895 resultados para cardiovascular health


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OBJECTIVE: To assess the prevalence of risk factors and risk for cardiovascular disease and Type 2 diabetes in employees with sedentary occupations enrolled in a workplace health-promotion program. METHODS: Participants (n = 762) were recruited from ten Melbourne workplaces, participating in a physical activity program. Demographic, behavioral, biomedical, and physical measurements were collected. RESULTS: The majority of employees were not meeting recommended guidelines for physical activity (62%), fruit intake (70%), vegetable intake (86%), body mass index (58%), or waist circumference (53%). Most had intermediate (53%) or high (7%) risk of developing Type 2 diabetes. CONCLUSIONS: The majority of Australian adults in sedentary occupations were not meeting guidelines for a number of chronic disease risk factors and a substantial proportion were unaware of their increased risk. This study supports the potential of chronic disease risk factor detection and intervention programs in the workplace.

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BACKGROUND: Non-smoking, having a normal weight and increased levels of physical activity are perhaps the three key factors for preventing cardiovascular disease (CVD). However, the relative effects of these factors on healthy longevity have not been well described. We aimed to calculate and compare the effects of non-smoking, normal weight and physical activity in middle-aged populations on life expectancy with and without cardiovascular disease.

METHODS: Using multi-state life tables and data from the Framingham Heart Study (n = 4634) we calculated the effects of three heart healthy behaviours among populations aged 50 years and over on life expectancy with and without cardiovascular disease. For the life table calculations, we used hazard ratios for 3 transitions (No CVD to CVD, no CVD to death, and CVD to death) by health behaviour category, and adjusted for age, sex, and potential confounders.

RESULTS: High levels of physical activity, never smoking (men), and normal weight were each associated with 20-40% lower risks of developing CVD as compared to low physical activity, current smoking and obesity, respectively. Never smoking and high levels of physical activity reduced the risks of dying in those with and without a history of CVD, but normal weight did not. Never-smoking was associated with the largest gains in total life expectancy (4.3 years, men, 4.1 years, women) and CVD-free life expectancy (3.8 and 3.4 years, respectively). High levels of physical activity and normal weight were associated with lesser gains in total life expectancy (3.5 years, men and 3.4 years, women, and 1.3 years, men and 1.0 year women, respectively), and slightly lesser gains in CVD-free life expectancy (3.0 years, men and 3.1 years, women, and 3.1 years men and 2.9 years women, respectively). Normal weight was the only behaviour associated with a reduction in the number of years lived with CVD (1.8 years, men and 1.9 years, women).

CONCLUSIONS: Achieving high levels of physical activity, normal weight, and never smoking, are effective ways to prevent cardiovascular disease and to extend total life expectancy and the number of years lived free of CVD. Increasing the prevalence of normal weight could further reduce the time spent with CVD in the population.

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OBJECTIVE: To determine how well the current Pharmaceutical Benefits Scheme (PBS) eligibility criteria for subsidy of lipid-lowering drugs compare with current national guidelines for determining the population at high risk of developing cardiovascular disease (CVD). DESIGN AND PARTICIPANTS: Analyses of the population-based, cross-sectional Australian Diabetes, Obesity and Lifestyle (AusDiab) study, conducted in 1999-2000. The 1991 Framingham risk prediction equation was used to compute 5-year risk of developing first-time CVD in 8286 participants aged 30-74 years with neither CVD nor diabetes. Based on the National Heart Foundation of Australia and Cardiac Society of Australia and New Zealand guidelines, people with either 5-year CVD risk > or = 15% or with 5-year CVD risk of 10%-< 15% and the metabolic syndrome were defined as having estimated high absolute CVD risk. MAIN OUTCOME MEASURES: 5-year CVD risk; estimated population with high CVD risk. RESULTS: Among participants without prevalent CVD or diabetes, 7.9% of men and 1.5% of women had a 5-year CVD risk > or = 15%. Of the estimated residential Australian population in 2000 aged 30-74 years without CVD or diabetes, 717 000 people were considered to be at high absolute CVD risk. Among the high-risk AusDiab participants without CVD or diabetes, only 16.9% of men and 15.4% of women were being treated with lipid-lowering drugs. Of the 9.6% of participants free of CVD and diabetes who were untreated but eligible for subsidy under PBS criteria, only 27.4% had an estimated high absolute CVD risk. CONCLUSION: Strategies for CVD prevention using lipid-lowering medications can be improved by adoption of the absolute-risk approach.

