Inflammatory bowel disease patients' perspectives of non-medical needs.

BACKGROUND: Inflammatory bowel disease (IBD) imposes a huge burden on the healthcare systems and greatly declines the patient's quality of life. However, there is a paucity of detailed data regarding information and supportive needs as well as sources and methods of obtaining information to control different aspects of the disease from the perspectives of the patients themselves. This study aimed to establish the IBD patients' preferences of informational and supportive needs through Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). METHODS: IBD patients were recruited from different centers. Considering inclusion and exclusion criteria, 521 participants were filled a predefined questionnaire. This questionnaire was prepared through literature review of the recent well-known guidelines on the needs of IBD patients, which was further approved by the experts of IBD area in three rounds of Delphi consensus. It includes 56 items in four sections of informational needs (25), supportive needs (15), sources of information (7), and methods of obtaining information (9). RESULTS: In particular, EFA was used to apply data reduction and structure detection. Given that this study tries to identify patterns, structures as well as inter-relationships and classification of the variables, EFA was utilized to simplify presentation of the variables in a way that large amounts of observations transform into fewer ones. Accordingly, the EFA identified five factors out of 25 items in the information needs section, three factors out of 15 items in the supportive needs section, two factors out of 7 items in the information sources section, and two factors out of 9 items in the information presentation methods. Through the CFA, all 4 models were supported by Root Mean Squared Error of Approximation (RMSEA); Incremental Fit Index (IFI); Comparative Fit Index (CFI); Tucker-Lewis Index (TLI); and SRMR. These values were within acceptable ranges, indicating that the twelve factors achieved from EFA were validated. CONCLUSIONS: This study introduced a reliable 12-factor model as an efficient tool to comprehensively identify preferences of IBD patients in informational and supportive needs along with sources and methods of obtaining information. An in-depth understanding of the needs of IBD patients facilitates informing and supporting health service provision. It also assists patients in a fundamental way to improve adaptation and increase the quality of life. We suggest that health care providers consider the use of this tool in clinical settings in order to precisely assess its efficacy.

The use of 12-item General Health Questionnaire (GHQ-12) in Ukrainian refugees: translation and validation study of the Ukrainian version.

Following the Russian-Ukrainian conflict, the well-being of millions of Ukrainians has been jeopardised. This study aims to translate and test the psychometric features of the Ukrainian version of the General Health Questionnaire 12 (GHQ-12). The study included Ukrainian refugees housed in Verona (Italy) between November/2022 and February/2023. The Ukrainian translation was obtained through a 'forward-backward' translation. Questionnaire was completed by 141 refugees (females: 78.7%). Median age was 36 years (IQR 23-43). Individuals with a score suggestive of psychological distress were 97 (68.8%). Cronbach's coefficient was 0.84 (0.95CI 0.80-0.88). According to confirmatory factor analysis, both single- (modelB1) and two-factor (model B2) structures with bimodal scoring method fitted the data satisfactorily. The two factors of model B2 had a 0.88 correlation. Pearson coefficient showed a positive significant correlation between the GHQ-12 and International Trauma Questionnaire scores (ρ = 0.53, 0.95CI 0.40-0.64, p < 0.001). The GHQ-12 Ukrainian translation showed good psychometric features being a reliable and valid instrument to assess Ukrainian refugees' general well-being.

The Patient Activation Measure-13 (PAM-13) in an oncology patient population: psychometric properties and dimensionality evaluation.

