Knowledge, attitude, and practice about osteoporosis in women with osteoporosis in Iran.

To identify cancer distribution and treatment requirements, a questionnaire on cancer patients was conducted. It was our objective to validate a series of symptoms commonly used in traditional Chinese medicine (TCM). The M. D. Anderson Symptom Assessment Inventory (MDASI) was used with 10 more TCM items added. Questions regarding TCM application requested in cancer care were also asked. A multi-center, cross-sectional study was conducted in 340 patients from 4 hospitals in Beijing and Dalian. SPSS and Excel software were adopted for statistical analysis. The questionnaire was self-evaluated with the Cronbach's alpha score. The most common symptoms were fatigue 89.4%, sleep disturbance 74.4%, dry mouth 72.9%, poor appetite 72.9%, and difficulty remembering 71.2%. These symptoms affected work (89.8%), mood (82.6%), and activity (76.8%), resulting in poor quality of life. Eighty percent of the patients wanted to regulate the body with TCM. Almost 100% of the patients were interested in acquiring knowledge regarding the integrated traditional Chinese medicine (TCM) and Western medicine (WM) in the treatment and rehabilitation of cancer. Cronbach's alpha score indicated that there was acceptable internal consistency within both the MDASI and TCM items, 0.86 for MDASI, 0.78 for TCM, and 0.90 for MDASI-TCM (23 items). Fatigue, sleep disturbance, dry mouth, poor appetite, and difficulty remembering are the most common symptoms in cancer patients. These greatly affect the quality of life for these patients. Patients expressed a strong desire for TCM holistic regulation. The MDASI and its TCM-adapted model could be a critical tool for the quantitative study of TCM symptoms.

The development of Artificial Intelligence (AI) has transformed work cultures across the world, transforming age-old processes, patterns of decision-making, and forms of employment. Integration of AI is now an indispensable part of organizational competitiveness, effectiveness, and innovation. Nevertheless, this revolution has also introduced fears about employees' job security, mental health, and the effectiveness of organizational support systems in coping with technological disruption. The current study aims to examine the multi-faceted relationship between employees' awareness, attitudes, and flexibility towards AI, and the organizational support mechanisms' role in ensuring a seamless shift towards digital transformation. The study utilized a quantitative descriptive approach, surveying data from 233 employees across various industries such as information technology, education, healthcare, banking, and manufacturing. A standardized questionnaire was developed to capture four constructs —demographic details, attitude towards AI adoption, Usage of AI and support of the organization. Every construct had multiple items that were scored on a five-point Likert scale. The tool was validated for reliability through Cronbach's alpha scores are >0.8 for entire tool and also section wise, reflecting high internal consistency. Analysis of the data indicated that a large percentage of workers showed a moderate to high degree of awareness of AI technologies and tools. However, levels of awareness and attitudes were vastly different across industries. Technology-based industry respondents had higher familiarity and flexibility levels, while workers in conventional industries held fears regarding AI replacing human workers. These findings also highlighted the role played by organizational communication and support in molding positive employee attitudes. Where there were opportunities for upskilling, counseling, and involvement in decision-making processes involving AI integration, employees were more optimistic and psychologically resilient. Notably, the research determined that workers who viewed AI as an enhancement tool rather than a replacement tool were more engaged and less stressed. In addition, those who felt that their organizations thought through employee welfare and inclusion in the course of digital change showed better emotional readiness for AI-induced disruptions. On the other hand, ambiguity in AI implementation procedures, inadequate opportunities for training, and fear of job loss were associated with resistance and anxiety among some categories of employees. In total, the research provides important insights into the human side of AI transformation across industries. It creates the foundation that effective AI implementation is about balance—merging investment in technology with employee empowerment, mental health, and ethics. The findings hold significant implications for policymakers, HR professionals, and leaders that intend to align digital transformation with human-oriented organizational values

A circadian rhythm is any biological process that displays an endogenous, entrainable, oscillation of about 24 hours; the rhythms driven by a circadian clock and sleep have been widely observed in plants, animals, fungi and cyanobacteria. The main aim of the current study was to translate and validate the Morningness-Eveningness Questionnaire (MEQ) to Kannada (MEQ-K). The English version of MEQ was translated to Kannada using translation-back-translation method. Further it was given to 30 native Kannada speakers for content validation. The final MEQ-Kannada version was then administered on 93 normal native Kannada speakers. Statistical analysis was carried out using SPSS 17.0 software. Statistics such as mean, standard deviation and variance and reliability statistics such as Cronbach's alpha score as well as item-total correlation were obtained. RESULTS showed that, MEQ-K has a Cronbach's alpha score of 0.870 which is considered to be of good reliability. It was also observed that, even after deletion of any one item from the MEQ-K, the Cronbach's alpha score remained the same. From the current results it can be stated that, MEQ-K is a reliable tool that can categorize Kannada speaking population into various circadian types.

