Personality Disorder in a Nigerian Prison Community

Epidemiological Studies ◽

Chi Square ◽

Icd 10 ◽

Prison Community ◽

The 19Th Century

Background: Personality disorders have since the 19th century been known and established as psychiatric diagnosis, yet very few epidemiological studies have been done. Absence of information about this disorder in the prisons led to the assessment of its prevalence in Agodi prisons in Nigeria. Objective: To determine the prevalence of personality disorder in a prison community. Methods: A total of 213 inmates who met the study criteria were interviewed, using (IPDE) International Personality Disorder Examination, a semi structured questionnaire modified to conform to DSM 111-R (Diagnostic and Statistical Manual) and ICD-10 (International Classification of Diseases) classifications. Using the Statistical Package for Social Sciences (SPSS/PC+), cross tabulation of the variables was obtained using chi-square and t- test. Results: The results showed that at least 31% of prison inmates have personality disorders with antisocial personality disorder being most prevalent. A strong association between criminality and personality disorder was established.

Comorbidity pattern of personality disorder and reliability of diagnostic and statistical manual-111-R and international classification of diseases-10 in assessing personality disorders

International Journal of Advances in Medicine ◽

10.18203/2349-3933.ijam20205037 ◽

2020 ◽

Vol 7 (12) ◽

pp. 1762

Author(s):

Nonyenim Solomon Enyidah ◽

Esther Ijeoma Nonye-Enyidah

Keyword(s):

Personality Disorder ◽

Personality Disorders ◽

Clinical Setting ◽

Prison Inmates ◽

Statistical Manual ◽

Icd 10

Background: Comorbidity of personality disorders (PD) is mostly assessed in relation to axis1 disorders in spite of its high prevalence in clinical practice. It’s assessment in the prison community, a non-clinical setting, using the diagnostic and statistical manual (DSM-111-R) and the international classification of diseases (ICD-10) may reveal the natural pattern of axis-11 comorbidity and test the reliability of both instruments in assessing PD. Objectives of the study were to determine the pattern of comorbidity of PD in a non-clinical setting and to confirm the reliability of DSM-111-R and ICD-10 in assessing PD.Methods: Healthy prison inmates who consented to the study were interviewed using international personality disorder examination (IPDE), a semi structured questionnaire modified to conform to DSM-111-R and ICD-10 classifications and approved by World health organization (WHO). The data obtained was fed into the statistical package for social sciences (SPSS/PC+). Cross tabulation of variables using chi-square and t-tests. Agreement between both instruments was examined with kappa.Results: The study shows that ICD-10 is more likely to diagnose PD than DSM-111-R. Both instruments showed good concordance for schizoid, histrionic, and dependent PD, poor concordance for obsessive and borderline PD and very poor concordance for avoidant PD. The likelihood of having more than one axis-11 disorder is high lightened.Conclusions: Pattern of PD in the prison has been established. DSM-111-R and ICD-10 have been found reliable in assessing PD except for avoidant PD where they disagreed. The high rate of multiple PD diagnoses in prison inmates calls for functional health care programs in the prisons.

ICD-11 and DSM-5 personality trait domains capture categorical personality disorders: Finding a common ground

Australian & New Zealand Journal of Psychiatry ◽

10.1177/0004867417727867 ◽

2017 ◽

Vol 52 (5) ◽

pp. 425-434 ◽

Cited By ~ 18

Author(s):

Bo Bach ◽

Martin Sellbom ◽

Mathias Skjernov ◽

Erik Simonsen

Keyword(s):

