65 resultados para Conditions of life and health
em Université de Lausanne, Switzerland
Resumo:
BACKGROUND: Outcome after lung transplantation (LTx) is affected by the onset of bronchiolitis obliterans syndrome (BOS) and lung function decline. Reduced health-related quality of life (HRQL) and physical mobility have been shown in patients developing BOS, but the impact on the capacity to walk is unknown. We aimed to compare the long-term HRQL and 6-minute walk test (6MWT) between lung recipients affected or not by BOS Grade > or =2. METHODS: Fifty-eight patients were prospectively followed for 5.6 +/- 2.9 years after LTx. Assessments included the St George's Respiratory Questionnaire (SGRQ) and the 6MWT, which were performed yearly. Moreover, clinical complications were recorded to estimate the proportion of the follow-up time lived without clinical intercurrences after transplant. Analyses were performed using adjusted linear regression and repeated-measures analysis of variance. RESULTS: BOS was a significant predictor of lower SGRQ scores (p < 0.01) and reduced time free of clinical complications (p = 0.001), but not of 6MWT distance (p = 0.12). At 7 years post-transplant, results were: 69.0 +/- 21.8% vs 86.9 +/- 5.6%, p < 0.05 (SGRQ); 58.5 +/- 21.6% vs 88.7 +/- 11.4%, p < 0.01 (proportion of time lived without clinical complications); and 82.2 +/- 10.9% vs 91.9 +/- 14.2%, p = 0.27 (percent of predicted 6MWT), respectively, for patients with BOS and without BOS. CONCLUSIONS: Despite significantly less time lived without clinical complications and progressive decline of self-reported health status, the capacity to walk of patients affected by BOS remained relatively stable over time. These findings may indicate that the development of moderate to severe BOS does not prevent lung recipients from walking independently and pursuing an autonomous life.
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Bipolar disorder has a major deleterious impact on many aspects of a patient's functioning and health-related quality of life. Although the formal measurement of these deficits has been neglected until recently, many well-designed trials now include an assessment of functioning and health-related quality of life using one or more rating scales. This review describes recent developments in the measurement of functioning and health-related quality of life in bipolar disorder, and discusses the evidence that medications that improve symptoms in bipolar disorder also offer clinically relevant benefits in functioning and health-related quality of life. Direct comparisons of the benefits of medications including atypical antipsychotics are problematic due to differences in trial populations, study durations and rating scales. Data from quetiapine trials indicate that this medication offers prompt and sustained improvement of functioning in patients with mania and enhancement of health-related quality of life in patients with bipolar depression, to accompany the significant improvements in mood episodes.
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Since 2007, the number of people living in cities exceeds that of rural areas. Thus, cities and their organizations have a major influence on all spheres of human life, especially health. This influence may generate inequality, suffering and disease, but also represent an opportunity for health and well-being. This paper introduces the concept of urban health, particularly in terms of primary care medicine and presents solutions that encompass a wide field (politics, urban planning, social inequality, education). Improving urban health requires collaboration of medical with non-medical actors, in order to become of development (re-) urban structure and promotes the health of all.
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BACKGROUND: This study assessed whether breast cancer (BC) patients express similar levels of needs for equivalent severity of symptoms, functioning difficulties, or degrees of satisfaction with care aspects. BC patients who did (or not) report needs in spite of similar difficulties were identified among their sociodemographic or clinical characteristics. PATIENTS AND METHODS: Three hundred and eighty-four (73% response rate) BC patients recruited in ambulatory or surgery hospital services completed the European Organisation for Research and Treatment of Cancer Quality of Life questionnaire (EORTC QLQ)-C30 quality of life [health-related quality of life (HRQOL)], the EORTC IN-PATSAT32 (in-patient) or OUT-PATSAT35 (out-patient) satisfaction with care, and the supportive care needs survey short form 34-item (SCNS-SF34) measures. RESULTS: HRQOL or satisfaction with care scale scores explained 41%, 45%, 40% and 22% of variance in, respectively, psychological, physical/daily living needs, information/health system, and care/support needs (P < 0.001). BC patients' education level, having children, hospital service attendance, and anxiety/depression levels significantly predicted differences in psychological needs relative to corresponding difficulties (adjusted R(2) = 0.11). Medical history and anxiety/depression levels significantly predicted differences in information/health system needs relative to degrees of satisfaction with doctors, nurses, or radiotherapy technicians and general satisfaction (adjusted R(2) = 0.12). Unmet needs were most prevalent in the psychological domains across hospital services. CONCLUSIONS: Assessment of needs, HRQOL, and satisfaction with care highlights the subgroups of BC patients requiring better supportive care targeting.
