7 resultados para healthy ageing
em University of Queensland eSpace - Australia
Resumo:
Proceedings of ERA 2002 – 1st National Conference for Emerging Researchers in Ageing
Resumo:
This study investigates the sense of belonging to a neighbourhood among 9445 women aged 73-78 years participating in the Australian Longitudinal Study on Women's Health. Thirteen items designed to measure sense of neighbourhood were included in the survey of the older women in 1999. Survey data provided a range of measures of demographic, social and health-related factors to assess scale construct validity. Factor analysis showed that seven of the items loaded on one factor that had good face validity and construct validity as a measure of the sense of neighbourhood. Two of the remaining items related to neighbourhood safety and comprised a factor. A better sense of neighbourhood was associated with better physical and mental health, lower stress, better social support and being physically active. Women who had lived longer at their present address had a better sense of belonging to their neighbourhood, as did women living in non-urban areas and who were better able to manage on their income. Feeling safe in the neighbourhood was least likely in urban areas, increased in rural townships, and was most likely in rural and remote areas. Older women living alone felt less safe, as did women who were less able to manage on their income. This study has identified two sets of items that form valid measures of aspects of the social environment of older women, namely the sense of neighbourhood and feelings of safety. These findings make a contribution to our understanding of the relationship between feelings of belonging to a neighbourhood and health in older women. (C) 2004 Elsevier Ltd. All rights reserved.
Resumo:
Background: fall-related hip fractures are one of the most common causes of disability and mortality in older age. The study aimed to quantify the relationship between lifestyle behaviours and the risk of fall-related hip fracture in community-dwelling older people. The purpose was to contribute evidence for the promotion of healthy ageing as a population-based intervention for falls injury prevention. Methods: a case-control study was conducted with 387 participants, with a case-control ratio of 1:2. Incident cases of fall-related hip fracture in people aged 65 and over were recruited from six hospital sites in Brisbane, Australia, in 2003-04. Community-based controls, matched by age, sex and postcode, were recruited via electoral roll sampling. A questionnaire designed to assess lifestyle risk factors, identified as determinants of healthy ageing, was administered at face-to-face interviews. Results: behavioural factors which had a significant independent protective effect on the risk of hip fracture included never smoking [adjusted odds ratio (AOR): 0.33 (0.12-0.88)], moderate alcohol consumption in mid- and older age [AOR: 0.49 (0.25-0.95)], not losing weight between mid- and older age [AOR: 0.36 (0.20-0.65)], playing sport in older age [AOR: 0.49 (0.29-0.83)] and practising a greater number of preventive medical care [AOR: 0.54 (0.32-0.94)] and self-health behaviours [AOR: 0.56 (0.33-0.94)]. Conclusion: with universal exposures, clear associations and modifiable behavioural factors, this study has contributed evidence to reduce the major public health burden of fall-related hip fractures using readily implemented population-based healthy ageing strategies.
Resumo:
Background. Although improvements in life expectancy have been attributed in part to the adoption or a more prudent lifestyle, few studies have examined the association of lifestyle with survival, using several lifestyle factors simultaneously, in a healthy elderly population. Methods. We investigated the association of health related behaviors with mortality in 7989 men aged 65 to 83 years participating in a population-based trial in Perth, Western Australia, by calculating a lifestyle score as a simple tally of flow many or eight prudent behaviors each individual followed. Results. Invitations to screening produced a corrected response of 70.5%. Out of a possible score of 8.46% of men had a score of less than 5. Within 5 years, a total of 703 men (9%) had died from any cause. The hazard ratio in men with a low lifestyle score was 1.3 [95% confidence interval (CI): 1.1-1.5] compared with men with a score of 5 or more. Conclusions. Lifestyle remains an important predictor of mortality even in old age. Survival in older men without a history of cardiovascular disease can potentially be enhanced by promoting a healthy lifestyle. © 2004 Elsevier Inc, All rights reserved.
Resumo:
With global trends in population aging, many nations are developing and implementing healthy aging policies to promote quality as well as years of healthy life. To broaden the evidence base for such policy development, a review of the literature was conducted to summarize the existing evidence regarding the behavioral determinants of health), aging. Such research is needed so that the efficacy of modes of intervention can be better understood. The Outcome of: healthy or successful aging was selected for this review since this nomenclature dominates the literature describing a global measure of multidimensional functioning at the positive end of the health continuum in older age. Studies published between 1985 and 2003 that reported statistical associations between baseline determinants and healthy aging Outcome were identified from a systematic search of medical, psychological, sociological, and gerontological databases. Eight studies satisfied the search criteria. Modifiable risk factors among the behavioral determinants included smoking status, physical activity level, body mass index, diet, alcohol use, and health practices. On the basis of these findings, effective healthy aging policies need to enhance opportunities across the life span for modification of lifestyle risk factors. Efforts to standardize concepts and terminology will facilitate further research activity in this important area. (Am J Prev Med 2005;28(3):298-304) (c) 2005 American Journal of Preventive Medicine.