scholarly journals Quality of Life as a predictor of mortality in the general population: a systematic review and meta-analysis

2020 ◽  
Author(s):  
Aung Zaw Zaw Phyo ◽  
Rosanne Freak-Poli ◽  
Heather Craig ◽  
Danijela Gasevic ◽  
Nigel Stocks ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Mortality Risk ◽  
Population Characteristics ◽  
Screening Tools ◽  
Lower Mortality ◽  
Physical Component Score ◽  
Component Score ◽  
Meta Analyses ◽  
Lower Mortality Risk

Abstract Background: Quality of life (QoL) is multi-dimensional concept of an individual’ general well-being status in relation to their value, environment, cultural and social context in which they live. This study aimed to quantitatively synthesise available evidence on the association between QoL and mortality in the general population.Methods: An electronic search was conducted using three bibliographic databases, MEDLINE, EMBASE and PsycINFO. Inclusion criteria were studies that assessed QoL using standardized tools and examined mortality risk in a non-patient population. Qualitative data synthesis and meta-analyses using a random-effects model were performed.Results: Of 4,184 articles identified, 47 were eligible for inclusion, involving approximately 1,200,000 participants. Studies were highly heterogeneous in terms of QoL measures, population characteristics and data analysis. In total, 43 studies (91.5%) reported that better QoL was associated with lower mortality risk. The results of four meta-analyses indicated that higher health-related QoL (HRQoL) is associated with lower mortality risk, which was consistent for overall HRQoL (HR 0.633, 95% CI: 0.514 to 0.780), physical function (HR 0.987, 95% CI: 0.982 to 0.992), physical component score (OR 0.950, 95% CI: 0.935 to 0.965), and mental component score (OR 0.980, 95% CI: 0.969 to 0.992).Conclusion: These findings provide evidence that better QoL/HRQoL was associated with lower mortality risk. The utility of these measures in predicting mortality risk indicates that they should be considered further as potential screening tools in general clinical practice, beyond the traditional objective measures such as body mass index and the results of laboratory tests.

scholarly journals Quality of Life and mortality in the general population: a systematic review and meta-analysis

2020 ◽  
Author(s):  
Aung Zaw Zaw Phyo ◽  
Rosanne Freak-Poli ◽  
Heather Craig ◽  
Danijela Gasevic ◽  
Nigel Stocks ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Mortality Risk ◽  
Population Characteristics ◽  
Screening Tools ◽  
Lower Mortality ◽  
Physical Component Score ◽  
Component Score ◽  
Meta Analyses ◽  
Lower Mortality Risk

Abstract Background: Quality of life (QoL) is multi-dimensional concept of an individual’ general well-being status in relation to their value, environment, cultural and social context in which they live. This study aimed to quantitatively synthesise available evidence on the association between QoL and mortality in the general population.Methods: An electronic search was conducted using three bibliographic databases, MEDLINE, EMBASE and PsycINFO. Inclusion criteria were studies that assessed QoL using standardized tools and examined mortality risk in a non-patient population. Qualitative data synthesis and meta-analyses using a random-effects model were performed.Results: Of 4,184 articles identified, 47 were eligible for inclusion, involving approximately 1,200,000 participants. Studies were highly heterogeneous in terms of QoL measures, population characteristics and data analysis. In total, 43 studies (91.5%) reported that better QoL was associated with lower mortality risk. The results of four meta-analyses indicated that higher health-related QoL (HRQoL) is associated with lower mortality risk, which was consistent for overall HRQoL (HR 0.633, 95% CI: 0.514 to 0.780), physical function (HR 0.987, 95% CI: 0.982 to 0.992), physical component score (OR 0.950, 95% CI: 0.935 to 0.965), and mental component score (OR 0.980, 95% CI: 0.969 to 0.992).Conclusion: These findings provide evidence that better QoL/HRQoL was associated with lower mortality risk. The utility of these measures in predicting mortality risk indicates that they should be considered further as potential screening tools in general clinical practice, beyond the traditional objective measures such as body mass index and the results of laboratory tests.

scholarly journals Quality of Life and mortality in the general population: a systematic review and meta-analysis

2020 ◽  
Author(s):  
Aung Zaw Zaw Phyo ◽  
Rosanne Freak-Poli ◽  
Heather Craig ◽  
Danijela Gasevic ◽  
Nigel Stocks ◽  
...  
Keyword(s):  
Quality Of Life ◽  
General Population ◽  
Mortality Risk ◽  
Population Characteristics ◽  
Lower Mortality ◽  
Physical Component Score ◽  
Component Score ◽  
Meta Analyses ◽  
Lower Mortality Risk