Personality Disorder ◽

Mental Disorders ◽

Personality Disorders ◽

International Classification ◽

Statistical Manual ◽

Domain Models

Objective: The five personality disorder trait domains in the proposed International Classification of Diseases, 11th edition and the Diagnostic and Statistical Manual of Mental Disorders, 5th edition are comparable in terms of Negative Affectivity, Detachment, Antagonism/Dissociality and Disinhibition. However, the International Classification of Diseases, 11th edition model includes a separate domain of Anankastia, whereas the Diagnostic and Statistical Manual of Mental Disorders, 5th edition model includes an additional domain of Psychoticism. This study examined associations of International Classification of Diseases, 11th edition and Diagnostic and Statistical Manual of Mental Disorders, 5th edition trait domains, simultaneously, with categorical personality disorders. Method: Psychiatric outpatients ( N = 226) were administered the Structured Clinical Interview for DSM-IV Axis II Personality Disorders Interview and the Personality Inventory for DSM-5. International Classification of Diseases, 11th edition and Diagnostic and Statistical Manual of Mental Disorders, 5th edition trait domain scores were obtained using pertinent scoring algorithms for the Personality Inventory for DSM-5. Associations between categorical personality disorders and trait domains were examined using correlation and multiple regression analyses. Results: Both the International Classification of Diseases, 11th edition and the Diagnostic and Statistical Manual of Mental Disorders, 5th edition domain models showed relevant continuity with categorical personality disorders and captured a substantial amount of their information. As expected, the International Classification of Diseases, 11th edition model was superior in capturing obsessive–compulsive personality disorder, whereas the Diagnostic and Statistical Manual of Mental Disorders, 5th edition model was superior in capturing schizotypal personality disorder. Conclusion: These preliminary findings suggest that little information is ‘lost’ in a transition to trait domain models and potentially adds to narrowing the gap between Diagnostic and Statistical Manual of Mental Disorders, 5th edition and the proposed International Classification of Diseases, 11th edition model. Accordingly, the International Classification of Diseases, 11th edition and Diagnostic and Statistical Manual of Mental Disorders, 5th edition domain models may be used to delineate one another as well as features of familiar categorical personality disorder types. A preliminary category-to-domain ‘cross walk’ is provided in the article.

The Death of Histrionic Personality Disorder

The Oxford Handbook of Personality Disorders ◽

10.1093/oxfordhb/9780199735013.013.0028 ◽

2012 ◽

pp. 602-627

Author(s):

Roger K. Blashfield ◽

Shannon M. Reynolds ◽

Bethany Stennett

Keyword(s):

Personality Disorder ◽

Empirical Support ◽

Journal Literature ◽

Histrionic Personality Disorder ◽

Text Revision ◽

Icd 10

Histrionic personality disorder (HPD) is a diagnosis in the Diagnostic and Statistical Manual of Mental Disorders, text revision (DSM-IV-TR) and the International Classification of Diseases, tenth edition (ICD-10). The first section of this chapter defines HPD and discusses its history, starting with hysteria. The emphasis of this section is the documentation that HPD is a dying disorder that has generated little clinical or research interest as shown by the small empirical journal literature and the minimal textbook coverage. The second section of the chapter discusses the issues associated with the demise of HPD. These issues are (1) the belief that HPD is a sex-biased diagnosis, (2) the apparent failure of HPD to carve out a descriptively unique syndrome, (3) the associated loss of influence of psychoanalytic thinking in psychiatry and psychology, and (4) current efforts to overhaul the personality disorders in the upcoming DSM-5 by introducing a hybrid model and deleting categorical diagnoses with less clinical and/or empirical support.

Use of the ICD-10 version of the Standardized Assessment of Personality to determine the prevalence of personality disorder in psychiatric in-patients

Psychological Medicine ◽

10.1017/s0033291700036692 ◽

1990 ◽

Vol 20 (4) ◽

pp. 985-992 ◽

Cited By ~ 40

Author(s):

John Pilgrim ◽

Anthony Mann

Keyword(s):

Personality Disorder ◽

Total Sample ◽

Structured Interview ◽

Standardized Assessment ◽

Icd 10 ◽

One Year ◽

First Admission

SynopsisThe Standardized Assessment of Personality (SAP) involves a short semi-structured interview with an informant. It was modified to accord with the 1987 draft of the tenth revision of the International Classification of Diseases (ICD-10) and used to assess the pre-morbid personality of first-admission patients in one London area over the period of one year. Of the 120 (84% of the total sample of first-admissions) patients included, 43 (36%) were found to satisfy the ICD-10 criteria for personality disorder and a further 17 (14%) to satisfy the criteria for personality trait accentuation.

A kórházi adatlapok jelentéseinek alkalmazhatósága epidemiológiai elemzésekre az ischaemiás cerebrovascularis betegségek példája alapján

Orvosi Hetilap ◽

10.1556/650.2015.30258 ◽

2015 ◽

Vol 156 (38) ◽

pp. 1540-1546 ◽

Cited By ~ 2

Author(s):

András Ajtay ◽

Ferenc Oberfrank ◽

Dániel Bereczki

Keyword(s):

