scholarly journals Active ageing among elderly community members: structural equation modeling analysis

2020 ◽  
Vol 73 (suppl 3) ◽  
Author(s):  
Nayara Gomes Nunes Oliveira ◽  
Darlene Mara dos Santos Tavares
Keyword(s):  
Structural Equation Modeling ◽  
Health Services ◽  
Structural Equation ◽  
Structural Model ◽  
World Health ◽  
Equation Modeling ◽  
Active Ageing ◽  
Access To Health Services ◽  
Community Members ◽  
Cross Sectional

ABSTRACT Objective: to propose a structural model of active ageing among elderly community members based on the World Health Organization’s theoretical framework and to identify the most relevant determinants of active ageing to the proposed model. Methods: a cross-sectional and analytical study conducted with 957 elderly community members. Confirmatory factor analysis and structural equation modeling were performed. Results: the final measurement model was composed of the six determinants of active ageing: behavioral (R²=0.66); personal (R²=0.74); physical environment (R²=0.70); social (R²=0.77); economic (R²=0.44); and social and health services (R²=0.95). The last one showed good quality of adjustment: χ2/gl=3.50; GFI=0.94; CFI=0.92; TLI=0.90; RMSEA=0.05. By analyzing the trajectories between determinants and active ageing, the most representative was social and health services active ageing (λ=0.97; p<0.001). Conclusion: satisfaction with access to health services and positive self-assessment of health status were the factors that most contributed to active ageing in this population.

scholarly journals Stress and Its Impact on Academic and Social Life of Undergraduate University Students in Ghana: A Structural Equation Modeling Approach

2020 ◽  
Vol 2 (1) ◽  
pp. 37-44
Author(s):  
Koawo Edjah ◽  
Francis Ankomah ◽  
Ebenezer Domey ◽  
John Ekow Laryea
Keyword(s):  
Structural Equation Modeling ◽  
Undergraduate Students ◽  
Social Life ◽  
Structural Equation ◽  
Positive Impact ◽  
Survey Design ◽  
Equation Modeling ◽  
Cross Sectional Survey ◽  
Satisfaction Scale ◽  
Cross Sectional

AbstractStress is concomitant with students’ life and can have a significant impact on their lives, and even how they go about their academic work. Globally, in every five visits by patients to the doctor, three are stress-related problems. This study examined stress and its impact on the academic and social life among students of a university in Ghana. The descriptive cross-sectional survey design was employed. Using the stratified and simple random (random numbers) sampling methods, 500 regular undergraduate students were engaged in the study. A questionnaire made up of Perceived Stress Scale and Students’ Life Satisfaction Scale was used to gather data for the study. Frequencies, percentages, means and standard deviation, and Structural Equation Modeling (SEM), with AMOS were used for the analyses. It was found that majority of the students were moderately stressed. Paramount among the stressors were academic stressors, followed by institutional stressors, and external stressors. Stress had a significant positive impact on the academic and social life of students. It was concluded that undergraduate students, in one way or the other, go through some kind of stress during the course of their study. It was recommended that the university, through its Students’ Affairs, and Counselling Sections, continue to empower students on how to manage and deal with stress in order to enhance their academic life.

Teachers' digital technology access to motivation, skills and use: a structural equation modeling study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Akhmad Habibi ◽  
Mohd Faiz Mohd Yaakob ◽  
Amirul Mukminin ◽  
Muhaimin Muhaimin ◽  
Lantip Diat Prasojo ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Digital Technology ◽  
Structural Equation ◽  
Structural Model ◽  
Teaching Experience ◽  
Equation Modeling ◽  
Technology Access ◽  
School Location ◽  
Content Type ◽  
Instructional Use

PurposeThe current study aimed to develop and validate a scale to model factors affecting digital technology access for instructional use. The scale was mainly used to assess the structural model. Besides, tests of difference were addressed regarding digital technology access for instructional use based on gender, teaching experience and school location.Design/methodology/approachThe authors implemented a survey design in this study. A scale based on prior studies was developed, validated and piloted. The pilot study data were computed for an exploratory factor analysis. Further, partial least squares structural equation modeling (PLS-SEM) and t-test procedures were used for the main data analysis (n.2677). The authors also included the importance-performance map analysis to extend of the results of the PLS-SEM.FindingsThe findings of the study successfully assessed the validity and reliability of the scale. All hypothetical relationships in the structural model were positively significant. The t-test results show that teaching experience and school location were significantly different regarding instructional use access; however, an insignificant difference emerged based on gender.Practical implicationsFailure in technology integration is possible if policies have not been carefully prepared. Therefore, users' perception is an essential factor in determining technology integration, including access to digital technology.Originality/valueThis research has the potential to enhance the understanding of access to digital technology in the context of developing countries by the elaboration of the proposed model's instrument development and validation, path analysis assessment and difference test examination with a large sample size. Also, the current study emphasizes the importance of raising awareness about digital technology access that the model can facilitate a valid and reliable foundation for future researchers interested in conducting similar types of research.

