45 research outputs found
General Health Status and Its Related Factors in the Nurses Working in the Educational Hospitals of Shiraz University of Medical Sciences, Shiraz, Iran, 2011
Background: Nursing is an extremely stressful profession. Nurses are confronted with a variety of personal, communicational and organizational stresses, which affect their health.
Objectives: The current study aimed to assess general health level and its related factors in employed nurses in educational hospitals affiliated to Shiraz University of medical sciences.
Materials and Methods: This cross-sectional study was performed on 126 nurses and practical nurses who work in educational hospitals affiliated to Shiraz University of medical sciences selected by multi stage sampling method. Data collecting tools included demographic characteristics and General Health Questionaire-28 (GHQ-28). Descriptive statistics are presented and Chi-square test, t-test, and analysis of variance were used to analyze the data.
Results: Of 126 subjects 75 (59.5%) cases were suspects of mental disorders. Also 12.7% had physical disorders, 15.9% had anxiety and sleep disorders, 8.7% had social dysfunction and 6.3% had depression. Average score of mental health was 28.4 .In this study mental health was significantly associated with job satisfaction and economic satisfaction (P < 0.05).
Conclusions: With regard to significant relation between mental health, job satisfaction, and economic satisfaction, a system for educating and stress reduction counseling should be established to help nurses effectively coping with stress. Also, improving the work environment, increasing staff, increasing salary, and decreasing working hours may reduce the nurses' exposure to stressful risk factors
Self-rated health in middle-aged and elderly Chinese : distribution, determinants and associations with cardio-metabolic risk factors
Background: Self-rated health (SRH) has been demonstrated to be an accurate reflection of a person's health and a valid predictor of incident mortality and chronic morbidity. We aimed to evaluate the distribution and factors associated with SRH and its association with biomarkers of cardio-metabolic diseases among middle-aged and elderly Chinese.
Methods: Survey of 1,458 men and 1,831 women aged 50 to 70 years, conducted in one urban and two rural areas of Beijing and Shanghai in 2005. SRH status was measured and categorized as good (very good and good) vs. not good (fair, poor and very poor). Determinants of SRH and associations with biomarkers of cardio-metabolic diseases were evaluated using logistic regression.
Results: Thirty two percent of participants reported good SRH. Males and rural residents tended to report good SRH. After adjusting for potential confounders, residence, physical activity, employment status, sleep quality and presence of diabetes, cardiovascular disease, and depression were the main determinants of SRH. Those free from cardiovascular disease (OR 3.68; 95%CI 2.39; 5.66), rural residents (OR 1.89; 95% CI 1.47; 2.43), non-depressed participants (OR 2.50; 95% CI 1.67; 3.73) and those with good sleep quality (OR 2.95; 95% CI 2.22; 3.91) had almost twice or over the chance of reporting good SRH compared to their counterparts. There were significant associations -and trend- between SRH and levels of inflammatory markers, insulin levels and insulin resistance.
Conclusion: Only one third of middle-aged and elderly Chinese assessed their health status as good or very good. Although further longitudinal studies are required to confirm our findings, interventions targeting social inequalities, lifestyle patterns might not only contribute to prevent chronic morbidity but as well to improve populations' perceived health
Sleep quality in middle-aged and elderly Chinese: distribution, associated factors and associations with cardio-metabolic risk factors
Background
Poor sleep quality has been associated with increased risk of heart disease, diabetes and mortality. However, limited information exists on the distribution and determinants of sleep quality and its associations with cardio-metabolic risk factors in Chinese populations. We aimed to evaluate this in the current study.
Methods
A cross-sectional survey conducted in 2005 of 1,458 men and 1,831 women aged 50â70 years from urban and rural areas of Beijing and Shanghai. Using a questionnaire, sleep quality was measured in levels of well, common and poor. Comprehensive measures of socio-demographical and health factors and biomarkers of cardio-metabolic disease were recorded. These were evaluated in association with sleep quality using logistic regression models.
Results
Half of the population reported good sleep quality. After adjusting for potential confounders, women and Beijing residents had almost half the probability to report good sleep quality. Good physical and mental health (good levels of self-rated health (OR 2.48; 95%CI 2.08 to 2.96) and no depression (OR 4.05; 95%CI 3.12 to 5.26)) related to an increased chance of reporting good sleep quality, whereas short sleep duration (<7 hrs OR 0.10; 95%CI 0.07 to 0.14)) decreased it substantially. There were significant associations between levels of sleep quality and concentrations of plasma insulin, total and LDL cholesterol, and index of insulin resistance.
