Evidence that three dimensions of psychosis have a distribution in the general population

2002 ◽  
Vol 32 (2) ◽  
pp. 347-358 ◽  
Author(s):  
N. C. STEFANIS ◽  
M. HANSSEN ◽  
N. K. SMIRNIS ◽  
D. A. AVRAMOPOULOS ◽  
I. K. EVDOKIMIDIS ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
General Population ◽  
Discriminant Validity ◽  
Clinical Symptoms ◽  
Factor Model ◽  
Population Sample ◽  
Population Variation ◽  
Self Report ◽  
Three Dimensions ◽  
Three Factor

Background. The aims of the study were: first to examine, using clinical symptoms of patients as a template, whether the correlated but independent dimensions of positive, negative and depressive symptoms that have been identified in clinical psychosis, also have a distribution as non-clinical experiences in the general population; and second, to establish to what degree population variation in experience of positive and negative features of psychosis is actually independent of experience of depression.Method. In a representative population sample of 932 young men, we measured experiences of positive, negative and depressive features of psychosis, using a 40-item self-report instrument. Confirmatory factor analysis was used to compare the fit of hypothesized one-, two- and three-factor solutions.Results. A three-factor model of separate depressive, positive and negative dimensions provided a better fit to the data than either a two-factor or unidimensional model. All three dimensions were correlated with each other, but also showed good discriminant validity in relation to established scales, confirming their relative independence.Conclusion. The data suggest that the correlated dimensions of clinical psychosis also have a distribution in the general population, and that depressive symptoms may form an integral part of psychosis-like experiences in the general population.

Emotional Intelligence in Women Caregivers with Depressive Symptoms

2011 ◽  
Vol 108 (2) ◽  
pp. 369-374 ◽  
Author(s):  
Fernando L. Vázquez ◽  
Patricia Otero ◽  
Olga Díaz ◽  
Teresa Sánchez ◽  
Carmen Pomar
Keyword(s):  
Emotional Intelligence ◽  
Depressive Symptoms ◽  
General Population ◽  
Population Sample ◽  
Three Dimensions ◽  
Group Differences ◽  
Women Caregivers ◽  
Adult Women ◽  
Or Education ◽  
Mood Repair

The emotional intelligence of a sample of 59 women caregivers ( M age = 51.1 yr.) with depressive symptoms was compared with that of a sample of adult women from the general population ( M age = 50.7 yr.). No group differences were observed on the Trait Meta-Mood Scale's three dimensions of emotional intelligence across age, socioeconomic status, or education level. Compared with the general population sample, the caregivers group scored significantly lower on Attention to Feelings and Mood Repair.

Construct Validity of the E-LSRP in a Correctional Sample

Assessment ◽  
2021 ◽  
pp. 107319112110386
Author(s):  
Martin Sellbom ◽  
Jaiden S. Butler ◽  
Tayla T. C. Lee ◽  
Andrea M. Loucaides ◽  
Tracy L. Masterson ◽  
...  
Keyword(s):  
Construct Validity ◽  
Discriminant Validity ◽  
Factor Model ◽  
Self Report ◽  
Convergent And Discriminant Validity ◽  
Confirmatory Factor ◽  
Correctional Settings ◽  
Male Inmates ◽  
Three Factor ◽  
Related Personality

The Expanded–Levenson Self-Report Psychopathy Scale (E-LSRP) was developed by Christian and Sellbom to improve on the psychometric properties of scores on the Levenson Self-Report Psychopathy Scale. The current study investigated the construct validity of scores on the E-LSRP in 393 male inmates. Results provided support for the reliability and construct validity of E-LSRP scores. Specifically, confirmatory factor analysis results demonstrated support for a three-factor model. Additionally, correlation and multiple regression results provided evidence supporting the convergent and discriminant validity of E-LSRP scores against scores on measures assessing psychopathy-related personality traits (e.g., antagonism, disinhibition) and symptoms of internalizing disorders, respectively. Overall, these findings extend those of previous research by establishing that E-LSRP scores demonstrate validity in assessing psychopathy in correctional settings and thus, may be a useful tool for the assessment of psychopathy in these settings.

scholarly journals The Impact of Individual Differences on Investigative Interviewing Performance

2019 ◽  
Author(s):  
Davut Akca ◽  
Joseph Eastwood
Keyword(s):  
Individual Differences ◽  
General Population ◽  
Factor Model ◽  
Five Factor Model ◽  
Population Sample ◽  
Three Dimensions ◽  
General Population Sample ◽  
Investigative Interviewing ◽  
Police Departments ◽  
The Impact

