Spatial analysis of schizotypal personality traits in Chinese male youths: evidence from a GIS-based analysis of Sichuan
- Jiaxi Zhang†1,
- Wei Wang†1,
- Zhijun Tan†2,
- Qing Wu1, 3,
- Wei Xiao1Email author,
- Lei Shang2,
- Yan Zhang1,
- Jiaxi Peng1 and
- Danmin Miao1Email author
© Zhang et al.; licensee BioMed Central Ltd. 2014
Received: 3 December 2013
Accepted: 8 January 2014
Published: 15 January 2014
Schizotypal personality traits are associated with schizophrenia spectrum disorders, stating that schizotypal traits may represent a “prodrome” or other developmental precursor of schizophrenia. Genetic and environmental factors both play importanxt roles in the development of schizotypal traits. Different levels of schizotypal traits across regions may be indicative of similar differences in the incidence of schizophrenia.
The present study identifying where in a given region, schizotypal personality traits are more or less level of schizotypal personality scores in Chinese male youth of Sichuan province. Not only for research purposes but also for the evaluation of new draft and allocation policy initiatives intended to aid recruitment of mental health employees.
Data from the Psychological Selection Systems for Chinese Recruits, a mental health screening system used in China, collected in 2011 (67,558 copies) were used to map spatial distribution of schizotypal personality traits using geostatistics and geographic information system (GIS) techniques. Correlation analyses were conducted to explore the effects of years of education and illiterate rate on schizotypal personality traits.
Maps for three schizotypal personality clinical scales (dissociative, Dit; neurotic, Net and sensitive, Set) showed similar geographical trends. The highest T scores were distributed mainly in the eastern and northern counties of Sichuan, with scores decreasing successively from east to west, with the eastern counties generally showing higher scores. Correlation analysis showed that t-scores of Set were negatively correlated with years of education, whereas t-scores of Net were negatively correlated with illiteracy rate.
Schizotypal personality traits in male youth showed specific geographical trends in Sichuan province, providing some evidence that kriging based on GIS can be used to geographically localize genetic and environmental factors associated with schizotypal personality traits. This approach could be used to help allocate public health resources to specific areas and could also have personnel selection applications.
KeywordsSchizotypal personality Spatial distribution GIS Male youth
As an important endophenotype for schizophrenia, schizotypal personality is characterized by odd behavior and attenuated forms of the features seen in schizophrenia, albeit without manifestation of overt and sustained psychosis[1, 2]. Studies show that schizotypal personality has a relatively consistent dimensional structure in the general population, with the majority of evidence supporting three symptom clusters: Cognitive-Perceptual deficits (comprised of Ideas of Reference, Magical Thinking, Unusual Perceptual Experiences, and Paranoid Ideation), Interpersonal-Affective deficits (Social Anxiety, No Close Friends, Blunted Affect, Paranoid Ideation), and (3) Disorganized behavior (Odd Behavior, Odd speech)[3–7]. Xiao identified 140 highly specific behavioral traits that characterize schizotypal personality in Chinese samples, in a longitudinal study of young schizophrenics and schizotypal personality disordered patients. Factor analysis was used to reduce this set of behavioral traits to three broad dimensions (dissociative, Dit; Neurotic, Net; Sensitive, Set) comprised of eight specific factors (deviant, dissocial, apathy, anxiety, inferiority, stereotyped, suspicious and paranoid).
It is said that personality traits are often related to psychopathology. In the case of psychosis, there appears to be a relationship between schizotypal personality traits and schizophrenia spectrum disorders[10–12]. Susceptibility to schizophrenia occurs across a spectrum, with schizotypal personality disorder as the prototypical subsyndromal manifestation of more severe psychosis. Schizotypal personality disorder appears to share common genetic and biologic substrates with schizophrenia. The latent factors that emerge when schizotypal personality traits are examined resemble the classic positive, negative and disorganized symptom dimensions of schizophrenia. It also argued that schizotypal personality traits are qualitatively similar to the characteristic symptoms of schizophrenia, albeit quantitatively less severe. The expression of schizotypal personality traits ranges from relatively benign perceptual experiences associated with odd beliefs to severe symptoms associated with significant psychosocial impairment, or schizotypal personality disorder, which can be a premorbid condition that serves as a risk factor for the development of schizophrenia. Psychometrically measured schizotypy has been found to be elevated among schizophrenia patients and their relatives, and those with higher schizotypal scores are more likely to suffer from schizophrenia[19, 20]. Battaglia et al. and Siever et al. provide further evidence that people with higher levels of schizotypal personalities have a higher risk of developing schizophrenia as compared to those who do not. Indicators of cerebral dysfunction observed in schizophrenia spectrum disorders[11, 23], including cognitive impairment and sensory gating deficits[24, 25], are correlated with schizotypal traits in psychiatrically healthy individuals[26, 27], which further underscores the link between schizotypal traits and schizophrenia spectrum disorders[28–30].
