894 resultados para Health related physical fitness


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Lay beliefs about health and illness are individual and social, influenced by prevailing social and medical ideologies. Health beliefs clearly influence self-care motivation and have an effect on health-promoting behaviour (e.g. attendance at a screening program, food choices, adherence to prescribed medication). Further, the beliefs and attributions that people hold can directly affect physiological systems (e.g. the immune system). Health beliefs have been shown to influence a variety of patient-reported outcomes, including medication adherence, satisfaction and health-related quality of life. It is widely acknowledged that when the patient's beliefs are acknowledged and incorporated, rather than ignored, optimal biomedical patient-reported outcomes are more likely to be achieved. Several psychological models have been developed to predict health behaviours and may be utilised to identify the beliefs that inform such behaviours. These models consider the social milieu, personality, demographic, political and economic predictors of health beliefs. They demonstrate the impact of beliefs such as the causes of illness, effectiveness of healthcare and acceptability of health services, and how manipulating these can result in actual or intended behaviour change. This workshop will introduce health beliefs and discuss the psychological models that underpin the translation of belief into behaviour. The session is interactive, with participants defining health beliefs and their impact on behaviour. Participants will be invited to critique the models and apply their chosen model to a health indication of their choice.

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Objective: To identify the type and proportion of depressive and related mental health disorders in a group of individuals seeking outpatient treatment at an alcohol and other drug (AOD) service.
Design, setting and participants: A cross-sectional study using diagnostic interviews with 95 participants (56 men, 39 women) seeking treatment from an AOD service.
Main outcome measures: Mental health and substance disorders were measured using the Composite International Diagnostic Interview, Posttraumatic Stress Disorder Checklist, Beck Depression Inventory, and State–Trait Anxiety Inventory (Trait Version).
Results: This was a complex group with addiction, mental health and physical health conditions; 76% had a depressive disorder and 71% had an anxiety disorder. Most were diagnosed with at least two mental health disorders and 25% were diagnosed with four or more different disorders. Alcohol and cannabis use were the most commonly diagnosed AOD disorders. Further, those diagnosed with a drug use disorder reported significantly higher levels of depression compared with those with an alcohol-only disorder. Finally, 60% of the sample reported chronic health conditions, with over one third taking medication for a physical condition on a regular basis.
Conclusions: Primary care providers such as general practitioners are likely to be increasingly called on to assess, treat and/or coordinate care of patients with AOD disorders. We show that this group will likely present to their GP with more than one MJA 2011; 195: S60–S63 mental health disorder in addition to acute and chronic physical health conditions.

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Promoting physical activity, particularly for leisure and transport, could be an important aspect in preventing depression amongst women living in disadvantaged neighbourhoods. Furthermore, including some aspect of social physical activity and reducing time spent in sedentary behaviours may further reduce risk of depression.

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Australian children from disadvantaged families are at increased risk of delays in acquiring fundamental movement skills, with physical inactivity and increased risk of the potential consequences of obesity. The aims of this pilot study were to: 1) assess the fundamental movement skills of disadvantaged children; 2) evaluate the feasibility and effectiveness of adapting an existing parenting and child development program to incorporate additional weekly play activities (the intervention); and 3) examine the acceptability of the intervention. Children aged 1.5-5 years were assessed pre-intervention (n = 26) and postintervention (n = 16) over a period of 22 weeks using the gross motor component of the Peabody Developmental Motor Scales - 2nd Edition (PDMS-2) (Folio & Fewell, 2000). Parents completed a demographic and environmental survey and those implementing the intervention were interviewed to assess the feasibility and acceptability of the intervention. Pre-intervention the children from disadvantaged families had locomotion, object manipulation and Gross Motor Quotient (GMQ) scores significantly below the norm-referenced standards of the PDMS-2 (p < 0.05). The intervention was associated with improvements in the locomotion (8.35 to 9.5; p = 0.009), and object manipulation (8.6 to 9.6; p = 0.04) subtest scores and the GMQ scores (92.6 to 99.3; p < 0.01). The intervention was deemed feasible and acceptable by those implementing the program. Low levels of physical activity in disadvantaged communities may be related to delayed acquisition of fundamental movement skills in childhood. This pilot study raises the possibility of correcting this deficit in early childhood, and improving the potential for all children to lead an active life.

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The aim of the study was to compare anthropometric and physical performance data of players who were selected for a Victorian elite junior U18 Australian rules football squad. Prior to the selection of the final training squad, 54 players were assessed using a battery of standard anthropometric and physical performance tests. Multivariate analysis (MANOVA) showed significant (p < 0.05) differences between selected and non-selected players when height, mass, 20-m sprint, agility and vertical jump height were considered collectively. Univariate analysis revealed that the vertical jump was the only significant (p < 0.05) individual test and a near significant trend (p = 0.07) for height differentiating between selected and non-selected players with medium effect sizes for all other tests except endurance. In this elite junior football squad, physical characteristics can be observed that discriminate between players selected and non-selected, and demonstrates the value of physical fitness testing within the talent identification process of junior (16–18 years) players for squad and/or team selection. Based on MANOVA results, the findings from this study suggest team selection appeared to be related to a generally higher performance across the range of tests. Further, age was not a confounding variable as players selected tended to be younger than those non-selected. These findings reflect the general consensus that, in state-based junior competition, there is evidence of promoting overall player development, selecting those who are generally able to fulfil a range of positions and selecting players on their potential.