We examined whether and how individual differences impact investigative interviewing performance by using the Police Interviewing Competencies Inventory (PICI) and the Five Factor Model (FFM) in a two-step research design. In Study 1, the structure of a modified version of the PICI was assessed using a general population sample (N = 300) and a four-dimensional aptitudes scale was created. In Study 2, student participants (N =154) completed the aptitudes and the FFM scales, and then interviewed witnesses who watched a mock robbery crime video. Interviewer performance was assessed based on the amount of details they could elicit, the perception of the witness, and researcher ratings of behaviours and question usage. Three dimensions of the FFM were correlated with the success measures: Agreeableness with witness perception and appropriate questioning, Extraversion with researcher ratings and inappropriate questioning, and Openness with researcher ratings. Only the Communicative-Insisting dimension of the aptitudes scale predicted high researcher ratings. Findings might help police departments to identify potential successful interviewers.

An evaluation of DSM-5 Section III Personality Disorder Criterion A (Impairment) in accounting for psychopathology

2018 ◽  
Author(s):  
Chelsea Sleep ◽  
Donald Lynam ◽  
Thomas A. Widiger ◽  
Michael L Crowe ◽  
Josh Miller
Keyword(s):  
Personality Disorders ◽  
Discriminant Validity ◽  
Factor Model ◽  
Incremental Validity ◽  
Self Report ◽  
Statistical Prediction ◽  
Dsm 5 ◽  
Criterion A ◽  
Personality Dysfunction ◽  
Axis I

An alternative diagnostic model of personality disorders (AMPD) was introduced in DSM-5 that diagnoses PDs based on the presence of personality impairment (Criterion A) and pathological personality traits (Criterion B). Research examining Criterion A has been limited to date, due to the lack of a specific measure to assess it; this changed, however, with the recent publication of a self-report assessment of personality dysfunction as defined by Criterion A (Levels of Personality Functioning Scale – Self-report; LPFS-SR; Morey, 2017). The aim of the current study was to test several key propositions regarding the role of Criterion A in the AMPD including the underlying factor structure of the LPFS-SR, the discriminant validity of the hypothesized factors, whether Criterion A distinguishes personality psychopathology from Axis I symptoms, the overlap between Criterion A and B, and the incremental predictive utility of Criterion A and B in the statistical prediction of traditional PD symptom counts. Neither a single factor model nor an a priori four-factor model of dysfunction fit the data well. The LPFS-SR dimensions were highly interrelated and manifested little evidence of discriminant validity. In addition, the impairment dimensions manifested robust correlations with measures of both Axis I and II constructs, challenging the notion that personality dysfunction is unique to PDs. Finally, multivariate regression analyses suggested that the traits account for substantially more unique variance in DSM-5 Section II PDs than does personality impairment. These results provide important information as to the functioning of the two main components of the DSM-5 AMPD and raise questions about whether the model may need revision moving forward.Keywords: dysfunction, impairment, personality disorders, Section III, incremental validity Public Significance: The alternative model of personality disorders included in Section III of the 5th addition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) includes two primary components: personality dysfunction and maladaptive traits. The current results raise questions about how a new, DSM-5 aligned measure of personality dysfunction operates with regard its factor structure, discriminant validity, ability to differentiate between personality and non-personality based forms of psychopathology, and incremental validity in the statistical prediction of traditional DSM personality disorders.

scholarly journals Exploring negative affect dynamics in high resolution: within-person relationship of inertia and instability with depression is mediated by affect intensity

2021 ◽  
Author(s):  
Levente Rónai ◽  
Bertalan Polner
Keyword(s):  
Depressive Symptoms ◽  
Multilevel Models ◽  
Negative Mood ◽  
Population Sample ◽  
Self Report ◽  
Affective States ◽  
Affect Intensity ◽  
Individual Level ◽  
Affective Functioning ◽  
Affect Dynamics

