Rosa M Crum1, Kerry M Green2, Elizabeth A Stuart3, Lareina N La Flair3, Marc Kealhofer4, Andrea S Young5, Noa Krawczyk3, Kayla N Tormohlen3, Carla L Storr6, Anika A H Alvanzo7, Ramin Mojtabai8, Lauren R Pacek9, Bernadette A Cullen8, Beth A Reboussin10. 1. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, USA; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 733 N. Broadway, Baltimore, MD 21205, USA; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, USA. Electronic address: rcrum1@jhu.edu. 2. Department of Behavioral and Community Health,University of Maryland College Park School of Public Health, 4200 Valley Dr. #2242, College Park, MD 21742, USA. 3. Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, USA. 4. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, USA; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, USA. 5. Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 733 N. Broadway, Baltimore, MD 21205, USA. 6. Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, USA; Department of Family and Community Health, University of Maryland School of Nursing, 655 W. Lombard St., Baltimore, MD 21201, USA. 7. Division of General Internal Medicine, Johns Hopkins University School of Medicine, 733 N. Broadway, Baltimore, MD 21205, USA. 8. Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 733 N. Broadway, Baltimore, MD 21205, USA; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, USA. 9. Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, USA; Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC 27710, USA. 10. Department of Biostatistical Sciences, Wake Forest School of Medicine, 475 Vine St, Winston-Salem, NC 27101, USA.
Abstract
INTRODUCTION: Although prior clinical and population-based studies have demonstrated comorbidity between mood and alcohol use disorders (AUD), there is a paucity of research assessing whether mood disorders predict transition across stages of alcohol involvement. METHOD: Hypothesizing that mood disorders predict transition across sex-specific alcohol involvement stages, we used prospective data from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC), a nationally representative survey of US adults, which included male (n = 14,564) and female (n = 20,089) participants surveyed in 2001-2 and re-interviewed in 2004-5. Latent class (LCA) and latent transition analyses (LTA) were used to assess patterns of alcohol involvement in the US and the association of lifetime mood disorders at baseline with transition across stages of alcohol involvement during follow-up. RESULTS: A three-class model of AUD criteria was identified (No problems, Moderate problems and Severe problems) for both sexes. Positive cross-sectional associations between mood disorder and problem classes of alcohol involvement were found among both sexes, as were positive longitudinal associations. Propensity score adjustment mitigated the associations of baseline mood disorder with progressive transition for both sexes. However, among females, baseline mood disorder was consistently associated with reduction in remission from Severe to Moderate alcohol problems (aOR = 0.30, CI = 0.09-0.99, p = .048) over time. DISCUSSION: Our study provides evidence that mood disorders impact transition through stages of alcohol involvement and are most strongly associated with hindering remission among females. Findings advance our understanding of these comorbid relationships and have clinical implications for ongoing assessment of drinking patterns among individuals with mood disorders.
INTRODUCTION: Although prior clinical and population-based studies have demonstrated comorbidity between mood and alcohol use disorders (AUD), there is a paucity of research assessing whether mood disorders predict transition across stages of alcohol involvement. METHOD: Hypothesizing that mood disorders predict transition across sex-specific alcohol involvement stages, we used prospective data from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC), a nationally representative survey of US adults, which included male (n = 14,564) and female (n = 20,089) participants surveyed in 2001-2 and re-interviewed in 2004-5. Latent class (LCA) and latent transition analyses (LTA) were used to assess patterns of alcohol involvement in the US and the association of lifetime mood disorders at baseline with transition across stages of alcohol involvement during follow-up. RESULTS: A three-class model of AUD criteria was identified (No problems, Moderate problems and Severe problems) for both sexes. Positive cross-sectional associations between mood disorder and problem classes of alcohol involvement were found among both sexes, as were positive longitudinal associations. Propensity score adjustment mitigated the associations of baseline mood disorder with progressive transition for both sexes. However, among females, baseline mood disorder was consistently associated with reduction in remission from Severe to Moderate alcohol problems (aOR = 0.30, CI = 0.09-0.99, p = .048) over time. DISCUSSION: Our study provides evidence that mood disorders impact transition through stages of alcohol involvement and are most strongly associated with hindering remission among females. Findings advance our understanding of these comorbid relationships and have clinical implications for ongoing assessment of drinking patterns among individuals with mood disorders.
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: Rosa M Crum; Ramin Mojtabai; Samuel Lazareck; James M Bolton; Jennifer Robinson; Jitender Sareen; Kerry M Green; Elizabeth A Stuart; Lareina La Flair; Anika A H Alvanzo; Carla L Storr Journal: JAMA Psychiatry Date: 2013-07 Impact factor: 21.596
Authors: Kerry M Green; Beth A Reboussin; Lauren R Pacek; Carla L Storr; Ramin Mojtabai; Bernadette A Cullen; Rosa M Crum Journal: Subst Use Misuse Date: 2019-07-12 Impact factor: 2.164
Authors: Lauren R Pacek; Beth A Reboussin; Kerry M Green; Lareina N LaFlair; Carla L Storr; Anika A H Alvanzo; Ramin Mojtabai; Bernadette Cullen; Andrea S Young; Kayla Tormohen; Kira Riehm; Rosa M Crum Journal: Int J Methods Psychiatr Res Date: 2019-05-29 Impact factor: 4.035
Authors: Anika A H Alvanzo; Carla L Storr; Beth Reboussin; Kerry M Green; Ramin Mojtabai; Lareina N La Flair; Bernadette A Cullen; Ryoko Susukida; Marissa Seamans; Rosa M Crum Journal: Child Abuse Negl Date: 2020-07-16
Authors: Karl C Alcover; Abram J Lyons; Oladunni Oluwoye; Ian D Muse; Morgan E Kelly; Michael G McDonell Journal: Alcohol Date: 2021-08-16 Impact factor: 2.405
Authors: John I Nurnberger; Ziyi Yang; Yong Zang; Laura Acion; Laura Bierut; Kathleen Bucholz; Grace Chan; Danielle M Dick; Howard J Edenberg; John Kramer; Samuel Kuperman; John P Rice; Marc Schuckit Journal: J Psychiatr Brain Sci Date: 2019-10-25
Authors: Kerry M Green; Beth A Reboussin; Carla L Storr; Ramin Mojtabai; Ryoko Susukida; Andrea S Young; Bernadette A Cullen; Amanda Luken; Masoumeh Amin-Esmaeili; Rosa M Crum Journal: Addict Behav Rep Date: 2022-01-26