276 resultados para Health prevention
Resumo:
Abstract
Children’s reports of high family conflict consistently predict poor outcomes. The study identified criteria for high family conflict based on prospective prediction of increased risk for childhood depression. These criteria were subsequently used to establish the prevalence of high family conflict in Australian communities and to identify community correlates suitable for targeting prevention programs. Study 1 utilised a longitudinal design. Grade 6 and 8 students completed a family conflict scale (from the widely used Communities That Care survey) in 2003 and depression symptomotology were evaluated at a 1-year follow-up (International Youth Development Study, N = 1,798). Receiver-operating characteristic analysis yielded a cut-off point on a family conflict score with depression symptomatology as a criterion variable. A cut-off score of 2.5 or more (on a scale of 1 to 4) correctly identified 69 % with depression symptomology, with a specificity of 77.2 % and sensitivity at 44.3 %. Study 2 used data from an Australian national survey of Grade 6 and 8 children (Healthy Neighbourhoods Study, N = 8,256). Prevalence estimates were calculated, and multivariate logistic regression with multi-level modelling was used to establish factors associated with community variation in family conflict levels. Thirty-three percent of Australian children in 2006 were exposed to levels of family conflict that are likely to increase their future risk for depression. Significant community correlates for elevated family conflict included Indigenous Australian identification, socioeconomic disadvantage, urban and state location, maternal absence and paternal unemployment. The analysis provides indicators for targeting family-level mental health promotion programs.
Resumo:
Objective:
Methods:
This commentary considers what we currently know, what we might learn from the successes and failures of those working in prevention of other high prevalence health conditions, and where we might go from here. Taking cognisance of previous preventive models, this commentary additionally explores new opportunities for preventive approaches to the common mental disorders.
Results:
The consensus from a large body of evidence supports the contention that interventions to prevent mental disorders across the lifespan can be both effective and cost-effective. However, funding for research in the area of prevention of common mental disorders is considerably lower than that for research in the areas of treatment, epidemiology and neurobiology. Thus, there is a clear imperative to direct funding towards prevention research to redress this imbalance. Future prevention interventions need to be methodologically rigorous, scalable to the population level and include economic evaluation. Evidence-based knowledge translation strategies should be developed to ensure that all stakeholders recognise preventing mental disorders as an imperative, with appropriate resources directed to this objective.
Conclusion:
There has been a recent expansion of research into potentially modifiable risk factors for depression, and it is now timely to make a concerted effort to advance the field of prevention of common mental disorders.
Resumo:
Background: Falls are one of the most common health problems among older people and pose a major economic burden on health care systems. Exercise is an accepted stand-alone fall prevention strategy particularly if it is balance training or regular participation in Tai chi. Dance shares the ‘holistic’ approach of practices such as Tai chi. It is a complex sensorimotor rhythmic activity integrating multiple physical, cognitive and social elements. Small-scale randomised controlled trials have indicated that diverse dance styles can improve measures of balance and mobility in older people, but none of these studies has examined the effect of dance on falls or cognition. This study aims to determine whether participation in social dancing: i) reduces the number of falls; and ii) improves cognitive functions associated with fall risk in older people.
Methods/design: A single-blind, cluster randomised controlled trial of 12 months duration will be conducted. Approximately 450 participants will be recruited from 24 self-care retirement villages that house at least 60 residents each in Sydney, Australia. Village residents without cognitive impairment and obtain medical clearance will be eligible. After comprehensive baseline measurements including physiological and cognitive tests and self-completed questionnaires, villages will be randomised to intervention sites (ballroom or folk dance) or to a wait-listed control using a computer randomisation method that minimises imbalances between villages based on two baseline fall risk measures. Main outcome measures are falls, prospectively measured, and the Trail Making cognitive function test. Cost-effectiveness and cost-utility analyses will be performed.
Discussion: This study offers a novel approach to balance training for older people. As a community-based approach to fall prevention, dance offers older people an opportunity for greater social engagement, thereby making a major contribution to healthy ageing. Providing diversity in exercise programs targeting seniors recognises the heterogeneity of multicultural populations and may further increase the number of taking part in exercise.
Out of the shadows: a discussion on law reform for the prevention of financial abuse of older people
Resumo:
Financial abuse of older people too often lives ‘in the shadows, hidden by fear and shame’. This and the protective love between family members can screen changes that are critical to an older person’s financial and living arrangements. Rather than a single event, it is usually a series of well-intentioned but ill-considered financial acts, which at some point tips over into abuse interwoven with an intricate web of family relationships. Was a transfer of title or a loan to an adult child really misappropriation? Has thoughtlessness become undue influence or even theft?