Conclusion
Levels of good sleep quality in middle-age and elderly Chinese were low. Gender, geographical location, self-rated health, depression and sleep quantity were major factors associated with sleep quality. Prospective studies are required to distil the factors that determine sleep quality and the effects that sleep patterns exert on cardio-metabolic health
Associations between fruit and vegetable intake, leisure-time physical activity, sitting time and self-rated health among older adults : cross-sectional data from the WELL study
BackgroundLifestyle behaviours, such as healthy diet, physical activity and sedentary behaviour, are key elements of healthy ageing and important modifiable risk factors in the prevention of chronic diseases. Little is known about the relationship between these behaviours in older adults. The purpose of this study was to explore the relationship between fruit and vegetable (F&V) intake, leisure-time physical activity (LTPA) and sitting time (ST), and their association with self-rated health in older adults.MethodsThis cross-sectional study comprised 3,644 older adults (48% men) aged 55-65 years, who participated in the Wellbeing, Eating and Exercise for a Long Life ("WELL") study. Respondents completed a postal survey about their health and their eating and physical activity behaviours in 2010 (38% response rate). Spearman\u27s coefficient (rho) was used to evaluate the relationship between F&V intake, LTPA and ST. Their individual and shared associations with self-rated health were examined using ordinal logistic regression models, stratified by sex and adjusted for confounders (BMI, smoking, long-term illness and socio-demographic characteristics).ResultsThe correlations between F&V intake, LTPA and ST were low. F&V intake and LTPA were positively associated with self-rated health. Each additional serving of F&V or MET-hour of LTPA were associated with approximately 10% higher likelihood of reporting health as good or better among women and men. The association between ST and self-rated health was not significant in the multivariate analysis. A significant interaction was found (ST*F&V intake). The effect of F&V intake on self-rated health increased with increasing ST in women, whereas the effect decreased with increasing ST in men.ConclusionThis study contributes to the scarce literature related to lifestyle behaviours and their association with health indicators among older adults. The findings suggest that a modest increase in F&V intake, or LTPA could have a marked effect on the health of older adults. Further research is needed to fully understand the correlates and determinants of lifestyle behaviours, particularly sitting time, in this age group
Overview on the phenomenon of two-qubit entanglement revivals in classical environments
The occurrence of revivals of quantum entanglement between separated open
quantum systems has been shown not only for dissipative non-Markovian quantum
environments but also for classical environments in absence of back-action.
While the phenomenon is well understood in the first case, the possibility to
retrieve entanglement when the composite quantum system is subject to local
classical noise has generated a debate regarding its interpretation. This
dynamical property of open quantum systems assumes an important role in quantum
information theory from both fundamental and practical perspectives. Hybrid
quantum-classical systems are in fact promising candidates to investigate the
interplay among quantum and classical features and to look for possible control
strategies of a quantum system by means of a classical device. Here we present
an overview on this topic, reporting the most recent theoretical and
experimental results about the revivals of entanglement between two qubits
locally interacting with classical environments. We also review and discuss the
interpretations provided so far to explain this phenomenon, suggesting that
they can be cast under a unified viewpoint.Comment: 16 pages, 9 figures. Chapter written for the upcoming book "Lectures
on general quantum correlations and their applications
Uso combinado de modelos de estresse no trabalho e a saĂșde auto-referida na enfermagem
