2021; 119:106890. [PMID: 33901812 PMCID: PMC9294613 DOI: 10.1016/j.addbeh.2021.106890] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 01/26/2021] [Accepted: 02/23/2021] [Indexed: 12/14/2022]
Abstract
INTRODUCTION Concurrent tobacco/alcohol use is common in adults, and associated with the severity of symptoms experienced by those with mental health disorders. However, few studies have explored this relationship across different combinations of tobacco products [i.e., conventional cigarette (CC) and electronic cigarette (EC)] and alcohol. METHODS Data from the Wave 1 (2013-2014) Population Assessment of Tobacco and Health study were used. A total of 15,947 adults aged 18 years or older with complete study information were included. Multinomial logistic regression analyses were performed to determine the relationship between lifetime internalizing/externalizing severity and past 30-day use of tobacco and alcohol, adjusting for nicotine dependence (ND), sex, age, race, education, and income. RESULTS Internalizing severity was more strongly associated with CC and alcohol use (moderate AOR = 1.47, 95% CI = 1.22-1.77; high AOR = 1.29, 95% CI = 1.03-1.61) as well as alcohol-exclusive use (moderate AOR = 1.58, 95% CI = 1.27-1.96; high AOR = 1.31, 95% CI = 1.05-1.64) while externalizing severity was more strongly associated with EC and alcohol use (high AOR = 2.97, 95% CI = 1.84-4.81, moderate AOR = 2.29, 95% CI = 1.53-3.43) when accounting for ND compared to none. The relationship between externalizing severity with EC use was dependent on alcohol being used with EC. CONCLUSIONS The associations between psychopathology (internalizing vs. externalizing severity) varies by different combinations of alcohol, CC, and EC. Further, these relationships may be mediated through ND. Future investigations into the comorbidity between mental disorder symptoms with tobacco and alcohol use should consider use of specific substances as well as their combination.
Collapse
Affiliation(s)
- Courtney T Blondino
- Division of Epidemiology, Department of Family Medicine and Population Health, Virginia Commonwealth University School of Medicine, 830 East Main Street, PO Box 980212, Richmond, VA 23298-0212, USA.
| | - James S Clifford
- Division of Epidemiology, Department of Family Medicine and Population Health, Virginia Commonwealth University School of Medicine, 830 East Main Street, PO Box 980212, Richmond, VA 23298-0212, USA
| | - Juan Lu
- Division of Epidemiology, Department of Family Medicine and Population Health, Virginia Commonwealth University School of Medicine, 830 East Main Street, PO Box 980212, Richmond, VA 23298-0212, USA
| | - Elizabeth C Prom-Wormley
- Division of Epidemiology, Department of Family Medicine and Population Health, Virginia Commonwealth University School of Medicine, 830 East Main Street, PO Box 980212, Richmond, VA 23298-0212, USA
| |
Collapse
|
114
|
Bonar EE, Chapman L, McAfee J, Goldstick JE, Bauermeister JA, Carter PM, Young SD, Walton MA. Perceived impacts of the COVID-19 pandemic on cannabis-using emerging adults. Transl Behav Med 2021; 11:1299-1309. [PMID: 33904925 PMCID: PMC8135484 DOI: 10.1093/tbm/ibab025] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Cannabis-using youth are a large epidemiologic subgroup whose age and smoking-related risks underscore the importance of examining the impact of the COVID-19 pandemic in this population. Within a clinical trial (n = 36 received an intervention prior to data collection reported herein), we surveyed cannabis-using emerging adults (ages 18-25) about perceived COVID-19 impacts. Participants (n = 141) reporting weekly cannabis use (M = 18.6 use days in the past 30) were enrolled and completed online surveys as part of either their baseline or 3 month assessment. COVID-19-related measures included symptoms, substance use, mood, etc. Participants were 57% female (mean age = 21, standard deviation = 2.2), with 21% Hispanic/Latinx, 70% White, 20% Black/African American, and 10% of other races. Most participants (86%) reported quarantine/self-isolation (M = 59 days). Several had COVID-19 symptoms (16%), but none reported testing COVID-19 positive. Many respondents felt their cannabis use (35%-50%, across consumption methods) and negative emotions (e.g., loneliness, stress, and depression; 69.5%, 69.5%, and 61.8%, respectively) increased. They reported decreased in-person socialization (90.8%) and job losses (23.4%). Reports of increased cannabis smoking were associated with increased negative emotions. On an open-response item, employment/finances and social isolation were frequently named negative impacts (33.3% and 29.4%, respectively). Although cannabis-using emerging adults' reports of increases in cannabis use, coupled with mental health symptoms and social isolation, are concerning, the full impact of the pandemic on their health and well-being remains unknown. Future studies examining the relationship between social isolation, mental health, and cannabis use among young people are needed.
Collapse
Affiliation(s)
- Erin E Bonar
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
- Addiction Center, University of Michigan, Ann Arbor, MI, USA
- Injury Prevention Center, University of Michigan, Ann Arbor, MI, USA
| | - Lyndsay Chapman
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
- Addiction Center, University of Michigan, Ann Arbor, MI, USA
| | - Jenna McAfee
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI, USA
| | - Jason E Goldstick
- Injury Prevention Center, University of Michigan, Ann Arbor, MI, USA
- Department of Emergency Medicine, University of Michigan School of Medicine, Ann Arbor, MI, USA
- Department of Health Behavior and Health Education, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - José A Bauermeister
- Department of Family and Community Health, School of Nursing, University of Pennsylvania, Philadelphia, PA, USA
| | - Patrick M Carter
- Injury Prevention Center, University of Michigan, Ann Arbor, MI, USA
- Department of Emergency Medicine, University of Michigan School of Medicine, Ann Arbor, MI, USA
- Department of Health Behavior and Health Education, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Sean D Young
- Department of Informatics, Donald Bren School of Information and Computer Sciences, University of California Irvine, Irvine, CA, USA
- Department of Emergency Medicine, School of Medicine, University of California Irvine, Irvine, CA, USA
| | - Maureen A Walton
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
- Addiction Center, University of Michigan, Ann Arbor, MI, USA
- Injury Prevention Center, University of Michigan, Ann Arbor, MI, USA
| |
Collapse
|
115
|
Gender Differences in Psychiatric and Behavioral Health Burden Among Adults With Alcohol and Other Substance Use Disorders in the United States. J Addict Med 2021; 16:295-302. [PMID: 34310435 DOI: 10.1097/adm.0000000000000890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVES Studies report that women with opioid use disorder experience more comorbid psychiatric disorders and behavioral health burdens than men. We broadened the study of this phenomenon to alcohol use disorder (AUD) and other substance use disorders (SUDs) using national epidemiologic data. METHODS Data from the National Epidemiological Survey on Alcohol and Related Conditions Wave-III identified 2491 women and 3317 men with DSM-5 AUD or SUDs, and 30,501 men and women without such disorders. Women and men with AUD and SUDs were compared to those without such disorders on 22 measures of DSM-5 psychiatric disorders and behavioral histories (eg, incarceration and suicide attempt). The interaction of female sex and AUD in relation to these measures was evaluated and we repeated analyses for SUDs. RESULTS Separate analyses of female and male adults with and without AUD or SUDs showed AUD and SUDs in both sexes were strongly associated with psychiatric disorders and behavioral histories. In pooled analyses, the interaction of female sex and AUD showed women with AUD had significantly greater likelihood than men of: borderline personality disorder, pain; parental history of incarceration; traumatic events; incarceration; and lifetime homelessness (P < 0.05 for all), but not for psychiatric diagnoses. Interaction of female sex with SUDs showed women had increased likelihood of all personality disorders, traumatic events, and past incarceration (P < 0.05 for all). CONCLUSIONS Certain personality disorders and behavioral histories, but not psychiatric diagnoses, may play a distinct role in leading to SUDs among women when compared to men.
Collapse
|
116
|
Mersky JP, Choi C, Plummer Lee C, Janczewski CE. Disparities in adverse childhood experiences by race/ethnicity, gender, and economic status: Intersectional analysis of a nationally representative sample. CHILD ABUSE & NEGLECT 2021; 117:105066. [PMID: 33845239 DOI: 10.1016/j.chiabu.2021.105066] [Citation(s) in RCA: 103] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 03/30/2021] [Accepted: 04/02/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Adverse childhood experiences (ACEs) are disturbingly common and consequential. Priority should be given to identifying populations that bear a disproportionate share of the burden of ACEs, but such disparities have received limited attention to date. OBJECTIVE This study analyzes data from the National Longitudinal Study of Adolescent to Adult Health, a nationally representative sample in the U.S., to explore variation in ACEs by race/ethnicity, economic status, and gender. METHODS In addition to using conventional statistical methods to generate unadjusted and adjusted estimates, we conduct an intercategorical intersectional analysis of variation in ACEs using multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA). RESULTS Descriptively, we find that ACEs are more prevalent overall among the poor than the non-poor, among most racial/ethnic minority groups than non-Hispanic Whites, and among females than males. However, multivariate regression results indicate that gender is not a robust correlate of cumulative adversity and that economic status moderates racial/ethnic differences. MAIHDA models further expose heterogeneity in aggregate ACE scores between intersectional strata representing unique combinations of gender, race/ethnicity, and economic status. CONCLUSIONS The MAIHDA results confirm that conclusions based on unadjusted group differences may be spurious. While most variance in ACE scores is explained by additive main effects, accounting for intersections among social categories generates a more complex portrait of inequality. We compare our work to prior studies and discuss potential explanations for and implications of these findings for research on disparities.
Collapse
Affiliation(s)
- Joshua P Mersky
- Institute for Child and Family Well-Being, Helen Bader School of Social Welfare, University of Wisconsin-Milwaukee, Milwaukee, WI, United States.
| | - Changyong Choi
- Institute for Child and Family Well-Being, Helen Bader School of Social Welfare, University of Wisconsin-Milwaukee, Milwaukee, WI, United States
| | - ChienTi Plummer Lee
- Institute for Child and Family Well-Being, Helen Bader School of Social Welfare, University of Wisconsin-Milwaukee, Milwaukee, WI, United States
| | - Colleen E Janczewski
- Institute for Child and Family Well-Being, Helen Bader School of Social Welfare, University of Wisconsin-Milwaukee, Milwaukee, WI, United States
| |
Collapse
|
117
|
Abstract
OBJECTIVE The authors examined changes in buprenorphine treatment following Medicaid expansion, including the contribution of Medicaid-financed prescriptions. METHODS Buprenorphine pharmacy claims for patients were identified in the 2012-2018 IQVIA Longitudinal Prescription Data (LRx) data set, including 79.8% of U.S. retail prescriptions in 2012, increasing to 92.0% in 2018. A cohort analysis was used to assess the mean number of patients in a yearly quarter filling one or more buprenorphine prescriptions during preexpansion (2012-2013) and postexpansion (2014-2018) periods in expansion and nonexpansion states. Interrupted time-series analysis estimated associations of Medicaid expansion period with change in Medicaid-financed treatment. Separate analyses evaluated changes in duration and dose of new treatment episodes focused on mean quarterly number of patients treated with buprenorphine and proportions of new treatment episodes ≥180 days long and with ≥16 mg/day. RESULTS Between preexpansion and postexpansion, the mean quarterly number of patients taking buprenorphine increased by 93,300 in expansion states and by 84,960 in nonexpansion states. Corresponding changes for Medicaid-financed patients were 28,760 and 4,050, respectively. The fastest growth in Medicaid-financed treatment occurred among patients ages 25-44. Among new Medicaid-financed treatment episodes, little change was found in the proportion reaching the 180-day threshold, and declines were observed in the proportion receiving ≥16 mg/day. CONCLUSIONS The findings are consistent with previous research indicating that Medicaid expansion has increased Medicaid-financed buprenorphine treatment. However, because of offsetting changes in other payment groups, the overall increase in expansion states was similar to the increase in nonexpansion states.
Collapse
Affiliation(s)
- Mark Olfson
- Vagelos College of Physicians and Surgeons and Mailman School of Public Health, Columbia University, New York City (Olfson); School of Management, Yale University, New Haven, Connecticut (Zhang, King); Bloomberg School of Public Health, Johns Hopkins University, Baltimore (Mojtabai)
| | - Victoria Shu Zhang
- Vagelos College of Physicians and Surgeons and Mailman School of Public Health, Columbia University, New York City (Olfson); School of Management, Yale University, New Haven, Connecticut (Zhang, King); Bloomberg School of Public Health, Johns Hopkins University, Baltimore (Mojtabai)
| | - Marissa King
- Vagelos College of Physicians and Surgeons and Mailman School of Public Health, Columbia University, New York City (Olfson); School of Management, Yale University, New Haven, Connecticut (Zhang, King); Bloomberg School of Public Health, Johns Hopkins University, Baltimore (Mojtabai)
| | - Ramin Mojtabai
- Vagelos College of Physicians and Surgeons and Mailman School of Public Health, Columbia University, New York City (Olfson); School of Management, Yale University, New Haven, Connecticut (Zhang, King); Bloomberg School of Public Health, Johns Hopkins University, Baltimore (Mojtabai)
| |
Collapse
|
118
|
Shmulewitz D, Aharonovich E, Witkiewitz K, Anton RF, Kranzler HR, Scodes J, Mann KF, Wall MM, Hasin D. The World Health Organization Risk Drinking Levels Measure of Alcohol Consumption: Prevalence and Health Correlates in Nationally Representative Surveys of U.S. Adults, 2001-2002 and 2012-2013. Am J Psychiatry 2021; 178:548-559. [PMID: 33472388 PMCID: PMC8222066 DOI: 10.1176/appi.ajp.2020.20050610] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
OBJECTIVE Little is known about change over time in the prevalence of World Health Organization (WHO) risk drinking levels (very high, high, moderate, low) and their association with health conditions, overall and by gender. The authors used two sets of nationally representative U.S. survey data to determine whether changes over time varied by gender and to examine whether health conditions related to alcohol were associated with WHO risk drinking level within each survey, and whether these associations differed by gender. METHODS Data on current drinkers from the 2001-2002 National Epidemiologic Survey on Alcohol and Related Conditions (NESARC; N=26,655) and the 2012-2013 NESARC-III (N=25,659) were analyzed using logistic regression. Prevalence differences between surveys were estimated for each drinking level overall and by gender. Within each survey, prevalence differences by WHO risk drinking level were estimated for alcohol use disorder (AUD), drug use disorders, functional impairment, liver disease, and depressive and anxiety disorders. RESULTS In the 2012-2013 survey, the prevalences of moderate, high, and very high risk drinking were 5.9%, 3.2%, and 3.5%, respectively, representing significant increases from the prevalences in the 2001-2002 survey, which were 1.0%, 0.6%, and 0.9%, respectively. The increase for very high risk drinking among men (0.5%) was smaller than the increase among women (1.4%). Within both surveys, compared with low risk, health conditions were significantly associated with very high risk (range of prevalence differences, 2.2%-57.8%), high risk (2.6%-41.3%), and moderate risk (0.6%-29.8%) drinking. Associations were similar by gender, except that there were stronger effects for AUD in men and for functional impairment and depressive and anxiety disorders in women. CONCLUSIONS The increase in potentially problematic drinking levels among U.S. adults emphasizes the need for better prevention and treatment strategies. The study results support the validity of the WHO risk drinking levels, which show clinical utility as nonabstinent drinking reduction treatment goals. Such goals could engage more people in treatment, improving public health by decreasing personal and societal consequences of risk drinking.
