scholarly journals Relationship between Mobility-Related Activities of Daily Living and Health-Related Quality of Life among Healthy Older Adults: A Cross-Sectional Study Using Structural Equation Modeling

2021 ◽  
Vol 7 ◽  
pp. 233372142110131
Author(s):  
Hungu Jung ◽  
Shigeharu Tanaka ◽  
Yuji Iwamoto ◽  
Masahiro Yamasaki ◽  
Ryo Tanaka
Keyword(s):  
Older Adults ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Equation Modeling ◽  
Chi Square ◽  
Healthy Older Adults ◽  
Related Quality ◽  
Health Related ◽  
Fit Index

Objective: To develop a conceptual model that confirms whether mobility-related activities of daily living (ADLs) abilities are strongly associated with reduced health-related quality of life (HRQOL) in older adults. Methods: A total of 153 participants (63 men, 90 women) were analyzed. The mobility-related ADL survey from the Ministry of Education, Culture, Sports, Science, and Technology of Japan was used. The Japanese version (v1.2) of the Medical Outcomes Study 36-item Short-Form Health Survey was administered to evaluate HRQOL. Structural equation modeling was performed to test a hypothetical model: mobility-related ADL abilities would influence HRQOL. Results: The chi-square value was not significant (chi-square = 9.463, p = .305), and goodness-of-fit values were high, implying that the model was validated; goodness-of-fit index, 0.981; adjusted goodness-of-fit index, 0.949; comparative fit index, 0.996; and root mean square error of approximation, 0.035. Results showed that mobility-related ADL abilities influenced the physical health including physical function and general health in HRQOL. Conclusions: This study developed the conceptual model confirming the influence of mobility-related ADL abilities especially on physical health. Further intervention studies on instructions/training for physical activity of healthy older adults should assess this causal relationship.

scholarly journals Diabetes in women and health-related quality of life in the whole family: a structural equation modeling

2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Mina Moeineslam ◽  
Parisa Amiri ◽  
Mehrdad Karimi ◽  
Sara Jalali-Farahani ◽  
Niloofar Shiva ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Structural Equation ◽  
Diabetes Type 2 ◽  
Equation Modeling ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related ◽  
Mental Hrqol

Abstract Background Although several studies indicate the effects of diabetes type 2 on health-related quality of life (HRQoL) in female subjects, the related impact of the disease on HRQoL in their family members has rarely been the focus of the empirical research. In this study we aim to investigate associations between diabetes in women and the HRQoL in these women and their family members, using the structural equation modeling (SEM). Methods This family-based study was conducted on 794 women (11.1% with diabetes) as well as their spouses and children who participated in the Tehran Lipid and Glucose Study (TLGS) from 2014 to 2016. Data on HRQoL were collected using the Iranian version of the Short-Form 12-Item Health Survey version 2 (SF-12v2) and the Pediatric Quality of Life Inventory version™ 4.0 (PedsQL). SEM was conducted to evaluate the network of associations among studied variables. Data were analyzed using IBM SPSS Statistics & AMOS version 23 software. Results Mean age of women was 41.37 ± 5.32 years. Diabetes in women significantly affected their mental HRQoL (β = − 0.11, P < 0.01) but showed no significant direct associations with physical and mental HRQoL in their spouses or their children. However, poor mental HRQoL in women with diabetes was associated with decrease in both physical (β = − 0.02, P = 0.013) and mental (β = − 0.03, P < 0.01) HRQoL in their spouses and total HRQoL score in children (β = − 0.02, P < 0.01). Conclusions Among women with diabetes type 2, beyond its effect on their mental HRQoL per se, demonstrated a negative association with the self-assessment of health status in their spouses and children. Such familial consequences are mainly attributed to the negative effect of the disease on the mental rather than the physical HRQoL in women with diabetes.

scholarly journals Religiousness and health-related quality of life of older adults

2015 ◽  
Vol 49 (0) ◽  
Author(s):  
Gina Andrade Abdala ◽  
Miako Kimura ◽  
Yeda Aparecida de Oliveira Duarte ◽  
Maria Lúcia Lebrão ◽  
Bernardo dos Santos
Keyword(s):  
Quality Of Life ◽  
Older Adults ◽  
Family Functioning ◽  
Equation Modeling ◽  
Health Related Quality ◽  
Intrinsic Religiousness ◽  
Related Quality ◽  
Health Related ◽  
The Relationship