Abstract Background: Quality of life (QoL) is multi-dimensional concept of an individual’ general well-being status in relation to their value, environment, cultural and social context in which they live. This study aimed to quantitatively synthesise available evidence on the association between QoL and mortality in the general population. Methods: An electronic search was conducted using three bibliographic databases, MEDLINE, EMBASE and PsycINFO. Inclusion criteria were studies that assessed QoL using standardized tools and examined mortality risk in a non-patient population. Qualitative data synthesis and meta-analyses using a random-effects model were performed. Results: Of 4,184 articles identified, 47 were eligible for inclusion, involving approximately 1,200,000 participants. Studies were highly heterogeneous in terms of QoL measures, population characteristics and data analysis. In total, 43 studies (91.5%) reported that better QoL was associated with lower mortality risk. The results of four meta-analyses indicated that higher health-related QoL (HRQoL) is associated with lower mortality risk, which was consistent for overall HRQoL (HR 0.633, 95% CI: 0.514 to 0.780), physical function (HR 0.987, 95% CI: 0.982 to 0.992), physical component score (OR 0.950, 95% CI: 0.935 to 0.965), and mental component score (OR 0.980, 95% CI: 0.969 to 0.992). Conclusion: These findings provide evidence that better QoL/HRQoL was associated with lower mortality risk. The utility of these measures in predicting mortality risk indicates that they should be considered further as potential screening tools in general clinical practice, beyond the traditional objective measures such as body mass index and the results of laboratory tests.

scholarly journals Quality of life and mortality in the general population: a systematic review and meta-analysis

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Aung Zaw Zaw Phyo ◽  
Rosanne Freak-Poli ◽  
Heather Craig ◽  
Danijela Gasevic ◽  
Nigel P. Stocks ◽  
...  
Keyword(s):  
Quality Of Life ◽  
General Population ◽  
Mortality Risk ◽  
Population Characteristics ◽  
Lower Mortality ◽  
Physical Component Score ◽  
Component Score ◽  
Meta Analyses ◽  
Lower Mortality Risk

Abstract Background Quality of life (QoL) is multi-dimensional concept of an individual’ general well-being status in relation to their value, environment, cultural and social context in which they live. This study aimed to quantitatively synthesise available evidence on the association between QoL and mortality in the general population. Methods An electronic search was conducted using three bibliographic databases, MEDLINE, EMBASE and PsycINFO. Inclusion criteria were studies that assessed QoL using standardized tools and examined mortality risk in a non-patient population. Qualitative data synthesis and meta-analyses using a random-effects model were performed. Results Of 4184 articles identified, 47 were eligible for inclusion, involving approximately 1,200,000 participants. Studies were highly heterogeneous in terms of QoL measures, population characteristics and data analysis. In total, 43 studies (91.5%) reported that better QoL was associated with lower mortality risk. The results of four meta-analyses indicated that higher health-related QoL (HRQoL) is associated with lower mortality risk, which was consistent for overall HRQoL (HR 0.633, 95% CI: 0.514 to 0.780), physical function (HR 0.987, 95% CI: 0.982 to 0.992), physical component score (OR 0.950, 95% CI: 0.935 to 0.965), and mental component score (OR 0.980, 95% CI: 0.969 to 0.992). Conclusion These findings provide evidence that better QoL/HRQoL was associated with lower mortality risk. The utility of these measures in predicting mortality risk indicates that they should be considered further as potential screening tools in general clinical practice, beyond the traditional objective measures such as body mass index and the results of laboratory tests.

scholarly journals Quality of Life and mortality in the general population: a systematic review and meta-analysis

2020 ◽  
Author(s):  
Aung Zaw Zaw Phyo ◽  
Rosanne Freak-Poli ◽  
Heather Craig ◽  
Danijela Gasevic ◽  
Nigel Stocks ◽  
...  
Keyword(s):  
Quality Of Life ◽  
General Population ◽  
Mortality Risk ◽  
Population Characteristics ◽  
Lower Mortality ◽  
Physical Component Score ◽  
Component Score ◽  
Meta Analyses ◽  
Lower Mortality Risk

