Predictors of Falling in Older Maryland Drivers: A Structural-Equation Model

2006 ◽  
Vol 14 (3) ◽  
pp. 254-269 ◽  
Author(s):  
David E. Vance ◽  
Karlene K. Ball ◽  
Daniel L. Roenker ◽  
Virginia G. Wadley ◽  
Jerri D. Edwards ◽  
...  
Keyword(s):  
Older Adults ◽  
Physical Functioning ◽  
Latent Variables ◽  
Structural Equation ◽  
Fear Of Falling ◽  
Equation Model ◽  
Equation Modeling ◽  
Prevention Interventions ◽  
Reduced Mobility

Falls can impair health and reduce quality of life among older adults. Although many factors are related to falling, few analyses examine causal models of this behavior. In this study, factors associated with falling were explored simultaneously using structural-equation modeling. A variety of cognitive, physical-performance, and health measures were administered to 694 older adult drivers from the state of Maryland. The observed and latent variables of age, cognitive ability, physical functioning, health, and falling behavior were used to create a causal model. The model revealed that being older was associated with declines in cognition, and such cognitive declines predicted increased falling. Similarly, poorer health was related to poorer physical functioning, which, in turn, also predicted increased falling. This model indicates that in addition to existing fall-prevention interventions aimed at improving physical functioning, interventions to improve cognition and health might also be effective. It is speculated that fear of falling, which often results in reduced mobility among older adults, might account for the lack of a direct relationship between age and falling. This hypothesis should be examined in further research.

scholarly journals Multiple Linear Regression-Structural Equation Modeling Based Development of the Integrated Model of Perceived Neighborhood Environment and Quality of Life of Community-Dwelling Older Adults: A Cross-Sectional Study in Nanjing, China

2019 ◽  
Vol 16 (24) ◽  
pp. 4933 ◽  
Author(s):  
Fan Zhang ◽  
Dezhi Li
Keyword(s):  
Quality Of Life ◽  
Older Adults ◽  
Structural Equation ◽  
Daily Life ◽  
Community Dwelling ◽  
Neighborhood Environment ◽  
Equation Modeling ◽  
Community Dwelling Older Adults ◽  
Perceived Neighborhood Environment

Due to the poor functioning in daily living activities, community-dwelling older adults spend more time in their neighborhood environment. The perceived neighborhood environment is crucial to their quality of life (QoL). To explore the complex influences of perceived neighborhood environment on QoL, a questionnaire was designed to measure their perception of each factor of neighborhood environment and each domain of QoL. Based on collected data, the reliability test was applied to revise the questionnaire. Multiple linear regression (MLR) and structural equation modeling (SEM) were adopted to hypothesize and test the integrated model for community-dwelling older adults. The results show that community-dwelling older adults’ perceptions of neighbor support, facilities related to physical exercise and recreation, and accessibility to facilities impact their overall QoL with diverse coefficients of 0.437, 0.312, and 0.295, respectively; neighbor support (0.207) on physical health; sidewalk condition (0.134), natural environment (0.260), and facilities related to daily life (0.165) on psychological health; and neighbor support (0.298), facilities related to daily life (0.206), and design-related safety (0.225) on social relationship. This revealed that perceptions of neighborhood environment have diverse impacts on their QoL. This study can provide targeted retrofit strategies for communities to enhance QoL of community-dwelling older adults efficiently.

scholarly journals Cyberchondria severity and quality of life among Lebanese adults: the mediating role of fear of COVID-19, depression, anxiety, stress and obsessive–compulsive behavior—a structural equation model approach

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Clara Rahme ◽  
Marwan Akel ◽  
Sahar Obeid ◽  
Souheil Hallit
Keyword(s):  
Quality Of Life ◽  
Structural Equation ◽  
Equation Model ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Obsessive Compulsive ◽  
Online Questionnaire ◽  
Cross Sectional ◽  
Compulsive Disorder

Abstract Background This study highlights the significant association between cyberchondria and quality of life among the Lebanese population in the time of COVID-19. The aim was to assess the association between cyberchondria and quality of life (QOL) of Lebanese community during the COVID-19 pandemic and assess the mediating effect of fear of COVID-19, depression, anxiety, stress and Yale-Brown Obsessive–Compulsive Scale in this association. Methods This cross-sectional study was carried out between December 2020 and January 2021, during the COVID-19 pandemic. A total of 449 persons participated in this study by filling the online questionnaire. Structural equation modeling (SEM) was performed to examine the structural relationship between cyberchondria severity, the mediator (anxiety, stress, depression, obsessive–compulsive disorder (OCD) and fear of COVID-19) and physical/mental QOL. Results Having a university level of education and older age were significantly associated with higher physical QOL scores, whereas higher obsession-compulsion disorder, higher stress and higher anxiety were significantly associated with lower physical QOL scores. Higher anxiety was significantly associated with lower mental QOL scores. The results of the SEM showed that stress, fear of COVID-19 and to a lesser limit OCD, mediated the association between cyberchondria severity and physical QOL, whereas anxiety, stress and fear of COVID-19 mediated the association between cyberchondria severity and mental QOL. Conclusion This research reported interesting results encouraging more exploration of cyberchondria and its association with quality of life during this unique period of the pandemic. However, this virus has altered the lives of individuals all across the world, and the consequences will last for a long time. Along with all of the steps done to stop the development of COVID-19 and improve physical outcomes, mental health requires immediate care. More research is needed to determine the coping techniques people are employing to deal with the pandemic.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMENGARUHI KEPUASAN LAYANAN AKADEMIK MAHASISWA PRODI DIPLOMA I KEPABEANAN DAN CUKAI

