7 resultados para health behaviors

em University of Queensland eSpace - Australia


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Health professionals need to be cognizant of the varying perceptions of health shared by people from different religious, sociocultural, and linguistic backgrounds to deliver culturally sensitive health care. In this qualitative study, the authors used semistructured interviews to provide insight into how 10 older Arabian Gulf Muslim persons understand and perceive health and illness with emphasis on the role of Islam in formulating health behaviors. Participants' views were strongly influenced by their religious convictions. Good health was equated with the absence of visible disease, with participants demonstrating limited understanding of silent or insidious disease. They attended doctors for treatment of visible disease rather than seeking preventive health care for diseases such as hypertension, diabetes, and hyperlipidemia. Building oil the results from this study could help inform both health service planners and providers to improve the appropriateness, relevancy, and effectiveness of aged care services for these individuals.

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This study represents the first longitudinal investigation of distal psychosocial predictors of pregnancy risk-taking in young Australian women. Participants were from the Australian Longitudinal Study on Women's Health. Two mail-out surveys assessing sociodemographic, education/competence, psychosocial wellbeing, and aspiration/identity factors, were completed at ages 18 and 22 by 1647 young women in emerging adulthood, and a third survey assessing pregnancy risk-taking behaviour was completed by a subsample of 90 young women at age 24. Higher psychosocial distress at age 22 was a risk factor for pregnancy risk-taking at age 24 (beta=0.29-0.38). Post hoc analyses suggested that the strongest component of psychosocial distress when predicting pregnancy risk-taking was higher depressive symptoms (beta=0.44-0.68). Demographic, education, unemployment, and future aspirations factors at age 18 and 22 were unrelated to pregnancy risk-taking at age 24.

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Background. It is uncertain whether accepted associations between health behaviors and mortality are pertinent to elderly people. No previous studies have examined the patterns of lifestyle in elderly men with and without clinically evident vascular disease by using a lifestyle score to predict survival. Methods. We measured prevalence of a healthy lifestyle (four or more healthy behaviors out of eight) and examined survival in 11,745 men aged 65-83 years participating in a randomized population-based trial of screening for abdominal aortic aneurysm in Perth, Western Australia. After stratifying participants into five groups according to history and symptoms of vascular disease, we compared survival of men in each subgroup with that of 'healthy' men with no history or symptoms of vascular disease. Results. Invitations to screening produced a corrected response of 70.5%. After adjusting for age and place of birth, having an unhealthy lifestyle was associated with an increase of 20% in the likelihood of death from any cause within 5 years (95% CI: 10-30%). This pattern was consistently evident across subgroups defined by history of vascular disease, but was less evident for deaths from vascular disease. Conclusions. Our results highlight the importance of maintaining a healthy lifestyle through to old age, regardless of history of vascular disease. (c) 2005 Elsevier Inc. All rights reserved.

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With the increasing availability of effective, evidence-based physical activity interventions, widespread diffusion is needed. We examine conceptual foundations for research on dissemination and diffusion of physical activity interventions; describe two school-based program examples; review examples of dissemination and diffusion research on other health behaviors; and examine policies that may accelerate the diffusion process. Lack of dissemination and diffusion evaluation research and policy advocacy is one of the factors limiting the impact of evidence-based physical activity interventions on public health. There is the need to collaborate with policy experts from other fields to improve the interdisciplinary science base for dissemination and diffusion. The promise of widespread adoption of evidence-based physical activity interventions to improve public health is sufficient to justify devotion of substantial resources to the relevant research on dissemination and diffusion.

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This study explored influences on adoption, maintenance and cessation of smoking among young women as they experienced life transitions: leaving home, gaining employment or attending college/university, marriage and parenthood. Standardized, open-ended telephone interviews were conducted with 80 women (including never smokers, continuing smokers, recent adopters and quitters) aged 24-29 years, recruited from participants in the Australian Longitudinal Study on Women's Health. The social context of smoking (socializing with other smokers, drinking alcohol and going to pubs and clubs) was perceived to be a predominant influence on smoking from the time young women left home until they settled into a committed relationship or started their own family. Stress was identified as an important factor as they experienced lifestyle changes. An increased sensitivity to the negative aspects of smoking after turning 21 was reported, and around the mid-20s the women became concerned about the addictive nature of cigarettes. Motherhood was seen to carry increased responsibilities to protect children from passive smoking and there was a perceived importance of positive role modelling to protect children from becoming smokers themselves. This study highlights the need for public health campaigns to address the social role that smoking plays in young women's lives, and the perceived use of cigarettes for stress relief. Life changes such as settling down with a partner and the contemplation of motherhood provide opportunities for targeted interventions to promote quitting.

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Objective: Our aim was to determine if insomnia severity, dysfunctional beliefs about sleep, and depression predicted sleep-related safety behaviors. Method: Standard sleep-related measures (such as the Insomnia Severity Index; the Dysfunctional Beliefs About Sleep scale; the Depression, Anxiety, and Stress Scale; and the Sleep-Related Behaviors Questionnaire) were administered. Additionally, 14 days of sleep diary (Pittsburg Sleep Diary) data and actual use of sleep-related behaviors were collected. Results: Regression analysis revealed that dysfunctional beliefs about sleep predicted sleep-related safety behaviors. Insomnia severity did not predict sleep-related safety behaviors. Depression accounted for the greatest amount of unique variance in the prediction of safety behaviors, followed by dysfunctional beliefs. Exploratory analysis revealed that participants with higher levels of depression used more sleep-related behaviors and reported greater dysfunctional beliefs about their sleep. Conclusion: The findings underlie the significant influence that dysfunctional beliefs have on individuals' behaviors. Moreover, the results suggest that depression may need to be considered as an explicit component of cognitive-behavioral models of insomnia. (c) 2006 Elsevier Inc. All rights reserved.

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Objective: The authors investigated the associations of medical and lifestyle factors with the mental health of men in their 80s. Methods: This was a prospective study of a community-representative cohort of older men. Successful mental health aging was defined as reaching age 80 years with Mini-Mental State Examination score (MMSE) of 24 or more and Geriatric Depression Scale-15 items (GDS-15) score of 5 or less. Results: Of 601 men followed for 4.8 years, 76.0% enjoyed successful mental health aging. Successful mental health aging was inversely associated with age (hazard ratio [HR] = 0.87; 95% confidence interval [CI]: 0.81 - 0.94), non-English-speaking background (HR = 0.42; 95% CI: 0.21 - 0.85), and the consumption of full-cream milk (HR = 0.63; 95% CI: 0.45 - 0.89), and directly associated with high school or university education (HR = 1.92; 95% CI: 1.34 - 2.75) and vigorous (HR = 1.89; 95% CI: 1.17 - 3.05) and nonvigorous physical activity (HR = 1.50; 95% CI: 1.05 - 2.14). Marital status, smoking and alcohol use, weekly consumption of meat or fish, and a medical history of hypercholesterolemia, hypertension, diabetes, myocardial infarction, and stroke were not associated with mental health outcomes in men aged 80 years or over. Conclusion: Three in four men who reach age 80 years undergo successful mental health aging. Factors associated with successful mental health aging include education and lifestyle behaviors such as physical activity. Lifestyle modification by means of increasing physical activity and reducing saturated fat intake may prove to be a safe, inexpensive, and readily available strategy to help maximize the successful mental health aging of the population.