scholarly journals The Good Life: Assessing the Relative Importance of Physical, Psychological, and Self-Efficacy Statuses on Quality of Well-Being in Osteoarthritis Patients

Arthritis ◽  
2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Charles Van Liew ◽  
Maya S. Santoro ◽  
Arielle K. Chalfant ◽  
Soujanya Gade ◽  
Danielle L. Casteel ◽  
...  
Keyword(s):  
Psychological Distress ◽  
Self Efficacy ◽  
Latent Variables ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Well Being ◽  
Model Quality ◽  
Assessment Period ◽  
Physical Dysfunction

Background and Purpose. The purpose of the present study was to examine the interrelationships among physical dysfunction, self-efficacy, psychological distress, exercise, and quality of well-being for people with osteoarthritis. It was predicted that exercise would mediate the relationships between physical dysfunction, self-efficacy, psychological distress, and quality of well-being. Methods. Participants were 363 individuals with osteoarthritis who were 60 years of age or older. Data were collected from the baseline assessment period prior to participating in a social support and education intervention. A series of structural equation models was used to test the predicted relationships among the variables. Results. Exercise did not predict quality of well-being and was not related to self-efficacy or psychological distress; it was significantly related to physical dysfunction. When exercise was removed from the model, quality of life was significantly related to self-efficacy, physical dysfunction, and psychological distress. Conclusions. Engagement in exercise was directly related to physical functioning, but none of the other latent variables. Alternatively, treatment focused on self-efficacy and psychological distress might be the most effective way to improve quality of well-being.

Clarifying the Factor Structure of the Self-Compassion Scale

2021 ◽  
Author(s):  
Noelle J. Strickland ◽  
Raquel Nogueira-Arjona ◽  
Sean Mackinnon ◽  
Christine Wekerle ◽  
Sherry H. Stewart
Keyword(s):  
Factor Structure ◽  
Lower Order ◽  
Latent Variables ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Well Being ◽  
The Self ◽  
Self Compassion ◽  
The Hierarchical Structure ◽  
Compassion Scale

Abstract. Self-compassion is associated with greater well-being and lower psychopathology. There are mixed findings regarding the factor structure and scoring of the Self-Compassion Scale (SCS). Using confirmatory factor analysis, we tested and conducted nested comparisons of six previously posited factor structures of the SCS. Participants were N = 1,158 Canadian undergraduates (72.8% women, 26.6% men, 0.6% non-binary; Mage = 19.0 years, SD = 2.3). Results best supported a two-factor hierarchical model with six lower-order factors. A general self-compassion factor was not supported at the higher- or lower-order levels; thus, a single total score is not recommended. Given the hierarchical structure, researchers are encouraged to use structural equation models of the SCS with two latent variables: self-caring and self-coldness. A strength of this study is the large sample, while the undergraduate sample may limit generalizability.

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.

The relationship between self-efficacy and health-related quality of life in Multiple Sclerosis patients

2015 ◽  
Vol 3 (3) ◽  
pp. 303
Author(s):  
Silvia Testa ◽  
Giorgia Molinengo ◽  
Alessandra Oggero ◽  
Antonio Bertolotto ◽  
Rosalba Rosato
Keyword(s):  
Quality Of Life ◽  
Multiple Sclerosis ◽  
Self Efficacy ◽  
Structural Equation ◽  
Structural Equation Models ◽  
General Measure ◽  
Related Quality ◽  
Multiple Sclerosis Patients ◽  
The Relationship

Background and Objectives Multiple sclerosis (MS) has a broad spectrum of physical, social, psychological effects and significant impact on quality of life (QoL). Several studies has showed the importance of self-efficacy as a predictor of QoL in patients with MS.This study aims at evaluating the robustness of the relationship between self-efficacy and QoL. Specifically it aims to test whether such relation will vanish under the following conditions: using a general measure of self-efficacy and controlling for level of impairment defined as a broad construct dealing with physical, social and working changes due to the illness condition. Methods One hundred-fifty five participants responded to a questionnaire, including QoL and general self-efficacy measures, socio demographic and clinical variables. Two nested structural equation models that differ for the presence or absence of the path connecting self-efficacy and QoL was estimated.Results and Conclusions The hypothesis of the vanishing of the relationship between self-efficacy and QoL had to be rejected. These results support the genuineness of this relation and emphasize the importance of interventions promoting self-efficacy to improve QoL in chronic diseases such as MS. From a methodological perspective this study is an example of the usefulness of formative indicators in QoL studies.