Recruits for such as military, police, and civil servant with schizotypal personality disorder are of particular interest because the postpubertal period is a critical one for the development of a DSM axis I disorder, with this period being associated with neuromaturational processes that can trigger the expression of latent vulnerabilities[31, 32]. It is likely that some schizotypal adolescents will remain stable over time while another subgroup will develop schizophrenia. Genetic and environmental factors contribute to the stability of schizotypal traits in adolescence, with such studies using a measure designed to assess traits during this developmental period[33, 34]. In order to reduce the incidence of mental disorders amongst members of large personnel recruitment units such as the military and police, such agencies tend to screen out schizotypal individuals due to increased risk of developing schizophrenia. As such, it behooves researchers to understand the population distribution of such traits, including the specific spatial distributions of these traits across different regions. Such an understanding can be combined with psychological testing to help an organization such as the military to determine which regions are more likely to yield large numbers of appropriate recruits and to focus recruitment efforts on these regions accordingly.
The Psychological Selection Systems for Chinese Recruits (PSSCR) is a mental health screening system that includes a series of intelligence and personality tests used to examine the psychological suitability of potential new recruits or employees. The PSSCR is widely used when large numbers of young employees must be recruited, and thus has military, police, and civil service applications. The schizotypal personality portion of the PSSCR is a self-report questionnaire that together assesses three dimensions with eight factors, according to the Chinese cultural conceptualization of schizotypal traits described earlier. Self-report measures have been found to aid in the detection of schizotypal individuals in the adult population[14, 35]. The clinical schizotypal personality subtests included in the PSSCR provide a useful screen of both these personality traits and schizophrenia[36, 37] and has been used in this capacity since 2006.
In sum, schizotypal personality is an important risk factor for the development of schizophrenia that is currently a major public health focus. Clarifying the geographical distribution of schizotypal personality characteristics would potentially help to discriminate the spatial distribution of schizophrenia prone individuals in different districts, which (as described above) would be information of use for personal selection purposes. Such traits are also of interest to military recruiters who must select appropriate candidates. Consistent with this, the aim of the present study was to investigate the spatial distribution characteristics of schizotypal personality features in Sichuan male youth. Geographical information systems (or GIS) can provide methods that have the potential to facilitate the development of schizotypal personality indices at the local level in cities or regional areas[39–42], not only for research purposes but also for the evaluation of new draft and allocation policy initiatives intended to aid recruitment of mental health employees. This study first adopted broader uses of GIS methods, focusing particularly on exploring the spatial distribution of schizotypal personality scores across Sichuan province. Geographical information systems pertaining to schizotypal personality traits of Chinese male youth recruits were built using ArcGIS 8.3 software, with spatial distribution maps then being made using a spatial location interpolation technique.
The present study area was the main island of Sichuan province, which is located at north latitude 26°03′-34°19′and east longitude 97°21′-108°31′ in southwest China. The region has an area of 486,000 square kilometers and a population of around 80.41 million individuals. Fifty-five minority groups live within province, including significant numbers of Tibetans, Yi, Qiang and Naxi residing in the western portion and forming a traditional transition zone between Central and East Asian cultures. Sichuan was China's most populous province before Chongqing was carved out of it; it is currently the fourth most populous after Guangdong, Shandong, and Henan. Sichuan is a very important province for military recruitment given that China requires compulsory military service. Around 40,000 military personnel are recruited from Sichuan every year, and one soldier in ten hails from Sichuan province.
