scholarly journals Direct and Indirect Pathways for Health-Related Quality of Life Change from Pain Improvement in Neuropathic Pain Patients with Spine Diseases: Path Analysis with Structural Equation Modeling Using Non-Interventional Study Results of Pregabalin

2021 ◽  
Vol Volume 14 ◽  
pp. 1543-1551
Author(s):  
Toshihiko Taguchi ◽  
Kazutaka Nozawa ◽  
Shigeki Zeniya ◽  
Tatsunori Murata ◽  
Thomas Laurent ◽  
...  
Keyword(s):  
Structural Equation ◽  
Equation Modeling ◽  
Life Change ◽  
Study Results ◽  
Spine Diseases ◽  
Related Quality ◽  
Health Related ◽  
Pain Patients ◽  
Pain Improvement

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.

The relationship between barriers to care, caregiver distress, and child health-related quality of life in caregivers of children with cancer: A structural equation modeling approach

2017 ◽  
Vol 47 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Elizabeth S. Molzon ◽  
Larry L. Mullins ◽  
Christopher C. Cushing ◽  
John M. Chaney ◽  
Rene McNall ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Structural Equation ◽  
Equation Modeling ◽  
Caregiver Distress ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related ◽  
The Relationship ◽  
And Child Health

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 Erratum to: Using structural equation modeling to detect response shift in performance and health-related quality of life scores of multiple sclerosis patients

2011 ◽  
Vol 20 (10) ◽  
pp. 1541-1541
Author(s):  
Bellinda L. King-Kallimanis ◽  
Frans J. Oort ◽  
Sandra Nolte ◽  
Carolyn E. Schwartz ◽  
Mirjam A. G. Sprangers
Keyword(s):  
Quality Of Life ◽  
Multiple Sclerosis ◽  
Structural Equation ◽  
Response Shift ◽  
Equation Modeling ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related ◽  
Multiple Sclerosis Patients

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 Association between social capital, health-related quality of life, and mental health: a structural-equation modeling approach

2016 ◽  
Vol 57 (1) ◽  
pp. 58-65 ◽  
Author(s):  
Jafar Hassanzadeh ◽  
Mohsen Asadi-Lari ◽  
Abdolvahab Baghbanian ◽  
Haleh Ghaem ◽  
Aziz Kassani ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Social Capital ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related
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