Loyola Generativity Scale e Generative Behavior Checklist: Um estudo psicométrico com idosos espanhóis LGBT+ / Loyola Generativity Scale and Generative Behavior Checklist: A Psychometric Study with Spanish LGBT+ Older Adults / Loyola Generativity Scale y Generative Behavior Checklist: Un estudio psicométrico con personas mayores españolas LGBT+

Resumo Enquadramento: A generatividade tem sido associada à resiliência e à satisfação com a vida na velhice, incluindo entre a população lésbica, gay, bissexual e transgénero (LGBT+) mais velha. Objetivo: Analisar as propriedades psicométricas da Loyola Generativity Scale (LGS) e da Generative Behavior Checklist (GBC) para idosos espanhóis LGBT + (com mais de 50 anos). Metodologia: Foi realizado um estudo psicométrico com 141 idosos espanhóis LGBT+ com o objetivo de examinar a validade de construto (análise fatorial exploratória), a validade convergente e a fiabilidade (consistência interna) da LGS e da GBC. Resultados: Os métodos de análise paralela e a análise fatorial exploratória sugeriram um modelo de dois fatores para ambos os instrumentos com boa adequação da amostra. A LGS explicou 45,1% da variância e apresentou uma consistência interna de 0,78. O GBC explicou 41,76% da variância e apresentou uma consistência interna de 0,879. Foi encontrada uma correlação positiva e estatisticamente significativa entre a satisfação com a vida e as escalas generativas. Foi também observada uma correlação positiva e significativa (rs = 0,310) entre os dois instrumentos. Conclusão: Ambos os instrumentos demonstraram ser válidos e fiáveis para medir a generatividade em idosos espanhóis LGBT+.

Abstract Background: Generativity has been associated with resilience and life satisfaction in older age, including among lesbian, gay, bisexual, and transgender (LGBT+) older adults. Objective: To examine the psychometric properties of the Loyola Generativity Scale (LGS) and Generative Behavior Checklist (GBC) for Spanish LGBT+ older adults (over the age of 50). Methodology: A psychometric study was conducted with 141 Spanish LGBT+ older adults to examine the construct validity (exploratory factor analysis), convergent validity, and reliability (internal consistency) of the LGS and the GBC. Results: Parallel and exploratory factor analyses suggested a two-factor model with good sample adequacy for both scales. The LGS explained 45.1% of the variance and had an internal consistency of 0.78. The GBC explained 41.76 % of the variance and had an internal consistency of 0.879. A positive and statistically significant correlation was found between life satisfaction and the generative scales. A positive and significant correlation (rs = 0.310) was also observed between both instruments. Conclusion: Both instruments proved valid and reliable for measuring generativity in Spanish LGBT+ older adults.

Resumen Marco contextual: La generatividad se asocia con la resiliencia y la satisfacción con la vida en la vejez, incluidas las de las personas adultas lesbianas, gays, bisexuales y transexuales (LGBT+). Objetivo: Examinar las propiedades psicométricas de la Loyola Generativity Scale (LGS) y la Generative Behavior Checklist (GBC) en adultos mayores LGBT+ españoles (mayores de 50 años). Metodología: Estudio psicométrico con 141 adultos mayores LGBT+. Se analizó la validez de constructo (análisis factorial exploratorio), la validez convergente y la consistencia interna de cada escala. Resultado: Los análisis factoriales paralelos y exploratorios sugieren un modelo bifactorial para ambas escalas con una buena adecuación a la muestra. La LGS explica el 45,1% de la varianza y tiene una consistencia interna de 0,78. La GBC explica el 41,76% de la varianza y tiene una consistencia interna de 0,879. Se encontró una correlación positiva estadísticamente significativa entre la satisfacción con la vida y las escalas de generatividad. Las dos escalas mostraron una correlación positiva y significativa (rs = 0,310). Conclusión: Ambas escalas han demostrado ser válidas y fiables para medir la generatividad en adultos mayores LGBT+ españoles.

Hospitalizaciones evitables por problemas de salud sensibles a cuidados ambulatorios: construcción y validación de la lista Uruguaya de patologías