Abstract Background: Quality of life (QoL) is multi-dimensional concept of an individual’ general well-being status in relation to their value, environment, cultural and social context in which they live. This study aimed to quantitatively synthesise available evidence on the association between QoL and mortality in the general population.Methods: An electronic search was conducted using three bibliographic databases, MEDLINE, EMBASE and PsycINFO. Inclusion criteria were studies that assessed QoL using standardized tools and examined mortality risk in a non-patient population. Qualitative data synthesis and meta-analyses using a random-effects model were performed.Results: Of 4,184 articles identified, 47 were eligible for inclusion, involving approximately 1,200,000 participants. Studies were highly heterogeneous in terms of QoL measures, population characteristics and data analysis. In total, 43 studies (91.5%) reported that better QoL was associated with lower mortality risk. The results of four meta-analyses indicated that higher health-related QoL (HRQoL) is associated with lower mortality risk, which was consistent for overall HRQoL (HR 0.633, 95% CI: 0.514 to 0.780), physical function (HR 0.987, 95% CI: 0.982 to 0.992), physical component score (OR 0.950, 95% CI: 0.935 to 0.965), and mental component score (OR 0.980, 95% CI: 0.969 to 0.992). Conclusion: These findings provide evidence that better QoL/HRQoL was associated with lower mortality risk. The utility of these measures in predicting mortality risk indicates that they should be considered further as potential screening tools in general clinical practice, beyond the traditional objective measures such as body mass index and the results of laboratory tests.

Quality of Life Scores Predict Survival Among Patients With Head and Neck Cancer

2008 ◽  
Vol 26 (16) ◽  
pp. 2754-2760 ◽  
Author(s):  
Carrie A. Karvonen-Gutierrez ◽  
David L. Ronis ◽  
Karen E. Fowler ◽  
Jeffrey E. Terrell ◽  
Stephen B. Gruber ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Head And Neck Cancer ◽  
Head And Neck ◽  
Neck Cancer ◽  
Short Form ◽  
Screening Tools ◽  
Physical Component Score ◽  
Component Score ◽  
Sf 36

Purpose The purpose of this study was to examine whether quality of life (QOL) scores predict survival among patients with head and neck cancer, controlling for demographic, health behavior, and clinical variables. Patients and Methods A self-administered questionnaire was given to 495 patients being treated for head and neck cancer while they were waiting to be seen for a clinic appointment. Data collected from the survey included demographics, health behaviors, and QOL as measured by Short Form-36 (SF-36) physical and mental component scores and the Head and Neck QOL scores. Clinical measures were collected by chart abstraction. Kaplan-Meier plots and univariate and multivariate Cox proportional hazards models were used to determine the association between QOL scores and survival time. Results After controlling for age, time since diagnosis, marital status, education, tumor site and stage, comorbidities, and smoking, the SF-36 physical component score and three of the four Head and Neck QOL scales (pain, eating, and speech domains) were associated with survival. Controlling for the same variables, the SF-36 mental component score and the emotional domain of the Head and Neck QOL were not associated with survival. Conclusion QOL instruments may be valuable screening tools to identify patients who are at high risk for poor survival. Those with low QOL scores could be followed more closely, with the potential to identify recurrence earlier and perform salvage treatments, thereby possibly improving survival for this group of patients.

Systematic review of the effectiveness of home versus hospital or satellite unit hemodialysis for people with end-stage renal failure

2004 ◽  
Vol 20 (3) ◽  
pp. 258-268 ◽  
Author(s):  
Graham Mowatt ◽  
Luke Vale ◽  
Alison MacLeod
Keyword(s):  
Quality Of Life ◽  
Renal Failure ◽  
Mortality Risk ◽  
Lower Mortality ◽  
Home Hemodialysis ◽  
End Stage Renal Failure ◽  
End Stage ◽  
Lower Mortality Risk ◽  
Satellite Unit

Background:Home hemodialysis offers potential advantages over hospital hemodialysis, including the opportunity for more frequent and/or longer dialysis sessions. Expanding home hemodialysis services may help cope with the increasing numbers of people requiring hemodialysis.Methods:We sought comparative studies or systematic reviews of home versus hospital/satellite unit hemodialysis for people with end-stage renal failure (ESRF). Outcomes included quality of life and survival. We searched MEDLINE, EMBASE, HealthSTAR, CINAHL, PREMEDLINE, and BIOSIS. Two reviewers independently extracted data and assessed the quality of the studies included.Results:Twenty-seven studies of variable quality were included. People on home hemodialysis generally experienced a better quality of life and lived longer than those on hospital hemodialysis. Their partners, however, found home hemodialysis more stressful. Four studies using a Cox proportional hazards model to compare home with hospital hemodialysis reported a lower mortality risk for home hemodialysis. Of two studies using a Cox model to compare home with satellite unit hemodialysis, one reported a similar mortality risk, whereas the other reported a lower mortality risk for home hemodialysis.Conclusions:Home hemodialysis was generally associated with better outcomes than hospital hemodialysis and (more modestly so) satellite unit hemodialysis, in terms of quality of life, survival, and other measures of effectiveness. People on home hemodialysis, however, are a highly selected group. Home hemodialysis also provides the opportunity for more frequent and/or longer dialysis sessions than would otherwise be possible. It is difficult to disentangle the true effects of home hemodialysis from such influencing factors.