OBJETIVO: Identificar combinaçÔes de dois modelos do estresse psicossocial do trabalho em equipes de enfermagem e sua associação com a saĂșde auto-referida. MĂTODOS: Estudo transversal com trabalhadoras de trĂȘs hospitais pĂșblicos do MunicĂpio do Rio de Janeiro, RJ (N=1307). Foi aplicado questionĂĄrio multidimensional que incluiu duas escalas de estresse no trabalho (modelo demanda-controle e desequilĂbrio esforço-recompensa) em 2006. Foram considerados o modelo demanda e controle parcial e completo (inclui apoio social no trabalho), assim como o esforço e recompensa parcial e completo (inclui excesso de comprometimento com o trabalho). Modelos de regressĂŁo mĂșltipla foram utilizados para estimar razĂ”es de chances ajustadas e seus respectivos intervalos com 95% de confiança. RESULTADOS: As dimensĂ”es de ambos os modelos estiveram independentemente associadas Ă situação de saĂșde, com odds ratios entre 1,70 e 3,37. O modelo parcial demanda-controle mostrou-se menos associado Ă saĂșde (OR = 1,79; IC95% 1,26;2,53) quando comparado ao de desequilĂbrio esforço-recompensa (OR=2,27; IC95% 1,57;3,30). A incorporação do apoio social e do excesso de comprometimento com o trabalho aumentou a força de associação dos modelos demanda-controle e desequilĂbrio esforço-recompensa, respectivamente. Foi observado aumento na força de associação quando os dois modelos parciais foram combinados. CONCLUSĂES: Os resultados indicam melhor desempenho do modelo desequilĂbrio esforço-recompensa para este grupo especĂfico e para o desfecho avaliado e vantagem do uso de modelos completos ou do uso combinado em modelos parciais.OBJETIVO: Identificar combinaciones de dos modelos de estrĂ©s psicossocial del trabajo en equipos de enfermerĂa y su asociaciĂłn con la salud auto referida. MĂTODOS: Estudio transversal con trabajadoras de tres hospitales pĂșblicos del Municipio de Rio de Janeiro, Sureste de Brasil, (N=1307). Se aplicĂł cuestionario multidimensional que incluyĂł dos escalas de estrĂ©s en el trabajo (modelo demanda-control y desequilibrio esfuerzo-recompensa) en 2006. Se consideraron el modelo demando y control parcial y completo (incluye apoyo social en el trabajo), asĂ como el esfuerzo y recompensa parcial y completo (incluye exceso de compromiso con el trabajo). Se utilizaron modelos estadĂsticos mĂșltiples para estimar razones de probabilidades ajustadas y sus respectivos intervalos con 95% de confianza. RESULTADOS: Las dimensiones de ambos modelos estuvieron independientemente asociadas con la salud autoreferida, con odds ratios entre 1,70 y 3,37. El modelo parcial demanda-control se mostrĂł menos asociado a la salud (OR=1,79; IC 95% 1,26;2,53) al compararlo con el desequilibrio esfuerzo-recompensa (OR=2,27; IC 95% 1,57;3,30). La incorporaciĂłn del apoyo social y del exceso de compromiso con el trabajo aumentĂł la fuerza de asociaciĂłn de los modelos demanda-control y desequilibrio esfuerzo-recompensa, respectivamente. Se observĂł aumento en la fuerza de asociaciĂłn al combinarse los dos modelos parciales. CONCLUSIONES: Los resultados indican mejor desempeño del modelo desequilibrio esfuerzo-recompensa para este grupo especĂfico y para el resultado evaluado y ventaja en el uso de modelos completos o del uso combinado en modelos parciales.OBJECTIVE: To identify combinations of two models of psychosocial stress at work among nursing teams and their associations with self-rated health. METHODS: This was a cross-sectional study among workers at three public hospitals in the municipality of Rio de Janeiro, Southeastern Brazil (N = 1307). In 2006, a multidimensional questionnaire including two scales for measuring stress at work (demand-control and effort-reward imbalance models) was administered. Partial and complete (including social support at work) demand-control models were considered, along with partial and complete (including excessive commitment to work) effort-reward models. Multiple logistic regression models were used to estimate adjusted odds ratios and their respective 95% confidence intervals. RESULTS: The dimensions of both models were independently associated with self-rated health, with odds ratios between 1.70 and 3.37. The partial demand-control model was less associated with health (OR = 1.79; 95%CI 1.26;2.53) than was the partial effort-reward imbalance model (OR = 2.27; 95%CI 1.57;3.30). Incorporation of social support and excessive commitment to work increased the strength of the demand-control and effort-reward imbalance models, respectively. Increased strength of association was observed when the two partial models were combined. CONCLUSIONS: The results indicate that the effort-reward imbalance model performed better for this specific group and for the outcome evaluated, and that there was an advantage in using complete models or combinations of partial models
