Characteristics and phytotoxicity of hydrochar-derived dissolved organic matter: Effects of feedstock type and hydrothermal temperature.

The dissolved organic matter (DOM) with high mobility and reactivity plays a crucial role in soil. In this study, the characteristics and phytotoxicity of DOM released from the hydrochars prepared from different feedstocks (cow manure, corn stalk and Myriophyllum aquaticum) under three hydrothermal carbonization (HTC) temperatures (180, 200 and 220°C) were evaluated. The results showed that the hydrochars had high dissolved organic carbon content (20.15 to 37.65 mg/g) and its content showed a gradual reduction as HTC temperature increased. Three fluorescent components including mixed substance of fulvic acid-like and humic acid-like substances (C1, 30.92%-58.32%), UVA humic acid-like substance (C2, 25.27%-29.94%) and protein-like substance (C3, 11.74%-41.92%) were identified in hydrochar DOM by excitation emission matrix spectra coupled with parallel factor analysis. High HTC temperature increased the relative proportion of aromatic substances (C1+C2) and humification degree of hydrochar DOM from cow manure, while it presented adverse effects on the hydrochar DOM from corn stalk and Myriophyllum. aquaticum. The principal component analysis suggested that feedstock type and HTC temperature posed significant effects on the characteristics of hydrochar DOM. Additionally, seed germination test of all hydrochar DOM demonstrated that the root length was reduced by 8.88%-26.43% in contrast with control, and the germination index values were 73.57%-91.12%. These findings provided new insights into the potential environmental effects for hydrochar application in soil.

Development and validation of a patient-centered communication scale for nurses.

BACKGROUND: Patient-centered care aims to prevent disease and promote well-being by actively involving patients in treatment and decision-making that is based on respecting the patients and their families. However, no scales have been developed to assess patient-centered care from the nurse's perspective. This study aimed to develop a scale to measure nurses' level of patient-centered communication and confirm its validity and reliability. METHODS: A methodological cross-sectional study was adopted to develop and validate the Patient-Centered Communication Scale (PCCS). The items were developed through a literature review and online interviews with nurses. Content validity was assessed by experts and the content validity index was calculated. A pretest of the questionnaire was conducted with 10 clinical nurses. To evaluate the factor structure and internal consistency reliability, the PCCS was administered online to 325 nurses in South Korea. Data were analyzed using descriptive statistics, explanatory factor analysis (EFA), and confirmatory factor analysis (CFA). RESULTS: The final instrument consisted of 12 items and three factors: (1) information sharing, (2) patient-as-person, and (3) therapeutic alliance. EFA revealed a distinct three-factor structure, explaining 59.0% of the total variance. CFA confirmed the adequacy of the model fit and validated the inclusion of the final items. The Cronbach's alpha values ranged from 0.60 to 0.77, indicating acceptable internal consistency. Convergent validity was evidenced by the correlation between the PCCS and a measure of interpersonal communication competence. CONCLUSIONS: The 12-item PCCS showed good reliability, construct validity, and convergent validity. The scale has utility for measuring the level of patient-centered communication skills in nurses.

Development and validation of a rating scale for barriers to and facilitators of nurses' participation intentions in "Internet + Nursing Service".