scholarly journals Development of a System Measurement Model of the Brazilian Hospital Accreditation System

2018 ◽  
Vol 15 (11) ◽  
pp. 2520 ◽  
Author(s):  
João Corrêa ◽  
João Turrioni ◽  
Carlos Mello ◽  
Ana Santos ◽  
Carlos da Silva ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Equation Modeling ◽  
Scientific Software ◽  
Health Organizations ◽  
Hospital Accreditation ◽  
Management Quality ◽  
Culture Process

The purpose of this study is to develop and validate a measurement model that evaluates the Brazilian hospital accreditation methodology (ONA), based on a multivariate model using structural equation modeling (SEM). The information used to develop the model was obtained from a questionnaire sent to all organizations accredited by the ONA methodology. A model was built based on the data obtained and tested through a structural equation modeling (SEM) technique using the LISREL® software (Scientific Software International, Inc., Skokie, IL, USA). Four different tests were performed: Initial, calibrated, simulated, and cross-validation models. By analyzing and validating the proposed measurement model, it can be verified that the selected factors satisfy the required criteria for the development of a structural model. The results show that leadership action is one of the most important factors in the process of health services accredited by ONA. Although, leadership, staff management, quality management, organizational culture, process orientation, and safety are strongly linked to the development of health organizations, and directly influence the accreditation process.

scholarly journals Risk Assessment of Ex-Post Transaction Cost in Construction Projects Using Structural Equation Modeling

2018 ◽  
Vol 10 (11) ◽  
pp. 4017 ◽  
Author(s):  
Zaigham Ali ◽  
Fangwei Zhu ◽  
Shahid Hussain
Keyword(s):  
Structural Equation Modeling ◽  
Life Cycle ◽  
Transaction Cost ◽  
Life Cycle Cost ◽  
Structural Equation ◽  
Construction Projects ◽  
Structural Model ◽  
Equation Modeling ◽  
Ex Post ◽  
Industry Professionals

The transaction cost (TC) escalation is the pervasive problem in the construction industry, which is continuously a threat to maintaining the life cycle cost of projects. Researchers have described the reality of risk for economic transactions. This study has taken the risk as a phenomenon to explore its influence on ex-post TC in construction projects. A questionnaire survey was undertaken from industry professionals to assess the risk of ex-post TC escalation in public-sector construction projects. In total, 475 surveys were conducted in Pakistan and used in the analysis. The data were analyzed using structural equation modeling (SEM) and the measurement and structural model was validated to determine the influence of risk on ex-post TC. The final SEM results show that internal and external risk, including sub hypothesized risks, positively influence TC. The weight of relative importance shows technical risk (23.82%) and environmental risk (22.88%) as significant sub-contributors from internal and external sources, respectively. This study recommends substantial investment in human capacity development to reduce the deficiencies in the ex-ante phase of the projects that help to reduce the risk of ex-post TC escalation. It also suggests the adoption of strict policies on contingency claims, and recommends nontraditional ways of monitoring to overcome the risk of ex-post TC. This study’s results provide valuable information for industry professionals and practitioners to maintain life cycle costs as a contribution to sustainable construction.

scholarly journals Implementation of Online Hospitals and Factors Influencing the Adoption of Mobile Medical Services in China: Cross-Sectional Survey Study (Preprint)

2020 ◽  
Author(s):  
Huanlin Wang ◽  
LanYu Liang ◽  
ChunLin Du ◽  
YongKang Wu
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Western China ◽  
Medical Services ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Medical Resources ◽  
Hypothesis Model ◽  
Effort Expectancy ◽  
Willingness To Use