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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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BACKGROUND: The leading causes of morbidity and mortality for people in high-income countries living with HIV are now non-AIDS malignancies, cardiovascular disease and other non-communicable diseases associated with ageing. This protocol describes the trial of HealthMap, a model of care for people with HIV (PWHIV) that includes use of an interactive shared health record and self-management support. The aims of the HealthMap trial are to evaluate engagement of PWHIV and healthcare providers with the model, and its effectiveness for reducing coronary heart disease risk, enhancing self-management, and improving mental health and quality of life of PWHIV.

METHODS/DESIGN: The study is a two-arm cluster randomised trial involving HIV clinical sites in several states in Australia. Doctors will be randomised to the HealthMap model (immediate arm) or to proceed with usual care (deferred arm). People with HIV whose doctors are randomised to the immediate arm receive 1) new opportunities to discuss their health status and goals with their HIV doctor using a HealthMap shared health record; 2) access to their own health record from home; 3) access to health coaching delivered by telephone and online; and 4) access to a peer moderated online group chat programme. Data will be collected from participating PWHIV (n = 710) at baseline, 6 months, and 12 months and from participating doctors (n = 60) at baseline and 12 months. The control arm will be offered the HealthMap intervention at the end of the trial. The primary study outcomes, measured at 12 months, are 1) 10-year risk of non-fatal acute myocardial infarction or coronary heart disease death as estimated by a Framingham Heart Study risk equation; and 2) Positive and Active Engagement in Life Scale from the Health Education Impact Questionnaire (heiQ).

DISCUSSION: The study will determine the viability and utility of a novel technology-supported model of care for maintaining the health and wellbeing of people with HIV. If shown to be effective, the HealthMap model may provide a generalisable, scalable and sustainable system for supporting the care needs of people with HIV, addressing issues of equity of access.

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OBJECTIVE: To transform data from a research setting into a format that could be used to support strategies encouraging healthy lifestyle choices and service planning within local government. METHODS: Details of the health status and lifestyle behaviours of the Geelong, Victoria, population were generated independently by the Geelong Osteoporosis Study (GOS), a prospective population-based cohort study. Recent GOS follow-up phases provided evidence about patterns of unhealthy diet, physical inactivity, smoking and harmful alcohol use. These factors are well-recognised modifiable risk factors for chronic disease; the dataset was complemented with prevalence estimates for musculoskeletal disease, obesity, diabetes, cardiovascular disease, asthma and cancer. RESULTS: Data were provided to Healthy Together Geelong in aggregate form according to age, sex and suburb. A population statistics company used the data to project health outcomes by suburb for use by local council. This data exchange served as a conduit between epidemiological research and policy development. CONCLUSION AND IMPLICATIONS: Regional policy makers were informed by local evidence, rather than national or state health survey, thereby optimising potential intervention strategies.

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Rapid urban population growth in Australia requires an expansion of supporting hard and soft infrastructure. In the State of Victoria, directing this growth are a number of urban design and planning mechanisms that provide a ‘blueprint for development and investment’. Although topics revolving around physical health are present in these and other planning related documents, largely absent from this literature are ‘tools’ to assist decision makers in determining whether or not an urban setting supports physical health and provides opportunities for physical activity. Insufficient physical activity is a risk factor contributing to Australia’s growing and significant burden of chronic disease including cardiovascular disease, Type 2 diabetes and overweight/obesity. The potential of the built environment to influence population-level physical activity is well recognised. A key element in Victoria’s planning framework that can help address these health concerns is the provision and redevelopment of open space(s) in urban areas that provide opportunities for people of all ages and abilities to engage in physical activity. However, in the realisation of these settings, evidence informing the design of urban open space(s) that promote opportunities for physical activity is needed to produce evidence based decision making. Using the three geo-spatial visioning layers embedded in Victoria’s planning framework (i.e. Growth Area Framework Plans, Precinct Structure Plans and Planning Permits) as positioning instruments, this paper merges the fields of behavioural epidemiology and urban design to: i) provide a brief overview of current research relating to design of open space to optimise usage and physical activity, ii) consider what type of evidence relating to features of open space is needed to help inform decision makers, iii) consider the methods and procedures practitioners may use to incorporate evidence in to their planning, and iv) discuss the geo-spatial development level that the respective data can best assist decision making to achieve positive gains in physical health.

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The Sharing Health Care SA chronic disease self-management (CDSM) project in rural South Australia was designed to assist patients with chronic and complex conditions (diabetes, cardiovascular disease and arthritis) to learn how to participate more effectively in the management of their condition and to improve their self-management skills. Participants with chronic and complex conditions were recruited into the Sharing Health Care SA program and offered a range of education and support options (including a 6-week peer-led chronic disease self-management program) as part of the Enhanced Primary Care care planning process. Patient self-reported data were collected at baseline and subsequent 6-month intervals using the Partners in Health (PIH) scale to assess self-management skill and ability for 175 patients across four data collection points. Health providers also scored patient knowledge and self-management skills using the same scale over the same intervals. Patients also completed a modified Stanford 2000 Health Survey for the same time intervals to assess service utilisation and health-related lifestyle factors. Results show that both mean patient self-reported PIH scores and mean health provider PIH scores for patients improved significantly over time, indicating that patients demonstrated improved understanding of their condition and improved their ability to manage and deal with their symptoms. These results suggest that involvement in peer-led self-management education programs has a positive effect on patient self-management skill, confidence and health-related behaviour.