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PURPOSE: Health-related quality of life (HRQoL) is considered a representative outcome in the evaluation of chronic disease management initiatives emphasizing patient-centered care. We evaluated the association between receipt of processes-of-care (PoC) for diabetes and HRQoL. METHODS: This cross-sectional study used self-reported data from non-institutionalized adults with diabetes in a Swiss canton. Outcomes were the physical/mental composites of the short form health survey 12 (SF-12) physical composite score, mental composite score (PCS, MCS) and the Audit of Diabetes-Dependent Quality of Life (ADDQoL). Main exposure variables were receipt of six PoC for diabetes in the past 12 months, and the Patient Assessment of Chronic Illness Care (PACIC) score. We performed linear regressions to examine the association between PoC, PACIC and the three composites of HRQoL. RESULTS: Mean age of the 519 patients was 64.5 years (SD 11.3); 60% were male, 87% reported type 2 or undetermined diabetes and 48% had diabetes for over 10 years. Mean HRQoL scores were SF-12 PCS: 43.4 (SD 10.5), SF-12 MCS: 47.0 (SD 11.2) and ADDQoL: -1.6 (SD 1.6). In adjusted models including all six PoC simultaneously, receipt of influenza vaccine was associated with lower ADDQoL (β=-0.4, p≤0.01) and foot examination was negatively associated with SF-12 PCS (β=-1.8, p≤0.05). There was no association or trend towards a negative association when these PoC were reported as combined measures. PACIC score was associated only with the SF-12 MCS (β=1.6, p≤0.05). CONCLUSIONS: PoC for diabetes did not show a consistent association with HRQoL in a cross-sectional analysis. This may represent an effect lag time between time of process received and health-related quality of life. Further research is needed to study this complex phenomenon.
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Aims: The psychometric properties of the EORTC QLQ-BN20, a brain cancer-specific HRQOL questionnaire, have been previously determined in an English-speaking sample of patients. This study examined the validity and reliability of the questionnaire in a multi-national, multi-lingual study. Methods: QLQ-BN20 data were selected from two completed phase III EORTC/NCIC clinical trials in brain cancer (N=891), including 12 languages. Experimental treatments were surgery followed by radiotherapy (RT) and adjuvant PCV chemotherapy or surgery followed by concomitant RT plus temozolomide (TMZ) chemotherapy and adjuvant TMZ chemotherapy. Standard treatment consisted of surgery and postoperative RT alone. The psychometrics of the QLQ-BN20 were examined by means of multi-trait scaling analyses, reliability estimation, known groups validity testing, and responsiveness analysis. Results: All QLQ-BN20 items correlated more strongly with their own scale (r>0.70) than with other QLQ-BN20 scales. Internal consistency reliability coefficients were high (all alpha0.70). Known-groups comparisons yielded positive results, with the QLQ-BN20 distinguishing between patients with differing levels of performance status and mental functioning. Responsiveness of the questionnaire to changes over time was acceptable. Conclusion: The QLQ-BN20 demonstrates adequate psychometric properties and can be recommended for use in conjunction with the QLQ-C30 in assessing the HRQOL of brain cancer patients in international studies.
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The data of the 1981-83 Swiss National Health Survey "SOMIPOPS", based on a randomly selected sample of 4,235 individuals aged 20 or over representative of the whole Swiss population, were used to investigate the relation between smoking, prevalence of disease and frequency of health care utilization. The risks of several conditions, including hypertension, myocardial infarction and other heart diseases, asthma, tuberculosis and kidney disease were elevated among ex-smokers. The diseases showing elevated risks among current smokers and significantly positive dose-risk trends included acute bronchitis (relative risk, RR = 3.2 for heavy cigarette smokers vs never smokers), chronic bronchitis or lung emphysema (RR = 2.0), gastro-duodenal ulcer (RR = 1.8) and bone fractures (RR = 1.6). For respiratory conditions, the risk of pipe or cigar smokers was comparable to that of moderate cigarette smokers, whereas for ulcer (RR = 4.1) or fractures (RR = 2.0) the point estimates were even higher than for heavy cigarette smokers. Smokers tended to consult more frequently general practitioners, used more other outpatients services, and were more frequently admitted to hospital during the year preceding the interview. These effects were consistent across strata of age, socio-economic indicators, and persisted after allowance for major identified potential distorting factors. Thus, the results of this survey confirm that smoking is an important cause of morbidity and a major contributory factor to the use of health services.
