The Hidden Cost of Long Working Hours: Occupational Anxiety and Argumentativeness in Emergency Nurses.

Edible insects have been suggested as a more sustainable source of protein, but their consumption varies according to geographical and sociocultural influences. Focusing on the different aspects that can influence people’s attitudes towards edible insects (EI), this work aimed to carry out the statistical validation of an instrument aimed at assessing different dimensions of this field: the KPEI (knowledge and perceptions about EI) scale. The instrument consists of 64 questions distributed by the following dimensions: Culture and Tradition, Gastronomic Innovation and Gourmet Kitchen, Environment and Sustainability, Economic and Social Aspects, Commercialization and Marketing, Nutritional Characteristics, and Health Effects. The data were collected in 13 countries (Croatia, Greece, Latvia, Lebanon, Lithuania, Mexico, Poland, Portugal, Romania, Serbia, Slovenia, Spain, and Turkey). The validation of the KPEI scale was made through Confirmatory Factor Analysis (CFA) and Structural Equation Modelling (SEM). The results revealed two acceptable models, both retaining 37 of the 64 initial items, distrusted by the seven dimensions as: Culture and Tradition (5 items), Gastronomic Innovation and Gourmet Kitchen (5 items), Environment and Sustainability (8 items), Economic and Social Aspects (5 items), Commercialisation and Marketing (4 items), Nutritional Aspects (6 items), Health Effects (4 items). Both multifactorial models resulting from the CFA/SEM analyses showed approximately equal goodness of statistical fit indices with values of Root Mean Square Error of Approximation (RMSEA), Root Mean Square Residual (RMR), and Standardized Root Mean Square Residual (SRMR) partially zero and values of Goodness of Fit Index (GFI) and Comparative Fit Index (CFI) approximately one, i.e., very close to a perfect fit. For the first-order model, the ratio between chi-square and degrees of freedom is χ2/df = 13.734, GFI = 0.932, CFI = 0.930, RMSEA = 0.043, RMR = 0.042, SRMR = 0.042; and for the second-order model χ2/df = 14.697, GFI = 0.926, CFI = 0.923, RMSEA = 0.045, RMR = 0.047, SRMR = 0.046). The values of composite reliability (CR = 0.967) and mean extracted variance (MEV = 0.448) are indicative of a good fit. Finally, the reliability analysis indicated a very good internal consistency (Cronbach’s α = 0.941). These results confirm the successful validation of the KPEI scale, making it a valuable instrument for future application at the international level.

Development and psychometric evaluation of the self-care of informal caregivers inventory

Background: Despite an increasing number of studies among breast cancer survivors, little is known about how socio-behavioral factors influence the symptom experience of racial/ethnic minority breast cancer survivors, especially Asian American breast cancer survivors. The identified socio-behavioral factors could give directions for development of unique intervention components that are tailored to a specific population in needs. Purpose: This study examined the relationship of multiple socio-behavioral factors including attitudes, perceived barriers, social influences, and self-efficacy to the symptom experiences of Asian American breast cancer survivors. Methods: This secondary analysis was conducted using data collected from 195 Asian American female breast cancer survivors. Subjects were recruited from January 2017 to June 2020 through online and offline communities and groups. The study variables were measured using validated instruments such as the Questions on Attitudes, Self-Efficacy, Perceived Barriers, and Social Influences (QASPS); the Cancer Behavior Inventory (CBI); and the Memorial Symptom Assessment Scale-Short Form (MSAS-SF). The hypothetical model was built based on Bandura’s self-efficacy theory. Mediation analysis was conducted using structural equation modeling with SPSS version 26.0 and Amos 28. Results: The overall fitness of the hypothetical model to the data was acceptable (χ2=51.36, p<.001, the goodness of fit index [GFI] = .95, adjusted GFI [AGFI] = .89, comparative fit index [CFI] = .96, Tucker-Lewis index [TLI] = .94, normed fit index [NFI] = .94, and root mean square error of approximation [RMSEA] = .08 Attitude and perceived barrier and social influence had a significant direct effect on self-efficacy (direct effect, β = 0.247, p =.003; β = -0.552, p =.003; β = 0.241, p =.002, respectively). Attitudes indirectly influenced symptom distress scores through self-efficacy (β =-0.054, p = .019). Perceived barriers had a significant direct effect (β = 0.605, p=.003), indirect effect (indirect effect, β = 0.121, p =.024), and a total effect on symptom distress scores (total effect, β = 0.726, p =.004). In addition, social influence had an indirect effect on symptom distress scores through self-efficacy (β = -0.053, p = .017) Conclusions: The findings supported that the self-efficacy for coping had a mediating effect on their symptom experience among Asian American breast cancer survivors as well as identified meaningful associations with attitudes, perceived barriers and social influences and symptom experience. Future research and practice should consider socio-behavioral factors, especially self-efficacy, in symptom management of Asian American breast cancer survivors. Acknowledgments: The parent study was funded by the National Institutes of Health (NCI/NINR; 1R01CA203719). Citation Format: Seo Yun Kim, Heejung KIM, Wonshik Chee, Eun-ok Im. The relationship of socio-behavioral factors to the symptom experience of Asian American breast cancer survivors: a structural equation model [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 2 (Clinical Trials and Late-Breaking Research); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(8_Suppl):Abstract nr LB145.