BACKGROUND: Accurate assessment and enhancement of health-related skills among oncology patients are pivotal for optimizing cancer care. The Patient Activation Measure (PAM-13), a questionnaire designed to reflect an individual's knowledge, skills, and confidence in self-healthcare management, has been validated across diverse countries and settings. Concerns have been raised regarding the cross-situational applicability, as patients with specific diseases and cultural backgrounds interpret questionnaire items differently. This study aimed to examine the structural validity and psychometric properties of the PAM-13 in an oncological patient cohort. METHODS: Baseline data from a longitudinal non-randomized controlled study involving cancer out-patients (n = 1,125) from Comprehensive Cancer Centres in Southern Germany were analysed. The German version of the PAM-13 was employed. With classical test and item response theory methods data quality, reliability, convergent and structural validity, as well as psychometric properties were assessed. Exploratory (EFA) and confirmatory factor analyses (CFA) were employed to investigate the postulated unidimensionality of the underlying construct. With a partial credit model (PCM) we examined item fit, targeting, local independence and differential item functioning. RESULTS: Participants were predominantly female (73.0%) with a breast cancer diagnosis (41.3%). While items were generally well-accepted, ceiling effects were observed and a high mean PAM-13 score (69.7, SD = 14.2) was noted, potentially compromising responsiveness to interventions. Reliability was adequate (Cronbach's α = 0.81), person and item separation reliability were good to excellent (0.81 and 0.99, respectively). Explorations of the unidimensionality of the construct (EFA, CFA, PCM) yielded inconclusive results, hinting towards a two-factor solution. Item difficulty rankings deviated from the original. No differential item functioning was identified, and local independence was confirmed. CONCLUSIONS: While the PAM-13 serves as a valuable instrument for comprehending and promoting health-related skills in cancer patients, the identification of ceiling effects, disordered item-difficulty rankings, and inconclusive findings regarding unidimensionality contribute to the expanding body of evidence, emphasizing the dependency of PAM-13's validity and reliability on distinctive characteristics within the population under investigation. Future research should prioritize refining or adding PAM-13 items to better capture the specific health-related challenges within diverse populations, paving the way for more effective patient engagement strategies in oncology. TRIAL REGISTRATION NUMBER: DRKS00021779.

Response shift in coronary artery disease.

PURPOSE: Patients with coronary artery disease (CAD) experience significant angina symptoms and lifestyle changes. Revascularization procedures can result in better patient-reported outcomes (PROs) than optimal medical therapy (OMT) alone. This study evaluates the impact of response shift (RS) on changes in PROs of patients with CAD across treatment strategies. METHODS: Data were from patients with CAD in the Alberta Provincial Project on Outcome Assessment in Coronary Heart Disease (APPROACH) registry who completed the 16-item Canadian version of the Seattle Angina Questionnaire at 2 weeks and 1 year following a coronary angiogram. Multi-group confirmatory factor analysis (MG-CFA) was used to assess measurement invariance across treatment groups at week 2. Longitudinal MG-CFA was used to test for RS according to receipt of coronary artery bypass grafting (CABG), percutaneous coronary intervention (PCI), or optimal medical therapy (OMT) alone. RESULTS: Of the 3116 patients included in the analysis, 443 (14.2%) received CABG, 2049(65.8%) PCI, and the remainder OMT alone. The MG-CFA revealed a partial-strong invariance across the treatment groups at 2 weeks (CFI = 0.98, RMSEA [90% CI] = 0.05 [0.03, 0.06]). Recalibration RS was detected on the Angina Symptoms and Burden subscale and its magnitude in the OMT, PCI, and CABG groups were 0.32, 0.28, and 0.53, respectively. After adjusting for RS effects, the estimated target changes were largest in the CABG group and negligible in the OMT group. CONCLUSION: Adjusting for RS is recommended in studies that use SAQ-CAN to assess changes in patients with CAD who have received revascularization versus OMT alone.

Estimating anchor-based minimal important change using longitudinal confirmatory factor analysis.

