Drinking trajectories from adolescence to the fifties among alcohol-dependent men.
- Authors
- Jacob, Theodore; Koenig, Laura B; Howell, Donelle N; Wood, Phillip K; Haber, Jon Randolph
- Year
- 2009
- Journal
- Journal of studies on alcohol and drugs
- PMID
- 19895762
- DOI
- 10.15288/jsad.2009.70.859
- PMCID
- PMC2776117
OBJECTIVE: Although it has been recognized that the course of alcoholism may differ across individuals, little work has characterized drinking trajectories from drinking onset to midlife. METHOD: The current study examined trajectories of alcohol dependence from adolescence to the mid-50s in a sample of 420 men with a lifetime diagnosis of alcohol dependence. Men from the Vietnam Era Twin Registry were given the Lifetime Drinking History, which assesses the patterns of alcohol consumption and diagnostic symptoms for self-defined drinking phases. Phase data were converted into person-year data, with alcohol-dependence diagnosis coded as present or absent for each of 13 age groupings, starting with up to age 20 and ending with ages 54-56. RESULTS: Latent growth mixture modeling was used to define four drinking trajectories: young-adult, late-onset, severe-nonchronic, and severe-chronic alcoholics. Further analyses with other diagnostic variables, other drinking variables, alcohol expectancies, personality scales, and religiousness scores were completed to differentiate men best categorized by each trajectory. CONCLUSIONS: Extension of Latent Growth Mixture Modeling (LGMM) into the mid-50s revealed that, although some individuals remain chronic alcohol users, others decline in alcohol problem use. Differences seen among these groups may help in the treatment of alcohol dependence, such that more energy can be spent treating those likely to be in the more severe trajectories.
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| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Characterizing midlife-onset alcohol dependence: Implications for etiology, prevention, and healthy aging. | Khalifeh L et al. | β | 2025 | β |
| Changes over time in endorsement of 11 DSM-IV alcohol use disorder (AUD) criteria in young adults with persistent or recurrent AUD in The Collaborative Study on the Genetics of Alcoholism. | Schuckit MA et al. | β | 2023 | β |
| The Potential for Prevention Science in Middle and Late Adulthood: a Commentary on the Special Issue of Prevention Science. | Epstein M et al. | β | 2023 | β |
| A systematic review and meta-analysis on the association between solitary drinking and alcohol problems in adults. | Skrzynski CJ et al. | β | 2021 | β |
| Endorsement of specific alcohol use disorder criterion items changes with age in individuals with persistent alcohol use disorders in 2 generations of the San Diego Prospective Study. | Schuckit MA et al. | β | 2021 | β |
| Young adult cancer risk behaviours originate in adolescence: a longitudinal analysis using ALSPAC, a UK birth cohort study. | Wright C et al. | β | 2021 | β |
| Transitions in alcohol use over time: a survival analysis. | Koenig LB et al. | β | 2020 | β |
| A Pilot Follow-Up Study of Older Alcohol-Dependent COGA Adults. | Chan G et al. | β | 2019 | β |
| Longitudinal Drinking Patterns and Their Clinical Correlates in Million Veteran Program Participants. | Vickers Smith R et al. | β | 2019 | β |
| A 22-Year Follow-Up (Range 16 to 23) of Original Subjects with Baseline Alcohol Use Disorders from the Collaborative Study on Genetics of Alcoholism. | Schuckit MA et al. | β | 2018 | β |
| A Prospective Comparison of How the Level of Response to Alcohol and Impulsivity Relate to Future DSM-IV Alcohol Problems in the COGA Youth Panel. | Schuckit MA et al. | β | 2017 | β |
| Drinking Status Between Ages 50 and 55 for Men From the San Diego Prospective Study Who Developed DSM-IV Alcohol Abuse or Dependence in Prior Follow-Ups. | GonΓ§alves PD et al. | β | 2017 | β |
| No Reliable Evidence That Emotional Disorders Are Proximal Antecedents, Concomitants, or Short-Term Consequences of First Episode Alcohol Use Disorders in a Representative Community Sample. | Farmer RF et al. | β | 2017 | β |
| Longitudinal phenotypes for alcoholism: Heterogeneity of course, early identifiers, and life course correlates. | Jester JM et al. | β | 2016 | β |
| Drinking trajectories among HIV-infected men who have sex with men: a cohort study of United States veterans. | Marshall BD et al. | β | 2015 | β |
| Socio-contextual factors are linked to differences in the course of problem drinking in midlife: A discordant-twin study. | M Blonigen D et al. | β | 2015 | β |
| Childhood and adolescent predictors of heavy episodic drinking and alcohol use disorder at ages 21 and 33: a domain-specific cumulative risk model. | Lee JO et al. | β | 2014 | β |
| Trajectories of alcohol use over time among adults with alcohol dependence. | Cranford JA et al. | β | 2014 | β |
| Using growth mixture modeling to identify classes of sodium adherence in adults with heart failure. | Masterson Creber R et al. | β | 2014 | β |
| Lifetime drinking trajectories among veterans in treatment for HIV. | Jacob T et al. | β | 2013 | β |
| Predictors of initial and sustained remission from alcohol use disorders: findings from the 30-year follow-up of the San Diego Prospective Study. | Trim RS et al. | β | 2013 | β |
| Psychiatric morbidity is linked to problem drinking in midlife among alcohol-dependent men: a co-twin control study. | Blonigen DM et al. | β | 2013 | β |
| Religion/spirituality, risk, and the development of alcohol dependence in female twins. | Haber JR et al. | β | 2013 | β |
| Can patterns of alcohol use disorder in young adulthood help explain gender differences in depression? | Lee JO et al. | β | 2012 | β |
| Drinking course through midlife based on diagnostic versus quantity-frequency indices. | Jacob T et al. | β | 2012 | β |
| Is alcohol dependence best viewed as a chronic relapsing disorder? | Cunningham JA et al. | β | 2012 | β |
| The effects of general and alcohol-specific peer factors in adolescence on trajectories of alcohol abuse disorder symptoms from 21 to 33 years. | Lee JO et al. | β | 2012 | β |
| Incremental validity of college alcohol beliefs in the prediction of freshman drinking and its consequences: a prospective study. | Osberg TM et al. | β | 2011 | β |
| Onset and course of alcoholism over 25 years in middle class men. | Schuckit MA et al. | β | 2011 | β |
| Twenty-year alcohol-consumption and drinking-problem trajectories of older men and women. | Brennan PL et al. | β | 2011 | β |
| Course of alcohol dependence among Vietnam combat veterans and nonveteran controls. | Jacob T et al. | β | 2010 | β |
| Prospective follow-up of empirically derived Alcohol Dependence subtypes in wave 2 of the National Epidemiologic Survey on Alcohol And Related Conditions (NESARC): recovery status, alcohol use disorders and diagnostic criteria, alcohol consumption behavior, health status, and treatment seeking. | Moss HB et al. | β | 2010 | β |