scholarly journals Quality of Life-Repeated Measurements Are Needed In Dialysis Patients

2018 ◽  
Vol 6 (8) ◽  
pp. 1410-1412
Author(s):  
Lada Trajceska ◽  
Daniela Mladenovska ◽  
Pavlina Dzekova-Vidimliski ◽  
Aleksandar Sikole
Keyword(s):  
Quality Of Life ◽  
Mortality Risk ◽  
Proportional Hazards ◽  
Short Form ◽  
Cox Proportional Hazards ◽  
Repeated Measurements ◽  
Physical Component Score ◽  
Component Score ◽  
Cox Analysis

BACKGROUND: There is a general agreement that, besides survival, the quality of life is a highly relevant outcome in the evaluation of treatment in patients with the end-stage renal disease. Moreover, it is very important to determine whether the quality of life impacts survival.AIM: This study aims to assess whether changes or absolute scores of the quality of life (QOL) measurements better predict mortality in dialysis patients.MATERIAL AND METHODS: In a longitudinal study comprising 162 prevalent hemodialysis patients QOL was assessed with the 36-item - Short Form Health Survey Questionnaire (SF-36) at baseline and after 12 months. Patients were followed for 60 months. Mortality risk was assessed using Cox proportional hazards analysis for patients with below and above median levels of both physical and mental QOL component scores (PCS and MCS, respectively).RESULTS: At the beginning of the study the mean Physical Component score was 47.43 ± 26.94 and mean Mental Component Score was slightly higher 50.57 ± 24.39. Comparative analysis of the changes during the first year showed a marked deterioration of all quality of life scores in surviving patients. The 5-point decline for PCS was noted in 39 (24%) patients and 42 (26%) for MCS. In the follow-up period of 60 months, 69 (43%) patients died. In the Cox analysis, mortality was significantly associated with lower PCS: HR = 2.554 [95% confidence interval (CI): 1.533-4.258], (P < 0.000) and lower MCS: 2.452 (95%CI: 1.478-4.065), P < 0.001. The patients who had lower levels of PCS and MCS in the second QOL survey 1 year later, had similarly high mortality risk: 3.570 (95%CI: 1.896-6.727, P < 0.000); 2.972 (95%CI: 1.622-5.490, P < 0.000), respectively. The hazard ratios for mortality across categories for the change of PCS and MCS were not significant. In the multivariate model categorising the first and second scores as predictors and adjusted for age, only the second PCS and MCS score were associated with mortality.CONCLUSION: Low QOL scores are associated with mortality in repeated measurements, but only the more recent overwhelmed the power of the decline.

scholarly journals Surgically treated acromegaly patients have a similar quality of life whether controlled by surgery or requiring additional medical therapy (QuaLAT Study)

Pituitary ◽  
2021 ◽  
Author(s):  
Muhammad Fahad Arshad ◽  
Oluwafunto Ogunleye ◽  
Richard Ross ◽  
Miguel Debono
Keyword(s):  
Quality Of Life ◽  
Medical Treatment ◽  
Physical Component Score ◽  
Healthy Controls ◽  
Component Score ◽  
Post Surgery ◽  
Group 3 ◽  
Group 2 ◽  
Group 1