Collapse
Affiliation(s)
- Dvora Shmulewitz
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA
| | - Efrat Aharonovich
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA
| | - Katie Witkiewitz
- Department of Psychology, University of New Mexico, Albuquerque, NM, USA
| | - Raymond F Anton
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - Henry R Kranzler
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA,Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania
| | | | - Karl F Mann
- Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Melanie M Wall
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA,Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Deborah Hasin
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA,Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | -
- Department of Psychiatry, Columbia University Irving Medical Center, New York (Shmulewitz, Aharonovich, Wall, Hasin); New York State Psychiatric Institute, New York (Shmulewitz, Aharonovich, Scodes, Wall, Hasin); Department of Psychology, University of New Mexico, Albuquerque (Witkiewitz); Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston (Anton); Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia (Kranzler); Crescenz Veterans Affairs Medical Center, Philadelphia (Kranzler); Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (Mann); Department of Biostatistics (Wall) and Department of Epidemiology (Hasin), Mailman School of Public Health, Columbia University, New York
| |
Collapse
|
119
|
Fraser ER, Hill-Kapturczak N, Jett J, Beck R, Oluwoye O, Kriegel LS, Alcover KC, McPherson S, Cabassa LJ, Javors M, McDonell MG. Mixed-methods trial of a phosphatidylethanol-based contingency management intervention to initiate and maintain alcohol abstinence in formerly homeless adults with alcohol use disorders. Contemp Clin Trials Commun 2021; 22:100757. [PMID: 33763620 PMCID: PMC7973861 DOI: 10.1016/j.conctc.2021.100757] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 01/27/2021] [Accepted: 03/01/2021] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Contingency management (CM) is an intervention where incentives are provided in exchange for biochemically confirmed alcohol abstinence. CM is effective at initiating alcohol abstinence, but it is less effective at maintaining long-term abstinence. Phosphatidylethanol (PEth), collected via a finger-stick, can detect alcohol use for 14-28 days. PEth allows for the development of a CM model that includes increasingly less frequent monitoring of abstinence to assist high risk groups, such as formerly homeless individuals, maintain long-term abstinence. AIMS Investigate whether PEth-based CM intervention targeting alcohol abstinence in formerly homeless, currently housed individuals with alcohol use disorders is: (1) acceptable and feasible for housing program tenants and personnel; and is associated with increased (2) alcohol abstinence and (3) housing tenure. METHODS Acceptability and feasibility will be assessed using a QUAL+quant mixed-methods design using qualitative interviews and quantitative measures of satisfaction and attrition. Effectiveness will be evaluated through a randomized pilot trial of 50 study participants who will receive 6 months of either treatment as usual (TAU) including incentives (e.g., gift cards) for providing blood samples (Control Condition) or TAU and incentives for negative PEth results (PEth-CM Condition). Outcomes will be assessed during the intervention and at a three-month follow-up visit. The trial will be conducted via telehealth as a result of COVID-19. DISCUSSION This protocol seeks to utilize a novel alcohol biomarker to evaluate the acceptability, feasibility, and initial effectiveness of a CM model that encourages long-term abstinence in a high-risk group.
Collapse
Affiliation(s)
- Elizabeth R. Fraser
- Behavioral Health Innovations, Washington State University, Spokane, WA, USA
| | - Nathalie Hill-Kapturczak
- Biological Psychiatry Analytical Lab, University of Texas Health San Antonio, San Antonio, TX, USA
| | - Julianne Jett
- Behavioral Health Innovations, Washington State University, Spokane, WA, USA
- Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, USA
| | - Rachael Beck
- Behavioral Health Innovations, Washington State University, Spokane, WA, USA
| | - Oladunni Oluwoye
- Behavioral Health Innovations, Washington State University, Spokane, WA, USA
- Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, USA
| | - Liat S. Kriegel
- Behavioral Health Innovations, Washington State University, Spokane, WA, USA
- Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, USA
| | - Karl C. Alcover
- Department of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Sterling McPherson
- Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, USA
| | - Leopoldo J. Cabassa
- Brown School of Social Work, Washington University in St. Louis, St. Louis, MO, USA
| | - Martin Javors
- Biological Psychiatry Analytical Lab, University of Texas Health San Antonio, San Antonio, TX, USA
| | - Michael G. McDonell
- Behavioral Health Innovations, Washington State University, Spokane, WA, USA
- Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, USA
| |
Collapse
|
120
|
Icick R, Gard S, M'Bailara K, Biseul I, Samalin L, Brousse G, Flaudias V, Llorca PM, Loftus J, Cussac I, Aubin V, Schwan R, Roux P, Polosan M, Courtet P, Olié E, Henry C, Mazer N, Haffen E, Etain B, Leboyer M, Bellivier F, Belzeaux R, Godin O, Guillaume S. The course of bipolar disorder as a function of the presence and sequence of onset of comorbid alcohol use disorders in outpatients attending the Fondamental Advanced Centres of Expertise. J Affect Disord 2021; 287:196-203. [PMID: 33799038 DOI: 10.1016/j.jad.2021.03.041] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 03/11/2021] [Accepted: 03/15/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVES The comorbidity of alcohol use disorder (AUD) and bipolar disorder (BD) has been repeatedly associated with poorer clinical outcomes than BD without AUD. We aimed to extend these findings by focusing on the characteristics associated with the sequence of onset of BD and AUD. METHODS 3,027 outpatients from the Fondamental Advanced Centres of Expertise were ascertained for BD-1, BD-2 and AUD diagnoses, including their respective ages at onset (AAOs, N =2,804). We selected the variables associated with both the presence and sequence of onset of comorbid AUD using bivariate analyses corrected for multiple testing to enter a binary regression model with the sequence of onset of BD and AUD as the dependent variable (AUD first - which also included 88 same-year onsets, vs. BD first). RESULTS BD patients with comorbid AUD showed more severe clinical profile than those without. Compared to BD-AUD (N =269), AUD-BD (N =276) was independently associated with a higher AAO of BD (OR =1.1, p <0.001), increased prevalence of comorbid cannabis use disorder (OR =2.8, p <0.001) a higher number of (hypo)manic/mixed BD episodes per year of bipolar illness (OR =3, p <0.01). LIMITATIONS The transversal design prevents from drawing causal conclusions. CONCLUSION Increased severity of BD with AUD compared to BD alone did not differ according to the sequence of onset. A few differences, though, could be used to better monitor the trajectory of patients showing either one of these disorders.
Collapse
Affiliation(s)
- Romain Icick
- Fondation Fondamental, Créteil, France; AP-HP, GH Saint-Louis - Lariboisière - Fernand Widal, DMU Neurosciences, Département de psychiatrie et de Médecine Addictologique, Paris, France. Fédération Hospitalo-Universitaire 'FHU NOR-SUD'.; Université de Paris, UMR-S 1144, Paris, France.
| | - Sébastien Gard
- Fondation Fondamental, Créteil, France; Hôpital Charles Perrens, Centre Expert Trouble Bipolaire, Pôle de Psychiatrie Générale et Universitaire (3/4/7), Bordeaux, France
| | - Katia M'Bailara
- Fondation Fondamental, Créteil, France; Hôpital Charles Perrens, Centre Expert Trouble Bipolaire, Pôle de Psychiatrie Générale et Universitaire (3/4/7), Bordeaux, France
| | - Isabelle Biseul
- Fondation Fondamental, Créteil, France; AP-HP, GH Saint-Louis - Lariboisière - Fernand Widal, DMU Neurosciences, Département de psychiatrie et de Médecine Addictologique, Paris, France. Fédération Hospitalo-Universitaire 'FHU NOR-SUD'
| | - Ludovic Samalin
- Fondation Fondamental, Créteil, France; Department of Psychiatry, CHU Clermont-Ferrand, University of Clermont Auvergne, EA 7280, Clermont-Ferrand, France
| | - Georges Brousse
- Fondation Fondamental, Créteil, France; Department of Psychiatry, CHU Clermont-Ferrand, University of Clermont Auvergne, EA 7280, Clermont-Ferrand, France
| | - Valentin Flaudias
- Fondation Fondamental, Créteil, France; Department of Psychiatry, CHU Clermont-Ferrand, University of Clermont Auvergne, EA 7280, Clermont-Ferrand, France
| | - Pierre-Michel Llorca
- Fondation Fondamental, Créteil, France; Department of Psychiatry, CHU Clermont-Ferrand, University of Clermont Auvergne, EA 7280, Clermont-Ferrand, France
| | - Joséphine Loftus
- Fondation Fondamental, Créteil, France; Pôle de Psychiatrie, Centre Hospitalier Princesse Grace, Monaco
| | - Iréna Cussac
- Fondation Fondamental, Créteil, France; Pôle de Psychiatrie, Centre Hospitalier Princesse Grace, Monaco
| | - Valérie Aubin
- Fondation Fondamental, Créteil, France; Pôle de Psychiatrie, Centre Hospitalier Princesse Grace, Monaco
| | - Raymund Schwan
- Université de Lorraine, Inserm U1114, Centre Psychothérapique de Nancy, Nancy, France
| | - Paul Roux
- Fondation Fondamental, Créteil, France; Service Universitaire de Psychiatrie d'Adultes et d'Addictologie, Centre Hospitalier de Versailles, Le Chesnay, Université Paris-Saclay, UVSQ, Inserm, CESP, Team "DevPsy", 94807, Villejuif, France
| | - Mircea Polosan
- Fondation Fondamental, Créteil, France; Université Grenoble Alpes, CHU de Grenoble et des Alpes, Grenoble Institut des Neurosciences (GIN) Inserm U 1216, Grenoble, France
| | - Philippe Courtet
- Fondation Fondamental, Créteil, France; Department of Emergency Psychiatry and Acute Care, Lapeyronie Hospital, CHU Montpellier, Montpellier, France; PSNREC, Univ Montpellier, INSERM, CHU Montpellier, Montpellier, France
| | - Emilie Olié
- Fondation Fondamental, Créteil, France; Department of Emergency Psychiatry and Acute Care, Lapeyronie Hospital, CHU Montpellier, Montpellier, France; PSNREC, Univ Montpellier, INSERM, CHU Montpellier, Montpellier, France
| | - Chantal Henry
- Department of Psychiatry, Service Hospitalo-Universitaire, GHU Paris Psychiatrie & Neurosciences, F-75014, Paris, France
| | - Nicolas Mazer
- Fondation Fondamental, Créteil, France; AP-HP, Groupe Hospitalo-universitaire Nord, DMU ESPRIT, service de Psychiatrie et Addictologie. Hopital Louis Mourier, Colombes, Inserm U1266, Faculté de médecine, Université de Paris, France
| | - Emmanuel Haffen
- Fondation Fondamental, Créteil, France; Service de Psychiatrie de l'Adulte, Centres Experts FondaMental, Centre Investigation Clinique 1431-INSERM, EA 481 Neurosciences, Université de Franche Comté, Besançon, France
| | - Bruno Etain
- Fondation Fondamental, Créteil, France; AP-HP, GH Saint-Louis - Lariboisière - Fernand Widal, DMU Neurosciences, Département de psychiatrie et de Médecine Addictologique, Paris, France. Fédération Hospitalo-Universitaire 'FHU NOR-SUD'.; Université de Paris, UMR-S 1144, Paris, France
| | - Marion Leboyer
- Fondation Fondamental, Créteil, France; Université Paris Est Créteil, Inserm U955, IMRB, Laboratoire Neuro-Psychiatrie translationnelle, F-94010, Créteil, France - AP-HP, HU Henri Mondor, Département Medico-Universitaire de Psychiatrie et d'Addictologie (DMU ADAPT), Fédération Hospitalo-Universitaire de Médecine de Precision (FHU IMPACT) F-94010, France
| | - Frank Bellivier
- Fondation Fondamental, Créteil, France; AP-HP, GH Saint-Louis - Lariboisière - Fernand Widal, DMU Neurosciences, Département de psychiatrie et de Médecine Addictologique, Paris, France. Fédération Hospitalo-Universitaire 'FHU NOR-SUD'.; Université de Paris, UMR-S 1144, Paris, France
| | - Raoul Belzeaux
- Fondation Fondamental, Créteil, France; Pôle de Psychiatrie, Assistance Publique Hôpitaux de Marseille, Marseille, France, INT-UMR7289, CNRS Aix-Marseille Université, Marseille, France
| | - Ophélia Godin
- Fondation Fondamental, Créteil, France; Université Paris Est Créteil, Inserm U955, IMRB, Laboratoire Neuro-Psychiatrie translationnelle, F-94010, Créteil, France - AP-HP, HU Henri Mondor, Département Medico-Universitaire de Psychiatrie et d'Addictologie (DMU ADAPT), Fédération Hospitalo-Universitaire de Médecine de Precision (FHU IMPACT) F-94010, France
| | - Sébastien Guillaume
- Fondation Fondamental, Créteil, France; Department of Emergency Psychiatry and Acute Care, Lapeyronie Hospital, CHU Montpellier, Montpellier, France; PSNREC, Univ Montpellier, INSERM, CHU Montpellier, Montpellier, France
| | | |
Collapse
|
121
|
Abstract
Alcohol use disorder (AUD) and family functioning are inextricably bound, and families are impacted negatively by AUD, but families show substantial improvements with AUD recovery. Family members can successfully motivate a person with AUD to initiate changes in drinking or to seek AUD treatment. During recovery, family members can provide active support for recovery. Several couple- or family-involved treatments for AUD have been developed and tested in rigorous efficacy trials. Efficacious treatments based in family systems theory or cognitive behavioral approaches focus on the concerned family member alone, or they engage the couple or family as a unit in the treatment. However, most treatments have been studied in fairly homogeneous, heterosexual, White, non-Hispanic populations, limiting the potential generalizability of these treatments. Substantial gaps remain in our understanding of family processes associated with the initiation and maintenance of AUD recovery among adults. This review outlines the existing literature and describes opportunities for future research to address knowledge gaps in understanding the mechanisms by which these treatments are efficacious, use of family-based treatments with diverse populations, integration of pharmacotherapies with family-involved treatment, role of families in recovery-oriented systems of care, and how to improve treatment development and dissemination.