Resumo:
Objective: Childhood mental health difficulties affect one in every seven children in Australia, posing a potential financial burden to society. This paper reports on the early lifetime individual and population non-hospital healthcare costs to the Australian Federal Government for children experiencing mental health difficulties. It also reports on the use and cost of particular categories of service use, including the Medicare Benefits Schedule (MBS) mental health items introduced in 2006.
Method: Data from the Longitudinal Study of Australian Children (LSAC) were used to calculate total Medicare costs (government subsidised healthcare attendances and prescription medications) from birth to the 8th birthday associated with childhood mental health difficulties measured to 8–9 years of age.
Results: Costs were higher among children with mental health difficulties than those without difficulties. While individual costs increased with the persistence of difficulties, population-level costs were highest for those with transient mental health difficulties. Although attenuated, these patterns persisted after child, parent and family characteristics were taken into account. Use of the MBS-reimbursed mental health services among children with a mental health difficulty was very low (around 2%).
Conclusions: Australian healthcare costs for young children with mental health difficulties are substantial and provide further justification for early intervention and prevention. The current provision of Medicare-rebated mental health services does not appear to be reaching young children with mental health difficulties.
Resumo:
Objectives:
Design and Methods:
This study involved a cross-sectional survey of 304 public health practitioners and policy-makers from government, non-government, and community organizations across Victoria, Australia. Participants reported their organizations' current obesity prevention programs and policies, their own perceptions of the feasibility and effectiveness of strategies to prevent obesity and their preferred settings for obesity prevention.
Results:
Thirty-nine percent had an obesity prevention policy, and 92% were implementing obesity prevention programs. The most common programs focused on education, skill-building, and increasing access to healthy eating/physical activity opportunities. School curriculum-based initiatives, social support for physical activity, and family-based programs were considered the most effective strategies, whereas curriculum-based initiatives, active after-school programs, and providing access to and information about physical activity facilities were deemed the most feasible strategies. Schools were generally perceived as the most preferred setting for obesity prevention.
Conclusion:
Many organizations had obesity prevention programs, but far fewer had obesity prevention policies. Current strategies and those considered feasible and effective are often mismatched with the empirical literature. Systems to ensure better alignment between researchers, practitioners, and policy-makers, and identifying effective methods of translating empirical evidence into practice and policy are required.
Resumo:
Background:
Gestational diabetes mellitus (GDM) is defined as glucose intolerance with its onset or first recognition during pregnancy. Post-GDM women have a life-time risk exceeding 70% of developing type 2 diabetes mellitus (T2DM). Lifestyle modifications reduce the incidence of T2DM by up to 58% for high-risk individuals.
Methods/Design:
The Mothers After Gestational Diabetes in Australia Diabetes Prevention Program (MAGDA-DPP) is a randomized controlled trial aiming to assess the effectiveness of a structured diabetes prevention intervention for post-GDM women. This trial has an intervention group participating in a diabetes prevention program (DPP), and a control group receiving usual care from their general practitioners during the same time period. The 12-month intervention comprises an individual session followed by five group sessions at two-week intervals, and two follow-up telephone calls. A total of 574 women will be recruited, with 287 in each arm. The women will undergo blood tests, anthropometric measurements, and self-reported health status, diet, physical activity, quality of life, depression, risk perception and healthcare service usage, at baseline and 12 months. At completion, primary outcome (changes in diabetes risk) and secondary outcome (changes in psychosocial and quality of life measurements and in cardiovascular disease risk factors) will be assessed in both groups.
Discussion:
This study aims to show whether MAGDA-DPP leads to a reduction in diabetes risk for post-GDM women. The characteristics that predict intervention completion and improvement in clinical and behavioral measures will be useful for further development of DPPs for this population.
Resumo:
The lessons learned from over 20 years of obesity prevention efforts in Australia and New Zealand are presented. The obesity epidemic started in the 1980s but poor monitoring systems meant the rise in obesity prevalence initially went undetected. In the 1990s, experts started advocating for government action; however, it was the rapid increase in media reports on obesity in the early 2000s which created the pressure for action. Several, comprehensive reports produced some programme investment but no regulatory policies were implemented. The powerful food industry lobby ensured this lack of policies on front-of-pack food labelling, restrictions on unhealthy food marketing to children, or taxes on unhealthy foods. The New Zealand government even backpedalled by rescinding healthy school food guidelines and withdrawing funding for the comprehensive national obesity strategy. In 2007, Australian Governments started a major long term-investment in preventive health in order to improve economic productivity. Other positive initiatives, especially in Australia, were: the establishment of several advocacy organizations; successful, long-term, whole-of-community projects reducing childhood obesity; a national knowledge exchange system for practitioners; and some innovative programmes and social marketing. However, despite multiple reports and strong advocacy, key recommended regulatory policies remain unimplemented, largely due to the private sector interests dominating public policy development.