PURPOSE: The minimal important change (MIC) is defined as the smallest within-individual change in a patient-reported outcome measure (PROM) that patients on average perceive as important. We describe a method to estimate this value based on longitudinal confirmatory factor analysis (LCFA). The method is evaluated and compared with a recently published method based on longitudinal item response theory (LIRT) in simulated and real data. We also examined the effect of sample size on bias and precision of the estimate. METHODS: We simulated 108 samples with various characteristics in which the true MIC was simulated as the mean of individual MICs, and estimated MICs based on LCFA and LIRT. Additionally, both MICs were estimated in existing PROMIS Pain Behavior data from 909 patients. In another set of 3888 simulated samples with sample sizes of 125, 250, 500, and 1000, we estimated LCFA-based MICs. RESULTS: The MIC was equally well recovered with the LCFA-method as using the LIRT-method, but the LCFA analyses were more than 50 times faster. In the Pain Behavior data (with higher scores indicating more pain behavior), an LCFA-based MIC for improvement was estimated to be 2.85 points (on a simple sum scale ranging 14-42), whereas the LIRT-based MIC was estimated to be 2.60. The sample size simulations showed that smaller sample sizes decreased the precision of the LCFA-based MIC and increased the risk of model non-convergence. CONCLUSION: The MIC can accurately be estimated using LCFA, but sample sizes need to be preferably greater than 125.

Psychometric properties of the Arabic translation of the Dark Future Scale questionnaire in a non-clinical sample of Arabic-speaking young adults.

BACKGROUND: Through the years, studying negative behaviors of the worldwide population seized the spotlight from many researchers who focused on building scales in order the measure the level of worries, fear and even depression of such stressed individuals. By definition, "Future anxiety" (FA) is fueled by negative thoughts leading to intense fear of unknown future events. The Dark Future scale (DFS) measures the level of anxiety experienced towards the future. Our aim was to examine the psychometric properties of a novel Arabic translation of the DFS. METHODS: A sample of 684 Arabic-speaking young adults (65.6% women) filled the DFS, TEMPS-M (temperaments) and DASS-8 (psychological distress). RESULTS: Confirmatory factor analyses (CFA) supported a unidimensional model of the DFS score, with all 5 items retained. This scale had good reliability. Moreover, concurrent validity demonstrated significant associations between DFS scores and psychological distress, depressive, cyclothymic, irritable and anxious temperament. Scores achieved scalar invariance across gender, with women having greater exposure to anxiety about the future. CONCLUSION: Overall, these findings led to the conclusion that the Arabic DFS is a psychometrically valid tool for the assessment of FA. The DFS is a brief, reliable and easy to apply scale that would help researchers in psychology and psychiatry in assessing anxiety about future.

Factor structure and reliability of the symptom measurement of post-stroke depression in the rehabilitation stage.

BACKGROUND: The incidence of Post Stroke Depression (PSD) in the Rehabilitation Stage is high, which can bring serious physical and psychological disorders to patients. However, there is still a lack of targeted tools for screening PSD in the rehabilitation stage. Therefore, the aim of this study was to evaluate the factor structure and reliability of a measurement instrument to screen for PSD in the rehabilitation stage. METHODS: A cross-sectional study was conducted on 780 hospitalized stroke patients who were within the rehabilitation stage from May to August 2020. Exploratory factor analysis (EFA) as well as first- and second-order confirmatory factor analysis (CFA) were performed to evaluate the factor structure of the newly developed Symptom Measurement of Post-Stroke Depression in the Rehabilitation Stage (SMPSD-RS). The reliability and validity of the SMPSD-RS were also verified using several statistical methods. RESULTS: EFA extracted a 24-item, five-factor (cognition, sleep, behavior, emotion, and obsession) model that can clinically explain the symptoms of PSD during the rehabilitation stage. A first-order CFA confirmed the EFA model with good model fit indices, and the second-order CFA further confirmed the five-factor structure model and showed acceptable model fit indices. Acceptable reliability and validity were also achieved by the corresponding indicators. CONCLUSION: The SMPSD-RS was proven to have a stable factor structure and was confirmed to be reliable and valid for assessing PSD symptoms in stroke patients during the rehabilitation stage.

Factor structure of psychosis screening questionnaire in Ugandan adults.