Collapse
Affiliation(s)
- Barbara S. McCrady
- Department of Psychology and Center on Alcoholism, Substance Abuse, and Addictions, University of New Mexico, Albuquerque, New Mexico
| | - Julianne C. Flanagan
- Department of Psychiatry and Behavioral Sciences, College of Medicine, Medical University of South Carolina, Charleston, South Carolina,Ralph H. Johnson Veterans Affairs Medical Center, Charleston, South Carolina
| |
Collapse
|
122
|
López-Castro T, Brandt L, Anthonipillai NJ, Espinosa A, Melara R. Experiences, impacts and mental health functioning during a COVID-19 outbreak and lockdown: Data from a diverse New York City sample of college students. PLoS One 2021; 16:e0249768. [PMID: 33826654 PMCID: PMC8026074 DOI: 10.1371/journal.pone.0249768] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Accepted: 03/24/2021] [Indexed: 01/14/2023] Open
Abstract
In March 2020, New York City (NYC) experienced an outbreak of coronavirus disease 2019 (COVID-19) which resulted in a 78-day mass confinement of all residents other than essential workers. The aims of the current study were to (1) document the breadth of COVID-19 experiences and their impacts on college students of a minority-serving academic institution in NYC; (2) explore associations between patterns of COVID-19 experiences and psychosocial functioning during the prolonged lockdown, and (3) explore sex and racial/ethnic differences in COVID-19-related experiences and mental health correlates. A total of 909 ethnically and racially diverse students completed an online survey in May 2020. Findings highlight significant impediments to multiple areas of students’ daily life during this period (i.e., home life, work life, social environment, and emotional and physical health) and a vast majority reported heightened symptoms of depression and generalized anxiety. These life disruptions were significantly related to poorer mental health. Moreover, those who reported the loss of a close friend or loved one from COVID-19 (17%) experienced significantly more psychological distress than counterparts with other types of infection-related histories. Nonetheless, the majority (96%) reported at least one positive experience since the pandemic began. Our findings add to a growing understanding of COVID-19 impacts on psychological health and contribute the important perspective of the North American epicenter of the pandemic during the time frame of this investigation. We discuss how the results may inform best practices to support students’ well-being and serve as a benchmark for future studies of US student populations facing COVID-19 and its aftermath.
Collapse
Affiliation(s)
- Teresa López-Castro
- Psychology Department, The City College of New York, New York, New York, United States of America
- * E-mail:
| | - Laura Brandt
- Division on Substance Use Disorders, New York State Psychiatric Institute and Department of Psychiatry, Columbia University Medical Center, New York, New York, United States of America
| | | | - Adriana Espinosa
- Psychology Department, The City College of New York, New York, New York, United States of America
| | - Robert Melara
- Psychology Department, The City College of New York, New York, New York, United States of America
| |
Collapse
|
123
|
Bensley KMK, Kerr WC, Barnett SB, Mulia N. Postmortem screening of opioids, benzodiazepines, and alcohol among rural and urban suicide decedents. J Rural Health 2021; 38:77-86. [PMID: 33817837 DOI: 10.1111/jrh.12574] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
PURPOSE Fatal suicides involving opioids are increasingly common, particularly in rural areas. As co-use of opioids with other substances contributes significantly to mortality risk, we examined whether positive screens for opioids with other substances is more prevalent among rural versus urban suicide deaths, as this could have implications for public health strategies to reduce overdose suicides. METHODS Data from all states reporting opioid-related overdose suicides in the National Violent Death Reporting System from 2012 to 2015 were used. Relative risk ratios were obtained using multinomial logistic regression, comparing opioid-only to (1) opioid and alcohol, (2) opioid and benzodiazepines, and (3) opioid, alcohol, and benzodiazepines suicides across rurality. Models were fit using robust standard errors and fixed effects for year of death, adjusting for individual, county, and state-level covariates. FINDINGS There were 3,781 opioid-overdose suicide decedents (42% female) tested for all 3 substances during the study period. Unadjusted prevalence of positive screens in decedents varied across rurality (P = .022). Urban decedents were more likely to test positive for opioids alone, while rural decedents were more to likely test positive for opioids and benzodiazepines. CONCLUSIONS Rural suicides are associated with increased opioid and benzodiazepine positive screens. These findings suggest the need for rural-focused interventions to support appropriate co-prescribing, better health education for providers about risks associated with drug mixing, and more linkages with mental health services.
Collapse
Affiliation(s)
- Kara Marie Kubiak Bensley
- School of Public Health, University of California, Berkeley, California, USA.,Alcohol Research Group, Public Health Institute, Emeryville, California, USA
| | - William C Kerr
- Alcohol Research Group, Public Health Institute, Emeryville, California, USA
| | - Sarah Beth Barnett
- School of Public Health, University of California, Berkeley, California, USA.,Alcohol Research Group, Public Health Institute, Emeryville, California, USA
| | - Nina Mulia
- Alcohol Research Group, Public Health Institute, Emeryville, California, USA
| |
Collapse
|
124
|
Lai D, Kapoor M, Wetherill L, Schwandt M, Ramchandani VA, Goldman D, Chao M, Almasy L, Bucholz K, Hart RP, Kamarajan C, Meyers JL, Nurnberger JI, Tischfield J, Edenberg HJ, Schuckit M, Goate A, Scott DM, Porjesz B, Agrawal A, Foroud T. Genome-wide admixture mapping of DSM-IV alcohol dependence, criterion count, and the self-rating of the effects of ethanol in African American populations. Am J Med Genet B Neuropsychiatr Genet 2021; 186:151-161. [PMID: 32652861 PMCID: PMC9376735 DOI: 10.1002/ajmg.b.32805] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 04/06/2020] [Accepted: 06/01/2020] [Indexed: 12/15/2022]
Abstract
African Americans (AA) have lower prevalence of alcohol dependence and higher subjective response to alcohol than European Americans. Genome-wide association studies (GWAS) have identified genes/variants associated with alcohol dependence specifically in AA; however, the sample sizes are still not large enough to detect variants with small effects. Admixture mapping is an alternative way to identify alcohol dependence genes/variants that may be unique to AA. In this study, we performed the first admixture mapping of DSM-IV alcohol dependence diagnosis, DSM-IV alcohol dependence criterion count, and two scores from the self-rating of effects of ethanol (SRE) as measures of response to alcohol: the first five times of using alcohol (SRE-5) and average of SRE across three times (SRE-T). Findings revealed a region on chromosome 4 that was genome-wide significant for SRE-5 (p value = 4.18E-05). Fine mapping did not identify a single causal variant to be associated with SRE-5; instead, conditional analysis concluded that multiple variants collectively explained the admixture mapping signal. PPARGC1A, a gene that has been linked to alcohol consumption in previous studies, is located in this region. Our finding suggests that admixture mapping is a useful tool to identify genes/variants that may have been missed by current GWAS approaches in admixed populations.
Collapse
Affiliation(s)
- Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Manav Kapoor
- Department of Neuroscience, Icahn School of Medicine at Mt. Sinai, New York, NY
| | - Leah Wetherill
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Melanie Schwandt
- Office of the Clinical Director, National Institute on Alcohol Abuse & Alcoholism, Bethesda, MD
| | - Vijay A. Ramchandani
- Section on Human Psychopharmacology, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD
| | - David Goldman
- Office of the Clinical Director, National Institute on Alcohol Abuse & Alcoholism, Bethesda, MD
| | - Michael Chao
- Department of Neuroscience, Icahn School of Medicine at Mt. Sinai, New York, NY
| | - Laura Almasy
- Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia and University of Pennsylvania School of Medicine, Philadelphia, PA
| | - Kathleen Bucholz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Ronald P. Hart
- Department of Cell Biology and Neuroscience, Rutgers University, Piscataway, NJ
| | - Chella Kamarajan
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, State University of New York, Downstate Medical Center, Brooklyn, NY
| | - Jacquelyn L. Meyers
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, State University of New York, Downstate Medical Center, Brooklyn, NY
| | - John I. Nurnberger
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN
| | - Jay Tischfield
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ
| | - Howard J. Edenberg
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN
| | - Marc Schuckit
- Department of Psychiatry, University of California, San Diego Medical School, San Diego, CA
| | - Alison Goate
- Department of Neuroscience, Icahn School of Medicine at Mt. Sinai, New York, NY
| | - Denise M. Scott
- Departments of Pediatrics and Human Genetics, Howard University, Washington, DC
| | - Bernice Porjesz
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, State University of New York, Downstate Medical Center, Brooklyn, NY
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| |
Collapse
|
125
|
Arnold TD, Lin L(A, Cotton BP, Bryson WC, Polenick CA. Gender Differences in Patterns and Correlates of Continued Substance Use among Patients in Methadone Maintenance Treatment. Subst Use Misuse 2021; 56:529-538. [PMID: 33645425 PMCID: PMC8279751 DOI: 10.1080/10826084.2021.1887242] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
BACKGROUND Continued substance use is common during opioid use disorder (OUD) treatment. There are still inconsistencies in how continued substance use and concurrent patterns of substance use among patients with OUD varies by gender. There is still more to learn regarding how factors associated with continued and concurrent use might differ for men and women in methadone maintenance treatment (MMT). Methods: This cross-sectional study examined predictors of concurrent substance use subgroups among patients receiving MMT. The sample included 341 (n = 161 women) MMT patients aged 18 and older from opioid treatment programs in Southern New England and the Pacific Northwest. Patients completed a survey assessing sociodemographic and clinical characteristics including past-month substance use. Latent class analyses were conducted by gender to identify groups based on substance use and determine predictors of those classes. Results: Three-class solutions were the optimal fit for both men and women. For both genders, the first subgroup was characterized as Unlikely Users (59.8% women, 52.8% men). Classes 2 and 3 among women were Cannabis/Opioid Users (23.7%) and Stimulant/Opioid Users (13.0%). Among men, Classes 2 and 3 consisted of Alcohol/Cannabis Users (21.9%) and Cannabis/Stimulant/Opioid Users (25.3%). Ever using Suboxone (buprenorphine/naloxone) and depression/anxiety symptoms were significantly linked to substance use group among women, whereas homelessness and employment status were significantly associated with substance use group among men. Conclusions: This study furthers understanding of gender differences in factors associated with continued substance use and distinctive patterns of concurrent substance use that may guide tailored treatments among patients MMT.
Collapse
Affiliation(s)
- Tomorrow D. Arnold
- Addiction Center, Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109
- Department of Psychology, University of Tennessee, Chattanooga, TN 37403
| | - Lewei (Allison) Lin
- Addiction Center, Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI 48109
- VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI 48109
| | - Brandi P. Cotton
- College of Nursing, University of Rhode Island, Kingston, RI 02881
| | - William C. Bryson
- Department of Psychiatry, Oregon Health and Sciences University, Portland, OR, USA
| | - Courtney A. Polenick
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI 48109
- Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109
- Institute for Social Research, University of Michigan, Ann Arbor, MI 48104
| |
Collapse
|
126
|
Prevalence and minority-stress correlates of past 12-month prescription drug misuse in a national sample of transgender and gender nonbinary adults: Results from the U.S. Transgender Survey. Drug Alcohol Depend 2021; 219:108474. [PMID: 33360852 PMCID: PMC7856161 DOI: 10.1016/j.drugalcdep.2020.108474] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 11/25/2020] [Accepted: 11/27/2020] [Indexed: 12/17/2022]
Abstract
BACKGROUND Prescription drug (PD) misuse, particularly opioid misuse, is a major US public health concern. While transgender and gender nonbinary (TGNB) individuals experience numerous health disparities, including substance use disparities, little research has focused on PD misuse in this population. METHODS Data for this secondary analysis come from the US Transgender Survey (N = 26,689). First, we examined bivariate differences in past 12-month PD misuse among binary transgender women, binary transgender men, nonbinary individuals assigned-female-at-birth (AFAB), and nonbinary individuals assigned-male-at-birth (AMAB). We then used multivariable logistic regression (separately based on sex-assigned-at-birth) to examine the relationship between gender-identity related discrimination and PD misuse. RESULTS PD misuse was significantly more common among binary transgender men (17.3 %), nonbinary AFAB individuals (18.7 %), and nonbinary AMAB individuals (18.0 %); compared to binary transgender women (13.5 %). In multivariable analyses, nonbinary identity was associated with higher odds of PD misuse among TGNB AFAB individuals (OR = 1.121; 95 %CI 1.021-1.232) and AMAB individuals (OR = 1.315; 95 % CI 1.133-1.527). Controlling for overall health status and psychological distress, public accommodations discrimination was associated with PD misuse among TGNB AMAB individuals (OR = 1.578, 95 %CI 1.354-1.839). Among both groups, healthcare discrimination was associated with PD misuse (AFAB OR = 1.388, 95 %CI 1.255-1.534; AMAB OR = 1.227, 95 %CI 1.073-1.404). CONCLUSION In this national sample of TGNB individuals, nonbinary individuals were at greater risk for PD misuse than binary individuals, possibly due to less societal affirmation. Similar to other TGNB health disparities, discrimination based on gender identity/expression was associated with PD misuse. This highlights the importance of interventions to reduce discrimination against TGNB individuals.
Collapse
|
127
|
Stanton AM, Batchelder AW, Kirakosian N, Scholl J, King D, Grasso C, Potter J, Mayer KH, O’Cleirigh C. Differences in mental health symptom severity and care engagement among transgender and gender diverse individuals: Findings from a large community health center. PLoS One 2021; 16:e0245872. [PMID: 33493207 PMCID: PMC7833136 DOI: 10.1371/journal.pone.0245872] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2020] [Accepted: 12/28/2020] [Indexed: 11/18/2022] Open
Abstract
Mental health disparities among transgender and gender diverse (TGD) populations have been documented. However, few studies have assessed differences in mental health symptom severity, substance use behavior severity, and engagement in care across TGD subgroups. Using data from the electronic health record of a community health center specializing in sexual and gender minority health, we compared the (1) severity of self-reported depression, anxiety, alcohol use, and other substance use symptoms; (2) likelihood of meeting clinical thresholds for these disorders; and (3) number of behavioral health and substance use appointments attended among cisgender, transgender, and non-binary patients. Participants were 29,988 patients aged ≥18 who attended a medical appointment between 2015 and 2018. Depression symptom severity (F = 200.6, p < .001), anxiety symptom severity (F = 102.8, p < .001), alcohol use (F = 58.8, p < .001), and substance use (F = 49.6, p < .001) differed significantly by gender. Relative to cisgender and transgender individuals, non-binary individuals are at elevated risk for depression, anxiety, and substance use disorders. Gender was also associated with differences in the number of behavioral health (χ2 = 51.5, p < .001) and substance use appointments (χ2 = 39.3, p < .001) attended. Engagement in treatment among certain gender groups is poor; cisgender women and non-binary patients assigned male at birth were the least likely to have attended a behavioral health appointment, whereas transgender men and cisgender women had attended the lowest number of substance use appointments. These data demonstrate the importance of (1) assessing gender diversity and (2) addressing the barriers that prevent TGD patients from receiving affirming care.
