Reliability and validity of the Turkish version of the Self-care of Hypertension Inventory Version 3.0 in adults with hypertension.

BACKGROUND: Hypertension is an important cardiovascular disease risk factor. Blood pressure control for hypertensive patients is crucial to prevent hypertension related complications. Ensuring and assessing self-care of hypertensive patients is important for blood pressure control and hypertension management. The Self-care of Hypertension Inventory (SC-HI) is an inventory developed for assessing self-care of hypertensive individuals. SC-HI has three subscales; maintenance, monitoring and management. OBJECTIVE: The aim of this study was to conduct Turkish version of SC-HI Version 3.0 (SC-HI V3.0) and assessing its psychometric properties for adults with hypertension. METHODS: We included 120 hypertensive patients in this methodological study. SC-HI V3.0 translated Turkish and tested for reliability and validity. To analyse structural validity item-total correlations and factor analyses was used. Intraclass correlation coefficient (ICC) method was selected for analysing scale's consistency and convergent validity was conducted. RESULTS: The mean age of participants were 54.74 ± 7.19 years and the mean duration from hypertension diagnosis were 38.19 ± 19.42 months. Translated Turkish version's factor loadings were ranged between 0.419 and 0.841. Cronbach's alpha coefficient values were 0.661, 0.880, 0.805 and ICC values were 1.0, 0.99, 0.99 for maintenance, monitoring and management, respectively. Convergent validity's correlation coefficients weak to very strong and statistically significant. CONCLUSIONS: Turkish version of the SC-HI Version 3.0 is reliable, valid and useful scale for assessing self-management in hypertensive adults for clinical practice and research purposes.

Competence of healthcare professionals in stroke care pathways: a cross-sectional study.

AIMS: To describe healthcare professionals' self-assessed competence in stroke care pathways based on their self-evaluation and identify the factors associated with competence. DESIGN: A cross-sectional, descriptive explorative study design was used. METHODS: The data were collected during May and September 2021 through a survey sent to healthcare professionals (N=1200, n=215) working in neurological care. Competence in stroke care pathways was measured using the RN-STROKE, PT-STROKE and OT-STROKE instruments defined by four-factor model. The instruments' validity and reliability were confirmed through exploratory factor analysis and Cronbach's alpha. K-means clustering, one-way ANOVA, Chi Square, Mann Whitney U and Kruskal-Wallis were used to analyze the data. The results were reported as frequencies, percentages, mean and standard deviation. The results were reported according to STROBE guidelines. RESULTS: Four main areas of healthcare professionals' competence in stroke care pathways were identified: (1) counseling and interaction competence (2) competence to use evidence-based information, (3) self-management and development competence, and (4) multiprofessional and collaboration competence. The study then identified three competence profiles of healthcare professionals working in the stroke care pathway. Professionals in Profile A evaluated their competence at the highest level, those in Profile B at the average level, and those in Profile C at the lowest level. Healthcare professionals' occupation and participation in their organisation's expert network were found to be associated with competence profiles. CONCLUSION: The overall competence of healthcare professionals in the stroke care pathway was rated as good, but competence to use evidence-based information in clinical practice, in particular, should be improved. Organisations should, therefore, increase education and training in this area and provide adequate resources to enable the use of evidence-based information in clinical work. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: The study identifies three profiles relating to healthcare professionals' competence in the stroke care pathway, which can be used to create continuous education and ensure better patient care according to participants' profiles. REPORTING METHOD: The study was reported using the STROBE Statement checklist. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

The Ottawa clinical fear of recurrence instruments: A screener, self-report, and clinical interview.

OBJECTIVE: Clinical fear of cancer recurrence (FCR) was recently defined by a group of experts during a Delphi study. Five criteria were agreed upon, namely: (a) high levels of preoccupation, (b) high levels of worry, (c) that are persistent, (d) hypervigilance and hypersensitivity to physical sensations that e) may result in functional impairment. No existing instruments comprehensively capture all these criteria for clinical FCR. METHODS: To remedy this gap, a set of three patient-reported outcome instruments including a one-item screener, self-report questionnaire, and semi-structured clinical interview, named the Ottawa Clinical Fear of Recurrence instruments, were developed. To do so, the research team first conducted a literature review of potential items. Additional FCR experts discussed the content of the screener and interview. The self-report's items were assessed for content validity by the same expert panel using Likert ratings and the Content Validity Index to narrow down the number of items. The three instruments were piloted with a group of cancer survivors to assess face validity following the European Organization for Research and Treatment of Cancer recommendations. RESULTS: The literature review and content validity assessment led to a final draft pre-pilot of 23 potential items for the self-report questionnaire. The instruments were piloted. Pilot study participants suggested changing wording and response options (particularly for the self-report) for greater clarity. CONCLUSIONS: Based on the feedback received, minor modifications were made, mostly for the self-report. In general, content and face validity for the three instruments were good for both experts and cancer survivors.

