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Long-Term Trajectory of Substance Abuse and Psychiatric Comorbidity Rumi Kato Price, PhD, mpe
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tarix | 15.05.2018 | ölçüsü | 507 b. | | #44329 |
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Long-Term Trajectory of Substance Abuse and Psychiatric Comorbidity* Washington University School of Medicine St. Louis MO, USA E-mail price@rkp.wustl.edu
Acknowledgments* National Institute on Drug Abuse (K02DA00221, R01DA09281). Longer Life Foundations, Washington University School of Medicine and the Reinsurance Group of America. National Institute of Mental Health (R01MH60691).
VES Long-Term Followups. Questions to Address: In what ways is long-term drug use harmful? Why do some drug users continue to abuse drugs so long? What areas do we expect problems will get worse?
VES Long-Term Followups Mortality and Morbidity over 30 Years Mortality. Drug use transition patterns. Social and physical functioning. Psychiatric profiles over time. Drug abuse, PTSD and suicidality. Predictors of remission from drug abuse over time. Emerging drug use trends in middle age.
VES Long-Term Followups
VES Samples (N=1,227): Demographic Characteristics
Substance Use and Psychiatric Problems (%)
Why A 95% Remission Rate? Military personnel are different from civilian addicts - less psychopathology. Later age of onset. “Setting” - extinguishing conditional response was easy after coming back to U.S. (Zinberg, Archive 1972). Lack of availability of drugs after return to U.S.
VES Long-Term Followups: Mortality and Morbidity over 25 Years
Drugs kill. Drugs kill. A more malignant picture of the long-term impact of heroin use starting in Vietnam. Alcoholism and depression additional significant risk factors for premature death up to mid-40’s. Even a short-term intensive drug use appears to signal premature death.
VES-III. 25-Year Followup Drug use transition patterns. Social and physical functioning. Psychiatric profiles over time. Drug abuse, PTSD and suicidality. Patterns of remission from drug abuse over time.
Alcohol Heavy alcohol use1 Dependence2 Alcohol Heavy alcohol use1 Dependence2 Any illicit drug Heavy use Dependence/abuse2 Marijuana Heavy use Dependence/abuse2 Cocaine Heavy use Opiates Heavy use Illicit drugs other Heavy use than marijuana Dependence/abuse2
Landmark events (negative or positive). Landmark events (negative or positive). Employment. Employment. Married or cohabitating. Number of children.1 Number of important people (max = 4).1 Number of important people who are regular alcohol/drug users (max = 4).1
Posttraumatic stress disorder (PTSD) (based on traumatic event before or 1972 or after).1,2 Posttraumatic stress disorder (PTSD) (based on traumatic event before or 1972 or after).1,2 Major depression.1,2 Adult antisocial personality (ASP).1,2 Suicidal ideation.1
Sampling status (D+, D-, nonveteran). Sampling status (D+, D-, nonveteran). Enlistment status. Aptitude (military IQ test). Race. High school education. Age. Family psychopathology (depression, ASP symptoms, drinking problems, drug problems, hospitalization, life interference, suicide attempts).
Annual Prevalence Rates of Psychopathology:1972-1996
Yearly Size Social Circles: 1972-19961
VES Long-Term Followups: Mortality and Morbidity over 30 Years
Dynamics of Polydrug Abuse Over Time What’s the relationship between use of one drug and use of another drug over time? Is there evidence for switching from “harder” drug to a “softer” drug (“substitution” hypothesis)? Is there evidence for reducing the number of drugs abused (“unpiling” hypothesis)? Is there evidence for quitting all together at once (“rock-bottom” hypothesis)?
Latent Transition Analysis Estimation For 2 classes, 2 times, 3 endorsement items to endorse: P(Y) = n Ln (1111211311T11112 212312 +1111211311T12 122 222322 +2121221321T21112 212312 +2121221321T22 122 222322). P(Y) - Total log likelihood. i - Probability of starting in class i. Tij - Transition probability. kit - Endorsement probability for item k if the observation is in class i at time t. n - Number of observations with the given pattern of endorsement. The EM algorithm to select parameters that maximize P(Y).
