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Young Australians (young + australian)
Selected AbstractsLeaving Home: What Economics Has to Say about the Living Arrangements of Young AustraliansTHE AUSTRALIAN ECONOMIC REVIEW, Issue 2 2008Deborah A. Cobb-Clark Like their counterparts elsewhere, more young Australians than ever are delaying the move to establish residential independence from their parents. This paper reviews the developing economics literature surrounding young people's decisions to continue living in their parents' homes in order to begin to assess the causes and consequences of this decision. In particular, co-residence with parents appears to be an important form of intergenerational support for young adults. It is important to understand the extent to which young people rely on this form of support as they complete their education, enter the labour market and establish themselves as independent adults. Specific attention is paid to the ways in which Australian income support, education and housing policies may influence these patterns. [source] Income Support and Stigma Effects for Young AustraliansTHE AUSTRALIAN ECONOMIC REVIEW, Issue 4 2007Wang-Sheng Lee The central research question addressed in this article is how receipt of income support payments affects the well-being of youths. Using 1997,2004 panel data from a nationally representative survey of Australian youths, we attempt to estimate the size of the welfare stigma faced by Australian youths, where stigma is defined as the effect of welfare receipt on reported happiness levels. In analysing the determinants of happiness, we argue that it is important to control for dynamics and initial conditions. The latter arguably measures an initial setpoint of happiness which the psychology literature has found strong support for. In contrast to the general findings of the existence of a welfare stigma for adults, based on our results using dynamic panel probit models, our findings suggest that for Australian youths there is a small negative, but not statistically significant, stigma associated with welfare receipt. [source] Extending drug ethno-epidemiology using agent-based modellingADDICTION, Issue 12 2009David Moore ABSTRACT Aims To show how the inclusion of agent-based modelling improved the integration of ethno-epidemiological data in a study of psychostimulant use and related harms among young Australians. Methods Agent-based modelling, ethnographic fieldwork, in-depth interviews and epidemiological surveys. Setting Melbourne, Perth and Sydney, Australia. Participants Club drug users in Melbourne, recreational drug users in Perth and street-based injecting drug users in Sydney. Participants were aged 18,30 years and reported monthly or more frequent psychostimulant use. Findings Agent-based modelling provided a specific focus for structured discussion about integrating ethnographic and epidemiological methods and data. The modelling process was underpinned by collective and incremental design principles, and produced ,SimAmph', a data-driven model of social and environmental agents and the relationships between them. Using SimAmph, we were able to test the probable impact of ecstasy pill-testing on the prevalence of harms,a potentially important tool for policy development. The study also navigated a range of challenges, including the need to manage epistemological differences, changes in the collective design process and modelling focus, the differences between injecting and non-injecting samples and concerns over the dissemination of modelling outcomes. Conclusions Agent-based modelling was used to integrate ethno-epidemiological data on psychostimulant use, and to test the probable impact of a specific intervention on the prevalence of drug-related harms. It also established a framework for collaboration between research disciplines that emphasizes the synthesis of diverse data types in order to generate new knowledge relevant to the reduction of drug-related harms. [source] Leaving Home: What Economics Has to Say about the Living Arrangements of Young AustraliansTHE AUSTRALIAN ECONOMIC REVIEW, Issue 2 2008Deborah A. Cobb-Clark Like their counterparts elsewhere, more young Australians than ever are delaying the move to establish residential independence from their parents. This paper reviews the developing economics literature surrounding young people's decisions to continue living in their parents' homes in order to begin to assess the causes and consequences of this decision. In particular, co-residence with parents appears to be an important form of intergenerational support for young adults. It is important to understand the extent to which young people rely on this form of support as they complete their education, enter the labour market and establish themselves as independent adults. Specific attention is paid to the ways in which Australian income support, education and housing policies may influence these patterns. [source] Day type and the relationship between weight status and sleep duration in children and adolescentsAUSTRALIAN AND NEW ZEALAND JOURNAL OF PUBLIC HEALTH, Issue 2 2010Tim Olds Abstract Objective: This study aimed to explore sleep duration in young Australians on different types of days across weight classes. Methods: Use of time and anthropometric data were collected on 8,866 nights from 3,884 9,18 year old Australians. The association between sleep duration and weight status was examined using factorial ANOVA for four day types: S-S (to bed and waking on school days); S-NS (to bed on school day and waking on non-school day); NS-NS (to bed and waking on non-school days); NS-S (to bed on non-school day and waking on school day). Results: Sleep duration varied with weight status when all day types were considered together (p=0.0012). Obese adolescents slept less than normal and underweight adolescents. However, the relationship varied for different day types; with the strongest relationship for NS-S days (on which obese children slept 65 min less than very underweight children, p<0.0001). Conclusions: The association between weight status and sleep duration showed consistent gradients across weight categories, but only for certain day types. Implications: These patterns cast light on the direction of causation in the obesity-sleep duration relationship. Findings suggest that short sleep duration contributes to obesity, or that a third unidentified factor has an impact on both. [source] |