BACKGROUND: Psychotic disorders are common and contribute significantly to morbidity and mortality of people with psychiatric diseases. Therefore, early screening and detection may facilitate early intervention and reduce adverse outcomes. Screening tools that lay persons can administer are particularly beneficial in low resource settings. However, there is limited research evaluating the validity of psychosis screening instruments in Uganda. We aimed to assess the construct validity and psychometric properties of the Psychosis Screening Questionnaire (PSQ) in Uganda in a population with no history of a psychotic disorder. METHODS: The sample consisted of 2101 Ugandan adults participating as controls in a larger multi-country case-control study on psychiatric genetics who were recruited between February 2018 and March 2020. Participants were individuals seeking outpatient general medical care, caretakers of individuals seeking care, and staff or students recruited from five medical facilities that were age 18 years or older and able to provide consent. Individuals were excluded who had acute levels of alcohol or substance use, including being under inpatient hospitalization or acute medical care for one of these conditions. We used confirmatory factor analysis (CFA) and item response theory (IRT) to evaluate the factor structure and item properties of the PSQ. RESULTS: The overall prevalence screening positive for psychotic symptoms was 13.9% 95% CI (12.4,15.4). "Strange experiences" were the most endorsed symptoms 6.6% 95% CI (5.6,7.8). A unidimensional model seemed to be a good model or well-fitting based on fit indices including the root mean square error of approximation (RMSEA of 0.00), comparative fit index (CFI of 1.000), and Tucker-Lewis Index (TLI of 1.000). The most discriminating items along the latent construct of psychosis were items assessing thought disturbance followed by items assessing paranoia, with a parameter (discrimination) value of 2.53 and 2.40, respectively. CONCLUSION: The PSQ works well in Uganda as an initial screening tool for moderate to high-level of psychotic symptoms.

Psychometric assessment of the Persian adaptation of the attitudes toward seeking professional psychological help scale-short form.

BACKGROUND AND PURPOSE: Mental health disorders are a growing concern worldwide, with a significant impact on public health. Understanding attitudes toward seeking professional psychological help is essential in addressing these issues. In the Iranian context, there is a need for a reliable tool to measure these attitudes. This study aims to assess the validity and reliability of the Persian Adaptation of the Attitudes Toward Seeking Professional Psychological Help Scale-Short Form (ATSPPH-SF). MATERIALS AND METHODS: A cross-sectional study was conducted in May 2023, utilizing a convenience sampling method with 1050 participants aged 10 to 65 years in Iran.The ATSPPH-SF questionnaire, consisting of 10 items and 2 subscales, was employed. The questionnaire underwent translation and cultural adaptation, and its validity was assessed through qualitative face and content validities. Confirmatory factor analysis (CFA) was used to evaluate construct validity. Reliability was assessed using McDonald's omega coefficient and Cronbach's alpha coefficient. Data collection was conducted through an online survey. RESULTS: The CFA results indicated a two-factor structure for the ATSPPH-SF, with one factor representing openness to seeking treatment for emotional problems and the other factor reflecting the value and need for seeking treatment. The model demonstrated acceptable fit indices. Both McDonald's omega coefficient and Cronbach's alpha coefficient suggested good internal consistency for the scale. The mean total score for the ATSPPH-SF was 21.37 (SD = 5.52), indicating the reliability and validity of the scale for the Iranian population. CONCLUSION: This study confirms the suitability of the short-form ATSPPH-SF with 10 items and 2 subscales as a valid and reliable tool for assessing attitudes toward seeking professional psychological help in the Iranian population. With no prior appropriate instrument available, this scale fills a crucial gap. It can be employed to measure attitudes among various demographic groups, aiding in the design of targeted interventions to enhance mental health literacy and reduce the stigma associated with seeking professional psychological help in Iran.

Évaluation de la structure factorielle et des qualités psychométriques de l'Échelle de Fatigue Pandémique parmi la population adulte québécoise: Evaluation of the factorial structure and psychometric qualities of the Pandemic Fatigue Scale among Quebec adult population.