The aim of this study was to test the mediating role of the satisfaction of dental students' basic psychological needs of autonomy, competence and relatedness on the association between learning climate, feedback and student motivation. The latter was based on the self-determination theory's concepts of differentiation of autonomous motivation, controlled motivation and amotivation. A cross-sectional correlational study was conducted where 924 students completed self-reported questionnaires measuring motivation, perception of the learning climate, feedback and basic psychological needs satisfaction. Descriptive statistics, Cronbach's alpha scores and bivariate correlations were computed. Mediation of basic needs on each predictor-outcome association was tested based on a series of regression analyses. Finally, all variables were integrated into one structural equation model, controlling for the effects of age, gender and year of study. Cronbach's alpha scores were acceptable (.655 to .905). Correlation analyses showed positive and significant associations between both an autonomy-supportive learning climate and the quantity and quality of feedback received, and students' autonomous motivation, which decreased and became negative when correlated with controlled motivation and amotivation, respectively. Regression analyses revealed that these associations were indirect and mediated by how these predictors satisfied students' basic psychological needs. These results were corroborated by the structural equation analysis, in which data fit the model well and regression paths were in the expected direction. An autonomy-supportive learning climate and the quantity and quality of feedback were positive predictors of students' autonomous motivation and negative predictors of amotivation. However, this was an indirect association mediated by the satisfaction of students' basic psychological needs. Consequently, supporting students' needs of autonomy, competence and relatedness might lead to optimal types of motivation, which has an important influence on dental education.

Validation de la version française du Princess Margaret Hospital Patient Satisfaction with Doctor Questionnaire (PMH/PSQ-MD) : le F-PMH/PSQ MD

The study of alcohol use frequency utilizes alcohol-related cue imagery. Although a number of alcohol-image databases currently exist, they have several limitations: Many are not publicly available, some use stock images or clip art rather than real photographs, several eliminate any photographs displaying brand information, and predominantly they contain relatively few images. The aim of this project was to develop a large, open-access database of alcohol-related cue images, containing photographs with and without brand information, taken in real-world environments, with images in a variety of orientations and dimensions. The study collected 1,650 images voluntarily from the larger community, to capture photographs with a wide range of content, environments, and relation to alcohol. All images were then rated on scales of valence, arousal, and relation to alcohol by 1,008 Amazon Mechanical Turk workers, using classical emotion validation methods based on the International Affective Picture System (IAPS). Survey respondents were screened with the Alcohol Use Disorders Identification Test (AUDIT), and Cronbach's alpha scores were calculated to determine the interrater reliability of scores across the whole sample, and within low-risk, moderate-risk, and high-risk drinkers for each rating domain. Univariate ANOVAs were run to determine differences in ratings across drinking groups. All Cronbach's alpha scores indicated high interrater reliability within the whole sample, and across drinking severity groups. Tukey's HSD post hoc results indicated greater arousal and affect in response to image viewing in moderate- and high-risk drinkers, and higher relation-to-alcohol ratings in low-risk drinkers. All images had categorization tags assigned by members of the study team. The established imagery set includes 1,650 alcohol-related images, rated on scales of valence, arousal, and relation to alcohol, and categorized by type of alcohol depicted. The imagery database will be available for open-access download and use through Google Photos.

Escala de percepción ante crisis y pandemias: desarrollo y validación de una escala pedagógica