BACKGROUND: Given increases in China's aging population, the growing demand for public health services and the shortage of human resources among nurses have become more prominent. Under such a background, "Internet + Nursing Services" have received more attention. Thus, exploring the barriers to and facilitators of nurses' willingness to participate in "Internet + Nursing Services" and utilizing internet technology to increase the supply of nursing services has become a key issue. OBJECTIVE: This study aimed to develop a scale for assessing the barriers to and facilitators of nurses' willingness to participate in "Internet + Nursing Services" and to test the validity and reliability of the scale. METHODS: A preliminary scale was developed based on a literature review, theoretical research, semistructured qualitative interviews, and two rounds of Delphi expert inquiry. A convenient sampling method was used for the questionnaire survey. A 5-point Likert scale was used to evaluate the importance of the items. The survey data of 659 clinical nurses obtained from February to March 2023 were used for item analysis, exploratory factor analysis (EFA), and reliability and validity tests of the scale. The survey data of 538 clinical nurses obtained in April 2023 were used for confirmatory factor analysis (CFA) of the final scale. RESULTS: The final scale consists of 25 items and 4 dimensions (performance expectations, perceived risk, need for professional knowledge training, and nonprofessional knowledge training). The scale showed good structural validity and content validity: the Cronbach's α coefficient of the scale was 0.955, the split-half reliability was 0.778, the test-retest reliability was 0.944, the kaiser-meyer-olkin(KMO) value was 0.960, and the cumulative variance contribution rate of the 4 common factors was 83.147%. The scale content validity index(S-CVI) was 0.914. The confirmatory factor analysis model had favorable fit indices: χ2/df = 4.234, RMSEA = 0.078, NFI = 0.940, IFI = 0.953, TLI = 0.947, and CFI = 0.953. CONCLUSION: The scale for assessing the barriers to and facilitators of nurses' willingness to participate in "Internet + Nursing Services" has good reliability and validity, and provides a reference for evaluating nurses' willingness to participate in "Internet + Nursing Services".

Heterogeneity in public health service utilization and its relationship with social integration among older adult migrants in China: a latent class analysis.

Background: The older adult migrant population in China is on the rise, which presents challenges for the national public health service system. However, the heterogeneity of public health service utilization and its relationship with social integration among the older adult migrant population remains unclear. This study aims to explore the heterogeneity the public health service utilization and how it relates to their social integration. Methods: A total of 6,178 older adult migrants from the China Migrants Dynamic Survey (CMDS) in 2017 were included in this study. Exploratory factor analysis was used to categorize social integration into four dimensions. Latent class analysis (LCA) was used to identify different sub-groups of public health service utilization. ANOVA and multivariate logistic regression were used to determine the characteristics of different sub-groups. Results: Three potential classes of public health service utilization were identified: low utilization of basic public health services class (N = 3,264,52.756%), medium utilization of basic public health services class (N = 1,743,28.172%), and high utilization of basic public health services class (N = 1,180,19.072%). Gender, education, extent of mobility, and move alone or not, flow time were all predictors of the class of public health service utilization. There were significant differences in social integration across potential categories (p<0.0001). Conclusion: The utilization of public health services of the older adult migrants is affected by many aspects. Social integration deserves attention as a significant influencing factor in the utilization of public health services. The government should pay attention to the characteristics of the older adult migrants and formulate relevant policies in a targeted manner in order to improve the utilization of public health services of the older adult migrants.

Measuring sexual behavior stigma among cisgender men who have sex with men: an assessment of cross-country measurement invariance.

Objectives: Globally, cisgender men who have sex with men experience sexual stigma, but limited investigation of cross-population scale performance hinder comparisons. As measurement invariance is a necessary but seldom-established criterion of valid cross-cultural comparisons, we assessed invariance in scales of stigma related to sexual behavior across 9 countries. Methods: This secondary analysis used data collected from adult (mean age=29.6, standard deviation=12.5) cisgender men who have sex with men (n=8,669) in studies from 6 West African, 2 Southern African, and 1 North American country from 2012-2016. A common item set assessed 2 sexual behavior stigma domains. A sequential process was used to test the factor structure and measurement invariance, which included multigroup confirmatory factor analyses (CFA). Individual countries, items, living with HIV, and disclosure were explored as possible sources of noninvariance. Results: Goodness-of-fit statistics indicated adequate fit of the same 2-factor model in 7 of the 9 countries. The chi2 difference test comparing a constrained and unconstrained 7-country model in which loadings and thresholds were freely estimated was significant (p<0.001), indicating metric and scalar noninvariance, but removing the US provided evidence of invariance and freeing certain items led to a finding of partial invariance. Sexuality disclosure exhibited a direct relationship with select stigma items in several countries. Conclusions: Our findings point to the utility of the two stigma scale dimensions in making cross-country comparisons, but also to the necessity of assessing invariance with explicit attention to several factors including differential disclosure of sexuality across contexts to ensure valid comparisons.

