11 resultados para socio-demographic characteristics

em University of Queensland eSpace - Australia


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Background: Walking is integral to strategies to promote physical activity. We identified socio-demographic variations in walking for transport, and for recreation or exercise. Methods: Representative population data (n = 3392) from Australia were collected using computer assisted telephone interviewing, to examine adults’ participation in moderate- or brisk-paced walking for transport and walking for recreation or exercise; walking “sufficient” to meet the current public health guideline (> 150 min/wk); and, the contributions of total walking to meeting the guideline for total physical activity. Results: Rates of sufficient walking for transport (10% for men, 9% for women) were lower than those for walking for recreation or exercise (14% for both genders). Few socio-demographic differences emerged. Men over age 60 y were significantly less likely (OR = 0.40) to walk for transport; men age 45 to 59 y were more likely (OR = 1.56) to walk for recreation or exercise. Walking contributed more toward meeting the current public health guideline among women (15% to 21%) than among men (6% to 8%). Conclusions: There is potential for socially equitable increases in participation, through a focus on both walking for transport and on walking for recreation or exercise; attention to gender differences would be helpful.

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Background Depression is the most prevalent functional mental disorder of later life. It is estimated that about 5% of the elderly population of Hong Kong are suffering from depression. Aim To investigate the self-rated quality of life of community-dwelling elderly people diagnosed with depression, and to examine the relationships between quality of life and mental, physical health, functional status and social support. Methods and results A cross-sectional descriptive survey was conducted in psychiatric outpatient clinics. A convenience sample of 80 Chinese elderly people with a diagnosis of depressive disorder was recruited. Perception of quality of life was measured by the Hong Kong Chinese World Health Organization Quality of Life Scale-Brief Version. Participants' mental status, functional abilities, physical health condition, and social support status were assessed. Sixty-one (76.3%) participants were female. They were least satisfied with meaningfulness of life, life enjoyment, concentration and thinking, energy and work capacity. Functional abilities had a positive association with participants' perceived quality of life, level of depression and number of physical health conditions had a negative association. Participants had low ratings of quality of life when compared with healthy persons and persons with chronic physical problems. Findings are discussed in light of the socio-cultural environment in Hong Kong. Conclusion Comprehensive treatment and better control of depression, including different modes of medical and psychosocial intervention, could help to improve participants' perception of quality of life. A longitudinal study with a larger sample with various levels of depression and socio-demographic characteristics is recommended. Copyright © 2006 John Wiley & Sons, Ltd.

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This study attempts to assess the role of perceived risk in air passenger behaviour. A survey of 889 respondents is used to investigate a multidimensional concept of perceived risk and to analyse the differences between socio-demographic characteristics regarding passengers' risk assessment. The results indicate that financial risk and temporal risk are the most important in the context of commercial air travel. All perceived risk dimensions differ according gender, age, cultural background, income, previous experience, and reason for travelling. (C) 2006 Elsevier Ltd. All rights reserved.

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The aim of this study was to measure the prevalence of dietary and health supplement use among Australians aged 65 years and over, and to contrast the health differences between supplement users and non-supplement users. Data was obtained from 1,263 randomly selected older Australians, who provided general demographic data, in addition to information related to their health, symptoms experienced and uses of medication, including dietary supplements. Supplement use was reported by 43% of the sample (52% of females and 35% of males). This investigation has revealed distinct differences in the health profile of older supplement users compared to non-users. Although there was no difference in the number of visits to medical doctors or self-rated health status between supplement users and non-supplement users, supplement users were more likely to report arthritis and osteoporosis, and experience more symptoms and consume more medication than non-supplement users. In contrast, there was a reduced likelihood of taking a supplement for those with hypertension and by those using blood pressure medication and heart tablets. These results suggest that older dietary supplement users may benefit from education and professional advice to assist them make appropriate and informed choices, particularly if they expect these preparations to attenuate their health concerns.

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Objectives: To estimate differences in self-rated health by mode of administration and to assess the value of multiple imputation to make self-rated health comparable for telephone and mail. Methods: In 1996, Survey 1 of the Australian Longitudinal Study on Women's Health was answered by mail. In 1998, 706 and 11,595 mid-age women answered Survey 2 by telephone and mail respectively. Self-rated health was measured by the physical and mental health scores of the SF-36. Mean change in SF-36 scores between Surveys 1 and 2 were compared for telephone and mail respondents to Survey 2, before and after adjustment for socio-demographic and health characteristics. Missing values and SF-36 scores for telephone respondents at Survey 2 were imputed from SF-36 mail responses and telephone and mail responses to socio-demographic and health questions. Results: At Survey 2, self-rated health improved for telephone respondents but not mail respondents. After adjustment, mean changes in physical health and mental health scores remained higher (0.4 and 1.6 respectively) for telephone respondents compared with mail respondents (-1.2 and 0.1 respectively). Multiple imputation yielded adjusted changes in SF-36 scores that were similar for telephone and mail respondents. Conclusions and Implications: The effect of mode of administration on the change in mental health is important given that a difference of two points in SF-36 scores is accepted as clinically meaningful. Health evaluators should be aware of and adjust for the effects of mode of administration on self-rated health. Multiple imputation is one method that may be used to adjust SF-36 scores for mode of administration bias.

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PURPOSE: Research on determinants of an individual's pattern of response, considered as a profile across time, for cohort studies with multiple waves is limited. In this prospective population-based pregnancy cohort, we investigated baseline characteristics of participants after partitioning them according to their history of response to different interview waves. METHODS: Data are from the Mater-University of Queensland Study of Pregnancy 1981 to 1983 cohort, Brisbane, Australia. Complete baseline information was collected for 7223 of 7535 eligible individuals (95.9%). Follow-up occurred at 6 months, 5 years, and 14 years. Response rates were 93.0%, 72.5%, and 71.8%. Participants were allowed to leave and reenter the study. Participants were categorized as always, intermittent, or never responders. Intermittent responders were categorized further as leavers (responded at least once before leaving the study) or returners (left the study before reentering). RESULTS: Participants who always responded were older, more educated, married, Caucasian, and nonsmokers and had higher incomes. Intermittent responders shared similar baseline characteristics. Relative risk for being an intermittent responder was located between risks for always or never responding. CONCLUSIONS: Participants who left and reentered the study had baseline characteristics similar to participants who responded at least once and then left the study.