Smoking status of Australian general practice patients and their attempts to quit

This paper seeks to report on smoking rates, quit attempt methods and success rates among adult patients attending Australian general practice. A cluster cross-sectional survey was used to survey adult patients (18+), who attended Australian GPs in during 2002 and 2003. Over a quarter of patients (27.3%; 95% CI: 26.0-28.7) were former smokers and one in five (21.5%; 95% CI: 20.1-22.9) were current smokers. Ninety-two percent of former and 80% of current smokers used only one method in their last quit attempt with cold turkey the most common method used by both former (88%) and current (62%) smokers. Overall, success rates varied from 77% for cold turkey to 23% for bupropion. Success rates were re-analysed to consider quit attempts post-bupropion listing, with success rate for cold turkey reduced to 40% while bupropion remained reasonably constant at 21%. By tailoring smoking cessation interventions to a smokers' preparedness to quit, scope exists to increase the pool of smokers offered strategies that are more effective in achieving abstinence and avoiding relapse rather than relying on less effective self-quitting behaviours such as cold turkey. (c) 2005 Elsevier Ltd. All rights reserved.

Overview of the conservation status of Australian frogs

A review of the current conservation status of Australian amphibians was recently completed as part of a World Conservation Union (IUCN) sponsored Global Amphibian Assessment (GAA). Fifty of 216 amphibian species (23%) in Australia are now recognized as threatened or extinct in accord with IUCN Red List Categories and Criteria. Here we report on the categories and criteria under which individual species qualified for listing and provide a summary of supporting information pertaining to population and distribution declines. Major threatening processes contributing to listing of species are also reviewed.

Who made the final decision?: Social characteristics and initiator status of marriage breakdown

In this lecture presented in August 2005, Belinda Hewitt from the University of Queensland discussed the findings from a report she co-authored with Associate Professor Mark Western and Professor Janeen Baxter from the University of Queensland Social Research Centre on the relationship between social characteristics that have been found to be associated with marriage breakdown and the initiator status of separation.

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.