Related Experiment Video
Updated: Feb 8, 2026
14:40
Expression Analysis of Mammalian Linker-histone Subtypes
Published on: March 19, 2012
14.2K
Subtyping attenuated psychotic symptoms: A cluster analytic approach
Julien Laloyaux1,2,3, Frank Larøi1,2,3, Filip Nuyens4,5
1Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway.
Journal of Clinical Psychology
|June 23, 2018
Summary
This study identified five distinct clusters of individuals with attenuated psychotic symptoms (PS) and related personality traits. Findings reveal how personality factors differentially influence these symptom profiles, enhancing understanding of PS heterogeneity.
Area of Science:
- Psychiatry
- Psychology
- Behavioral Science
Background:
- Attenuated psychotic symptoms (PS) represent a spectrum of experiences that may precede the onset of psychosis.
- Understanding the heterogeneity of PS and associated personality factors is crucial for early intervention and risk assessment.
Purpose of the Study:
- To investigate the diverse profiles of attenuated psychotic symptoms (PS) within the general population.
- To examine the relationship between specific personality factors (encoding style, impulsivity) and these symptom clusters.
Main Methods:
- Cluster analysis was employed on a large general population sample.
- Participants were assessed for attenuated psychotic and affective symptomatology, as well as encoding style and impulsivity traits.
Main Results:
- Five distinct clusters emerged: High Psychosis, High Positive, High Negative, High Impulsive-Low Psychosis, and Low Psychosis.
- Personality factors were found to be differentially associated with the identified symptom clusters, highlighting their varied roles.
Conclusions:
- Reliable and distinct clusters of individuals based on PS and personality factors can be identified in the general population.
- The observed heterogeneity in symptom profiles offers valuable insights into the nature of attenuated psychotic experiences and has significant theoretical and clinical implications.
Related Concept Videos
02:42Transcription Attenuation in Prokaryotes
18.5K
Transcriptional attenuation occurs when RNA transcription is prematurely terminated due to the formation of a terminator mRNA hairpin structure. Bacteria use these hairpins to regulate the transcription process and control the synthesis of several amino acids including histidine, lysine, threonine, and phenylalanine. Transcription attenuation takes place in the non-coding regions of mRNA.
There are several different mechanisms used to attenuate transcription. In ribosome mediated...
There are several different mechanisms used to attenuate transcription. In ribosome mediated...
18.5K
01:27Psychosis: Pathophysiology of Schizophrenia and Other Psychotic Disorders
2.0K
Schizophrenia is a neurodevelopmental disorder whose origins are rooted in complex genetic components. Despite our burgeoning understanding, the pathophysiology of this disorder remains incompletely deciphered.
Researchers have identified genetic factors that increase susceptibility to schizophrenia, underscoring the intricate interplay between genetics and environment in disease development. At the core of schizophrenia's pathophysiology is excessive dopaminergic neurotransmission within...
Researchers have identified genetic factors that increase susceptibility to schizophrenia, underscoring the intricate interplay between genetics and environment in disease development. At the core of schizophrenia's pathophysiology is excessive dopaminergic neurotransmission within...
2.0K
01:15Diabetes: Symptoms, Diagnosis, and Complications
2.4K
For most patients, experiencing several weeks of polyuria, polydipsia, fatigue, and significant weight loss may indicate the presence of diabetes. Furthermore, adults displaying the phenotypic appearance of type 2 diabetes (particularly those who are obese and not initially insulin-requiring), may have islet cell autoantibodies, suggesting autoimmune-mediated β cell destruction and a diagnosis of latent autoimmune diabetes of adults (LADA). The categorization of glucose homeostasis is...
2.4K
01:30Negative and Cognitive Symptoms of Schizophrenia
604
Negative symptoms of schizophrenia indicate a reduction or absence of typical behaviors and emotional responses found in healthy individuals, while positive symptoms reflect an excess or distortion of normal functioning.
Negative Symptoms
Negative symptoms of schizophrenia manifest as deficits in normal emotional and behavioral functioning, profoundly impacting daily life. Individuals with schizophrenia often display a flat affect, characterized by a near-total absence of emotional expression,...
Negative Symptoms
Negative symptoms of schizophrenia manifest as deficits in normal emotional and behavioral functioning, profoundly impacting daily life. Individuals with schizophrenia often display a flat affect, characterized by a near-total absence of emotional expression,...
604
01:21Development of Analytical Methods
2.3K
An analytical methodology can be divided into four sequential steps: technique, method, procedure, and protocol. A technique is a scientific principle that rationalizes a specific phenomenon through chemical measurements. Adapting a technique for analyzing a sample of interest is termed a method. The procedure outlines the directions for performing the analysis via an analytical method. The protocol is the detailed guidelines on the procedure, which should be strictly followed to obtain the...
2.3K
01:20Cluster Sampling Method
14.8K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
14.8K