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Background: Prostate cancer is the most common male cancer in developed countries and diagnosis and treatment carries with it substantial morbidity and related unmet supportive care needs. These difficulties may be amplified by physical inactivity and obesity. We propose to apply a multimodal intervention approach that targets both unmet supportive care needs and physical activity.

Methods/design: A two arm randomised controlled trial will compare usual care to a multimodal supportive care intervention “Living with Prostate Cancer” that will combine self-management with tele-based group peer support. A series of previously validated and reliable self-report measures will be administered to men at four time points: baseline/recruitment (when men are approximately 3-6 months post-diagnosis) and at 3, 6, and 12 months after recruitment and intervention commencement. Social constraints, social support, self-efficacy, group cohesion and therapeutic alliance will be included as potential moderators/mediators of intervention effect. Primary outcomes are unmet supportive care needs and physical activity levels. Secondary outcomes are domain-specific and healthrelated quality of life (QoL); psychological distress; benefit finding; body mass index and waist circumference. Disease variables (e.g. cancer grade, stage) will be assessed through medical and cancer registry records. An economic evaluation will be conducted alongside the randomised trial.

Discussion: This study will address a critical but as yet unanswered research question: to identify a populationbased way to reduce unmet supportive care needs; promote regular physical activity; and improve disease-specific and health-related QoL for prostate cancer survivors. The study will also determine the cost-effectiveness of the intervention.

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Background : Osteoporosis affects over 220 million people worldwide, and currently there is no 'cure' for the disease. Thus, there is a need to develop evidence-based, safe and acceptable prevention strategies at the population level that target multiple risk factors for fragility fractures to reduce the health and economic burden of the condition.

Methods :
The 'Osteo-cise: Strong Bones for Life' study will investigate the effectiveness and feasibility of a multi-component targeted exercise, osteoporosis education/awareness and behavioural change program for improving bone health and muscle function, and reducing falls risk in community-dwelling older adults at an increased risk of fracture. Men and women aged 60 years or above will participate in an 18-month randomised controlled trial comprising a 12-month structured and supervised community-based program and a 6-month 'research to practise' translational phase. Participants will be randomly assigned to either the 'Osteo-cise' intervention or a self-management control group. The intervention will comprise a multi-modal exercise program incorporating high velocity progressive resistance training, moderate impact weight-bearing exercise and high challenging balance exercises performed three times weekly at local community-based fitness centres. A behavioural change program will be used to enhance exercise adoption and adherence to the program. Community-based osteoporosis education seminars will be conducted to improve participant knowledge and understanding of the risk factors and preventative measures for osteoporosis, falls and fractures. The primary outcomes measures, to be collected at baseline, 6, 12, and 18 months, will include DXA-derived hip and spine bone mineral density measurements and functional muscle power (timed stair-climb test). Secondary outcomes measures include: MRI-assessed distal femur and proximal tibia trabecular bone micro-architecture, lower limb and back maximal muscle strength, balance and function (four square step test, functional reach test, timed up-and-go test and 30-second sit-to-stand), falls incidence and health-related quality of life. Cost-effectiveness will also be assessed.

Discussion :
The findings from the Osteo-cise: Strong Bones for Life study will provide new information on the efficacy of a targeted multi-modal community-based exercise program incorporating high velocity resistance training, together with an osteoporosis education and behavioural change program for improving multiple risk factors for falls and fracture in older adults at risk of fragility fracture. Trial Registration: Australian New Zealand Clinical Trials Registry reference ACTRN12609000100291

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This paper presents the rationale and psychometric analysis for extending the inventory of the Assessment of Quality of Life (AQoL)-6D instrument. The resulting AQoL-8D has an 8 dimensional, 35 item inventory with greater sensitivity in the domain of mental health.The paper briefly reviews the existing QoL instruments used for economic evaluation of health programs. It outlines the steps adopted in developing the AQoL descriptive inventories and, specifically, the methods adopted for data collection and analysis for the AQoL-8D inventory.Three instruments are presented. The first, PsyQoL, is a 22 item instrument which represents the best statistical fit for the measurement of mental health related quality of life. The second, PsyQoL-Brief is a reduced form instrument which is combined with AQoL-6D as the basis for the third instrument, the AQoL-8D. Psychometric properties of the first instrument are excellent and the second are good. The full AQoL-8D has satisfactory properties. Results from a comparison with the original AQoL-6D are reported. The mental health content of AQoL-8D is unique amongst MAU instruments and, along with other AQoL instruments, unique in its derivation from psychometric analysis. Its application to mental health patients and the public demonstrates its ability to discriminate between the groups with greater sensitivity than the previous AQoL-6D instrument.

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Various trials have been conducted evaluating depression management programs for patients with Coronary Heart Disease (CHD). However, to date, the most effective way to manage this co-morbidity in the real world setting remains unclear. To better understand the past successes and failures of previous trials and subsequently develop suitable interventions that target key components of health related quality of life (HRQOL) such as mental, physical and vocational functioning, we first need to understand the mechanisms underpinning the relationship between the two conditions. This paper will draw on the key literature in this field as identified by psychiatric, medical and social sciences databases (Cochrane Central Register of Controlled Trials, PubMed, OVID, Medline) available up to January 2012, with the aim to conduct a narrative review which explores: the aetiological relationship between depression and CHD; its association with HRQOL; the relationship between CHD, depression and vocational functioning; and the impact of depression treatment on these outcomes. Key recommendations are made regarding the management of this prevalent co-morbidity in clinical settings.