Resumo:
Initiatives to promote children’s nutrition and prevent childhood obesity are vital. Dietary patterns are a useful way to characterize whole diets, though no previous early childhood health promotion trial has assessed intervention impact using this approach. This research aimed to assess the effect on young children’s dietary patterns of a healthy eating and physical activity intervention. The Melbourne Infant Feeding Activity and Nutrition Trial (InFANT) Program was a health promotion cluster-randomized controlled trial involving 542 families. Child diets were assessed by multiple 24-hour recalls post-intervention, at approximately 18 months of age. An Obesity Protective Dietary Index was created, and dietary patterns were also assessed by principal components analysis. These outcomes were used to compare intervention and control participants to test the effectiveness of the intervention. Children in the intervention arm scored significantly higher (15.6 ± 5.9) than those in the control arm (14.5 ± 6.7) for the Obesity Protective Dietary Index (scores out of 30, p=0.01). Three dietary patterns were identified by principal components analysis, however, scores were not significantly different between intervention and control arms. In conclusion, this paper presents novel results in both the evaluation of an early childhood health promotion intervention and in the assessment of child dietary patterns. The results highlight the capacity for such an initiative to improve child diets, and the need for further research in this area.
Resumo:
Background
Previous research suggests that lifestyle intervention for the prevention of diabetes and cardiovascular disease (CVD) are effective, however little is known about factors affecting participation in such programs. This study aims to explore factors influencing levels of participation in a lifestyle modification program conducted as part of a cluster randomized controlled trial of CVD prevention in primary care.
Methods
This concurrent mixed methods study used data from the intervention arm of a cluster RCT which recruited 30 practices through two rural and three urban primary care organizations. Practices were randomly allocated to intervention (n = 16) and control (n = 14) groups. In each practice up to 160 eligible patients aged between 40 and 64 years old, were invited to participate. Intervention practice staff were trained in lifestyle assessment and counseling and referred high risk patients to a lifestyle modification program (LMP) consisting of two individual and six group sessions over a nine month period. Data included a patient survey, clinical audit, practice survey on capacity for preventive care, referral and attendance records at the LMP and qualitative interviews with Intervention Officers facilitating the LMP. Multi-level logistic regression modelling was used to examine independent predictors of attendance at the LMP, supplemented with qualitative data from interviews with Intervention Officers facilitating the program.
Results
A total of 197 individuals were referred to the LMP (63% of those eligible). Over a third of patients (36.5%) referred to the LMP did not attend any sessions, with 59.4% attending at least half of the planned sessions. The only independent predictors of attendance at the program were employment status - not working (OR: 2.39 95% CI 1.15-4.94) and having high psychological distress (OR: 2.17 95% CI: 1.10-4.30). Qualitative data revealed that physical access to the program was a barrier, while GP/practice endorsement of the program and flexibility in program delivery facilitated attendance.
Conclusion
Barriers to attendance at a LMP for CVD prevention related mainly to external factors including work commitments and poor physical access to the programs rather than an individuals’ health risk profile or readiness to change. Improving physical access and offering flexibility in program delivery may enhance future attendance. Finally, associations between psychological distress and attendance rates warrant further investigation.
Resumo:
Objective
The Australian lifestyle intervention program Life! is only the second reported, large-scale diabetes prevention program. This paper describes the genesis and the successful establishment of Life! and its key outcomes for participants and implementation.
Research
Design and Methods Life!, a behavior change intervention, comprises six group sessions over eight months. The Victorian Department of Health funded Diabetes Australia-Victoria to implement the program. Experience of the Greater Green Triangle diabetes prevention implementation trial was used for intervention design, workforce development, training and infrastructure. Clinical and anthropometric data from participants, used for program evaluation, was recorded on a central database.
Results
Life! has a state-wide workforce of 302 trained facilitators within 137 organizations. 29,000 Victorians showed interest in Life! and 15,000 individuals have been referred to the program. In total, 8,412 participants commenced a Life! program between October 2007 and June 2011. 37% of the original participants completed the eight month program. Participants completing sessions one to five lost an average of 1·4 kg weight (p<0·001) and waist circumference of 2·5cm (p<0.001). Those completing six sessions lost an average of 2·4 kg weight (p<0·001) and waist circumference of 3·8 cm (p<0·001). The weight loss of 2.4 kg represents 2.7% of participants’ starting body weight.
Conclusion
The impact of Life! is attributable to applying available evidence for the systems design of the intervention, and collaboration between policy makers, implementers and evaluators using the principles of continuous quality improvement to support successful, large scale recruitment and implementation.
