A Co-Morbidity of Alcohol Dependence with Other Psychiatric Disorders in Young Adult Mexican Americans

2007 ◽  
Vol 26 (4) ◽  
pp. 31-40 ◽  
Author(s):  
David A. Gilder ◽  
Philip Lau ◽  
Abigail Gross ◽  
Cindy L. Ehlers
Author(s):  
Pankaj Kanwar ◽  
Ravi C. Sharma ◽  
Dinesh D. Sharma ◽  
Neeraj Kanwar

Background: The alcohol use disorders are frequently associated with other co-morbid psychiatric disorders. The aim of this study was to describe the demographic variables, drinking history and psychiatric co-morbidity in alcohol dependent subjects.Methods: In this study, 40 consecutive patients were enrolled. After a minimum 1 month of sobriety, patients who fulfilled ICD-10 criteria of alcohol dependence were interviewed for data collection using Alcohol Use Disorders Identification Test (AUDIT), MINI-International Neuropsychiatric Interview (MINI) (Version-6.0) and a specially designed sociodemographic and clinical interview proforma. Subjects with substance use except tobacco were excluded from study. Main group comparison used chi-square test for categorical variables and the t-test for continuous variables.Results: Most of the patients studied were >40 years of age. Majority were employed (92%), lived in nuclear families (78%) and came from rural background (77.5%). Forty five percent of the patients initiated alcohol drinking between 16-25 years and reported peer pressure (50%) as most significant factor responsible for initiation of drinking alcohol. Mean age of developing alcohol dependence was 25.12 years (SD=4.28). Mean AUDIT score for subjects was 27.7 (SD=4.73). Lifetime psychiatric co-morbid disorders were detected in 45%. Psychiatric disorders most frequently associated with alcohol dependence were major depressive disorder (10%), bipolar affective disorder (7.5%), dysthymia (5%), anxiety disorders (7.5%) and antisocial personality disorder (5%).Conclusion: The study indicates that psychiatric disorders are prevalent in alcohol dependents and mood disorders are the most prevalent ones. It was also observed that co-morbid psychiatric disorders are associated with more severe alcohol problems.


1998 ◽  
Vol 28 (3) ◽  
pp. 509-517 ◽  
Author(s):  
S. S. BASSETT ◽  
G. A. CHASE ◽  
M. F. FOLSTEIN ◽  
D. A. REGIER

Background. The purpose of this analysis was to examine: (1) the prevalence of psychiatric disorders among disabled people, using seven different measures of disability; (2) variation in disability between and within psychiatric diagnostic categories; and (3) relationship of diagnosis and disability to health service utilization.Method. Data were drawn from Phase I and Phase II of the Eastern Baltimore Mental Health Survey, part of the Epidemiologic Catchment Area Program (ECA) conducted in 1980–1 to survey mental morbidity within the adult population. A total of 810 individuals received both a household interview and a standardized clinical psychiatric evaluation. Estimated prevalence rates were computed using appropriate survey sampling weights.Results. Prevalence of disability ranged from 2·5 to 19·5%, varying with specific disability measure. Among those classified as disabled by any of the measures examined, 56 to 92% had a psychiatric disorder and serious chronic medical conditions were present in the majority of these cases (54 to 78%). Disability was expressed differently among the various diagnostic groups. Diagnostic category and disability were significant independent predictors of medical service utilization and receipt of disability payments.Conclusions. The majority of disabled adults living in the community have diagnosable psychiatric disorders, with the majority of these individuals suffering from significant chronic medical conditions as well, thus making co-morbidity the norm.


Author(s):  
Sivaji M. ◽  
Manickavasagam J. ◽  
Indumathi Sundaramurthi ◽  
Gopinathan S.