OBJECTIVE: The objective of the study is to evaluate the factorial structure and the psychometric qualities of the Pandemic Fatigue Scale among the Quebec adult population. METHOD: The data analyzed come from a web survey conducted in October 2021 among 10 368 adults residing in Quebec. The scale's factor structure and invariance by gender, age and language used to complete the questionnaire were tested using confirmatory factor analyses. Convergent and divergent validity were also assessed. Finally, the reliability of the scale was estimated from the alpha and omega coefficients. RESULTS: The analyzes suggest the presence of a bidimensional structure in the sample of Quebec adults with informational fatigue and behavioral fatigue. The invariance of the measure is noted for sex, for age subgroups and for the language used for the questionnaire. The results of convergent and divergent validity provide additional evidence for the validity of the scale. Finally, the reliability of the scale scores is excellent. CONCLUSION: The results support the presence of a bidimensional structure as in the initial work of Lilleholt et al. They also confirm that the scale has good psychometric qualities and that it can be used among the adult population of Quebec.

Translation and adaptation of the person-centered maternity care scale to a Persian-speaking population: a confirmatory factor analysis.

BACKGROUND: Recognized as the most exhaustive multidimensional evaluation of women's person-centered experiences during childbirth, the Person-Centered Maternity Care (PCMC) Scale offers domain-specific insights into facets of care. This instrument has yet to be translated into Persian. Hence, this study purposed to translate and ascertain the reliability and validity of a Persian version of the PCMC scale for postpartum women in Iran. METHODS: A cross-sectional study was facilitated at multiple comprehensive health centers within Tehran, Iran, from February 2022 until July 2022. Postpartum women within seven days after childbirth who were referred to selected comprehensive health centers for newborn thyroid screening were conveniently sampled. The validation process for the questionnaire utilized confirmatory factor analysis (CFA), while it gauged convergent validity via factor loads, average variance extracted (AVE), along with composite reliability (CR). Discriminant credibility was evaluated utilizing HTMT alongside the Fornell-Larcker Criteria. Data analysis procedures were conducted through IBM SPSS Statistics for Windows Version 16 and SMART PLS Statistics for Windows Version 4.0.9.9. RESULTS: All the items were within the acceptable range of factor loading, except for questions 3 of the facility and 6 of dignity, which were removed from the model. The AVE values for all the variables were above 0.50, and the CR values were above 0.78, indicating convergent validity. On the horizontal loading table, all of the indicators met the conditions. Additionally, the findings validate that the HTMT indicator associated with all constructs remained below 0.9, which confirms divergent relevance about the survey tool under consideration. The composite reliability values also indicated good overall reliability for all the constructs, ranging from 0.78 to 0.91. CONCLUSIONS: The results of the present study indicate that the Persian version of the PCMC is a reliable and valid tool for measuring person-centered maternity care in Persian-speaking populations.

Assessment of physical literacy in 8- to 12-year-old Pakistani school children: reliability and cross-validation of the Canadian assessment of physical literacy-2 (CAPL-2) in South Punjab, Pakistan.

BACKGROUND: The increasing prevalence of physical inactivity, declining fitness, and rising childhood obesity highlight the importance of physical literacy (PL), as a foundational component for fostering lifelong health and active lifestyle. This recognition necessitates the development of effective tools for PL assessment that are applicable across diverse cultural landscapes. AIM: This study aimed to translate the Canadian Assessment of Physical Literacy-2 (CAPL-2) into Urdu and adapt it for the Pakistani cultural context, to assess PL among children aged 8-12 years in Pakistan. METHOD: The Urdu version of CAPL-2 was administered among 1,360 children aged 8-12 from 87 higher secondary schools across three divisions in South Punjab province, Pakistan. Statistical analysis includes test-retest reliability and construct validity, employing confirmatory factor analysis to evaluate the tool's performance both overall and within specific subdomains. RESULTS: The Urdu version of CAPL-2 demonstrated strong content validity, with a Content Validity Ratio of 0.89. Confirmatory factor analysis supported the four-factor structure proposed by the original developers, evidenced by excellent model fit indices (GFI = 0.984, CFI = 0.979, TLI = 0.969, RMSEA = 0.041). High internal consistency was observed across all domains (α = 0.988 to 0.995), with significant correlations among most, excluding the Knowledge and Understanding domains. Notably, gender and age significantly influenced performance, with boys generally scoring higher than girls, with few exceptions. CONCLUSION: This study marks a significant step in the cross-cultural adaptation of PL assessment tools, successfully validating the CAPL-2 Urdu version for the Pakistani context for the first time. The findings affirm the tool's suitability for assessing PL among Pakistani children, evidencing its validity and reliability across the Pakistani population.

