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225 results for “health-related quality of life”
Title: Health-Related Quality of Life and DNA Methylation-Based Aging Biomarkers among Survivors of Childhood Cancer
<p><strong><span>Abstract</span></strong></p> <p><strong><span>Background: </span></strong><span>Childhood cancer survivors are at high risk for morbidity and mortality and poor patient-reported outcomes, typically health-related-quality-of-life (HRQOL). However, </span><span>associations between DNA methylation (DNAm)-based aging biomarkers and HRQOL have not been evaluated.</span></p> <p><strong><span>Methods: </span></strong><span>DNAm was generated with Infinium EPIC BeadChip on blood-derived DNA (median[range] for age at blood draw=34.5[18.5-66.6] years) and HRQOL was assessed with age at survey (32.3[18.4-64.5] years) from 2,206 survivors in the St. Jude Lifetime Cohort. DNAm-based aging biomarkers, including epigenetic age using multiple clocks (e.g., <span>GrimAge</span>) and others (e.g., DNAmB2M: beta-2-microglobulin; DNAmADM: adrenomedullin), were derived from the DNAm Age Calculator (https://dnamage.genetics.ucla.edu). HRQOL was assessed using the Medical Outcomes Study 36-Item Short-Form Health Survey to capture eight domains, and physical and mental component summaries (PCS and MCS). General linear models evaluated associations between HRQOL and epigenetic age acceleration (EAA, e.g., EAA_GrimAge) or other age-adjusted DNAm-based biomarkers (e.g., ageadj_DNAmB2M) after adjusting for age at blood draw, sex, cancer treatments, and DNAm-based surrogate for smoking pack-years. All P values were 2-sided.</span></p> <p><strong><span>Results: </span></strong><span>Worse HRQOL was associated with greater EAA_GrimAge (</span><span>PCS: β[95%CI]=-0.18[-0.251,-0.11] years, P=1.85×10<sup>-5</sup>; and four individual HRQOL domains), followed by ageadj_DNAmB2M (PCS: -0.08[-0.124,-0.037], P=0.003; and three individual HRQOL domains), and ageadj_DNAmADM (PCS: -0.082[-0.125,-0.039], P=0.002; and two HRQOL domains). EAA_Hannum (Hannum clock) was not associated with any HRQOL.</span></p> <p><strong>Conclustion: </strong>Overall and domain-specific measures of HRQOL are associated with DNAm measures of biological aging. Future longitudinal studies should test biological aging as a potential mechanism.</p>
Health-related quality of life and musculoskeletal pain in health sciences university students
<p><strong>Purpose: </strong>To analyse the health-related quality of life and associated variables in health science university students. Secondly, to determine the prevalence of musculoskeletal pain and central sensitisation, and the differences by gender.</p> <p><strong>Methods: </strong>Cross-sectional study among health sciences university students, using anonymous, self-administered questionnaires (SF-12, Nordic Musculoskeletal Questionnaire (NMQ), Numeric Pain Rating Scale (NRS), Central Sensitisation Inventory (SCI)).</p> <p><strong>Results: </strong>Three hundred and thirty eight students were included (76.3% female; age 22.5±4.9 years). The mean SF-12 Physical Component Summary was higher than the mean of 50 in the Spanish adult population as a whole for both female and male students (54.6 vs. 55.9; p=0.02), whereas the mean SF-12 Mental Component Summary was lower than the population mean (36.7 vs. 42.8; p<0.001). These differences persisted when compared with age- and sex-matched population standardized scores.</p> <p>A high prevalence of musculoskeletal pain was observed, particularly in the back area. Pain was generalised, chronic, of moderate intensity, and more frequent in women.</p> <p>Variables associated with worse physical health were being female (B=-1.5; p=0.035), having a disability (B=-4.6; p<0.001), chronic musculoskeletal pain at any site (B=-2.1; p=0.001), and a score ≥40 on the SCI (B=-3.2: p<0.001). The only variable associated with poorer mental health was the SCI score.</p> <p><strong>Conclusion: </strong>Health sciences university students report a significant deterioration in mental health and a high prevalence of musculoskeletal pain, with symptoms of central sensitisation associated with poorer physical and mental health. Women have worse mental health and a higher prevalence, intensity and chronification of musculoskeletal pain.</p>
Can we collect health-related quality of life information from anticoagulated atrial fibrillation participants who have recently experienced a bleed? An observational feasibility study in primary, and secondary care and through an online forum
