9 resultados para Sleep health


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OBJECTIVES: The aim of this study was to examine the co-occurrence of obesity and sleep problems among employees and workplaces. METHODS: We obtained data from 39 873 men and women working in 3040 workplaces in 2000-2002 (the Finnish Public Sector Study). Individual- and workplace-level characteristics were considered as correlates of obesity and sleep problems, which were modelled simultaneously using a multivariate, multilevel approach. RESULTS: Of the participants, 11% were obese and 23% reported sleep problems. We found a correlation between obesity and sleep problems at both the individual [correlation coefficient 0.048, covariance 0.047, standard error (SE) 0.005) and workplace (correlation coefficient 0.619, covariance 0.068, SE 0.011) level. The latter, but not the former, correlation remained after adjustment for individual- and workplace-level confounders, such as age, sex, socioeconomic status, shift work, alcohol consumption, job strain, and proportion of temporary employees and manual workers at the workplace. CONCLUSIONS: Obese employees and those with sleep problems tend to cluster in the same workplaces, suggesting that, in addition to targeting individuals at risk, interventions to reduce obesity and sleep problems might benefit from identifying "risky" workplaces.

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Background: Although sleep problems are commonly reported among dementia caregivers, the nature and frequency of caregiver sleep disruptions, and their relationship to health status, has received little empirical attention to date. Methods: The current study investigated the sleep situations of a sample of 60 spousal caregivers currently residing with a Alzheimer disease care recipient, including the frequency of nocturnal disruptions by the care recipient, and the reasons for these disruptions. In addition, exploratory correlations were computed between caregiver sleep variables and health outcomes. Results: Some 63% of spousal caregivers reported sleep disruptions due to the nocturnal behavior of the recipients of their care. Poorer caregiver sleep quality was associated with higher frequency of nocturnal disruptions by the care recipient, the care recipient needing to use the bathroom, and wandering, higher caregiver depressive symptoms, and higher levels of caregiver role burden. The frequency of nocturnal disruptions was associated with poorer mental health status and a greater number of depressive symptoms. Conclusions: Results suggest that nocturnal disruptions by the care recipient may have adverse health consequences for spousal caregivers, and that further study of the determinants of caregiver sleep quality and health outcomes are warranted. © 2007 International Psychogeriatric Association.

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It has been acknowledged that poor quality of sleep significantly correlates with poor quality of life; evidence suggests that counselling has a positive impact not only on the cancer patient's quality of life, but also on family members and friends. The aim of this service evaluation was to determine if there was an improvement in clients’ quality of life and sleep patterns following counselling as offered by a local cancer charity. A total of 60 matched pre- and post-counselling questionnaires were completed and subjected to statistical analysis. When considering quality of life, in the domains of Role Emotional, Mental Health and Mental Component Summary Score, it can be concluded that counselling has a positive effect on emotional health and mental wellbeing. The mean total number of hours sleep per night significantly increased from 6 hours sleep per night at baseline to 6.8 hours sleep per night at the completion of counselling (p=0.005) showing clients gained an extra 48 minutes sleep per night. The improved emotional and mental wellbeing alongside the extra 48 minutes sleep per night provides evidence that there is a positive outcome for those patients and families who use counselling services. Nurses and other members of the multidisciplinary team should be encouraged to discuss supportive therapies with patients and those affected by cancer at all stages of the cancer trajectory, regardless of social status, gender or cancer type.

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Sleep quality and duration are increasingly recognised as being important prognostic parameters in the assessment of an individual's health. However, reliable non-invasive long-term monitoring of sleep in a non-clinical setting remains a challenging problem. This paper describes the validation of a novel under mattress pressure sensing sleep monitoring modality that can be seamlessly integrated into existing home environments and provides a pervasive and distributed solution for monitoring long-term changes in sleep patterns and sleep disorders in adults. 410 minutes of concomitant Under Mattress Bed Sensor (UMBS) and strain gauge data were analysed from eight healthy adults lying passively. In this analysis, customised respirations rate detection algorithms yielded a mean difference of −0.12 breaths per five minutes and a mean percentage error (MPE) of 0.16% when the sensor was placed beneath the mattress. 1,491 minutes of UMBS and video data were recorded simultaneously from four participants in order to assess the movement detection efficacy of customised UMBS algorithms. These algorithms yielded accuracies, sensitivities and specificities of over 90% when compared to a video-based movement detection gold standard. A reduced data set (267 minutes) of wrist actigraphy, the gold standard ambulatory sleep monitor, was recorded. The UMBS was shown to outperform the movement detection ability of wrist actigraphy and has the added advantage of not requiring active subject participation.