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The Healthy Hearts in Pharmacy pilot trial significantly reduced primary CVD onset risk through community pharmacist management of multiple risk factors. This study aims to identify key clinical activities undertaken by pharmacists. Methods Seventy participants aged 50-74 years, taking antihypertensive or lipid-modifying medicines, and without diabetes or CVD, received a comprehensive baseline risk assessment followed by five pharmacist counselling sessions at monthly intervals, based on the Health Action Process Approach. GP involvement was promoted. Pharmacists documented key clinical activities after sessions. Anonymous questionnaires were mailed to all 12 treating pharmacists following the intervention.

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BACKGROUND: In the general population, excessive sedentary behaviour is associated with increased all-cause mortality. Few studies have examined this relationship in people with cardiovascular disease (CVD). Using a sample of people with CVD who were excluded from an analysis of the Australian Diabetes, Obesity and Lifestyle (AusDiab) study, we examined the relationship between sedentary behaviour and 13-year all-cause mortality.

METHODS: In the original AusDiab study, television viewing time was used as a marker of sedentary behaviour in 609 adults (≥45 years of age) with CVD. During 6,291 person-years of follow-up (median follow-up 13 years), there were 294 deaths (48% of sample). Using the time scale of attained age, the Cox proportional hazards model predicting all-cause mortality adjusted for sex, self-rated general health, leisure-time physical activity, smoking status, education, household income, body mass index, lipid levels, blood pressure, and diabetes mellitus was used.

RESULTS: Compared with a TV viewing time of <2hours per day, the fully adjusted hazard ratios for all-cause mortality were 1.18 (95% CI, 0.88 to 1.57) for ≥2 to <4hours per day and 1.52 (95% CI, 1.09 to 2.13) for >4hours per day.

CONCLUSIONS: Sedentary behaviour was associated with increased risk of all-cause mortality in people with CVD, independent of physical activity and other confounders. In addition to the promotion of regular physical activity, cardiac rehabilitation efforts which also focus on reducing sedentary behaviour may be beneficial.

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OBJECTIVES: To (1) quantify levels of subjective health literacy in people with long-term health conditions (diabetes, cardiovascular disease, chronic obstructive pulmonary disease, musculoskeletal disorders, cancer and mental disorders) and compare these to levels in the general population and (2) examine the association between health literacy, socioeconomic characteristics and comorbidity in each long-term condition group.

DESIGN: Population-based survey in the Central Denmark Region (n=29,473). MAIN

OUTCOME MEASURES: Health literacy was measured using two scales from the Health Literacy Questionnaire (HLQ): (1) Ability to understand health information and (2) Ability to actively engage with healthcare providers.

RESULTS: People with long-term conditions reported more difficulties than the general population in understanding health information and actively engaging with healthcare providers. Wide variation was found between disease groups, with people with cancer having fewer difficulties and people with mental health disorders having more difficulties in actively engaging with healthcare providers than other long-term condition groups. Having more than one long-term condition was associated with more difficulty in engaging with healthcare providers and understanding health information. People with low levels of education had lower health literacy than people with high levels of education.

CONCLUSIONS: Compared with the general population, people with long-term conditions report more difficulties in understanding health information and engaging with healthcare providers. These two dimensions are critical to the provision of patient-centred healthcare and for optimising health outcomes. More effort should be made to respond to the health literacy needs among individuals with long-term conditions, multiple comorbidities and low education levels, to improve health outcomes and to reduce social inequality in health.

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People with serious mental illness face significant inequalities in physical health care. As a result, the risk of cardiometabolic disorders and premature mortality is far greater than that observed in the general population. Contributiung to this disparity, is the lack of routine physical health screening by mental health clinicians. One possible solution is the implimentation of a physical health nurse consultant, whose role is to monitor and coordinate the physical health care of people with serious mental illness. Current evidence supports the implimentation of such a role, and a failure to address the widening gaps in physical health care will only serve to increase the disparities faced by people with serious mental illness.

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BACKGROUND: Measuring and monitoring the true prevalence of risk factors for chronic conditions is essential for evidence-based policy and health service planning. Understanding the prevalence of risk factors for cardiovascular disease (CVD) in Australia relies heavily on self-report measures from surveys, such as the triennial National Health Survey. However, international evidence suggests that self-reported data may substantially underestimate actual risk factor prevalence. This study sought to characterise the extent of misreporting in a large, nationally-representative health survey that included objective measures of clinical risk factors for CVD.