<p>The purpose of the study was to evaluate the feasibility of recruiting participants diagnosed with atrial fibrillation (AF) taking oral anticoagulation therapies (OACs) and recently experiencing a bleed to collect health-related quality of life (HRQoL) information.</p> <p><strong>Design</strong></p> <p>Observational feasibility study. The study aimed to determine the feasibility of recruiting participants with minor and major bleeds, the most appropriate route for recruitment and the appropriateness of the Patient Reported Outcome Measures (PROMs) selected for collecting HRQoL information in AF patients, and the preferred format of the surveys.</p> <p><strong>Setting</strong></p> <p>Primary care, secondary care, and via an online patient forum.</p> <p><strong>Participants</strong></p> <p>The study population was adult patients (≥ 18) with Atrial Fibrillation (AF) taking oral anticoagulation therapies (OATs) who had experienced a recent major or minor bleed within the last four weeks.</p> <p><strong>Primary and Secondary outcome measures</strong></p> <p>Primary outcome:</p> <p>Patient reported outcome measures (PROMs): EuroQol 5 dimensions-5 levels (EQ-5D-5L); Perception of anticoagulant treatment questionnaire, part 2 only (PACT-Q, part 2); Atrial fibrillation effect on quality of life (AFEQT)</p> <p>Secondary outcomes:</p> <p>Location of bleed; bleed severity; current treatment; patient perceptions of HRQoLin relation to bleeding events.</p> <p><strong>Results</strong></p> <p>We received initial expressions of interest from 103 participants. We subsequently recruited 32 participants to the study- 14 from primary care and 18 through the AF forum. No participants were recruited through secondary care. Despite 32 participants consenting, only 26 initial surveys were completed. We received follow-up surveys from 11 participants (8 primary care and 3 AF forum). COVID-19 had a major impact on the study. </p> <p><strong>Conclusions</strong></p> <p>Primary care was the most successful route for recruitment. Most participants recruited to the study experienced a minor bleed. Further ways to recruit in secondary care should be explored, especially to capture more serious bleeds. </p> <p><strong>Registration</strong></p> <p>The study was adopted onto the NIHR Portfolio (I.D. #47771) and registered with www.ClinicalTrials.gov (#NCT04921176) in February 2021.</p> <p>Dataset contains all anonymised data for the participants who completed the survey including demographics, details of bleeds, co-morbidities and completed patient reported outcomes</p>
Patient-reported outcomes predict return to work and health-related quality of life 6 months after cardiac rehabilitation: Results from a German multi-centre registry (OutCaRe): dataset
<p>This is the resulting data set from the prospective observational study (available cases at the time of follow up monitoring) OutCaRe, that is the basis of all results presented in the article "Patient-reported outcomes predict return to work and health-related quality of life 6 months after cardiac rehabilitation: Results from a German multi-centre registry (OutCaRe)".</p> <p>OutCaRe is a registered study (https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00011418).</p>
Data from: Association between night-shift work, sleep quality, and health-related quality of life : a cross-sectional study among manufacturing workers in a middle-income setting
<p>Objectives: Night-shift work may adversely affect health. This study aimed to determine the impact of night-shift work on health-related quality of life (HRQoL), and assess whether sleep quality was a mediating factor.</p> <p>Design: Cross-sectional study.</p> <p>Setting: 11 manufacturing factories in Malaysia.</p> <p>Participants: 177 night-shift workers aged 40 to 65 years old were compared with 317 non-night-shift work.</p> <p>Primary and secondary outcomes: Participants completed a self-administered questionnaire on socio-demography and lifestyle factors, short Form-12v2 Health Survey (SF-12), and the Pittsburgh Sleep Quality Index (PSQI). Baron and Kenny's method, Sobel test and multiple mediation model with bootstrapping were used to determine whether PSQI score or its components mediated the association between night-shift work and HRQoL.</p> <p>Results: Night-shift work was associated with sleep impairment and HRQoL. Night-shift workers had significantly lower mean scores in all the eight SF-12 domains (p<0.001). Compared to non-night shift workers, night-shift workers were significantly more likely to report poorer sleep quality, longer sleep latency, shorter sleep duration, sleep disturbances, and daytime dysfunction (p<0.001). Mediation analyses showed that PSQI global score mediated the association between night-shift work and HRQoL. "Subjective sleep quality" (indirect effect=-0.24, standard error [SE]=0.14, bias corrected 95%Confidence Interval [BC 95%CI]: -0.58 to -0.01) and "sleep disturbances" (indirect effect=-0.79, SE=0.22, BC 95%CI: -1.30 to -0.42) were mediators for the association between night-shift work and physical wellbeing, whereas "sleep latency" (indirect effect=-0.51, SE=0.21, BC 95%CI: -1.02 to -0.16) and "daytime dysfunction" (indirect effect=-1.11, SE=0.32, BC 95%CI: -1.86 to -0.58) were mediators with respect to mental wellbeing.</p> <p>Conclusion: Sleep quality partially explains the association between night-shift work and poorer HRQoL. Organisations should treat the sleep quality of night-shift workers as a top priority area for action in order to improve their employees' overall wellbeing.</p>