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Background: Comparative effectiveness research (CER) is intended to inform decision making in clinical practice, and is central to patientcentered outcomes research (PCOR). Purpose: To summarize key aspects of CER definitions and provide examples highlighting the complementary nature of efficacy and CER studies in pulmonary, critical care, and sleep medicine. Methods: An ad hoc working group of the American Thoracic Society with experience in clinical trials, health services research, quality improvement, and behavioral sciences in pulmonary, critical care, and sleepmedicinewas convened. The group used an iterative consensus process, including a reviewbyAmerican Thoracic Society committees and assemblies. Results: The traditional efficacy paradigm relies on clinical trials with high internal validity to evaluate interventions in narrowly defined populations and in research settings. Efficacy studies address the question, "Can it work in optimal conditions?" The CER paradigm employs a wide range of study designs to understand the effects of interventions in clinical settings. CER studies address the question, "Does it work in practice?" The results of efficacy and CER studies may or may not agree. CER incorporates many attributes of outcomes research and health services research, while placing greater emphasis on meeting the expressed needs of nonresearcher stakeholders (e.g., patients, clinicians, and others). Conclusions: CER complements traditional efficacy research by placing greater emphasis on the effects of interventions in practice, and developing evidence to address the needs of the many stakeholders involved in health care decisions. Stakeholder engagement is an important component of CER. Copyright © 2013 by the American Thoracic Society.

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Introduction Sleep disturbances are common in critically ill patients treated in the intensive care unit (ICU) with the potential for serious consequences and long-term effects on health outcomes and patient morbidity.
Objectives Our aim was to describe sleep management and sedation practices of adult ICUs in ten countries and to evaluate roles and responsibilities of the ICU staff in relation to key sleep and sedation decisions.
Methods A multicenter, self-administered survey sent to nurse managers of adult ICUs across 10 countries. The questionnaire comprised four domains: sleep characteristics of the critically ill; sleep and sedation practices; non-pharmacological and pharmacological interventions used to improve sleep; and the autonomy and influence of nurses on sleeping practices in the ICU.
Results Overall response rate was 66% (range 32% UK to 100% Cyprus), providing data from 522 ICUs. In all countries, the most frequent patient characteristic perceived to identify sleep was lying quietly with closed eyes (N=409, 78%) (range 92% Denmark to 36% Italy). The most commonly used sedation scale was the Richmond Agitation-Sedation Score (RASS) (N=220, 42%) (range 81% UK to 0% Denmark, Cyprus where most ICUs used the Ramsay score). In most ICUs, selection of sleep medication (N=265, 51%) and assessment of effect (N=309, 59%) was performed by physicians and nurses based on collaborative discussion. In a minority of ICUs (N=161, 31%), decisions and assessments were made by physicians alone. The most commonly used (in all countries) non-pharmacological intervention to promote sleep was reducing ICU staff noise (N=473, 91%) (range 100% Denmark, Norway to 78% Canada). Only 95 ICUs (18%) used earplugs on a frequent basis (range 0% Greece, Cyprus, Denmark to 57% Sweden). Propofol was the drug used most commonly for sedation (N=359, 69%) (range 96% Sweden to 29% Canada). Chloral hydrate was used by only 63 (12%) ICUs (range 0% Greece, Cyprus, Denmark, Italy to 56% Germany). Sedation scales were used on a routine basis by 77% of the 522 ICUs. Participants scored nursing autonomy for sleep and sedation management as moderate; median score of 5 (scale of 0 to 10), range 7 (Canada, Greece, Sweden) to 4 (Norway, Poland). Nursing influence on sleep and sedation decisions was perceived considerable; median score 8, range 9 (Denmark) to 5 (Poland).
Conclusions We found considerable across country variation in sleep promotion and sedation management practices though most have adopted a sedation scale as recommended in professional society guidelines. Most ICUs in all countries used a range of pharmacological and non-pharmacological interventions to promote sleep. Most units reported inter-professional decision-making with nurses perceived to have substantial influence on sleep/sedation decisions.


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Poor sleep is increasingly being recognised as an important prognostic parameter of health. For those with suspected sleep disorders, patients are referred to sleep clinics which guide treatment. However, sleep clinics are not always a viable option due to their high cost, a lack of experienced practitioners, lengthy waiting lists and an unrepresentative sleeping environment. A home-based non-contact sleep/wake monitoring system may be used as a guide for treatment potentially stratifying patients by clinical need or highlighting longitudinal changes in sleep and nocturnal patterns. This paper presents the evaluation of an under-mattress sleep monitoring system for non-contact sleep/wake discrimination. A large dataset of sensor data with concomitant sleep/wake state was collected from both younger and older adults participating in a circadian sleep study. A thorough training/testing/validation procedure was configured and optimised feature extraction and sleep/wake discrimination algorithms evaluated both within and across the two cohorts. An accuracy, sensitivity and specificity of 74.3%, 95.5%, and 53.2% is reported over all subjects using an external validation
dataset (71.9%, 87.9% and 56%, and 77.5%, 98% and 57% is reported for younger and older subjects respectively). These results compare favourably with similar research, however this system provides an ambient alternative suitable for long term continuous sleep monitoring, particularly amongst vulnerable populations.