Data collection and management
PSSCR data collected in Sichuan in 2011 were analyzed. Data from all 67,558 male recruits screened for schizotypal personality traits in Sichuan were included. Recruit ages ranged from 18 to 25 years with mean of 22.18. The schizotypal personality measurement subscale of the PSSCR is a self-report scale comprised of 207 items. The measure includes three clinical subscales – dissociative (Dit), neurotic (Net), and sensitive (Set) – and three validity questionnaires – defensive (D), Deviant responding (DS), and truth-concealing (TC). T value for each scale can be used as predictors for schizotypal personality, and the higher the T scores of a clinical subscale, the more vulnerability to schizophrenia. This schizotypal personality test has been found to have good reliability and validity, such that schizotypal personality individuals had significantly higher scores on the clinical scales compared with those who do not have this vulnerability[8, 36, 37, 44]. Data accuracy was ensured by national and provincial quality control teams, which reported response rates and validity measures for all recruits.
Populations of each county in 2011 were derived from the Sichuan statistical yearbooks, which were compiled by the Sichuan Provincial Bureau of Statistics. Years of education and illiteracy rates was used to explore the spatial distribution of demographic data which were collected from annual statistical reports from each county. Illiteracy rate was defined as the proportion of illiterate people in the populations who can neither read nor write at a level above school age (12–15 years old). All three subscales scores of schizotypal personality, illiteracy rate, and years of education for each county were geo-coded and attached to the corresponding polygon on a digital map of Sichuan. Parameter estimates were then performed via spatial interpolation using the ordinary kriging method, which was a common method used to infer values of a variable of interest at an unobserved location. Demographic and psychological test data were then extracted using the spatial analyst model using ArcGIS 8.3 software, by overlapping the vector county map of Sichuan on the raster maps.
Geographical information system construction
The means of years of education and illiteracy rate, T-scores for the Dit, Set and Net schizotypy subscales were used to build geographical information systems for each subscale. Based on the electronic map of the county borderline of Sichuan (proportion of 1:1,000,000), Dit, Set, and Net attribute databases were constructed, and corresponding geographical information systems (GIS) for Dit, Set and Net were constructed using ArcGIS8.3 software.
ArcGIS 8.3 software was used to analyze geostatistics and draw schizotypal personality spatial distribution maps of each clinical scale via kriging interpolation. Spatial patterns for schizotypal personality features were determined using geostatistical analysis, according to the every GIS.
Semivariograms were developed to evaluate the degree of spatial continuity of schizotypal personality among data points and to establish a range of spatial dependence for Dit, Net, and Set separately by using a 125 km sampling interval. Information generated through variograms was used to calculate sample-weighted factors for spatial interpolation using a kriging procedure. Kriging is a linear interpolation procedure that provides a best linear unbiased estimation for quantities that vary in space. The exponential model, Gaussian model and Spherical model were used to fit the experimental semivariogram. The fitted model provides information about the spatial structure as well as the input parameters such as nugget, sill and range for kriging interpolation. By fitting the appropriate variogram model, the distance dependent coefficients can be estimated and graphically interpreted.
Cross-validation was used to evaluate if each map provides optimal unbiased predictions. The following four indices of prediction error were used to evaluate optimal unbiased prediction: (a) mean prediction error (MPE) that reflects estimation bias, with the closer to 0 the better, (b) root mean-square prediction error (RMS-PE) and (c) average standard error (ASE-PE), reflecting the consistency of observed data estimation, with all such values as small as possible and as close in value as possible, and (d) root mean-square standardized predicted error (RMSS-PE), reflecting variation in the degree of prediction error; values closer to 1 reflect smaller variation.
