scholarly journals The Development of a Multidimensional Inventory for the Assessment of Mental Pain (FESSTE 30)

2021 ◽  
Vol 12 ◽  
Author(s):  
Karin Flenreiss-Frankl ◽  
Jürgen Fuchshuber ◽  
Human Friedrich Unterrainer
Keyword(s):  
Factor Analysis ◽  
General Population ◽  
Population Sample ◽  
Brief Symptom Inventory ◽  
Traumatic Experiences ◽  
Assessment Procedure ◽  
Self Assessment ◽  
Final Version ◽  
Mental Pain ◽  
German Speaking

Background: Although the term “mental pain” is often the subject of expert opinions regarding claims for damages, there is still no standardized questionnaire in the German-speaking area to operationalize this concept. Therefore, the aim of this work is the development and validation of a self-assessment measurement for psychological pain after traumatic events (FESSTE).Methods:A first version of the questionnaire was applied on a sample of the German speaking general population (N = 425; 88% female). After performing an item analysis and exploratory factor analysis, the questionnaire was shortened and tested on a second German speaking general population sample (N = 619; 89% female). Finally, the newly developed questionnaire was related to the extent of traumatization (measured with a uniquely designed trauma checklist attached to the FESSTE) and already established instruments for the assessment of psychiatric symptom burden, which included the Brief Symptom Inventory-18 (BSI-18) and the Post-traumatic-Stress-Scale (PTSS-10).Results: The final version of the FESSTE consists of a total of 30 items and covers the subscales “Somatization,” “Depression,” “Intrusive Memories,” “Dissociation” and “Anxiety,” and a total scale “Mental Pain.” Based on the confirmatory factor analysis, it is assumed that the latent factor structure of the FESSTE can be best described as a bifactor-model. The final version shows a satisfactory model fit, high internal consistencies, and strong positive correlations with the BSI-18 and PTSS-10, as well as the extent of traumatic experiences.Discussion: The FESSTE enables an operationalization of mental pain comprising five subscales and one total scale. What is more, the trauma checklist attached to the FESSTE allows for the standardized assessment of potentially traumatic experiences and the corresponding extent of these experiences. The results indicate that the FESSTE is a reliable and valid self-assessment procedure for mental pain, which is suitable for use in research and in expert practice.

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 Latent Structure of Combined Autistic and ADHD Symptoms in Clinical and General Population Samples: A Scoping Review

2021 ◽  
Vol 12 ◽  
Author(s):  
Aneta D. Krakowski ◽  
Peter Szatmari ◽  
Jennifer Crosbie ◽  
Russell Schachar ◽  
Eric Duku ◽  
...  
Keyword(s):  
Factor Analysis ◽  
General Population ◽  
Scoping Review ◽  
Latent Class ◽  
Population Sample ◽  
Autism Spectrum ◽  
General Population Sample ◽  
Adhd Symptoms ◽  
Inclusion Criteria ◽  
Hyperactivity Disorder

Background: Many phenotypic studies have estimated the degree of comorbidity between Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD), but few have examined the latent, or unobserved, structure of combined ASD and ADHD symptoms. This is an important perquisite toward better understanding the overlap between ASD and ADHD.Methods: We conducted a scoping review of studies that examined the factor or latent class structure of ASD and ADHD symptoms within the same clinical or general population sample.Results: Eight studies met final inclusion criteria. Four factor analysis studies found that ASD and ADHD domains loaded separately and one found that some ASD and ADHD domains loaded together. In the three latent class studies, there were evidence of profiles with high levels of co-occurring ASD and ADHD symptoms.Conclusions: Our scoping review provides some evidence of phenotypic overlap between ASD and ADHD at the latent, or unobserved, level, particularly when using a “person-centered” (latent class analysis) vs. a “variable-centered” (factor analysis) approach.

scholarly journals Mixture modelling of DSM-IV-TR paranoid personality disorder criteria in a general population sample

2008 ◽  
Vol 5 (1) ◽  
Author(s):  
Sharon Devine ◽  
Brendan Bunting ◽  
Siobhan McCann ◽  
Sam Murphy
Keyword(s):  
Factor Analysis ◽  
Measurement Error ◽  
Personality Disorder ◽  
General Population ◽  
Latent Class ◽  
Population Sample ◽  
Mixture Modelling ◽  
Paranoid Personality Disorder ◽  
Paranoid Personality ◽  
Dsm Iv

Complications in the research into personality disorders may be rooted in the assumption within psychiatric diagnosis that underlying constructs are measured with equally valid observed items without rank or recognition of measurement error. The aim of this paper is to investigate the internal validity of DSM-IV (APA, 2000) paranoid personality disorder while accounting for measurement error and the continuous and categorical nature of the construct. General population data from the British Psychiatric Morbidity Survey (Singleton et al., 2001) was obtained from the Data Archives, University of Essex, England. Information from individuals with responses in the paranoid personality disorder section (n = 8393) of the Structured Clinical Interview for DSM-IV Axis II Disorders (SCID-II; First et al., 1997) screening questionnaire was analysed using confirmatory factor analysis (CFA), item response theory (IRT), latent class analysis (LCA) and latent class factor analysis (LCFA) mixture modelling. Results indicated that a one-factor model adequately represented the data, and that all items had reasonable factor loadings. However IRT analysis indicated that only four of the seven criteria discriminate well between individuals along different points of the underlying continuum. LCA and LCFA provided another perspective on the evaluation of paranoid personality disorder and indicated the presence of four underlying sub-populations. This is useful in terms of clinical and primary health settings as specific groups of interest can be investigated further in terms of characteristics, covariates and predictors.

