Epidemiology and Phenomenology of Compulsive Buying Disorder

2012 ◽  
Author(s):  
Donald W. Black
Keyword(s):  
Substance Use ◽  
Substance Use Disorders ◽  
Impulse Control ◽  
Psychiatric Comorbidity ◽  
Clinical Symptoms ◽  
Compulsive Buying ◽  
Buying Behavior ◽  
Axis Ii ◽  
Women Subjects ◽  
Compulsive Buying Disorder

Compulsive buying disorder (CBD) is defined as excessive shopping cognitions and buying behavior that leads to distress or impairment. This chapter presents an overview of its definition and recognition, clinical symptoms, epidemiology, natural history, and both cultural and family factors. Compulsive buying disorder is found worldwide and has a lifetime prevalence of 5.8% in the U.S. general population. The disorder has a female preponderance, has an onset in the late teen years or early 20s, appears to be chronic or recurrent, and occurs mainly in women. Subjects with CBD report a preoccupation with shopping, prepurchase tension or anxiety, and a sense of relief following a purchase. Compulsive buying disorder is associated with significant psychiatric comorbidity, particularly mood and anxiety disorders, substance use disorders, eating disorders, other disorders of impulse control, and Axis II disorders, although there is no special “shopping” personality. The disorder tends to run in families, and these families are filled with mood and substance use disorders.

scholarly journals Psychiatric Comorbidity in Droup Out from Educational Attainment Attending Tertiary Care Hospital

2018 ◽  
Vol 26 ◽  
pp. 38-42
Author(s):  
MS Islam ◽  
SMAA Mamun ◽  
AA Mamun Hossain
Keyword(s):  
Substance Use ◽  
Secondary Education ◽  
Mental Disorders ◽  
Substance Use Disorders ◽  
Primary Education ◽  
Impulse Control ◽  
Psychiatric Comorbidity ◽  
Tertiary Education ◽  
Tertiary Care ◽  
Higher Secondary Education

Background: Studies of the impact of mental disorders on educational attainment are rare. Mental disorders, those beginning in childhood or adolescence may increase the risk of early droup out from education. The latter has been shown to have adverse life-course consequences on individuals such as greater demand on social welfare entitlements.Objective: To find out socio-demographic status and psychiatric comorbidity profile of patients with education droup out.Design: Descriptive cross sectional study.Setting: All cases were selected from patients attending at Comilla Medical College hospital and Tertiary Care hospitals in Comilla City from August 2014 to April 2015.Methods: A total of 50 droup out patients aged 10 to 30 years who fullfiled the enrolment criteria included in the study. A semi structural questionnaire, DSM-5 and ICD-10 have been used as research instruments. The Frequency tables, summary tables and appropriate graphs were prepared to describe the population characteristics and study finding.Result: Total 62 participants were approach for interview. Considering inclusion and exclusion criteria finally 50 patients were selected for the study. In this study, anxiety disorders was 8%, behaviour/ impulse control disorders was 8%, mood disorders was 16%, substance use disorders was 24%, schizophrenia spectrum disorders was 12% and composite psychiatric disorders was 32%. Among droup out patient’s non- completion of primary education was 14%, non- completion of secondary education was 20%, non- completion of higher secondary education was 24%, not entry to tertiary education was 12% and non- completion of tertiary education was 30%. Among behaviour/impulse control disorders non- completion of primary education was 6%, substance use disorders non- completion of higher secondary education was 10%, mood disorder both non- completion of higher secondary education and non- completion of tertiary education were 6%. Among composite psychiatric disorders non- completion of secondary education, non- completion of higher secondary education and non- completion of tertiary education were 8%, 6% and 12% respectively. Socioeconomic status represented the homogenous result in this study. Most of the psychiatric morbidity was male (62%) and age group of 18-24 years (54%).Conclusion: Onset of mental disorder and subsequent droup out from education that was found in this study. Further multi-centered prospective and population-based studies should be desined to fint out the exact situation.TAJ 2013; 26: 38-42

Psychiatric Comorbidity in Patients With Substance Use Disorders: Do Not Forget Axis II Disorders

2001 ◽  
Vol 31 (5) ◽  
pp. 321-331 ◽  
Author(s):  
John S Cacciola ◽  
Arthur I Alterman ◽  
James R McKay ◽  
Megan J Rutherford
Keyword(s):  
Substance Use ◽  
Substance Use Disorders ◽  
Psychiatric Comorbidity ◽  
Axis Ii

scholarly journals A Comparative Study of Psychiatric Comorbidity in Male Adolescents with Substance use Disorders and Male Adolescents with Conduct Disorder

2000 ◽  
Vol 23 (1) ◽  
pp. 41-46
Author(s):  
Anrn Selvanayagam, D ◽  
Balm Ponmani Stephen ◽  
Senthil Kumar M ◽  
Suresh Kumar M ◽  
Raj Kumar R ◽  
...  
Keyword(s):  
Substance Use ◽  
Conduct Disorder ◽  
Comparative Study ◽  
Substance Use Disorders ◽  
Psychiatric Comorbidity ◽  
Male Adolescents

scholarly journals Patients with stroke and psychiatric comorbidities have lower carotid revascularization rates