Development and validation of a simple and practical model for early detection of diabetic macular edema in patients with type 2 diabetes mellitus using easily accessible systemic variables.

OBJECTIVE: Diabetic macular edema (DME) is the leading cause of visual impairment in patients with diabetes mellitus (DM). The goal of early detection has not yet achieved due to a lack of fast and convenient methods. Therefore, we aim to develop and validate a prediction model to identify DME in patients with type 2 diabetes mellitus (T2DM) using easily accessible systemic variables, which can be applied to an ophthalmologist-independent scenario. METHODS: In this four-center, observational study, a total of 1994 T2DM patients who underwent routine diabetic retinopathy screening were enrolled, and their information on ophthalmic and systemic conditions was collected. Forward stepwise multivariable logistic regression was performed to identify risk factors of DME. Machine learning and MLR (multivariable logistic regression) were both used to establish prediction models. The prediction models were trained with 1300 patients and prospectively validated with 104 patients from Guangdong Provincial People's Hospital (GDPH). A total of 175 patients from Zhujiang Hospital (ZJH), 115 patients from the First Affiliated Hospital of Kunming Medical University (FAHKMU), and 100 patients from People's Hospital of JiangMen (PHJM) were used as external validation sets. Area under the receiver operating characteristic curve (AUC), accuracy (ACC), sensitivity, and specificity were used to evaluate the performance in DME prediction. RESULTS: The risk of DME was significantly associated with duration of DM, diastolic blood pressure, hematocrit, glycosylated hemoglobin, and urine albumin-to-creatinine ratio stage. The MLR model using these five risk factors was selected as the final prediction model due to its better performance than the machine learning models using all variables. The AUC, ACC, sensitivity, and specificity were 0.80, 0.69, 0.80, and 0.67 in the internal validation, and 0.82, 0.54, 1.00, and 0.48 in prospective validation, respectively. In external validation, the AUC, ACC, sensitivity and specificity were 0.84, 0.68, 0.90 and 0.60 in ZJH, 0.89, 0.77, 1.00 and 0.72 in FAHKMU, and 0.80, 0.67, 0.75, and 0.65 in PHJM, respectively. CONCLUSION: The MLR model is a simple, rapid, and reliable tool for early detection of DME in individuals with T2DM without the needs of specialized ophthalmologic examinations.

The effects of spatial leakage correction on the reliability of EEG-based functional connectivity networks.

Electroencephalography (EEG) functional connectivity (FC) estimates are confounded by the volume conduction problem. This effect can be greatly reduced by applying FC measures insensitive to instantaneous, zero-lag dependencies (corrected measures). However, numerous studies showed that FC measures sensitive to volume conduction (uncorrected measures) exhibit higher reliability and higher subject-level identifiability. We tested how source reconstruction contributed to the reliability difference of EEG FC measures on a large (n = 201) resting-state data set testing eight FC measures (including corrected and uncorrected measures). We showed that the high reliability of uncorrected FC measures in resting state partly stems from source reconstruction: idiosyncratic noise patterns define a baseline resting-state functional network that explains a significant portion of the reliability of uncorrected FC measures. This effect remained valid for template head model-based, as well as individual head model-based source reconstruction. Based on our findings we made suggestions how to best use spatial leakage corrected and uncorrected FC measures depending on the main goals of the study.

Applying the PTSD Checklist-Civilian and PTSD Checklist for DSM-5 crosswalk in a traumatic brain injury sample: A veterans affairs traumatic brain injury model systems study.