To examine the reliability and validity of the Geriatric Depression Scale-15 (GDS-15) and the Patient Health Questionnaire-9 (PHQ-9) for evaluating depression in older adults. A total of 1546 participants aged ≥60 years were investigated face-to-face with the PHQ-9 and GDS-15 anonymously. Internal consistency reliability was evaluated with Cronbach's α, and structural equation modeling was used to study the construct validity of the scale. Logistic regression was used to discusses the impact of demographic characteristics on the scale. The consistency rate between the GDS-15 and PHQ-9 was 96.10%. The Cronbach's α and split-half reliability in the scales were >0.7. The model fit indices χ2 /df., comparative fit index and root mean square error of approximation in the GDS-15 were 2.769, 0.815 and 0.077, respectively. The minimum fit function χ2 in the PHQ-9 model was 93.742, with 27 df., the comparative fit index was acceptably low (comparative fit index 0.837) and the root mean square error of approximation was acceptably high (root mean square error of approximation 0.118). Item standardized path regression coefficients of the GDS-15 model varied between 0.07 and 0.76, among which the coefficients of item 2 and item 9 were 0.12 and 0.07, respectively. Whereas in the PHQ-9, the item standardized path regression coefficients were high (r > 0.45), except for item 3 (r = 0.34). The GDS-15 was affected by urban-rural distribution (OR = 2.104, P = 0.027), whereas the PHQ-9 was affected by sex (OR = 4.266, P = 0.007). The similar psychometric performance of the PHQ-9, along with its ease of use and relative brevity, makes it attractive compared with the longer GDS-15 for use in Chinese older adults, whereas the influence of sex distribution on the PHQ-9 should be paid attention to. Geriatr Gerontol Int 2020; 20: 138-143.

Martin and Petrie developed the Vaccine Attitudes Examination (VAX) scale with an aim to document general vaccination attitudes. Vaccine acceptance plays an important role in curbing COVID-19 infections. Thus, it was important to assess vaccination attitudes of Pakistani people towards novel COVID-19 vaccines. The VAX scale was not available in Urdu language for Pakistani population. The study aimed to carry out cross-cultural adaptation and validation of an Urdu version of the Vaccine Attitude Examination (VAX) scale in a selected population sample from Pakistan. A cross sectional study was conducted in September 2021 in an outpatient department of a healthcare facility in Karachi, Pakistan. Adult visitors, eligible for COVID-19 vaccine and spoke Urdu as first language were invited. Convenient sampling was used, and sample size was based on an item response ratio of 1:20. An Urdu version of the VAX scale was developed. The reliability was assessed using Cronbach's alpha (α) and intraclass correlation coefficient (ICC). The model fitness was evaluated using confirmatory factor analysis (CFA) and fit indices namely goodness of fit index (GFI), adjusted goodness of fit index (AGFI), Tucker Lewis index (TLI), comparative fit index (CFI), and root mean square error of approximation (RMSEA). A structural equation model (SEM) was also developed. IBM SPSS and AMOS were used to analyse the data. The study had ethical clearance. A total of 211 responses were analysed. The reliability (Cronbach's α) was 0.821. The ICC was 0.831 (95% CI: 0.795-0.863). CFA using a 4-factor model revealed the following values for fit indices; GFI = 0.944, AGFI = 0.909, TLI = 0.953, CFI = 0.966, and RMSEA = 0.051. All values reported were in the acceptable range. The VAX Urdu version is a reliable and valid instrument for use in an Urdu speaking population and will enable clinicians to assess the public's attitude towards general vaccination including COVID-19 vaccination. Clinicians can use the VAX-U to document a person's vaccine hesitancy and tailor their counselling to address the issues in vaccine uptake.