Spatial distribution of schizotypal personality features in Sichuan province
Spatial distribution of education levels in Sichuan province
Cross-validation of the distribution maps
Cross-validation indexes for schizotypal personality map
Years of Education
The relationship between schizotypal personality and education level
Correlations between schizotypal personality scores and demographic variables
Years of Education
The present study investigated the spatial distribution of schizotypal personality traits in Chinese male youth recruits in Sichaun province. Demographic variables including years of education and illiteracy rates were also spatially mapped and effects of these variables on schizotypal personality scores were examined. High schizotypal personality scores did tend to cluster in certain regions of the province, suggesting that the incidence of these traits does vary as a function of region. This finding is consistent with previous studies that investigated genetic and environmental influences on the symptom dimensions of schizotypal personality[14, 35, 47], although relatively few such studies have been conducted. One adult twin study suggested a latent common schizotypy factor in both males and females. Behavioral genetic studies have demonstrated that heritable factors are important in the development of schizotypal personality in adults. Lin et al. investigated the genetic and environmental etiology of schizotypal traits during adolescence. Marissa Ericson confirmed that genetic and non-shared environmental factors play an important role in the development of schizotypal traits in adolescents through a longitudinal study. So far as the present authors know, the present study was the first to examine the spatial distribution of schizotypal personality traits using the kriging method based on GIS, and the first to suggest that such traits are differentially distributed across different regions. Genetic and environmental effects likely play a role in such regional differences, meaning that these developmental factors likely show regional distribution differences as well.
Another interesting finding of the present study was that certain dimensions of schizotypal personality are significantly correlated with demographic variable such as years of education and illiteracy rate. Although no causal relationship can be inferred from the present data, schizotypal personality features do seem to be associated with regional demographic differences. The relationship between years of education and Set scores is consistent with findings from previous studies. Miettunen et al. observed that higher education is associated with reduced negative schizotypy on the Social and Physical Anhedonia scales, with less educated participants scoring higher on both scales. Ma et al. found an inverse relationship between years of education and scores on the No Close Friends subscale in Chinese participants. However, the negative correlation between illiteracy rate and Net scores that we observed is inconsistent with past results. Studies conducted by Guo et al. and Crow et al. provide positive evidence of educational problems long before illness onset. It has been suggested that low educational attainment is associated with the same deficits that drive poor social functioning in these personalities. Schizotypy appears to be more common in eastern areas that are more prosperous and that have higher educational attainment. It seems erroneous to argue that low education is a protective factor based on earlier work and logic, so it would appear that schizotypy rates are lower in these western areas, which also happen to be less well educated, with no meaningful relationship between schizotypy and illiteracy at all (i.e., the negative correlation does not reflect a true causal link between these variables but is instead a by-product of the relationship between schizotypy and geography). Confusingly though, the negative correlation between these traits and years of education is consistent with earlier work and makes logical sense.
Given that schizotypal personality tends to be stable over time, with a proportion of schizotypal adolescents developing schizophrenia under certain genetic and environmental conditions[20, 23, 30, 53, 54], it could be concluded that areas with a higher incidence of schizotypal personalities should also show higher rates of schizophrenia[33, 39, 41, 55]. These findings suggest that public health resources, particularly those concerning mental health, might be most beneficially focused on areas where incidence of schizotypal traits is greater, such that the incidence of schizophrenia might be decreased if individuals do not progress to the more severe condition.
According to the Chinese military epidemiological investigation of mental disease conducted in 1994, there are more than 10,000 new recruits with various mental disorders every year, with around 162 individuals with schizophrenia for every 100,000 new recruits. Xiao et al. found that schizophrenia accounted for 73% of severe mental illnesses diagnosed in a sample of 13,000 military inpatients. Such studies suggest that schizophrenia is an important health concern in the military, worthy of resources devoted to treatment and prevention. Screening out individuals with schizotypal personality disorder may constitute one approach to reduce rates of schizophrenia in the military, which should lead to improvements in overall rates of mental illness in the military. China practices compulsory military service and different counties have different recruit quotas. Such regions are subject to more rigorous screening procedures such that appropriate recruits would not be missed according to spatial distribution maps of schizotypal personality prevalence combined with further indices of education level, so as to recruit fewer youth who are at high risk of developing schizophrenia, with fewer recruits being obtained from high risk areas. Other government bodies such as the police and civil service could adopt a similar approach.
The present study does have some limitations. This study provided a useful demonstration of how to assess geographical prevalence of a mental health variable such that regions can be compared, and had potential personnel screening applications. However, one can conclude little or nothing about the potential causal relationships between schizotypal personality and geographical location/demographic variables. It would seem likely that geographical location is a proxy variable for the genuine causal factors at play or a correlate of these variables that itself lacks explanatory power. Another limitation concerns the specialized nature of the sample, which consisted of young male military recruits. Although the present maps may be useful for other applications where only male personnel are being selected, most fields would require applicants of both genders, making the present results less generalizable and decreasing the external validity of the present study.
