OBJECTIVE AND BACKGROUND: The 10-item Edinburgh Postnatal Depression Scale (EPDS) is a widely-used screening measure for postnatal depression. Factor analysis studies have suggested an embedded sub-scale could be used for screening for anxiety disorders. The current investigation sought to replicate and extend a recent study supporting this assertion. METHODS: A cross-sectional design. EPDS data were collected at up to two years postpartum. Confirmatory factor analysis, correlational and distributional characteristics of the measure were examined. Participants were a large sample (N = 985) of postpartum women in the Czech Republic. RESULTS: Factor structure findings substantially replicated the models evaluated by Della Vedova et al. (2022). Bifactor models, however, offered a better fit to data. A general factor of depression explained most of the variance in data in most models compared to embedded sub-scales across models. CONCLUSION: The model proposed by Della Vedova et al. (2022) offered an excellent fit to data. However, the findings from the bifactor modelling suggest the dominance of a general factor of depression which indicates the potential application of an embedded anxiety sub-scale for screening may be overstated.

• MeSH
• Adult MeSH
• Factor Analysis, Statistical MeSH
• Humans MeSH
• Young Adult MeSH
• Depression, Postpartum * diagnosis   psychology   MeSH
• Cross-Sectional Studies MeSH
• Psychiatric Status Rating Scales * standards   MeSH
• Psychometrics MeSH
• Reproducibility of Results MeSH
• Check Tag
• Adult MeSH
• Humans MeSH
• Young Adult MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Geographicals
• Czech Republic MeSH

Cieľom štúdie je overenie psychometrických vlastností škály CAV, určenej na mapovanie skúseností s kyberagresiou a kyberviktimizáciou. Nástroj je tvorený 24 položkami rozdelenými do dvoch subškál: Kyberagresia (CAV-CB; 12 položiek) a Kyberviktimizácia (CAV-CV; 12 položiek). Výskumný súbor pozostával z N = 5 159 respondentov/tiek vo veku od 14 do 18 rokov (M = 16,06; SD = 1,159), pričom 51,3 % tvorili chlapci a 48,7 % dievčatá. Na overenie faktorovej štruktúry bola použitá konfirmačná faktorová analýza (CFA), aplikovaná metódou DWLS s robustnou korekciou, pričom posudzované boli štandardné indexy zhody. Na základe výsledkov analýz bol podporený dvojfaktorový model: χ2 (251) = 530,064; p < 0,001; CFI = 0,993; TLI = 0,992; RMSEA = 0,016 (90% CI: 0,014 – 0,018). Analýza invariancie merania bola vykonaná vzhľadom na rod a vek, pričom testované boli konfigurálna, metrická, skalárna a striktná invariancia. Hodnoty testov invariancie merania pri porovnaní podľa rodu a veku boli konzistentné so všetkými modelmi invariancie, čo umožňuje porovnávanie skóre medzi skupinami. Reliabilita škály bola hodnotená pomocou Cronbachovho α a McDonaldovho ω, pričom faktory mali uspokojivú vnútornú konzistenciu (CAV-CB: α = 0,907, ω = 0,908; CAV-CV: α = 0,920, ω = 0,921). Kyberagresia signifikantne korelovala s kyberviktimizáciou (r = 0,699; p < 0,001), čo naznačuje vzájomnú súvislosť medzi oboma faktormi. Percentilová distribúcia skóre v populácii dospievajúcich umožnila stanoviť orientačné normo-referenčné hranice pre subškály CAV-CB a CAV-CV, na základe ktorých bola vytvorená trojstupňová klasifikácia úrovne expozície určená na výskumné a preventívne účely.