Linking 23 physical activity intensity levels to health-related quality of life in 10-year-old children
<p>This anonymized data is a subset of the ASK study: <br>Resaland, G.K., Moe, V.F., Aadland, E., et al. Active Smarter Kids (ASK): Rationale and design of a cluster-randomized controlled trial investigating the effects of daily physical activity on children’s academic performance and risk factors for non-communicable diseases.BMC Public Health 15, 709 (2015). https://doi.org/10.1186/s12889-015-2049-y</p> <p>The ASK study was approved by the Regional Committees for Medical and Health Research Ethics in Norway (reference number: 2013/1893) and registered at www.Clinicaltrials.gov with ID NCT02132494. </p> <p>The selected cross-sectional baseline data in this file are used in the following unpublished paper: <br>Stai, M., Aadland, E., Andersen, J.R. (Year). *Linking 23 physical activity intensity levels to health-related quality of life in 10-year-old children.</p> <p>The data is stored in Excel. <br><br>Explanations: <br>- #NULL! = missing data<br>- Sex (0 = Girl, 1= Boy) <br>- Overweight or obesity (0 = No, 1 = Yes)<br>- All other data has labeling that is self-explanatory. </p> <p>Corresponding Author: <br>John Roger Andersen, johnra@hvl.no </p> <p> </p>
Living Standards Capabilities, Health-Related Quality of Life and Life Satisfaction among Older Adults
<p>This study attempts to analyse the Structural Relationship between Living Standards Capabilities, Health-Related Quality of Life and Life Satisfaction among Older Adults</p>
Data analysis for "Wellbeing, loneliness, health-related quality of life and perception of technology of older adults in Slovenian senior homes"
<p>We present datasets data analysis conducted in R for the article"Wellbeing, loneliness, health-related quality of life and perception of technology of older adults in Slovenian senior homes".</p>
Probiotics and Health-related Quality of Life in Individuals With Seasonal Allergies
ClinicalTrials.gov study NCT02349711. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Health-related Quality of Life and Long COVID
ClinicalTrials.gov study NCT05552612. IPD Sharing: YES. Countries: 1. Publications: 1.
A Study Evaluating the Efficacy and Impact on Health-related Quality of Life of Levocetirizine in Adults With Seasonal Allergic Rhinitis
ClinicalTrials.gov study NCT00621959. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Obesity and Health-related Quality of Life in Patients Receiving Bariatric Surgery in the UK
ClinicalTrials.gov study NCT06324526. IPD Sharing: NO. Countries: 1. Publications: 2.
Psychological Well-Being, Depression, and Health-Related Quality of Life in Adults With Type 2 Diabetes: A Cross-Sectional Study
ClinicalTrials.gov study NCT07241325. IPD Sharing: YES. Countries: 1. Publications: 2.
Data from: Association between night-shift work, sleep quality, and health-related quality of life : a cross-sectional study among manufacturing workers in a middle-income setting
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Data from: Economic costs and health-related quality of life for hand, foot and mouth disease (HFMD) patients in China
Background: Hand, foot and mouth disease (HFMD) is a common illness in China that mainly affects infants and children. The objective of this study is to assess the economic cost and health-related quality of life associated with HFMD in China. Method: A telephone survey of caregivers were conducted in 31 provinces across China. Caregivers of laboratory-confirmed HFMD patients who were registered in the national HFMD enhanced surveillance database during 2012-2013 were invited to participate in the survey. Total costs included direct medical costs (outpatient care, inpatient care and self-medication), direct non-medical costs (transportation, nutrition, accommodation and nursery), and indirect costs for lost income associated with caregiving. Health utility weights elicited using EuroQol EQ-5D-3L and EQ-Visual Analogue Scale (VAS) were used to calculate associated loss in quality adjusted life years (QALYs). Results: The subjects comprised 1136 mild outpatients, 1124 mild inpatients, 1170 severe cases and 61 fatal cases. The mean total costs for mild outpatients, mild inpatients, severe cases and fatal cases were $201 (95%CI $187, $215), $1072 (95%CI $999, $1144), $3051 (95%CI $2905, $3197) and $2819 (95%CI $2068, $3571) respectively. The mean QALY losses per HFMD episode for mild outpatients, mild inpatients and severe cases were 3.6 (95%CI 3.4, 3,9), 6.9 (95%CI 6.4, 7.4) and 13.7 (95%CI 12.9, 14.5) per 1000 persons. Cases who were diagnosed with EV-A71 infection and had longer duration of illness were associated with higher total cost and QALY loss. Conclusion: HFMD poses a high economic and health burden in China. Our results provide economic and health utility data for cost-effectiveness analysis for HFMD vaccination in China.