Despite some limitations, this study extends our insight into the genetic and environmental mechanisms underlying schizotypal personality, perhaps, although such mechanisms are not directly identified here. The finding that schizotypal personality cases tend to cluster in certain geographic regions could inform allocation of public health resources as well as personnel selection procedures intended to decrease mental illness rates in organizations such as the military
- Organization WH: The ICD-10 classification of mental and behavioural disorders: diagnostic criteria for research. 1993, Geneva, Switzerland: World Health OrganizationGoogle Scholar
- Association AP: Diagnostic and statistical manual of mental disorders. 1994, Washington, DC: American Psychiatric Association, 4Google Scholar
- Raine A, Reynolds C, Lencz T, Scerbo A, Triphon N, Kim D: Cognitive-perceptual, interpersonal, and disorganized features of schizotypal personality. Schizophr Bull. 1994, 20: 191-201. 10.1093/schbul/20.1.191.View ArticlePubMedGoogle Scholar
- Raine A: The SPQ: a scale for the assessment of schizotypal personality based on DSM-III-R criteria. Schizophr Bull. 1991, 17: 555-564. 10.1093/schbul/17.4.555.View ArticlePubMedGoogle Scholar
- Vollema MG, van den Bosch RJ: The multidimensionality of schizotypy. Schizophr Bull. 1995, 21: 19-31. 10.1093/schbul/21.1.19.View ArticlePubMedGoogle Scholar
- Claridge G, McCreery C, Mason O, Bentall R, Boyle G, Slade P, Popplewell D: The factor structure of ‘schizotypal ‘traits: a large replication study. Br J Clin Psychol. 1996, 35: 103-115. 10.1111/j.2044-8260.1996.tb01166.x.View ArticlePubMedGoogle Scholar
- Mason O, Linney Y, Claridge G: Short scales for measuring schizotypy. Schizophr Res. 2005, 78: 293-296. 10.1016/j.schres.2005.06.020.View ArticlePubMedGoogle Scholar
- Lijun X, Danming M, Wei X, Shengjun W, Hongzheng L: Personality measurement for recruit selection. Acta Psychologica Sinica. 2007, 39: 362-370.Google Scholar
- Woodward ND, Cowan RL, Park S, Ansari MS, Baldwin RM, Li R, Doop M, Kessler RM, Zald DH: Correlation of individual differences in schizotypal personality traits with amphetamine-induced dopamine release in striatal and extrastriatal brain regions. Am J Psychiatry. 2011, 168: 418-426. 10.1176/appi.ajp.2010.10020165.PubMed CentralView ArticlePubMedGoogle Scholar
- Fervaha G, Remington G: Neuroimaging findings in schizotypal personality disorder: a systematic review. Prog Neuropsychopharmacol Biol Psychiatry. 2013, 43: 96-107.View ArticlePubMedGoogle Scholar
- Fogelson DL, Nuechterlein KH, Asarnow RA, Payne DL, Subotnik KL, Jacobson KC, Neale MC, Kendler KS: Avoidant personality disorder is a separable schizophrenia-spectrum personality disorder even when controlling for the presence of paranoid and schizotypal personality disorders The UCLA family study. Schizophr Res. 2007, 91: 192-199. 10.1016/j.schres.2006.12.023.PubMed CentralView ArticlePubMedGoogle Scholar
- Takahashi T, Zhou SY, Nakamura K, Tanino R, Furuichi A, Kido M, Kawasaki Y, Noguchi K, Seto H, Kurachi M, Suzuki M: Longitudinal volume changes of the pituitary gland in patients with schizotypal disorder and first-episode schizophrenia. Prog Neuropsychopharmacol Biol Psychiatry. 2011, 35: 177-183. 10.1016/j.pnpbp.2010.10.023.View ArticlePubMedGoogle Scholar