Background: There is no medication adherence scale available in Sindhi language currently. Hence, the Sindhi speaking population will either use a translator or provide their medical history in another language for documentation of medical conditions. This poses a challenge in monitoring and evaluating adherence to medications within this linguistic community.Aim: The aim of this study was to translate and validate the Sindhi version of the General Medication Adherence Scale (GMAS-S) in patients with chronic diseases.Methods: This was a cross-sectional study of 4 months duration and was conducted in out-patient department of a university affiliated hospital in Karachi, Pakistan. All adults with chronic diseases, who were on long-term medications, and able to read and understand Sindhi language were invited. Convenience sampling was employed and a questionnaire consisting of demographic questions and the Sindhi version of GMAS was used. The translation of the scale was carried out. Confirmatory factor analysis (CFA) was conducted, and a structural equation model (SEM) was developed. Fit indices, namely, goodness of fit index (GFI), adjusted goodness of fit index (AGFI), Tucker Lewis index (TLI), comparative fit index (CFI), and root mean square error of approximation (RMSEA) were reported. Reliability was assessed using Cronbach’s alpha (α), intraclass correlation coefficient (ICC), corrected item-to-total correlation (ITC) and item deletion. Data were analysed through IBM SPSS version 23 and IBM AMOS version 25. The study obtained ethical clearance.Results: A total of 150 responses were analysed. The reliability of the Sindhi version of GMAS was (α) = 0.696. The intraclass correlation coefficient (ICC) was reported at 0.696 (95% CI: 0.618–0.763). The values for the fit indices were as follows: χ2/df = 1.84, GFI = 0.918, TLI = 0.920, CFI = 0.942, AGFI = 0.864, and RMSEA = 0.075. All values except AGFI were in the acceptable ranges and indicated good fitness. Most participants (80.7%) appeared non-adherent to their medications.Conclusion: The results of the study demonstrate that the Sindhi version of the GMAS is a valid and reliable scale to measure adherence in Sindhi speaking persons with chronic diseases.

Bootstrapping approximate fit indexes in structural equation modeling (SEM) is of great importance because most fit indexes do not have tractable analytic distributions. Model-based bootstrap, which has been proposed to obtain the distribution of the model chi-square statistic under the null hypothesis (Bollen & Stine, 1992), is not theoretically appropriate for obtaining confidence intervals (CIs) for fit indexes because it assumes the null is exactly true. On the other hand, naive bootstrap is not expected to work well for those fit indexes that are based on the chi-square statistic, such as the root mean square error of approximation (RMSEA) and the comparative fit index (CFI), because sample noncentrality is a biased estimate of the population noncentrality. In this article we argue that a recently proposed bootstrap approach due to Yuan, Hayashi, and Yanagihara (YHY; 2007) is ideal for bootstrapping fit indexes that are based on the chi-square. This method transforms the data so that the “parent” population has the population noncentrality parameter equal to the estimated noncentrality in the original sample. We conducted a simulation study to evaluate the performance of the YHY bootstrap and the naive bootstrap for 4 indexes: RMSEA, CFI, goodness-of-fit index (GFI), and standardized root mean square residual (SRMR). We found that for RMSEA and CFI, the CIs under the YHY bootstrap had relatively good coverage rates for all conditions, whereas the CIs under the naive bootstrap had very low coverage rates when the fitted model had large degrees of freedom. However, for GFI and SRMR, the CIs under both bootstrap methods had poor coverage rates in most conditions.

Evaluation of the psychometric properties of the Brazilian version of the Digital Health Literacy Instrument for individuals with heart failure