Introducción: Las hospitalizaciones por Ambulatory Care Sensitive Conditions es un indicador que mide la utilización de los servicios hospitalarios por problemas de salud que podrían haber sido prevenidos en el primer nivel de atención. El concepto se refiere a los procesos en que la atención ambulatoria efectiva puede ayudar a disminuir los riesgos de hospitalización, en un segundo nivel de atención. El objetivo del estudio fue construir y validar una lista uruguaya de problemas de salud sensibles a cuidados ambulatorios (PSSCA) según CIE-10. Metodología: Para la construcción de la lista inicial de códigos de PSSCA se realizó una revisión de los listados existentes y se propuso un listado inicial que fue validado a través del Método Delphi. Se propone un listado de 99 códigos diagnósticos de PSSCA adaptado a nuestro entono sanitario. Los mismos permiten identificar y cuantificar problemas de salud que pueden producir hospitalizaciones potenciamente evitables mediante cuidados ambulatorios accesibes y oportunos en el primer nivel de atención. Resultados: Se conformó un panel de 12 expertos. A partir de los datos obtenidos, considerando los 99 diagnósticos clasificados por CIE-10, éstos se pueden subclasificar en función de si la patología es infecciosa o no, obteniendo un resultado general de 62 patologías en un total de 99 que pueden ser clasificadas como infecciosas, lo que se corresponde a un 62 %. Discusión: De la comparación de la lista uruguaya de PSSCA a la que hemos arribado y las listas validadas utilizadas para la construcción inicial del listado de patologías propuesto, podemos decir que la primera presenta un mayor porcentaje de coincidencia con la lista de patologías de Bello Horizonte. Podemos mencionar que la mayoría de los problemas de salud identificados con base en el listado de PSSCA, son sensibles de ser resueltos con la atención primaria oportuna y de calidad que podría evitar o disminuir de una manera significativa su hospitalización. Conclusiones: Este trabajo describe el proceso de construcción y validación de una lista de códigos de PSSCA adaptados al contexto uruguayo a través del método Delphi. Hemos arribado a un listado que comprende un total de 99 diagnósticos, agrupadas en un total de diecinueve categorías que considera la especificidad del contexto uruguayo del indicador.

Introduction: Hospitalizations for Ambulatory Care Sensitive Conditions is an indicator that measures the use of hospital services for health problems that could have been prevented at the first level of care. The concept refers to the processes in which effective outpatient care can help reduce the risks of hospitalization, at a second level of care. The objective of the study was to build and validate a Uruguayan list of health problems sensitive to outpatient care (PSS-CA) according to ICD-10. Methodology: To construct the initial list of PSSCA codes, a review of the existing lists was carried out and an initial list was proposed that was validated through the Delphi Method. A list of 99 PSSCA diagnostic codes adapted to our healthcare environment is proposed. They make it possible to identify and quantify health problems that can lead to potentially avoidable hospitalizations through accessible and timely outpatient care at the first level of care. Results: A panel of 12 experts was formed. From the data obtained, considering the 99 diagnoses classified by ICD-10, these can be subclassified depending on whether the pathology is infectious or not, obtaining a general result of 62 pathologies in a total of 99 that can be classified as infectious, which corresponds to 62%. Discussion: From the comparison of the Uruguayan list of PSSCA that we have arrived at and the validated lists used for the initial construction of the proposed list of pathologies, we can say that the first presents a higher percentage of coincidence with the list of pathologies of Bello Horizonte . We can mention that most of the health problems identified based on the PSSCA list are sensitive to being resolved with timely and quality primary care that could prevent or significantly reduce hospitalization. Conclusions: This work describes the process of construction and validation of a list of PSSCA codes adapted to the Uruguayan context through the Delphi method. We have arrived at a list that includes a total of 99 diagnoses, grouped into a total of nineteen categories that consider the specificity of the Uruguayan context of the indicator.

Introdução: As Internações por Condições Sensíveis à Atenção Ambulatorial são um indicador que mede a utilização de serviços hospitalares para problemas de saúde que poderiam ter sido evitados no primeiro nível de atenção. O conceito refere-se aos processos em que um atendimento ambulatorial eficaz pode auxiliar na redução dos riscos de internação, em um segundo nível de atenção. O objetivo do estudo foi construir e validar uma lista uruguaia de problemas de saúde sensíveis à atenção ambulatorial (PSS-CA) segundo a CID-10. Metodologia: Para construir a lista inicial de códigos PSSCA foi realizada uma revisão das listas existentes e foi proposta uma lista inicial que foi validada através do Método Delphi. É proposta uma lista de 99 códigos de diagnóstico PSSCA adaptados ao nosso ambiente de saúde. Permitem identificar e quantificar problemas de saúde que podem levar a hospitalizações potencialmente evitáveis ​​através de cuidados ambulatórios acessíveis e oportunos no primeiro nível de cuidados. Resultados: Foi formado um painel de 12 especialistas. A partir dos dados obtidos, considerando os 99 diagnósticos classificados pela CID-10, estes podem ser subclassificados consoante a patologia seja infecciosa ou não, obtendo-se um resultado geral de 62 patologias num total de 99 que podem ser classificadas como infecciosas, o que corresponde para 62%. Discussão: A partir da comparação da lista uruguaia de PSSCA a que chegamos e das listas validadas utilizadas para a construção inicial da lista de patologias proposta, podemos dizer que a primeira apresenta um maior percentual de coincidência com a lista de patologias de Belo Horizonte. Podemos mencionar que a maioria dos problemas de saúde identificados com base na lista PSSCA são sensíveis para serem resolvidos com cuidados primários oportunos e de qualidade que possam prevenir ou reduzir significativamente a hospitalização. Conclusões: Este trabalho descreve o processo de construção e validação de uma lista de códigos PSSCA adaptados ao contexto uruguaio através do método Delphi. Chegamos a uma lista que inclui um total de 99 diagnósticos, agrupados em um total de dezenove categorias que consideram a especificidade do contexto uruguaio do indicador.