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Autophagy is a cellular mechanism for degrading proteins and organelles. It was first described as a physiological process essential for cellular health and survival, and this is its role in most cells. However, it can also be a mediator of cell death, either by the triggering of apoptosis or by an independent "autophagic" cell death mechanism. This duality is important in the central nervous system, where the activation of autophagy has recently been shown to be protective in certain chronic neurodegenerative diseases but deleterious in acute neural disorders such as stroke and hypoxic/ischemic injury. The authors here discuss these distinct roles of autophagy in the nervous system with a focus on the role of autophagy in mediating neuronal death. The development of new therapeutic strategies based on the manipulation of autophagy will need to take into account these opposing roles of autophagy.
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OBJECTIVES: Beyond its well-documented association with depressive symptoms across the lifespan, at an individual level, quality of life may be determined by multiple factors: psychosocial characteristics, current physical health and long-term personality traits. METHOD: Quality of life was assessed in two distinct community-based age groups (89 young adults aged 36.2 ± 6.3 and 92 older adults aged 70.4 ± 5.5 years), each group equally including adults with and without acute depressive symptoms. Regression models were applied to explore the association between quality of life assessed with the World Health Organization Quality of Life - Bref (WHOQOL-Bref) and depression severity, education, social support, physical illness, as well as personality dimensions as defined by the Five-Factor Model. RESULTS: In young age, higher quality of life was uniquely associated with lower severity of depressive symptoms. In contrast, in old age, higher quality of life was related to both lower levels of depressive mood and of physical illness. In this age group, a positive association was also found between quality of life and higher levels of Openness to experience and Agreeableness personality dimensions. CONCLUSION: Our data indicated that, in contrast to young cohorts, where acute depression is the main determinant of poor quality of life, physical illness and personality dimensions represent additional independent predictors of this variable in old age. This observation points to the need for concomitant consideration of physical and psychological determinants of quality of life in old age.
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Järvholm and Co-workers (2009) proposed a conceptual model for research on working life. Models are powerful communication and decision tools. This model is strongly unidirectional and does not cover the mentioned interactions in the arguments.With help of a genealogy of work and of health it is shown that work and health are interactive and have to be analysed on the background of society.Key words: research model, work, health, occupational health, society, interaction, discussion paperRemodellierung der von Järvholm et al. (2009) vorgeschlagenen Forschungsperspektiven in Arbeit und GesundheitJärvholm und Kollegen stellten 2009 ein konzeptionelles Modell für die Forschung im Bereich Arbeit und Gesundheit vor. Modelle stellen kraftvolle Kommunikations- und Entscheidungsinstrumente dar. Die Einflussfaktoren im Modell verlaufen jedoch nur in einer Richtung und bilden die interaktiven Argumente im Text nicht ab. Mit Hilfe einer Genealogie der Begriffe Arbeit und Gesundheit wird aufgezeigt, dass Arbeit und Gesundheit sich gegenseitig beeinflussen und nur vor dem Hintergrund der jeweiligen gesellschaftlichen Kontextfaktoren zu analysieren sind.Introduction : After an interesting introduction about the objectives of research on working life, Järvholm and Co-workers (2009) manage to define a conceptual model for working life research out of a small survey of Occupational Safety and Health (OSH) definitions. The strong point of their model is the entity 'working life' including personal development, as well as career paths and aging. Yet, the model Järvholm et al. (2009) propose is strangely unidirectional; the arrows point from the population to working life, from there to health and to disease, as well as to productivity and economic resources. The diagram only shows one feed-back loop: between economic resources and health. We all know that having a chronic disease condition influences work and working capacity. Economic resources have a strong influence on work, too. Having personal economic resources will influence the kind of work someone accepts and facilitate access to continuous professional education. A third observation is that society is not present in the model, although this is less the case in the arguments. In fact, there is an incomprehensible gap between the arguments brought forth by Järvholm and co-workers and their reductionist model.Switzerland has a very low coverage of occupational health specialists. Switzerland is a long way from fulfilling the WHO's recommendations on workers' access to OSH services as described in its Global plan of action. The Institute for Work and Health (IST) in Lausanne is the only organisation which covers the major domains of OSH research that are occupational medicine, occupational hygiene, ergonomic and psychosocial