218 resultados para physical health outcomes

em Deakin Research Online - Australia


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PURPOSE: Discrimination is a social determinant of health; however, the pathways linking discrimination to ill-health are under-researched. This study investigated the mediators through which discrimination affects health behaviours and physical health outcomes, as well as assessed whether sex moderated these mechanisms. METHODS: Data from a representative survey (n = 1023) of undergraduate students enrolled in a Brazilian university in 2012 were used. Structural equation models were applied to assess the following mediation mechanisms--(1) discrimination influences self-rated health and body mass index via anxiety/depression; (2) discrimination affects behaviours (alcohol consumption, problem drinking, smoking, fruit/vegetable consumption, and physical activity) through discomfort associated with discriminatory experiences. The potential of sex to act as an effect-modifying variable was also explored in each of the postulated pathways. RESULTS: The effect of discrimination on self-rated poor health was totally (100.0%) mediated by anxiety/depression, while body mass index was not correlated with discrimination. Self-reported discrimination was associated with some behaviours via discomfort. Particularly, discomfort partially mediated the positive association between discrimination, leisure time physical activity (43.3%), and fruit/vegetable consumption (52.2%). Sex modified the association between discrimination, discomfort and physical activity in that such mechanism (more discrimination → more discomfort → more physical activity) was statistically significant in the entire sample and among females, but not among males. CONCLUSIONS: This is one of the first studies to demonstrate that discrimination is associated with physical health outcomes and behaviours via distinct pathways. Future investigations should further explicate the mediational pathways between discrimination and key health outcomes.

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Participation in physical activity is associated with significant benefits to health. We provide an overview of research relevant to understanding and influencing health-enhancing physical activity in adults. We describe a behavioural epidemiology framework that is designed to integrate the range of studies in the field; give brief examples of studies on the relationships between physical activity and health outcomes; and, we consider descriptive studies of adult populations on levels of participation. We describe research findings on the correlates of physical activity participation; describe ecological models of health behaviour that may be used in understanding and influencing physical activity; and, we review research findings on how environmental attributes can influence adults’ physical activity, particularly walking. There is considerable potential to use evidence-based approaches to increase the physical activity levels of whole populations, particularly through a focus on developing the attributes of community environments that can promote walking.

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To achieve valid conclusions, studies exploring associations of the built environment with residents' physical activity and health-related outcomes need to employ statistical approaches accounting for clustered data. This article discusses the following main statistical approaches: analysis of covariance, regression models with robust standard errors, generalized estimating equations, and multilevel generalized linear models. The choice of a statistical method depends on the characteristics of the study and research questions. While the first three approaches are employed to account for clustering in the data, multilevel models can also help unravel more substantive issues within a social ecological theoretical framework of health behavior.

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What does the around-the-clock economic activity mean for workers' health? Despite the fact that non-standard work accounts for an increasing share of the job opportunities, relatively little is known about the potential consequences for health and the existing evidence is ambiguous. In this paper I examine the associations between non-standard job schedules and workers' physical and mental health outcomes using longitudinal data from the Household, Income and Labour Dynamics in Australia (HILDA). Specifically, the four health indicators considered are self-rated health and the SF-36 health indices for general health, mental health and physical functioning. Overall results generally suggest a negative relationship between non-standard work schedules and better health for both males and females. Regarding the statistical significance and magnitudes of the associations, however, we observe apparent differences between males and females. Among females, most of the coefficients in all models are statistically insignificant, which implies very small magnitudes in terms of the correlation between non-standard working hours and health. These results apply uniformly to all health measures investigated. Among males, on the other hand, the negative relationship is more noticeable for self-rated health, general health and physical functioning than for mental health. The pooled OLS and random effects coefficients are usually larger in magnitude and more significant than the fixed effects parameters. Nonetheless, even the more significant coefficients do not imply large effects in absolute terms.

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PURPOSE: To conduct a meta-analysis evaluating the effectiveness of depression treatment on mental and physical health-related quality of life (HRQOL) of cardiac patients.

METHODS: Studies were identified using medical, health, psychiatry, psychology, and social sciences databases. Inclusion criteria were (1) 1 or more control conditions, (2) random assignment to condition after admission for myocardial infarction (MI)/acute coronary syndrome, after recording positive results on a depression screener, (3) documentation of depression symptoms at baseline, (4) depression management as a component of the rehabilitation/intervention, (5) validated measure of HRQOL as an outcome, at minimum 6-month followup. For meta-analysis, mental and physical HRQOL were the end points studied, using standardized mean differences for continuous outcome measures, with 95% confidence intervals. Heterogeneity was explored by calculating I2 statistic.

RESULTS: Five randomized controlled trials included in the analysis represented 2105 participants (1058 intervention vs 1047 comparator). Compared with a comparator group at 6 months, a test for overall effect demonstrated statistically significant improvements in mental HRQOL in favor of the intervention (standardized mean differences = −0.29 [−0.38 to −0.20], [P < .00001]; I2 = 0%). Depression treatment had a modest yet significant impact on physical HRQOL (standardized mean differences = −0.14 [−0.24 to −0.04] [P = .009]; I2 = 15%).

CONCLUSION: While the impact of post-MI depression interventions on physical HRQOL is modest, treatment can improve mental HRQOL in a significant way. Future research is required to develop and evaluate a program that can achieve vital improvements in overall HRQOL, and potentially cardiovascular outcomes, of cardiac patients.