Neurology ◽  
2019 ◽  
Vol 92 (22) ◽  
pp. e2514-e2521 ◽  
Author(s):  
Diana M. Bongiorno ◽  
Gail L. Daumit ◽  
Rebecca F. Gottesman ◽  
Roland Faigle
Keyword(s):  
Mental Illness ◽  
Substance Use ◽  
Carotid Stenosis ◽  
Substance Use Disorders ◽  
Psychiatric Comorbidity ◽  
Cross Sectional ◽  
Psychiatric Comorbidities ◽  
Lower Odds ◽  
Carotid Revascularization ◽  
Psychiatric Conditions

ObjectiveWe investigated whether mental illness is associated with lower rates of carotid endarterectomy (CEA)/carotid artery stenting (CAS) after stroke due to carotid stenosis.MethodsIn this retrospective cross-sectional study, ischemic stroke cases due to carotid stenosis were identified in the 2007–2014 Nationwide (National) Inpatient Sample. Psychiatric conditions were identified by secondary ICD-9-CM diagnosis codes for schizophrenia/psychoses, bipolar disorder, depression, anxiety, or substance use disorders. Using logistic regression, we tested the association between psychiatric conditions and CEA/CAS, controlling for demographic, clinical, and hospital factors.ResultsAmong 37,474 included stroke cases, 6,922 (18.5%) had a psychiatric comorbidity. The presence of any psychiatric condition was associated with lower odds of CEA/CAS (adjusted odds ratio [OR] 0.84, 95% confidence interval [CI] 0.78–0.90). Schizophrenia/psychoses (OR 0.72, 95% CI 0.55–0.93), depression (OR 0.83, 95% CI 0.75–0.91), and substance use disorders (OR 0.73, 95% CI 0.65–0.83) were each associated with lower odds of CEA/CAS. The association of mental illness and CEA/CAS was dose-dependent: compared to patients without mental illness, patients with multiple psychiatric comorbidities (OR 0.74, 95% CI 0.62–0.87) had lower odds of CEA/CAS than those with only one psychiatric comorbidity (OR 0.86, 95% CI 0.79–0.92; p value for trend <0.001).ConclusionThe odds of carotid revascularization after stroke is lower in patients with mental illness, particularly those with schizophrenia/psychoses, depression, substance use disorders, and multiple psychiatric diagnoses.

Prevalence and Severity of Psychiatric Comorbidities

2018 ◽  
Author(s):  
Stephanie Yarnell ◽  
Ellen Edens
Keyword(s):  
Substance Use ◽  
Substance Use Disorders ◽  
Impulse Control ◽  
Clinical Case ◽  
Psychiatric Comorbidities ◽  
National Comorbidity Survey Replication ◽  
Psychiatric Conditions ◽  
Study Intervention ◽  
Landmark Study

Chapter 20—The Prevalence and Severity of Psychiatric Comorbidities provides a summary of a landmark study in epidemiology, the The National Comorbidity Survey Replication (NCS-R). This chapter study sought to answer some fundamental questions. How common are comorbid psychiatric conditions? What are the prevalence and severity rates for comorbid anxiety, mood, impulse control, and substance use disorders? Starting with these questions, this chapter describes the basics of the study, including funding, study location, who was studied, how many patients, study design, study intervention, follow-up, endpoints, results, and criticism and limitations. The chapter briefly reviews other relevant studies and information, discusses implications, and concludes with a relevant clinical case.

The Relationships Between Impulse-Control Disorders, Compulsion Disorders, and Addictions

2013 ◽  
Author(s):  
Gordon MacNeil ◽  
B. Michelle Brazeal
Keyword(s):  
Substance Use ◽  
Substance Use Disorders ◽  
Impulse Control ◽  
Impulse Control Disorders ◽  
Traditional Model ◽  
Behavioral Addictions ◽  
Dynamic Relationship ◽  
New Research ◽  
The Relationship

This article presents information regarding the evolving understanding of the relationships between impulse-control disorders, compulsion-related disorders, and addictions (both substance-related and behavioral). The traditional model describing the relationship between impulse-control disorders and compulsion-related disorders is now considered overly simplistic. New research suggests that this relationship is complex, and distinctions between these disorders are not as solid as previously thought. Information about this dynamic relationship also has implications for substance use disorders and behavioral addictions.

A comparison of DSM-III-R, DSM-IV and ICD-10 substance use disorders diagnoses in 1922 men and women subjects in the COGA study

Addiction ◽  
1994 ◽  
Vol 89 (12) ◽  
pp. 1629-1638 ◽  
Author(s):  
MARC A. SCHUCKIT ◽  
VICTOR HESSELBROCK ◽  
JAYSON TIPP ◽  
ROBERT ANTHENELLI ◽  
KATHLEEN BUCHOLZ ◽  
...  
Keyword(s):  
Substance Use ◽  
Substance Use Disorders ◽  
Men And Women ◽  
Women Subjects ◽  
Icd 10 ◽  
Dsm Iv
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