Background: Temporal patterns of affective functioning such as emotional inertia and instability may indicate changes in emotion regulation that predict depression. However, affect dynamics’ incremental validity over affect intensity and exposure to stressors in predicting depression has been questioned.Methods: We collected longitudinal data regarding momentary affective states (measured multiple times a day), perceived stressors and depressive symptoms (measured every three days) from a general population sample during the COVID-19 pandemic’s first wave in Hungary. The final dataset included 7165 affective states surveys from 125 participants, which were aggregated in 464 three-day measurement windows. Using multilevel models, we explored the unique effects of within-person changes in mean level, inertia, and instability of negative affective states (NA), and stressor-exposure on two domains of depression (anhedonia and negative mood and thoughts) within the three-day windows.Results: Within-person increases in NA inertia and NA instability showed significant positive associations with negative mood and thoughts. These effects did not remain significant after adjusting for mean levels of NA. Multilevel mediation analysis revealed that within individuals, NA inertia and instability indirectly predicted negative mood and thoughts through elevated NA mean.Limitations: The application of self-report questionnaires might bias the results, and the overrepresentation of female participants could limit the generalizability of the findings.Conclusions: Specific patterns of temporal affective functioning are indirect predictors of depressive symptoms at the within-individual level. Our findings may facilitate automated depression risk assessment on the basis of simple affective time series.

scholarly journals Assessing Orthorexia Nervosa: Validation of the Polish Version of the Eating Habits Questionnaire in a General Population Sample

Nutrients ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3820 ◽  
Author(s):  
Anna Brytek-Matera ◽  
Natalija Plasonja ◽  
Greg Décamps
Keyword(s):  
Factor Analysis ◽  
General Population ◽  
Internal Consistency ◽  
Eating Habits ◽  
Population Sample ◽  
Orthorexia Nervosa ◽  
General Population Sample ◽  
Polish Version ◽  
Split Sample ◽  
Three Factor

Extreme focus on healthy eating, called orthorexia nervosa (ON), was assessed using a 21-item Eating Habits Questionnaire (EHQ). The present study aimed to validate the Polish version of the EHQ in a general population sample. Nine hundred sixty-seven women (59%) and men participated in the present study. Data was obtained from an internet-administered survey. Exploratory factor analysis with the first split sample (n = 502) produced a three-factor solution accounting for 47% of the variance. In confirmatory factor analysis with the second split sample (n = 465), the three-factor structure showed satisfactory goodness-of-fit (comparative fit index (CFI) = 0.99, root mean square error of approximation (RMSEA) = 0.008). Reliability analysis for the Polish version of the EHQ across the whole questionnaire showed strong internal consistency (α = 0.88, intraclass correlation coefficient (ICC) = 0.86). The internal consistency, measured by Cronbach’s alpha coefficients, for the EHQ subscales were 0.85 (knowledge), 0.81 (problems), and 0.81 (feelings and behaviors). Total EHQ score was positively correlated with its three subscales, cognitive restraint, uncontrolled eating, and emotional eating, and was negatively correlated with body mass index (BMI). The Polish version of the EHQ is a reliable questionnaire that can be used with confidence to better assess ON in a general population sample.

scholarly journals Longitudinal Validation of the Levenson Self-Report Psychopathy (LSRP) Scale in a High-Risk Dutch Community Sample

Assessment ◽  
2020 ◽  
pp. 107319112097513
Author(s):  
Sophie A. Wissenburg ◽  
Carlo Garofalo ◽  
Arjan A. J. Blokland ◽  
H. Palmen ◽  
Martin Sellbom
Keyword(s):  
Construct Validity ◽  
Factor Structure ◽  
Factor Model ◽  
Psychopathic Traits ◽  
Self Report ◽  
Longitudinal Measurement Invariance ◽  
Time Points ◽  
Longitudinal Measurement ◽  
Three Factor ◽  
Over Time

The Levenson Self-Report Psychopathy (LSRP) scale is a self-report measure that can be used to assess psychopathic traits in community samples, and recent research suggested that its three-factor model (Egocentricity, Callousness, and Antisocial) has promising psychometric properties. However, no study to date has validated the LSRP in a longitudinal framework. The present study sought to validate the LSRP scale in a longitudinal design using a sample of Dutch emerging adults ( ns = 970 and 693 at time points 1 and 2, respectively). We assessed longitudinal measurement invariance and the stability of psychopathic traits over an 18-month time period, from age 20 to age 21.6. Furthermore, we replicated and extended findings on the factor structure, reliability, and construct validity of the Dutch LSRP scale. Confirmatory factor analysis revealed that the three-factor model fit the data well. Evidence of partial longitudinal measurement invariance was observed, which means that the Dutch translation of the LSRP scale is measuring an equivalent construct (and overall latent factor structure) over time. Psychopathic traits were relatively stable over time. The three LSRP subscales showed largely acceptable levels of internal consistency at both time points and showed conceptually expected patterns of construct validity and predictive validity, with a few notable exceptions.

