General Factor Research Articles

Life Course Models of Child Maltreatment: Effects on General Psychopathology Outcomes in a Longitudinal Sample.

The study compared life course models (LCM; accumulation, recency, and sensitive period) of child maltreatment and general psychopathology in a large, national longitudinal data set of 1354 youth ages birth-16years (657 boys, 53.2% Black, 59.7% <$40K caregiver income). Previous research has supported the accumulation and recency models, albeit with shorter or fewer time periods of outcome measurement. We extend this work by modeling the impact of combined abuse and neglect allegations on a general psychopathology factor (dysregulation profile). Cross-sectional structural equation models were constructed using LCMs and tested across two-year periods from 4-16years old and compared using Akaike Information Criterion weights. The recency variable generally explained the greatest proportion of variance in psychopathology. Notably, maltreatment more proximal to the time of outcome measurement had the strongest effect, suggesting that more recent maltreatment may have stronger effects on general psychopathology. These results lend support to a recency effect of maltreatment on psychopathology outcomes, although substantive overlaps with the accumulation model are noted.

How should coronaphobia Be conceptualized? Evaluating competing models of the COVID-19 Phobia Scale using confirmatory factor analysis

Coronaphobia represents the fears and phobias attributed to the COVID-19 virus and pandemic. The COVID-19 Phobia Scale, previously validated as a four-factor structure, is a widely used multidimensional measure to assess coronaphobia. The current study scrutinized various competing factor structures of this instrument to identify the optimal psychometric representation of coronaphobia. Adults (N = 412) ranging in age from 19 to 84 years completed the COVID-19 Phobia Scale. Several theoretically plausible factor structures of coronaphobia were tested and compared using confirmatory factor analysis: four-factor structure, one-factor structure, higher-order factor structure, and five-factor bifactor structure. The one-factor structure showing an overarching factor of COVID-19 phobia revealed the poorest fit to the data. The five-factor bifactor structure that allowed every item to double-load on the COVID-19 general phobia factor alongside one of the COVID-19 specific phobia factors (psychological phobia, psycho-somatic phobia, economic phobia, or social phobia) produced the strongest fit indices and was superior to the widely accepted four-factor structure. The five-factor bifactor structure demonstrated multi-group measurement invariance across gender, race, age, and state urbanization. Furthermore, the general phobia factor and the psycho-somatic phobia factor from the five-factor bifactor structure uniquely predicted present moment state anxiety using structural equation modeling. This psychometric investigation underscores that coronaphobia is experienced as a general pandemic fear that is simultaneously experienced with specific domains of pandemic fears. Theoretical and methodological insights are offered for conceptualizing and measuring coronaphobia and understanding how pandemic phobias differ from traditional phobias.

Success factors for interventions to reduce low-value imaging. Six crucial lessons learned from a practical case study in Norway

BackgroundSubstantial overuse of health care services is identified and intensified efforts are incited to reduce low-value services in general and in imaging in particular. ObjectiveTo report crucial success factors for developing and implementing interventions to reduce specific low-value imaging examinations based on a case study in Norway. Materials and methodsMixed methods design including one systematic review, one scoping review, implementation science, qualitative interviews, content analysis of stakeholders’ input, and stakeholder deliberations. ResultsThe description and analysis of an intervention to reduce low-value imaging in Norway identifies six general success factors: 1) Acknowledging complexity: advanced knowledge synthesis, competence of the context, and broad and strong stakeholder involvement is crucial to manage de-implementation complexity. 2) Clear consensus-based criteria for selecting low-value imaging procedures are key. 3) Having a clear target group is critical. 4) Stakeholder engagement is essential to ascertain intervention relevance and compliance. 5) Active and well-motivated intervention collaborators is imperative. 6) Paying close attention to the mechanisms of low-value imaging and the barriers to reduce it is decisive. ConclusionReducing low-value imaging is crucial to increase the quality, safety, efficiency, and sustainability of the health services. Reducing low-value imaging is a complex task and paying attention to specific practical success factors is key.