Psychometric properties of the Spanish version of the Chalder Fatigue Scale in clinical and general populations / Propiedades psicométricas de la versión española de la Escala de Fatiga de Chalder en población clínica y general

Objetivo: La Escala de Fatiga de Chalder (CFS) es una escala breve para evaluar fatiga que se utiliza en España, pero que no ha sido validada en su población. El objetivo del estudio fue adaptar y evaluar las propiedades psicométricas de la versión española de la CFS (Sp-CFS). Método: La muestra la conformaron 3,671 participantes (3.190 de la población general y 481 pacientes), con edades entre 18 y 86 años (M = 28.43; DT = 12.71), siendo el 67.6% mujeres. Las propiedades psicométricas de la escala se probaron en un diseño transversal utilizando validación cruzada (análisis factorial exploratorio y confirmatorio) y estimación de la invarianza (sexo y condición clínica). Resultados: Un modelo de cuatro factores (baja energía, problemas de sueño, problemas de concentración y disfunción cognitiva subjetiva) en lugar de un modelo original de dos factores (fatiga física y mental) proporcionó mejores índices de bondad de ajuste a los datos. La consistencia interna y la estabilidad de la escala fueron excelentes. Su validez convergente se apoyó en su asociación significativa con la ansiedad, la depresión, el estrés y los síntomas positivos y negativos del espectro de la psicosis. El instrumento no mostró diferencias significativas entre sexos ni condiciones clínicas, y discriminó entre la población general y los pacientes, obteniendo estos últimos puntajes significativamente mayores. Conclusiones: Sp-CFS es una escala fiable y válida para medir la fatiga en población general y clínica española.(AU)

Objective:The Chalder Fatigue Scale (CFS) is a brief self-report screening scale for fatigue that is used in Spain but has not been validated for the Spanish population. The aim of this study was to adapt and evalu-ate the psychometric properties of the Spanish version of the CFS (Sp-CFS). Method:The sample consisted of 3,671 participants (3,190 from the general population and 481 patients), aged 18 to 86 years (M=28.43; DT=12.71), 67.6% of whom were women. Psychometric properties of the scale were tested in a cross-sectional design using cross-validation (explora-tory and confirmatory factor analysis) and estimation of invariance (sex and clinical condition). Results:A four-factor model (low energy, sleep problems, concentration problems and subjective cognitive dysfunction) rather than an original two-factor model (physical and mental fatigue) pro-vided better indices of goodness of fit to the data. The internal consistencyand stability of the scale were excellent. Its convergent validity was sup-ported by its significant association with anxiety, depression, stress, and the positive and negative symptoms of the psychosis spectrum. The instru-ment did not show significant differences between sexes or clinical condi-tions, and it discriminated between the general population and the patients, with the latter obtaining significantly greater scores. Conclusions: Sp-CFS is a reliable and valid scale for measuring a transdiagnostic construct such as fatigue in Spanish general and clinical populations.(AU)

Validation and structural exploration of the Chinese version of the Body Talk Scale.

The Body Talk Scale (BTS) measures both negative body talk (including fat talk and muscle talk) and positive body talk across genders. In this study, we translated it into Chinese and assessed its structure, reliability and validity among mainland Chinese residents. Item analyses indicated that no item deletion was necessary for this study, and both exploratory factor analysis (n = 1853) and exploratory graph analysis (n = 1583) supported the three-factor structure of the original scale. Confirmatory factor analysis showed that the scale had a good model fit with CFI= 0.95, GFI= 0.93, TLI= 0.94, and RMSEA= 0.079(90 %CI [0.075, 0.084]). The results also showed that the Chinese version of the BTS had adequate criterion-related validity，internal consistency and six-week test-retest reliability. Meanwhile, the scale has good measurement invariance with respect to gender and can be tested for gender differences. In conclusion, the BTS showed sufficient psychometric properties in a Chinese sample, making it a valid instrument for studying body talk and health status in Chinese populations.

Mode conversion of fundamental guided ultrasonic wave modes at part-thickness crack-like defects.

