Deborah S Hasin1,2,3, Bridget F Grant4. 1. Department of Psychiatry, College of Physicians and Surgeons, New York, NY, 10032, USA. 2. Mailman School of Public Health, Columbia University, New York, NY, 10032, USA. 3. New York State Psychiatric Institute, New York, NY, 10032, USA. 4. Laboratory of Epidemiology and Biometry, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, 5635 Fishers Lane, Room 3077, Rockville, MD, 20852, USA. bgrant@mail.nih.gov.
Abstract
PURPOSE: The NESARC, a "third-generation" psychiatric epidemiologic survey that integrated detailed measures of alcohol and drug use and problems has been the data source for over >850 publications. A comprehensive review of NESARC findings and their implications is lacking. METHOD: NESARC was a survey of 43,093 participants that covered alcohol, drug and psychiatric disorders, risk factors, and consequences. Wave 1 of the NESARC was conducted in 2001-2002. Three years later, Wave 2 follow-up re-interviews were conducted with 34,653 of the original participants. Scopus and Pubmed were used to search for NESARC papers, which were sorted into topic areas and summarized. RESULT: The most common disorders were alcohol and posttraumatic stress disorders, and major depression. Females had more internalizing disorders and males had more externalizing disorders, although the preponderance of males with alcohol disorders (the "gender gap") was less pronounced than it was in previous decades. A race/ethnic "paradox" (lower risk among disadvantaged minorities than whites) remains unexplained. Younger participants had higher risk for substance and personality disorders, but not unipolar depressive or anxiety disorders. Psychiatric comorbidity was extensive and often formed latent trans-diagnostic domains. Since 1991-1992, risk for marijuana and prescription drug disorders increased, while smoking decreased, although smoking decreases were less pronounced among those with comorbidity. A nexus of comorbidity, social support, and stress predicted transitions in diagnostic status between Waves 1 and 2. Childhood maltreatment predicted psychopathology. Alcohol and drug use disorders were seldom treated; attitudinal barriers (little perceived need, perceived alcoholism stigma, pessimism about efficacy) were more important in predicting non-treatment than financial barriers. CONCLUSIONS: Understanding comorbidity and the effects of early stressors will require research incorporating biologic components, e.g., genetic variants and brain imaging. The lack of treatment for alcohol and drug disorders, predicted by attitudinal rather than financial variables, suggests an urgent need for public and professional education to reduce the stigma associated with these disorders and increase knowledge of treatment options.
PURPOSE: The NESARC, a "third-generation" psychiatric epidemiologic survey that integrated detailed measures of alcohol and drug use and problems has been the data source for over >850 publications. A comprehensive review of NESARC findings and their implications is lacking. METHOD: NESARC was a survey of 43,093 participants that covered alcohol, drug and psychiatric disorders, risk factors, and consequences. Wave 1 of the NESARC was conducted in 2001-2002. Three years later, Wave 2 follow-up re-interviews were conducted with 34,653 of the original participants. Scopus and Pubmed were used to search for NESARC papers, which were sorted into topic areas and summarized. RESULT: The most common disorders were alcohol and posttraumatic stress disorders, and major depression. Females had more internalizing disorders and males had more externalizing disorders, although the preponderance of males with alcohol disorders (the "gender gap") was less pronounced than it was in previous decades. A race/ethnic "paradox" (lower risk among disadvantaged minorities than whites) remains unexplained. Younger participants had higher risk for substance and personality disorders, but not unipolar depressive or anxiety disorders. Psychiatric comorbidity was extensive and often formed latent trans-diagnostic domains. Since 1991-1992, risk for marijuana and prescription drug disorders increased, while smoking decreased, although smoking decreases were less pronounced among those with comorbidity. A nexus of comorbidity, social support, and stress predicted transitions in diagnostic status between Waves 1 and 2. Childhood maltreatment predicted psychopathology. Alcohol and drug use disorders were seldom treated; attitudinal barriers (little perceived need, perceived alcoholism stigma, pessimism about efficacy) were more important in predicting non-treatment than financial barriers. CONCLUSIONS: Understanding comorbidity and the effects of early stressors will require research incorporating biologic components, e.g., genetic variants and brain imaging. The lack of treatment for alcohol and drug disorders, predicted by attitudinal rather than financial variables, suggests an urgent need for public and professional education to reduce the stigma associated with these disorders and increase knowledge of treatment options.
Entities:
Keywords:
Alcohol and drugs; Anxiety disorders; Comorbidity; Epidemiology; Mood disorders; National survey; Personality disorders
Authors: Robert D Levitan; Caroline Davis; Allan S Kaplan; Tamara Arenovich; D I W Phillips; Arun V Ravindran Journal: J Clin Psychiatry Date: 2012-05-15 Impact factor: 4.384
Authors: Enrique Baca-Garcia; M Mercedes Perez-Rodriguez; Katherine M Keyes; Maria A Oquendo; Deborah S Hasin; Bridget F Grant; Carlos Blanco Journal: J Psychiatr Res Date: 2011-04 Impact factor: 4.791
Authors: Bridget F Grant; Deborah A Dawson; Frederick S Stinson; Patricia S Chou; Ward Kay; Roger Pickering Journal: Drug Alcohol Depend Date: 2003-07-20 Impact factor: 4.492
Authors: Carlos Blanco; Robert F Krueger; Deborah S Hasin; Shang-Min Liu; Shuai Wang; Bradley T Kerridge; Tulshi Saha; Mark Olfson Journal: JAMA Psychiatry Date: 2013-02 Impact factor: 21.596
Authors: Rosa M Crum; Lareina La Flair; Carla L Storr; Kerry M Green; Elizabeth A Stuart; Anika A H Alvanzo; Samuel Lazareck; James M Bolton; Jennifer Robinson; Jitender Sareen; Ramin Mojtabai Journal: Depress Anxiety Date: 2012-12-20 Impact factor: 6.505
Authors: Rohan H C Palmer; Leslie A Brick; Yi-Ling Chou; Arpana Agrawal; John E McGeary; Andrew C Heath; Laura Bierut; Matthew C Keller; Eric Johnson; Sarah M Hartz; Marc A Schuckit; Valerie S Knopik Journal: Drug Alcohol Depend Date: 2019-06-14 Impact factor: 4.492
Authors: Craig Rodriguez-Seijas; Nicholas R Eaton; Malki Stohl; Pia M Mauro; Deborah S Hasin Journal: Compr Psychiatry Date: 2017-02-09 Impact factor: 3.735