Implications of non-response of older women to a short form of the Center for Epidemiologic Studies Depression Scale

The Center for Epidemiologic Studies Depression Scale (CES-D) is frequently used in epidemiological surveys to screen for depression, especially among older adults. This article addresses the problem of non-completion of a short form of the CES-D (CESD-10) in a mailed survey of 73- to 78-year-old women enrolled in the Australian Longitudinal Study on Women's Health. Completers of the CESD-10 had more education, found it easier to manage on available income and reported better physical and mental health. The Medical Outcomes Study Short Form Health Survey (SF-36) scores for non-completers were intermediate between those for women classified as depressed and not depressed using the CESD-10. Indicators of depression had an inverted U-shaped relationship with the number of missing CESD- 10 items and were most frequent for women with two to seven items missing. Future research should pay particular attention to the level of missing data in depression scales and report its potential impact on estimates of depression.

Children's and family needs of young women with advanced breast cancer: A review

This article reviews literature about the impact of advanced breast cancer on children and families. It is clear that the adjustment of the family is influenced by disease stage and maternal adjustment, the needs of the particular child relating closely to their developmental stage. Interventions with children and families to promote adjustment when a parent has advanced cancer are also discussed, including implications for clinical practice.

A comparison of the association between socioeconomic position and cardiovascular disease risk factors in three age cohorts of Australian women: findings from the Australian Longitudinal Study on Women's Health

Objectives To assess the associations between three measurements of socioeconomic position (SEP) - education, occupation and ability to cope on available income - and cardiovascular risk factors in three age cohorts of Australian women. Methods Cross-sectional analysis of three cohorts of Australian women aged 18-23, 45-50 and 70-75 years. Results In general, for all exposures and in all three cohorts, the odds of each adverse risk factor (smoking, obesity and physical inactivity) were lower in the most advantaged compared with the least advantaged. Within each of the three cohorts, the effects of each measurement of SEP on the outcomes were similar. There were, however, some notable between-cohort differences. The most marked differences were those with smoking. For women aged 70-75 (older), those with the highest educational attainment were more likely to have ever smoked than those with the lowest level of attainment. However, for the other two cohorts, this association was reversed, with a stronger association between low levels of education and ever smoking among those aged 18-23 (younger) than those aged 45-50 (mid-age). Similarly, for older women, those in the most skilled occupational classes were most likely to have ever smoked, with opposite findings for mid-age women. Education was also differently associated with physical inactivity across the three cohorts. Older women who were most educated were least likely to be physically inactive, whereas among the younger and mid-age cohorts there was little or no effect of education on physical inactivity. Conclusion These findings demonstrate the dynamic nature of the association between SEP and some health outcomes. Our findings do not appear to confirm previous suggestions that prestige-based measurements of SEP are more strongly associated with health-related behaviours than measurements that reflect material and psychosocial resources.

Doing it from your heart: The role of older women as informal volunteers

This paper explores the contributions made by older women to the Community as informal volunteers. It argues that ageing policy is not gender neutral and tends to ignore the contributions made by Women Outside paid work. As well as being ignored in policy, women's unpaid roles have been denigrated by some feminist commentators, who suggest that these roles Subordinate the position of women. The aim of the present paper is to explore the lived experiences of older women in relation to their informal volunteer roles, using role identity theory as a framework. The study utilizes data from a qualitative study Using focus group methodology. Findings demonstrate. that informal volunteering contributes to the women's identity and gives their lives meaning. These findings suggest that a more positive policy framework around ageing is needed to ensure that the worth of these contributions is recognised.

Women from the Union of Australian Women with banner during Aldermaston Peace march in 1964

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.

Methods for Categorical Longitudinal Survey Data: Understanding Employment Status of Australian Women

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.