Examining Generalizability across Different Surveys: Comparing Nutrient-Based Food Patterns and Their Cross-Sectional Associations with Cardiometabolic Health in the United States Hispanic/Latino Adults.

Background: Ethnicity, cultural background, and geographic location differ significantly within the United States Hispanic/Latino population. These variations can greatly define diet and its relationship with cardiometabolic disease, thus influencing generalizability of results. Objectives: We aimed to examine nutrient-based food patterns (NBFPs) of Hispanic/Latino adults and their association with cardiometabolic risk factors (dyslipidemia, hypertension, obesity, diabetes) across 2 United States population-based studies with differing sampling strategies. Methods: Data were collected from Mexican or other Hispanic adult participants from 2007-2012 National Health and Nutrition Examination Survey (NHANES) (n = 3605) and 2007-2011 Hispanic Community Health Survey/Study of Latinos (HCHS/SOL, n = 14,416). NBFPs were derived using factor analysis on nutrient intake data estimated from 24-h dietary recalls and interpreted using common foods in which these nutrients are prominent. Cross-sectional associations between NBFPs (quintiles) and cardiometabolic risk factors, defined by clinical measures and self-report, were estimated using survey-weighted multivariable-adjusted logistic models, accounting for multiple testing. Results: Five NBFPs were identified in both studies: 1) meats, 2) grains/legumes, 3) fruits/vegetables, 4) dairy, and 5) fats/oils. Associations with cardiometabolic risk factors differed by NBFP and study. In HCHS/SOL, the odds of diabetes were lower for persons in the highest quintile of meats NBFP (odds ratio [OR]: 0.73; 95% confidence interval [CI]: 0.58, 0.92) and odds were higher for those in the lowest quintile of fruits/vegetables (OR: 0.71; 95% CI: 0.55, 0.93) compared to those in the third (moderate intake) quintile. Those in the fourth quintile of dairy NBFP had higher odds of hypertension than those in the third quintile (OR: 1.31; 95% CI: 1.01, 1.70). In NHANES, the odds of hypertension were higher for those in the fourth quintile of dairy (OR: 1.88; 95% CI: 1.10, 3.24) than those in the third quintile. Conclusions: Diet-disease relationships among Hispanic/Latino adults vary according to 2 population-based studies. These differences have research and practical implications when generalizing inferences on heterogeneous underrepresented populations.

Internalizing problems can differ in boys and girls since early childhood: Findings from the Child Behavioral Checklist 1.5-5 (CBCL 1.5-5).

BACKGROUND: Globally, internalizing problems disproportionately affect females in adolescence and adulthood, with limited research at earlier ages due to a focus on disruptive behaviors. Our study addresses this gap by exploring the structure of internalizing problems and gender differences in Brazilian preschoolers. METHODS: We analyzed data from the Child Behavioral Checklist 1.5-5 in the Preschool Mental Health Study, involving 1,292 children aged 4 to 5 in Embu das Artes, São Paulo, Brazil. Confirmatory factor analysis and mean comparisons explored internalizing problems and gender variations. RESULTS: A two-factor model best fit both internalizing and externalizing problems.The hierarchical model with four factors (Emotionally Reactive, Anxiety/Depression, Somatic Complaints, and Withdrawn) best fit internalizing problems, achieving partial invariance between boys and girls. Boys scored higher in Withdrawn Syndrome, while girls scored higher in Somatic Complaints Syndrome. CONCLUSIONS: Preschoolers' internalizing problems warrant attention beyond their link to externalizing problems. While the overall construct is similar in boys and girls, divergent syndrome scores indicate potential distinct risk patterns requiring further exploration.

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

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

Investigating the quality of extraction and quantification of bioactive compounds in berries through liquid chromatography and multivariate curve resolution.