Guided ultrasonic waves can be employed for efficient structural health monitoring (SHM) and non-destructive evaluation (NDE), as they can propagate long distances along thin structures. The scattering (S0 mode) and mode conversion of low frequency guided waves (S0 to A0 and SH0 wave modes) at part-thickness crack-like defects was studied to quantify the defect detection sensitivity. Three-dimensional (3D) Finite Element (FE) modelling was used to predict the mode conversion and scattering of the fundamental guided wave modes. Experimentally, the S0 mode was excited by a piezoelectric (PZT) transducer in an aluminum plate. A laser vibrometer was used to measure the out-of-plane displacement to characterize the mode-converted A0 mode, employing baseline subtraction to achieve mode and pulse separation. Good agreement between FE model predictions and experimental results was obtained for perpendicular incidence of the S0 mode. The influence of defect depth and length on the scattering and mode conversion was studied and the sensitivity for part-thickness defects was quantified. The maximum mode conversion (S0-A0 mode) occurred for ¾ defect depth and the amplitude of the mode-converted A0 and scattered S0 modes mostly increased linearly as the defect length increased with an almost constant A0/S0 mode scattered amplitude ratio. Similar forward and backward scattering amplitude was found for the mode converted A0 mode. The mode conversion of the S0 to SH0 mode has the highest sensitivity for short defects, but the SH0 mode amplitude only increased slightly for longer defects. Employing the information contained in the mode-converted, scattered guided ultrasonic wave modes could improve the detection sensitivity and localization accuracy of SHM algorithms.

Core items selection and psychometric properties of the adult attention-deficit hyperactivity disorder self-report scale-chinese short version (ASRS-CSV).

OBJECTIVE: This study aimed to develop and validate the Chinese Short Version of the Adult ADHD Self-Report Scale (ASRS-CSV), addressing the need for culturally appropriate diagnostic tools for Attention-Deficit Hyperactivity Disorder (ADHD) in the Chinese adult population. METHODS: Utilizing a combination of intergroup difference analysis, factor analysis, and network analysis, we identified core ADHD symptoms pertinent to the Chinese cultural context. The study involved two samples: a vocational and technical school sample (N=1144) and an internet sample (N=1654), comprising adults aged 16-25 years. Reliability, validity, and diagnostic efficacy of the ASRS-CSV were assessed through psychometric testing. RESULTS: The ASRS-CSV demonstrated high internal consistency (Cronbach's alpha > 0.9) and robust convergent validity (AVE > 0.7). The scale's diagnostic cutoff points were optimized, revealing high sensitivity and specificity for ADHD screening. Cross-cultural analysis highlighted differences in core ADHD symptoms between Chinese and Western populations, underscoring the scale's cultural sensitivity. CONCLUSION: The ASRS-CSV is a reliable, valid, and efficient tool for screening ADHD in Chinese adults, reflecting the socio-cultural nuances of ADHD symptomatology. Its development marks a significant advancement in the field of psychiatry, offering a tailored approach for ADHD assessment in China and contributing to the global discourse on cross-cultural psychiatric diagnosis.

Validation of an abbreviated Big Five personality inventory at large population scale: Psychometric structure and associations with common psychiatric and neurological disorders.

BACKGROUND: The five-factor model of personality, as quantified using instruments such as the Big Five Inventory, consists of broad personality domains including Extraversion, Agreeableness, Conscientiousness, Neuroticism (emotional instability), and Openness. Such instruments typically include >40 items. However, instruments with many items can be unwieldly and a cause of measurement error in clinical and cohort studies where multiple scales are sequenced. Conversely, established 5- and 10-item versions of the Big Five Inventory have poor reliability. Here, we developed and validated an abbreviated 18-item Big Five Inventory that balances efficiency, reliability and sensitivity. METHOD: We analysed three datasets (N = 59,797, N = 21,177, and N = 87,983) from individuals who participated in the online Great British Intelligence Test (GBIT) study, a collaborative citizen science project with BBC2 Horizon. We applied factor analyses (FA), predictive normative modelling, and one-sample t-tests to validate the 18-item version of the Big Five and to investigate its associations with psychiatric and neurological conditions. RESULTS: The 18-item version of the Big Five Inventory had higher validity and retest reliability compared to the other previously shortened versions in the literature, with comparable demographic associations to the full Big Five Inventory. It exhibited strong (i.e. large effect size) associations with psychiatric conditions, and moderate (small-medium) associations with neurological conditions. Neuroticism (emotional instability) was substantially higher in all psychiatric conditions, whereas Conscientiousness, Openness and Extraversion showed differential associations across conditions. CONCLUSION: The newly validated 18-item version of the Big Five provides a convenient means of measuring personality traits that is suitable for deployment in a range of studies. It retains psychometric structure, retest reliability and clinical-group sensitivity, as compared to the full original scale.