- Siever LJ, Koenigsberg HW, Harvey P, Mitropoulou V, Laruelle M, Abi-Dargham A, Goodman M, Buchsbaum M: Cognitive and brain function in schizotypal personality disorder. Schizophr Res. 2002, 54: 157-167. 10.1016/S0920-9964(01)00363-2.View ArticlePubMedGoogle Scholar
- Ericson M, Tuvblad C, Raine A, Young-Wolff K, Baker LA: Heritability and longitudinal stability of schizotypal traits during adolescence. Behav Genet. 2011, 41: 499-511. 10.1007/s10519-010-9401-x.PubMed CentralView ArticlePubMedGoogle Scholar
- Compton MT, Goulding SM, Bakeman R, McClure-Tone EB: An examination of the factorial structure of the Schizotypal Personality Questionnaire-Brief (SPQ-B) among undergraduate students. Schizophr Res. 2009, 115: 286-289. 10.1016/j.schres.2009.04.012.View ArticlePubMedGoogle Scholar
- Gruzelier JH: The factorial structure of schizotypy: Part I. Affinities with syndromes of schizophrenia. Schizophr Bull. 1996, 22: 611-620. 10.1093/schbul/22.4.611.View ArticlePubMedGoogle Scholar
- Chapman LJ, Chapman JP: The measurement of differential deficit. J Psychiatr Res. 1978, 14: 303-311.View ArticlePubMedGoogle Scholar
- Chen WJ, Liu SK, Chang CJ, Lien YJ, Chang YH, Hwu HG: Sustained attention deficit and schizotypal personality features in nonpsychotic relatives of schizophrenic patients. Am J Psychiatry. 1998, 155: 1214-1220.View ArticlePubMedGoogle Scholar
- Chapman LJ, Chapman JP, Kwapil TR, Eckblad M, Zinser MC: Putatively psychosis-prone subjects 10 years later. J Abnorm Psychol. 1994, 103: 171-183.View ArticlePubMedGoogle Scholar
- Rass O, Forsyth JK, Krishnan GP, Hetrick WP, Klaunig MJ, Breier A, O'Donnell BF, Brenner CA: Auditory steady state response in the schizophrenia, first-degree relatives, and schizotypal personality disorder. Schizophr Res. 2012, 136: 143-149. 10.1016/j.schres.2012.01.003.PubMed CentralView ArticlePubMedGoogle Scholar
- Battaglia M, Fossati A, Torgersen S, Bertella S, Bajo S, Maffei C, Bellodi L, Smeraldi E: A psychometric-genetic study of schizotypal disorder. Schizophr Res. 1999, 37: 53-64. 10.1016/S0920-9964(98)00131-5.View ArticlePubMedGoogle Scholar
- Siever LJ, Davis KL: The pathophysiology of schizophrenia disorders: perspectives from the spectrum. Am J Psychiatry. 2004, 161: 398-413. 10.1176/appi.ajp.161.3.398.View ArticlePubMedGoogle Scholar
- Harvey PD, Keefe RSE, Mitroupolou V, DuPre R, Roitman SL, Mohs RC, Siever LJ: Information-processing markers of vulnerability to schizophrenia: performance of patients with schizotypal and nonschizotypal personality disorders. Psychiatry Res. 1996, 60: 49-56. 10.1016/0165-1781(95)02764-5.View ArticleGoogle Scholar
- Kent BW, Weinstein ZA, Passarelli V, Chen Y, Siever LJ: Deficient visual sensitivity in schizotypal personality disorder. Schizophr Res. 2011, 127: 144-150. 10.1016/j.schres.2010.05.013.PubMed CentralView ArticlePubMedGoogle Scholar
- Liu Y, Shen X, Zhu Y, Xu Y, Cai W, Shen M, Yu R, Wang W: Mismatch negativity in paranoid, schizotypal, and antisocial personality disorders. Neurophysiol Clin. 2007, 37: 89-96. 10.1016/j.neucli.2007.03.001.View ArticlePubMedGoogle Scholar
- Woods SW, Addington J, Cadenhead KS, Cannon TD, Cornblatt BA, Heinssen R, Perkins DO, Seidman LJ, Tsuang MT, Walker EF, McGlashan TH: Validity of the prodromal risk syndrome for first psychosis: findings from the North American prodrome longitudinal study. Schizophr Bull. 2009, 35: 894-908. 10.1093/schbul/sbp027.PubMed CentralView ArticlePubMedGoogle Scholar