This study evaluates the use of the crosswalk between the PTSD Checklist-Civilian (PCL-C) and PTSD Checklist for DSM-5 (PCL-5) designed by Moshier et al. (2019) in a sample of service members and veterans (SM/V; N = 298) who had sustained a traumatic brain injury (TBI) and were receiving inpatient rehabilitation. The PCL-C and PCL-5 were completed at the same time. Predicted PCL-5 scores for the sample were obtained according to the crosswalk developed by Moshier et al. We used three measures of agreement: intraclass correlation coefficient (ICC), mean difference between predicted and observed scores, and Cohen's κ to determine the performance of the crosswalk in this sample. Subgroups relevant to those who have sustained a TBI, such as TBI severity, were also examined. There was strong agreement between the predicted and observed PCL-5 scores (ICC = .95). The overall mean difference between predicted and observed PCL-5 scores was 0.07 and not statistically significant (SD = 8.29, p = .89). Significant mean differences between predicted and observed PCL-5 scores calculated between subgroups were seen in Black participants (MD = -4.09, SD = 8.41, p = .01) and those in the Year 5 follow-up group (MD = 1.77, SD = 7.14, p = .03). Cohen's κ across subgroups had a mean of κ = 0.76 (.57-1.0), suggesting that there was moderate to almost perfect diagnostic agreement. Our results suggest the crosswalk created by Moshier et al. can be applied to SM/V who have suffered a TBI. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Tibial Axis-to-Talus Distance: A Clinically Reliable Measurement for Sagittal Translation of the Talus in Total Ankle Arthroplasty.

Background: Sagittal talar translation is an important factor influencing the sagittal alignment of total ankle arthroplasty (TAA). Thus, accurate measurement of sagittal talar translation is crucial. This study proposes a simple method (tibiotalar distance [TTD]) that can quantify talar translation without being affected by the ankle and subtalar joint condition or the talar component position in patients with TAA. Methods: We enrolled 280 eligible patients (296 ankles) who underwent primary TAA between 2005 and 2019 and retrospectively reviewed them for sagittal talar translation. The TTD was measured for each patient on weight-bearing lateral ankle radiographs by 3 raters. In addition, we analyzed interrater and intrarater reliability for the TTD method. Results: We found that the TTD method could quantify the talar translation and was not affected by the preoperative condition of the ankle joint surface, subtalar joint pathologies, or the postoperative talar component position. The TTD method showed an excellent intraclass correlation coefficient (> 0.9) in all interrater and intrarater reliability analyses. In the analysis of 157 healthy, unoperated contralateral ankles, we identified that TTD showed a Gaussian distribution (p = 0.284) and a mean of 38.91 mm (normal range, 29.63-48.20 mm). Conclusions: The TTD method is a simple and reliable method that could be applied to patients with TAA to assess the sagittal talar translation regardless of the pre-and postoperative joint condition and implantation status.

Probing a neural unreliability account of auditory sensory processing atypicalities in Rett Syndrome.

BACKGROUND: In the search for objective tools to quantify neural function in Rett Syndrome (RTT), which are crucial in the evaluation of therapeutic efficacy in clinical trials, recordings of sensory-perceptual functioning using event-related potential (ERP) approaches have emerged as potentially powerful tools. Considerable work points to highly anomalous auditory evoked potentials (AEPs) in RTT. However, an assumption of the typical signal-averaging method used to derive these measures is "stationarity" of the underlying responses - i.e. neural responses to each input are highly stereotyped. An alternate possibility is that responses to repeated stimuli are highly variable in RTT. If so, this will significantly impact the validity of assumptions about underlying neural dysfunction, and likely lead to overestimation of underlying neuropathology. To assess this possibility, analyses at the single-trial level assessing signal-to-noise ratios (SNR), inter-trial variability (ITV) and inter-trial phase coherence (ITPC) are necessary. METHODS: AEPs were recorded to simple 100 Hz tones from 18 RTT and 27 age-matched controls (Ages: 6-22 years). We applied standard AEP averaging, as well as measures of neuronal reliability at the single-trial level (i.e. SNR, ITV, ITPC). To separate signal-carrying components from non-neural noise sources, we also applied a denoising source separation (DSS) algorithm and then repeated the reliability measures. RESULTS: Substantially increased ITV, lower SNRs, and reduced ITPC were observed in auditory responses of RTT participants, supporting a "neural unreliability" account. Application of the DSS technique made it clear that non-neural noise sources contribute to overestimation of the extent of processing deficits in RTT. Post-DSS, ITV measures were substantially reduced, so much so that pre-DSS ITV differences between RTT and TD populations were no longer detected. In the case of SNR and ITPC, DSS substantially improved these estimates in the RTT population, but robust differences between RTT and TD were still fully evident. CONCLUSIONS: To accurately represent the degree of neural dysfunction in RTT using the ERP technique, a consideration of response reliability at the single-trial level is highly advised. Non-neural sources of noise lead to overestimation of the degree of pathological processing in RTT, and denoising source separation techniques during signal processing substantially ameliorate this issue.