Validation of self-reported morbidities of the Korean Atomic Bomb Survivor Cohort.

Objectives: This study aimed to evaluate the agreement of disease status collected through a survey of the Korean Atomic Bomb Survivor Cohort (K-ABC), compared with medical claim records from the Korean National Health Insurance Service (NHIS) database and the Korean Central Cancer Registry (KCCR). Methods: Data on the lifetime physician-diagnosed morbidities of 1,215 K-ABC participants were collected through an interviewer-administered questionnaire between 2020 and 2022. Survey data were linked to the NHIS and KCCR databases. Eleven diseases were included for validation. We evaluated the following indicators: sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), accuracy, the area under the curve (AUC), and the kappa coefficient. Results: The mean (standard deviation) age was 62.1 (18.7) years, and 42.6% of the participants were aged ≥70 years. Hypertension and cataracts showed the highest prevalence rates (33.8% and 28.8%, respectively). Hypertension, diabetes, and cancer demonstrated high sensitivity (>0.8) and specificity (>0.9), whereas diabetes, cancer, myocardial infarction, angina pectoris, and asthma exhibited high accuracy (>0.9). In contrast, arthritis, allergic rhinitis, and asthma showed low sensitivity (<0.4) and kappa values (<0.3). In the participants aged ≥70 years, the kappa value was ≥0.4 for all diseases except arthritis, allergic rhinitis, and asthma. Conclusion: The results from this initial analysis showed relatively high agreement between the survey and NHIS/KCCR databases, especially for hypertension, diabetes, and cancer. Our findings suggest that the information on morbidities collected through the questionnaires in this cohort was valid for both younger and older individuals.

A Computed Tomography-Based Fracture Prediction Model With Images of Vertebral Bones and Muscles by Employing Deep Learning: Development and Validation Study.

BACKGROUND: With the progressive increase in aging populations, the use of opportunistic computed tomography (CT) scanning is increasing, which could be a valuable method for acquiring information on both muscles and bones of aging populations. OBJECTIVE: The aim of this study was to develop and externally validate opportunistic CT-based fracture prediction models by using images of vertebral bones and paravertebral muscles. METHODS: The models were developed based on a retrospective longitudinal cohort study of 1214 patients with abdominal CT images between 2010 and 2019. The models were externally validated in 495 patients. The primary outcome of this study was defined as the predictive accuracy for identifying vertebral fracture events within a 5-year follow-up. The image models were developed using an attention convolutional neural network-recurrent neural network model from images of the vertebral bone and paravertebral muscles. RESULTS: The mean ages of the patients in the development and validation sets were 73 years and 68 years, and 69.1% (839/1214) and 78.8% (390/495) of them were females, respectively. The areas under the receiver operator curve (AUROCs) for predicting vertebral fractures were superior in images of the vertebral bone and paravertebral muscles than those in the bone-only images in the external validation cohort (0.827, 95% CI 0.821-0.833 vs 0.815, 95% CI 0.806-0.824, respectively; P<.001). The AUROCs of these image models were higher than those of the fracture risk assessment models (0.810 for major osteoporotic risk, 0.780 for hip fracture risk). For the clinical model using age, sex, BMI, use of steroids, smoking, possible secondary osteoporosis, type 2 diabetes mellitus, HIV, hepatitis C, and renal failure, the AUROC value in the external validation cohort was 0.749 (95% CI 0.736-0.762), which was lower than that of the image model using vertebral bones and muscles (P<.001). CONCLUSIONS: The model using the images of the vertebral bone and paravertebral muscle showed better performance than that using the images of the bone-only or clinical variables. Opportunistic CT screening may contribute to identifying patients with a high fracture risk in the future.

Mitigating target interference challenges in bridging immunogenicity assay to detect anti-tocilizumab antibodies.

Aim: An assay to detect anti-tocilizumab antibodies in the presence of high levels of circulating target and drug is needed for immunogenicity assessment in comparative clinical studies. Methods: An assay was developed and validated using a combination of blocking agents and dilutions to overcome target interference challenges. Results: No false-positive signal was detected in serum samples spiked with 350-500 ng/ml of IL-6 receptor. As low as 50 ng/ml of positive control antibodies could be detected in the presence of either 500 ng/ml of IL-6 or 250 µg/ml of the drug product. Assay also demonstrated high sensitivity, selectivity and precision. Conclusion: A robust, easy to perform immunogenicity assay was developed and validated for detecting anti-tocilizumab antibodies.

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Census-Dependent Mortality of Ventilated Patients With COVID-19 in Israel: Noninterventional Observational Cohort Study.