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Agus Sriyanto
Keyword(s):  
Service Quality ◽  
Student Satisfaction ◽  
Latent Variables ◽  
Structural Equation ◽  
Positive Impact ◽  
Positive Influence ◽  
Equation Modeling ◽  
Policy Makers ◽  
Five Dimensions

ABSTRACT:Improving the quality of education becomes very important nowadays to meet the increasing demands of graduates’ future institutions. This research adopts five dimensions of service quality initiated by Parasuraman, Zeithaml and Berry (servqual) to assess the quality of academic services affecting student satisfaction. Once the determinants are known, they can be used by policy makers to improve student satisfaction levels. After identifying the determinant factors, policy makers can use them to improve the level of satisfaction of students. There are 100 respondents who participated in this research. The data was collected using surveys and analyzed using structural equation modeling with Smart PLS 3.0. The results showed that among five hypotheses tested, all variables have the positive influence, however, there are two latent variables which have significant associations, while the others have not. Responsiveness and empathy have positive and significant impact on the student satisfaction, while tangible, reliability and assurance have a positive impact but not significant. Keywords: customs student satisfaction, service quality, servqual, SEM.ABSTRAK:Meningkatkan kualitas pendidikan menjadi sangat penting dewasa ini untuk memenuhi tuntutan kebutuhan unit pengguna yang semakin meningkat. Penelitian ini mengadopsi lima dimensi kualitas jasa yang digagas oleh Parasuraman, Zeithaml dan Berry (Servqual) untuk menilai kualitas layanan akademik yang mempengaruhi kepuasan mahasiswa. Setelah faktor-faktor penentu dari dimensi servqual dapat diketahui maka faktor-faktor tersebut dapat digunakan oleh pembuat kebijakan untuk meningkatkan tingkat kualitas layanan kepada mahasiswa. Ada 100 responden di pilih secara acak dari total populasi yang berpartisipasi dalam penelitian ini. Data dikumpulkan dengan menggunakan survei online dan dianalisis dengan pemodelan persamaan struktural dengan bantuan software Smart PLS 3.0. Hasil penelitian ini menunjukkan bahwa dari kelima dimensi servqual, semua variabel memiliki pengaruh positif terhadap kepuasan mahasiswa, namun dari lima variabel tersebut hanya dua variabel laten yang mempunyai pengaruh signifikan, sementara tiga variabel yang lain tidak signifikan. Daya tanggap dan empati berpengaruh positif dan signifikan terhadap kepuasan siswa, sedangkan bukti fisik, keandalan dan jaminan memiliki dampak positif namun tidak signifikan.Kata Kunci: kepuasan, Mahasiswa Bea dan Cukai, kualitas layanan, Servqual, SEM                  

A structural equation model for big data adoption in the healthcare supply chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dindayal Agrawal ◽  
Jitender Madaan
Keyword(s):  
Factor Analysis ◽  
Big Data ◽  
Supply Chain ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Model ◽  
Equation Modeling ◽  
Data Governance ◽  
Social Perspective ◽  
Content Type

PurposeThe purpose of this study is to examine the barriers to the implementation of big data (BD) in the healthcare supply chain (HSC).Design/methodology/approachFirst, the barriers concerning BD adoption in the HSC were found by conducting a detailed literature survey and with the expert's opinion. Then the exploratory factor analysis (EFA) was employed to categorize the barriers. The obtained results are verified using the confirmatory factor analysis (CFA). Structural equation modeling (SEM) analysis gives the path diagram representing the interrelationship between latent variables and observed variables.FindingsThe segregation of 13 barriers into three categories, namely “data governance perspective,” “technological and expertise perspective,” and “organizational and social perspective,” is performed using EFA. Three hypotheses are tested, and all are accepted. It can be concluded that the “data governance perspective” is positively related to “technological and expertise perspective” and “organizational and social perspective” factors. Also, the “technological and expertise perspective” is positively related to “organizational and social perspective.”Research limitations/implicationsIn literature, very few studies have been performed on finding the barriers to BD adoption in the HSC. The systematic methodology and statistical verification applied in this study empowers the healthcare organizations and policymakers in further decision-making.Originality/valueThis paper is first of its kind to adopt an approach to classify barriers to BD implementation in the HSC into three distinct perspectives.

