TY - JOUR
T1 - Psychopathology, social adjustment and personality correlates of schizotypy clusters in a large nonclinical sample
AU - Barrantes-Vidal, Neus
AU - Lewandowski, Kathryn E.
AU - Kwapil, Thomas R.
N1 - Funding Information:
Neus Barrantes-Vidal and Thomas R. Kwapil were supported by grants from the Universitat Autònoma de Barcelona ( EME2007-25 ), the Spanish Ministerio de Ciencia e Innovación ( PSI2008-04178 ), and the Generalitat de Catalunya ( 2009SGR672 ).
PY - 2010/9
Y1 - 2010/9
N2 - Introduction: Correlational methods, unlike cluster analyses, cannot take into account the possibility that individuals score highly on more than one symptom dimension simultaneously. This may account for some of the inconsistency found in the literature of correlates of schizotypy dimensions. This study explored the clustering of positive and negative schizotypy dimensions in nonclinical subjects and whether schizotypy clusters have meaningful patterns of adjustment in terms of psychopathology, social functioning, and personality. Methods: Positive and negative schizotypy dimensional scores were derived from the Chapman Psychosis-Proneness Scales for 6137 college students and submitted to cluster analysis. Of these, 780 completed the NEO-PI-R and Social Adjustment Scale-self report version, and a further 430 were interviewed for schizophrenia-spectrum, mood, and substance use psychopathology. Results: Four clusters were obtained: low (nonschizotypic), high positive, high negative, and mixed (high positive and negative) schizotypy. The positive schizotypy cluster presented high rates of psychotic-like experiences, schizotypal and paranoid symptoms, had affective and substance abuse pathology, and was open to experience and extraverted. The negative schizotypy cluster had high rates of negative and schizoid symptoms, impaired social adjustment, high conscientiousness and low agreeableness. The mixed cluster was the most deviant on almost all aspects. Conclusions: Our cluster solution is consistent with the limited cluster analytic studies reported in schizotypy and schizophrenia, indicating that meaningful profiles of schizotypy features can be detected in nonclinical populations. The clusters identified displayed a distinct and meaningful pattern of correlates in different domains, thus providing construct validity to the schizotypy types defined.
AB - Introduction: Correlational methods, unlike cluster analyses, cannot take into account the possibility that individuals score highly on more than one symptom dimension simultaneously. This may account for some of the inconsistency found in the literature of correlates of schizotypy dimensions. This study explored the clustering of positive and negative schizotypy dimensions in nonclinical subjects and whether schizotypy clusters have meaningful patterns of adjustment in terms of psychopathology, social functioning, and personality. Methods: Positive and negative schizotypy dimensional scores were derived from the Chapman Psychosis-Proneness Scales for 6137 college students and submitted to cluster analysis. Of these, 780 completed the NEO-PI-R and Social Adjustment Scale-self report version, and a further 430 were interviewed for schizophrenia-spectrum, mood, and substance use psychopathology. Results: Four clusters were obtained: low (nonschizotypic), high positive, high negative, and mixed (high positive and negative) schizotypy. The positive schizotypy cluster presented high rates of psychotic-like experiences, schizotypal and paranoid symptoms, had affective and substance abuse pathology, and was open to experience and extraverted. The negative schizotypy cluster had high rates of negative and schizoid symptoms, impaired social adjustment, high conscientiousness and low agreeableness. The mixed cluster was the most deviant on almost all aspects. Conclusions: Our cluster solution is consistent with the limited cluster analytic studies reported in schizotypy and schizophrenia, indicating that meaningful profiles of schizotypy features can be detected in nonclinical populations. The clusters identified displayed a distinct and meaningful pattern of correlates in different domains, thus providing construct validity to the schizotypy types defined.
KW - Cluster analysis
KW - Personality
KW - Psychopathology
KW - Schizophrenia
KW - Schizotypy
KW - Social adjustment
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U2 - 10.1016/j.schres.2010.01.006
DO - 10.1016/j.schres.2010.01.006
M3 - Article
C2 - 20138738
AN - SCOPUS:77956182185
SN - 0920-9964
VL - 122
SP - 219
EP - 225
JO - Schizophrenia Research
JF - Schizophrenia Research
IS - 1-3
ER -