The aim of this study was to evaluate the psychometric properties of the Cyber-Aggression and Cyber- Victimization Scale (CAV), which was developed to assess adolescents’ experiences with cyber-aggression and cyber-victimisation. The instrument consists of 24 items divided into two subscales: Cyber-aggression (CAV-CB; 12 items) and Cyber-victimization (CAV-CV; 12 items). The research sample comprised N = 5,159 adolescents aged 14 to 18 years (M = 16.06; SD = 1.159), with 51.3%boys and 48.7%girls. Confirmatory factor analysis (CFA) was used to assess the factor structure, employing the DWLS method with robust corrections and evaluating standard goodness-of-fit indices. The analysis supported a two-factor model: χ2 (251) = 530.064; p < .001; CFI = .993; TLI = .992; RMSEA = .016 (90% CI: .014–.018). Measurement invariance was tested across gender and age groups, including configural, metric, scalar, and strict invariance. Invariance testing results indicated acceptable fit for all models, supporting the comparability of scores across groups. Reliability was assessed using Cronbach’s alpha and McDonald’s omega, both indicating satisfactory internal consistency (CAV-CB: α = .907, ω = .908; CAV-CV: α = .920, ω = .921). Cyberaggression showed a significant correlation with cybervictimization (r = .699; p < .001), indicating a substantial relationship between the two constructs. The percentile distribution of scores in the adolescent population made it possible to establish provisional norm-referenced cut-off points for the CAV-CB and CAV- CV subscales, based on which a three-level classification of exposure was created for research and preventive purposes.

The UPPS-P Impulsive Behavior Model and the various psychometric instruments developed and validated based on this model are well established in clinical and research settings. However, evidence regarding the psychometric validity, reliability, and equivalence across multiple countries of residence, languages, or gender identities, including gender-diverse individuals, is lacking to date. Using data from the International Sex Survey (N = 82,243), confirmatory factor analyses and measurement invariance analyses were performed on the preestablished five-factor structure of the 20-item short version of the UPPS-P Impulsive Behavior Scale to examine whether (a) psychometric validity and reliability and (b) psychometric equivalence hold across 34 country-of-residence-related, 22 language-related, and three gender-identity-related groups. The results of the present study extend the latter psychometric instrument's well-established relevance to 26 countries, 13 languages, and three gender identities. Most notably, psychometric validity and reliability were evidenced across nine novel translations included in the present study (i.e., Croatian, English, German, Hebrew, Korean, Macedonian, Polish, Portuguese-Portugal, and Spanish-Latin American) and psychometric equivalence was evidenced across all three gender identities included in the present study (i.e., women, men, and gender-diverse individuals).

• MeSH
• Adult MeSH
• Factor Analysis, Statistical MeSH
• Gender Identity * MeSH
• Impulsive Behavior * MeSH
• Language MeSH
• Middle Aged MeSH
• Humans MeSH
• Adolescent MeSH
• Young Adult MeSH
• Surveys and Questionnaires MeSH
• Psychometrics MeSH
• Reproducibility of Results MeSH
• Cross-Cultural Comparison MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Adolescent MeSH
• Young Adult MeSH
• Male MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Validation Study MeSH

Cognitive flexibility (CF) is the ability to adapt cognitive strategies according to the changing environment. The deficit in CF has often been linked to various neurological and psychiatric disorders including schizophrenia. However, the operationalization and assessment of CF have not been unified and the current research suggests that the available instruments measure different aspects of CF. The main objective of the present study was to compare three frequently used neuropsychological measures of CF-Wisconsin Card Sorting Test (WCST), Trail Making Test (TMT) and Stroop Color and Word Test (SCWT) in a population of patients (N = 220) with first-episode schizophrenia spectrum disorders in order to evaluate their convergent validity. The hypothesis of an underlying latent construct was tested via a confirmatory factor analysis. We used a one-factor CF model with scores from WCST, SCWT and TMT as observed variables. The established model showed a good fit to the data (χ2 = 1.67, p = 0.43, SRMR = 0.02, RMSEA = 0.0, CFI = 1.00). The highest factor loading was found in WCST as CF explained most of the variance in this neuropsychological measure compared to the other instruments. On the other hand, a TMT ratio index and a SCWT interference demonstrated lowest loadings in the model. The findings suggest that not all the frequently used measures share an underlying factor of CF or may capture different aspects of this construct.