scholarly journals data output artikel bali 2018

2018 ◽  
Author(s):  
ivasarifah
Keyword(s):  
Elementary School ◽  
Elementary School Teachers ◽  
Self Efficacy ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Cognitive Test ◽  
School Teachers ◽  
Confirmatory Factor ◽  
Data Output

This study aims to analyze the effect of self-efficacy belief and knowledge in constructing tests on the quality of teacher in making mathematical cognitive test instruments. Data was conducted to 100 elementary school teachers. Analysis of this study using statistical Confirmatory Factor Analysis techniques is then calculated by The Estimate of Structural Equation Models (SEM). This study found that the role of self-efficacy beliefs and constructive knowledge had a significant impact on the quality of mathematical cognitive test instruments made by elementary school teachers.

scholarly journals data artikei ictest 2018

2018 ◽  
Author(s):  
ivasarifah
Keyword(s):  
Elementary School ◽  
Elementary School Teachers ◽  
Self Efficacy ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Cognitive Test ◽  
School Teachers ◽  
Analysis Techniques

This study aims to analyze thee ffect of self-efficacy belief and knowledge in constructing tests on thequality of teacher in making mathematical cognitive test instruments. Data was conducted to 100 elementary school teachers. Analysis of this study using statistica lConfirmatory Factor Analysis techniques is then calculated by The Estimate of Structural Equation Models (SEM). This study found that the role of self-efficacy beliefs and constructive knowledge had a significant impact on the quality of mathematical cognitive test instruments made by elementary school teachers.

scholarly journals Effect of Self-Efficacy on Quality of Life in People With Mild Cognitive Impairment and Mild Dementia: The Mediating Roles of Depression and Anxiety

2020 ◽  
Vol 35 ◽  
pp. 153331751988526 ◽  
Author(s):  
Johanne B. Tonga ◽  
Dag-Erik Eilertsen ◽  
Ingrid K. Ledel Solem ◽  
Espen A. Arnevik ◽  
Maria S. Korsnes ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Self Efficacy ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Depression And Anxiety ◽  
Mediating Effects ◽  
Mild Dementia

Objectives: To examine the mediating effects of depression and anxiety in the relationship between self-efficacy and quality of life among people with mild cognitive impairment (MCI) or mild dementia. Method: A total of 196 patients diagnosed with MCI or dementia due to Alzheimer disease completed structured measures of self-efficacy, quality of life, and depressive and anxiety symptoms. We examined direct and mediated effects by fitting structural equation models to data. Results: Our analyses supported that the effects of self-efficacy on quality of life may be partially mediated by depression and anxiety. Both anxiety and depression had significant mediating effects, with depression showing a stronger effect. Conclusion: These results suggest that increased self-efficacy may have a positive effect on quality of life in people with MCI or dementia—partly by reducing depression and anxiety. These findings may have important practical implications for tailoring therapeutic interventions.

scholarly journals The Perception of the Generational Assessment of Selected Social Behaviour – A Confirmatory Factor Analysis

2020 ◽  
Vol 20 (2) ◽  
pp. 346-360
Author(s):  
Agnieszka Stanimir
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Research Problem ◽  
Factors Affecting ◽  
Confirmatory Factor ◽  
The Stability ◽  
The Given

