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Quality of life

About: Quality of life is a research topic. Over the lifetime, 42912 publications have been published within this topic receiving 1198363 citations. The topic is also known as: life quality.


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Journal ArticleDOI
TL;DR: Oral nutritional interventions are effective at increasing nutritional intake and improving some aspects of QOL in patients with cancer who are malnourished or are at nutritional risk but do not appear to improve mortality.
Abstract: February 2010) were searched to identify randomized controlled trials of patients with cancer who were malnourished or considered to be at risk of malnutrition and receiving oral nutritional support compared with routine care. We performed a meta-analysis using a fixed effect model, or random effects models when statistically significant heterogeneity was present, to calculate relative risk (mortality) or mean difference (weight, energy intake, and QOL) with 95% confidence intervals (CIs). Heterogeneity was determined by using the x 2 test and the I 2 statistic. All statistical tests were two-sided. Results Thirteen studies were identified and included 1414 participants. The quality of the studies varied, and there was considerable clinical and statistical heterogeneity. Nutritional intervention was associated with statistically significant improvements in weight and energy intake compared with routine care (mean difference in weight = 1.86 kg, 95% CI = 0.25 to 3.47, P = .02; and mean difference in energy intake = 432 kcal/d, 95% CI = 172 to 693, P = .001). However, after removing the main sources of heterogeneity, there was no statistically significant difference in weight gain or energy intake. Nutritional intervention had a beneficial effect on some aspects of QOL (emotional functioning, dyspnea, loss of appetite, and global QOL) but had no effect on mortality (relative risk = 1.06, 95% CI = 0.92 to 1.22, P = .43; I 2 = 0%; Pheterogeneity = .56).

303 citations

Journal ArticleDOI
TL;DR: Making patient-reported cancer needs, quality-of-life (QOL), and psychosocial information available to the health care team at a single consultation does not seem to reduce cancer needs nor improve QOL, psychossocial functioning, or satisfaction with the care received, however, identification of patients with moderate or severe levels of depression may be valuable in reducing subsequent levels of Depression.
Abstract: PURPOSE: To determine whether making patient-reported cancer needs, quality-of-life (QOL), and psychosocial information available to the health care team, allowing coordinated specifically targeted psychosocial interventions, resulted in reduced cancer needs, improved QOL, and increased satisfaction with care received. METHODS: Self-reported cancer needs, QOL, and psychosocial information was collected from 450 people with cancer, using standardized questionnaires via a touch-screen computer. For a randomly chosen two thirds, this information was made available to the health care team who coordinated targeted psychosocial interventions. Information from the remaining one third was not seen. Patients were assessed 2 and 6 months after randomization for changes in their cancer needs, QOL, and psychosocial functioning and satisfaction with overall care received. RESULTS: There were no significant differences between the two arms with respect to changes in cancer needs, QOL, or psychosocial functioning betwee...

303 citations

Journal ArticleDOI
TL;DR: Type D personality has an independent significant effect on the HRQoL in CAD patients with heart failure, and this relation is mediated by anxiety and depressive symptoms, social support.
Abstract: The relationship between Type D personality and health related quality of life (HRQoL) in coronary artery disease patients is becoming more established, however, the factors that may explain this association remain unclear. The objective of the study was to examine the mediating effects of mental distress and social support on the relationship between the Type D personality and HRQoL in CAD patients with heart failure. A total of 855 CAD patients with heart failure were assessed on Type D personality, mental distress, perceived social support and HRQoL with the following self-administered questionnaires: the Type D personality scale - 14, the Hospital Anxiety and Depression scale, the Multidimensional Scale of Perceived Social Support and the Minnesota Living with Heart Failure Questionnaire. The prevalence of Type D personality within the study population was 33.5%. Type D personality, anxiety symptoms, depressive symptoms and social support were all found to be determinants of decreased HRQoL (p’s < 0.001), once age, gender, NYHA functional class and acute myocardial infarction were adjusted for. Anxiety, depressive symptoms and social support were found to mediate the relationship between Type D personality and HRQoL. Type D personality exerted a stable effect on HRQoL over 24 months follow-up period. Type D personality has an independent significant effect on the HRQoL in CAD patients with heart failure, and this relation is mediated by anxiety and depressive symptoms, social support.

302 citations

Journal ArticleDOI
TL;DR: Results suggest Quantitative quality of life assessments can be used in conjunction with formal neuropsychological testing of mood and cognition when evaluating patients with epilepsy.
Abstract: Objective: To examine the relationship of objectively assessed cognitive functioning to self-reported quality of life. Design: Correlational, multiple regression, and factor analytic comparisons of a new self-report quality of life inventory with neuropsychological tests of cognition and mood. Subjects: Two hundred fifty-seven patients with epilepsy. Setting: Twenty-five epilepsy centers and neurology clinics across the United States. Measures: A recently developed self-report (ie, Quality of Life in Epilepsy—89 inventory) and objective tests of memory, verbal abilities, spatial functions, psychomotor and cognitive processing speed, cognitive flexibility, and mood. Results: Factors that assessed mood, psychomotor speed, verbal memory, and language correlated significantly with selected scales of the Quality of Life in Epilepsy—89 inventory ( P P P r =−.20 to r =−.73) and was the strongest predictor of quality of life in regression analyses (46.7% explained variance, P Conclusions: Mood may be adversely affected by diminished quality of life, or perceived quality of life may be affected by mood disturbance. Quantitative quality of life assessments can be used in conjunction with formal neuropsychological testing of mood and cognition when evaluating patients with epilepsy.

302 citations

Journal ArticleDOI
TL;DR: Improved HRQoL was evident after non‐surgical weight loss, but was not consistently demonstrated, even in randomized controlled trials, which may be attributed to variation in quality of reporting, assessment measures, study populations and weight‐loss interventions.
Abstract: This is the first systematic review of reviews to assess the effect of obesity and weight loss on health-related quality of life (HRQoL). We identified 12 meta-analyses/systematic reviews published between January 2001 and July 2016. They addressed the following themes: (i) the relationship between weight/body mass index and HRQoL (baseline/pre-intervention; n = 2). (ii) HRQoL after weight loss (varied interventions and/or study design; n = 2). (iii) HRQoL after weight loss (randomized controlled trials only; n = 2). (iv) HRQoL after bariatric surgery (n = 6). We found that in all populations, obesity was associated with significantly lower generic and obesity-specific HRQoL. The relationship between weight loss and improved HRQoL was consistently demonstrated after bariatric surgery, perhaps due to a greater than average weight loss compared with other treatments. Improved HRQoL was evident after non-surgical weight loss, but was not consistently demonstrated, even in randomized controlled trials. This inconsistency may be attributed to variation in quality of reporting, assessment measures, study populations and weight-loss interventions. We recommend longer-term studies, using both generic and obesity-specific measures, which go beyond HRQoL in isolation to exploring mediators of HRQoL changes and interactions with other variables, such as comorbidities, fitness level and body image.

301 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202234
20213,682
20203,334
20192,964
20182,699
20172,902