Incorporating Medicare Advantage Admissions Into the CMS Hospital-Wide Readmission Measure.

Importance: Medicare Advantage (MA) enrollment is rapidly expanding, yet Centers for Medicare & Medicaid Services (CMS) claims-based hospital outcome measures, including readmission rates, have historically included only fee-for-service (FFS) beneficiaries. Objective: To assess the outcomes of incorporating MA data into the CMS claims-based FFS Hospital-Wide All-Cause Unplanned Readmission (HWR) measure. Design, Setting, and Participants: This cohort study assessed differences in 30-day unadjusted readmission rates and demographic and risk adjustment variables for MA vs FFS admissions. Inpatient FFS and MA administrative claims data were extracted from the Integrated Data Repository for all admissions for Medicare beneficiaries from July 1, 2018, to June 30, 2019. Measure reliability and risk-standardized readmission rates were calculated for the FFS and MA cohort vs the FFS-only cohort, overall and within specialty subgroups (cardiorespiratory, cardiovascular, medicine, surgery, neurology), then changes in hospital performance quintiles were assessed after adding MA admissions. Main Outcome and Measure: Risk-standardized readmission rates. Results: The cohort included 11 029 470 admissions (4 077 633 [37.0%] MA; 6 044 060 [54.8%] female; mean [SD] age, 77.7 [8.2] years). Unadjusted readmission rates were slightly higher for MA vs FFS admissions (15.7% vs 15.4%), yet comorbidities were generally lower among MA beneficiaries. Test-retest reliability for the FFS and MA cohort was higher than for the FFS-only cohort (0.78 vs 0.73) and signal-to-noise reliability increased in each specialty subgroup. Mean hospital risk-standardized readmission rates were similar for the FFS and MA cohort and FFS-only cohorts (15.5% vs 15.3%); this trend was consistent across the 5 specialty subgroups. After adding MA admissions to the FFS-only HWR measure, 1489 hospitals (33.1%) had their performance quintile ranking changed. As their proportion of MA admissions increased, more hospitals experienced a change in their performance quintile ranking (147 hospitals [16.3%] in the lowest quintile of percentage MA admissions; 408 [45.3%] in the highest). The combined cohort added 63 hospitals eligible for public reporting and more than 4 million admissions to the measure. Conclusions and Relevance: In this cohort study, adding MA admissions to the HWR measure was associated with improved measure reliability and precision and enabled the inclusion of more hospitals and beneficiaries. After MA admissions were included, 1 in 3 hospitals had their performance quintile changed, with the greatest shifts among hospitals with a high percentage of MA admissions.

Measuring intangible cultural heritage image: A scale development.

Although an increasing number of studies have examined issues relating to the preservation and development of intangible cultural heritage (ICH), there has been limited research on how tourists perceive ICH. Moreover, UNESCO asserts that the concept of "authenticity" is not applicable to ICH, and so far, no valid instrument for measuring tourists' subjective perceptions of ICH has been developed, even though their perceptions play a very important role in the preservation and development of ICH. Therefore, this paper aims to develop a measurement scale for ICH image, using both qualitative and quantitative research methods. Participant observation, semi-structured in-depth interviews, secondary data collection, and a literature review were conducted to generate the initial scale items, and then the main surveys were conducted to collect data for the model tests. Four dimensions were extracted by exploratory factor analysis: transmission, localization, vitality, and association. The reliability and validity of the measurement model were demonstrated through confirmatory factor analysis. We further determined that the transmission, vitality, and association of ICH image have a positive impact on tourists' revisit intention. The paper highlights the crucial role of ICH image in sustainable tourism development. The theoretical and managerial implications of the study are discussed, followed by suggestions for future research.

Development and validation of risk prediction model for bacterial infections in acute liver failure patients.