BACKGROUND: The COVID-19 pandemic led to several surges in the mass hospitalization rate. Extreme increases in hospital admissions without adequate medical resources may increase mortality. No study has addressed the impact of daily census of ventilated patients on mortality in the context of the pandemic in a nationwide setting. OBJECTIVE: This study aimed to determine whether daily census of ventilated patients affected COVID-19 mortality rates nationwide in Israel. METHODS: We conducted a cohort study using nationwide, public-domain, population-based COVID-19 data of hospitalized patients from an Israeli database from March 11, 2020, until February 11, 2021. We included all COVID-19 hospital admissions, classified as mild to severe per the Centers for Diseases Control and Prevention classification irrespective of whether they were mechanically ventilated. Outcome measures were daily death rates and death rates expressed as a percentage of ventilated patients. RESULTS: During the study period (338 days from March 11, 2020, to February 11, 2021), 715,743 patients contracted and were clinically confirmed as having COVID-19. Among them, 5577 (0.78%) patients died. In total, 3398 patients were ventilated because of severe COVID-19. Daily mortality correlated with daily census of ventilated patients (R2=0.828, P<.001). The daily percent mortality of ventilated patients also correlated with the daily census of ventilated patients (R2=0.365, P<.001)-backward multiple regression analysis demonstrated that this positive correlation was still highly significant even when correcting for the average age or gender of ventilated patients (R2=0.4328, P<.001) or for the surge in their number. Overall, 40% of the variation in mortality was explained by variations in the daily census of ventilated patients. ANOVA revealed that at less than 50 ventilated patients per day, the daily mortality of ventilated patients was slightly above 5%, and it nearly doubled (10%) with 50-149 patients; moreover, in all categories of ≥200 patients ventilated per day, it more than tripled at ≥15% (P<.001). CONCLUSIONS: Daily mortality rates per ventilated patient increased with an increase in the number of ventilated patients, suggesting the saturation of medical resources. Policy makers should be aware that expanding medical services without adequate resources may increase mortality. Governments should perform similar analyses to provide indicators of system saturation, although further validation of these results might be needed to use this indicator to drive public policy.

Psychometric Properties of the FRAIL Scale for Frailty Screening: A Scoping Review.

OBJECTIVES: The aim of this study was to identify and map the available psychometric evidence of the FRAIL scale to screen frailty among older adults. DESIGN: Scoping review of published articles on 9 databases (PubMed, Scopus, Web of Science, CINAHL, Cochrane, Embase, PsycINFO, VHL Regional Portal, and Epistemonikos) and 8 gray literature sources. SETTING AND PARTICIPANTS: Studies in adults or older adults, in both inpatient and outpatient settings (without context restrictions). METHODS: Cross-cultural adaptations, validity and reliability evidence studies, whose main objective was to develop and/or validate and/or culturally adapt the FRAIL Scale to assess frailty in adults or older adults, published since 2007 were included in this scoping review. The databases were searched between February and March 2023.The JBI methodology for scoping reviews was used to guide the process. The protocol of this study was registered on the Open Science Framework platform. RESULTS: Of the 1031 records found during the search, 40 articles that met the established criteria for analysis were included. Nearly 1 in 10 countries worldwide (11.9%) have psychometric evidence regarding this scale. Ten studies were identified with the goal of cross-cultural adaptation and/or validation in a different cultural context for the first time. Twenty-one of 40 studies used Morley 2012 operationalization of FRAIL Scale criteria. Thirty-nine studies provided evidence of associations with other variables. The rest of the evidence for content, internal structure, response processes, and reliability was only evaluated in cross-cultural adaptation studies, with limitations. CONCLUSIONS AND IMPLICATIONS: In conclusion, there is some evidence of validity for FRAIL Scale; nevertheless, studies are needed to adapt the scale to new cultures, using rigorous Cross-Cultural Adaptation processes, and to provide new evidence of validity and reliability, to strengthen and consolidate the body of knowledge for its application to various patient groups and context.

Psychometric properties of the arabic version of PHEEM applied on a sample of medical residents in Syria.