scholarly journals Genetic heterogeneity in self-reported depressive symptoms identified through genetic analyses of the PHQ-9

2019 ◽  
Vol 50 (14) ◽  
pp. 2385-2396 ◽  
Author(s):  
Jackson G. Thorp ◽  
Andries T. Marees ◽  
Jue-Sheng Ong ◽  
Jiyuan An ◽  
Stuart MacGregor ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Genetic Heterogeneity ◽  
Structural Equation ◽  
Large Scale ◽  
Clinical Symptoms ◽  
Factor Model ◽  
Genetic Correlations ◽  
Genetic Covariance ◽  
Association Analyses ◽  
Genome Wide

AbstractBackgroundDepression is a clinically heterogeneous disorder. Previous large-scale genetic studies of depression have explored genetic risk factors of depression case–control status or aggregated sums of depressive symptoms, ignoring possible clinical or genetic heterogeneity.MethodsWe analyse data from 148 752 subjects of white British ancestry in the UK Biobank who completed nine items of a self-rated measure of current depressive symptoms: the Patient Health Questionnaire (PHQ-9). Genome-Wide Association analyses were conducted for nine symptoms and two composite measures. LD Score Regression was used to calculate SNP-based heritability (h2SNP) and genetic correlations (rg) across symptoms and to investigate genetic correlations with 25 external phenotypes. Genomic structural equation modelling was used to test the genetic factor structure across the nine symptoms.ResultsWe identified nine genome-wide significant genomic loci (8 novel), with no overlap in loci across symptoms. h2SNP ranged from 6% (concentration problems) to 9% (appetite changes). Genetic correlations ranged from 0.54 to 0.96 (all p < 1.39 × 10−3) with 30 of 36 correlations being significantly smaller than one. A two-factor model provided the best fit to the genetic covariance matrix, with factors representing ‘psychological’ and ‘somatic’ symptoms. The genetic correlations with external phenotypes showed large variation across the nine symptoms.ConclusionsPatterns of SNP associations and genetic correlations differ across the nine symptoms, suggesting that current depressive symptoms are genetically heterogeneous. Our study highlights the value of symptom-level analyses in understanding the genetic architecture of a psychiatric trait. Future studies should investigate whether genetic heterogeneity is recapitulated in clinical symptoms of major depression.

scholarly journals Genetic and Environmental Covariation Between Autistic Traits and Behavioral Problems

2007 ◽  
Vol 10 (6) ◽  
pp. 853-860 ◽  
Author(s):  
Rosa A. Hoekstra ◽  
Meike Bartels ◽  
James J. Hudziak ◽  
Toos C. E. M. Van Beijsterveldt ◽  
Dorret I. Boomsma
Keyword(s):  
General Population ◽  
Behavioral Problems ◽  
Social Problems ◽  
Genetic Variance ◽  
Population Sample ◽  
Autistic Traits ◽  
Self Report ◽  
Equation Modeling ◽  
General Population Sample ◽  
Withdrawn Behavior

AbstractOur objective was to examine the overlap between autistic traits and other behavioral problems in a general population sample, and explore the extent to which this overlap is due to genetic or environmental factors. Youth Self Report (YSR) data were collected in a general population sample of 424 twin pairs at 18 years of age, and their nontwin siblings. In 197 of these twin families, self-report ratings on the Autism-spectrum Quotient (AQ) were collected. Stepwise backward regression analyses revealed that of all 8 YSR syndrome scales, the Withdrawn Behavior (WB) and Social Problems (SOC) scale were the most important predictors of AQ scores, and together with sex, explained 23% of the variance in AQ scores. Genetic structural equation modeling showed that the overlap between AQ and WB and SOC was mainly due to genetic effects. About half of the genetic variance in AQ scores was specific to the AQ, with the remaining half shared with genetic variance in WB and SOC. Endorsement of autistic traits in a general population sample is associated with social and withdrawn behavioral problems and these problems partly share a common genetic etiology with autistic traits. However, most of the variance in AQ scores remains unexplained by YSR scores, and half of the genetic variance in AQ is unshared with WB and SOC. These results indicate that autistic traits have specific characteristics that are substantially genetically independent from other common but related behavioral domains such as social problems and withdrawn behavior.

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