Infections significantly increase mortality in acute liver failure (ALF) patients, and there are no risk prediction models for early diagnosis and treatment of infections in ALF patients. This study aims to develop a risk prediction model for bacterial infections in ALF patients to guide rational antibiotic therapy. The data of ALF patients admitted to the Second Hospital of Hebei Medical University in China from January 2017 to January 2022 were retrospectively analyzed for training and internal validation. Patients were selected according to the updated 2011 American Association for the Study of Liver Diseases position paper on ALF. Serological indicators and model scores were collected within 24 h of admission. New models were developed using the multivariate logistic regression analysis. An optimal model was selected by receiver operating characteristic (ROC) analysis, Hosmer-Lemeshow test, the calibration curve, the Brier score, the bootstrap resampling, and the decision curve analysis. A nomogram was plotted to visualize the results. A total of 125 ALF patients were evaluated and 79 were included in the training set. The neutrophil-to-lymphocyte ratio and sequential organ failure assessment (SOFA) were integrated into the new model as independent predictive factors. The new SOFA-based model outperformed other models with an area under the ROC curve of 0.799 [95% confidence interval (CI): 0.652-0.926], the superior calibration and predictive performance in internal validation. High-risk individuals with a nomogram score ≥26 are recommended for antibiotic therapy. The new SOFA-based model demonstrates high accuracy and clinical utility in guiding antibiotic therapy in ALF patients.

Impulsivity is a stable, measurable, and predictive psychological trait.

Impulsivity is a personality construct frequently employed to explain and predict important human behaviors. Major inconsistencies in its definition and measurement, however, have led some researchers to call for an outright rejection of impulsivity as a psychological construct. We address this highly unsatisfactory state with a large-scale, preregistered study (N = 1,676) in which each participant completed 48 measures of impulsivity derived from 10 self-report scales and 10 behavioral tasks and reported frequencies of seven impulsivity-related behaviors (e.g., impulsive buying and social media usage); a subsample (N = 196) then completed a retest session 3 mo later. We found that correlations between self-report measures were substantially higher than those between behavioral tasks and between self-report measures and behavioral tasks. Bifactor analysis of these measures exacted one general factor of impulsivity I, akin to the general intelligence factor g, and six specific factors. Factor I was related mainly to self-report measures, had high test-retest reliability, and could predict impulsivity-related behaviors better than existing measures. We further developed a scale named the adjustable impulsivity scale (AIMS) to measure I. AIMS possesses excellent psychometric properties that are largely retained in shorter versions and could predict impulsivity-related behaviors equally well as I. These findings collectively support impulsivity as a stable, measurable, and predictive trait, indicating that it may be too early to reject it as a valid and useful psychological construct. The bifactorial structure of impulsivity and AIMS, meanwhile, significantly advance the conceptualization and measurement of construct impulsivity.

Parallel DNA/RNA NGS Using an Identical Target Enrichment Panel in the Analysis of Hereditary Cancer Predisposition.

Germline DNA testing using the next-gene-ration sequencing (NGS) technology has become the analytical standard for the diagnostics of hereditary diseases, including cancer. Its increasing use places high demands on correct sample identification, independent confirmation of prioritized variants, and their functional and clinical interpretation. To streamline these processes, we introduced parallel DNA and RNA capture-based NGS using identical capture panel CZECANCA, which is routinely used for DNA analysis of hereditary cancer predisposition. Here, we present the analytical workflow for RNA sample processing and its analytical and diagnostic performance. Parallel DNA/RNA analysis allowed credible sample identification by calculating the kinship coefficient. The RNA capture-based approach enriched transcriptional targets for the majority of clinically relevant cancer predisposition genes to a degree that allowed analysis of the effect of identified DNA variants on mRNA processing. By comparing the panel and whole-exome RNA enrichment, we demonstrated that the tissue-specific gene expression pattern is independent of the capture panel. Moreover, technical replicates confirmed high reproducibility of the tested RNA analysis. We concluded that parallel DNA/RNA NGS using the identical gene panel is a robust and cost-effective diagnostic strategy. In our setting, it allows routine analysis of 48 DNA/RNA pairs using NextSeq 500/550 Mid Output Kit v2.5 (150 cycles) in a single run with sufficient coverage to analyse 226 cancer predisposition and candidate ge-nes. This approach can replace laborious Sanger confirmatory sequencing, increase testing turnaround, reduce analysis costs, and improve interpretation of the impact of variants by analysing their effect on mRNA processing.