METHODS: This study employed a cross-sectional analysis of 7269 adults aged 18 years and over who provided fasting blood samples as part of the 2011-12 Australian Health Survey. Self-reported prevalence of high blood pressure, high cholesterol and diabetes was compared to measured prevalence, and univariate and multivariate logistic regression analyses identified socio-demographic characteristics associated with underreporting for each risk factor.

RESULTS: Approximately 16 % of the total sample underreported high blood pressure (measured to be at high risk but didn't report a diagnosis), 33 % underreported high cholesterol, and 1.3 % underreported diabetes. Among those measured to be at high risk, 68 % did not report a diagnosis for high blood pressure, nor did 89 % of people with high cholesterol and 29 % of people with high fasting plasma glucose. Younger age was associated with underreporting high blood pressure and high cholesterol, while lower area-level disadvantage and higher income were associated with underreporting diabetes.

CONCLUSIONS: Underreporting has important implications for CVD risk factor surveillance, policy planning and decisions, and clinical best-practice guidelines. This analysis highlights concerns about the reach of primary prevention efforts in certain groups and implications for patients who may be unaware of their disease risk status.

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Background: Chronic stress frequently manifests with anxiety and/or depressive symptomatology and may have detrimental cardiometabolic effects over time. As such, recognising the potential links between stress-related psychological disorders and cardiovascular disease (CVD) is becoming increasingly important in cardiovascular epidemiology research. The primary aim of this study was to explore prospectively potential associations between clinically relevant depressive symptomatology and anxiety levels and the 10-year CVD incidence among apparently healthy Greek adults. Design: A population-based, health and nutrition prospective survey. Methods: In the context of the ATTICA Study (2002–2012), 853 adult participants without previous CVD history (453 men (45 ± 13 years) and 400 women (44 ± 18 years)) underwent psychological evaluations through validated, self-reporting depression and anxiety questionnaires. Results: After adjustment for multiple established CVD risk factors, both reported depression and anxiety levels were positively and independently associated with the 10-year CVD incidence, with depression markedly increasing the CVD risk by approximately fourfold (adjusted odds ratio (95% confidence interval) 3.6 (1.3, 11) for depression status; 1.03 (1.0, 1.1) for anxiety levels). Conclusions: Our findings indicate that standardised psychological assessments focusing on depression and anxiety should be considered as an additional and distinct aspect in the context of CVD preventive strategies that are designed and implemented by health authorities at the general population level.

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Objective: To assess the epidemiological evidence on dietary fiber intake and chronic diseases and make public health recommendations for the population in Romania based on their consumption. Populations that consume more dietary fiber from cereals, fruits and vegetables have less chronic disease. Dietary Reference Intakes recommend consumption of 14 g dietary fiber per 1,000 kcal, or 25 g for adult women and 38 g for adult men, based on epidemiologic studies showing protection against cardiovascular disease, stroke, hypertension, diabetes, obesity, metabolic syndrome, gastrointestinal disorders, colorectal -, breast -, gastric -, endometrial -, ovarian - and prostate cancer. Furthermore, increased consumption of dietary fiber improves serum lipid concentrations, lowers blood pressure, blood glucose leads to low glycemic index, aids in weight loss, improve immune function, reduce inflammatory marker levels, reduce indicators of inflammation. Dietary fibers contain an unique blend of bioactive components including resistant starches, vitamins, minerals, phytochemicals and antioxidants. Dietary fiber components have important physiological effects on glucose, lipid, protein metabolism and mineral bioavailability needed to prevent chronic diseases. Materials and methods: Data regarding diet was collected based on questionnaires. We used mathematical formulas to calculate the mean dietary fiber intake of Romanian adult population and compared the results with international public health recommendations. Results: Based on the intakes of vegetables, fruits and whole cereals we calculated the Mean Dietary Fiber Intake/day/person (MDFI). Our research shows that the national average MDFI was 9.8 g fiber/day/person, meaning 38% of Dietary Requirements, and the rest of 62% representing a “fiber gap” that we have to take into account. This deficiency predisposes to chronic diseases. Conclusions and recommendations:The poor control of relationship between dietary fiber intake and chronic diseases is a major issue that can result in adverse clinical and economic outcomes. The population in Romania is at risk to develop such diseases due to the deficient fiber consumption. A model of chronic diseases costs is needed to aid attempts to reduce them while permitting optimal management of the chronic diseases. This paper presents a discussion of the burden of chronical disease and its socio-economic implications and proposes a model to predict the costs reduction by adequate intake of dietary fiber.