Suicidal ideation and substance use among adolescents and young adults: a bidirectional relation?

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2014-09

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Abstract

To examine reciprocal associations between substance use (cigarette smoking, use of alcohol, marijuana, and other illegal drugs) and suicidal ideation among adolescents and young adults (aged 11-21 at wave 1; aged 24-32 at wave 4).Four waves public-use Add Health data were used in the analysis (N=3342). Respondents were surveyed in 1995, 1996, 2001-2002, and 2008-2009. Current regular smoking, past-year alcohol use, past-year marijuana use, and ever use of other illegal drugs as well as past-year suicidal ideation were measured at the four waves (1995, 1996, 2001-2002, and 2008-2009). Fixed effects models with lagged dependent variables were modeled to test unidirectional associations between substance use and suicidal ideation, and nonrecursive models with feedback loops combining correlated fixed factors were conducted to examine reciprocal relations between each substance use and suicidal ideation, respectively.After adjusting for the latent time-invariant effects and lagged effects of dependent variables, the unidirectional associations from substance use to suicidal ideation were consistently significant, and vice versa. Nonrecursive model results showed that use of cigarette or alcohol increased risk of suicidal ideation, while suicidal ideation was not associated with cigarette or alcohol use. Reversely, drug use (marijuana and other drugs) did not increase risk of suicidal ideation, but suicidal ideation increased risk of illicit drug use.The results suggest that relations between substance use and suicidal ideation are unidirectional, with cigarette or alcohol use increasing risk of suicidal ideation and suicidal ideation increasing risk of illicit drug use.

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10.1016/j.drugalcdep.2014.05.025

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Zhang, Xiaoyun, and Li-Tzy Wu (2014). Suicidal ideation and substance use among adolescents and young adults: a bidirectional relation?. Drug and alcohol dependence, 142. pp. 63–73. 10.1016/j.drugalcdep.2014.05.025 Retrieved from https://hdl.handle.net/10161/19955.

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Scholars@Duke

Wu

Li-Tzy Wu

Professor in Psychiatry and Behavioral Sciences

Education/Training: Pre- and post-doctoral training in mental health service research, psychiatric epidemiology (NIMH T32), and addiction epidemiology (NIDA T32) from Johns Hopkins University School of Public Health (Maryland); Fellow of the NIH Summer Institute on the Design and Conduct of Randomized Clinical Trials.

Director: Duke Community Based Substance Use Disorder Research Program.

Research interests: COVID-19, Opioid misuse, Opioid overdose, Opioid use disorder, Opioid addiction prevention and treatment, Pain and addiction, Chronic diseases and substance use disorders, diabetes, pharmacy-based care models and services, medication treatment for opioid use disorder (MOUD), Drug overdose, Polysubstance use and disorders, cannabis, alcohol, tobacco, hallucinogens, stimulants, e-cigarette, SBIRT (substance use Screening, Brief Intervention, Referral to Treatment), EHR-based research and intervention, data science, psychometric analysis (IRT), epidemiology of addictions and comorbidity, behavioral health care integration, health services research (mental health disorders, substance use disorders, chronic diseases), nosology, research design, HIV risk behavior. 

FUNDED Research projects (Principal Investigator [PI], Site PI, or Sub-award PI): 
R03: Substance use/dependence (PI).
R21: Treatment use for alcohol use disorders (PI).
R21: Inhalant use & disorders (PI).
R01: MDMA/hallucinogen use/disorders (PI).
R01: Prescription pain reliever (opioids) misuse and use disorders (PI).
R01: Substance use disorders in adolescents (PI).
R21: CTN Substance use diagnoses & treatment (PI).
R33: CTN Substance use diagnoses & treatment (PI).
R01: Evolution of Psychopathology in the Population (ECA Duke site PI).
R01: Substance use disorders and treatment use among Asian Americans and Pacific Islanders (PI).
UG1: SBIRT in Primary Care (NIDA, PI).
UG1: TAPS Tool, Substance use screening tool validation in primary care (NIDA, PI).
UG1: NIDA CTN Mid-Southern Node (Clinical Trials Network, PI).
UG1: EHR Data Element Study (NIDA, PI).
UG1: Buprenorphine Physician-Pharmacist Collaboration in the Management of Patients With Opioid Use Disorder (NIDA, PI).
PCORI: INSPIRE-Integrated Health Services to Reduce Opioid Use While Managing Chronic Pain (Site PI).
CDC R01: Evaluation of state-mandated acute and post-surgical pain-specific CDC opioid prescribing (Site PI).
Pilot: Measuring Opioid Use Disorders in Secondary Electronic Health Records Data (Carolinas Collaborative Grant: Duke PI).
R21: Developing a prevention model of alcohol use disorder for Pacific Islander young adults (Subaward PI, Investigator).
UG1: Subthreshold Opioid Use Disorder Prevention Trial (NIH HEAL Initiative) (NIDA supplement, CTN-0101, Investigator).
NIDA: A Pilot Study to Permit Opioid Treatment Program Physicians to Prescribe Methadone through Community Pharmacies for their Stable Methadone Patients (NIDA/FRI: Study PI).
UG1: Integrating pharmacy-based prevention and treatment of opioid and other substance use disorders: A survey of pharmacists and stakeholder (NIH HEAL Initiative, NIDA, PI).
UG1: NorthStar Node of the Clinical Trials Network (NIDA, Site PI).
R34: Intervention Development and Pilot Study to Reduce Untreated Native Hawaiian and Pacific Islander Opioid Use Disorders (Subaward PI, Investigator).
UG1: Optimal Policies to Improve Methadone Maintenance Adherence Longterm (OPTIMMAL Study) (NIDA, Site PI).
R01: Increasing access to opioid use disorder treatment by opening pharmacy-based medication units of opioid treatment programs (NIDA, PI)
R01: Preventing Alcohol Use Disorders and Alcohol-Related Harms in Pacific Islander Young Adults (Subaward PI, Investigator).
R01: Understanding the short- and long-term effects of the COVID-19 pandemic on the overdose crisis (Subaward PI, Investigator).



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