Collapse
Affiliation(s)
- Amelia M. Stanton
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
- The Fenway Institute, Fenway Health, Boston, Massachusetts, United States of America
| | - Abigail W. Batchelder
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
- The Fenway Institute, Fenway Health, Boston, Massachusetts, United States of America
| | - Norik Kirakosian
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - James Scholl
- The Fenway Institute, Fenway Health, Boston, Massachusetts, United States of America
- Department of Psychiatry, Veterans Affairs Boston Healthcare System, Boston, Massachusetts, United States of America
| | - Dana King
- The Fenway Institute, Fenway Health, Boston, Massachusetts, United States of America
| | - Chris Grasso
- The Fenway Institute, Fenway Health, Boston, Massachusetts, United States of America
| | - Jennifer Potter
- The Fenway Institute, Fenway Health, Boston, Massachusetts, United States of America
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America
| | - Kenneth H. Mayer
- Harvard Medical School, Boston, Massachusetts, United States of America
- The Fenway Institute, Fenway Health, Boston, Massachusetts, United States of America
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America
| | - Conall O’Cleirigh
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
- The Fenway Institute, Fenway Health, Boston, Massachusetts, United States of America
| |
Collapse
|
128
|
Maurage P, Pabst A, Lannoy S, D'Hondt F, de Timary P, Gaudelus B, Peyroux E. Tackling heterogeneity: Individual variability of emotion decoding deficits in severe alcohol use disorder. J Affect Disord 2021; 279:299-307. [PMID: 33096328 PMCID: PMC7738413 DOI: 10.1016/j.jad.2020.10.022] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 09/02/2020] [Accepted: 10/11/2020] [Indexed: 12/17/2022]
Abstract
BACKGROUND Severe alcohol use disorder (SAUD) is associated with social cognition deficits. Patients with SAUD are impaired for the recognition of emotional facial expressions, particularly at early stages of abstinence. These deficits damage interpersonal relations and increase relapse risk. However, uncertainties still abound on their variation across emotions and on the heterogeneity of emotional impairments across patients. We addressed these questions by exploring how the deficit varies according to emotions' type/intensity and patients' heterogeneity. METHODS Sixty-five recently detoxified patients with SAUD and 65 matched healthy controls performed the Facial Emotion Recognition Test, assessing the ability to identify six emotions (anger, contempt, disgust, fear, happiness, sadness) displayed by morphed faces with various intensities. Accuracy scores and detection thresholds were collected for each emotion. Beyond group comparisons, multiple single-case analyses determined the percentage of patients presenting decoding deficits for each emotion. RESULTS When current depression and anxiety symptoms were controlled for, patients did not present a general emotion decoding deficit, but were rather characterized by specific deficits for disgust/contempt in accuracy, and for disgust in detection threshold scores. Single-case analyses showed that only a third of patients presented a clinically significant emotional deficit. CONCLUSIONS Patients with SAUD only present emotional decoding deficits for specific interpersonal emotions (disgust/contempt) when subclinical psychopathological states are controlled for, and show no general emotional impairment. This goes against the proposal of a generalized social cognition deficit in this population. This group effect moreover masks a massive heterogeneity across patients, which has implications at experimental and clinical levels.
Collapse
Affiliation(s)
- Pierre Maurage
- Louvain Experimental Psychopathology research group (LEP), Psychological Sciences Research Institute, UCLouvain, Louvain-la-Neuve, Belgium.
| | - Arthur Pabst
- Louvain Experimental Psychopathology research group (LEP), Psychological Sciences Research Institute, UCLouvain, Louvain-la-Neuve, Belgium
| | - Séverine Lannoy
- Louvain Experimental Psychopathology research group (LEP), Psychological Sciences Research Institute, UCLouvain, Louvain-la-Neuve, Belgium; Stanford University, Department of Psychiatry and Behavioral Sciences, Stanford, CA, USA
| | - Fabien D'Hondt
- Univ. Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, Lille, France; CHU Lille, Clinique de Psychiatrie, CURE, Lille, France; Centre National de Ressources et de Résilience Lille-Paris (CN2R), Lille, France
| | - Philippe de Timary
- Louvain Experimental Psychopathology research group (LEP), Psychological Sciences Research Institute, UCLouvain, Louvain-la-Neuve, Belgium; Department of Adult Psychiatry, Saint-Luc Academic Hospital & Institute of Neuroscience, UCLouvain, Brussels, Belgium
| | - Baptiste Gaudelus
- Centre de Neurosciences Cognitives, UMR 5229, CNRS, Bron, France; Service Universitaire de Réhabilitation, SUR-CL3R, Centre Hospitalier Le Vinatier, Lyon, France
| | - Elodie Peyroux
- Centre de Neurosciences Cognitives, UMR 5229, CNRS, Bron, France; Service Universitaire de Réhabilitation, SUR-CL3R, Centre Hospitalier Le Vinatier, Lyon, France
| |
Collapse
|
129
|
Sun D, Richard MA, Musani SK, Sung YJ, Winkler TW, Schwander K, Chai JF, Guo X, Kilpeläinen TO, Vojinovic D, Aschard H, Bartz TM, Bielak LF, Brown MR, Chitrala K, Hartwig FP, Horimoto AR, Liu Y, Manning AK, Noordam R, Smith AV, Harris SE, Kühnel B, Lyytikäinen LP, Nolte IM, Rauramaa R, van der Most PJ, Wang R, Ware EB, Weiss S, Wen W, Yanek LR, Arking DE, Arnett DK, Barac A, Boerwinkle E, Broeckel U, Chakravarti A, Chen YDI, Cupples LA, Davigulus ML, de las Fuentes L, de Mutsert R, de Vries PS, Delaney JA, Diez Roux AV, Dörr M, Faul JD, Fretts AM, Gallo LC, Grabe HJ, Gu CC, Harris TB, Hartman CC, Heikkinen S, Ikram MA, Isasi C, Johnson WC, Jonas JB, Kaplan RC, Komulainen P, Krieger JE, Levy D, Lifelines Cohort Study, Liu J, Lohman K, Luik AI, Martin LW, Meitinger T, Milaneschi Y, O’Connell JR, Palmas WR, Peters A, Peyser PA, Pulkki-Råback L, Raffel LJ, Reiner AP, Rice K, Robinson JG, Rosendaal FR, Schmidt CO, Schreiner PJ, Schwettmann L, Shikany JM, Shu XO, Sidney S, Sims M, Smith JA, Sotoodehnia N, Strauch K, Tai ES, Taylor KD, Uitterlinden AG, van Duijn CM, Waldenberger M, Wee HL, Wei WB, Wilson G, Xuan D, Yao J, et alSun D, Richard MA, Musani SK, Sung YJ, Winkler TW, Schwander K, Chai JF, Guo X, Kilpeläinen TO, Vojinovic D, Aschard H, Bartz TM, Bielak LF, Brown MR, Chitrala K, Hartwig FP, Horimoto AR, Liu Y, Manning AK, Noordam R, Smith AV, Harris SE, Kühnel B, Lyytikäinen LP, Nolte IM, Rauramaa R, van der Most PJ, Wang R, Ware EB, Weiss S, Wen W, Yanek LR, Arking DE, Arnett DK, Barac A, Boerwinkle E, Broeckel U, Chakravarti A, Chen YDI, Cupples LA, Davigulus ML, de las Fuentes L, de Mutsert R, de Vries PS, Delaney JA, Diez Roux AV, Dörr M, Faul JD, Fretts AM, Gallo LC, Grabe HJ, Gu CC, Harris TB, Hartman CC, Heikkinen S, Ikram MA, Isasi C, Johnson WC, Jonas JB, Kaplan RC, Komulainen P, Krieger JE, Levy D, Lifelines Cohort Study, Liu J, Lohman K, Luik AI, Martin LW, Meitinger T, Milaneschi Y, O’Connell JR, Palmas WR, Peters A, Peyser PA, Pulkki-Råback L, Raffel LJ, Reiner AP, Rice K, Robinson JG, Rosendaal FR, Schmidt CO, Schreiner PJ, Schwettmann L, Shikany JM, Shu XO, Sidney S, Sims M, Smith JA, Sotoodehnia N, Strauch K, Tai ES, Taylor KD, Uitterlinden AG, van Duijn CM, Waldenberger M, Wee HL, Wei WB, Wilson G, Xuan D, Yao J, Zeng D, Zhao W, Zhu X, Zonderman AB, Becker DM, Deary IJ, Gieger C, Lakka TA, Lehtimäki T, North KE, Oldehinkel AJ, Penninx BW, Snieder H, Wang YX, Weir DR, Zheng W, Evans MK, Gauderman WJ, Gudnason V, Horta BL, Liu CT, Mook-Kanamori DO, Morrison AC, Pereira AC, Psaty BM, Amin N, Fox ER, Kooperberg C, Sim X, Bierut L, Rotter JI, Kardia SL, Franceschini N, Rao DC, Fornage M. Multi-Ancestry Genome-wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits. HGG ADVANCES 2021; 2:100013. [PMID: 34734193 PMCID: PMC8562625 DOI: 10.1016/j.xhgg.2020.100013] [Show More Authors] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 10/20/2020] [Indexed: 12/12/2022] Open
Abstract
Psychological and social factors are known to influence blood pressure (BP) and risk of hypertension and associated cardiovascular diseases. To identify novel BP loci, we carried out genome-wide association meta-analyses of systolic, diastolic, pulse, and mean arterial BP taking into account the interaction effects of genetic variants with three psychosocial factors: depressive symptoms, anxiety symptoms, and social support. Analyses were performed using a two-stage design in a sample of up to 128,894 adults from 5 ancestry groups. In the combined meta-analyses of Stages 1 and 2, we identified 59 loci (p value <5e-8), including nine novel BP loci. The novel associations were observed mostly with pulse pressure, with fewer observed with mean arterial pressure. Five novel loci were identified in African ancestry, and all but one showed patterns of interaction with at least one psychosocial factor. Functional annotation of the novel loci supports a major role for genes implicated in the immune response (PLCL2), synaptic function and neurotransmission (LIN7A, PFIA2), as well as genes previously implicated in neuropsychiatric or stress-related disorders (FSTL5, CHODL). These findings underscore the importance of considering psychological and social factors in gene discovery for BP, especially in non-European populations.
Collapse
Affiliation(s)
- Daokun Sun
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Melissa A. Richard
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Solomon K. Musani
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Yun Ju Sung
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Thomas W. Winkler
- Department of Genetic Epidemiology, University of Regensburg, Regensburg 93040, Germany
| | - Karen Schwander
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Jin Fang Chai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 119228, Singapore
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Tuomas O. Kilpeläinen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
- Department of Environmental Medicine and Public Health, The Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Dina Vojinovic
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Hugues Aschard
- Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
- Département de Génomes et Génétique, Institut Pasteur, Paris 75015, France
| | - Traci M. Bartz
- Cardiovascular Health Research Unit, Biostatistics and Medicine, University of Washington, Seattle, WA 98195, USA
| | - Lawrence F. Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48108, USA
| | - Michael R. Brown
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Kumaraswamy Chitrala
- Health Disparities Research Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD 20892, USA
| | - Fernando P. Hartwig
- Postgraduate Programme in Epidemiology, Federal University of Pelotas, Pelotas RS 96010-610, Brazil
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol BS8 1TH, UK
| | - Andrea R.V.R. Horimoto
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo 01246-903, Brazil
| | - Yongmei Liu
- Division of Cardiology, Department of Medicine, Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC 27701, USA
| | - Alisa K. Manning
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Raymond Noordam
- Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden 2311 EZ, the Netherlands
| | - Albert V. Smith
- Department of Biostatistics, University of Michigan, Ann Arbor, MI 48108, USA
- Icelandic Heart Association, Kopavogur 201, Iceland
| | - Sarah E. Harris
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh EH8 9JZ, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Brigitte Kühnel
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere 33101, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Tampere 33101, Finland
| | - Ilja M. Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9713 GZ, the Netherlands
| | - Rainer Rauramaa
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio 70100, Finland
| | - Peter J. van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9713 GZ, the Netherlands
| | - Rujia Wang
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9713 GZ, the Netherlands
| | - Erin B. Ware
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA
| | - Stefan Weiss
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald 17489, Germany
- DZHK (German Centre for Cardiovascular Health), Partner Site Greifswald, Greifswald 17475, Germany
| | - Wanqing Wen
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Lisa R. Yanek
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Dan E. Arking
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Donna K. Arnett
- Dean’s Office, University of Kentucky College of Public Health, Lexington, KY 40563, USA
| | - Ana Barac
- MedStar Heart and Vascular Institute, Washington, DC 20010, USA
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Ulrich Broeckel
- Section of Genomic Pediatrics, Department of Pediatrics, Medicine and Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Aravinda Chakravarti
- Center for Human Genetics and Genomics, New York University School of Medicine, New York, NY 10016, USA
| | - Yii-Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - L. Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
- NHLBI Framingham Heart Study, Framingham, MA 01702, USA
| | - Martha L. Davigulus
- Division of Minority Health, Department of Epidemiology, University of Illinois, Chicago, IL, USA
| | - Lisa de las Fuentes
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, USA
- Cardiovascular Division, Department of Medicine, Washington University, St. Louis, MO, USA
| | - Renée de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden 2311 EZ, the Netherlands
| | - Paul S. de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | | | - Ana V. Diez Roux
- Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA 19104, USA
| | - Marcus Dörr
- DZHK (German Centre for Cardiovascular Health), Partner Site Greifswald, Greifswald 17475, Germany
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald 17489, Germany
| | - Jessica D. Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA
| | - Amanda M. Fretts
- Cardiovascular Health Research Unit, Epidemiology, Medicine, and Health Services, University of Washington, Seattle, WA 98195, USA
| | - Linda C. Gallo
- Department of Psychology, San Diego State University, San Diego, CA 92182, USA
| | - Hans Jörgen Grabe
- DZHK (German Centre for Cardiovascular Health), Partner Site Greifswald, Greifswald 17475, Germany
- Department Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald 17489, Germany
| | - C. Charles Gu
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Tamara B. Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892, USA
| | - Catharina C.A. Hartman
- Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, University Medical Center Groningen, Groningen 9713 GZ, the Netherlands
| | - Sami Heikkinen
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio 70100, Finland
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio Campus 70100, Finland
| | - M. Arfan Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CA, the Netherlands
- Department of Neurology, Erasmus University Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Carmen Isasi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY 10461, USA
| | - W. Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Jost Bruno Jonas
- Department of Ophthalmology, Medical Faculty Mannheim, University Heidelberg, Mannheim 68167, Germany
- Beijing Institute of Ophthalmology, Beijing Ophthalmology and Visual Science Key Lab, Beijing Tongren Eye Center, Capital Medical University, Beijing, China
| | - Robert C. Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY 10461, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Pirjo Komulainen
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio 70100, Finland
| | - Jose E. Krieger
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo 01246-903, Brazil
| | - Daniel Levy
- NHLBI Framingham Heart Study, Framingham, MA 01702, USA
- Department of Medicine, Boston University, Boston, MA 02118, USA
| | - Lifelines Cohort Study
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, USA
- Department of Genetic Epidemiology, University of Regensburg, Regensburg 93040, Germany
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 119228, Singapore
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
- Department of Environmental Medicine and Public Health, The Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CA, the Netherlands
- Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
- Département de Génomes et Génétique, Institut Pasteur, Paris 75015, France
- Cardiovascular Health Research Unit, Biostatistics and Medicine, University of Washington, Seattle, WA 98195, USA
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48108, USA
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Health Disparities Research Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD 20892, USA
- Postgraduate Programme in Epidemiology, Federal University of Pelotas, Pelotas RS 96010-610, Brazil
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol BS8 1TH, UK
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo 01246-903, Brazil
- Division of Cardiology, Department of Medicine, Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC 27701, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
- Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden 2311 EZ, the Netherlands
- Department of Biostatistics, University of Michigan, Ann Arbor, MI 48108, USA
- Icelandic Heart Association, Kopavogur 201, Iceland
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh EH8 9JZ, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh EH8 9JZ, UK
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere 33101, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Tampere 33101, Finland
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9713 GZ, the Netherlands
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio 70100, Finland
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald 17489, Germany
- DZHK (German Centre for Cardiovascular Health), Partner Site Greifswald, Greifswald 17475, Germany
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Dean’s Office, University of Kentucky College of Public Health, Lexington, KY 40563, USA
- MedStar Heart and Vascular Institute, Washington, DC 20010, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
- Section of Genomic Pediatrics, Department of Pediatrics, Medicine and Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
- Center for Human Genetics and Genomics, New York University School of Medicine, New York, NY 10016, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
- NHLBI Framingham Heart Study, Framingham, MA 01702, USA
- Division of Minority Health, Department of Epidemiology, University of Illinois, Chicago, IL, USA
- Cardiovascular Division, Department of Medicine, Washington University, St. Louis, MO, USA
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden 2311 EZ, the Netherlands
- College of Pharmacy, University of Manitoba, Winnipeg MB R3E 0T5, Canada
- Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA 19104, USA
