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Associations between the Five-Factor Model personality traits and psychotic experiences in patients with psychotic disorders, their siblings and controls

Overview of attention for article published in Psychiatry Research, July 2013
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Title
Associations between the Five-Factor Model personality traits and psychotic experiences in patients with psychotic disorders, their siblings and controls
Published in
Psychiatry Research, July 2013
DOI 10.1016/j.psychres.2013.06.040
Pubmed ID
Authors

Lindy-Lou Boyette, Nikie Korver-Nieberg, Kim Verweij, Carin Meijer, Peter Dingemans, Wiepke Cahn, Lieuwe de Haan, for GROUP

Abstract

Earlier studies indicated that personality characteristics contribute to symptomatic outcome in patients with psychotic disorders. The aim of the present study was to further explore this connection by examining the relationship between the Five-Factor Model (FFM) personality traits and a dimensional liability for psychosis. FFM traits according to the NEO-FFI and levels of subclinical psychotic symptoms according to the CAPE were assessed in 217 patients with psychotic disorders, 281 of their siblings and 176 healthy controls. Psychotic symptoms according to the PANSS were assessed in the patient group. Patients differed from siblings and controls on four of the five FFM traits, all but Openness. Siblings reported higher levels of Neuroticism than controls, but lower levels than patients. Particularly lower Agreeableness, and to a lesser degree, higher Neuroticism and lower Extraversion were associated with more severe symptoms in patients. Furthermore, higher Neuroticism and higher Openness were associated with higher levels of subclinical psychotic experiences in all three groups. Associations were strongest in patients. Our findings suggest that levels of Neuroticism increase with the level of familial risk for psychosis. Levels of Openness may reflect levels of impairment that distinguish clinical from subclinical symptomatology.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 2%
United States 2 2%
Finland 1 1%
Unknown 94 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 15%
Student > Master 13 13%
Student > Bachelor 13 13%
Researcher 11 11%
Student > Doctoral Student 10 10%
Other 15 15%
Unknown 22 22%
Readers by discipline Count As %
Psychology 47 47%
Medicine and Dentistry 16 16%
Neuroscience 3 3%
Agricultural and Biological Sciences 2 2%
Computer Science 1 1%
Other 2 2%
Unknown 28 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 December 2014.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from Psychiatry Research
#6,731
of 7,587 outputs
Outputs of similar age
#186,711
of 209,585 outputs
Outputs of similar age from Psychiatry Research
#126
of 138 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,587 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.