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

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.

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

BMC Public Health ◽

10.1186/s12889-020-09639-9 ◽

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.

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

10.21203/rs.2.22428/v4 ◽

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.

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

10.21203/rs.2.22428/v1 ◽

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.

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

10.21203/rs.2.22428/v2 ◽

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.

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Health-related quality of life in a general population sample in Kazakhstan and its sociodemographic and occupational determinants

Health and Quality of Life Outcomes ◽

10.1186/s12955-021-01843-4 ◽

2021 ◽

Vol 19 (1) ◽

Author(s):

Denis Vinnikov ◽

Aizhan Raushanova ◽

Zhanna Romanova ◽

Zhangir Tulekov

Keyword(s):

Quality Of Life ◽

Physical Activity ◽

General Population ◽

Physical Component Score ◽

Health Related Quality ◽

Occupational History ◽

Component Score ◽

Related Quality ◽

Health Related

Abstract Background Health-related quality of life (HRQL) in the general population of Kazakhstan has never been characterized. We constructed this population-based study of the largest city in Kazakhstan, Almaty with the aim to quantitatively assess HRQL and ascertain whether occupation and lifestyle are associated with HRQL in this population. Methods In a random sample (N = 1500) of general population in Almaty (median age 49 (interquartile range 28) years, 50% women), we collected data on demographics, socioeconomic status, lifestyle, lifetime occupational history and general HRQL using SF-8 instrument. The association of demographic and occupational predictors with HRQL was tested in multiple regression models. Results No occupational associations were found for physical component score in the models adjusted for age, sex, income, cigarette and waterpipe smoking, electronic cigarette use, physical activity, alcohol and exposure to secondhand smoke. Ever being a manager (β − 1.63 (95% confidence interval (CI) − 2.92; − 0.34)), a welder (β − 5.11 (95% CI − 8.77; − 1.46)) and a secretary (β − 5.06 (95% CI − 8.56; − 1.56)) for one year or more was associated with poorer mental component score in the models adjusted for age, sex, income, cigarette smoking, physical activity and each other. Age, income and physical activity were independent predictors of both physical and mental components. Conclusions Occupational history is associated with HRQL in the general population in Almaty, Kazakhstan, but the mechanism explaining this association should be further elucidated.

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

International Journal of Technology Assessment in Health Care ◽

10.1017/s0266462304001060 ◽

2004 ◽

Vol 20 (3) ◽

pp. 258-268 ◽

Cited By ~ 34

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.

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Importance of Quality of Life for Adherence to Sublingual Immunotherapy

BioMed Research International ◽

10.1155/2016/5186765 ◽

2016 ◽

Vol 2016 ◽

pp. 1-5 ◽

Cited By ~ 6

Author(s):

Marie-Luise Lemberg ◽

Peter Eberle ◽

Kija Shah-Hosseini

Keyword(s):

Quality Of Life ◽

General Population ◽

Health Survey ◽

Sublingual Immunotherapy ◽

Physical Component Score ◽

Cross Sectional ◽

Component Score ◽

Determining Factor ◽

Better Than

Background.Nonperception of efficacy ranks among the most commonly cited causes for nonadherence to sublingual immunotherapy (SLIT). Quality of life (QoL) in patients is a determining factor influencing adherence. We investigated QoL and adherence separately in SLIT patients at one pediatric practice in Germany.Methods.We conducted a noninterventional, cross-sectional, retrospective, quality-of-life survey among pediatric patients treated with SLIT. QoL was assessed using the generic SF-12 health survey in German. The items contained in the SF-12 health survey are weighted, added up, and converted to obtain a physical component score (PCS) and a mental component score (MCS). Each component score ranges from 0 to 100; the higher the score, the better the QoL perceived.Results. 201 surveyed patients who had undergone SLIT showed PCS-12 of 49.3 (± 7.0) and MCS-12 of 52.6 (± 7.2). These figures correlate strongly with those reported for the German general population(n=2453): PCS-12 of 49.6 (± 8.7) and MCS-12 of 52.3 (± 8.0). 70.2% (73) of 104 patients were adherent at this practice.Conclusions. QoL in the SLIT patients surveyed here appears as good as that of the general population. Adherence to SLIT at this practice was remarkably better than that reported elsewhere.

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Quality of Life-Repeated Measurements Are Needed In Dialysis Patients

Open Access Macedonian Journal of Medical Sciences ◽

10.3889/oamjms.2018.305 ◽

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.

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

Pituitary ◽

10.1007/s11102-021-01153-4 ◽

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.

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

Open Heart ◽

10.1136/openhrt-2020-001569 ◽

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.

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