Lifestyle and self-rated health: a cross-sectional study of 3,601 citizens of Athens, Greece
<p>Abstract</p> <p>Background</p> <p>Self-rated health (SRH) is a popular health measure determined by multiple factors. International literature is increasingly focusing on health-related behaviors such as smoking, dietary habits, physical activity, even religiosity. However, population-based studies taking into account multiple putative determinants of SRH in Greece are scarce. The aim of this study was to clarify possible determinants of SRH with an emphasis on the relationship between SRH and lifestyle variables in a large sample of urban citizens.</p> <p>Methods</p> <p>In this one-year cross-sectional study, a stratified random sample of 3,601 urban citizens was selected. Data were collected using an interview-based questionnaire about various demographic, socioeconomic, disease- and lifestyle related factors such as smoking, physical activity, dietary habits, sleep quality and religiosity. Multivariate logistic regression was used separately in three age groups [15-29 (N = 1,360), 30-49 (N = 1,122) and 50+ (N = 1,119) years old] in order to identify putative lifestyle and other determinants of SRH.</p> <p>Results</p> <p>Reporting of good SRH decreased with age (97.1%, 91.4% and 74.8%, respectively). Overall, possible confounders of the lifestyle-SRH relationship among age groups were sex, education, hospitalization during the last year, daily physical symptoms and disease status. Poor SRH was associated with less physical activity in the 15-29 years old (OR 2.22, 95%CI 1.14-4.33), with past or heavy smoking, along with no sleep satisfaction in the 30-49 years old (OR 3.23, 95%CI 1.35-7.74, OR 2.56, 95%CI 1.29-5.05, OR 1.79, 95%CI 1.1-2.92, respectively) and with obesity and no sleep satisfaction in the 50+ years old individuals (OR 1.83, 95%CI 1.19-2.81, OR 2.54, 95%CI 1.83-3.54). Sleep dissatisfaction of the 50+ years old was the only variable associated with poor SRH at the 0.001 p level of significance (OR 2.45, 99%CI 1.59 to 3.76). Subgroup analyses of the 15-19 years old individuals also revealed sleep dissatisfaction as the only significant variable correlated with SRH.</p> <p>Conclusions</p> <p>Slight differences in lifestyle determinants of SRH were identified among age groups. Sleep quality emerged as an important determinant of SRH in the majority of participants.</p
Cross-sectional associations between multiple lifestyle behaviors and health-related quality of life in the 10,000 steps cohort
Background: The independent and combined influence of smoking, alcohol consumption, physical activity, diet, sitting time, and sleep duration and quality on health status is not routinely examined. This study investigates the relationships between these lifestyle behaviors, independently and in combination, and health-related quality of life (HRQOL). Methods: Adult members of the 10,000 Steps project (n = 159,699) were invited to participate in an online survey in November-December 2011. Participant socio-demographics, lifestyle behaviors, and HRQOL (poor self-rated health; frequent unhealthy days) were assessed by self-report. The combined influence of poor lifestyle behaviors were examined, independently and also as part of two lifestyle behavior indices, one excluding sleep quality (Index 1) and one including sleep quality (Index 2). Adjusted Cox proportional hazard models were used to examine relationships between lifestyle behaviors and HRQOL. Results: A total of 10,478 participants provided complete data for the current study. For Index 1, the Prevalence Ratio (p value) of poor self-rated health was 1.54 (p = 0.001), 2.07 (pâ€0.001), 3.00 (pâ€0.001), 3.61 (pâ€0.001) and 3.89 (pâ€0.001) for people reporting two, three, four, five and six poor lifestyle behaviors, compared to people with 0-1 poor lifestyle behaviors. For Index 2, the Prevalence Ratio (p value) of poor self-rated health was 2.26 (p = 0.007), 3.29 (pâ€0.001), 4.68 (pâ€0.001), 6.48 (pâ€0.001), 7.91 (pâ€0.001) and 8.55 (pâ€0.001) for people reporting two, three, four, five, six and seven poor lifestyle behaviors, compared to people with 0-1 poor lifestyle behaviors. Associations between the combined lifestyle behavior index and frequent unhealthy days were statistically significant and similar to those observed for poor self-rated health. Conclusions: Engaging in a greater number of poor lifestyle behaviors was associated with a higher prevalence of poor HRQOL. This association was exacerbated when sleep quality was included in the index. © 2014 Duncan et al