Development of SERS Active Nanoprobe for Selective Adsorption and Detection of Alzheimer's Disease Biomarkers Based on Molecular Docking.

Development of SERS-based Raman nanoprobes can detect the misfolding of Amyloid beta (Aβ) 42 peptides, making them a viable diagnostic technique for Alzheimer's disease (AD). The detection and imaging of amyloid peptides and fibrils are expected to help in the early identification of AD. Here, we propose a fast, easy-to-use, and simple scheme based on the selective adsorption of Aβ42 molecules on SERS active gold nanoprobe (RB-AuNPs) of diameter 29 ± 3 nm for Detection of Alzheimer's Disease Biomarkers. Binding with the peptides results in a spectrum shift, which correlates with the target peptide. We also demonstrated the possibility of using silver nanoparticles (AgNPs) as precursors for the preparation of a SERS active nanoprobe with carbocyanine (CC) dye and AgNPs known as silver nanoprobe (CC-AgNPs) of diameter 25 ± 4 nm. RB-AuNPs probe binding with the peptides results in a spectrum shift, which correlates with the target peptide. Arginine peak appears after the conjugation confirms the binding of Aβ 42 with the nanoprobe. Tyrosine peaks appear after conjugated Aβ42 with CC-AgNPs providing binding of the peptide with the probe. The nanoprobe produced a strong, stable SERS signal. Further molecular docking was utilized to analyse the interaction and propose a structural hypothesis for the process of binding the nanoprobe to Aβ42 and Tau protein. This peptide-probe interaction provides a general enhancement factor and the molecular structure of the misfolded peptides. Secondary structural information may be obtained at the molecular level for specific residues owing to isotope shifts in the Raman spectra. Conjugation of the nanoprobe with Aβ42 selectively detected AD in bodily fluids. The proposed nanoprobes can be easily applied to the detection of Aβ plaques in blood, saliva, and sweat samples.

Long-term complications and management of dental trauma in the adult patient - Part 2: discoloured, displaced and missing teeth.

The second paper in this two-part review series aims to outline the long-term complications of dental trauma in the adult patient in relation to discoloured, displaced or missing teeth. A brief overview of the cause of discolouration is outlined, followed by assessment and management options. These can include bleaching, veneers, or crown restorations to mask the discolouration. Displacement of teeth from the socket can occur due to luxation injuries. Management can include simple digital manipulation, surgical repositioning, or orthodontic extrusion based on the severity of extrusion and the time from injury. Teeth can be lost early or in the long-term following dental trauma and associated hard and soft tissues deficiencies may also ensue. Replacement options can include a removable partial prosthesis, resin-retained bridge or dental implants. Often, hard and soft tissue augmentation procedures may be required to address any defects and rebuild lost anatomical contours. A thorough assessment followed by the development of a sound management plan which takes patients' general and local factors into account can ensure a predictable and successful treatment outcome. This would end in an aesthetically pleasing and a functionally stable result for the patient.

Examining the Validity of the Levels of Personality Functioning Questionnaire for Adolescents Aged 12-18 (LOPF-Q 12-18): A Replication and Extension With a Sample of Lithuanian Adolescents.

With the shift to the dimensional model of personality pathology, the need for measures assessing personality functioning in adolescence has emerged. The Levels of Personality Functioning Questionnaire 12-18 (LoPF-Q 12-18) was developed specifically for adolescents, tailoring the Alternative Model of Personality Disorders in the DSM-5. Using the Lithuanian LoPF-Q 1218, we further investigate its validity by reexamining its factorial structure and extending convergent, discriminant, and incremental validity analyses. A total of 1,048 community-based and clinically referred 12-18-year-old adolescents completed the LoPF-Q 12-18 along with other self-report measures of personality pathology, psychopathological symptoms, and psychosocial functioning. In line with previous findings, the results supported the bifactor model consisting of a strong general factor and little multidimensionality caused by the group factors, overall suggesting an essentially unidimensional structure. Further analyses provided additional information on the construct validity of the LoPF-Q 12-18.