Electronic Health Literacy Scale-Web3.0 for Older Adults with Noncommunicable Diseases: Validation Study.

BACKGROUND: In the current digital era, eHealth literacy plays an indispensable role in health care and self-management among older adults with noncommunicable diseases (NCDs). Measuring eHealth literacy appropriately and accurately ensures the successful implementation and evaluation of pertinent research and interventions. However, existing eHealth literacy measures focus mainly on individuals' abilities of accessing and comprehending eHealth information (Web1.0), whereas the capabilities for web-based interaction (Web2.0) and using eHealth information (Web3.0) have not been adequately evaluated. OBJECTIVE: This study aimed to examine the reliability, validity, and measurement invariance of the eHealth Literacy Scale-Web3.0 (eHLS-Web3.0) among older adults with NCDs. METHODS: A total of 642 Chinese older adults with NCDs (mean age 65.78, SD 3.91 years; 55.8% female) were recruited in the baseline assessment, of whom 134 (mean age 65.63, SD 3.99 years; 58.2% female) completed the 1-month follow-up assessment. Baseline measures included the Chinese version of the 24-item 3D eHLS-Web3.0, the Chinese version of the 8-item unidimensional eHealth Literacy Scale (eHEALS), and demographic information. Follow-up measures included the 24-item eHLS-Web3.0 and accelerometer-measured physical activity and sedentary behavior. A series of statistical analyses, for example, Cronbach α, composite reliability coefficient (CR), confirmatory factor analysis (CFA), and multigroup CFA, were performed to examine the internal consistency and test-retest reliabilities, as well as the construct, concurrent, convergent, discriminant, and predictive validities, and the measurement invariance of the eHLS-Web3.0 across gender, education level, and residence. RESULTS: Cronbach α and CR were within acceptable ranges of 0.89-0.94 and 0.90-0.97, respectively, indicating adequate internal consistency of the eHLS-Web3.0 and its subscales. The eHLS-Web3.0 also demonstrated cross-time stability, with baseline and follow-up measures showing a significant intraclass correlation of 0.81-0.91. The construct validity of the 3D structure model of the eHLS-Web3.0 was supported by confirmatory factor analyses. The eHLS-Web3.0 exhibited convergent validity with an average variance extracted value of 0.58 and a CR value of 0.97. Discriminant validity was supported by CFA results for a proposed 4-factor model integrating the 3 eHLS-Web3.0 subscales and eHEALS. The predictive validity of the eHLS-Web3.0 for health behaviors was supported by significant associations of the eHLS-Web3.0 with light physical activity (ß=.36, P=.004), moderate to vigorous physical activity (ß=.49, P<.001), and sedentary behavior (ß=-.26, P=.002). Finally, the measurement invariance of the eHLS-Web3.0 across gender, education level, and residence was supported by the establishment of configural, metric, strong, and strict invariances. CONCLUSIONS: The present study provides timely empirical evidence on the reliability, validity, and measurement invariance of the eHLS-Web3.0, suggesting that the 24-item 3D eHLS-Web3.0 is an appropriate and valid tool for measuring eHealth literacy among older adults with NCDs within the Web3.0 sphere.

Classification of short and long term mild traumatic brain injury using computerized eye tracking.

Accurate, and objective diagnosis of brain injury remains challenging. This study evaluated useability and reliability of computerized eye-tracker assessments (CEAs) designed to assess oculomotor function, visual attention/processing, and selective attention in recent mild traumatic brain injury (mTBI), persistent post-concussion syndrome (PPCS), and controls. Tests included egocentric localisation, fixation-stability, smooth-pursuit, saccades, Stroop, and the vestibulo-ocular reflex (VOR). Thirty-five healthy adults performed the CEA battery twice to assess useability and test-retest reliability. In separate experiments, CEA data from 55 healthy, 20 mTBI, and 40 PPCS adults were used to train a machine learning model to categorize participants into control, mTBI, or PPCS classes. Intraclass correlation coefficients demonstrated moderate (ICC > .50) to excellent (ICC > .98) reliability (p < .05) and satisfactory CEA compliance. Machine learning modelling categorizing participants into groups of control, mTBI, and PPCS performed reasonably (balanced accuracy control: 0.83, mTBI: 0.66, and PPCS: 0.76, AUC-ROC: 0.82). Key outcomes were the VOR (gaze stability), fixation (vertical error), and pursuit (total error, vertical gain, and number of saccades). The CEA battery was reliable and able to differentiate healthy, mTBI, and PPCS patients reasonably well. While promising, the diagnostic model accuracy should be improved with a larger training dataset before use in clinical environments.