Health Care Financing ◽

Epidemiological Studies ◽

Insurance Fund ◽

Cerebral Infarcts ◽

Hospital Report ◽

Single Payer ◽

Icd 10

Introduction: In single-payer health care financing systems data extracted from hospital report forms submitted for reimbursement purposes may be used for epidemiological investigations. Aim: Based on data submitted by 14 neurological wards in Central Hungary the authors examined the reliability of these reports. Method: Analyses were performed for the 3-digit codes of the 10th version of the International Classification of Diseases for cerebral infarcts (ICD-10 I63+I64) reported for the National Health Insurance Fund. Results: The number of cases in individual hospitals changed between a decrease by 35% and an increase by 73% from the first to the second half of the year 2012, reflecting changes in the size of the catchment area of the hospitals in July 2012. Of those with an ICD-10 I63 or I64 discharge diagnosis 54–84% had acute stroke. Neurological wards cared for 34–98% of all stroke patients. The diagnoses submitted for reimbursement purposes corresponded in over 99% to the diagnoses in the hospital discharge reports. Inaccuracies occurred in a larger proportion (about 20%) in coding the DRG financing categories. Conclusions: Databases created from hospital reports submitted for reimbursement purposes can be used reliably in Hungary for stroke epidemiological studies. Orv. Hetil., 2015, 156(38), 1540–1546.

DSM-IV and ICD-10 personality disorders: a comparison of a self-report questionnaire (DIP-Q) with a structured interview

European Psychiatry ◽

10.1016/s0924-9338(98)80013-8 ◽

1998 ◽

Vol 13 (5) ◽

pp. 246-253 ◽

Cited By ~ 51

Author(s):

H Ottosson ◽

O Bodlund ◽

L Ekselius ◽

M Grann ◽

L von Knorring ◽

...

Keyword(s):

Personality Disorder ◽

Healthy Volunteers ◽

Personality Disorders ◽

Intraclass Correlation ◽

Structured Interview ◽

Epidemiological Studies ◽

Self Report ◽

Expert Interview ◽

Icd 10 ◽

Dsm Iv

SummaryObjectiveDiagnosing personality disorders according to structured expert interviews is time-consuming and costly. For epidemiological studies, self-report instruments have several advantages. The DSM-IV and ICD-10 personality questionnaire (DIP-Q) is a selfreport questionnaire constructed to identify personality disorder according to DSM-IV and ICD-10.MethodsThe DIP-Q is validated vs a structured expert interview in a clinical sample of 138 individuals. In addition, prevalence rates yielded by DIP-Q among 136 healthy volunteers are assessed and compared to expected prevalence.ResultsFor DSM-IV the agreement for any personality disorder as measured by Cohen's Kappa was 0.61 and 0.56 for ICD-10. Overall sensitivity for any personality disorder was for DSM-IV 0.84 and for ICD-10 0.85. However, specificity was lower: 0.77 and 0.70, respectively. When dimensional scores between self-report and interview for each personality disorder were compared, the intraclass correlation for the DSMIV entities was 0.37–0.87 and for the ICD-10 entities 0.33–0.73. Among healthy volunteers the base rate of personality disorders was found to be 14%.ConclusionsDIP-Q can be used as a screening instrument for personality disorders according to DSM-IV and ICD-10. Self-report questionnaires such as DIP-Q will probably play an increasingly important role in future epidemiological studies.

Diagnostic classification of psychiatric disorders and familial-genetic research

Dialogues in Clinical Neuroscience ◽

10.31887/dcns.1999.1.3/wmaier ◽

1999 ◽

Vol 1 (3) ◽

pp. 191-196

Keyword(s):

Psychiatric Disorders ◽

Genetic Research ◽

Epidemiological Studies ◽

Classification Systems ◽

Detailed Knowledge ◽

Icd 10

The validity of diagnostic definitions in psychiatry is directly related to the extent to which their etiology can be specified. However, since detailed knowledge of causal or susceptibility factors is lacking for most psychiatric disorders with a known or suspected familial-genetic origin, the current widely accepted classification systems largely fail to achieve this ideal. To illustrate this problem, this paper looks at the difficulties posed by the criteria for schizophrenia as laid down in the International Classification of Diseases, 10th revision (ICD-10) and the Diagnostic and Statistical Manual of Mental Disorders, Third Edition, Revised (DSM-III-R), and highlights the discrepancies between the majority of diagnostic boundaries and the various phenotype aggregation patterns observed in family studies. Progress in our understanding of psychiatric disorders requires to be firmly based on the findings of epidemiological studies as well as on a clear appreciation of the limitations of classification tools.