Berries are a rich source of natural antioxidant compounds, which are essential to profile, as they add to their nutritional value. However, the complexity of the matrix and the structural diversity of these compounds pose challenges in extraction and chromatographic separation. By relying on multivariate curve resolution alternating least squares (MCR-ALS) ability to extract components from complex spectral mixtures, our study evaluates the contributions of various extraction techniques to interference, extractability, and quantifying different groups of overlapping compounds using liquid chromatography diode array detection (LC-DAD) data. Additionally, the combination of these methods extends its applicability to evaluate polyphenol degradation in stored berry smoothies, where evolving factor analysis (EFA) is also used to elucidate degradation products. Results indicate that among the extraction techniques, ultrasonication-assisted extraction employing 1% formic acid in methanol demonstrated superior extractability and selectivity for the different phenolic compound groups, compared with both pressurized liquid extraction and centrifugation of the fresh berry smoothie. Employing MCR-ALS on the LC-DAD data enabled reliable estimation of total amounts of compound classes with high spectral overlaps. Degradation studies revealed significant temperature-dependent effects on anthocyanins, with at least 50% degradation after 7 months of storage at room temperature, while refrigeration and freezing maintained fair stability for at least 12 months. The EFA model estimated phenolic derivatives as the main possible degradation products. These findings enhance the reliability of quantifying polyphenolic compounds and understanding their stability during the storage of berry products.

Social Vulnerability and Compliance With World Health Organization Advice on Protective Behaviors Against COVID-19 in African and Asia Pacific Countries: Factor Analysis to Develop a Social Vulnerability Index.

BACKGROUND: COVID-19 protective behaviors are key interventions advised by the World Health Organization (WHO) to prevent COVID-19 transmission. However, achieving compliance with this advice is often challenging, particularly among socially vulnerable groups. OBJECTIVE: We developed a social vulnerability index (SVI) to predict individuals' propensity to adhere to the WHO advice on protective behaviors against COVID-19 and identify changes in social vulnerability as Omicron evolved in African countries between January 2022 and August 2022 and Asia Pacific countries between August 2021 and June 2022. METHODS: In African countries, baseline data were collected from 14 countries (n=15,375) during the first Omicron wave, and follow-up data were collected from 7 countries (n=7179) after the wave. In Asia Pacific countries, baseline data were collected from 14 countries (n=12,866) before the first Omicron wave, and follow-up data were collected from 9 countries (n=8737) after the wave. Countries' socioeconomic and health profiles were retrieved from relevant databases. To construct the SVI for each of the 4 data sets, variables associated with COVID-19 protective behaviors were included in a factor analysis using polychoric correlation with varimax rotation. Influential factors were adjusted for cardinality, summed, and min-max normalized from 0 to 1 (most to least vulnerable). Scores for compliance with the WHO advice were calculated using individuals' self-reported protective behaviors against COVID-19. Multiple linear regression analyses were used to assess the associations between the SVI and scores for compliance to WHO advice to validate the index. RESULTS: In Africa, factors contributing to social vulnerability included literacy and media use, trust in health care workers and government, and country income and infrastructure. In Asia Pacific, social vulnerability was determined by literacy, country income and infrastructure, and population density. The index was associated with compliance with the WHO advice in both time points in African countries but only during the follow-up period in Asia Pacific countries. At baseline, the index values in African countries ranged from 0.00 to 0.31 in 13 countries, with 1 country having an index value of 1.00. The index values in Asia Pacific countries ranged from 0.00 to 0.23 in 12 countries, with 2 countries having index values of 0.79 and 1.00. During the follow-up phase, the index values decreased in 6 of 7 African countries and the 2 most vulnerable Asia Pacific countries. The index values of the least vulnerable countries remained unchanged in both regions. CONCLUSIONS: In both regions, significant inequalities in social vulnerability to compliance with WHO advice were observed at baseline, and the gaps became larger after the first Omicron wave. Understanding the dimensions that influence social vulnerability to protective behaviors against COVID-19 may underpin targeted interventions to enhance compliance with WHO recommendations and mitigate the impact of future pandemics among vulnerable groups.

