980 resultados para Australian Women


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Women from the Union of Australian Women with banner during Aldermaston Peace march, Sunday, April 5th 1964. The Aldermaston march covered the distance between Ipswich and Brisbane, Australia, walked in relays covering approximately two miles each. Most relay sections were sponsored by one or more individual organisations. The Union of Australian Women is a national organisation that was formed in 1950. Its aim is to work for the status and wellbeing of women across the world. It has been involved in a wide variety of campaigns that concern women. The Union of Australian Women networks with other women's community and union groups on such issues.

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Many variables that are of interest in social science research are nominal variables with two or more categories, such as employment status, occupation, political preference, or self-reported health status. With longitudinal survey data it is possible to analyse the transitions of individuals between different employment states or occupations (for example). In the statistical literature, models for analysing categorical dependent variables with repeated observations belong to the family of models known as generalized linear mixed models (GLMMs). The specific GLMM for a dependent variable with three or more categories is the multinomial logit random effects model. For these models, the marginal distribution of the response does not have a closed form solution and hence numerical integration must be used to obtain maximum likelihood estimates for the model parameters. Techniques for implementing the numerical integration are available but are computationally intensive requiring a large amount of computer processing time that increases with the number of clusters (or individuals) in the data and are not always readily accessible to the practitioner in standard software. For the purposes of analysing categorical response data from a longitudinal social survey, there is clearly a need to evaluate the existing procedures for estimating multinomial logit random effects model in terms of accuracy, efficiency and computing time. The computational time will have significant implications as to the preferred approach by researchers. In this paper we evaluate statistical software procedures that utilise adaptive Gaussian quadrature and MCMC methods, with specific application to modeling employment status of women using a GLMM, over three waves of the HILDA survey.

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OBJECTIVE: We aimed to describe the prevalence and age distribution of personality disorders and their comorbidity with other psychiatric disorders in an age-stratified sample of Australian women aged ⩾25 years. METHODS: Individual personality disorders (paranoid, schizoid, schizotypal, histrionic, narcissistic, borderline, antisocial, avoidant, dependent, obsessive-compulsive), lifetime mood, anxiety, eating and substance misuse disorders were diagnosed utilising validated semi-structured clinical interviews (Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Research Version, Non-patient Edition and Structured Clinical Interview for DSM-IV Axis II Personality Disorders). The prevalence of personality disorders and Clusters were determined from the study population (n = 768), and standardised to the Australian population using the 2011 Australian Bureau of Statistics census data. Prevalence by age and the association with mood, anxiety, eating and substance misuse disorders was also examined. RESULTS: The overall prevalence of personality disorders in women was 21.8% (95% confidence interval [CI]: 18.7, 24.9). Cluster C personality disorders (17.5%, 95% CI: 16.0, 18.9) were more common than Cluster A (5.3%, 95% CI: 3.5, 7.0) and Cluster B personality disorders (3.2%, 95% CI: 1.8, 4.6). Of the individual personality disorders, obsessive-compulsive (10.3%, 95% CI: 8.0, 12.6), avoidant (9.3%, 95% CI: 7.1, 11.5), paranoid (3.9%, 95% CI: 3.1, 4.7) and borderline (2.7%, 95% CI: 1.4, 4.0) were among the most prevalent. The prevalence of other personality disorders was low (⩽1.7%). Being younger (25-34 years) was predictive of having any personality disorder (odds ratio: 2.36, 95% CI: 1.18, 4.74), as was being middle-aged (odds ratio: 2.41, 95% CI: 1.23, 4.72). Among the strongest predictors of having any personality disorder was having a lifetime history of psychiatric disorders (odds ratio: 4.29, 95% CI: 2.90, 6.33). Mood and anxiety disorders were the most common comorbid lifetime psychiatric disorders. CONCLUSIONS: Approximately one in five women was identified with a personality disorder, emphasising that personality disorders are relatively common in the population. A more thorough understanding of the distribution of personality disorders and psychiatric comorbidity in the general population is crucial to assist allocation of health care resources to individuals living with these disorders.

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When the Australian Women’s Cricket Team defeated the West Indies in 2013, to win their 5th World Cup from eight attempts, they reaffirmed their status as one of Australia’s most successful international teams. Victory in the 2015 Ashes series, in England, further reinforced their pre-eminent world status. During this time, significant changes also occurred off the field. Cricket Australia introduced pay increases of up to 150% for international and state level players. The sustained success of the national team is attributed to the rapid growth of participation in women’s cricket (up 18% 2013 - 2014), a trend that has resulted in females making up almost 25% of all cricket participants across Australia. On face value, the burgeoning profile of women’s cricket across Australia is cause for celebration. It is against this backdrop that Cricket Australia faces a range of enduring and emerging issues in the provision and promotion of the women’s game. With so many changes and adaptations occurring across the game, we chose to limit the focus of this research to the elite level. Among the enduring issues that are understood at this level are persistently high attrition rates amongst elite and aspiring players and large age differences across teams and squads. A further point of difference in the men’s and women’s games is that female teams are largely supervised by male coaches and support staff.

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This research explores the health beliefs of three generations of Greek Australian women in Melbourne. It describes their experience of illness and wellbeing in the context of a culture-specific understanding of health with strong cultural, religious, and linguistic bases that derive from the community’s Greek heritage.