• MeSH
• Adult MeSH
• Executive Function * physiology   MeSH
• Factor Analysis, Statistical MeSH
• Cognitive Dysfunction * etiology   diagnosis   physiopathology   MeSH
• Cognitive Flexibility MeSH
• Middle Aged MeSH
• Humans MeSH
• Adolescent MeSH
• Young Adult MeSH
• Neuropsychological Tests * standards   MeSH
• Psychometrics MeSH
• Schizophrenic Psychology * MeSH
• Schizophrenia * complications   physiopathology   MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Adolescent MeSH
• Young Adult MeSH
• Male MeSH
• Female MeSH
• Publication type
• Journal Article MeSH

Introduction: The ability to self-care is considered essential in heart failure management. One of the valid and reliable instruments that allow the measurement of heart failure self-care behaviour is the European Heart Failure Self-Care Behaviour Scale (EHFScBS-9). Objective: To adapt and assess psychometric properties of the Slovak version of the EHFScBS-9. Methods: In this descriptive validation study, 122 Slovak heart failure patients completed the EHFScBS-9, the Cardiac Self-Efficacy Questionnaire (CSEQ), and Personal Well-being Index (PWI). Item analysis, confirmatory factor analysis (CFA), and convergent and discriminant validity were evaluated. Cronbach's alpha was calculated to assess reliability. Results: The results of CFA confirmed a good fit of the two- respectively three-factor structure of the Slovak EHFScBS-9. Convergent validity was confirmed by positive correlation between the Slovak EHFScBS-9 and the CSEQ. Discriminant validity was supported by poor correlation between EHFScBS-9 and PWI. Cronbach's alpha coefficient for the total EHFScBS-9 instrument of Slovak version was 0.77. Conclusion: The Slovak version of the EHFScBS-9 instrument is valid and reliable to measure self-care behaviour in heart failure patients.

• MeSH
• Factor Analysis, Statistical MeSH
• Middle Aged MeSH
• Humans MeSH
• Self Care methods   psychology   MeSH
• Surveys and Questionnaires MeSH
• Psychometrics * methods   MeSH
• Reproducibility of Results MeSH
• Aged MeSH
• Heart Failure * psychology   MeSH
• Statistics as Topic MeSH
• Check Tag
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Research Support, Non-U.S. Gov't MeSH
• Validation Study MeSH
• Geographicals
• Slovakia MeSH

Aim: The study aimed to investigate the level of postpartum anxiety in the research sample of women after childbirth and factors related to increased level of postpartum anxiety. The goal was also to establish the basic psychometric properties of the Postpartum Specific Anxiety Scale (PSAS-SK) in the Slovak language, and explore selected sociodemographic, perinatal, and anamnestic factors related to increased level of postpartum anxiety in a Slovak research sample. Design: Quantitative cross-sectional research study. Methods: The study involved 122 postpartum women (four-eight weeks postpartum, age 29.5; ± 4.8; 19-42). Data were collected using the standardized PSAS-SK questionnaire alongside sociodemographic and anamnestic data. Statistical analyses included nonparametric tests (Kruskal-Wallis test and Mann-Whitney U test) and confirmatory factor analysis (CFA) to assess the results. Results: Clinically significant levels of postpartum anxiety occurred in 25% of research participants. We found a significant relationship between perception of childbirth as traumatic and increased levels of postpartum anxiety. However, no significant relationship was confirmed between level of postpartum anxiety and education parity, type of childbirth, complications during pregnancy, perinatal loss, skin-to-skin contact, or health complications in the child. The PSAS-SK had high internal consistency in a Slovak research sample (Cronbach's alpha 0.96). Results of the CFA focusing on confirmation of the four-factor structure of the PSAS-SK indicated the following results: χ2(df = 405) = 2188.0, p < 0.001, CFI = 0.07, RMSEA = 0.008. Conclusion: The Postpartum Specific Anxiety Scale is a valuable tool for the early detection of postpartum anxiety symptoms and for supporting interventions to manage heightened anxiety during the postpartum period, including recommendation of specialized mental health care when appropriate.