Spatial differences of dissolved organic matter composition and humification in an artificial lake.

The depth-dependent dynamics of dissolved organic matter (DOM) structure and humification in an artificial lake limits the understanding of lake eutrophication and carbon cycling. Using fluorescence regional integration (FRI) and parallel factor analysis (PARAFAC) models to analyze the 3D fluorescence spectroscopy dataset, we revealed the depth-dependent structure and vertical distribution of DOM in the estuarine and center regions of Lake Hongfeng. The percentage fluorescence response (Pi,n) showed humic acid is an important part of DOM in Lake Hongfeng. Fluorescence results show that the fulvic-like and protein-like materials in HF1-DOM located at the estuarine position showed greater variation in the middle stage, probably due to human influence and sediment suspension. Fluorescence index (PI+II+IV,n/PIII+V,n and FIC4/FIC3) can be used to indicate the degree of humification of DOM in artificial lakes. Results of each index show that the estuary is more affected by human activities, and the humification degree is significantly lower than that of the center of the lake. The evaluation index system of the humification degree of artificial lake established in this study can effectively predict the eutrophication state of the typical area of artificial lake and deeply understand the possible important influence of human activities on the carbon cycle of lake.

Using machine learning to analyze mental health in distance education during the COVID-19 pandemic: an opinion study from university students in Mexico.

In times of lockdown due to the COVID-19 pandemic, it has been detected that some students are unable to dedicate enough time to their education. They present signs of frustration and even apathy towards dropping out of school. In addition, feelings of fear, anxiety, desperation, and depression are now present because society has not yet been able to adapt to the new way of living. Therefore, this article analyzes the feelings that university students of the Instituto Tecnológico Superior de Misantla present when using long distance education tools during COVID-19 pandemic in Mexico. The results suggest that isolation, because of the pandemic situation, generated high levels of anxiety and depression. Moreover, there are connections between feelings generated by lockdown and school performance while using e-learning platforms. The findings of this research reflect the students' feelings, useful information that could lead to the development and implementation of pedagogical strategies that allow improving the students' academic performance results.

German translation and psychometric evaluation of the Mental Health Literacy Scale (MHLS-GER) in a general population sample and in patients with acute myocardial infarction.

BACKGROUND: The Mental Health Literacy Scale (MHLS) is a scale-based measure with 35 items that assesses various aspects of mental health literacy. The original English version was developed in Australia and has been translated into several languages. The present study aimed to translate and culturally adapt the questionnaire for its use in Germany and to determine the psychometric properties of the German version of the MHLS (MHLS-GER) in two different samples. METHODS: After translation and cultural adaptation, the MHLS-GER was administered via an online survey in a general population sample and via a postal survey in patients with acute myocardial infarction (AMI). Exploratory factor analysis and confirmatory factor analysis were conducted to determine the dimensionality. Furthermore, internal consistency, known-groups-validity and measurement invariance were evaluated. RESULTS: Data of 517 participants of the general population sample and 786 participants of the AMI sample were analyzed. In both samples a four-factor structure yielded good model fit indices. The four subscales of the MHLS-GER including 31 items comprise the topics 'knowledge' (11 items), 'information seeking' (4 items), 'stigmatization' (9 items) and 'social distance' (7 items). All four subscales showed good internal consistency (Cronbach's alpha: 0.80 to 0.90, average inter-item correlation: 0.30-0.59) and were mostly invariant across the two samples. Participants with previous experience with mental disorders (personal or professional context) showed higher scores on the four subscales. CONCLUSION: In contrast to the unidimensional structure of the original version, the MHLS-GER comprises four subscales. All subscales showed acceptable to good psychometric properties and can now be used to assess mental health literacy. Further validation studies to evaluate test-retest-reliability and responsiveness are required.

The Central Sensitization Inventory Measures Thoughts and Emotions.