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald 17489, Germany
- Cardiovascular Health Research Unit, Epidemiology, Medicine, and Health Services, University of Washington, Seattle, WA 98195, USA
- Department of Psychology, San Diego State University, San Diego, CA 92182, USA
- Department Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald 17489, Germany
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892, USA
- Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, University Medical Center Groningen, Groningen 9713 GZ, the Netherlands
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio 70100, Finland
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio Campus 70100, Finland
- Department of Neurology, Erasmus University Medical Center, Rotterdam 3000 CA, the Netherlands
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY 10461, USA
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
- Department of Ophthalmology, Medical Faculty Mannheim, University Heidelberg, Mannheim 68167, Germany
- Beijing Institute of Ophthalmology, Beijing Ophthalmology and Visual Science Key Lab, Beijing Tongren Eye Center, Capital Medical University, Beijing, China
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
- Department of Medicine, Boston University, Boston, MA 02118, USA
- Genome Institute of Singapore, Agency for Science Technology and Research, Singapore 138632, Singapore
- Division of Cardiology, George Washington University School of Medicine and Health Sciences, Washington, DC 20052, USA
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
- Institute of Human Genetics, Technische Universität München, Munich 81675, Germany
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam 1081 HV, the Netherlands
- Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
- Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
- Division of General Medicine, Department of Medicine, Columbia University Medical Center, New York, NY 10032, USA
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Neuherberg 85764, Germany
- Faculty of Medicine, Department of Psychology and Logopedics, University of Helsinki, Helsinki 0100, Finland
- Division of Genetic and Genomic Medicine, Department of Pediatrics, University of California, Irvine, Irvine, CA 92697, USA
- Departments of Epidemiology and Medicine, University of Iowa, Iowa City, IA 52242, USA
- Institute for Community Medicine, University Medicine Greifswald, Greifswald 17489, Germany
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
- Division of Preventive Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA
- Division of Research, Kaiser Permanente of Northern California, Oakland, CA 94612, USA
- Cardiovascular Health Research Unit, Division of Cardiology, University of Washington, Seattle, WA 98195, USA
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
- Institute of Medical Informatics, Biometry, and Epidemiology, Ludwig-Maximilians-Universitat Munchen, Munich, 80539 Germany
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam 3000 CA, the Netherlands
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich 85764, Germany
- Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore 119077, Singapore
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- Jackson Heart Study, School of Public Health, Jackson State University, Jackson, MS 39217, USA
- Department of Biostatistics, University of North Carolina Gilling School of Global Public Health, Chapel Hill, NC 27599, USA
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH 44106, USA
- Behavioral Epidemiology Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD 21201, USA
- German Center for Diabetes Research (DZD e.V.), Neuherberg 85764, Germany
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio Campus, Kuopio 70211, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio 70211, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, University of Tampere, Tampere 33100, Finland
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC 27516, USA
- Beijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Ophthalmology and Visual Science Key Lab, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- Biostatistics, Preventive Medicine, University of Southern California, Los Angeles, CA 90007, USA
- Faculty of Medicine, University of Iceland, Reykjavik 102, Iceland
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden 2311 EZ, the Netherlands
- Kaiser Permanente Washington Health Research Institute, Seattle, WA 98101, USA
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Jianjun Liu
- Genome Institute of Singapore, Agency for Science Technology and Research, Singapore 138632, Singapore
| | - Kurt Lohman
- Division of Cardiology, Department of Medicine, Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC 27701, USA
| | - Annemarie I. Luik
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Lisa W. Martin
- Division of Cardiology, George Washington University School of Medicine and Health Sciences, Washington, DC 20052, USA
| | - Thomas Meitinger
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
- Institute of Human Genetics, Technische Universität München, Munich 81675, Germany
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam 1081 HV, the Netherlands
| | - Jeff R. O’Connell
- Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
- Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Walter R. Palmas
- Division of General Medicine, Department of Medicine, Columbia University Medical Center, New York, NY 10032, USA
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Neuherberg 85764, Germany
| | - Patricia A. Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48108, USA
| | - Laura Pulkki-Råback
- Faculty of Medicine, Department of Psychology and Logopedics, University of Helsinki, Helsinki 0100, Finland
| | - Leslie J. Raffel
- Division of Genetic and Genomic Medicine, Department of Pediatrics, University of California, Irvine, Irvine, CA 92697, USA
| | - Alex P. Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Kenneth Rice
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Jennifer G. Robinson
- Departments of Epidemiology and Medicine, University of Iowa, Iowa City, IA 52242, USA
| | - Frits R. Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden 2311 EZ, the Netherlands
| | - Carsten Oliver Schmidt
- DZHK (German Centre for Cardiovascular Health), Partner Site Greifswald, Greifswald 17475, Germany
- Institute for Community Medicine, University Medicine Greifswald, Greifswald 17489, Germany
| | - Pamela J. Schreiner
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA
| | - Lars Schwettmann
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
| | - James M. Shikany
- Division of Preventive Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Xiao-ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Stephen Sidney
- Division of Research, Kaiser Permanente of Northern California, Oakland, CA 94612, USA
| | - Mario Sims
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Jennifer A. Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48108, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Division of Cardiology, University of Washington, Seattle, WA 98195, USA
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
- Institute of Medical Informatics, Biometry, and Epidemiology, Ludwig-Maximilians-Universitat Munchen, Munich, 80539 Germany
| | - E. Shyong Tai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 119228, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore
| | - Kent D. Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - André G. Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CA, the Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Cornelia M. van Duijn
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CA, the Netherlands
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich 85764, Germany
| | - Hwee-Lin Wee
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 119228, Singapore
- Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore 119077, Singapore
| | - Wen-Bin Wei
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Gregory Wilson
- Jackson Heart Study, School of Public Health, Jackson State University, Jackson, MS 39217, USA
| | - Deng Xuan
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Jie Yao
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Donglin Zeng
- Department of Biostatistics, University of North Carolina Gilling School of Global Public Health, Chapel Hill, NC 27599, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48108, USA
| | - Xiaofeng Zhu
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Alan B. Zonderman
- Behavioral Epidemiology Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD 21201, USA
| | - Diane M. Becker
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Ian J. Deary
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh EH8 9JZ, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg 85764, Germany
| | - Timo A. Lakka
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio 70100, Finland
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio Campus, Kuopio 70211, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio 70211, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere 33101, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, University of Tampere, Tampere 33100, Finland
| | - Kari E. North
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC 27516, USA
| | - Albertine J. Oldehinkel
- Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, University Medical Center Groningen, Groningen 9713 GZ, the Netherlands
| | - Brenda W.J.H. Penninx
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam 1081 HV, the Netherlands
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9713 GZ, the Netherlands
| | - Ya-Xing Wang
- Beijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Ophthalmology and Visual Science Key Lab, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - David R. Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Michele K. Evans
- Health Disparities Research Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD 20892, USA
| | - W. James Gauderman
- Biostatistics, Preventive Medicine, University of Southern California, Los Angeles, CA 90007, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur 201, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik 102, Iceland
| | - Bernardo L. Horta
- Postgraduate Programme in Epidemiology, Federal University of Pelotas, Pelotas RS 96010-610, Brazil
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Dennis O. Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden 2311 EZ, the Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden 2311 EZ, the Netherlands
| | - Alanna C. Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Alexandre C. Pereira
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo 01246-903, Brazil
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Epidemiology, Medicine, and Health Services, University of Washington, Seattle, WA 98195, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA 98101, USA
| | - Najaf Amin
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Ervin R. Fox
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Xueling Sim
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 119228, Singapore
| | - Laura Bierut
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Sharon L.R. Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48108, USA
| | - Nora Franceschini
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC 27516, USA
| | - Dabeeru C. Rao
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| |
Collapse
|
130
|
Agabio R, Baldwin DS, Amaro H, Leggio L, Sinclair JMA. The influence of anxiety symptoms on clinical outcomes during baclofen treatment of alcohol use disorder: A systematic review and meta-analysis. Neurosci Biobehav Rev 2021; 125:296-313. [PMID: 33454289 DOI: 10.1016/j.neubiorev.2020.12.030] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 12/17/2020] [Accepted: 12/27/2020] [Indexed: 12/22/2022]
Abstract
Given the high coexistence of anxiety symptoms in people with alcohol use disorder (AUD), we aimed to determine the influence of anxiety symptoms on outcomes in patients with AUD treated with the GABAB receptor agonist baclofen. A meta-analysis of 13 comparisons (published 2010-2020) including baseline and outcome data on alcohol consumption and anxiety after 12 weeks was undertaken. There were significantly higher rates of abstinent days in patients treated with baclofen compared to placebo (p = 0.004; high certainty evidence); specifically in those with higher baseline anxiety levels (p < 0.00001; high certainty evidence) compared to those with lower baseline anxiety levels (p = 0.20; moderate certainty evidence). The change in anxiety ratings over 12 weeks did not differ between those treated with baclofen or placebo (p = 0.84; moderate certainty evidence). This may be due to different anxiety constructs being measured by scales not validated in this patient group, or that anxiety is not a biobehavioral mechanism by which baclofen may reduce alcohol drinking. Given the prevalence of anxiety symptoms in AUD all these factors warrant further research.
Collapse
Affiliation(s)
- Roberta Agabio
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Italy.
| | - David S Baldwin
- Faculty of Medicine, University of Southampton, Southampton, UK; University Department of Psychiatry and Mental Health, University of Cape Town, South Africa.
| | - Hugo Amaro
- Faculty of Medicine, University of Southampton, Southampton, UK
| | - Lorenzo Leggio
- Clinical Psychoneuroendocrinology and Neuropsychopharmacology Section, Translational Addiction Medicine Branch, National Institute on Drug Abuse Intramural Research Program and National Institute on Alcohol Abuse and Alcoholism Division of Intramural Clinical and Biological Research, National Institutes of Health, Baltimore and Bethesda, MD, United States; Medication Development Program, National Institute on Drug Abuse Intramural Research Program, National Institutes of Health, Baltimore, MD, United States; Center for Alcohol and Addiction Studies, Department of Behavioral and Social Sciences, School of Public Health, Brown University, Providence, RI, United States; Division of Addiction Medicine, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, United States; Department of Neuroscience, Georgetown University Medical Center, Washington DC, United States.
| | | |
Collapse
|
131
|
Storr CL, Reboussin BA, Green KM, Mojtabai R, Susukida R, Young AS, Cullen BA, Alvanzo AAH, Crum RM. Stressful life events and transitions in problematic alcohol use involvement among US adults. Subst Use Misuse 2021; 56:2171-2180. [PMID: 34523388 DOI: 10.1080/10826084.2021.1975748] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVE We investigated the impact of stressful life events (SLEs) for males and females on transitions in problematic alcohol involvement, both progression and recovery, over a 3-year interval. METHOD Participants of both Wave 1 (2001-2002) and Wave 2 (2004-2005) of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) were stratified by sex (14,233 males and 19,550 females). Latent transition analysis estimated the impact of experiencing ≥3 SLE in the year preceding the Wave 1 interview on the probability of transitioning between three empirically-derived stages of alcohol involvement (patterns of alcohol use disorder [AUD] symptoms), across waves. Propensity score methods adjusted for confounding. RESULTS For males, three or more SLEs were associated with progression from the moderate to the severe problem stage (odds ratio [OR] = 2.23, 95% confidence interval [CI] = 1.17, 4.26). Among those in the severe problem stage, SLEs negatively impacted recovery regardless of sex. Employment/Financial SLEs were associated with a higher odds of transition from the moderate to the no problem stage (OR = 1.60, 95% CI = 1.03, 2.46) and lower odds of transitions from the severe to the moderate problem stage (OR = 0.40, 95% CI = 0.16, 0.99) among males, and from the severe to the no problem stage (OR = 0.26, 95% CI = 0.07, 0.88) among females. CONCLUSION Stressful life events appear to affect transitions in alcohol involvement over time among those who already have alcohol problems, rather than impacting a transition among those without AUD problems.
Collapse
Affiliation(s)
- Carla L Storr
- Department of Family and Community Health, University of Maryland Baltimore School of Nursing, Baltimore, MD, USA
| | - Beth A Reboussin
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Kerry M Green
- Department of Behavioral and Community Health, University of Maryland College Park School of Public Health, College Park, MD, USA
| | - Ramin Mojtabai
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ryoko Susukida
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Andrea S Young
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA
| | - Bernadette A Cullen
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA
| | | | - Rosa M Crum
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA.,Department of Epidemiology, Johns Hopkins University, Baltimore, MD, USA
| |
Collapse
|
132
|
Hillmer AT, Angarita GA, Esterlis I, Anderson JM, Nabulsi N, Lim K, Ropchan J, Carson RE, Krystal JH, Malley SSO, Cosgrove KP. Longitudinal imaging of metabotropic glutamate 5 receptors during early and extended alcohol abstinence. Neuropsychopharmacology 2021; 46:380-385. [PMID: 32919411 PMCID: PMC7852514 DOI: 10.1038/s41386-020-00856-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 08/10/2020] [Accepted: 08/27/2020] [Indexed: 01/22/2023]
Abstract
Chronic alcohol use has important effects on the glutamate system. The metabotropic glutamate 5 (mGlu5) receptor has shown promise in preclinical models as a target to reduce drinking-related behaviors and cue-induced reinstatement, motivating human studies of mGlu5 receptor negative allosteric modulators. The goal of this work was to measure levels of mGlu5 receptor availability with positron emission tomography (PET) imaging using the mGlu5 receptor-specific radiotracer [18F]FPEB during early and extended alcohol abstinence. Subjects who met DSM-5 criteria for alcohol use disorder (AUD; n = 17) were admitted inpatient for the study duration. [18F]FPEB PET scans were acquired first during early abstinence (6 ± 4 days after last drink) and a second time during extended abstinence (n = 13; 27 ± 6 days after last drink). A single scan was acquired in healthy controls matched for sex and smoking status (n = 20). [18F]FPEB total volumes of distribution (VT) corrected for partial volume effects were measured using equilibrium analysis throughout the brain. A linear mixed model controlling for smoking status and sex identified significantly higher [18F]FPEB VT in AUD subjects at early abstinence compared to controls (F(1,32) = 7.23, p = 0.011). Post-hoc analyses revealed this effect to occur in cortical brain regions. No evidence for significant changes in [18F]FPEB VT over time were established. These findings provide human evidence consistent with a robust preclinical literature supporting mGlu5 receptor drugs as pharmacotherapies for AUD.
Collapse
Affiliation(s)
- Ansel T Hillmer
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA.
- Yale PET Center, Yale University School of Medicine, New Haven, CT, USA.