BACKGROUND: The clinical learning environment (CLE) plays a crucial role in shaping the learning experiences and professional development of medical professionals. Understanding and optimising this environment is essential for improving doctors' knowledge acquisition, clinical skills, and overall well-being. The development of the Postgraduate Hospital Educational Environment Measure (PHEEM) and its translation to numerous languages has been a milestone in clinical education. Even though PHEEM was recently translated into Arabic, its psychometric properties in this form remain unevaluated. Therefore, this study aims to conduct a comprehensive psychometric analysis of the Arabic version of the PHEEM questionnaire. METHODS: This is a cross-sectional questionnaire survey validation study. The defined population were medical residents in Damascus, Syria. A paper-based survey as well as an online-based one were conducted using several non-probability sampling methods namely, convenience, river and, snowball sampling between June 15, 2023, and June 21, 2023. Both exploratory (EFA) and confirmatory (CFA) factor analyses were conducted. Several psychometric criteria were applied including scree plot, eigenvalue > 1.5 and the 'proportion of variance accounted for' criterion. RESULTS: A total of 543 participants completed the questionnaire (56.9% female). Kaiser-Meyer-Olkin measure for sample adequacy was high (0.937) and the P-value for Bartlett's test was < 0.001. EFA revealed five meaningful factors which were labelled: perception of teachers, learner's engagement and social participation, external regulation, work culture, and living conditions. These factors had the following eigenvalues: 12.6, 2.18, 2.03, 1.86, and 1.41 respectively, with a total explained variance of 43.45%. Cronbach's Alpha was 0.938. CFA confirmed the model structure of EFA (SRMR = 0.067 and RMSEA = 0.066). The Average Variance Explained (AVE) value of any given factor was > 0.7. DISCUSSION: The Arabic PHEEM inventory demonstrated satisfactory psychometric properties. The extracted domains are of theoretical relevance to the psychosocial-material conceptual framework for learning environment. Nonetheless, this validation was performed in the Syrian context; therefore, future studies in other Arabic countries are recommended to support the applicability of Arabic PHEEM in the wide Arab World.

Adaptation and validation for use in Brazil of the Confusion, Hubbub, and Order Scale (CHAOS).

BACKGROUND: The Confusion, Hubbub, and Order Scale (CHAOS in English Version) was originally developed in the USA by Matheny et al (Bringing order out of chaos: psychometric characteristics of the confusion, hubbub, and order scale. Journal of Applied Developmental Psychology 16(3):429-444, 1995) to measure chaos in the family environment, characterized by confusion, lack of routine, and organization. OBJECTIVE: To present evidence of content validity, internal structure validity, and validity based on relationships with external measures of an adapted version of the CHAOS into Brasilian Portuguese with adolescents sample in São Paulo - Brasil. METHOD: Study 1 involved the translation/back-translation and adaptation of the scale into Brazilian Portuguese [here named "Escala de Confusão, Alvoroço e Ordem no Sistema familiar" (CAOS)], assessed by 5 judges. In Study 2, we conducted an exploratory factor analyses (EFA) to determine the scale's factor structure (N = 180 adults). In Study 3, we carried out confirmatory factor analyses (CFA) to confirm the internal validity of the scale, along with complete structural equation modeling to explore convergent validity in another sample (N = 239 adolescents). RESULTS: The CAOS scale displayed content validity, and the EFA and CFA showed a unifactorial structure (with some scale adjustments) with an acceptable fit. The family chaos latent factor was associated with externalizing symptoms and perceived stress in adolescents. CONCLUSION: Overall, the Brazilian version of the scale presented evidence of construct, internal, and concurrent validity that indicate its usefulness in Brazil.

Extraction and Validation of Biomechanical Gait Parameters with Contactless FMCW Radar.

A 77 GHz frequency-modulated continuous wave (FMCW) radar was utilized to extract biomechanical parameters for gait analysis in indoor scenarios. By preprocessing the collected raw radar data and eliminating environmental noise, a range-velocity-time (RVT) data cube encompassing the subjects' information was derived. The strongest signals from the torso in the velocity and range dimensions and the enveloped signal from the toe in the velocity dimension were individually separated for the gait parameters extraction. Then, six gait parameters, including step time, stride time, step length, stride length, torso velocity, and toe velocity, were measured. In addition, the Qualisys system was concurrently utilized to measure the gait parameters of the subjects as the ground truth. The reliability of the parameters extracted by the radar was validated through the application of the Wilcoxon test, the intraclass correlation coefficient (ICC) value, and Bland-Altman plots. The average errors of the gait parameters in the time, range, and velocity dimensions were less than 0.004 s, 0.002 m, and 0.045 m/s, respectively. This non-contact radar modality promises to be employable for gait monitoring and analysis of the elderly at home.

IAVRS-International Affective Virtual Reality System: Psychometric Assessment of 360° Images by Using Psychophysiological Data.

Virtual Reality is an effective technique for eliciting emotions. It provides immersive and ecologically valid emotional experiences while maintaining experimental control. Recently, novel VR forms like 360° videos have been used successfully for emotion elicitation. Some preliminary databases of 360° videos for emotion elicitation have been proposed, but they tapped mainly into an emotional dimensional approach and did not include a concurrent physiological assessment of an emotional profile. This study expands on these databases by combining dimensional and discrete approaches to validate a new set of 360° emotion-inducing images. Twenty-six participants viewed 46 immersive images, and their emotional reactions were measured using self-reporting, psychophysiological signals, and eye tracking. The IAVRS database can successfully elicit a wide range of emotional responses, including both positive and negative valence, as well as different levels of arousal. Results reveal an important correspondence between the discrete and dimensional models of emotions. Furthermore, the images that exhibit convergence between the dimensional and discrete emotional models are particularly impactful regarding arousal and valence values. The IAVRS database provides insights into potential relationships between physiological parameters and emotional responses. This preliminary investigation highlights the complexity of emotional elicitation processes and their physiological correlates, suggesting the need for further research to deepen our understanding.

