194 resultados para health-enhancing physical activity, well-being, Basic Psychological Needs Theory

em Deakin Research Online - Australia


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The study purpose was to investigate predictive associations between adolescent girls’ motivational predispositions to physical education (PE) and habitual physical activity. Two hundred girls (age 13.1 ± 0.6 years) completed the Physical Education Predisposition Scale and the Physical Activity Questionnaire for Older Children. ANCOVAs revealed that girls with the highest Perceived PE Worth and Perceived PE Ability scores were the most habitually active groups (p < .0001). Significant predictors of physical activity identified by hierarchical regression were Perceived PE Ability and body mass index, which accounted for 17% and 3% of variance, respectively. As Perceived PE Ability was strongly associated with physical activity, the correlates of this construct should be further established to inform future school and PE-based interventions.

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Accurate assessment of physical activity energy expenditure (PAEE) among adolescents is important for surveillance, evaluating interventions, and understanding the relation between energy balance and normal physiological and behavioral growth and development. The purpose of this study was to examine the validity of the Short Questionnaire to Assess Health-Enhancing Physical Activity (SQUASH)13 for measuring PAEE among adolescents. Methods: The participants were seventeen adolescents (9 females; Mean age = 17.53; SD = 0.62). Energy expenditure was measured during a 9-day period with doubly labeled water (DLW). The SQUASH was self-administered on the morning of the 10th day and assessed commuting activities, leisure time activities, household activities, and activities at work and school over the previous 9 days. Results: A Bland-Altman plot indicated that the SQUASH underestimated PAEE compared with DLW by a mean difference of 126 kcal·d-1 (95% limits of agreement:-1,207 to 1,459 kcal·d-1), representative of a 10% underestimation. The Spearman rank order correlation coefficient showed there was a significant association between the SQUASH and DLW (r =.50, P =.04), for estimating PAEE. Conclusion: When using a sample of highly active adolescents, the SQUASH is a valid self-report tool for measuring PAEE at the group and individual rank order level.

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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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Background
The purpose of this study was to examine the reliability of stage of change (SOC) measures for moderate-intensity and vigorous physical activity in two separate samples of young adults. Staging measures have focused on vigorous exercise, but current public health guidelines emphasize moderate-intensity activity.
Method
For college students in the USA (n = 105) and in Australia (n = 123), SOC was assessed separately on two occasions for moderate-intensity activity and for vigorous activity. Test–retest repeatability was determined, using Cohen’s kappa coefficient.
Results
In both samples, the reliability scores for the moderate-intensity physical activity staging measure were lower than the scores for the vigorous exercise staging measure. Weighted kappa values for the moderate-intensity staging measure were in the “fair to good” range for both studies (0.50 and 0.45); for the vigorous staging measure kappa values were “excellent” and “fair to good” (0.76 and 0.72).
Conclusions
There is a need to standardize and improve methods for staging moderate-intensity activity, given that such measures are used in public health interventions targeting HEPA (health-enhancing physical activity).

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Objective: To assess physical activity (PA) behaviours of adults in rural Australia.

Design and setting: Three cross-sectional surveys in the Greater Green Triangle area covering the south-east of South Australia (Limestone Coast), and south-west (Corangamite Shire) and north-west (Wimmera) of Victoria during 2004–2006.

Participants: A total of 1546 persons, aged 25– 74 years, randomly selected from the electoral roll.

Main outcome measures: Overall PA, leisure-time PA, occupational PA, active commuting and moderate-to-vigorous PA.

Results: Approximately 80% of participants, more women than men, engaged in 30 minutes or more of daily PA. Only 30% (95% CI 26.3, 33.0) of men and 21% (95% CI 18.3, 23.9) of women did moderate-to-vigorous PA for at least 20–30 minutes four or more times a week. In leisure time, most participants were moderately active; almost one-fifth were inactive and another fifth highly active. Two-thirds of men engaged in high-level occupational PA, compared with one-sixth of women. Only 30% of participants actively commuted to work. There was a tendency for a positive association between income level and leisure-time PA.

Conclusions: One-fifth of adults in rural Australia were inactive. While there was a high prevalence of participants who engaged in daily PA, few did so at moderate-to-vigorous intensity to achieve health benefits. As occupational PA is difficult to change, improvements in levels of PA are more likely during leisure-time and for some people by engaging in commuting PA.

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Issue addressed: Despite recognition that urban infrastructure influences physical activity, there have been no comparisons between Australian city-level patterns of physical activity. This study ranked Australian cities in terms of adults? participation in leisure-time physical activity and examined city-level variations in activity trends between 2001 and 2009. Methods: Data on participation in leisure-time physical activity in adults (=15 years) between 2001 and 2009 were obtained from the Exercise Recreation and Sport Survey (ERASS), a computer-assisted telephone interview conducted to collect population-level sport participation information by the Australian Sports Commission. Data were analysed for respondents residing in the eight capital cities of Australia. The prevalence of meeting recommended ?health-enhancing physical activity? (HEPA) and levels of walking were calculated by age, gender and survey year. Multiple linear logistic regression analyses were used to compare cities. Results: Pooled data from 174,323 adults across years showed that Melbourne, Brisbane, Perth and Canberra residents were significantly more active than Sydney, Adelaide and Hobart residents in terms of HEPA. Hobart, Perth and Melbourne residents were significantly more likely to walk =5 sessions a week compared with their counterparts in other cities. HEPA and walking increased across most cities between 2001 and 2009. Conclusion: There are significant differences between Australian cities in physical activity and walking levels, over and above differences attributable to age, gender or educational levels. While this may be due to infrastructure differences, comparative information on indicators of the built environment and transport infrastructure are not available.