BACKGROUND Online hospitals are part of an innovative model that allows China to explore telemedicine services based on national conditions with large populations, uneven distribution of medical resources, and lack of quality medical resources, especially among residents needing to be protected from COVID-19 infection. OBJECTIVE In this study, we built a hypothesis model based on the unified theory of acceptance and use of technology in order to analyze the factors that may influence patients’ willingness to use mobile medical services. This research was designed to assist in the development of mobile medical services. Residents who do not live in urban areas and cannot access medical assistance would greatly benefit from this research, as they could immediately go to the online hospital when needed. METHODS A cross-sectional study based at the West China Hospital, Sichuan University, was conducted in July 2020. A total of 407 respondents, 18 to 59 years old, in Western China were recruited by convenience sampling. We also conducted an empirical test for the hypothesis model and applied structural equation modeling to estimate the significance of path coefficients so that we could better understand the influencing factors. RESULTS Out of 407 respondents, 95 (23.3%) were aware of online hospitals, while 312 (76.7%) indicated that they have never heard of online hospitals before. Gender (<i>P</i>=.048) and education level (<i>P</i>=.04) affected people’s willingness to use online hospitals, and both of these factors promoted the use of online hospitals (odds ratio [OR] 2.844, 95% CI 1.010-8.003, and OR 2.187, 95% CI 1.031-4.636, respectively). According to structural equation modeling, the results of the path coefficient analysis indicated that performance expectancy, effort expectancy, and facilitating conditions have positive effects on patients’ willingness to use online hospitals. CONCLUSIONS The goal of our research was to determine the factors that influence patients’ awareness and willingness to use online hospitals. Currently, the public’s awareness and usage of online hospitals is low. In fact, effort expectancy was the most important factor that influenced the use of online hospitals; being female and having a high education also played positive roles toward the use of mobile medical services.

scholarly journals Loneliness, Emotion Dysregulation, and Internalizing Symptoms During Coronavirus Disease 2019: A Structural Equation Modeling Approach

2021 ◽  
Vol 11 ◽  
Author(s):  
Patrizia Velotti ◽  
Guyonne Rogier ◽  
Sara Beomonte Zobel ◽  
Rosetta Castellano ◽  
Renata Tambelli
Keyword(s):  
Structural Equation Modeling ◽  
Los Angeles ◽  
Internalizing Symptoms ◽  
Emotion Dysregulation ◽  
Structural Equation ◽  
Demographic Data ◽  
Clinical Intervention ◽  
Equation Modeling ◽  
Emotional States ◽  
Cross Sectional

Background: Our study aimed to test the hypotheses that an increased level of loneliness experienced during coronavirus disease 2019 (COVID-19) confinement was predictive of internalizing symptoms and that this pathway was mediated by emotion dysregulation levels.Methods: To reach this aim, we performed an online longitudinal survey recruiting 1,330 participants at Time 1 (at the beginning of the lockdown) and 308 participants at Time 2 (few days before the end of the lockdown). All filled out a set of questionnaires: demographic data, University of California, Los Angeles Loneliness scale, Difficulties in Emotion Regulation Scale−18 items, and Depression Anxiety and Stress Scale−21 items. Hypotheses were tested using structural equation modeling in two steps and controlling for age. First, hypotheses were tested on cross-sectional data. Then, a cross-lagged panel analysis was performed on longitudinal data.Results: Models obtained a good fit and evidenced the predictive role of loneliness levels on the three outcomes (i.e., depression, anxiety, and stress). Moreover, we found that emotion dysregulation levels partially mediated the longitudinal relationship between loneliness and both depression and stress but not between loneliness and anxiety levels.Conclusions: This study points out that a central goal of clinical intervention could be the ability to regulate negative emotional states.

scholarly journals Workplace Violence Against Chinese Frontline Clinicians During the COVID-19 Pandemic and Its Associations With Demographic and Clinical Characteristics and Quality of Life: A Structural Equation Modeling Investigation

2021 ◽  
Vol 12 ◽  
Author(s):  
Yuan Yang ◽  
Yue Li ◽  
Ying An ◽  
Yan-Jie Zhao ◽  
Ling Zhang ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Structural Equation Modeling ◽  
Workplace Violence ◽  
Structural Equation ◽  
Emotional Disturbances ◽  
World Health ◽  
Equation Modeling ◽  
Life Questionnaire ◽  
World Health Organization Quality