Abstract Purpose There is no consensus on quality of life (QOL) in patients with acromegaly requiring medical treatment after surgery compared with those achieving remission by surgery alone. Methods QuaLAT is a cross-sectional study comparing QOL in surgery-only treated acromegaly patients versus those requiring medical treatment post-surgery. Patients attending clinics were identified and divided into—Group 1: patients who had surgery only and were in biochemical remission, Group 2: all patients on medical treatment post-surgery, Group 3: patients from Group 2 with biochemical control. Participants were asked to fill three questionnaires; Acromegaly Quality of Life Questionnaire (ACROQOL), 36-Item Short Form Survey (SF36), and Fatigue Severity Scale (FSS). Results There were 32 patients in Group 1 and 25 in Group 2. There was no difference in QOL scores between groups 1 and 2, as measured by ACROQOL (mean difference [MD] = − 2.5, 95% CI − 16.6 to 11.6; p = 0.72), SF36v2 [Physical component score (PCS) MD = − 4.9, 95% CI − 10.9 to 1.2; p = 0.12; mental component score MD = − 3.0, 95% CI − 10.5 to 4.4; p = 0.44], or FSS (MD = − 0.004, 95% CI − 1.14 to 1.33; p = 0.1). Comparison between groups 1 and 3 however showed that PCS (and 3 subdomains) was significantly better in group 3 (MD = − 8.3, 95% CI − 14.8 to -1.8; p = 0.01). All three QOL scores were lower when compared with healthy controls. Conclusions Medical treatment not only achieves a QOL comparable to surgery, it may also be associated with better QOL in physical subdomains. When compared with healthy controls, QOL remains worse in treated acromegaly patients compared to controls.

scholarly journals Does postoperative cognitive decline after coronary bypass affect quality of life?

Open Heart ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. e001569
Author(s):  
Fredrike Blokzijl ◽  
Frederik Keus ◽  
Saskia Houterman ◽  
Willem Dieperink ◽  
Iwan C C van der Horst ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Cognitive Function ◽  
Cognitive Dysfunction ◽  
Postoperative Cognitive Dysfunction ◽  
Cognitive Test ◽  
Physical Component Score ◽  
Cognitive Changes ◽  
Component Score ◽  
Postoperative Cognitive Decline

ObjectiveThis study aimed to explore the influence of coronary artery bypass grafting (CABG) on both postoperative cognitive dysfunction and quality of life (QoL) and the association between the two patient-related outcomes.MethodsIn a prospective, observational cohort study, patients with elective, isolated CABG were included. Cognitive function was assessed using the Cogstate computerised cognitive test battery preoperatively, 3 days and 6 months after surgery. QoL was measured preoperatively and at 6 months using the RAND-36 questionnaire including the Physical Component Score (PCS) and the Mental Component Score (MCS). Regression analysis, with adjustment for confounders, was used to evaluate the association between postoperative cognitive dysfunction and QoL.ResultsA total of 142 patients were included in the study. Evidence of persistent cognitive dysfunction was observed in 33% of patients after 6 months. At 6 months, the PCS had improved in 59% and decreased in 21% of patients, and the MCS increased in 49% and decreased in 29%. Postoperative cognitive changes were not associated with QoL scores.ConclusionsPostoperative cognitive dysfunction and decreased QoL are common 6 months after surgery, although cognitive function and QoL were found to have improved in many patients at 6 months of follow-up. Impaired cognitive function is not associated with impaired QoL at 6 months.Trial registration numberNCT03774342.

Quality of Life in Parents of Children Born with Esophageal Atresia

2018 ◽  
Vol 29 (04) ◽  
pp. 371-377 ◽  
Author(s):  
Stefanie Witt ◽  
Michaela Dellenmark-Blom ◽  
Jens Dingemann ◽  
Carmen Dingemann ◽  
Benno M. Ure ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Esophageal Atresia ◽  
Family Income ◽  
Short Form ◽  
Chronically Ill ◽  
Physical Component Score ◽  
German Population ◽  
Component Score ◽  
Population Norms

Introduction For parents of chronically ill children, the experiences of caregiving are challenged by increased demands and restrictions imposed by their child's disease. Therefore, this study aims to investigate the quality of life (QoL) in parents of children born with esophageal atresia (EA) and to explore associated factors. Materials and Methods Parents of children (2–17 years) with EA recruited from two German pediatric hospitals participated in this cross-sectional study about QoL in EA. Data on QoL, sociodemographic, and clinical characteristics were collected from parents and children. Parental QoL was assessed using the Short-Form 8 questionnaire, containing eight dimensions aggregated to a mental and physical health summary score which was compared with German representative population norms. Results Forty-nine families (47 mothers and 40 fathers) participated in the study. Compared with German population norms, both mothers and fathers showed significantly lower mental component score (MCS) but no differences in physical component score (PCS). Within the study sample, parents of younger children (2–7 years), severe EA, or high school/kindergarten absence had lower MCSs compared with those with older, less severe, and less absent children. Parental female gender was associated with lower MCS as well as lower family income. Conclusion Parents of children with EA reported lower mental health compared with the general population, especially mothers, and parents of young children, with severe EA, and a frequent school/kindergarten absence. This shows that parents may experience substantial emotional burden and highlights the need for psychosocial support for EA parents, especially in the first years.

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