- Ott S, Roberts S, Rock D, Allen J, Erlenmeyer-Kimling L: Positive and negative thought disorder and psychopathology in childhood among subjects with adulthood schizophrenia. Schizophr Bull. 2002, 58: 231-239.View ArticleGoogle Scholar
- Fossati A, Citterio A, Grazioli F, Borroni S, Carretta I, Maffei C, Battaglia M: Taxonic structure of schizotypal personality disorder: a multiple-instrument, multi-sample study based on mixture models. Psychiatry Res. 2005, 137: 71-85. 10.1016/j.psychres.2005.02.008.View ArticlePubMedGoogle Scholar
- Voglmaier MM, Seidman LJ, Salisbury D, McCarley RW: Neuropsychological dysfunction in schizotypal personality disorder: a profile analysis. Biol Psychiatry. 1997, 41: 530-540. 10.1016/S0006-3223(96)00056-X.View ArticlePubMedGoogle Scholar
- Bedwell JS, Kamath V, Compton MT: The relationship between interview-based schizotypal personality dimension scores and the continuous performance test. Schizophr Bull. 2009, 108: 158-162.View ArticleGoogle Scholar
- Walker E, Bollini AM: Pubertal neurodevelopment and the emergence of psychotic symptoms. Schizophr Res. 2002, 54: 17-23. 10.1016/S0920-9964(01)00347-4.View ArticlePubMedGoogle Scholar
- Weinstein DD, Diforio D, Schiffman J, Walker E, Bonsall R: Minor physical anomalies, dermatoglyphic asymmetries, and cortisol levels in adolescents with schizotypal personality disorder. Am J Psychiatry. 1999, 156: 617-623.PubMedGoogle Scholar
- Brown AS: The environment and susceptibility to schizophrenia. Prog Neurobiol. 2011, 93: 23-58. 10.1016/j.pneurobio.2010.09.003.PubMed CentralView ArticlePubMedGoogle Scholar
- Protopopescu X, Gerber AJ: Bridging the gap between neuroscientific and psychodynamic models in child and adolescent psychiatry. Child Adolesc Psychiatr Clin N Am. 2013, 22: 1-31. 10.1016/j.chc.2012.08.008.View ArticlePubMedGoogle Scholar
- Lin CCH, Su CH, Kuo PH, Hsiao CK, Soong WT, Chen WJ: Genetic and environmental influences on schizotypy among adolescents in Taiwan: a multivariate twin/sibling analysis. Behav Gen. 2007, 37: 334-344. 10.1007/s10519-006-9104-5.View ArticleGoogle Scholar
- Liu L, Zhang Y, Wu SJ, Yang YB, Zhu X, Miao DM: Analyzing characteristics of schizotypal personality proneness using the Chinese soldier personality questionnaire. Soc Behav Personal. 2011, 39: 1291-1296. 10.2224/sbp.2011.39.9.1291.View ArticleGoogle Scholar
- Wang XG, Zhang Y, Liu XF, Zhu X, Wu SJ, Miao DM: Evaluating the Chinese soldier personality questionnaire in terms of assessing schizotypal personality proneness. Soc Behav Personal. 2012, 40: 509-516. 10.2224/sbp.2012.40.3.509.View ArticleGoogle Scholar
- Cowan DN, Weber NS, Fisher JA, Bedno SA, Niebuhr DW: Incidence of adult onset schizophrenic disorders in the US military: patterns by sex, race and age. Schizophr Res. 2011, 127: 235-240. 10.1016/j.schres.2010.12.005.View ArticlePubMedGoogle Scholar
- Antunes P, Santos R, Jordão LS: The application of Geographical Information Systems to determine environmental impact significance. Environ Impact Assess Rev. 2001, 21: 511-535. 10.1016/S0195-9255(01)00090-7.View ArticleGoogle Scholar
- Church RL: Geographical information systems and location science. Comput Oper Res. 2002, 29: 541-562. 10.1016/S0305-0548(99)00104-5.View ArticleGoogle Scholar
- Tur JMM, Zinggerling C, Murtra AC: Geographical information systems for map based navigation in urban environments. Robot Autonomous Syst. 2009, 57: 922-930. 10.1016/j.robot.2009.06.003.View ArticleGoogle Scholar