Development and validation of a scale to measure hypertensive Chinese individual's behavior toward salt reduction consumption.

OBJECTIVE: This study aimed to develop and validate the Salt Reduction Behavior Scale (SRBS) to measure the behavior of hypertensive Chinese individuals in adhering to salt reduction practices. METHODS: The SRBS was constructed based on the Health Belief Model, consisting of five constructs: knowledge, perceived severity, perceived benefits, perceived barriers, and cues to action. Data were collected from 2,082 hypertensive patients in Beijing, China, who completed a questionnaire administered through an online platform. Kaiser-Meyer-Olkin (KMO) test was used to assess the adequacy of the sample and the Bartlett's test of sphericity to examine the factorability of the dataset. Confirmatory Factor Analysis (CFA) was used to assess the structural validity and reliability of the SRBS. RESULTS: The KMO analysis yielded a notably elevated value of 0.95, indicating that the data was highly suitable for Exploratory Factor Analysis (EFA). Bartlett's test of sphericity yielded a statistically significant test statistic (P < 0.001). The 32-item SRB questionnaire demonstrated strong internal consistency with a Cronbach's alpha coefficient of 0.923. A second-order Confirmatory Factor Analysis (CFA) revealed that, after removing the unrelated construct of barriers, SRB could be represented by four sub-constructs: knowledge, severity, benefits, and action. The final version of the SRBS consists of 21 items. These items displayed high factor loadings, indicating a strong relationship between the items and their respective sub-constructs. The discriminant validity analysis revealed that the SRBS sub-constructs were distinct from each other. The SRBS scores were positively correlated with self-reported salt reduction practices. This demonstrates that individuals with higher SRBS scores were more likely to engage in actual salt reduction behaviors, indicating concurrent validity. CONCLUSION: The results illustrate that the Salt Reduction Behavior Scale is a robust and comprehensive instrument for assessing salt reduction behavior among hypertensive Chinese individuals. The scale's specific sub-constructs provide a detailed understanding of their knowledge, attitudes, and practices related to salt consumption. Healthcare professionals and policymakers can utilize this tool to tailor interventions and educational programs to encourage healthier dietary habits, thereby reducing the risk of cardiovascular diseases in China.

Different self-damaging behaviours, similar motives? Testing measurement invariance of motives for nonsuicidal self-injury, disordered eating and substance misuse.

OBJECTIVES: Theory and research suggest that distinct self-damaging behaviours (SDBs; e.g., nonsuicidal self-injury [NSSI], restrictive eating, binge eating, drug misuse, alcohol misuse) share similar motives. However, few studies have used a common self-report inventory to investigate the shared relevance and relative salience of motives for SDBs. Accordingly, the present study: (1) examined whether self-report scales assessing intrapersonal motives (i.e., relieving negative emotions, enhancing positive emotions, punishing oneself) and interpersonal motives (i.e., bonding with others, conforming with others, communicating distress, communicating strength, reducing demands) have invariant factor structures across SDBs; and (2) compared the salience of these motives across SDBs. METHODS: 1018 adults (54.6% men, Mage = 35.41 years) with a history of SDBs were allocated to the following groups: NSSI (n = 213), restrictive eating (n = 200), binge eating (n = 200), drug misuse (n = 200) or alcohol misuse (n = 205). Participants reported on their motives for engaging in their allocated SDB. Measurement invariance analyses compared the factor structures and latent means of the motive scales across SDBs. RESULTS: The motive scales had comparable factor structures across SDBs. Intrapersonal motives were most strongly endorsed for NSSI and drug misuse. Interpersonal motives were most strongly endorsed for drug and alcohol misuse. All motives were least salient to restrictive eating. CONCLUSIONS: Results suggest that common motives underlie distinct SDBs and that they can be adequately assessed using a single self-report inventory. However, certain motives are more relevant to some SDBs than others, with restrictive eating being the most motivationally distinct SDB. This knowledge can inform transdiagnostic models and interventions for SDBs.