Beyond frequency: Evaluating the validity of assessing the context, duration, ability, and botherment of depression and anxiety symptoms in South Brazil.

Assessment tools for depression and anxiety usually inquire about the frequency of symptoms. However, evidence suggests that different question framings might trigger different responses. Our aim is to test if asking about symptom's context, ability, duration, and botherment adds validity to Patient Health Questionnaire-9, General Anxiety Disorder-7, and Patient-Related Outcome Measurement Information Systems depression and anxiety. Participants came from two cross-sectional convenience-sampled surveys (N = 1,871) of adults (66% females, aged 33.4 ± 13.2), weighted to approximate with the state-level population. We examined measurement invariance across the different question frames, estimated whether framing affected mean scores, and tested their independent validity using covariate-adjusted and sample-weighted structural equation models. Validity was tested using tools assessing general disability, alcohol use, loneliness, well-being, grit, and frequency-based questions from depression and anxiety questionnaires. A bifactor model was applied to test the internal consistency of the question frames under the presence of a general factor (i.e., depression or anxiety). Measurement invariance was supported across the different frames. Framing questions as ability (i.e., "How easily …") produced a higher score, compared with framing by context (i.e., "In which daily situations …"). Construct and criterion validity analysis demonstrate that variance explained using multiple question frames was similar to using only one. We detected a strong overarching factor for each instrument, with little variances left to be explained by the question frame. Therefore, it is unlikely that using different adverbial phrasings can help clinicians and researchers to improve their ability to detect depression or anxiety. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The Impact of Sparse Datasets When Harmonizing Data from Studies with Different Measures of the Same Construct.

Prevention science has increasingly turned to integrative data analysis (IDA) to combine individual participant-level data from multiple studies of the same topic, allowing us to evaluate overall effect size, test and model heterogeneity, and examine mediation. Studies included in IDA often use different measures for the same construct, leading to sparse datasets. We introduce a graph theory method for summarizing patterns of sparseness and use simulations to explore the impact of different patterns on measurement bias within three different measurement models: a single common factor, a hierarchical model, and a bifactor model. We simulated 1000 datasets with varying levels of sparseness and used Bayesian methods to estimate model parameters and evaluate bias. Results clarified that bias due to sparseness will depend on the strength of the general factor, the measurement model employed, and the level of indirect linkage among measures. We provide an example using a synthesis dataset that combined data on youth depression from 4146 youth who participated in 16 randomized field trials of prevention programs. Given that different synthesis datasets will embody different patterns of sparseness, we conclude by recommending that investigators use simulation methods to explore the potential for bias given the sparseness patterns they encounter.

A critical role of a plant-specific TFIIB-related protein, BRP1, in salicylic acid-mediated immune response.

An integral part of plant immunity is transcription reprogramming by concerted action of specific transcription factors that activate or repress genes through recruitment or release of RNA polymerase II (Pol II). Pol II is assembled into Pol II holoenzyme at the promoters through association with a group of general transcription factors including transcription factor IIB (TFIIB) to activate transcription. Unlike other eukaryotic organisms, plants have a large family of TFIIB-related proteins with 15 members in Arabidopsis including several plant-specific TFIIB-related proteins (BRPs). Molecular genetic analysis has revealed important roles of some BRPs in plant reproductive processes. In this study, we report that Arabidopsis knockout mutants for BRP1, the founding member of the BRP protein family, were normal in growth and development, but were hypersusceptible to the bacterial pathogen Psuedomonas syringae. The enhanced susceptibility of the brp1 mutants was associated with reduced expression of salicylic acid (SA) biosynthetic gene ISOCHORISMATE SYNTHASE 1 (ICS1) and SA-responsive PATHOGENESIS-RELATED (PR) genes. Pathogen-induced SA accumulation was reduced in the brp1 mutants and exogenous SA rescued the brp1 mutants for resistance to the bacterial pathogen. In uninfected plants, BRP1 was primarily associated with the plastids but pathogen infection induced its accumulation in the nucleus. BRP1 acted as a transcription activator in plant cells and binded to the promoter of ICS1. These results collectively indicate that BRP1 is a functionally specialized transcription factor that increasingly accumulates in the nucleus in response to pathogen infection to promote defense gene expression.