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA.
| | - Gustavo A Angarita
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Clinical Neuroscience Research Unit, Connecticut Mental Health Center, New Haven, CT, USA
| | - Irina Esterlis
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Yale PET Center, Yale University School of Medicine, New Haven, CT, USA
| | - Jon Mikael Anderson
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Nabeel Nabulsi
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA
- Yale PET Center, Yale University School of Medicine, New Haven, CT, USA
| | - Keunpoong Lim
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA
- Yale PET Center, Yale University School of Medicine, New Haven, CT, USA
| | - Jim Ropchan
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA
- Yale PET Center, Yale University School of Medicine, New Haven, CT, USA
| | - Richard E Carson
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA
- Yale PET Center, Yale University School of Medicine, New Haven, CT, USA
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
| | - John H Krystal
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | | | - Kelly P Cosgrove
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA
- Yale PET Center, Yale University School of Medicine, New Haven, CT, USA
| |
Collapse
|
133
|
Williams IL. An Apologetic Interpretation of Alcoholics Anonymous (AA): Timeless Wisdom, Outdated Language. Subst Use Misuse 2021; 56:1079-1094. [PMID: 33970771 DOI: 10.1080/10826084.2021.1892134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
BACKGROUND The Twelve Steps of Alcoholics Anonymous (AA) has proven to be an effective aid in recovery for many people with alcohol use disorder. While constructive criticisms of AA can be beneficial to the organization, other criticisms have merely served as rhetorical devices intent on discrediting the 12-step approach. OBJECTIVES This paper examines six prominent critiques of AA, paying special attention to the premises, tone, and factual basis of the statements. Interpretations grounded in AA literature are offered to address claims or critiques around prominent themes, which are organized into two main classes: purported causes of alcoholism and factors maintaining alcoholism. RESULTS Findings reveal tenuous statements in the AA literature that appear contradictory and thereby invite a misreading. These statements, some of which misrepresent the tenets of AA and its founders, underscore certain vocal criticisms that are not entirely unfounded. While many pages of the AA literature are imbued with timeless wisdom, even the most apologetic interpretations-distilled into benefit-of-the-doubt renderings-largely falter in defending the nature of the language that originated in the early 1900s at odds with 21st century understandings of alcohol use disorder. Conclusions/Importance: The AA literature essentially presents a valid target for critics, fueling resistance to this free community-based resource that may prevent people who could benefit from AA from seeking the help of the 12-steps.
Collapse
|
134
|
Hasin D, Walsh C. Cannabis Use, Cannabis Use Disorder, and Comorbid Psychiatric Illness: A Narrative Review. J Clin Med 2020; 10:E15. [PMID: 33374666 PMCID: PMC7793504 DOI: 10.3390/jcm10010015] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 12/10/2020] [Accepted: 12/19/2020] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND The landscape of attitudes, legal status and patterns of use of cannabis is rapidly changing in the United States and elsewhere. Therefore, the primary aim of this narrative review is to provide a concise overview of the literature on the comorbidity of cannabis use and cannabis use disorder (CUD) with other substance use and psychiatric disorders, and to use this information to accurately guide future directions for the field. METHODS A literature review of PubMed was conducted for studies relating to cannabis use, CUD, and a co-occurring psychiatric disorder. To provide an overview of representative data, the literature review focused on national-level, population-based work from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) and National Survey on Drug Use and Health (NSDUH) surveys. Considering rapidly changing cannabis laws, recent (past five-year) studies were addressed. RESULTS A strong body of literature shows associations between cannabis use and CUD with other drug use, psychosis, mood disorders, anxiety disorders, and personality disorders. The strongest evidence of a potential causal relationship exists between cannabis use and psychotic disorders. While some evidence shows potential directionality between cannabis use and mood and anxiety disorders, results are inconsistent. Studies have established higher rates of CUD among those with personality disorders, but little about the specifics of this relationship is understood. CONCLUSIONS Although the general population in the United States increasingly perceives cannabis to be a harmless substance, empirical evidence shows that cannabis use is associated both with CUD and comorbid psychiatric illness. However, there is mixed evidence regarding the role of cannabis in the etiology, course, and prognosis of a co-occurring disorder across all categories of psychiatric disorders. Future research should expand on the existing body of literature with representative, longitudinal data, in order to better understand the acute and long-term effects of cannabis on comorbid psychiatric illness.
Collapse
Affiliation(s)
- Deborah Hasin
- New York State Psychiatric Institute, New York, NY 10032, USA;
- Department of Epidemiology, Mailman School of Public Health, Columbia University Medical Center, New York, NY 10032, USA
| | - Claire Walsh
- New York State Psychiatric Institute, New York, NY 10032, USA;
| |
Collapse
|
135
|
Rhee TG, Peltier MR, Sofuoglu M, Rosenheck RA. Do Sex Differences Among Adults With Opioid Use Disorder Reflect Sex-specific Vulnerabilities? A Study of Behavioral Health Comorbidities, Pain, and Quality of Life. J Addict Med 2020; 14:502-509. [PMID: 32371659 PMCID: PMC8962823 DOI: 10.1097/adm.0000000000000662] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
OBJECTIVES Studies suggest that men and women have different vulnerabilities to a number of substance use disorders (SUDs). We examined whether differences between women and men with opioid use disorder (OUD) are significantly different from those without OUD for selected sociodemographic and health outcomes. METHODS We used a cross-sectional survey design using data from 2012 to 2013 National Epidemiological Survey on Alcohol and Related Conditions Wave III, which surveyed nationally representative samples of non-institutionalized adults (n = 36,309 unweighted). Past-year OUD and other behavioral co-morbidities were defined using DSM-5 criteria. In bivariate analyses, we investigated sex differences in socio-demographic factors, behavioral co-morbidities, pain, and health-related quality of life (HRQOL) between women and men with past-year OUD, and then those without past-year OUD. We further used logistic regression analyses to evaluate interactions between effect of sex and past-year OUD status on behavioral co-morbidities, pain, and HRQOL. RESULTS When extrapolated, about 2.1 million US adults met diagnostic criteria for past-year OUD. Women with OUD had a higher likelihood of having several past-year psychiatric disorders, and a lower likelihood of having any past-year SUDs compared to male counterparts. However, similar relationships were observed among those without OUD and significant interaction effects were not found on behavioral co-morbidities, pain, and HRQOL, indicating that general sex differences are not specific to OUD. CONCLUSIONS Although sex differences are not specific to OUD, concurrent disorders are not uncommon among women, as well as men, with OUD. There is a need to treat concurrent behavioral health conditions from a multimorbidity perspective in the treatment of OUD in both sexes.
Collapse
Affiliation(s)
- Taeho Greg Rhee
- VA New England Mental Illness, Research, Education and Clinical Center (MIRECC), VA Connecticut Healthcare System, West Haven, CT (TGR, MKRP, MS, RAR); Department of Psychiatry, School of Medicine, Yale University, New Haven, CT (TGR, MKRP, MS, RAR); Department of Public Health Sciences, School of Medicine, University of Connecticut Health Care, Farmington, CT (TGR); Psychology Service, VA Connecticut Healthcare System, West Haven, CT (MKRP)
| | | | | | | |
Collapse
|
136
|
Horváth Z, Tremkó M, Fazekas Z, Tóth A, Petke Z, Farkas J, Griffiths MD, Demetrovics Z, Urbán R. Patterns and temporal change of psychopathological symptoms among inpatients with alcohol use disorder undergoing a twelve-step based treatment. Addict Behav Rep 2020; 12:100302. [PMID: 33364311 PMCID: PMC7752724 DOI: 10.1016/j.abrep.2020.100302] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 08/03/2020] [Accepted: 08/18/2020] [Indexed: 11/17/2022] Open
Abstract
Psychopathological symptom profiles and trajectories were examined among AUD inpatients. Three quantitatively different subgroups were identified in terms of psychopathological symptoms. Classes were discriminated by different psychopathological symptom change trajectories. Subgroups with more severe psychopathological symptoms used alcohol in a more harmful way. Drinking of the more severely affected classes were more motivated by coping and conformity motives.
Background Patients diagnosed with Alcohol Use Disorder (AUD) present an increased risk for experiencing severe internalizing and externalizing symptoms. Involvement in twelve-step based treatment programs, such as the Minnesota Model (MM), can contribute to improvement of an individual’s psychopathological symptom profile. The present study’s main objective was to examine profiles and change trajectories of psychopathological symptoms of AUD subgroups during an eight-week long period of MM treatment attendance. Method Inpatients with AUD (N = 303) who attended MM treatment programs participated in the present study. Latent Class Growth Analysis (LCGA) was used to evaluate the psychopathological symptom change trajectories assessed by using the Brief Symptom Inventory (BSI). Multiple comparisons and multinomial logistic regression were performed to validate the subgroups. Results Three subgroups were identified: low severity (48.5%), moderate severity (35.2%), and high severity (16.2%) symptomatic subgroups. The moderate severity class demonstrated the largest effect in terms of symptoms decrease. Higher severity classes showed significantly higher rates of harmful alcohol drinking and drinking motives. Conclusions The present study identified three severity-based subgroups which indicate that psychopathology sits on a spectrum of severity among AUD patients. The findings highlight the associations between AUD and internalizing symptoms, negative reinforcement drinking motives, and the symptomatic improvement that can occur among those participating in MM treatment programs.
Collapse
Affiliation(s)
- Zsolt Horváth
- Institute of Psychology, ELTE Eötvös Loránd University, Izabella utca 46, Budapest H-1064, Hungary.,Doctoral School of Psychology, ELTE Eötvös Loránd University, Izabella utca 46, Budapest H-1064, Hungary
| | - Mariann Tremkó
- Department of Addictology, Nyírő Gyula National Institute of Psychiatry and Addictions, Lehel utca 59-61, Budapest H-1135, Hungary
| | - Zsolt Fazekas
- Department of Addictology, Nyírő Gyula National Institute of Psychiatry and Addictions, Lehel utca 59-61, Budapest H-1135, Hungary
| | - András Tóth
- Department of Addictology, Nyírő Gyula National Institute of Psychiatry and Addictions, Lehel utca 59-61, Budapest H-1135, Hungary
| | - Zsolt Petke
- Department of Addictology, Nyírő Gyula National Institute of Psychiatry and Addictions, Lehel utca 59-61, Budapest H-1135, Hungary
| | - Judit Farkas
- Institute of Psychology, ELTE Eötvös Loránd University, Izabella utca 46, Budapest H-1064, Hungary.,Department of Addictology, Nyírő Gyula National Institute of Psychiatry and Addictions, Lehel utca 59-61, Budapest H-1135, Hungary
| | - Mark D Griffiths
- Psychology Department, Nottingham Trent University, Nottingham, United Kingdom
| | - Zsolt Demetrovics
- Institute of Psychology, ELTE Eötvös Loránd University, Izabella utca 46, Budapest H-1064, Hungary
| | - Róbert Urbán
- Institute of Psychology, ELTE Eötvös Loránd University, Izabella utca 46, Budapest H-1064, Hungary
| |
Collapse
|
137
|
Walls M, Sittner KJ, Whitbeck LB, Herman K, Gonzalez M, Elm JHL, Hautala D, Dertinger M, Hoyt DR. Prevalence of Mental Disorders from Adolescence through Early Adulthood in American Indian and First Nations Communities. Int J Ment Health Addict 2020; 19:2116-2130. [PMID: 35002580 PMCID: PMC8734560 DOI: 10.1007/s11469-020-00304-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2022] Open
Affiliation(s)
- Melissa Walls
- Johns Hopkins University, Department of International Health; Center for American Indian Health; 1915 South Street, Duluth, MN 55812
| | | | - Les B. Whitbeck
- University of Nebraska, Lincoln, Department of Sociology, Lincoln, NE
| | - Kaley Herman
- Johns Hopkins University, Department of International Health; Center for American Indian Health; 1915 South Street, Duluth, MN 55812
| | - Miigis Gonzalez
- Johns Hopkins University, Department of International Health; Center for American Indian Health; 1915 South Street, Duluth, MN 55812
| | - Jessica H. L. Elm
- Johns Hopkins University, Department of International Health; Center for American Indian Health; 1915 South Street, Duluth, MN 55812
| | - Dane Hautala
- University of Minnesota, Department of Psychiatry, Minneapolis, MN
| | - Melinda Dertinger
- University of Minnesota Medical School, Duluth campus, Department of Family Medicine & Biobehavioral Health
| | - Dan R. Hoyt
- University of Nebraska, Lincoln, Department of Sociology, Lincoln, NE
| |
Collapse
|
138
|
Cobb CL, Salas-Wright CP, John R, Schwartz SJ, Vaughn M, Martínez CR, Awad G, Pinedo M, Cano MÁ. Discrimination Trends and Mental Health Among Native- and Foreign-Born Latinos: Results from National Surveys in 2004 and 2013. PREVENTION SCIENCE : THE OFFICIAL JOURNAL OF THE SOCIETY FOR PREVENTION RESEARCH 2020; 22:397-407. [PMID: 33231824 PMCID: PMC10371212 DOI: 10.1007/s11121-020-01186-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/31/2020] [Indexed: 11/30/2022]
Abstract
We examined national trends and mental health correlates of discrimination among Latinos in the USA. We used data from two nationally representative surveys based on the National Epidemiologic Survey on Alcohol and Related Conditions collected in 2004 and 2013. Results indicated that perceived discrimination, both any and recurrent, increased for Latinos across nearly every demographic, with the greatest increases occurring for Latinos who were ages 65 and older, had household incomes less than $35,000, were less educated, were immigrants, and who lived in the Midwest. Findings also indicated that any and recurrent discrimination were associated with increased odds of a mood, anxiety, or substance use disorder and this association was observed for nearly all manifestations of discrimination. We also observed a dose-response association where experiencing discrimination in a greater number of domains was associated with increased likelihood of mood, anxiety, and substance use disorders. Results suggest that discrimination is a social stressor that has increased for Latino populations in recent years and may represent a serious risk factor for the psychological and behavioral health of Latinos. Findings are discussed in terms of prior research and the potential implications for prevention scientists working with Latino populations.