Latent Transition Model of Polydrug Abuse*
LTA Endorsement Patterns: Alcohol + Nicotine - 4 classes, Unconstrained
Polydrug use is certainly common; however, substance abusers appear to have their “choice” of substance. Polydrug use is certainly common; however, substance abusers appear to have their “choice” of substance. Gradually increasing abstinence applies to most substances, except for cocaine. Switching of the main substance use is asymmetrical (MJ to ALC, OP to COC). “Narrowing of repertoire” occurs gradually over time.
VES Long-Term Followups Consequences of Drug Abuse over 30 Years
VES Long-Term Followups Consequences of Drug Abuse over 30 Years
PTSD most stable over time; drug dependence declines, but suicidal behavior increases over time to midlife. PTSD most stable over time; drug dependence declines, but suicidal behavior increases over time to midlife. Associations become stronger over time. Alcohol dependence and antisocial personality not as strong as predictors of suicidal ideation over time. Drug dependence exacerbates PTSD and suicidal ideation; once the course is set, self-medication kicks in.
VES Long-Term Followups: Mortality and Morbidity over 30 years
Patterns and Predictors of Remission Are the remission patterns stable over time? Are the remission patterns different across classes of substances? How common is spontaneous remission? Are the predictors of remission the same as covariates of long-term abuse?
A reasonable range of inclusion criteria beyond any use. A reasonable range of inclusion criteria beyond any use. - Alcohol - 7+ drinks/day, daily drinking 2+ weeks, 6+ drinks/day/per week for several weeks.
- Nicotine - 20 cigarettes/day at least year.
- Marijuana and other illicit drugs - 5+ times use.
Abuse to remission threshold higher than occasional use, but lower than DSM level. - Alcohol: on - 7+ drinks/day when drinking most; off - quit attempt 3+ months.
- Nicotine: on - 20 cigarettes/day usually; off - quit attempt 3+ months.
- Marijuana other illicit drugs - “Most frequent” use;
- off - not “most frequent use.”
VES Long-Term Followups: Mortality and Morbidity over 30 years Predictors of remission - Can we detect a symptom pattern that is likely to lead to remission?
Flow of the ANN: A Multilayer Perceptron (MLP) Model
VES Long-Term Followups Symptom Patterns Predicting Remission Predictive power was in a good range when socio-environmental measures were included; better than DSM symptoms alone. Unique ANN weights capturing subtle changes? e.g., Hazardous use accompanied remission from cocaine heavy use and operated differently from severity symptoms (potentially a “make or break”role). Time-dependent logistic regression and on ANN weight structure analyses were inconsistent.
VES-IV: “Suicide” Study Quasi case-control design to take advantage of the existence of a large number of suicidals. Episode-based interview to capture protective factors mitigating suicide risk. Quantitative-qualitative integration to examine the patterns of interactions between risk and protective factors.
VES Long-Term Followups: Mortality and Morbidity over 30 years
VES Limitations Special population: disadvantaged Vietnam veterans with high levels of trauma and opiate exposure. Cohort and gender specific population. Impact of censoring by death unknown. Yearly-assessed measures not available for some behaviors. Most yearly measured retrospective self-report since 1972. Measures since 1996 still tentative.
VES Followups Over 30 Years Summary (1)
VES Followups Over 30 Years Summary (2)
VES Followups over 30 Years Summary (3)
VES-III & IV Collaborators WU Medicine Rumi Kato Price, Lee Robins, Edward Spitznagel, George Murphy, Collins Lewis WU Social Work Enola Proctor, Sally Haywood Readjustment Counseling Services (Vet Center) Gary Collins, Rodney Haug, Robert Mathes St. Louis Crisis Services Center G. Lee Judy Contract Work Research Triangle Institute, Psychemedics
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