Data from: Is the association between health-related quality of life and fatigue mediated by depression in patients with multiple sclerosis? A Spanish cross sectional study
Objectives: To determine the mediating effects of depression on health-related quality of life and fatigue in individuals with multiple sclerosis (MS). Design: A cross-sectional study. Setting: Tertiary urban hospital. Participants: One hundred and eight patients (54% women) with MS participated in this study. Outcome measures: Demographic and clinical data (weight, height, medication, and neurological impairment), fatigue (Fatigue Impact Scale-FIS), depression (Beck Depression Inventory-BDI/II) and health-related quality of life (Short-Form Health Survey 36 - SF36) were collected. Results: Fatigue was significantly associated with bodily pain, physical function, mental health and depression. Depression was associated with bodily pain and mental health. The path analysis found direct effect from physical function, bodily pain and depression to fatigue (all, P<0.01). The path model analysis revealed that depression exerted a mediator effect from bodily pain to fatigue (B=-0.04, P<0.01) and from mental health to fatigue (B=-0.16 P<0.01). The amount of fatigue explained by all predictors in the path model was 37%. Conclusions: This study found that depression mediates the relationship between some health-related quality of life domains and fatigue in people with MS. Future longitudinal studies focusing on proper management of depressive symptoms in individuals with MS will help to determine the clinical implications of these findings.
Long-term health-related quality of life, healthcare utilisation and back-to-work activities in Intensive Care Unit survivors: prospective confirmatory study from the Frisian Aftercare Cohort
<p>More substantial information on recovery after Intensive Care Unit (ICU) admission is urgently needed. In a previous retrospective study, the proportion of non-recovery patients was 44%. The aim of this prospective follow-up study was to evaluate changes Health-Related Quality of Life (HRQoL) in the first year after ICU-admission. Long-stay adult ICU-patients (≥ 48 hours) were included. HRQoL was evaluated with the Dutch translation of the RAND-36 item Health Survey (RAND-36) at baseline via proxy measurement, and at three, six, and twelve months after ICU admission. Subsequently, the relation between physical functioning, healthcare utilisation, and work activities was explored. </p>
Lifelong traumatic events, social support, and health-related quality of life among older adults
<p><strong>Purpose</strong>. The present study aimed to investigate the relation between lifelong exposure to traumatic life events and health-related quality of life in a sample of older people. We also assessed the moderating role of social support in the relation between traumatic life events exposure and quality of life. <strong>Method</strong>. A sample of 172 participants (<em>M</em>age = 68.81, <em>SD</em> = 7.15; 68.6% female and 31.4% male) was involved in this study. The participants completed scales measuring lifelong exposure to traumatic events, social support, and health-related quality of life. <strong>Results</strong>. The results showed that lifelong exposure to traumatic events was negatively related to physical functioning, emotional well-being, social functioning, and general health perception. It was also positively related to body pain, role limitations due to physical health problems and role limitations due to personal or emotional problems. Moreover, social support moderated the relation between traumatic life events exposure and dimensions of health-related quality of life. High social support from family contributed to reduced role limitations following trauma exposure, whereas more social support from friends led to poorer emotional well-being. <strong>Discussion</strong>. Geriatric services could identify and implement adequate measured to provide social support and to improve different dimensions of quality of life among older adults.</p>
St. Jude Lifetime Study Cohort variables of determinants of health-related quality-of-life in adult survivors of childhood cancer
<p>The dataset contains variables from the St. Jude Lifetime Cohort Study used in the study of determinants of utility-based health-related quality-of-life in adult survivors of childhood cancer reported in Horan et al., 2023 (DOI:<a href="https://doi.org/10.1016/j.eclinm.2023.101921">https://doi.org/10.1016/j.eclinm.2023.101921</a>). Please cite the appropriate publications (this repository and corresponding publication above) in any communications or publications arising directly or indirectly from these data. </p> <p><strong>Funding:</strong></p> <p>The research reported in the manuscript was supported by the U.S. National Cancer Institute under award numbers U01CA195547 (Hudson/Ness), R01CA238368 (Huang/Baker), R01CA258193 (Huang/Yasui), R01CA270157 (Bhakta/Yasui), and T32CA225590 (Krull). The content is solely the responsibility of the authors and does not necessarily represent the official views of the funding agencies.</p>
Health-related Quality of Life and Late Effects Among SURVivors of Cancer in Adolescence and Young Adulthood: The SURVAYA Study
ClinicalTrials.gov study NCT05379387. IPD Sharing: YES. Countries: 1. Publications: 2.
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.