Measures of financial toxicity in cancer survivors: a systematic review.

PURPOSE: Comprehensive cancer-related financial toxicity (FT) measures as a multidimensional construct are lacking. The aims of this systematic review were to (1) identify full measures designed explicitly for assessing FT and evaluate their psychometric properties (content validity, structural validity, reliability, and other measurement properties) using Consensus-Based Standards for the Selection of Health Measurement Instruments (COSMIN), and (2) provide an analysis of the domains of FT covered in these measures. METHODS: MEDLINE, CINAHL, Web of Science, and Cochrane CENTRAL were searched for quantitative studies published from January 2000 to July 2023 that reported psychometric properties of FT measures in cancer survivors. The psychometric properties of FT measures and study risk of bias were analysed using COSMIN. Each FT measure was compared against the six domains of FT recommended by Witte and colleagues. Results were synthesized narratively. The detailed search strategies are available in Table S1. RESULTS: Six FT tools including the COST-FACIT, PROFFIT, FIT, SFDQ, HARDS, and ENRICh-Spanish were identified. The COST-FACIT measure had good measurement properties. No measure reached an excellent level for overall quality but was mostly rated as sufficient. The SFDQ, HARDS, and ENRICh-Spanish were the most comprehensive in the inclusion of the six domains of FT. CONCLUSION: This review emphasizes the need for validated multidimensional FT measures that can be applied across various cancer types, healthcare settings, and cultural backgrounds. Furthermore, a need to develop practical screening tools with high predictive ability for FT is highly important, considering the significant consequences of FT. Addressing these gaps in future research will further enhance the understanding of FT.

Assessing the mental health of slum dwellers: an ordinal logistic approach.

BACKGROUND: Stress, depression and anxiety are prevalent mental health concerns that are getting worse every day in the context of rapidly expanding megacities, where a rising number of people live in slums. The purpose of this study is to evaluate the state of mental health and related variables underlying mental health issues among the impoverished population. METHODOLOGY: A total of 384 slum residents from the Khulna division responded to our questionnaire, which included the DASS-21 and other pertinent questions. Using ordinal logistic regression, the significant factors were extracted. RESULTS: The Cronbach's reliability coefficient for the DASS-21 scale lies between 0.79 and 0.89 which indicates the high reliability of the DASS-21 scales. According to the findings, roughly 72.7%, 84.1%, and 69% of participants slum dwellers experienced anxiety, depression, and anxiety problems respectively. The result of ordinal logistic regression shows, slum dwellers of female gender (B = 0.669*, 95% CI 0.141, 1.197), married (B = 1.506*, 95% CI 0.119, 2.893), having only one earning member in the family (B = 1.224*, 95% CI 0.526, 1.922), day laborers (B = 2.294*, 95% CI 1.115, 3.473), not being able to educate children due to financial problem (B = 0.558*, 95% CI 0.183, 0.932) were more likely to report high levels of anxiety, depression, and stress. CONCLUSION: The study finds that a significant portion of people who live in slums struggle with mental health issues. It also points to the need for further support, intervention, and study on Khulna's slum inhabitants who are experiencing mental health issues. The authors anticipate that the results will spur policymakers and government representatives to enhance financing for slum dwellers and employ psychological intervention strategies, both of which will aid in achieving the Sustainable Development Goal.

Development and validity evidence on the scale of perceived social support for university students (EPSSEU) during the period of social restrictions.

AIM: This study aims to validate a Perceived Social Support Scale for University Students (EPSSEU) during periods of social restrictions, by focusing on family and university support. SUBJECT AND METHODS: This cross-sectional study was conducted with undergraduate students from a public higher education institution. The college students who participated in the study-1353 at baseline and 378 after 6 months-answered a virtual questionnaire containing questions on: sociodemographic and lifestyle data, items proposed for the EPSSEU, Satisfaction with Social Support Scale (ESSS), and Depression, Anxiety and Stress Scale (DASS-21). Exploratory factor analysis, Cronbach's alpha reliability analysis, as well as discriminant, convergent, and known-group validations were performed. RESULTS: The results showed two factors support from: i) the university and ii) friends and family- which explained 61.82% of the variance in the data. The EPSSEU showed good reliability (Cronbach's alpha = 0.796) as well as validity, with higher scores among individuals without depression, anxiety, or stress. CONCLUSION: The EPSSEU shows adequate psychometric qualities and may be a useful instrument for assessing university students' social support in pandemics, social distancing, and remote teaching contexts.

