Diagnostic Validity of the Sleep Condition Indicator to Screen for Diagnostic and Statistical Manual-5 Insomnia Disorder in Patients with Parkinson’s Disease

2021 ◽  
pp. 1-7
Author(s):  
Sophie Bayard ◽  
Cindy Lebrun ◽  
Alexia Arifi-Rossignol ◽  
Christian Geny ◽  
Marie-Christine Gély-Nargeot ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Factor Analysis ◽  
Clinical Interview ◽  
Divergent Validity ◽  
Statistical Manual ◽  
Diagnostic And Statistical Manual ◽  
Dsm 5 ◽  
Insomnia Disorder ◽  
Sleep Condition ◽  
Condition Indicator

<b><i>Background:</i></b> Insomnia is a highly common sleep disorder in patients with Parkinson’s disease (PD). Yet, no screening questionnaires following the Diagnostic and Statistical Manual-5 (DSM-5) criteria have been validated in PD patients. <b><i>Objectives:</i></b> We assessed the validity and reliability of the French version of the sleep condition indicator (SCI), in patients with PD. <b><i>Methods:</i></b> In a sample of 65 patients (46% women, mean age 63.8 ± 7.9 years) with PD, but without dementia, insomnia was assessed with a clinical interview and the SCI. Statistical analyses were performed to determine the reliability, construct validity, and divergent validity of the SCI. In addition, an explanatory factor analysis was performed to assess the underlying structure of the SCI. <b><i>Results:</i></b> Of the 65 patients (mean duration PD 9.7 ± 6.9 years), 51% met the criteria for insomnia disorder when measured with a clinical interview. The mean SCI score was 18.05 ± 8.3. The internal consistency (α = 0.89) of the SCI was high. Using the previously defined cutoff value of ≤16, the area under the receiver operating characteristic curve was 0.86 with a sensitivity of 86% and a specificity of 87%. Exploratory factor analysis showed a 2-factor structure with a focus on sleep and daytime effects. Additionally, good construct and divergent validity were demonstrated. <b><i>Conclusion:</i></b> The SCI can be used as a valid and reliable screener for DSM-5 insomnia disorder in PD patients. Due to its short length, it is useful in both clinical practice and scientific research.

scholarly journals Validation of a French version of the Sleep Condition Indicator: a clinical screening tool for insomnia disorder according to DSM-5 criteria

2017 ◽  
Vol 26 (6) ◽  
pp. 702-708 ◽  
Author(s):  
Sophie Bayard ◽  
Cindy Lebrun ◽  
Khaalid Hassan Maudarbocus ◽  
Vanessa Schellaert ◽  
Alicia Joffre ◽  
...  
Keyword(s):  
Screening Tool ◽  
Clinical Screening ◽  
French Version ◽  
Dsm 5 ◽  
Insomnia Disorder ◽  
Sleep Condition ◽  
Condition Indicator

Italian validation of the Sleep Condition Indicator: A clinical screening tool to evaluate Insomnia Disorder according to DSM-5 criteria

2015 ◽  
Vol 98 (3) ◽  
pp. 435-440 ◽  
Author(s):  
Laura Palagini ◽  
Gloria Ragno ◽  
Lisa Caccavale ◽  
Alessia Gronchi ◽  
Michele Terzaghi ◽  
...  
Keyword(s):  
Screening Tool ◽  
Clinical Screening ◽  
Dsm 5 ◽  
Italian Validation ◽  
Insomnia Disorder ◽  
Sleep Condition ◽  
Condition Indicator

scholarly journals Prevalence and associated factors of DSM-5 insomnia disorder in the general population of Qatar

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Salma Mawfek Khaled ◽  
Catalina Petcu ◽  
Maryam Ali Al-Thani ◽  
Aisha Mohammed H. A. Al-Hamadi ◽  
Suhad Daher-Nashif ◽  
...  
Keyword(s):  
General Population ◽  
Health Anxiety ◽  
Multivariable Analysis ◽  
Risk Groups ◽  
Epidemiological Studies ◽  
Community Dwelling ◽  
Dsm 5 ◽  
Insomnia Disorder ◽  
Sleep Condition ◽  
Condition Indicator