The results of factor analysis in the study of the etiological aspects of the furuncle of the maxillofacial region in military personnel

Rationale:In the Armed Forces of the Russian Federation, treatment of inflammatory processes of the skin and subcutaneous tissue is relevant. We have not found data on the peculiarities of the etiology of facial boils in practically healthy military personnel of the RF Armed Forces and the reasons contributing to its development. Purpose: to study the causes of the development of facial boils in military personnel, as well as the factors contributing to its appearance, to determine the nature of the relationship between them using factor analysis. Methods: In the period from 2019 to 2021, 53 patients with abscess boils of the face aged 18 to 25 years were examined and treated, among whom 38 were conscripts (72%), contract soldiers were 15 (28%). Upon admission, clinical and laboratory tests.The control group consisted of 30 practically healthy individuals in the age range from 8 to 25 years. To create a mathematical model, binomial regression analysis was used, the subject of which was to predict the development of a furuncle in the maxillofacial area in military personnel. The following variable factors were assessed: age, service life, season of development of the disease, the amount of glucose in the blood serum, lymphocytes, leukocytes, CD3+, CD4+, CD8+, IgA, IgG, IgM, regulatory T-helper cells with immunosuppressive function (CD4+CD25brightCD45+) (% of all T-helpers), skin type and microbial composition of the skin of the maxillofacial area. Results: it was found that the combination of oily skin type and certain indicators of lymphocytes (20.3±1.03%) and IgG (10.15±0.7%) in the blood increase the risk of developing a boil in the maxillofacial area in military personnel. servicemen. Conclusion: the established cumulative influence of general and local factors on the development of facial boils in military personnel allows for more targeted planning of preventive and therapeutic measures.

Multivariate, Multi-omic Analysis in 799,429 Individuals Identifies 134 Loci Associated with Somatoform Traits.

Somatoform traits, which manifest as persistent physical symptoms without a clear medical cause, are prevalent and pose challenges to clinical practice. Understanding the genetic basis of these disorders could improve diagnostic and therapeutic approaches. With publicly available summary statistics, we conducted a multivariate genome-wide association study (GWAS) and multi-omic analysis of four somatoform traits-fatigue, irritable bowel syndrome, pain intensity, and health satisfaction-in 799,429 individuals genetically similar to Europeans. Using genomic structural equation modeling, GWAS identified 134 loci significantly associated with a somatoform common factor, including 44 loci not significant in the input GWAS and 8 novel loci for somatoform traits. Gene-property analyses highlighted an enrichment of genes involved in synaptic transmission and enriched gene expression in 12 brain tissues. Six genes, including members of the CD300 family, had putatively causal effects mediated by protein abundance. There was substantial polygenic overlap (76-83%) between the somatoform and externalizing, internalizing, and general psychopathology factors. Somatoform polygenic scores were associated most strongly with obesity, Type 2 diabetes, tobacco use disorder, and mood/anxiety disorders in independent biobanks. Drug repurposing analyses suggested potential therapeutic targets, including MEK inhibitors. Mendelian randomization indicated potentially protective effects of gut microbiota, including Ruminococcus bromii. These biological insights provide promising avenues for treatment development.