Psychometric properties of Persian version of Cognitive Behavioural Avoidance Scale: results from student, general population and clinical samples in Iran

2020 ◽  
Vol 48 (6) ◽  
pp. 705-716
Author(s):  
Reza Moloodi ◽  
Keith Dobson ◽  
Ladan Fata ◽  
Abbas Pourshahbaz ◽  
Parvaneh Mohammadkhani ◽  
...  
Keyword(s):  
Factor Analysis ◽  
General Population ◽  
Psychometric Properties ◽  
Clinical Sample ◽  
Population Sample ◽  
Clinical Samples ◽  
Depression Symptoms ◽  
General Population Sample ◽  
Student Sample ◽  
Persian Version

AbstractBackground:There is no published evidence about the psychometric properties of the Cognitive Behavioral Avoidance Scale (CBAS) in Eastern cultures.Aims:The current research evaluated the psychometric properties of a Persian version of the CBAS.Method:The research consisted of two studies. In Study 1, a university student sample (n = 702) completed the CBAS, the Beck Depression Inventory-II, the Thought Control Questionnaire and the Anxious Thoughts Inventory. In Study 2, a general population sample (n = 384) and a clinical sample (n = 152) completed the CBAS, the Young Compensation Inventory and the Depression, Anxiety, Stress Scale-21.Results:Exploratory factor analysis of the data from Study 1 suggested a four-factor solution for CBAS. The CBAS had acceptable internal consistency and test–re-test reliability, and showed significant correlations with depression symptoms and anxious thoughts. Confirmatory factor analysis of the data from Study 2 indicated good fit between the four-factor model and data. The CBAS had a significant relationship with depression, anxiety and stress symptoms, but no associations with schema compensatory behaviour strategy. Finally, the CBAS and its subscales successfully distinguished a clinical sample from a general population sample.Conclusions:The findings provide preliminary evidence for reliability and validity of the CBAS among Iranian student, general population and clinical samples.

Equivalent Factorial Structure of the Brief Symptom Inventory (BSI) in Clinical and Nonclinical Jordanian Populations

2010 ◽  
Vol 26 (2) ◽  
pp. 116-121 ◽  
Author(s):  
Fawzi S. Daoud ◽  
Amjed A. Abojedi
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Clinical Sample ◽  
Brief Symptom Inventory ◽  
Factorial Structure ◽  
Symptom Inventory ◽  
Confirmatory Factor ◽  
Item Checklist ◽  
General Psychological Distress

This study investigates the equivalent factorial structure of the Brief Symptom Inventory (BSI) in clinical and nonclinical Jordanian populations, using both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The 53-item checklist was administered to 647 nonclinical participants and 315 clinical participants. Eight factors emerged from the exploratory factor analysis (EFA) for the nonclinical sample, and six factors emerged for the clinical sample. When tested by parallel analysis (PA) and confirmatory factor analysis (CFA), the results reflected a unidimensional factorial structure in both samples. Furthermore, multigroup CFA showed invariance between clinical and nonclinical unidimensional models, which lends further support to the evidence of the unidimensionality of the BSI. The study suggests that the BSI is a potentially useful measure of general psychological distress in clinical and nonclinical population. Ideas for further research are recommended.

scholarly journals Developmental trajectories of autistic social traits in the general population

2021 ◽  
pp. 1-9
Author(s):  
Richard Pender ◽  
Pasco Fearon ◽  
Beate St Pourcain ◽  
Jon Heron ◽  
Will Mandy
Keyword(s):  
General Population ◽  
Full Range ◽  
Population Sample ◽  
Autistic Traits ◽  
Communication Disorders ◽  
Autism Spectrum ◽  
Growth Mixture Modelling ◽  
Autistic People ◽  
Social Difficulties ◽  
Autism Trait

Abstract Background Autistic people show diverse trajectories of autistic traits over time, a phenomenon labelled ‘chronogeneity’. For example, some show a decrease in symptoms, whilst others experience an intensification of difficulties. Autism spectrum disorder (ASD) is a dimensional condition, representing one end of a trait continuum that extends throughout the population. To date, no studies have investigated chronogeneity across the full range of autistic traits. We investigated the nature and clinical significance of autism trait chronogeneity in a large, general population sample. Methods Autistic social/communication traits (ASTs) were measured in the Avon Longitudinal Study of Parents and Children using the Social and Communication Disorders Checklist (SCDC) at ages 7, 10, 13 and 16 (N = 9744). We used Growth Mixture Modelling (GMM) to identify groups defined by their AST trajectories. Measures of ASD diagnosis, sex, IQ and mental health (internalising and externalising) were used to investigate external validity of the derived trajectory groups. Results The selected GMM model identified four AST trajectory groups: (i) Persistent High (2.3% of sample), (ii) Persistent Low (83.5%), (iii) Increasing (7.3%) and (iv) Decreasing (6.9%) trajectories. The Increasing group, in which females were a slight majority (53.2%), showed dramatic increases in SCDC scores during adolescence, accompanied by escalating internalising and externalising difficulties. Two-thirds (63.6%) of the Decreasing group were male. Conclusions Clinicians should note that for some young people autism-trait-like social difficulties first emerge during adolescence accompanied by problems with mood, anxiety, conduct and attention. A converse, majority-male group shows decreasing social difficulties during adolescence.

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