• MeSH
• Adult MeSH
• Mental Health statistics & numerical data   MeSH
• Factor Analysis, Statistical MeSH
• Obstetrics and Gynecology Department, Hospital MeSH
• Humans MeSH
• Statistics, Nonparametric MeSH
• Depression, Postpartum * diagnosis   epidemiology   psychology   MeSH
• Psychometrics * methods   MeSH
• Statistics as Topic MeSH
• Anxiety diagnosis   epidemiology   psychology   MeSH
• Self Report MeSH
• Check Tag
• Adult MeSH
• Humans MeSH
• Female MeSH
• Publication type
• Validation Study MeSH
• Geographicals
• Slovakia MeSH

Moral injury is defined as a deep sense of transgression, including feelings of shame, grief, meaninglessness, and remorse from having violated core moral beliefs. This study aimed to adapt the Moral Injury Symptom Scale-Healthcare Professionals (MISS-HP) for measure this concept in the Czech Republic and explore its psychometric properties. Sample of healthcare providers (N = 694) completed the MISS-HP questionnaires, the Shirom Melamed Burnout Measure (SMBM) and the Professional Quality of Life scale (PROQoL). Cronbach ́s alpha of MISS-HP was found to be 0.62; exploratory factor analysis returned 4 factors. Correlations with SMBM and PROQoL were moderate (from 0.31-0.46), which confirmed the construct validity of MISS-HP. ROC curve analysis identified the optimal cut-off score at 42 points with 75% sensitivity and 69% specificity. Female gender, younger age and atheism were related to higher symptoms of moral injury. Czech MISS-HP was found to be a valid and reliable measure of moral injury.

• MeSH
• Adult MeSH
• Quality of Life MeSH
• Middle Aged MeSH
• Humans MeSH
• Morals * MeSH
• Burnout, Professional * psychology   diagnosis   MeSH
• Surveys and Questionnaires MeSH
• Psychometrics * methods   MeSH
• Reproducibility of Results MeSH
• Health Personnel * psychology   MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Geographicals
• Czech Republic MeSH

Construct: The Knowledge of Malnutrition - Geriatric 2.0' (KoM-G 2.0) instrument was designed to quantify nursing staff malnutrition knowledge in inpatient medical and rehabilitation care facilities, as well as home health care. It has been used to assess grasp of current clinical practice guidelines and proficiency in addressing issues related to malnutrition. It provides insight into familiarity with and capacity to tackle issues pertaining to malnutrition in clinical practice. Furthermore, it has been used assess the effectiveness of educational interventions aimed at improving nursing professionals knowledge and awareness of malnutrition. Background: The quality of nursing education affects malnutrition risk assessment, monitoring of food intake, and effectiveness of nutrition care. Improvements in malnutrition education require determining the current level of knowledge and benchmarking with other countries. In the Czech Republic, no nationwide assessment of nursing staff malnutrition knowledge has ever been conducted. Approach: The purpose of the study was to translate the KoM-G 2.0 instrument, gather initial validity evidence, and evaluate nursing staff knowledge of malnutrition in inpatient medical, rehabilitation care facilities, and home care in the Czech Republic. All inpatient healthcare facilities and home healthcare facilities in the Czech Republic were invited to participate. The Czech version of the internationally standardized KoM-G 2.0 (KoM-G 2.0 CZ) was used to assess nursing staff malnutrition knowledge between 3 February 2021 and 31 May 2021. A total of 728 nurses began the questionnaire, and 465 (63.9%) of respondents completed it and were included in the study. Data analyses examined instrument difficulty, discriminability, and reliability, as well as sources of variation in knowledge scores. Findings: The psychometric characteristics of the KoM-G 2.0 CZ instrument included the difficulty index Q (0.61), the discriminant index (ULI 0.29, RIT 0.38, upper-lower 30% 0.67), and Cronbach alpha (0.619). The overall mean of correct answers was 6.24 (SD 2.8). There was a significant impact of educational attainment and nutrition training on KoM-G 2.0 CZ scores. Conclusions: Our findings provide initial validity evidence that KoM-G 2.0 CZ is useful and appropriate for assessing malnutrition knowledge among Czech nursing staff. Our research identified gaps in knowledge and examples of good practice in understanding malnutrition that can be applied internationally. The knowledge of academic nurses was greater; therefore, we suggest they play a key role in nutritional care. We recommend continuous education to improve understanding of malnutrition in this setting.