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A new approach to well-being measurement is presented in this paper based on multidimensional hierarchical human needs and motivation. This paper empirically applies this new measure of well-being to Australia for the period 1985–2000. This hierarchical approach is underpinned by a rigorous psychological theory of human motivation. Hierarchical human needs are classified into five categories. Eight indicators have been chosen to reflect these categories. A composite indicator of these eight indicators is calculated. This paper concludes that it is necessary to consider multidimensional human needs and motivation when analysing and seeking to improve well-being through economic and social development activities.

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Recognition of the important role schools play in the promotion of student well-being can be seen in the growing number of policies and programs being implemented in schools across Australia. This paper reports on some initial data from focus group interviews with Year 9 and 10 girls involved in the pilot of a health and physical activity intervention designed to connect them to their local community and reconnect them with their school and their peers. The aim of the program was to build connectedness and resilience by engaging young women in non-traditional physical activities whilst providing them with a sound understanding of health issues relevant to adolescent girls. Situated in a relatively isolated rural community 200 kilometres south-east of Melbourne the program was overwhelmingly delivered by regional and local agencies in conjunction with the local secondary school. The intervention was built on a partnerships model designed with the purpose of increasing participation and access for young women whilst building a sustainable program run in partnership between the school and local agencies and services. The initial data from this pilot indicates the program is having a positive impact on the young women's sense of self and their bodies, their relationships with their peers and in reducing bullying behaviour amongst the girls. However, the data raises some important questions around the adequacy of school-based health education, and the sustainability of approaches designed to be delivered by outside agencies rather than classroom teachers.

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This study used quantitative and qualitative techniques to examine the role of health, age, and duration of illness among people with multiple sclerosis (MS) in their economic well-being. Participants were 113 adults (31 males and 82 females) with MS who lived in urban and rural regions of Australia. The results demonstrated that health and age had a significant impact on both the economic well-being and psychological adjustment of people who contract this disorder. Different health variables predicted different aspects of economic well-being. Fatigue was the major health variable that predicted costs of MS and economic pressure, with age also predicting economic pressure, whereas income levels were predicted by cognitive confusion and mobility problems. Duration of illness, gender, and urban/rural location were not significant predictors of the economic variables. These results demonstrate the importance of obtaining multiple measures of economic well-being, as well as a broad range of health-related measures, in determining the impact of MS on the economic well-being of people with this disorder.

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Physical activity provides many health benefits, including reduced risk of cardiovascular disease, Type II diabetes and some cancers. Environmental exposure factors (e.g., the built environment) are now receiving ever-increasing attention. Large-scale interdisciplinary studies on the association between attributes of local community environments and residents’ physical activity are being conducted. We will focus on findings from Australia - the Physical Activity in Localities and Community Environments (PLACE) study. PLACE is examining factors that may influence the prevalence and the social and spatial distribution of walking for transport and walking for recreation. A stratified two-stage cluster sampling strategy was used to select 32 urban communities (154 census collection districts), classified as high and low ‘walkable’ using a GISbased walkability index (dwelling density, intersection density, net retail area and land use mix) and matched for socio-economic status. We report data on a sub-sample of 1,216 residents who provided information on the perceived attributes of their community environments (e.g., dwelling density, access to services, street connectivity) and weekly minutes of walking for transport and for recreation. Moderate to strong associations were found between GIS indicators of walkability and the corresponding self-report measures. The walkability index explained the same amount of neighborhood-level variance in walking for transport as did the complete set of self-report measures. No significant associations were found with walking for recreation. Relevant GIS-based indices of walkability, for purposes other than transport need to be   developed.

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This research develops understanding of women's perceptions and practices around physical activity when they are mothers of young children. The findings inform current approaches to promoting physical activity, helping to bring about better health outcomes for women, their families and the wider community.

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Background
Young women are at high risk for developing depression and participation in physical activity may prevent or treat the disorder. However, the influences on physical activity behaviors of young women with depression are not well understood. The aim of this study was to gather in-depth information about the correlates of physical activity among young women with and without depressive symptoms.

Methods
A sample of 40 young women (aged 18-30 years), 20 with depressive symptoms (assessed using the CES-D 10) and 20 without depressive symptoms participated in one-on-one semi-structured interviews. A social-ecological framework was used, focusing on the individual, social and physical environmental influences on physical activity. Thematic analyses were performed on transcribed interview data.

Results
The results indicated several key themes that were unique to women with depressive symptoms. These women more often described negative physical activity experiences during their youth, more barriers to physical activity, participating in more spontaneous than planned activity, lower self-efficacy for physical activity and being influenced by their friends' and family's inactivity.

Conclusions
Interventions designed to promote physical activity in this important target group should consider strategies to reduce/overcome early life negative experiences, engage support from family and friends and plan for activity in advance.