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 Detecting Response Shift in Health-related Quality of Life Measurement among Patients with Hypertension Using Structural Equation Modeling.

2020 ◽  
Author(s):  
Hao Chen ◽  
Lin Zhu ◽  
Rui Zhou ◽  
Panpan Liu ◽  
Xiaoyang Lu ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Disease Management ◽  
Structural Equation ◽  
Response Shift ◽  
Management Program ◽  
Equation Modeling ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

Abstract Background: Outcomes derived from longitudinal self-reported health-related quality of life measures can be confounded by response shift. This study was aimed to detect response shift phenomena among patients with hypertension attending a community-based disease management program. Methods: 240 consecutive consulting or followed up patients with diagnosed hypertension were recruited. The SF-36 instruments were self-administered at 12 community health service stations and four weeks after attending the program. RS was assessed by the 4-step structural equation modeling approach. Results: Data from 203 (84.6%) patients were eligible for analyses (mean age 65.9±10.8 years, 46,3% female). The results showed uniform recalibration of social functioning ( X2SBdiff(1)=22.98, P<0.001), and non-uniform recalibration of role limitations due to physical problems ( X2SBdiff(1)=8.84, P=0.003), and bodily pain ( X2SBdiff(1)=17.41, P<0.001). The effects of response shift were calculated as “small”, but the influence on the measurement results was noticeable. After accounting for the response shift effect, the general physical health of participants was improved (+0.234, P<0.001), while a deterioration of general mental health (-0.165, P=0.025) was also found. Conclusions: Recalibration existed among patients with hypertension attending the disease management program. The adaptation to chronic illness might act as a catalyst that induced the response shift. We concluded that response shift should be considered in hypertension researches with longitudinal health-related quality of life data, and linking with measurement of the appraisal process was recommended.

scholarly journals Upper Limb Dexterity in Multiple Sclerosis Patients: An Important and Underrated Morbidity

2020 ◽  
pp. 0000-0000
Author(s):  
Ricardo N. Alonso ◽  
Maria B. Eizaguirre ◽  
Leila Cohen ◽  
Cecilia Quarracino ◽  
Berenice Silva ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Multiple Sclerosis ◽  
Equation Modeling ◽  
Life Questionnaire ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related ◽  
Edss Score ◽  
Multiple Sclerosis Patients

Abstract Background: Scales to assess disability in multiple sclerosis (MS) rarely provides reliable data on the actual global impairment. Upper limbs (UL) dysfunction is usually overlooked, which has a negative impact on the patient's well-being. Objectives: 1) to analyze the association between UL dexterity, lower limbs (LL) speed and the EDSS score. 2) To analyze the difference in UL dexterity between patients with EDSS &lt;5 and ≥5. 3) To study the association that UL dexterity, LL speed and the EDSS score have with both health-related quality of life measurements and depression. Methods: Our sample included 140 adults with MS. They were evaluated using the Nine-Hole Peg Test, the Timed 25-Foot Walk test, the EDSS, the Multiple Sclerosis International Quality of Life questionnaire (MusiQol), and the Beck Depression Inventory. We conducted a thorough descriptive-analytical research using Spearman's correlation, multiple linear regression and structural equation modeling. Results: UL dexterity was more closely related to the EDSS than LL speed (r: 0.43 vs. 0.29, R2: 0.38). UL dexterity was greatest in patients with EDSS &lt;5 (P &lt; .001). Moreover, UL dexterity was negatively associated with EDSS and the MusiQol (rS: between −0.557 and −0.358, P &lt; .05). The correlation that depression has with loss of dexterity in UL was higher than the one it has with LL speed (0.098 vs 0.066, t &gt; 1.96). Conclusions: UL dexterity is associated and global disability, depression, and health-related quality of life. We advocate for the assessment of UL dexterity during MS patients' consultations to adopt a better approach to their functional impairment.

scholarly journals Detecting response shift in health-related quality of life measurement among patients with hypertension using structural equation modeling

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Hao Chen ◽  
Lin Zhu ◽  
Rui Zhou ◽  
Panpan Liu ◽  
Xiaoyang Lu ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Effect Size ◽  
Structural Equation ◽  
Response Shift ◽  
Management Program ◽  
Equation Modeling ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

Abstract Background Outcomes derived from longitudinal self-reported health-related quality of life measures can be confounded by response shift. This study was aimed to detect response shift among patients with hypertension attending a community-based disease management program. Methods 240 consecutive consulting or follow-up patients with diagnosed hypertension were recruited. The Short Form 36-item Health Survey was self-administered at 12 community health service stations at baseline and four weeks after attending the program. The 4-step structural equation modeling approach assessed response shift. Results Data from 203 (84.6%) patients were eligible for analyses (mean age 65.9 ± 10.8 years, 46.3% female). The results showed uniform recalibration of social functioning ($${\upchi}_{\mathrm{SBdiff}}^{2}$$ χ SBdiff 2 (1) = 22.98, P < 0.001), and non-uniform recalibration of role limitations due to physical problems ($${\upchi}_{\mathrm{SBdiff}}^{2}$$ χ SBdiff 2 (1) = 8.84, P = 0.003), and bodily pain ($${\upchi}_{\mathrm{SBdiff}}^{2}$$ χ SBdiff 2 (1) = 17.41, P < 0.001). The effects of response shift on social functioning were calculated as “small” (effect-size = 0.35), but changed the observed changes from improvement (effect-size = 0.25) to slight deterioration (effect-size = -0.10). After accounting for the response shift effect, the general physical health of participants was improved (effect-size = 0.37), while deterioration (effect-size = -0.21) in the general mental health was also found. Conclusions Recalibration existed among patients with hypertension attending the disease management program. The interventions in the program might act as a catalyst that induced the response shift. We conclude that response shift should be considered in hypertension research with longitudinal health-related quality of life data.

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.

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