AddictionVolume 111, Issue 10 p. 1884-1884 CorrigendumFree Access Corrigendum This article corrects the following: Measurements in the Addictions for Triage and Evaluation (MATE): an instrument based on the World Health Organization family of international classifications Gerard M. Schippers, Theo G. Broekman, Angela Buchholz, Maarten W.J. Koeter, Wim Van Den Brink, Volume 105Issue 5Addiction pages: 862-871 First Published online: March 10, 2010 First published: 07 September 2016 https://doi.org/10.1111/add.13532AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Measurements in the Addictions for Triage and Evaluation (MATE): an instrument based on the World Health Organization family of international classifications Gerard M. Schippers, Theo G. Broekman, Angela Buchholz, Maarten W.J. Koeter and Wim van den Brink The Methods and Techniques paper by Schippers et al. 1, published in the May 2010 issue of Addiction, contained incorrect text. On page 867, ‘Characteristics of the MATE-ICN’ section, the first part reads: The factor structure of the MATE-ICN was assessed using different proposed models. Examination of the fit indices revealed that a model with one general factor and two domain factors, which was consistent with one of the proposed models, provided the best fit to the data: χ2 = 725.875 (df 135), goodness-of-fit index (GFI) = 0.915, adjusted goodness-of-fit index (AGFI) = 0.892, comparative fit index (CFI) = 0.844, Tucker-Lewis Index (TLI) = 0.823 and root mean square error of approximation (RMSEA) = 0.069. Unfortunately, the figures in this section are wrong. The text should read: The factor structure of the MATE-ICN was assessed using different proposed models. Examination of the fit indices revealed that a model with one general factor and two domain factors, which was consistent with one of the proposed models, provided the best fit to the data: χ2 = 353.396 (df 93), goodness-of-fit index (GFI) = 0.955, adjusted goodness-of-fit index (AGFI) = 0.934, comparative fit index (CFI) = 0.923, Tucker-Lewis Index (TLI) = 0.901 and root mean square error of approximation (RMSEA) = 0.054. These errors do not in any way influence the conclusions or the discussion of the paper. Nevertheless, the authors apologize for this mistake. Reference 1Schippers G. M., Broekman T. G., Buchholz A., Koeter M. W. J., van den Brink W. Measurements in the Addictions for Triage and Evaluation (MATE): an instrument based on the World Health Organization family of international classifications. Addiction 2010; 105; 862– 71. Volume111, Issue10October 2016Pages 1884-1884 ReferencesRelatedInformation

Background The coronavirus disease pandemic has substantially altered the mode of medical education, transitioning it from in-person to online. Online learning requires a strong motivational foundation to support self-directed studying. In our previous study, an adapted 31-item Japanese motivation measurement scale using the motivational section from the Japanese version of the Motivated Strategies for Learning Questionnaire (J-MSLQ) was developed. The present study aimed to collect evidence on the validity of the motivation section of the J-MSLQ and clarify whether further revision was necessary. Methods The motivation section of the J-MSLQ comprises a seven-point Likert scale survey containing 31 items. Of 127 fourth-year Japanese medical students invited to participate, 112 responded. Confirmatory factor analysis with structural equation modeling (SEM) was performed using R and R studio for all data analysis. Results The initial SEM model that incorporated all 31 items exhibited inadequate goodness of fit metrics: χ2 = 823.674 (p < 0.001), the comparative fit index (CFI) = 0.786, the root mean square error of approximation (RMSEA) = 0.093, the standardized root mean square residual (SRMR) = 0.112, the goodness of fit index (GFI) = 0.664, and the adjusted goodness of fit index (AGFI) = 0.602. We optimized the scale by eliminating 12 items with a Z test statistic < 10. Improvements in the goodness of fit metrics of the optimized SEM model were observed, demonstrating moderate model fit: χ2 = 205.602 (p < 0.001), CFI = 0.929, RMSEA = 0.080, SRMR = 0.063, GFI = 0.837, AGFI = 0.768. Conclusions A compact 18-item version of the motivation scale was developed and validated, which alleviated the respondent burden and enabled the researchers to collect data in a shorter time.

ABSTRACTObjective:To analyze the reliability, validity and internal consistency of the physical activity social support (SSS) and self-efficacy (SES) scales among adolescents aged 10–14 years.Methods:The reliability study included 171 adolescents (mean age=12.3±1.0 years, 59.6% female) and validity and consistency study with 1,107 (mean age=12.0±1.0 years, 52.7% female). The SSS had 15 items and the SES eight items. Reliability was determined by Spearman's correlation analysis (rho) and validity and internal consistency by factor analysis (exploratory — EFA and confirmatory — CFA) and the composite reliability (CR), respectively.Results:The reliability of SSS (father: rho=0.80; p<0.001 | mother: rho=0.76; p<0.001 | friends: rho=0.75; p<0.001) and SES (rho=0.72; p<0.001) were considered high. In the EFA, three factors were identified for the SSS (father, mother and friends — five items each) and one factor for SES (five items), confirmed in the CFA. Quality parameters of adjustment in the final models were satisfactory for SSS (chi-square=240.5 [p<0.001]; root mean square residual — RMR=0.05; root mean square error of approximation — RMSEA=0.04 [90%CI 0.04–0.05]; goodness of fit index — GFI=0.97; adjusted goodness of fit index — AGFI=0.96 and comparative fit index — CFI=0.97) and SES (chi-square=5.4 [p=0.07]; RMR=0.01; RMSEA=0.04 [90%CI 0.00–0.08]; GFI=0.99; AGFI=0.99 and CFI=0.97). Internal consistency was considered satisfactory for SSS (CR: father=0.79, mother=0.77, friends=0.78) and low for SES (CR=0.38).Conclusions:The scales showed satisfactory levels of reliability and of construct validity. However, only the SSS showed adequate levels of internal consistency.%