Factorial invariance of the Wechsler Intelligence Scale for Children, Fifth Edition, across the UK, US and Australia & New Zealand.

OBJECTIVES: This study examined the factorial invariance of the factor structure of the Wechsler Intelligence Scale for Children, Fifth Edition (WISC-V) across the UK, US and Australia & New Zealand (A&NZ). The factorial equivalence of cognitive assessments should be demonstrated before assuming cross-culture generalizability and interpretations of score comparisons. METHODS: Data were obtained from the UK, US and A&NZ normative standardizations of the WISC-V. The samples consisted of 415 UK, 2200 US and 528 A&NZ children, aged 6-16. Confirmatory factor analysis was applied separately in each sample to establish the baseline model. Next, tests of factorial invariance were undertaken using the recommended hierarchical approach, firstly across the UK and A&NZ samples and then across the UK and US samples. RESULTS: The five-factor first-order scoring model was found to be excellent fit across all three samples independently. Strict factorial invariance of the WISC-V was demonstrated firstly across the UK and A&NZ and secondly the UK and US nationally representative standardization samples. Comparison of latent means found small but significant differences in female children across the UK and A&NZ samples. CONCLUSIONS: Consistent with previous research, these results demonstrate the generality of the WISC-V factor structure across the UK, US and A&NZ. Furthermore, as the WISC-V factor structure aligns with the Cattell-Horn-Carroll (CHC) model of cognitive abilities, the results add further support to the cross-cultural generalizability of the CHC model. Small but significant differences in latent factor scores found across samples support the development and use of local normative data.

Derailment in adolescence: Factor analytic structure and correlates.

Derailment is the sense of being "off-course" in life. But what could this mean for adolescents, who are often establishing identity and self-direction for the first time? We examined the structure and correlates of the Derailment Scale and its short form, the Derailment Scale-6 (DS-6), among middle-to-late adolescents (N = 452). Both scales exhibited unidimensionality, but the DS-6 demonstrated superior fit and correlated with cross-sectional distress markers (e.g., greater depression, lower life satisfaction, strained sense of purpose). Breaking from adult-based research, we failed to find evidence that derailment related to adolescent identity exploration and commitment. In extending assessment of derailment to adolescence, this study invites exploration of this experience during a time characterized by substantial transition and the emergence of stable self-views.

Subjective Stress Appraisals Over Time: the Evolving Structure of the COVID-19 Stressor Scale.

The COVID-19 Stressors Scale measures individuals' appraisals of stressors related to the pandemic. Measurement of perceptions of stressors is necessary to understand the socioemotional impacts of not only the COVID-19 pandemic, but other disasters. The study examined the factor structure of the scale among adults in the U.S. over six time points. A shortened version was used, and the fit was examined over time. The results of the study show contextual appraisals change over time and offer important implications for the measurement of stressfulness of disasters, a critical step in designing and assessing impacts of social programs aimed to reduce the deleterious effects of disasters.

Medical students' AI literacy and attitudes towards AI: a cross-sectional two-center study using pre-validated assessment instruments.