scholarly journals Factors That Influence Older Canadians’ Preferences for using Autonomous Vehicle Technology: A Structural Equation Analysis

2019 ◽  
Vol 2673 (1) ◽  
pp. 469-480 ◽  
Author(s):  
Hany M. Hassan ◽  
Mark R. Ferguson ◽  
Saiedeh Razavi ◽  
Brenda Vrkljan
Keyword(s):  
Quality Of Life ◽  
Older Adults ◽  
Urban Areas ◽  
Autonomous Vehicles ◽  
Structural Equation ◽  
Well Being ◽  
Transportation Systems ◽  
Equation Modeling ◽  
Willingness To Use

Accessible and safe mobility is critical for those aged 65 years and older to maintain their health, quality of life, and well-being. Being able to move beyond one’s home and participate in activities in older adulthood requires consideration of both transportation needs and preferences. This paper aims to address a gap in evidence with respect to understanding factors that can affect older adults’ perceptions and willingness to use autonomous vehicles. In addition, it examines how these factors compare with those of younger adults to better understand the potential implications of this technology on mobility and quality of life. Using responses of those aged 65+ to a national survey of Canadians, structural equation modeling (SEM) was used to identify and quantify factors significantly associated with older adults’ willingness to use autonomous vehicles. The SEM results suggest that factors such as using other modes of transit (e.g., sharing rides as passenger, bicycle, public transit, commuter rail, ride and car sharing) as well as distance traveled by automobile, income, gender (being male), and living in urban areas, were all positively associated with older adults’ perceptions of using autonomous driving features. The findings also suggest that older Canadians are more concerned about autonomous vehicles than younger Canadians. This study provides valuable insights into factors that can affect the preferences of Canadians when it comes to autonomous technology in their automobiles. Such results can inform the way in which transportation systems are designed to ensure the needs of users are considered across both age and ability.

scholarly journals Bayesian structural equation modeling for post treatment health related quality of life among tuberculosis patients

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0252205
Author(s):  
Mahalingam Vasantha ◽  
Malaisamy Muniyandi ◽  
Chinnaiyan Ponnuraja ◽  
Ramalingam Srinivasan ◽  
Perumal Venkatesan
Keyword(s):  
Quality Of Life ◽  
Latent Variables ◽  
Structural Equation ◽  
Well Being ◽  
Monte Carlo Algorithm ◽  
Equation Modeling ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

Background The use of Bayesian Structural Equation Model (BSEM) to evaluate the impact of TB on self-reported health related quality of life (HRQoL) of TB patients has been not studied. Objective To identify the factors that contribute to the HRQoL of TB patients using BSEM. Methods This is a latent variable modeling with Bayesian approach using secondary data. HRQoL data collected after one year from newly diagnosed 436 TB patients who were registered and successfully completed treatment at Government health facilities in Tiruvallur district, south India under the National TB Elimination Programme (NTEP) were used for this analysis. In this study, the four independent latent variables such as physical well–being (PW = PW1-7), mental well-being (MW = MW1-7), social well-being (SW = SW1-4) and habits were considered. The BSEM was constructed using Markov Chain Monte Carlo algorithm for identifying the factors that contribute to the HRQoL of TB patients who completed treatment. Results Bayesian estimates were obtained using 46,300 observations after convergence and the standardized structural regression estimate of PW, MW, SW on HRQoL were 0.377 (p<0.001), 0.543 (p<0.001) and 0.208 (p<0.001) respectively. The latent variables PW, MW and SW were significantly associated with HRQoL of TB patients. The age was found to be significantly negatively associated with HRQoL of TB patients. Conclusions The current study demonstrated the application of BSEM in evaluating HRQoL. This methodology may be used to study precise estimates of HRQoL of TB patients in different time points.

scholarly journals Analysis of Halal Certification Renewal Service Quality and Their Effect on the Customer’s Satisfaction and Loyalty in Yogyakarta (Case Study in Meatball Stall)

2021 ◽  
pp. 372-383
Author(s):  
Jumeri Jumeri ◽  
Khosyani ◽  
Falah M.A.F
Keyword(s):  
Structural Equation Modeling ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Customer Loyalty ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Modeling ◽  
Satisfaction Index