Investigating the relationship between physical cognitive tasks and a social cognitive task in a wild bird

Despite considerable research into the structure of cognition in non-human animal species, there is still much debate as to whether animal cognition is organised as a series of discrete domains or an overarching general cognitive factor. In humans, the existence of general intelligence is widely accepted, but less work has been undertaken in animal psychometrics to address this question. The relatively few studies on non-primate animal species that do investigate the structure of cognition rarely include tasks assessing social cognition and focus instead on physical cognitive tasks. In this study, we tested 36 wild Western Australian magpies (Gymnorhina tibicen dorsalis) on a battery of three physical (associative learning, spatial memory, and numerical assessment) and one social (observational spatial memory) cognitive task, to investigate if cognition in this species fits a general cognitive factor model, or instead one of separate physical and social cognitive domains. A principal component analysis (PCA) identified two principal components with eigenvalues exceeding 1; a first component onto which all three physical tasks loaded strongly and positively, and a second component onto which only the social task (observational spatial memory) loaded strongly and positively. These findings provide tentative evidence for separate physical and social cognitive domains in this species, and highlight the importance of including tasks assessing both social and physical cognition in cognitive test batteries.

Demixing fluorescence time traces transmitted by multimode fibers

Optical methods based on thin multimode fibers (MMFs) are promising tools for measuring neuronal activity in deep brain regions of freely moving mice thanks to their small diameter. However, current methods are limited: while fiber photometry provides only ensemble activity, imaging techniques using of long multimode fibers are very sensitive to bending and have not been applied to unrestrained rodents yet. Here, we demonstrate the fundamentals of a new approach using a short MMF coupled to a miniscope. In proof-of-principle in vitro experiments, we disentangled spatio-temporal fluorescence signals from multiple fluorescent sources transmitted by a thin (200 µm) and short (8 mm) MMF, using a general unconstrained non-negative matrix factorization algorithm directly on the raw video data. Furthermore, we show that low-cost open-source miniscopes have sufficient sensitivity to image the same fluorescence patterns seen in our proof-of-principle experiment, suggesting a new avenue for novel minimally invasive deep brain studies using multimode fibers in freely behaving mice.

Beyond metacognition: The dominant role of the general factor of personality in learning adaptation

The notions of metacognition and ego-resiliency seem to commonly represent an ability to adaptively adjust self-control to fit the requirements of environments. The latter presents a general mechanism of adaptive adjustment while the former presents a specific example of learning activity. As ego-resiliency was almost fully indicated by the General Factor of Personality (GFP) as the literature suggested, the present study tested the relationship between the GFP and metacognition and then compared their influences on learning adaptation. As found, the GFP highly overlapped with overall metacognition (r = 0.69). Within the three dimensions of metacognition, metacognitive skills correlated with the GFP much higher than metacognitive knowledge and experience, suggesting that the GFP is more linked with the application of metacognition in learning. By comparison, the GFP displayed much higher correlations with metacognitive skills and experience as well as learning adaptation than any Big Five traits, showing its incremental power in correlation with those variables. More importantly, in the mediation model, the GFP was found to be the root reason for the outcomes of learning adaptation and accounted for most of the impact of metacognition on learning adaptation. With these findings, the limitations of the present study and suggestions for future studies were discussed.

The employee-related antecedents of work performance: exploring a three-sided model for Human Resources Management

PurposeThis research paper aims to integrate the employee-related factors that empirical literature considers antecedents of performance (skills, work motivation, personal characteristics) into a multiple linear regression model, and to test such a model in order to measure the level of each individual factor on the performance.Design/methodology/approachQuantitative, multisource research approach. After testing the validity of the model with a Confirmatory Factor Analysis, this research applies the multiple linear regression model Work performance = a(Skills) + b(Work Motivation) + c(Personal Characteristics) + e(constant) to two different samples of workers: chemical technicians (N = 63) and salespeople (N = 61).FindingsThis study confirms the factorial structure of the antecedents of work performance, showing that skills, motivation, and personal characteristics are three general employee-related factors underlying work performance. The statistical analysis highlights a variance in performance between 40 and 65% explained by employee-related factors, hence leaving 35–60% as due to factors outside the model (firm/environment-related and/or job-related factors, or other skills and personal characteristics not considered in the model). The study also highlights that employee-related factors sometimes affect performance differently than job designers' expectations, and sometimes even negatively.Research limitations/implicationsThe equation was tested on two case studies, so further explorations are needed. Furthermore, the approach adopted is inductive thus describing performance as it is, not as it should be. Therefore, it explains the best actual performance of workers, not the ideal performance.Practical implicationsThe equation tested here represents a simple and valid tool to guide many Human Resource Management practices, such as; selection, training, development, and career orientation.Social implicationsFindings provide a valid indication for designing and managing human resource management systems more even-handedly, from an organizational and employee point of view. In doing so, it drives organizations towards a better Person/Job fit.Originality/valueThe study represents one of the first attempts to take into consideration multiple factors simultaneously in explaining work performance.