The Patient Health Questionnaire-9 (PHQ-9) has been widely used to screen depression symptoms. The present research aimed to assess the reliability and validity of PHQ-9, besides measurement invariance of the PHQ-9 across gender and age among Chinese university students. A total of 12,957 Chinese college students from 2 universities in Henan and Hainan provinces (China) completed the questionnaires via WeChat. This research reported the psychometric properties of PHQ-9 and measurement invariance of the PHQ-9 across gender and age among Chinese university students. Compared with 1-factor model, the 2-factor (affective factor and somatic factor) model of PHQ-9 showed a better fit index in Chinese university students. Without the last 2 items, the 2-factor model of the PHQ-9 showed satisfactory reliability, validity, and good fit index (e.g., Root mean square error of approximation = 0.060, Goodness-of-fit index = 0.982, Comparative fit index = 0.986, and Tucker-Lewis index = 0.974). The Cronbach's alpha of PHQ-9 was 0.874. Multi-group analysis across gender and age demonstrated that measurement equivalency for the 2-factor model of the PHQ-9 was established (e.g., Root mean square error of approximation < 0.08, Comparative fit index > 0.90 and Tucker-Lewis index > 0.90). The 2-factor model of the PHQ-9 without the items of "movement" and "desire to die" showed a better fit index in Chinese university students. The measurement equivalence across gender and age for the 2-factor model of the PHQ-9 can be established among Chinese university students.

BackgroundFatigue is one of the most prevalent and disabling symptoms among patients with Rheumatoid Arthritis (RA). However, it is also one of the most neglected by health professionals. Much of...

This research aims to investigate factor affecting and causal relationship of the supply chain collaborative and supply chain performance measurement model for the Thai frozen shrimp chain by using integrated method between a structural equation modeling (SEM) and an analytical network process (ANP), which the method confirmed and proved the construction of the framework and identified causal relationship of supply chain collaboration to the important key performance indicators of the chain from 220 supply chain members' point of views. The result shows a completed SEM model that it represents a path between criteria in each latent variable and also showed factor loading score between SCC and SCPM. The parameter estimation used maximum likelihood estimation and model fitting to evaluate the degree. From the SEM analysis, the CMIN/d f is 0.982 and χ2 = 74. The root mean square error of approximation (RMSEA) was 0.000 at 95% CI, which is less than 0.080. This indicates a good fit and reaches an acceptable level. With a comparative fit index (CFI) of 0.999 and a goodness of fit index (GFI) of 0.958, it represents the overall goodness of fit of the GFI model, which is higher than 0.90. Therefore, the model can be acceptably conceptualized as a causal relationship construct model significantly.

Objectives: To determine the relationship between drivers of psychological climate and employee engagement considering the workforce who are a part of IT industries in Mysuru and Bengaluru region in India. Methodology: A cross-sectional survey method was adopted for obtaining the required data. Exploratory Factor Analysis, Confirmatory Factor Analysis, Structural Equation Modelling were adopted for examining and analyzing the data. Data was elicited through 445 respondents having their career in various IT industries in Mysuru and Bengaluru region between May 2022 to September 2022. Findings: Structural Equation Modelling analysis reveals that, the fit indices values were admissible. The model fit indices values that were recorded are: Chi- Square Statistics (CMIN/DF) = 2.845; Goodness of Fit index (GFI) = 0.982; Adjusted Goodness of Fit Index (AGFI) = 0.937; Incremental Fit Index (IFI) = 0.963; Tucker – Lewis’s Index (TLI) = 0.900; Comparative Fit Index (CFI) = 0.962; Root Mean Square Error of Approximation (RMSEA) = 0.073. The prominent drivers of Psychological Climate were identified as - Cooperative Work Environment (CWE); Supervisor Facilitation and Support (SS); Job Training and Support (JT) and Organizational Regulations (ROP). The identified factors resulted to have a relationship with Employee Engagement. Novelty: The important drivers of Psychological Climate essential at workplace were identified. The research outcome provides insight for the business managers to significantly focus on the psychological climate factors perceived by employees and build a better working environment. Keywords: Psychological Climate; Employee Engagement; Business Enterprises; Workforce; Structural Equation Modelling