Collapse
Affiliation(s)
- Cory L Cobb
- Department of Educational Psychology, University of Texas at Austin, 1912 Speedway, Ste D5000, Austin, TX, 78712, USA.
| | | | - Rachel John
- School of Social Work, Boston University, 264 Bay State Rd, Boston, MA, 02215, USA
| | - Seth J Schwartz
- Leonard M. Miller School of Medicine, University of Miami, 1120 N.W. 14th Street, Room 1083, Miami, FL, 33136, USA
| | - Michael Vaughn
- Saint Louis University, 3550 Lindell Blvd., Room 316, St. Louis, MO, 63103, USA
| | - Charles R Martínez
- Department of Educational Psychology, University of Texas at Austin, 1912 Speedway, Ste D5000, Austin, TX, 78712, USA
| | - Germine Awad
- Department of Educational Psychology, University of Texas at Austin, 1912 Speedway, Ste D5000, Austin, TX, 78712, USA
| | - Miguel Pinedo
- Department of Kinesiology and Health Education, University of Texas at Austin, 1912 Speedway, Ste D5000, Austin, TX, 78712, USA
| | - Miguel Ángel Cano
- Florida International University, 11200 SW 8th Street AHC5, Miami, FL, 33199, USA
| |
Collapse
|
139
|
Worthington MA, Mandavia A, Richardson-Vejlgaard R. Prospective prediction of PTSD diagnosis in a nationally representative sample using machine learning. BMC Psychiatry 2020; 20:532. [PMID: 33172436 PMCID: PMC7653804 DOI: 10.1186/s12888-020-02933-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 10/27/2020] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Recent research has identified a number of pre-traumatic, peri-traumatic and post-traumatic psychological and ecological factors that put an individual at increased risk for developing PTSD following a life-threatening event. While these factors have been found to be associated with PTSD in univariate analyses, the complex interactions of these risk factors and how they contribute to individual trajectories of the illness are not yet well understood. In this study, we examine the impact of prior trauma, psychopathology, sociodemographic characteristics, community and environmental information, on PTSD onset in a nationally representative sample of adults in the United States, using machine learning methods to establish the relative contributions of each variable. METHODS Individual risk factors identified in Waves 1 of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) were combined with community-level data for the years concurrent to the NESARC Wave 1 (n = 43,093) and 2 (n = 34,653) surveys. Machine learning feature selection and classification analyses were used at the national level to create models using individual- and community-level variables that would best predict the new onset of PTSD at Wave 2. RESULTS Our classification algorithms yielded 89.7 to 95.6% accuracy for predicting new onset of PTSD at Wave 2. A prior diagnosis of DSM-IV-TR Borderline Personality Disorder, Major Depressive Disorder or Anxiety Disorder conferred the greatest relative influence in new diagnosis of PTSD. Distal risk factors such as prior psychiatric diagnosis accounted for significantly greater relative risk than proximal factors (such as adverse event exposure). CONCLUSIONS Our findings show that a machine learning classification approach can successfully integrate large numbers of known risk factors for PTSD into stronger models that account for high-dimensional interactions and collinearity between variables. We discuss the implications of these findings as pertaining to the targeted mobilization emergency mental health resources. These findings also inform the creation of a more comprehensive risk assessment profile to the likelihood of developing PTSD following an extremely adverse event.
Collapse
Affiliation(s)
| | - Amar Mandavia
- Department of Counseling and Clinical Psychology, Teachers College, Columbia University, New York, USA
| | | |
Collapse
|
140
|
Olfson M, Wall M, Barry CL, Mauro C, Feng T, Mojtabai R. Medicaid Expansion and Low-Income Adults with Substance Use Disorders. J Behav Health Serv Res 2020; 48:477-486. [PMID: 33156464 DOI: 10.1007/s11414-020-09738-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/14/2020] [Indexed: 11/30/2022]
Abstract
Problems accessing affordable treatment are common among low-income adults with substance use disorders. A difference-in-differences analysis was performed to assess changes in insurance and treatment of low-income adults with common substance use disorders following the 2014 ACA Medicaid expansion, using data from the 2008-2017 National Surveys on Drug Use and Health. Lack of insurance among low-income adults with substance use disorders in expansion states declined from 34.8% (2012-2013) to 20.0% (2014-2015) to 13.5% (2016-2017) while Medicaid coverage increased from 24.8% (2012-2013) to 48.0% (2016-2017). In nonexpansion states, lack of insurance declined from 44.8% (2012-2013) to 34.2% (2016-2017) and Medicaid coverage increased from 14.3% (2012-2013) to 23.4% (2016-2017). Treatment rates remained low and little changed. Medicaid expansion contributed to insurance coverage gains for low-income adults with substance use disorders, although persistent treatment gaps underscore clinical and policy challenges of engaging these newly insured adults in treatment.
Collapse
Affiliation(s)
- Mark Olfson
- Department of Psychiatry, College of Physicians and Surgeon, Columbia University, and New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY, USA.
| | - Melanie Wall
- Department of Psychiatry, College of Physicians and Surgeon, Columbia University, and New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY, USA.,Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Colleen L Barry
- Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.,Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Christine Mauro
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Tianshu Feng
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Ramin Mojtabai
- Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.,Department of Psychiatry and Behavioral Sciences, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| |
Collapse
|
141
|
Listabarth S, Gmeiner A, Pruckner N, Vyssoki S, Wippel A, König D. When demand exceeds supply: Liver transplantation due to alcohol use disorder in Austria. NEUROPSYCHIATRIE : KLINIK, DIAGNOSTIK, THERAPIE UND REHABILITATION : ORGAN DER GESELLSCHAFT ÖSTERREICHISCHER NERVENÄRZTE UND PSYCHIATER 2020; 34:157-163. [PMID: 33141424 PMCID: PMC7732788 DOI: 10.1007/s40211-020-00364-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 10/06/2020] [Indexed: 12/17/2022]
Abstract
Background Alcohol use disorder (AUD) is associated with a high prevalence rate and causes a significant burden on health systems globally. The most severe condition associated with AUD is end-stage alcohol-related liver disease (ARLD), for which liver transplantation (LTX) is the only curative therapy. However, the determination of key epidemiologic figures of both conditions is limited by several difficulties and challenges. Therefore, the goal of this paper is to discuss different epidemiological models to estimate AUD and ARLD prevalence, and compare the results of these models with LTX data. Methods A literature search for epidemiological models estimating the prevalence of AUD and associated secondary diseases was conducted. Identified approaches are discussed and recalculated, applying the newest available data for Austria. The thus estimated numbers were, in a further step, set in relation to the national LTX statistics. Results Besides health survey-based estimations and models based on economic data, estimations based on the mortality of ARLD (Jellinek formula) were identified. Depending on the prediction scenario, the calculated rates of prevalence of AUD ranged between 4.1% and 10.1% for the population aged older than 15 years. Furthermore, while the prevalence of secondary diseases due to AUD is high, only a marginal proportion (about 4%) of end-stage ARLD patients receive a new organ. Conclusion These results suggest that the prevalence of AUD and associated diseases remain underestimated. Furthermore, a pronounced discrepancy between the number of ARLD deaths and the number of LTXs due to ARLD, and distinct regional differences in the supply of LTXs, were found.
Collapse
Affiliation(s)
- Stephan Listabarth
- Clinical Division of Social Psychiatry, Department of Psychiatry and Psychotherapy, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - Andrea Gmeiner
- Clinical Division of Social Psychiatry, Department of Psychiatry and Psychotherapy, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - Nathalie Pruckner
- Clinical Division of Social Psychiatry, Department of Psychiatry and Psychotherapy, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - Sandra Vyssoki
- Department of Health Sciences, St. Pölten University of Applied Sciences, Sankt Pölten, Austria
| | - Andreas Wippel
- Clinical Division of Social Psychiatry, Department of Psychiatry and Psychotherapy, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - Daniel König
- Clinical Division of Social Psychiatry, Department of Psychiatry and Psychotherapy, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
| |
Collapse
|
142
|
Evans-Polce RJ, Kcomt L, Veliz PT, Boyd CJ, McCabe SE. Alcohol, Tobacco, and Comorbid Psychiatric Disorders and Associations With Sexual Identity and Stress-Related Correlates. Am J Psychiatry 2020; 177:1073-1081. [PMID: 32911997 PMCID: PMC7606786 DOI: 10.1176/appi.ajp.2020.20010005] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVE The authors examined psychiatric comorbidities associated with alcohol use disorders and tobacco use disorders among heterosexual, bisexual, and gay and lesbian men and women in the United States and whether stress-related factors were predictive of comorbidities. METHODS The authors used data from the National Epidemiologic Survey on Alcohol and Related Conditions-III (2012-2013, N=36,309) to examine the co-occurrence of past-year alcohol or tobacco use disorder with past-year anxiety disorders, mood disorders, and posttraumatic stress disorder by sexual identity (heterosexual, bisexual, gay or lesbian) and sex. The authors also examined the association of stress-related factors and social support with the presence of comorbidities. RESULTS Comorbidities were more prevalent among women and sexual minorities, particularly bisexual women. More than half of bisexual (55%) and gay or lesbian (51%) individuals who met criteria for a past-year alcohol use disorder had a psychiatric comorbidity, while only one-third of heterosexual individuals who met criteria for a past-year alcohol use disorder did. Similar differences were found among those who met criteria for a past-year tobacco use disorder. Among sexual minorities, the frequency of sexual orientation discrimination (adjusted odds ratio range=1.08-1.10), number of stressful life events (adjusted odds ratio range=1.25-1.43), and number of adverse childhood experiences (adjusted odds ratio range=1.04-1.18) were significantly associated with greater odds of comorbidities. Greater social support was significantly inversely associated with tobacco use disorder comorbidities (adjusted odds ratio range=0.96-0.97). CONCLUSIONS This research suggests that integrated substance use and mental health prevention and treatment programs are needed, particularly for individuals who identify as sexual minorities. The increased stressors experienced by sexual minority individuals may be important drivers of these high levels of comorbidities.
Collapse
Affiliation(s)
- Rebecca J. Evans-Polce
- Center for the Study of Drugs, Alcohol, Smoking and Health, School of Nursing, University of Michigan, Ann Arbor, MI
| | - Luisa Kcomt
- Center for the Study of Drugs, Alcohol, Smoking and Health, School of Nursing, University of Michigan, Ann Arbor, MI
| | - Phillip T. Veliz
- Center for the Study of Drugs, Alcohol, Smoking and Health, School of Nursing, University of Michigan, Ann Arbor, MI
| | - Carol J. Boyd
- Center for the Study of Drugs, Alcohol, Smoking and Health, School of Nursing, University of Michigan, Ann Arbor, MI,Addiction Center, Department of Psychiatry, University of Michigan, Ann Arbor, MI
| | - Sean Esteban McCabe
- Center for the Study of Drugs, Alcohol, Smoking and Health, School of Nursing, University of Michigan, Ann Arbor, MI,Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI
| |
Collapse
|
143
|
Cano M. English use/proficiency, ethnic discrimination, and alcohol use disorder in Hispanic immigrants. Soc Psychiatry Psychiatr Epidemiol 2020; 55:1345-1354. [PMID: 32055891 DOI: 10.1007/s00127-020-01837-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Accepted: 02/03/2020] [Indexed: 12/18/2022]
Abstract
PURPOSE Acculturation-related measures, often based on language, have traditionally been identified as predictors of drinking outcomes for US Hispanics. However, a sole focus on acculturation may obscure the role of societal factors such as discrimination. The present study evaluated ethnic discrimination as a mediator in the relationship between English use/proficiency and alcohol use disorder in US Hispanic immigrants. METHODS The study examined data from the 2222 self-identified Hispanic immigrant adults in the National Epidemiologic Survey on Alcohol and Related Conditions-III who reported alcohol use within the past year. The study utilized multivariable binomial logistic regression analyses to test relationships between English use/proficiency and perceived ethnic discrimination; English use/proficiency and DSM-5 alcohol use disorder; ethnic discrimination and DSM-5 alcohol use disorder. Statistical mediation examined ethnic discrimination as a mediator in the relationship between English use/proficiency and alcohol use disorder. RESULTS Perceived ethnic discrimination was significantly associated with alcohol use disorder in men (adjusted odds ratio [AOR] 1.99; 95% CI [confidence interval], 1.40-2.83), yet not women (AOR 1.32; 95% CI, 0.71-2.44), in a regression model that also included English use/proficiency. Perceived ethnic discrimination also acted as a partial mediator between English use/proficiency and DSM-5 alcohol use disorder for male, yet not female, Hispanic immigrants. CONCLUSION Findings show some support for the notion that experiences of ethnic discrimination, which may accompany the process of acculturation, partially explain deteriorating drinking outcomes in Hispanic immigrant men adapting to life in the US.
Collapse
Affiliation(s)
- Manuel Cano
- Department of Social Work, University of Texas at San Antonio, 501 W. César E. Chávez Blvd., San Antonio, TX, 78207, USA.
| |
Collapse
|
144
|
Lee CS, Rosales R, Colby SM, Martin R, Cox K, Rohsenow DJ. Addressing social stressors in a brief motivational interview improve mental health symptoms for Latinx heavy drinkers. J Clin Psychol 2020; 76:1832-1850. [PMID: 32469106 PMCID: PMC7487011 DOI: 10.1002/jclp.22976] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
OBJECTIVE Depressive and anxiety symptoms co-occur with hazardous drinking among Latinxs. This secondary analysis of a clinical trial to reduce hazardous drinking (motivational interviewing adapted to address social stressors [CAMI] vs. motivational interviewing [MI]) examined effects on anxiety/depressive symptoms. Discrimination and acculturation were examined as moderators. METHODS Latinx (n = 296) hazardous drinkers (2+ occasions/month of heavy drinking; 4/5 drinks/occasion, females/males) were randomized to CAMI/MI. Generalized estimating equations analyzed how treatment conditions and interactions were related to depressive and anxiety symptoms after controlling for covariates. RESULTS Baseline symptoms (anxiety, depression) exceeded clinical thresholds (Anxiety ≥8, M = 14.62, SD = 13.52; Depression ≥ 12, M = 18.78, SD = 12.57). Cultural adaptation of motivational interviewing (CAMI) showed significantly lower anxiety and depressive symptoms (6/12 months, respectively) than MI. CAMI with high baseline discrimination reported significantly less depression than MI (12 months). CONCLUSIONS Explicitly addressing social stressors may be a beneficial adjunct to treatment for Latinx drinkers.
Collapse
Affiliation(s)
- Christina S. Lee
- Department of Clinical Practice, Boston University School of Social Work, 264 Bay State Road, Boston, MA, 02215
| | - Robert Rosales
- Center for Alcohol and Addiction Studies, Brown University School of Public Health, 121 South Main St., Providence, RI, 02912, USA
| | - Suzanne M. Colby
- Center for Alcohol and Addiction Studies, Brown University School of Public Health, 121 South Main St., Providence, RI, 02912, USA
| | - Rosemarie Martin
- Center for Alcohol and Addiction Studies, Brown University School of Public Health, 121 South Main St., Providence, RI, 02912, USA
| | - Koriann Cox
- Department of Applied Psychology, Northeastern University, 360 Huntington Avenue, Boston, 02115
| | - Damaris J. Rohsenow
- Center for Alcohol and Addiction Studies, Brown University School of Public Health, 121 South Main St., Providence, RI, 02912, USA
| |
Collapse
|
145
|
Quadir SG, Rohl CD, Zeabi A, Moore CF, Cottone P, Sabino V. Effect of different standard rodent diets on ethanol intake and associated allodynia in male mice. Alcohol 2020; 87:17-23. [PMID: 32330590 DOI: 10.1016/j.alcohol.2020.04.003] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Revised: 03/20/2020] [Accepted: 04/14/2020] [Indexed: 11/16/2022]
Abstract
Alcohol is the most ubiquitously consumed and misused mind-altering substance in the world. Various animal models exist to aid in our neurobiological understanding of alcohol addiction. One variable too often taken for granted and not consistently controlled is the "standard" chow diet rodents are maintained on. In this set of experiments, we sought to determine the effect of different commonly used diets on ethanol intake, ethanol preference, and mechanical pain sensitivity in a widely used mouse model of heavy alcohol drinking, the intermittent access to 20% alcohol model. We found that male mice kept on LabDiet 5001 (Diet 2 [LD5001]) and on Teklad Diet 7012 (Diet 3 [H7012]) consistently drank more ethanol than mice kept on Teklad Diet 2918 (Diet 1 [H2918]) as well as compared to mice on LabDiet 5V75 (Diet 4 [LD5V75]). In addition, water intake was consistently lower in mice kept on LabDiet 5001 (Diet 2 [LD5001]), and occasionally in mice kept on Teklad Diet 7012 (Diet 3 [H7012]), compared to the Teklad Diet 2918 (Diet 1 [H2918]) group. We found that male mice showed a strong mechanical allodynia following 8 weeks of intermittent ethanol drinking at 72 h of withdrawal, compared to water Control mice, regardless of the diet and hence of the different amount of ethanol consumed. Our data provide evidence that the type of rodent diet subjects are exposed to is an important variable to report and control, in all ethanol drinking studies.