Abstract Research background: The search for stable factors affecting latent variables that reflect the assessment of quality of life in three areas of an individual’s functioning is the background of the study. In the analysis was assumed the existence of the relationships between QoL assessment and subjective factors related to socio-economic aspects. Purpose: The aim of the study was to recognize assessments in given areas of transferring subjective satisfaction with a level of social factors and checking the stability of the assumed relationship between factors describing three areas of functioning: household, country of residence, EU. The next goal was to compare the results obtained in the study of natural relationships between factors with the given systems of these factors in the areas of an individual’s functioning. Characteristics of behaviour were compared in three generations of Europeans. The application objective of the study was to indicate the usefulness of SEM in the research problem. Research methodology: The Standard Eurobarometer, autumn 2018, provided data describing adults from the generations Y, X, and BB. Structural equation models were used. Results: The effect of the used method is the determination of the factors that affect the assessments made by three European Generations in the areas of an individual’s functioning: direct, close and further. Novelty: The analysis showed the usefulness of structural equation models to achieve the goals of the study.

scholarly journals Influence of VFR Tourism on the Quality of Life of the Resident Population

2020 ◽  
Vol 11 (20) ◽  
pp. 60-73
Author(s):  
Alfonso González Damián ◽  
Alma Rosa Macías Ramírez
Keyword(s):  
Quality Of Life ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Local Population ◽  
Well Being ◽  
Economic Benefits ◽  
Cross Sectional ◽  
Tourism Destinations ◽  
The Impact

The aim of this document is to report on characteristics of VFR travel, the perceived impacts of these trips, and their effects on the quality of life of the resident community. Cozumel, an international insular tourist destination in Mexico, is taken as case of study. Data were obtained from a cross-sectional observational study, driven by survey conducted in Cozumel to characterize VFR trips, using an instrument that has been previously tested in other destinations and a composite scale was constructed to measure perceived quality of life by means of a survey administered to a sample of Cozumel residents. Structural equation models were used to test the influence of the social impacts perceived by the population on their quality of life. The movement of VFR travellers to Cozumel is significant, although their main expenses are not used in commercial accommodation. Community and economic impacts are perceived as significant by the population, whereas the impact on mobility and local transportation is perceived as negative. The direct and positive influence of economic benefits on the quality of life of local population was significant, whereas community-related and transportation-related impacts were significant only for residents who were not visited by friends or relatives. The main implications of these findings lead to the need to examine, in greater detail, the quality of life of residents in tourism destinations receiving VFR travelers. Thus, the main contribution of this paper, is to figure out that it is not the same to receive visitors than to observe others receiving them, not just in economic terms, but in terms of emotional and community well-being. This contrast is very likely to be confirmed in studies carried out in other international tourism destinations around the world.

scholarly journals Connecting Climate and Communicable Disease to Penta Helix Using Hierarchical Likelihood Structural Equation Modelling

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 657
Author(s):  
Rezzy Eko Caraka ◽  
Maengseok Noh ◽  
Rung-Ching Chen ◽  
Youngjo Lee ◽  
Prana Ugiana Gio ◽  
...  
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Healthy Lifestyle ◽  
Communicable Disease ◽  
Well Being ◽  
Equation Modeling ◽  
Human Beings ◽  
The Sustainable Development ◽  
Healthcare Facilities ◽  
Hierarchical Likelihood

Design: Health issues throughout the sustainable development goals have also been integrated into one ultimate goal, which helps to ensure a healthy lifestyle as well as enhances well-being for any and all human beings of all social level. Meanwhile, regarding the clime change, we may take urgent action to its impacts. Purpose: Nowadays, climate change makes it much more difficult to control the pattern of diseases transmitted and sometimes hard to prevent. In line with this, Centres for Disease Control (CDC) Taiwan grouped the spread of disease through its source in the first six main groups. Those are food or waterborne, airborne or droplet, vector-borne, sexually transmitted or blood-borne, contact transmission, and miscellaneous. According to this, academics, government, and the private sector should work together and collaborate to maintain the health issue. This article examines and connects the climate and communicable aspects towards Penta-Helix in Taiwan. Finding: In summary, we have been addressing the knowledge center on the number of private companies throughout the health care sector, the number of healthcare facilities, and the education institutions widely recognized as Penta Helix. In addition, we used hierarchical likelihood structural equation modeling (HSEMs). All the relationship variables among climate, communicable disease, and Penta Helix can be interpreted through the latent variables with GoF 79.24%.

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