To determine if the Central Sensitization Inventory questionnaire (CSI) functions as a mental health measure among a cross-section of people seeking musculoskeletal specialty care, we asked: (1) What is the association of CSI total score and item groupings identified in factor analysis with mental health measures? and (2) What is the association between specific CSI items that represent each factor well and specific mental health measures? One hundred and fifty-seven adults seeking specialty care for musculoskeletal symptoms completed the CSI, a measure of catastrophic thinking, and 3 measures of distress (symptoms of health anxiety, general anxiety, and depression). Exploratory factor analysis was used to identify item groupings. Exploratory factor analysis identified 4 item groupings (factors): (1) thoughts and feelings (mental health), accounting for 52% of the variation in the CSI, (2) urinary and visual symptoms (15%) (3) body aches (10%), and (4) jaw pain (8.1%). More than half the variation in both the CSI total score (51%) and the thoughts and feelings factor (57%) were accounted for by variation in measures of catastrophic thinking and distress. Specific items that account for large amounts of the variation in the CSI also had notable correlations with mental health measures. The strong relationship between the CSI and thoughts and emotions suggests that the CSI functions largely as a mental health measure. If the concept of central sensitization is to help people get and stay healthy, it will depend on evidence that central sensitization can be measured and quantified distinct from mental health.

Validation of Scales for Researching Stakeholders' Attitudes Toward Domestic Violence in China.

Domestic violence (DV) is a significant concern within China. Currently, there are few standardized measurement tools to gauge Chinese stakeholders' perceptions and beliefs concerning DV. This research sought to validate tools to be used with such stakeholders. Factor analyses were utilized on cross-sectional, survey data from a purposive sample of 683 Chinese DV professionals working in four institutions in Guangdong. Analyses developed three scales for measuring DV Definitions, DV Attitudes, and DV Policing. The development of these scales is beneficial to advance the already growing research related to DV in China in ways that are relevant to the Chinese context.

Factor structure of the Chinese version of Emotion Regulation Goals Scale.

Recent studies in Western cultures suggested emotion regulation goals have important implications for mental health. This study aimed to test the factor structure of Emotion Regulation Goals Scale (ERGS) in a Chinese cultural context. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were first used to examine the factor structure of the ERGS, and then reliability and validity tests were conducted to examine the psychometric properties of the ERGS. Results showed that the original five-factor model demonstrated fit during both EFA and CFA, and was thus adopted for further psychometric analyses. Most of the five factors were significantly associated with emotion regulation tendencies and negative emotional outcomes (e.g., depression), except for the non-significant associations between pro-hedonic goals and expressive suppression, and pro-social and impression management goals with depression. The ERGS also showed good internal consistency and split-half reliability. However, the test-retest reliabilities varied substantially across the five factors. The pro-hedonic goal had a higher test-retest reliability, whereas the contra-hedonic, performance, pro-social, and impression management goals showed lower values, especially the latter two. In brief, the ERGS showed a promising five-factor structure in assessing emotion regulation goals in Chinese cultural context.

Model-based analysis to identify the impact of factors affecting electricity gaps during COVID-19: A case study in Germany.

The recent COVID-19 pandemic has precipitated drastic changes in economic and lifestyle conditions, significantly altering residual electricity demand behavior. This alteration has expanded the demand gap between actual and forecasted electricity usage based on pre-pandemic data, highlighting a critical global issue. Many studies in the pandemic have explored the features of this widening gap, which is impacted by major social events like fast virus spread and lockdowns. However, the influence of factors like economic shifts and lifestyle changes on this demand remains largely unexplored, primarily due to the pandemic's significant effects in these areas. Understanding the essential factors affecting the demand gap is crucial for stakeholders in the electricity sector to develop effective strategies. This study examines the hourly electricity consumption and related factors during the specified period. We present a method combining time-series forecasting and sparse modeling. This helps identify critical factors affecting the electricity demand gap during the pandemic, highlighting the most crucial variables. Utilizing this method, we identify the variables that have undergone significant changes during the pandemic and evaluate their effects on the electricity demand gap. The effectiveness is proven by applying it to the dataset collected in German.

