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1.
Curr Geriatr Rep ; 10(3): 82-90, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34336549

RESUMO

PURPOSE OF REVIEW: The prevalence of alcohol use disorder (AUD) among older adults in the United States is rising, but remains underdiagnosed, underreported, and inadequately managed. This review highlights the medical, social, and cultural factors of AUD in older adults and provides guidelines for its screening, evaluation, and management. RECENT FINDINGS: The COVID-19 pandemic has created additional challenges and barriers to care, as older adults may have disproportionate worsening of anxiety, depression, and substance use resulting from increased isolation related to physical distancing and shelter-in-place guidelines. SUMMARY: All older adults should be routinely screened for AUD with standardized screening tools. If a patient's screening results are positive, a clinician should conduct a brief assessment, which may be supplemented by laboratory tests. Most older adults at risk for alcohol misuse do not need specialized SUD treatment, but most can benefit from Screening, Brief Intervention, and Referral to Treatment (SBIRT) to prevent substance misuse before it occurs. Medications for the treatment of AUD in older adults include naltrexone, acamprosate, disulfiram, gabapentin and topiramate. Psychosocial treatments, including mutual help groups, are equally important.

2.
Am J Addict ; 2018 Apr 18.
Artigo em Inglês | MEDLINE | ID: mdl-29667712

RESUMO

BACKGROUND AND OBJECTIVES: While alcohol use disorder is prevalent in U.S. veterans, little is known about the nature and determinants of predominant trajectories of alcohol consumption in this population. The objective of the current study was to identify predominant trajectories of alcohol consumption over a 4-year period, and baseline determinants of these trajectories in veterans. METHODS: Data were analyzed from the National Health and Resilience in Veteran Study, which surveyed a nationally representative sample of 3,157 veterans (Wave 1). Assessments (Waves 2 and 3) were conducted every 2 years thereafter. Alcohol consumption was assessed using the Alcohol Use Disorders Identification Test-Consumption, a brief alcohol screen for identifying problematic drinking based on alcohol consumption. Wave 1 sociodemographic, military, health, and psychosocial variables were examined as possible determinants of trajectories of alcohol consumption. RESULTS: Latent growth mixture modeling revealed that a four-class model best fit the data: rare drinkers (65.3%), moderate drinkers (30.2%), excessive drinkers (2.6%), and recovering drinkers (1.9%). Lifetime major depressive disorder (MDD) was linked to an excessive drinking trajectory, while fewer medical conditions and lower social support were linked to a moderate drinking trajectory. Having a secure attachment style and greater social support, and absence of lifetime MDD was linked to recovery from excessive drinking. CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: Four predominant trajectories of alcohol consumption were identified. Targeting MDD and related interpersonal factors such as attachment style and social support in population-based prevention and treatment initiatives may help prevent, mitigate, and promote recovery from excessive alcohol consumption in veterans. (Am J Addict 2018;XX:1-8).

3.
MedEdPORTAL ; 13: 10649, 2017 11 01.
Artigo em Inglês | MEDLINE | ID: mdl-30800850

RESUMO

Introduction: High-fidelity mannequin-based simulation is frequently used to compliment medical student education during clinical clerkships. However, psychiatric educators have not broadly adopted this modality, focusing rather on standardized patient actors. We developed and delivered a simulation case involving a patient with alcohol withdrawal and lithium toxicity followed by a debriefing session to medical students at the end of their psychiatric clerkship. Methods: The case involves a 40-year-old male truck driver with a history of bipolar disorder who presents to the emergency room after a truck accident. The patient is in alcohol withdrawal, which responds to benzodiazepines. A workup reveals that the patient also has lithium toxicity related to the co-ingestion of lithium and naproxen for pain. Participants learn to evaluate and treat alcohol withdrawal, consider medical comorbidities and legal consequences, and complete a brief intervention for substance use. This case requires a simulation mannequin. Results: To date, 150 second-, third-, and fourth-year medical students have participated in this case and 76 have been surveyed. Participants have provided a postsession rating of 4.49 on a 5-point Likert scale (1 = strongly disagree and 5 = strongly agree) on a question about enjoyment, and 3.93 on a question about confidence with evaluation and treatment of patients in alcohol withdrawal. Discussion: Psychiatric education currently underutilizes mannequin-based simulation compared to other medical disciplines. Mannequin simulation is feasible and effective in psychiatric education, especially in cases involving medical complexity, as shown in this novel case involving a patient with alcohol withdrawal and lithium toxicity.


