Australian Unity Wellbeing Index survey 28.0 : The wellbeing of Australians - The impact of marriage : Report

The Australian Unity Wellbeing Index monitors the subjective wellbeing of the Australian population. Our first survey was conducted in April 2001 and this report concerns the 28 th survey, undertaken in September 2012. Our previous survey had been conducted six months earlier in April. This intervening period corresponded to the 5 th year of the Labor Government, elected in November 2007. It was also marked by continuing apprehension at the unstable international financial situation, with serious problems in Europe. The Australian economy, however, appeared stable. 

Australian Unity Wellbeing Index survey 30.0 : The wellbeing of Australians – social media, personal achievement, and work : Report

The Australian Unity Wellbeing Index monitors the subjective wellbeing of the Australian population. Our first survey was conducted in April 2001 and this report concerns the 30th survey, undertaken in August 2013. Our previous survey had been conducted four months earlier in April. This intervening period corresponded to the 6th year of the Labor Government, elected in November 2007. Shortly after data collection, on 7th September, an election took place at which Labor lost to the Liberal Party Coalition.
The share market had been stable for a couple of years, at a level well below its peak before the financial crisis. However, unemployment remained at about 5% and for those people with jobs, many were better-off financially due to cuts in interest rates, and so, in mortgage repayments.
Each survey involves a telephone interview with a new sample of 2,000 Australians, selected to represent the geographic distribution of the national population. These surveys comprise the Personal Wellbeing Index, which measures people’s satisfaction with their own lives, and the National Wellbeing Index, which measures how satisfied people are with life in Australia. Other items include a standard set of demographic questions and other survey-specific questions. The specific topics for Survey 30 are social media, personal achievement, and work conditions.

Employment arrangements and mental health in a cohort of working Australians : are transitions from permanent to temporary employment associated with changes in mental health?

We investigated whether being in temporary employment, as compared with permanent employment, was associated with a difference in Short Form 36 mental health and whether transitions from permanent employment to temporary employment were associated with mental health changes. We used fixed-effects regression in a nationally representative Australian sample with 10 waves of data collection (2001–2010). Interactions by age and sex were tested. Two forms of temporary employment were studied: “casual” (no paid leave entitlements or fixed hours) and “fixed-term contract” (a defined employment period plus paid leave). There were no significant mental health differences between temporary employment and permanent employment in standard fixed-effects analyses and no significant interactions by sex or age. For all age groups combined, there were no significant changes in mental health following transitions from stable permanent employment to temporary employment, but there was a significant interaction with age (P = 0.03) for the stable-permanent-to-casual employment transition, because of a small transition-associated improvement in mental health for workers aged 55–64 years (β = 1.61, 95% confidence interval: 0.34, 2.87; 16% of the standard deviation of mental health scores). Our analyses suggest that temporary employment is not harmful to mental health in the Australian context and that it may be beneficial for 55- to 64-year-olds transitioning from stable permanent employment to casual employment.

Intersections between disability, type of impairment, gender and socio-economic disadvantage in a nationally representative sample of 33,101 working aged Australians

Background:People with disabilities are socio-economically disadvantaged and have poorer health than people without disabilities; however, little is known about the way in which disadvantage is patterned by gender and type of impairment.Objectives:1. To describe whether socio-economic circumstances vary according to type of impairment (sensory and speech, intellectual, physical, psychological and acquired brain injury) 2. To compare levels of socio-economic disadvantage for women and men with the same impairment typeMethods:We used a large population-based disability-focused survey of Australians, analysing data from 33,101 participants aged 25 to 64. Indicators of socio-economic disadvantage included education, income, employment, housing vulnerability, and multiple disadvantage. Stratified by impairment type, we estimated: the population weighted prevalence of socio-economic disadvantage; the relative odds of disadvantage compared to people without disabilities; and the relative odds of disadvantage between women and men.Results:With few exceptions, people with disabilities fared worse for every indicator compared to people without disability; those with intellectual and psychological impairments and acquired brain injuries were most disadvantaged. While overall women with disabilities were more disadvantaged than men, the magnitude of the relative differences was lower than the same comparisons between women and men without disabilities, and there were few differences between women and men with the same impairment types.Conclusions:Crude comparisons between people with and without disabilities obscure how disadvantage is patterned according to impairment type and gender. The results emphasise the need to unpack how gender and disability intersect to shape socio-economic disadvantage.

Values, attitudes, and frequency of meat consumption: predicting meat-reduced diet in Australians

Reduced consumption of meat, particularly red meat, is associated with numerous health benefits. While past research has examined demographic and cognitive correlates of meat-related diet identity and meat consumption behavior, the predictive influence of personal values on meat-consumption attitudes and behaviour, as well as gender differences therein, has not been explicitly examined, nor has past research focusing on 'meat' generally addressed 'white meat' and 'fish/seafood' as distinct categories of interest. Two hundred and two Australians (59.9% female, 39.1% male, 1% unknown), aged 18 to 91 years (M = 31.42, SD = 16.18), completed an online questionnaire including the Schwartz Values Survey, and measures of diet identity, attitude towards reduced consumption of each of red meat, white meat, and fish/seafood, as well as self-reported estimates of frequency of consumption of each meat type. Results showed that higher valuing of Universalism predicted more positive attitudes towards reducing, and less frequent consumption of, each of red meat, white meat, and fish/seafood, while higher Power predicted less positive attitudes towards reducing, and more frequent consumption of, these meats. Higher Security predicted less positive attitudes towards reducing, and more frequent consumption, of white meat and fish/seafood, while Conformity produced this latter effect for fish/seafood only. Despite men valuing Power more highly than women, women valuing Universalism more highly than men, and men eating red meat more frequently than women, gender was not a significant moderator of the value-attitude-behavior mediations described, suggesting that gender's effects on meat consumption may not be robust once entered into a multivariate model of MRD attitudes and behaviour. Results support past findings associating Universalism, Power, and Security values with meat-eating preferences, and extend these findings by articulating how these values relate specifically to different types of meat.

Who are the older Australians referred for a bone density scan? Data from the Barwon region

We investigated the reasons for referral of older Australians aged 70 years and older to dual energy X-ray absorptiometry (DXA). The most common clinical indication was being aged 70 years and older, followed by monitoring for fracture or low bone mineral density (BMD). Compared to males, females were twice as likely to have osteoporotic BMD.