Comment on Martínez-Delgado et al. Using Absorption Models for Insulin and Carbohydrates and Deep Leaning to Improve Glucose Level Predictions. Sensors 2021, 21, 5273.

The paper "Using Absorption Models for Insulin and Carbohydrates and Deep Leaning to Improve Glucose Level Predictions" (Sensors2021, 21, 5273) proposes a novel approach to predicting blood glucose levels for people with type 1 diabetes mellitus (T1DM). By building exponential models from raw carbohydrate and insulin data to simulate the absorption in the body, the authors reported a reduction in their model's root-mean-square error (RMSE) from 15.5 mg/dL (raw) to 9.2 mg/dL (exponential) when predicting blood glucose levels one hour into the future. In this comment, we demonstrate that the experimental techniques used in that paper are flawed, which invalidates its results and conclusions. Specifically, after reviewing the authors' code, we found that the model validation scheme was malformed, namely, the training and test data from the same time intervals were mixed. This means that the reported RMSE numbers in the referenced paper did not accurately measure the predictive capabilities of the approaches that were presented. We repaired the measurement technique by appropriately isolating the training and test data, and we discovered that their models actually performed dramatically worse than was reported in the paper. In fact, the models presented in the that paper do not appear to perform any better than a naive model that predicts future glucose levels to be the same as the current ones.

External Validation of the Machine Learning-Based Thermographic Indices for Rheumatoid Arthritis: A Prospective Longitudinal Study.

External validation is crucial in developing reliable machine learning models. This study aimed to validate three novel indices-Thermographic Joint Inflammation Score (ThermoJIS), Thermographic Disease Activity Index (ThermoDAI), and Thermographic Disease Activity Index-C-reactive protein (ThermoDAI-CRP)-based on hand thermography and machine learning to assess joint inflammation and disease activity in rheumatoid arthritis (RA) patients. A 12-week prospective observational study was conducted with 77 RA patients recruited from rheumatology departments of three hospitals. During routine care visits, indices were obtained at baseline and week 12 visits using a pre-trained machine learning model. The performance of these indices was assessed cross-sectionally and longitudinally using correlation coefficients, the area under the receiver operating curve (AUROC), sensitivity, specificity, and positive and negative predictive values. ThermoDAI and ThermoDAI-CRP correlated with CDAI, SDAI, and DAS28-CRP cross-sectionally (ρ = 0.81; ρ = 0.83; ρ = 0.78) and longitudinally (ρ = 0.55; ρ = 0.61; ρ = 0.60), all p < 0.001. ThermoDAI and ThermoDAI-CRP also outperformed Patient Global Assessment (PGA) and PGA + C-reactive protein (CRP) in detecting changes in 28-swollen joint counts (SJC28). ThermoJIS had an AUROC of 0.67 (95% CI, 0.58 to 0.76) for detecting patients with swollen joints and effectively identified patients transitioning from SJC28 > 1 at baseline visit to SJC28 ≤ 1 at week 12 visit. These results support the effectiveness of ThermoJIS in assessing joint inflammation, as well as ThermoDAI and ThermoDAI-CRP in evaluating disease activity in RA patients.

International External Validation of Risk Prediction Model of 90-Day Mortality after Gastrectomy for Cancer Using Machine Learning.

BACKGROUND: Radical gastrectomy remains the main treatment for gastric cancer, despite its high mortality. A clinical predictive model of 90-day mortality (90DM) risk after gastric cancer surgery based on the Spanish EURECCA registry database was developed using a matching learning algorithm. We performed an external validation of this model based on data from an international multicenter cohort of patients. METHODS: A cohort of patients from the European GASTRODATA database was selected. Demographic, clinical, and treatment variables in the original and validation cohorts were compared. The performance of the model was evaluated using the area under the curve (AUC) for a random forest model. RESULTS: The validation cohort included 2546 patients from 24 European hospitals. The advanced clinical T- and N-category, neoadjuvant therapy, open procedures, total gastrectomy rates, and mean volume of the centers were significantly higher in the validation cohort. The 90DM rate was also higher in the validation cohort (5.6%) vs. the original cohort (3.7%). The AUC in the validation model was 0.716. CONCLUSION: The externally validated model for predicting the 90DM risk in gastric cancer patients undergoing gastrectomy with curative intent continues to be as useful as the original model in clinical practice.