Psychometrics of the Revised Nursing Stress Scale.

Occupational stress is one of the most impactful issues that nurses face, and it is critical to have instruments that can accurately measure occupational stress. However, existing widely used stress measures do not adequately reflect occupational stress in current practice. The aim of this study was to evaluate the reliability and validity of a revised occupational stress measure, the Revised Nursing Stress Scale. Reliability and validity were evaluated using confirmatory factor analysis, internal consistency reliability, convergent validity, and divergent validity. Confirmatory factor analysis demonstrated acceptable fit. All nine subscales had acceptable internal consistency reliability (αs ≥ 0.73 and ω ≥ 0.80). Convergent validity (r = 0.530, p < 0.01) and divergent validity (r = <0.30, 95% confidence intervals ranging from [-0.39 to -0.14] to [-0.32 to -0.06]) provided support for the scale. The Revised Nursing Stress Scale is an updated valid and reliable measure that is recommended for use when measuring occupational stress in hospital-based nurses.

Validity and Reliability of the Greek Version of Adult Vaccine Hesitancy Scale in Terms of Dispositional Optimism in a Community-Dwelling Population: A Cross-Sectional Study.

Vaccine hesitancy is an important public health issue referring to concerns about the safety and efficacy of vaccination. Within a framework, this study aimed to assess the cultural adaptation, validity, and reliability of the Greek version of the adult Vaccine Hesitancy Scale (aVHS) as well as to identify the determinants of vaccine hesitancy among a large regional population in central Greece. A cross-sectional study was conducted enrolling 300 adults who had received primary healthcare services in the Health Centers and Local Health Units of the Magnesia Region from October to December 2022. The aVHS and the Life Orientation Test-Revised (LOT-R) were used to identify vaccine hesitancy and the dispositional level of optimism, respectively. For survey translation, the procedure of forward and backward translation was followed. Also, the aVHS was tested in a pilot study with a sample of 18 responders. Construct validity and internal consistency reliability were investigated via exploratory and confirmatory factor analysis and Cronbach's alpha coefficients, respectively. Simple and multiple linear regression analysis were used to determine predictors for vaccine hesitancy. Factor analyses indicated that the aVHS comprises two constructs ("lack of confidence" and "risk perception") explaining 68.9% of the total variance. The Cronbach's alpha of the total scale was 0.884, indicating its high internal consistency. Participants who lived in rural areas, had a lower annual income, and reported a lower level of optimism showed a higher lack of confidence in vaccination. On the other hand, people aged above 45 years old who had graduated from high school or elementary school and were unemployed showed greater aversion to the risks of side effects. Finally, certain socio-demographic characteristics were associated with vaccine hesitancy. Our data suggest that the aVHS is a valid and reliable instrument for measuring vaccine-related attitudes and perceptions in Greek society, providing meaningful insight into designing vaccination-related preventive interventions in the community.

Psychometric Evaluation of the Decision Fatigue Scale among Korean Registered Nurses.

Nurses make decision for patients and the quality of nurses' decision making can affect patient outcomes. For some reason, nurses are experiencing impaired decision making and it can negatively impact patient care. A valid and reliable instrument to assess decision fatigue may let people know about the concept and guide the development of new policies or interventions for Korean nurses' decision fatigue. This study aimed to evaluate the psychometric properties of the Korean version of the decision fatigue scale. The design was a cross-sectional descriptive study and convenience sampling was used to recruit participants. A total of 247 nurses from across South Korea participated in an online survey. The survey consisted of demographic questionnaires, decision fatigue scale, nursing practice environment scale, and compassion fatigue scale. It was validated through confirmatory factor analysis that the Korean version of the decision fatigue scale was a single factor with the same structure as the original scale. The Korean version of the decision fatigue scale showed significant correlations with compassion fatigue, and the scale showed appropriate internal consistency. This study established well enough the psychometric characteristics of the Korean version of decision fatigue.