Background: Workplace violence is a major concern for clinicians worldwide. There has been little data on the epidemiology of workplace violence against frontline clinicians during the COVID-19 pandemic. This study examined the pattern of workplace violence and its association with quality of life (QOL) against frontline clinicians during the outbreak of COVID-19 pandemic in China.Methods: A cross-sectional online study was conducted in China between March 15 and March 20, 2020. Frontline clinicians' experience with workplace violence was measured with six standardized questions derived from the Workplace Violence Scale, while anxiety, depressive, and insomnia symptoms, and QOL were measured using the General Anxiety Disorder Questionnaire, the Patient Health Questionnaire, the Insomnia Severity Index, and the World Health Organization Quality of Life Questionnaire, respectively. Univariate analyses, multivariable logistic regression analyses, and structural equation modeling (SEM) were conducted.Results: A total of 15,531 clinicians completed the assessment; 2,878 (18.5, 95% CI = 17.92–19.14%) reported workplace violence during the outbreak of the COVID-19 pandemic (verbal violence: 16.1%; physical violence: 6.9%). According to multivariable models, key correlates of workplace violence were male gender, longer work experience, higher education level, smoking, working in the psychiatry or emergency department, working in tertiary hospitals, being involved in direct care of infected patients, having infected family/ friends/ colleagues, and frequently using social communication programs. Clinicians working in inpatient departments were less likely to report workplace violence compared to those working in outpatient departments. SEM analysis revealed that both violence and emotional disturbances (anxiety, depression, and insomnia) directly affected QOL (standardized direct effect = −0.031, and −0.566, respectively, P &lt; 0.05), while emotional disturbances partly mediated the association between work violence and QOL (standardized indirect effect = −0.184, P &lt; 0.05).Conclusion: Frontline clinicians were vulnerable to workplace violence during the COVID-19 pandemic. Due to the negative impact of workplace violence on quality of care and clinicians' QOL, health authorities and policymakers should take effective measures to reduce workplace violence against clinicians.

An Analysis of the World Health Organization Disability Assessment Schedule 2.0 Measurement Model Using Partial Least Squares–Structural Equation Modeling

Assessment ◽  
2019 ◽  
Vol 27 (8) ◽  
pp. 1731-1747 ◽  
Author(s):  
Saundra M. Tabet ◽  
Glenn W. Lambie ◽  
Shiva Jahani ◽  
S. Mostafa Rasoolimanesh
Keyword(s):  
Structural Equation Modeling ◽  
World Health Organization ◽  
Structural Equation ◽  
Measurement Model ◽  
World Health ◽  
Equation Modeling ◽  
Disability Assessment ◽  
Whodas 2.0 ◽  
The World ◽  
Health Organization

The researchers examined the factor structure and model specifications of the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) with confirmatory tetrad analysis (CTA) using partial least squares–structural equation modeling (PLS-SEM) with a sample of adult clients ( N = 298) receiving individual therapy at a university-based counseling research center. The CTA and PLS-SEM results identified the formative nature of the WHODAS 2.0 subscale scores, supporting an alternative measurement model of the WHODAS 2.0 scores as a second-order formative–formative model.

Moral Disengagement: Mediator Between Moral Perfectionism and Machiavellian Behavior Among Undergraduates?

2020 ◽  
pp. 003329412096406
Author(s):  
Abbas Abdollahi ◽  
Fatemeh Hashemi ◽  
Hamid Rezaeian Faraji ◽  
Simin Hosseinian ◽  
Kelly A. Allen
Keyword(s):  
Structural Equation Modeling ◽  
Undergraduate Students ◽  
Structural Equation ◽  
Moral Disengagement ◽  
Structural Model ◽  
Two Dimensions ◽  
Equation Modeling ◽  
Moral Standards ◽  
The Relationship ◽  
Moral Perfectionism

To better understand Machiavellian behavior among undergraduate students, the current study examines moral disengagement as a mediator in the relationship between Machiavellian behavior and two dimensions of moral perfectionism (concern over moral mistakes perfectionism and personal moral standards perfectionism). Participants were 210 undergraduate students (64% female) from three universities in Tehran, Iran, aged between 18 and 27 years old. Structural equation modeling revealed that Machiavellian behavior was negatively associated with personal moral standards perfectionism and positively associated with moral disengagement. The results of the structural model showed a non-significant relationship between concern over moral mistakes perfectionism and Machiavellian behavior. However, multi-model analysis provided evidence that moral disengagement partially mediated the relationship between personal moral standards perfectionism and Machiavellian behavior. The findings also showed that there was a relationship between concern over moral mistakes perfectionism and Machiavellian behavior through moral disengagement. The results suggest that while moral perfectionism is often accompanied with moral disengagement, Machiavellian behavior may be an explanation for individuals with these traits.

Sign in / Sign up

Export Citation Format

Share Document