Collapse
Affiliation(s)
- Sema G Quadir
- Laboratory of Addictive Disorders, Departments of Pharmacology and Psychiatry, Boston University School of Medicine, 72 E. Concord St., Boston, MA, United States
| | - Christian D Rohl
- Laboratory of Addictive Disorders, Departments of Pharmacology and Psychiatry, Boston University School of Medicine, 72 E. Concord St., Boston, MA, United States
| | - Aya Zeabi
- Laboratory of Addictive Disorders, Departments of Pharmacology and Psychiatry, Boston University School of Medicine, 72 E. Concord St., Boston, MA, United States
| | - Catherine F Moore
- Laboratory of Addictive Disorders, Departments of Pharmacology and Psychiatry, Boston University School of Medicine, 72 E. Concord St., Boston, MA, United States
| | - Pietro Cottone
- Laboratory of Addictive Disorders, Departments of Pharmacology and Psychiatry, Boston University School of Medicine, 72 E. Concord St., Boston, MA, United States
| | - Valentina Sabino
- Laboratory of Addictive Disorders, Departments of Pharmacology and Psychiatry, Boston University School of Medicine, 72 E. Concord St., Boston, MA, United States.
| |
Collapse
|
146
|
Wardell JD, Kempe T, Rapinda KK, Single A, Bilevicius E, Frohlich JR, Hendershot CS, Keough MT. Drinking to Cope During COVID-19 Pandemic: The Role of External and Internal Factors in Coping Motive Pathways to Alcohol Use, Solitary Drinking, and Alcohol Problems. Alcohol Clin Exp Res 2020; 44:2073-2083. [PMID: 32870516 DOI: 10.1111/acer.14425] [Citation(s) in RCA: 182] [Impact Index Per Article: 36.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 07/24/2020] [Indexed: 01/07/2023]
Abstract
BACKGROUND The COVID-19 pandemic has resulted in massive disruptions to society, to the economy, and to daily life. Some people may turn to alcohol to cope with stress during the pandemic, which may put them at risk for heavy drinking and alcohol-related harms. Research is needed to identify factors that are relevant for coping-motivated drinking during these extraordinary circumstances to inform interventions. This study provides an empirical examination of coping motive pathways to alcohol problems during the early stages of the COVID-19 pandemic. METHODS Participants (N = 320; 54.7% male; mean age of 32 years) were Canadian adult drinkers who completed an online survey assessing work- and home-related factors, psychological factors, and alcohol-related outcomes over the past 30 days, covering a time period beginning within 1 month of the initiation of the COVID-19 emergency response. RESULTS The results of a theory-informed path model showed that having at least 1 child under the age of 18, greater depression, and lower social connectedness each predicted unique variance in past 30-day coping motives, which in turn predicted increased past 30-day alcohol use (controlling for pre-COVID-19 alcohol use reported retrospectively). Income loss was associated with increased alcohol use, and living alone was associated with increased solitary drinking (controlling for pre-COVID-19 levels), but these associations were not mediated by coping motives. Increased alcohol use, increased solitary drinking, and greater coping motives for drinking were all independently associated with past 30-day alcohol problems, and indirect paths to alcohol problems from having children at home, depression, social connectedness, income loss, and living alone were all supported. CONCLUSIONS Findings provide insight into coping-motivated drinking early in the COVID-19 pandemic and highlight the need for longitudinal research to establish longer term outcomes of drinking to cope during the pandemic.
Collapse
Affiliation(s)
- Jeffrey D Wardell
- From the Department of Psychology, York University, Toronto, ON, Canada.,Institute for Mental Health Policy Research and Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Tyler Kempe
- Department of Psychology, University of Manitoba, Winnipeg, MB, Canada
| | - Karli K Rapinda
- Department of Psychology, University of Manitoba, Winnipeg, MB, Canada
| | - Alanna Single
- Department of Psychology, University of Manitoba, Winnipeg, MB, Canada
| | - Elena Bilevicius
- Department of Psychology, University of Manitoba, Winnipeg, MB, Canada
| | - Jona R Frohlich
- Department of Psychology, University of Manitoba, Winnipeg, MB, Canada
| | - Christian S Hendershot
- Institute for Mental Health Policy Research and Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Department of Psychology, University of Toronto, Toronto, ON, Canada.,Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada
| | - Matthew T Keough
- From the Department of Psychology, York University, Toronto, ON, Canada
| |
Collapse
|
147
|
Abstract
The last 40 years of JAMA Psychiatry are reviewed as a celebration of its achievements. The focus of this article is on the evolution of big data as reflected in key journal articles. The review begins in 1984 with the introduction of the Epidemiology Catchment Area (ECA) study and Freedman's editorial "Psychiatric Epidemiology Counts." The ECA study (N = 17 000), for the first time in a survey, used clinical diagnosis in 5 urban communities, thus linking research and care to population rates of psychiatric diagnosis. The review then traces the subsequent evolution of big data to 5 overlapping phases, other population surveys in the US and globally, cohort studies, administrative claims, large genetic data sets, and electronic health records. Each of these topics are illustrated in articles in JAMA Psychiatry. The many caveats to these choices, the historical roots before 1984, as well as the controversy around the choice of topics and the term big data are acknowledged. The foundation for big data in psychiatry was built on the development of defined and reliable diagnosis, assessment tools that could be used in large samples, the computational evolution for handling large data sets, hypothesis generated by smaller studies of humans and animals with carefully crafted phenotypes, the welcoming of investigators from all over the world with calls for broader diversity, open access and the sharing of data, and introduction of electronic health records more recently. Future directions as well as the opportunities for the complementary roles of big and little data are described. JAMA Psychiatry will continue to be a rich resource of these publications.
Collapse
Affiliation(s)
- Myrna M Weissman
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.,Mailman School of Public Health, Columbia University, New York, New York.,Division of Translational Epidemiology, New York State Psychiatric Institute, New York
| |
Collapse
|
148
|
Li X, Fu Q, Scherrer JF, Humphrey D, Leigh I. A temporal relationship between nonmedical opioid Use and major depression in the U.S.: A Prospective study from the National Epidemiological Survey on Alcohol and Related Conditions. J Affect Disord 2020; 273:298-303. [PMID: 32421616 DOI: 10.1016/j.jad.2020.04.047] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2019] [Revised: 04/18/2020] [Accepted: 04/27/2020] [Indexed: 11/18/2022]
Abstract
BACKGROUND Given the existing strong cross-sectional relationship between nonmedical opioid use (NMOU) and major depressive disorder (MDD), this study focused on the temporal relationship between NMOU and major depression. METHODS Data sources were derived from Wave 1 and Wave 2 of the National Epidemiological Survey on Alcohol and Related Conditions. Logistic regression was applied to predicted NMOU at the follow-up survey based on baseline MDD diagnosis and symptoms of MDD among the sample without lifetime NMOU at baseline (N=32,982). In parallel, we examined the relationship between past year NMOU at baseline and new onset of MDD diagnosis (N=28,649) and between past year NMOU at baseline and new onset of symptoms of MDD (N=23,214) among people without major depression diagnosis or symptoms at baseline. RESULTS MDD diagnosis (aOR=1.68, 95% CI=1.43, 1.98) and symptoms of major depression (aOR=1.25, 95% CI=1.14, 1.38) at baseline were associated with higher odds of incident NMOU. The baseline NMOU was associated with lower odds incident MDD diagnosis (aOR=0.79, 95%CI=0.66, 0.94) in the adjusted model. However, the baseline NMOU was associated with higher odds of new onset of major depressive symptoms at wave 2 in the sample without baseline symptoms of MDD (aOR=1.42, 95%CI=1.23, 1.63). CONCLUSION Symptoms of MDD and MDD diagnosis increased the new onset of NMOU, while NMOU only increased the risks of new onset of symptoms of MDD.
Collapse
Affiliation(s)
- Xue Li
- Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University, Salus Center Suite 300, 3545 Lafayette Ave., St. Louis, Missouri, 63104, Saint Louis, Missouri, USA
| | - Qiang Fu
- Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University, Salus Center Suite 300, 3545 Lafayette Ave., St. Louis, Missouri, 63104, Saint Louis, Missouri, USA.
| | - Jeffrey F Scherrer
- Department of Family and Community Medicine, School of Medicine, Saint Louis University, St. Louis, Missouri, USA
| | - Daniel Humphrey
- Department of Communication, Boston College, Boston, MA, USA
| | - Isabella Leigh
- Department of Communication, Boston College, Boston, MA, USA
| |
Collapse
|
149
|
Stapp EK, Williams SC, Kalb LG, Holingue CB, Van Eck K, Ballard ED, Merikangas KR, Gallo JJ. Mood disorders, childhood maltreatment, and medical morbidity in US adults: An observational study. J Psychosom Res 2020; 137:110207. [PMID: 32745641 PMCID: PMC7855245 DOI: 10.1016/j.jpsychores.2020.110207] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Revised: 07/13/2020] [Accepted: 07/26/2020] [Indexed: 12/23/2022]
Abstract
OBJECTIVE Mood disorders, child maltreatment, and medical morbidity are associated with enormous public health burden and individual suffering. The effect of mood disorders on medical morbidity, accounting for child maltreatment, has not been studied prospectively in a large, representative sample of community-dwelling US adults. This study tested the effects of mood disorders and child maltreatment on medical morbidity, and variation by subtypes. METHODS Participants were noninstitutionalized US adults in the National Epidemiologic Survey on Alcohol and Related Conditions (N = 43,093 wave 1, N = 34,653 wave 2). Mood disorders included lifetime DSM-IV episodes of depression, dysthymia, mania, or hypomania. Child maltreatment was defined as sexual, physical, or emotional abuse, or physical or emotional neglect before age 18. Survey-weighted zero-inflated poisson regression was used to study effects on medical morbidity, a summary score of 11 self-reported medical conditions. Results were adjusted for age, sex, ethnicity/race, income, substance use disorders, smoking, and obesity. RESULTS Mood disorders and child maltreatment additively associated with medical morbidity at study entry and three years later, with similar magnitude as obesity and smoking. Mania/hypomania (incidence rate ratio [IRR] 1.06, 95% CI 1.01-1.10) and child sexual (IRR 1.08, 95% CI 1.04-1.11) and emotional (IRR 1.05, 95% CI 1.01-1.10) abuse were associated with higher medical morbidity longitudinally. CONCLUSIONS Child maltreatment is common, and its long-range negative effect on medical morbidity underscores the importance of trauma-informed care, and consideration of early life exposures. History of mania/hypomania should be considered in medical practice, and physical health must be emphasized in mental health care.
Collapse
Affiliation(s)
- Emma K Stapp
- Genetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, MD, USA; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
| | - Stacey C Williams
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Luther G Kalb
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Kennedy Krieger Institute, Baltimore, MD, USA
| | - Calliope B Holingue
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Kennedy Krieger Institute, Baltimore, MD, USA
| | | | - Elizabeth D Ballard
- Experimental Therapeutics and Pathophysiology Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, MD, USA
| | - Kathleen R Merikangas
- Genetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, MD, USA
| | - Joseph J Gallo
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| |
Collapse
|
150
|
Tao R, Jiang F, Min K, Liu T, Liu Y, Xia L, Wang J, Liu H, Tang YL. Alcohol Use Among Mental Health Professionals in China: A Nationwide Cross-sectional Survey. Alcohol Alcohol 2020; 56:351-359. [PMID: 32696947 DOI: 10.1093/alcalc/agaa065] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 04/12/2020] [Accepted: 06/12/2020] [Indexed: 01/31/2023] Open
Abstract
AIM To survey the use of alcohol, and its correlates by mental health professions in China, a nation where there is rapid increase in alcohol consumption and problems. METHODS As a part of a large-scale, nation-wide online survey of healthcare professionals, we collected demographic variables and other health-related variables anonymously. The Alcohol Use Disorder Identification Test-Concise (AUDIT-C) was used to collect data on alcohol use. RESULTS 13,980 mental health professionals completed the survey (4382 doctors, 9339 nurses and 259 clinical psychologists), representing 64% of the total targeted. Respondents were predominantly female (75.1%). Alcohol consumption was reported by 41.8% of participants (by 53.9% of doctors, 36.2% of nurses and 40.5% of clinical psychologists). Based on the cut-off scores of the AUDIT-C (≥3 for women and ≥4 for men), 7.5% were classified as probable alcohol misusers in the past year, and the rates were 10.2% in doctors, 6.3% in nurses and 5.8% in clinical psychologists. Multiple logistic regression showed that male sex (OR = 3.772; CI = 3.206-4.439), being a doctor (OR = 1.259; CI = 1.052-1.506), being divorced or widowed (OR = 1.979; CI = 1.467-2.666), having an associate degree or less (OR = 1.809; CI = 1.040-3.147), working in Northeast China (OR = 1.538; CI = 1.281-1.848) and the habit of smoking (OR = 3.345; CI = 2.280-3.967) were significantly associated with alcohol misuse. CONCLUSIONS Alcohol use and misuse were relatively common among mental health professionals in China, and male sex, being a doctor, with lower education, working in Northeast China and cigarette smoking were significant associations. Awareness and interventions are recommended to promote healthier use of alcohol in this professional group, especially among risk subgroups.
Collapse
Affiliation(s)
- Rui Tao
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, 64 Chaohu Road, Chaohu District, Hefei, 238000, China.,Department of Substance-Related Disorders, Hefei Fourth People's Hospital, 316 Huangshan Road, Shushan District, Hefei, 230022, China
| | - Feng Jiang
- School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, 5 Dongdansantiao, Dongcheng District, Beijing, 100730, China
| | - Kaiyuan Min
- School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, 5 Dongdansantiao, Dongcheng District, Beijing, 100730, China
| | - Tingfang Liu
- Institute for Hospital Management of Tsinghua University, Haidian District, Beijing, 100091, China
| | - Yuanli Liu
- School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, 5 Dongdansantiao, Dongcheng District, Beijing, 100730, China
| | - Lei Xia
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, 64 Chaohu Road, Chaohu District, Hefei, 238000, China
| | - Juan Wang
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, 64 Chaohu Road, Chaohu District, Hefei, 238000, China
| | - Huanzhong Liu
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, 64 Chaohu Road, Chaohu District, Hefei, 238000, China
| | - Yi-Lang Tang
- Mental Health Service Line, Atlanta VA Medical Center, Decatur, GA, 30033, USA.,Addiction Psychiatry Fellowship Program, Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, 30329, USA
| |
Collapse
|