Psychometric examination of the Multidimensional Psychological Flexibility Inventory Short Form (MPFI-24) and the Psy-Flex Spanish versions in individuals with chronic pain.

Acceptance and Commitment Therapy (ACT) has been found to be beneficial for individuals dealing with chronic pain. The theoretical mechanisms of change proposed by ACT are based on the Hexaflex model. To comprehensively reflect this model, the Multidimensional Psychological Flexibility Inventory (MPFI) and Psy-Flex have been developed. The study aimed to adapt the MPFI-24 and the Psy-Flex for Spanish-speaking populations with chronic pain and to examine their dimensionality, internal consistency, convergent validity and incremental validity. This cross-sectional study involved 309 Spanish-speaking adults with chronic pain who completed an online survey. The majority of the participants were women (88.3%). The ages ranged from 18 to 79 years. Factor analysis showed that the Spanish version of the MPFI-24 has 12 factors, consisting of six flexibility and six inflexibility factors, similar to the original version, but lacking second-order general factors. The Psy-Flex demonstrated a single-factor structure, maintaining the general factor of psychological flexibility seen in the original version. The MPFI-24 showed good internal consistency and adequate convergent validity, with the exception of the Acceptance and Experiential Avoidance subscales. The Psy-Flex showed good internal consistency and convergent validity. Notably, both the MPFI-24 and Psy-Flex scores significantly explained additional variance in psychological distress beyond other ACT-related measures of Hexaflex processes; however, only the Psy-Flex explained pain interference. The Spanish adaptations of the MPFI-24 and Psy-Flex are valid and reliable instruments for assessing the Hexaflex model processes in Spanish-speaking adults with chronic pain. Practitioners and researchers in chronic pain will find the Spanish versions of the MPFI-24 and the Psy-Flex here, along with recommendations for their use and scoring based on a robust psychometric rationale. It should be noted that these measures surpass the Chronic Pain Acceptance Questionnaire (CPAQ) and the Psychological Inflexibility in Pain Scale (PIPS), which are considered gold standards in chronic pain assessment.

Measurement invariance of the Suicide Cognitions Scale-Revised (SCS-R).

The Suicide Cognitions Scale-Revised (SCS-R) is a unidimensional measure of suicidal cognitions theorized to assess the suicide belief system. Several solutions have been proposed for the Suicide Cognitions Scale and SCS-R (e.g., bifactor model with two specific factors, bifactor model with two specific factors, three correlated factors model). Research indicates the endorsement of thoughts of suicide and suicide-related cognitions varies across demographics. Thus, the current investigation tested the measurement invariance (MI) of the SCS-R across gender, race, and sexual orientation within these proposed solutions and a unidimensional model. A national sample of N = 10,625 adults completed an online survey that included the SCS-R and self-report measures of demographics. Results indicated that the bifactor model with three specific factors, the bifactor model with two specific factors, and the three correlated factors models achieved scalar invariance across gender, race, and sexual orientation; a unidimensional model was not scalar invariant by gender. Tests of latent mean differences revealed significant differences in the general factor (i.e., suicidal belief system) and the specific unlovability, unbearability, and unsolvability factors between a few demographic groups. Implications for theory, measurement, and modeling are discussed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Validation of the Interpersonal Relationships in Eating Disorders (IR-ED) Scale in an Eating Disorder Sample.