- Twigg L: Health based geographical information systems: their potential examined in the light of existing data sources. Soc Sci Med. 1990, 30: 143-155. 10.1016/0277-9536(90)90337-R.View ArticlePubMedGoogle Scholar
- Riolo F: A geographic information system for fisheries management in American Samoa. Environ Model Softw. 2006, 21: 1025-1041. 10.1016/j.envsoft.2005.05.005.View ArticleGoogle Scholar
- Y-B YANG, D-M MIAO, J-Q TIAN, L-J XIAO, Sun H, Hong X: Item analysis of the Chinese soldier personality questionnaire using item response theory [J]. Acta Psychologica Sinica. 2008, 5: 014-28.Google Scholar
- Bilonick RA: An introduction to applied geostatistics. Technometrics. 1991, 33: 483-485. 10.1080/00401706.1991.10484886.View ArticleGoogle Scholar
- Cressie N: The origins of kriging. Math Geol. 1990, 22: 239-252. 10.1007/BF00889887.View ArticleGoogle Scholar
- Linney YM, Murray RM, Peters ER, MacDonald AM, Rijsdijk F, Sham PC: A quantitative genetic analysis of schizotypal personality traits. Psychol Med. 2003, 33: 803-816. 10.1017/S0033291703007906.View ArticlePubMedGoogle Scholar
- MacDonald AW, Pogue-Geile MF, Debski TT, Manuck S: Genetic and environmental influences on schizotypy: a community-based twin study. Schizophr Bull. 2001, 27: 47-58. 10.1093/oxfordjournals.schbul.a006859.View ArticlePubMedGoogle Scholar
- Miettunen J, Jaaskelainen E: Sex differences in Wisconsin schizotypy scales–a meta-analysis. Schizophr Bull. 2010, 36: 347-358. 10.1093/schbul/sbn075.PubMed CentralView ArticlePubMedGoogle Scholar
- Ma XH, Sun JH, Yao J, Wang Q, Hu X, Deng W, Sun XL, Liu XH, Murray RM, Collier DA, Li T: A quantitative association study between schizotypal traits and COMT, PRODH and BDNF genes in a healthy Chinese population. Psychiatry Res. 2007, 153: 7-15. 10.1016/j.psychres.2007.02.003.View ArticlePubMedGoogle Scholar
- Guo ME, Collinson SL, Subramaniam M, Chong SA: Gender differences in schizotypal personality in a Chinese population. Pers Individ Differ. 2011, 50: 404-408. 10.1016/j.paid.2010.11.005.View ArticleGoogle Scholar
- Crow TJ, Done DJ, Sacker A: Childhood precursors of psychosis as clues to its evolutionary origins. Eur Arch Psychiatry Clin Neurosci. 1995, 245: 61-69. 10.1007/BF02190732.View ArticlePubMedGoogle Scholar
- Nelson M, Seal M, Pantelis C, Phillips L: Evidence of a dimensional relationship between schizotypy and schizophrenia: A systematic review. Neurosci Biobehav Rev. 2013, 37: 317-327. 10.1016/j.neubiorev.2013.01.004.View ArticlePubMedGoogle Scholar
- Torti MC, Buzzanca A, Squarcione C, Salerno C, Mirigliani A, Di Fabio F, Biondi M: Schizotypy and personality profiles of cluster A in a group of schizophrenic patients and their siblings. BMC Psychiatry. 2013, 13: 1-9. 10.1186/1471-244X-13-1.View ArticleGoogle Scholar
- Loye C, Beaucousin V, Bohec AL, Blanchet A, Kostova M: An event‒related potential study of predictive and integrative semantic context processing in subjects with schizotypal traits. Psychophysiology. 2013, 50: 1109-1119. 10.1111/psyp.12124.View ArticlePubMedGoogle Scholar
- Zhang ZJ, Tan QR, Tong Y, Wang XY, Wang HH, Ho LM, Wong HK, Feng YB, Wang D, Ng R: An epidemiological study of concomitant use of Chinese medicine and antipsychotics in schizophrenic patients: implication for herb-drug interaction. PLoS ONE. 2011, 6: e17239-10.1371/journal.pone.0017239.PubMed CentralView ArticlePubMedGoogle Scholar
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