The society awareness in consuming halal, safe, and healthy foodstuff within these past few years kept on increasing. This was closely related to responsible food manufacturers which produced sustain halal foods, as evidenced by ownership halal certification. In order to increase the satisfaction of food producers and to maintain their commitment to extend the halal certificates, the quality of halal authority service should always be enhanced. This study aims to identify the Customer Satisfaction Index (CSI) value, to determine the influence of halal label and product attributes toward customer’s satisfaction and loyalty of meatball stalls in Yogyakarta, and to identify the influence of halal label toward selling volume on certified meatball stalls. The instruments used were questionnaires containing 21 quality attributes of halal certificate renewal service. Analyses were performed using Structural Equation Modeling (SEM). The model was composed of seven latent variables: halal certification, brand, price, taste, service, customer satisfaction and customer loyalty. Result of the research showed that taste and halal certification have significant effect on the customer’s satisfaction and loyalty of certified meatball stalls. Halal certification have affected the certified meatball stalls in Yogyakarta by increasing the selling volume of 25-37.5%.

scholarly journals Influences of Project Management Capabilities on the Organizational Performance of the Saudi Construction Industry

2019 ◽  
Vol 9 (3) ◽  
pp. 4144-4147 ◽  
Author(s):  
H. A. Sulieman ◽  
F. A. Alfaraidy
Keyword(s):  
Project Management ◽  
Organizational Performance ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Model ◽  
Equation Modeling ◽  
Construction Enterprises ◽  
Construction Organizations ◽  
Set Up ◽  
Management Capabilities

This paper aims to study the relations between construction enterprises’ project management capabilities and organizational performance. A questionnaire survey was administered to 89 Saudi construction contracting organization administrative members. Data were obtained from 32 projects that were held during the last two years and were analyzed using structural equation modeling (SEM). It was hypothesized in this study that a construction organizational performance is influenced by project management capabilities within the enterprise. A structural equation model was set up to measure the above two latent variables through their constituent variables. This study introduced a method to measure performance both in qualitative and quantitative terms. The strong path coefficients between the constructs of the model are an indication that after decades in pursuit of finding ways to improve the performance of construction organizations, subjective dimensions of performance have proven to be as effective as the traditional objective dimensions.

scholarly journals An Integrated Structural Equation Model of eHealth Behavioral Intention

2020 ◽  
Vol 15 (1) ◽  
pp. 20-39
Author(s):  
Gayle Prybutok ◽  
Anh Viet Ta ◽  
Xiaotong Liu ◽  
Victor Prybutok
Keyword(s):  
Learning Process ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Social Cognitive ◽  
Integrated Model ◽  
Equation Model ◽  
Equation Modeling ◽  
Personal Factors ◽  
Path Coefficients

eHealth offers promising tools and services to manage and improve the quality of health as well as the potential to provide accessible health information all over the world. The relatively low adoption rates among eHealth users motivates us to develop an integrated model to explain the learning process and provide essential antecedents of eHealth behavioral intention. The integrated model is empirically tested by using different structural equation modeling (SEM) methods, including partial least squares SEM (PLS-SEM), PLSc, and covariance-based SEM (CB-SEM). The model successfully explains the learning process and provides essential antecedents of eHealth behavioral intention. The findings support the interplay of social, cognitive, and personal factors that impact 18-30-year-old users' learning process related to eHealth behavioral intention. The results empirically show that these three types of SEM techniques provide consistent results with respect to path coefficients and coefficients of determination. The findings indicate that CB-SEM and PLS-SEM provide adverse consequences of interaction-term path coefficients.

scholarly journals Pengaruh Variabel Kualitas Sistem Informasi Terhadap Kepuasan Pengguna Sistem Informasi Model EUCS

2019 ◽  
Vol 3 (1) ◽  
pp. 23-28
Author(s):  
Erick Sorongan ◽  
Hilmansyah Hilmansyah ◽  
Hadiyanto Hadiyanto
Keyword(s):  
Information System ◽  
Quality Of Service ◽  
User Satisfaction ◽  
Latent Variables ◽  
Structural Equation ◽  
Structural Model ◽  
Equation Model ◽  
System Quality ◽  
External Variable

The application of information systems with various types of convenience offered can reflect the quality of service of an organization, the quality of service can be said to be very good if the service meets the needs and expectations of users. This kind of evaluation can be done by applying a tested model but problems arise when latent variables in the method used are not fully able to identify factors that influence user satisfaction. From the results of research using the end user satisfaction model, the R-Square value is 0.653, which means that 65.3% of user satisfaction can be found through latent variables found in the EUCS model while the remaining 34.7% can be explained through external variables. This study aims to analyze external factors outside the EUCS model, one of which is by using the information system quality variables contained in the Delone and Mclane information system success model. The way to do this is to add an external variable to the EUCS model and then analyze the outer model and analyze the structural model using the structural equation model. The results showed that the independent system quality variable has a t-statistic value of 3.445 or greater than t-table 1.96 which means that the external latent variables of the Delone and Mclean model can be used to explain the satisfaction factors (from the external variable side) of the user information system on the EUCS model.

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