2015
DOI: 10.1007/s00127-015-1033-2
|View full text |Cite
|
Sign up to set email alerts
|

Categories, continua and the growth of psychiatric knowledge

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
8
0

Year Published

2015
2015
2019
2019

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 10 publications
(8 citation statements)
references
References 10 publications
0
8
0
Order By: Relevance
“…Nosologies such as the DSM and ICD characterize mental health problems as a set of discrete, 'disease-like' entities. Although this approach has undoubtedly led to advancements in our understanding of mental illhealth, limitations such as arbitrary thresholds (Bebbington, 2015;Krueger & Eaton, 2015), heterogeneity within diagnostic categories (Fried, 2015;Olbert, Gala, & Tupler, 2014) and symptom overlap across diagnostic categories (Borsboom, Cramer, Schmittmann, Epskamp, & Waldorp, 2011), have likely contributed to the problems of high comorbidity and poor reliability. These issues in turn may have impeded our attempts to uncover and understand core physiological markers (Cross-Disorder Group of the Psychiatric Genomics Consortium, 2013; Kapur, Phillips, & Insel, 2012;Kendler, 2005;Sullivan, Daly, & O'donovan, 2012) and environmental risk factors for psychopathology (Green et al, 2010), and this has led to increasing calls to move towards data-driven models that may better capture the inherent complexity of psychopathological phenotypes (Kotov, Krueger, & Watson, 2018;Van Dam et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…Nosologies such as the DSM and ICD characterize mental health problems as a set of discrete, 'disease-like' entities. Although this approach has undoubtedly led to advancements in our understanding of mental illhealth, limitations such as arbitrary thresholds (Bebbington, 2015;Krueger & Eaton, 2015), heterogeneity within diagnostic categories (Fried, 2015;Olbert, Gala, & Tupler, 2014) and symptom overlap across diagnostic categories (Borsboom, Cramer, Schmittmann, Epskamp, & Waldorp, 2011), have likely contributed to the problems of high comorbidity and poor reliability. These issues in turn may have impeded our attempts to uncover and understand core physiological markers (Cross-Disorder Group of the Psychiatric Genomics Consortium, 2013; Kapur, Phillips, & Insel, 2012;Kendler, 2005;Sullivan, Daly, & O'donovan, 2012) and environmental risk factors for psychopathology (Green et al, 2010), and this has led to increasing calls to move towards data-driven models that may better capture the inherent complexity of psychopathological phenotypes (Kotov, Krueger, & Watson, 2018;Van Dam et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…1 Although this dichotomy remains in DSM-5, 2 the need for a dimensional approach to classification in psychiatry, 3 and inclusion of such an approach in updated versions of DSM-5 4 and the impending ICD-11 5 continues to be debated in view of calls for research that looks across diagnostic categories 3,5 and the persistent challenge of high comorbidity rates. [3][4][5][6][7][8] In recent years, the Kraepelinian dichotomy has been challenged in light of evidence on common aetiological factors in schizophrenia and bipolar disorder. 9 Evidence has accumulated that genetic risk is partly shared between schizophrenia and bipolar disorder.…”
mentioning
confidence: 99%
“…In his interesting Editorial on Categories, continua and the growth of psychiatric knowledge, Paul Bebbington [1] slightly mis-states my earlier paper. I was not arguing that all common mental disorders can be reduced to ''overarching anxious depression domain, together with single symptom qualifiers such as obsession or panic'', for two reasons: first, the additional symptoms are in the form of a multi-symptom sets of symptoms rather than a single symptom, and second it is possible to have a common mental disorder without being at all anxious-for example, non-anxious depression.…”
mentioning
confidence: 99%