OBJECTIVE To examine whether religiousness mediates the relationship between sociodemographic factors, multimorbidity and health-related quality of life of older adults. METHODS This population-based cross-sectional study is part of the Survey on Health, Well-Being, and Aging (SABE). The sample was composed by 911 older adults from Sao Paulo, SP, Southeastern Brazil. Structural equation modeling was performed to assess the mediator effect of religiousness on the relationship between selected variables and health-related quality of life of older adults, with models for men and women. The independent variables were: age, education, family functioning and multimorbidity. The outcome variable was health-related quality of life of older adults, measured by SF-12 (physical and mental components). The mediator variables were organizational, non-organizational and intrinsic religiousness. Cronbach’s alpha values were: physical component = 0.85; mental component = 0.80; intrinsic religiousness = 0.89 and family APGAR (Adaptability, Partnership, Growth, Affection, and Resolve) = 0.91. RESULTS Higher levels of organizational and intrinsic religiousness were associated with better physical and mental components. Higher education, better family functioning and fewer diseases contributed directly to improved performance in physical and mental components, regardless of religiousness. For women, organizational religiousness mediated the relationship between age and physical (β = 2.401, p < 0.01) and mental (β = 1.663, p < 0.01) components. For men, intrinsic religiousness mediated the relationship between education and mental component (β = 7.158, p < 0.01). CONCLUSIONS Organizational and intrinsic religiousness had a beneficial effect on the relationship between age, education and health-related quality of life of these older adults.

Validity of patient-reported health-related quality of life global ratings of change using structural equation modeling

2007 ◽  
Vol 16 (7) ◽  
pp. 1193-1202 ◽  
Author(s):  
Stacie M. Metz ◽  
Kathleen W. Wyrwich ◽  
Ajit N. Babu ◽  
Kurt Kroenke ◽  
William M. Tierney ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Structural Equation ◽  
Equation Modeling ◽  
Health Related Quality ◽  
Patient Reported ◽  
Related Quality ◽  
Global Ratings ◽  
Health Related ◽  
Reported Health

scholarly journals Relationship between Psychological Distress and Continuous Sedentary Behavior in Healthy Older Adults

Medicina ◽  
2019 ◽  
Vol 55 (7) ◽  
pp. 324 ◽  
Author(s):  
Yutaka Owari ◽  
Nobuyuki Miyatake
Keyword(s):  
Older Adults ◽  
Psychological Distress ◽  
Sedentary Behavior ◽  
Goodness Of Fit ◽  
Equation Modeling ◽  
Sample Population ◽  
Healthy Older Adults ◽  
The Cross ◽  
Fit Index ◽  
Distress Scale

Background: Our purpose is to clarify whether psychological distress (PD) affects the rate of continuous sedentary behavior (CSB). Materials and Methods: In this secondary analysis, a sample population of 80 healthy older adults aged 65 years or older participated in a health club of college A from 2016 to 2017. We conducted Structural Equation Modeling (SEM) using the cross-lagged and synchronous effects models. We adopted the following as proxy variables: CSB (based on the ratio of 1.5 METs sessions or more continuing for over 30 min) CSB and PD (based on the Kessler psychological distress scale: K6). Results: “2016 K6” had a significant influence on “2017 CSB” (standardization factor (β) = 0.136, p = 0.020) using the cross-lagged effects model, and “2017 K6” significantly influenced “2017 CSB” (β = 0.166, p = 0.039) using the synchronous effects model. Fit indices were Adjusted Goodness-of-Fit Index (AGFI) = 0.990, Confirmatory Fit Index (CFI) = 1.000, and Root Mean Square Error of Approximation (RMSEA) = 0.000. Conclusion: The results suggest that PD may affect the ratio of CSB one year later.

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 Role of Organizational Climate in Job Involvement: A Way to Develop the Organizational Commitment of Nursing Staff

2018 ◽  
Vol 23 ◽  
pp. 2515690X1879072
Author(s):  
Rohollah Kalhor ◽  
Omid Khosravizadeh ◽  
Saeideh Moosavi ◽  
Mohammad Heidari ◽  
Hasan Habibi
Keyword(s):  
Organizational Commitment ◽  
Organizational Climate ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Job Involvement ◽  
Teaching Hospitals ◽  
Equation Modeling ◽  
Chi Square ◽  
Confirmatory Factor ◽  
Fit Index

Employees are the most valuable assets of an organization; therefore, it is very important to understand their behavior. In this regard, the present study was carried out in order to examine the effect of organizational climate on job involvement among nurses working in the teaching hospitals of Qazvin Province, Iran. The present descriptive analytical study was done in 2017. To randomly select a specific proportion of nurses from each of Qazvin teaching hospitals, stratified sampling was used. In total, 340 nurses were selected. Data were collected using 3 questionnaires: Halpin and Kraft Organizational Climate Questionnaire, Job Involvement Questionnaire (Kanungo), and Allen and Myer Organizational Commitment Questionnaire. For data analysis, confirmatory factor analysis and structural equation modeling were used applying AMOS-24 software. The results of path analysis showed the effect of organizational climate on the nurses’ job involvement. Moreover, organizational climate influenced organizational commitment through the mediation of job involvement. According to values obtained for degree of freedom based on chi-square, goodness-of-fit index, root mean square error of approximation, and comparative fit index were in the defined range; therefore, the validity of the conceptual model was approved. Based on the results of the present study, managers of health organizations can achieve their goals by understanding the organizational climate of the hospitals and its effect on the employees’ job involvement and discovering strategies needed for organizational commitment improvement.

Sign in / Sign up

Export Citation Format

Share Document