• MeSH
• Adult MeSH
• Clinical Competence standards   MeSH
• Middle Aged MeSH
• Humans MeSH
• Nursing Staff education   MeSH
• Malnutrition * MeSH
• Cross-Sectional Studies MeSH
• Surveys and Questionnaires MeSH
• Psychometrics * MeSH
• Health Knowledge, Attitudes, Practice MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Geographicals
• Czech Republic MeSH

INTRODUCTION: Digital health information sources are playing an increasingly prominent role in health promotion, public health and in healthcare systems. Consequently, digital health literacy skills are likewise becoming increasingly important. METHODS: Using a concept validation approach, the aim of the study was to validate a digital health literacy measure applied in the European Health Literacy Survey 2019-2021 (HLS19) of the WHO M-POHL Network, analyzing data from 28,057 respondents from 13 European countries. RESULTS: The scale displayed high internal consistency. Confirmatory factor analysis (CFA) strengthened the hypothesized one-factor structure. In most countries, the data displayed acceptable fit to the unidimensional Rasch partial credit model (PCM). Pearson correlation with a measure of general health literacy showed sufficient discriminant validity, and a social gradient was found. Testing for predictive validity showed that the scale score predicts health-related outcomes. DISCUSSION: The study shows that considerable proportions of the general adult populations across countries in Europe have limited DHL skills. The level of DHL has direct potential consequences for some forms of health service utilization, in some countries. Implications of the study include recommendations for improving digital health literacy, promoting organizational health literacy and quality assurance for digital health information and resources.

• MeSH
• Adult MeSH
• Factor Analysis, Statistical MeSH
• Middle Aged MeSH
• Humans MeSH
• Adolescent MeSH
• Young Adult MeSH
• Surveys and Questionnaires standards   MeSH
• Psychometrics MeSH
• Reproducibility of Results MeSH
• Aged MeSH
• Health Literacy * statistics & numerical data   MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Adolescent MeSH
• Young Adult MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Validation Study MeSH
• Geographicals
• Europe MeSH

OBJECTIVE: This study aimed to evaluate the reliability and validity of the Binge Eating Disorder Screener-7 (BEDS-7) across 42 countries and 26 languages, assessing its reliability and validity as a screening tool for binge-eating disorder (BED) in diverse cultural contexts. Specifically, it sought to enhance early recognition of BED symptoms in primary care settings globally, contributing to a standardized framework for assessing BED. METHOD: The International Sex Survey, a cross-sectional online study, was conducted in 42 countries and 26 languages. A diverse community sample of 82,243 participants, aged 18 years or older, completed the BEDS-7 and measures of sexuality, mental health, substance use, and sociodemographic characteristics. Confirmatory factor analyses and tests of measurement invariance were employed to evaluate the reliability and validity of the BEDS-7 across languages, countries, genders, and sexual orientations. RESULTS: The BEDS-7 demonstrated scalar factorial invariance across languages and countries, indicating consistent factor loadings and item intercepts. In contrast, the screener showed residual invariance across gender and sexual orientation groups, supporting its robustness across these demographics. Kruskal-Wallis tests revealed significant differences in BED symptoms across languages, countries, genders, and sexual orientations, with the highest BED scores observed among queer, pansexual, and gender-diverse individuals. The BEDS-7 also demonstrated adequate reliability (Cronbach's alpha > 0.80) and moderate criterion validity. DISCUSSION: The findings provide further evidence of the reliability and validity of the BEDS-7 as a potential screening tool for identifying probable cases of BED globally, facilitating early intervention in primary care settings.

• MeSH
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Adolescent MeSH
• Young Adult MeSH
• Cross-Sectional Studies MeSH
• Surveys and Questionnaires MeSH
• Psychiatric Status Rating Scales * standards   MeSH
• Psychometrics MeSH
• Reproducibility of Results MeSH
• Cross-Cultural Comparison * MeSH
• Binge-Eating Disorder * diagnosis   MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Adolescent MeSH
• Young Adult MeSH
• Male MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Validation Study MeSH