Assuntos
Alcoolismo/complicações , Lítio/toxicidade , Acidentes de Trânsito/psicologia , Adulto , Alcoolismo/tratamento farmacológico , Alcoolismo/psicologia , Anti-Inflamatórios não Esteroides/efeitos adversos , Anti-Inflamatórios não Esteroides/uso terapêutico , Benzodiazepinas/uso terapêutico , Transtorno Bipolar/complicações , Transtorno Bipolar/tratamento farmacológico , Transtorno Bipolar/psicologia , Estágio Clínico/métodos , Humanos , Lítio/efeitos adversos , Lítio/uso terapêutico , Masculino , Veículos Automotores , Naproxeno/efeitos adversos , Naproxeno/uso terapêutico , Dor/tratamento farmacológico , Simulação de Paciente , Estudantes de Medicina/estatística & dados numéricos , Inquéritos e Questionários
4.
Addiction ; 111(10): 1786-94, 2016 10.
Artigo em Inglês | MEDLINE | ID: mdl-27061707

RESUMO

AIMS: To analyze data from a large, contemporary, nationally representative sample of US veterans to evaluate: (1) the prevalence of life-time alcohol use disorder (AUD) and past-year AUD; (2) common psychiatric comorbidities associated with life-time AUD; and (3) correlates of life-time and past-year probable AUD. DESIGN: Data were analyzed from the National Health and Resilience in Veterans Study (NHRVS), a web-based survey of a random probability sample of a contemporary, nationally representative sample of US military veterans. SETTING: United States. PARTICIPANTS: Nationally representative sample of 3157 US veterans aged 21 years and older. MEASUREMENTS: Life-time alcohol abuse and dependence were assessed according to DSM-IV diagnostic criteria using the Mini International Neuropsychiatric Interview, and combined into a single variable: AUD. Past-year probable AUD was assessed using the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C). Correlates of AUD, including psychiatric comorbidities, suicidality and demographic characteristics, were also assessed. FINDINGS: The prevalence of life-time AUD and past-year probable AUD was 42.2% [95% confidence interval (CI) = 40.5-43.9%)] and 14.8% (95% CI = 13.6-16.0%), respectively. Compared with veterans without AUD, those with life-time AUD had substantially elevated rates of life-time and current mood and anxiety disorders [odds ratios (ORs) = 2.6-4.1], drug use disorder (OR = 10.7), life-time suicide attempt (OR = 4.1) and current suicidal ideation (OR = 2.1). Younger age, male sex, lower education, lower annual household income and greater number of life-time traumatic events were associated independently with life-time AUD. Younger age, male sex, unpartnered marital status and a life-time diagnosis of major depressive disorder were associated independently with past-year probable AUD. CONCLUSIONS: More than 40% of US military veterans have a life-time history of alcohol use disorder. Veterans with a life-time history of alcohol use disorder have substantial comorbid psychiatric burden, including elevated rates of suicidal ideation and attempts. Certain socio-demographic (e.g. younger age, male sex, lower education) and clinical (e.g. trauma burden, history of depression) characteristics are associated with increased risk of AUD.


Assuntos
Alcoolismo/epidemiologia , Veteranos/estatística & dados numéricos , Adulto , Distribuição por Idade , Idoso , Efeitos Psicossociais da Doença , Feminino , Humanos , Masculino , Transtornos Mentais/epidemiologia , Pessoa de Meia-Idade , Prevalência , Resiliência Psicológica , Fatores de Risco , Distribuição por Sexo , Fatores Socioeconômicos , Ideação Suicida , Estados Unidos/epidemiologia , Adulto Jovem
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