Background: Co morbidity between headache and psychiatric disorders is more prevalent in chronic headache patients. The bipolar disorders and anxiety disorders are predominant in migraine and TTH respectively. This co morbidities have a poor reflection and impact on quality and outcome of chronic headache patients and results in worst prognosis and poor response to medical treatment.Methods: The chronic headache patients especially migraine and tension type of headache were analyzed with following materials such as the structured psychiatric clinical interview with ICD-10 mental and behavioural disorder, DSM-5 criteria. HAM-A, HAM-D, BDI-2, BPRS, young mania rating scale, Yale-Brown Obsessive Compulsive Scale (Y-BOCS) and panic disorder scale.Results: Various subsets of bipolar disorder and anxiety disorder were found as follows: 74% of migraineurs are associated with psychiatric disorders in which bipolar affective disorder 6%, depressive episode 48%, dysthymia 30%, GAD 10% and Panic disorder 6%. 52% of TTH are associated with psychiatric disorders as follows: major depressive episode 52%, GAD 30%, separation anxiety disorder 6%, PTSD 7%, OCD 3% and panic disorder 2%.Conclusions: From previous and future studies the headache can be identified according to subsets of headache with psychiatric disorders make easier to provide appropriate pharmacological and psychological treatment which may reduce the chronicity and intractability of headache.


2019 ◽  
Vol 26 (5) ◽  
pp. 1041-1051
Author(s):  
Yukiko Staub ◽  
Yukio Suga ◽  
Yasuhiro Ikawa ◽  
Kiyotaka Tsubouchi ◽  
Mikie Hashimoto ◽  
...  

Background Corticosteroid-induced psychiatric disorders (CIPDs) represent an adverse effect that can cause severe emotional and behavioral problems. The aim of the present study was to assess the incidence and risk factors of CIPDs. Methods A retrospective analysis of 92 pediatric and young adult patients with hematologic malignancies was conducted. Results The incidence of CIPDs in patients receiving a treatment regimen with prednisolone or dexamethasone was 64.9% and 77.5%, respectively, both of which were significantly higher than that in patients not receiving corticosteroids. Independent risk factors and adjusted odds ratios (95% confidence intervals) related to severe CIPD were 2.15 (1.11–4.18) for dexamethasone (using prednisolone as the reference) and 0.81 (0.75–0.87) for age, suggesting that the odds increase with decreasing age. Frequently observed symptoms, respectively in terms of behavioral and emotional problems were defiance, crying, psychomotor excitement, dysphoria, irritability, and depression. To our knowledge, this is the first report to mention the risk factors and characteristics for clinical symptoms of CIPDs during the developmental process. Conclusions Healthcare professionals should predict and prepare for psychiatric adverse events prior to chemotherapy in the clinical settings, especially in patients in younger age and receiving a treatment regimen with dexamethasone.


2017 ◽  
Vol 41 (S1) ◽  
pp. S596-S596
Author(s):  
M. Christensen ◽  
A. Drago

IntroductionCo-morbidity between cancer and psychiatric disorders including adjustment disorder, depressive disorders or angst can seriously influence the prognosis and the quality of life of patients.AimThe identification of the psychological and biological profile of patients at risk for such co-morbidity is not yet available. Classical candidate genes such as the BDNF, the 5-HTLPR and genes whose products are involved in inflammatory events have received some attention, but results are inconclusive.Object and methodsIn the present review the association between cancer and psychiatric disorders is reviewed, a focus on the investigation of the Gene X environment and the epigenetic control over the activation of the HPA axis is proposed as a tool to refine the definition of the biologic profile at risk for co-morbidity between psychiatry and cancer.Results and conclusionA number of genes and socio-demographic variables that may influence risk to suffer from a psychiatric disorder after a diagnosis of cancer is identified and discussed. The identification of such biologic and socio-demographic profile is instrumental in the identification of subjects at risk of a double diagnosis, both somatic and psychiatric. An early identification of such profile risk would pave the way to the implementation of early intervention strategies.Disclosure of interestThe authors have not supplied their declaration of competing interest.


Sign in / Sign up

Export Citation Format

Share Document