To examine the utility and validate the use of the Cardiac Depression Scale in patients who had first-time coronary artery bypass graft surgery. The Beck Depression Inventory, though frequently used, may not be sufficiently sensitive for use in cardiac patients. The Cardiac Depression Scale has been shown to identify the range of depression in medical cardiac patients. Survey. The Beck Depression Inventory and Cardiac Depression Scale were administered to 120 men at hospital discharge, as well as six, 12 and 36 weeks postoperatively. Cronbach's alpha scores were calculated for the measures at each point. Changes in scores over time were analysed using repeated measures analysis of variance. Associations between the measures scores were calculated using Pearson product-moment correlations. Agreement between the measures' dichotomised scores (depression/no depression) was examined using Cohen's Kappa statistic. Internal consistency was similar for the Beck Depression Inventory (0.793-0.904) and Cardiac Depression Scale (0.859-0.910). Depression scores decreased over time with the Beck Depression Inventory [F(2.50, 175.29) = 22.27, p < 0.001] and Cardiac Depression Scale [F(2.68, 190.37) = 13.18, p < 0.001]. The measures had similar power [Cohen's f = 0.65 (Beck Depression Inventory) and 0.43 (Cardiac Depression Scale)] to reveal changes over time. The continuous scores were highly correlated at each point [0.737 (p < 0.001)-0.819 (p < 0.001)]. However, when dichotomised scores were compared, the chance corrected level of agreement was less impressive [0.198 (p = 0.014)-0.381 (p < 0.001)]. The Cardiac Depression Scale may have utility for use with surgical cardiac patients. However, continued examination of this measure of depression is warranted. Given the prevalence of depression and its negative impact on coronary artery disease, it is important to identify even mild depression in cardiac patients. Using a measure of depression specifically for cardiac patients, rather than a generic measure, may best accomplish this goal.

Objective: To assess the reliability and validity of the COPE (Carers of Older People in Europe) index tool among the caregivers of dialysis-dependent patients in Pakistan.Study Design: Cross-sectional study.Place and Duration of Study: The study was conducted at the Dialysis Unit of Pakistan Kidney Patients Association Rawalpindi, Bahria International Hospital Rawalpindi and Fauji Foundation Hospital Rawalpindi, Pakistan, from December 2018 to January 2019. Methods: A 15-item COPE index questionnaire was administered, and data were collected from 124 caregivers of patients undergoing regular hemodialysis. A Principal Component Analysis (PCA) was performed on all items of the COPE index to retain the underlying components. Further, Cronbach's alpha was used to assess the internal consistency of the retained component structure and loadings obtained from the PCA and the entire instrument separately.Results: The PCA analysis revealed that, with the context of this study, the COPE index had good internal consistency for the negative aspects of caregiving and social support (Cronbach's alpha scores were 0.864 and 0.781, respectively). For the positive impact items, a Cronbach's alpha score of 0.655 indicated modest internal consistency. Cronbach's alpha of 0.714 for the entire 15 items indicated that the COPE index had good overall internal consistency in our study population.Conclusion: The COPE index was found to be a valid tool for use in Pakistan to assess the caregiver experience, including both positive and negative aspects of caregiving.&#x0D; How to cite this: Nasim S, Lowe NM, Moran VH, Dillon S, Zaheer S, Philp I. Reliability and Validity of the COPE Index among Caregivers of Hemodialysis Patients in Pakistan. Life and Science. 2023; 4(4): 393-400. doi: http://doi.org/10.37185/LnS.1.1.351&#x0D;

This study aims to explore the construct validity, dimensionality, and internal consistency of a new attitude scale for measuring cardiology trainees' attitudes towards clinical supervision. A multi-centred, cross-sectional study involving 388 Indonesian cardiology trainees from eight universities was conducted using convenience sampling. Twenty-nine items have been generated based on an extensive literature review and conceptual framework of effective clinical supervision. Ten clinical experts reviewed the items to ensure the Cardiology Clinical Supervision Scale (CCSS) adequately represents the construct under study. An exploratory factor analysis using principal axis factoring (PAF) with oblique rotation was run to identify the internal structure of the scale. Items with factor loading <0.50 were deleted. In addition, inter-item correlations and items' communalities were analysed. Each subscale's internal consistency was assessed using Cronbach's alpha score. The content validity index provided evidence for CCSS' validity (G-coefficient=0.71). Scrutinising the experts' comments, we finalised the scale to include 27 items. Further, four items were deleted due to low inter-item correlation and communality. PAF analysis resulted in a two-factor model comprising the "Supervisory Interaction and Facilitation" factor (n=10 items) and the "Role Modelling" factor (n=9 items); four items were deleted due to low factor loading. The Cronbach's alpha score for SIF and RM factors were 0.93 and 0.89, respectively. The study's results support the validity, internal structure, and internal consistency of the new clinical supervision scale for cardiology training. Further studies are required to investigate other validity and reliability evidence for CCSS, including its cross-cultural validity.