Abstract Background Epidemiological studies of insomnia in the Middle East remain scarce. The present study aimed to estimate the prevalence of insomnia and explore its associations in the general population of Qatar. With almost 100 nationalities, Qatar is one of the most culturally diverse, richest, and fastest developing countries in the Arabian Peninsula. Methods A probability sample of community-dwelling adults were surveyed in February of 2019. A total of 1611 respondents completed face-to-face interviews in Arabic or English. Logistic regression modeled associations with insomnia, our dependent variable, as defined by a score of ≤16 on the eight-item Sleep Condition Indicator or according to criteria for insomnia in the Diagnostic & Statistical Manual of Mental Disorders, fifth edition or DSM-5. Results Approximately, 5.5% of the sample screened positive for insomnia and the 30-day prevalence of those who met all the DSM-5 criteria for insomnia disorder was 3.0%. In addition, 2.0% of the sample screened positive for depression and 3.4% for anxiety in the past 2 weeks. Multivariable analysis showed the following were significantly associated with insomnia: Arab ethnicity, young age, unemployment, being married, having less than high school education, fair or poor health, anxiety, and depression. Conclusions Insomnia prevalence was in the lower range of previously reported DSM-defined estimates from developed Western countries. Our findings highlight the need for raising awareness and improving sleep hygiene in potential risk groups such as younger adults and those of Arab ethnicity, in addition to incorporating insomnia screening in the provision of mental health services.

Comparison of Alcohol Use Disorders in DSM and ICD

2020 ◽  
Vol 66 (3) ◽  
pp. 143-153
Author(s):  
Jessica W. M. Wong ◽  
Friedrich M. Wurst ◽  
Ulrich W. Preuss
Keyword(s):  
Alcohol Use Disorders ◽  
International Classification Of Diseases ◽  
Clinical Use ◽  
Diagnostic Systems ◽  
Statistical Manual ◽  
Diagnostic And Statistical Manual ◽  
Dsm 5 ◽  
Classification Of Diseases ◽  
Historical Developments

Abstract. Introduction: With advances in medicine, our understanding of diseases has deepened and diagnostic criteria have evolved. Currently, the most frequently used diagnostic systems are the ICD (International Classification of Diseases) and the DSM (Diagnostic and Statistical Manual of Mental Disorders) to diagnose alcohol-related disorders. Results: In this narrative review, we follow the historical developments in ICD and DSM with their corresponding milestones reflecting the scientific research and medical considerations of their time. The current diagnostic concepts of DSM-5 and ICD-11 and their development are presented. Lastly, we compare these two diagnostic systems and evaluate their practicability in clinical use.

Angststörungen – von der ICD-10 zur ICD-11

2020 ◽  
pp. 1-5
Author(s):  
Timo D. Vloet ◽  
Marcel Romanos
Keyword(s):  
Mental Disorders ◽  
International Classification Of Diseases ◽  
International Classification ◽  
Statistical Manual ◽  
Diagnostic And Statistical Manual ◽  
Dsm 5 ◽  
Classification Of Diseases ◽  
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.

Diagnoses, Dimensions, and DSM-5

2010 ◽  
pp. 254-279
Author(s):  
Thomas A. Widiger ◽  
Maryanne Edmundson
Keyword(s):  
Substance Use ◽  
Mental Disorders ◽  
Paradigm Shift ◽  
Empirical Support ◽  
Statistical Manual ◽  
Diagnostic And Statistical Manual ◽  
Dsm 5 ◽  
Dimensional Classification ◽  
Diagnosis And Classification

The Diagnostic and Statistical Manual of Mental Disorders, Third Edition (DSM-III) is often said to have provided a significant paradigm shift in how psychopathology is diagnosed. The authors of DSM-5 have the empirical support and the opportunity to lead the field of psychiatry to a comparably bold new future in diagnosis and classification. The purpose of this chapter is to address the validity of the categorical and dimensional models for the classification and diagnosis of psychopathology. Considered in particular will be research concerning substance use disorders, mood disorders, and personality disorders. Limitations and concerns with respect to a dimensional classification of psychopathology are also considered. The chapter concludes with a recommendation for a conversion to a more quantitative, dimensional classification of psychopathology.

Sign in / Sign up

Export Citation Format

Share Document