Interpersonal problems have been identified as a plausible mechanism underlying the onset and maintenance of eating disorders. The Interpersonal Relationships in Eating Disorders (IR-ED) scale is the first eating disorders-specific measure of interpersonal problems, which was developed in a nonclinical sample. The aims of the current study were to (a) confirm the factor structure of the IR-ED within a large clinical sample, (b) investigate measurement invariance of the IR-ED across nonclinical and clinical samples, (c) examine the convergent validity of the IR-ED using a generic measure of interpersonal problems, and (d) investigate the incremental clinical utility of the IR-ED in uniquely predicting eating disorder symptomatology. Treatment-seeking individuals (N = 437) completed the IR-ED at their initial assessment appointment at a specialist eating disorder outpatient service. A multiple-group confirmatory factor analysis supported an invariant bifactor structure comprising a general interpersonal problems factor and two group factors-Avoidance of Body Evaluation and Food-Related Interpersonal Tension. Convergent validity was demonstrated by a large, statistically significant correlation with a generic measure of interpersonal problems (r = 0.62, p < 0.001). A series of structural equation models further revealed unique incremental predictive utility of the IR-ED for eating disorder symptomatology. The IR-ED has strong psychometric properties and may prove beneficial in the assessment, formulation, and treatment of eating-specific interpersonal problems among patients with eating disorders.

Somatic symptoms in the general population of Spain: Validation and normative data of the Patient Health Questionnaire-15 (PHQ-15)

ObjectiveThe Patient Health Questionnaire (PHQ-15) has been widely used to assess somatic symptoms. This study aimed to analyze the psychometric properties of the Spanish version of the PHQ-15, its structure and score distribution across demographic variables in a Spanish sample. In addition, we examined variations in somatic symptoms among different demographic subgroups. Method1495 individuals from the Spanish population answered a series of self-reported measures, including PHQ-15. To examine the factorial structure of the PHQ-15, Confirmatory Factor Analysis (CFA) was performed. Additionally, a bifactor CFA model was examined using the Exploratory Structural Equation Modeling (ESEM) framework. ResultsWomen showed more somatic symptoms than men, and younger individuals showed more somatic symptoms than the older ones. It was also revealed positive associations between somatic symptoms and levels of depression, anxiety, and suspiciousness, while negative associations were found between somatic symptoms and perceived resilience and happiness. Regarding the factorial structure of the PHQ-15, although the one-factor and bifactor models were suitable, the bifactor model underscores the presence of a robust general factor. LimitationsIt is a cross-sectional study, not including non-institutionalized individuals. ConclusionSomatic symptoms are more frequent in women and younger individuals. Furthermore, the presence of physical symptoms is associated to other psychological aspects, such as depression or anxiety. Finally, bifactor model was the most appropriate to explain the factorial structure of the PHQ-15.

Factor structure and invariance of the 12-item general health questionnaire (GHQ-12) for a sample of people in situations of homelessness

ABSTRACT People in situations of homelessness (PSH) have high levels of psychological impairment. Few studies have analyse the suitability of the instruments used to measure these levels. The aim of this study was to analyse the factorial structure and invariance (sex, age, nationality and housing status) of the 12-item General Health Questionnaire (GHQ-12) for a sample of PSH (n = 603) living in the Community of Madrid (Spain). A quantitative study was designed using a survey that include the GHQ-12 and other health measures (self-assessed health and diagnosis of mental illness). A comparison of three models (unidimensional, two correlated latent factors and bi-factor) showed that the bi-factor model provided the best goodness-of-fit indicators. A latent structure was identified in which each item was loaded into a general factor measuring a single GHQ-12 factor. The number of latent factors and the structure of factorial loads for GHQ-12 items were similar between groups. The GHQ-12 can be used as a screening instrument rather than as an outcome measure in different clinical dimensions. It is an appropriate instrument for assessing psychological impairment among PSH regardless of sex, age, nationality or housing status.