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Personality disorder (PD), outcomes of diverse comorbid physical health conditions, and the associated burden on health service resources have seldom been studied at a population level. Consequently, there is limited evidence that might inform a public health approach to managing PD and associated mental and physical disability. A review was conducted of population-based studies examining the prevalence of PD and associations between physical comorbidities and service utilization. The prevalence of any PDs were common (4.4% -21.5%) among populations spanning England, Wales, Scotland, Western Europe, Norway, Australia, and the United States. Preliminary evidence supports associations between PDs from Clusters A and B and physical comorbidities, namely cardiovascular diseases and arthritis. PD appears to increase health care utilization, particularly in primary care. In order to facilitate rational population health planning, further population studies are required.

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Shift workers have a higher rate of negative health outcomes than day shift workers. Few studies however, have examined the role of difference in workplace environment between shifts itself on such health measures. This study investigated variation in organizational climate across different types of shift work and health outcomes in nurses. Participants (n = 142) were nursing staff from a metropolitan Melbourne hospital. Demographic items elicited the type of shift worked, while the Work Environment Scale and the General Health Questionnaire measured organizational climate and health respectively. Analysis supported the hypotheses that different organizational climates occurred across different shifts, and that different organizational climate factors predicted poor health outcomes. Shift work alone was not found to predict health outcomes. Specifically, permanent night shift workers had significantly lower coworker cohesion scores compared with rotating day and evening shift workers and significantly higher managerial control scores compared with day shift workers. Further, coworker cohesion and involvement were found to be significant predictors of somatic problems. These findings suggest that differences in organizational climate between shifts accounts for the variation in health outcomes associated with shift work. Therefore, increased workplace cohesion and involvement, and decreased work pressure, may mitigate the negative health outcomes of shift workers.

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Background
Studies support the positive effects that Tai Chi has on the physical health of older adults. However, many older adults residing in long-term care facilities feel too weak to practice traditional Tai Chi, and a more simplified style is preferred.
Objective
To test the effects of a newly-developed, Simplified Tai-Chi Exercise Program (STEP) on the physical health of older adults who resided in long-term care facilities.
Design
A single group design with multiple time points: three pre-tests, one month apart; four post-tests at one month, two months, three months, and six months after intervention started.
Settings
Two 300–400 bed veteran homes in Taiwan.
Participants
The 51 male older adults were recruited through convenience sampling, and 41 of them completed six-month study. Inclusion criteria included: (1) aged 65 and over; (2) no previous training in Tai Chi; (3) cognitively alert and had a score of at least eight on the Short Portable Mental Status Questionnaire; (4) able to walk without assistance; and (5) had a Barthel Index score of 61 or higher. Participants who had dementia, were wheel-chair bound, or had severe or acute cardiovascular, musculoskeletal, or pulmonary illnesses were excluded.
Methods
The STEP was implemented three times a week, 50 min per session for six months. The outcome measures included cardio-respiratory function, blood pressure, balance, hand-grip strength, lower body flexibility, and physical health actualization.
Results
A drop in systolic blood pressure (p=.017) and diastolic blood pressure (p<.001) was detected six months after intervention started. Increase in hand-grip strength from pre to post intervention was found (left hand: p<.001; right hand: p=.035). Participants also had better lower body flexibility after practicing STEP (p=.038).
Conclusions
Findings suggest that the STEP be incorporated as a floor activity in long-term care facilities to promote physical health of older adults.

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This study examines the predictive capacity of the Demand-Control-Support (DCS) model in combination with organizational justice variables on attitudinal- and health-related outcomes for aged care nurses. Multiple regression analyses of aged care nurses (n=168) from a medium to large Australian healthcare organization. The DCS model explains the largest amount of variance across both the attitudinal and health outcomes with 27% of job satisfaction and 44% of organizational commitment, and 33% of psychological distress and 35% of wellbeing, respectively. Additional variance was explained by the justice variables for job satisfaction, organizational commitment and psychological distress. The addition of the organizational justice variables to the DCS model proved to be a valuable step in understanding the work conditions of aged care nurses. The inclusion of curvilinear effects clarified the potentially artefactual nature of certain interaction variables. The results provide practical implications for managers of aged care nurses in developing and maintaining levels of job control, support and fairness, as well as monitoring levels of job demands. The results particularly highlight the importance of the nurses’ supervisor.

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Jamie Robinson, the Berkeley health economist, famously remarked in 2001 that ‘the three worst ways to pay doctors are salary, capitation and fee-for-service.’ Different financial incentives produce different clinical and service outcomes, sometimes perversely.1 In 2004, the UK government introduced pay for performance (P4P) for general practitioners, the Quality and Outcomes Framework (QOF). Its introduction was associated with the general trend in the National Health Service away from placing implicit trust in doctors and more active monitoring of their performance. One-quarter of GP pay can be earned from achieving scores on 147 indicators.2 These indicators were acceptable to doctors because the majority are evidence-based clinical outcome measures for 10 chronic diseases. Others relate to patient access and satisfaction, and practice organisation.

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While weight, health, diet, and exercise receive constant media and governmental attention, relatively little is known about the influence of body image in the food consumption process. Moreover, there is general consensus within the literature that the factors that influence consumption behavior can have a different impact on different consumer groups. Body image, for example, is perceived to be a modulating force in the consumption behavior of young women. As a result, there is a need for an empirically based understanding of the factors that influence food-purchasing and consumption behavior among this group. Studies have investigated the links between perceived body image and food-purchasing behavior. In 18- to 30-year-old women, it has been shown that personal values, vanity, physical health, and perceived body image were major factors of influence in the purchasing and consumption decisions of this group. It was also identified that respondents across these studies engaged in healthy and unhealthy consumption practices in order to achieve their perceived body image ideals.