Opportunistic Osteoporosis Screening Using Low-Dose Computed Tomography (LDCT): Promising Strategy, but Challenges Remain.

This study aims to create a scale for measuring Holistic Student Development, addressing the limitations of traditional methods of student development focused on academic achievements. Using a mixed-methods approach, combining qualitative insights and quantitative analysis, the research designs an inclusive measurement tool. A standardized questionnaire with a “5-point Likert scale” was used to gather data from 577 students of HEIs in India. The Holistic Student Development Measurement Scale's (HSDMS) 0.94 Cronbach's alpha score indicated its reliability. Exploratory Factor Analysis (EFA) was used to analyse the data obtained from the structured questionnaire. The five dimensions of HSDMS—Physical Quotient (comprising Physical Wellbeing and Physical activities), Emotional Intelligence Quotient, Social Intelligence Quotient, Intelligence Quotient (comprising Academic Performance and Learning path), and Spiritual Intelligence Quotient—were discovered.

Introduction: Specific work characteristics have placed nurses as one of the professions with a high level of work-related stress. If not managed properly, work-related stress can cause adverse effects. Signs of stress can be seen in people's behavior, thinking or physical symptoms. One of a subjective measurement tool that is widely used to measure work-related stress is the Hamilton Anxiety Rating Scale (HAM-A), however, the literature that discusses the results of the HAM-A translation, validity and reliability test in the nurse profession is still limited. This study aims to translate HAM-A into the Indonesian version, then test its validity and reliability in nurses.Methods: A Cross-sectional study with stratified random sampling method was conducted on 98 nurses from July to August 2018. The English version of HAM-A consists of 14 items has been a translation into Indonesian version. Pearson Product Moment Correlation was used to evaluate the construct validity and Cronbach's alpha scores were used to assess the internal consistency reliability of the Indonesian version of HAM-A.Results: Item construct validity based on the Pearson correlation ranged from 0.529 to 0.727, Cronbach’s alpha reliability was obtained at 0.756.Conclusion:The Indonesian version of the HAM-A fulfills the criteria of a reliable (fair acceptable criteria) and valid (good criteria) assessment tool to assess the work-related stress in the nursing profession.

Introduction: Specific work characteristics have placed nurses as one of the professions with a high level of work-related stress. If not managed properly, work-related stress can cause adverse effects. Signs of stress can be seen in people's behavior, thinking or physical symptoms. One of a subjective measurement tool that is widely used to measure work-related stress is the Hamilton Anxiety Rating Scale (HAM-A), however, the literature that discusses the results of the HAM-A translation, validity and reliability test in the nurse profession is still limited. This study aims to translate HAM-A into the Indonesian version, then test its validity and reliability in nurses.Methods: A Cross-sectional study with stratified random sampling method was conducted on 98 nurses from July to August 2018. The English version of HAM-A consists of 14 items has been a translation into Indonesian version. Pearson Product Moment Correlation was used to evaluate the construct validity and Cronbach's alpha scores were used to assess the internal consistency reliability of the Indonesian version of HAM-A.Results: Item construct validity based on the Pearson correlation ranged from 0.529 to 0.727, Cronbach’s alpha reliability was obtained at 0.756.Conclusion:The Indonesian version of the HAM-A fulfills the criteria of a reliable (fair acceptable criteria) and valid (good criteria) assessment tool to assess the work-related stress in the nursing profession.

The objective of this study was to develop and to test the validity and reliability of a survey aimed to evaluate internal and external factors associated with college food insecurity. Researchers used a mixed methods approach to evaluate the College Perspectives around Food Insecurity survey. Survey items were constructed from interview data and assigned a social cognitive theory concept (environment, personal, or behavior). Two rounds of expert reviews established content validity (Round 1, n = 3; Round 2, n = 2). Researchers evaluated face validity through two rounds of cognitive interviews with college students 18+ years old (Round 1, n = 9; Round 2, n = 16) and tested survey reliability (n = 105). Researchers used descriptive statistics, test-retest reliability statistics, and Cronbach's alpha scores for data analysis. The initial survey contained 143 items. After feedback from expert reviewers and cognitive interviews, the final survey contained 99 items. Test-retest reliability was 0.99, and Cronbach's alpha scores were 0.74 for environment, 0.47 for personal, and 0.39 for behavior. The College Perspectives around Food Insecurity survey can be used to better understand internal and external factors associated with food insecurity in college students, which can inform interventions aimed at assisting this population.