research. As the country's sole occupational health institution we are forced to reflect the objectives of working life research so as not to waste the scare resources available.I will set out below a much shortened genealogy of work and of health, with the aim of extending Järvholm et al's (2009) analyses on the perspectives of working life research in two directions. Firstly towards the interactive nature of work and health and the integration of society, and secondly towards the question of what working life means or where working life could be situated.Work, as we know it today - paid work regulated by a contract as the basis for sustaining life and as a base for social rights - was born in modern era. Therefore I will start my genealogy in the pre-modern era, focus on the important changes that occurred during industrial revolution and the modern era and end in 2010 taking into account the enormous transformations of the past 20-30 years. I will put aside some 810 years of advances in science and technology that have expanded the world's limits and human understanding, and restrict my genealogy to work and to health/body implicating also the societal realm. [Author]
Resumo:
OBJECTIVE: Little is known regarding health-related quality of life and its relation with physical activity level in the general population. Our primary objective was to systematically review data examining this relationship. METHODS: We systematically searched MEDLINE, EMBASE, CINAHL, and PsycINFO for health-related quality of life and physical activity related keywords in titles, abstracts, or indexing fields. RESULTS: From 1426 retrieved references, 55 citations were judged to require further evaluation. Fourteen studies were retained for data extraction and analysis; seven were cross-sectional studies, two were cohort studies, four were randomized controlled trials and one used a combined cross sectional and longitudinal design. Thirteen different methods of physical activity assessment were used. Most health-related quality of life instruments related to the Medical Outcome Study SF-36 questionnaire. Cross-sectional studies showed a consistently positive association between self-reported physical activity and health-related quality of life. The largest cross-sectional study reported an adjusted odds ratio of "having 14 or more unhealthy days" during the previous month to be 0.40 (95% Confidence Interval 0.36-0.45) for those meeting recommended levels of physical activity compared to inactive subjects. Cohort studies and randomized controlled trials tended to show a positive effect of physical activity on health-related quality of life, but similar to the cross-sectional studies, had methodological limitations. CONCLUSION: Cross-sectional data showed a consistently positive association between physical activity level and health-related quality of life. Limited evidence from randomized controlled trials and cohort studies precludes a definitive statement about the nature of this association.
Resumo:
PURPOSE: Health benefits of sport and exercise are well documented in children, adolescents and adults, but little is known about emerging adulthood-a period of life characterized by significant demographic and developmental changes. The present study aimed to assess the health impact of changes in sport and exercise levels during that specific period of life. METHODS: The analysis used baseline and 15-month follow-up data (N = 4,846) from the cohort study on substance use risk factors. Associations between baseline exercise levels or changes in exercise levels and health indicators (i.e., health-related quality of life, depression, body mass index, alcohol dependence, nicotine dependence and cannabis use disorder) were measured using chi-squared tests and ANOVA. Direction of effects was tested using cross-lagged analysis. RESULTS: At baseline, all health indicator scores were observed to be better for regular exercisers than for other exercise levels. At follow-up, participants who had maintained regular exercise over time had better scores than those who had remained irregular exercisers or had discontinued, but their scores for health-related quality of life and depression were close to those of participants who had adopted regular exercise after the baseline questionnaire. Cross-lagged analysis indicated that regular exercise at baseline was a significant predictor of health-related quality of life and substance use dependence at follow-up, but was itself predicted only by health-related quality of life. CONCLUSIONS: From a health promotion perspective, this study emphasizes how important it is for emerging adult men to maintain, or adopt, regular sport and exercise.
Resumo:
Richer and healthier agents tend to hold riskier portfolios and spend proportionally less on health expenditures. Potential explanations include health and wealth effects on preferences, expected longevity or disposable total wealth. Using HRS data, we perform a structural estimation of a dynamic model of consumption, portfolio and health expenditure choices with recursive utility, as well as health-dependent income and mortality risk. Our estimates of the deep parameters highlight the importance of health capital, mortality risk control, convex health and mortality adjustment costs and binding liquidity constraints to rationalize the stylized facts. They also provide new perspectives on expected longevity and on the values of life and health.