BACKGROUND: Artificial intelligence (AI) is becoming increasingly important in healthcare. It is therefore crucial that today's medical students have certain basic AI skills that enable them to use AI applications successfully. These basic skills are often referred to as "AI literacy". Previous research projects that aimed to investigate medical students' AI literacy and attitudes towards AI have not used reliable and validated assessment instruments. METHODS: We used two validated self-assessment scales to measure AI literacy (31 Likert-type items) and attitudes towards AI (5 Likert-type items) at two German medical schools. The scales were distributed to the medical students through an online questionnaire. The final sample consisted of a total of 377 medical students. We conducted a confirmatory factor analysis and calculated the internal consistency of the scales to check whether the scales were sufficiently reliable to be used in our sample. In addition, we calculated t-tests to determine group differences and Pearson's and Kendall's correlation coefficients to examine associations between individual variables. RESULTS: The model fit and internal consistency of the scales were satisfactory. Within the concept of AI literacy, we found that medical students at both medical schools rated their technical understanding of AI significantly lower (MMS1 = 2.85 and MMS2 = 2.50) than their ability to critically appraise (MMS1 = 4.99 and MMS2 = 4.83) or practically use AI (MMS1 = 4.52 and MMS2 = 4.32), which reveals a discrepancy of skills. In addition, female medical students rated their overall AI literacy significantly lower than male medical students, t(217.96) = -3.65, p <.001. Students in both samples seemed to be more accepting of AI than fearful of the technology, t(745.42) = 11.72, p <.001. Furthermore, we discovered a strong positive correlation between AI literacy and positive attitudes towards AI and a weak negative correlation between AI literacy and negative attitudes. Finally, we found that prior AI education and interest in AI is positively correlated with medical students' AI literacy. CONCLUSIONS: Courses to increase the AI literacy of medical students should focus more on technical aspects. There also appears to be a correlation between AI literacy and attitudes towards AI, which should be considered when planning AI courses.

Psychometric validation of the Montgomery-åsberg Depression Rating Scale - Youth (MADRS-Y) in a clinical sample.

BACKGROUND: Depression in adolescence is a serious major global health problem with increasing rates of prevalence. Measures of depression that are valid for young people are clearly needed in clinical contexts. METHODS: The study included 577 patients from child and adolescent psychiatry (n = 471) and primary care (n = 106) aged 12-22 years in Sweden (Mage=16.7 years; 76% female). The reliability and validity for Montgomery-Åsberg Depression Rating Scale - Youth (MADRS-Y) were investigated. To confirm the latent structure, we used a single-factor confirmatory factor analysis (CFA). A Kruskal-Wallis test was performed to test total score differences between diagnostic groups. Using Spearman's rho correlations, we examine whether single items in the MADRS-Y correlate with suicidal ideation measured by The Suicidal Ideation Questionnaire-JR (SIQ-JR). RESULTS: The internal consistency using McDonald's coefficient omega was excellent. The CFA of the 12-item MADRS-Y supported a one factor structure. Evidence of convergent and discriminant validity was shown. There was a significant difference in MADRS-Y scores across diagnostic groups, with higher results for depressive disorders. A strong correlation with suicidal ideation was found for two items. CONCLUSIONS: The results support MADRS-Y as a brief, reliable, and valid self-report questionnaire of depressive symptoms for young patients in a clinical setting.

Cultural landscapes in climate change: A framework for resilience in developing countries.

Cultural landscapes, particularly cities with rich historical and cultural heritage, play a crucial role in bolstering the resilience of local communities. The occurrence of climate change-induced phenomena jeopardizes cultural landscapes, resulting in the deterioration of historical structures, natural landscapes, cultural heritage, the economy, and the livelihoods of residents in these areas. Therefore, adopting a resilient approach is essential for the integrated management of cultural landscapes. This study develops a model for enhancing cultural landscape resilience to climate change in Nishapur, a historical and cultural city in Iran. Through desk studies, factors affecting the resilience of cultural landscapes to climate change were extracted in the context of developing countries. Subsequently, a model was developed based on the frequency of the occurrence of dimensions and indicators. Snowball sampling was used to distribute questionnaires to 310 members of the academic and professional communities in the field. Next, confirmatory factor analysis (CFA) was conducted using IBM SEM-AMOS to analyze the data and measure the reliability and validity of the model. The findings indicate that the driving factors of change, such as changes in livelihood and social issues, historical fabric and physical environment, natural hazards, biodiversity patterns, and management patterns, can significantly affect the resilience of cultural landscapes to climate change. The developed model can contribute to policymaking in various fields, including urban design and planning, economics, sociology, and cultural heritage conservation. This can play a vital role in creating cultural landscapes that are resilient to the increasing impacts of climate change.