Chronic pain syndromes in ICD 11. Complex therapy concept

Medical alphabet ◽

10.33667/2078-5631-2021-14-7-12 ◽

2021 ◽

pp. 7-12

Author(s):

M. V. Putilina ◽

N. V. Teplova ◽

A. V. Naumov

Keyword(s):

Chronic Pain ◽

Treatment Plan ◽

Epidemiological Studies ◽

Comprehensive Treatment ◽

Pain Syndromes ◽

Therapy Strategy ◽

Complex Therapy ◽

Icd 10

In the International Classiﬁcation of Diseases (ICD‑10), the diagnosis of chronic pain is not presented, which makes it difﬁcult to conduct accurate epidemiological studies and prevents the development of an adequate diagnosis and multimodal therapy strategy. ICD‑11 will be the ﬁrst version to include chronic pain as a diagnosis. According to the new concept, chronic pain is a real disease associated with multiple changes in the nervous, endocrine and immune systems. Developing a comprehensive treatment plan is of paramount importance and requires a multimodal plan that includes non‑drug and pharmacotherapeutic strategies for pain management. One of the promising areas of pharmacotherapy is the use of complex therapy regimens: meloxicam (Amelotex) – tolperisone (Calmirex) – B vitamins (compliments B).

Comorbidity within Axis-II Disorders: The Unending Issues

Journal of Advances in Medicine and Medical Research ◽

10.9734/jammr/2021/v33i1731022 ◽

2021 ◽

pp. 10-12

Author(s):

Nonyenim Solomon Enyidah ◽

Esther Ijeoma Nonye-Enyidah

Keyword(s):

Substance Use ◽

General Population ◽

Personality Disorders ◽

19Th Century ◽

Substance Use Disorder ◽

Strong Association ◽

Clinical Settings ◽

Axis Ii ◽

Prison Community ◽

The 19Th Century

Personality Disorders have since the 19th century been known and established as psychiatric diagnosis, yet till date, issues of definition still remain unresolved. With a prevalence of 10-15% of the general population, and it’s associated extreme disruption in the lives of the patients and the communities, it is still not a principle focus of treatment. It’s assessment and diagnosis have been restricted to clinical settings and drug treatment and rehabilitation centres. A study in a Nigerian prison community has revealed a comorbidity prevalence rate of 70% with substance use disorder, a 25% comorbidity prevalence within the personality disorders and a strong association between personality disorders and criminality.

Angststörungen – von der ICD-10 zur ICD-11

Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie ◽

10.1024/1422-4917/a000768 ◽

2020 ◽

pp. 1-5

Author(s):

Timo D. Vloet ◽

Marcel Romanos

Keyword(s):

Mental Disorders ◽

International Classification ◽

Statistical Manual ◽

Dsm 5 ◽

Icd 10

Zusammenfassung. Hintergrund: Nach 12 Jahren Entwicklung wird die 11. Version der International Classification of Diseases (ICD-11) von der Weltgesundheitsorganisation (WHO) im Januar 2022 in Kraft treten. Methodik: Im Rahmen eines selektiven Übersichtsartikels werden die Veränderungen im Hinblick auf die Klassifikation von Angststörungen von der ICD-10 zur ICD-11 zusammenfassend dargestellt. Ergebnis: Die diagnostischen Kriterien der generalisierten Angststörung, Agoraphobie und spezifischen Phobien werden angepasst. Die ICD-11 wird auf Basis einer Lebenszeitachse neu organisiert, sodass die kindesaltersspezifischen Kategorien der ICD-10 aufgelöst werden. Die Trennungsangststörung und der selektive Mutismus werden damit den „regulären“ Angststörungen zugeordnet und können zukünftig auch im Erwachsenenalter diagnostiziert werden. Neu ist ebenso, dass verschiedene Symptomdimensionen der Angst ohne kategoriale Diagnose verschlüsselt werden können. Diskussion: Die Veränderungen im Bereich der Angsterkrankungen umfassen verschiedene Aspekte und sind in der Gesamtschau nicht unerheblich. Positiv zu bewerten ist die Einführung einer Lebenszeitachse und Parallelisierung mit dem Diagnostic and Statistical Manual of Mental Disorders (DSM-5). Schlussfolgerungen: Die entwicklungsbezogene Neuorganisation in der ICD-11 wird auch eine verstärkte längsschnittliche Betrachtung von Angststörungen in der Klinik sowie Forschung zur Folge haben. Damit rückt insbesondere die Präventionsforschung weiter in den Fokus.