Risk factor analysis and nomogram for predicting poor symptom control in smoking asthmatics.

BACKGROUND: Smoking induces and modifies the airway immune response, accelerating the decline of asthmatics' lung function and severely affecting asthma symptoms' control level. To assess the prognosis of asthmatics who smoke and to provide reasonable recommendations for treatment, we constructed a nomogram prediction model. METHODS: General and clinical data were collected from April to September 2021 from smoking asthmatics aged ≥14 years attending the People's Hospital of Zhengzhou University. Patients were followed up regularly by telephone or outpatient visits, and their medication and follow-up visits were recorded during the 6-months follow-up visit, as well as their asthma control levels after 6 months (asthma control questionnaire-5, ACQ-5). The study employed R4.2.2 software to conduct univariate and multivariate logistic regression analyses to identify independent risk factors for 'poorly controlled asthma' (ACQ>0.75) as the outcome variable. Subsequently, a nomogram prediction model was constructed. Internal validation was used to test the reproducibility of the model. The model efficacy was evaluated using the consistency index (C-index), receiver operating characteristic (ROC) curve, calibration curve, and decision curve. RESULTS: Invitations were sent to 231 asthmatics who smoked. A total of 202 participants responded, resulting in a final total of 190 participants included in the model development. The nomogram established five independent risk factors (P<0.05): FEV1%pred, smoking index (100), comorbidities situations, medication regimen, and good or poor medication adherence. The area under curve (AUC) of the modeling set was 0.824(95%CI 0.765-0.884), suggesting that the nomogram has a high ability to distinguish poor asthma control in smoking asthmatics after 6 months. The calibration curve showed a C-index of 0.824 for the modeling set and a C-index of 0.792 for the self-validation set formed by 1000 bootstrap sampling, which means that the prediction probability of the model was consistent with reality. Decision curve analysis (DCA) of the nomogram revealed that the net benefit was higher when the risk threshold probability for poor asthma control was 4.5 - 93.9%. CONCLUSIONS: FEV1%pred, smoking index (100), comorbidities situations, medication regimen, and medication adherence were identified as independent risk factors for poor asthma control after 6 months in smoking asthmatics. The nomogram established based on these findings can effectively predict relevant risk and provide clinicians with a reference to identify the poorly controlled population with smoking asthma as early as possible, and to select a better therapeutic regimen. Meanwhile, it can effectively improve the medication adherence and the degree of attention to complications in smoking asthma patients.

Force Production Measurements During a Supine Medicine Ball Throw: a Reliability and Correlation Study.

OBJECTIVES: This study aimed to examine the reliability of supine medicine ball throw peak force and rate of force development (RFD) measurements. A secondary aim was to investigate the correlations between these measurements and vertical jump height. METHODS: Twenty young women (21±3 years) reported for experimental testing on two different occasions. Supine medicine ball throw assessments were performed during each testing session to assess peak force, RFDmax, and RFD at specific percentages of peak force (RFD30% and RFD40-80%). Vertical jumps were performed on a jump mat. The jump mat measured vertical jump height based on flight time. RESULTS: Good intraclass correlation coefficients (≥0.82) and coefficients of variation (≤14.0%) were observed between sessions for peak force, RFDmax, and RFD40-80%, but not for RFD30% (0.55, 27.2%). There were significant correlations between jump height and peak force (r=0.483, P=0.031), RFDmax (r=0.484, P=0.031), and RFD40-80% (r=0.491, P=0.028). There was no significant correlation between jump height and RFD30% (r=0.359, P=0.120). CONCLUSIONS: Our results showed that supine medicine ball throw peak force, RFDmax, and RFD40-80% were reliable measures for assessing upper-body explosive strength in young adults. These measurements were significantly associated with vertical jump height and therefore, may be effective predictors of one's athletic ability.