Exploration of the Australian Early Development Index for children with language backgrounds other than English

The Australian Early Development Index (AEDI) is a teacher-administered measure that indicates if children are starting school with the developmental capacity to take advantage of the school learning environment. A key question that arises for schools, communities, and policy makers is how valid the AEDI is for children from a Language Background Other Than English (LBOTE). This study investigated how adequately the AEDI captures the cultural variety of different behaviours and different ways of learning. The study also examined the cultural inclusivity and relevance of the AEDI materials (e.g., teacher training guidelines; administration manual). Ten focus groups (n=84) and various community consultations were conducted with early childhood education and development professionals, representing key service providers, and school personnel. The findings from these studies led to the following recommendations: For LBOTE children, the AEDI should ideally be completed in collaboration, for example, between the child’s teacher and a multicultural consultant. The teacher guidelines for the AEDI need to be enhanced with respect to issues pertaining to LBOTE children, and the AEDI should include additional domains, such as cultural competence and home based/first language skills. Finally, teacher preparation and the AEDI administration guidelines need to clarify and emphasize the intent of the AEDI.

A test of the resource security and the body mass index reference point hypotheses of body dissatisfaction amongst adolescents in eight countries

Objective. 

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.

Psychosocial stress is positively associated with body mass index gain over 5 years : evidence from the longitudinal AusDiab study

Objective
Emerging evidence suggests that psychosocial stress may influence weight gain. The relationship between stress and weight change and whether this was influenced by demographic and behavioral factors was explored.

Design and Methods
A total of 5,118 participants of AusDiab were prospectively followed from 2000 to 2005. The relationship between stress at baseline and BMI change was assessed using linear regression.

Results
Among those who maintained/gained weight, individuals with high levels of perceived stress at baseline experienced a 0.20 kg/m2 (95% CI: 0.07-0.33) greater mean change in BMI compared with those with low stress. Additionally, individuals who experienced 2 or ≥3 stressful life events had a 0.13 kg/m2 (0.00-0.26) and 0.26 kg/m2 (0.14-0.38) greater increase in BMI compared with people with none. These relationships differed by age, smoking, and baseline BMI. Further, those with multiple sources of stressors were at the greatest risk of weight gain.

Conclusion
Psychosocial stress, including both perceived stress and life events stress, was positively associated with weight gain but not weight loss. These associations varied by age, smoking, obesity, and multiple sources of stressors. Future treatment and interventions for overweight and obese people should consider the psychosocial factors that may influence weight gain.

Psychosocial and other working conditions in relation to body mass index in a representative sample of Australian workers

Background The aim of the study was to examine the relationship between psychosocial and other working conditions and body-mass index (BMI) in a working population. This study contributes to the approximately dozen investigations of job stress, which have demonstrated mixed positive and negative results in relation to obesity, overweight and BMI. Methods A cross-sectional population-based survey was conducted among working Australians in the state of Victoria. Participants were contacted by telephone from a random sample of phone book listings. Information on body mass index was self-reported as were psychosocial work conditions assessed using the demand/control and effort/reward imbalance models. Other working conditions measured included working hours, shift work, and physical demand. Separate linear regression analyses were undertaken for males and females, with adjustment for potential confounders. Results A total of 1101 interviews (526 men and 575 women) were completed. Multivariate models (adjusted for socio-demographics) demonstrated no associations between job strain, as measured using the demand/control model, or ERI using the effort/reward imbalance model (after further adjustment for over commitment) and BMI among men and women. Multivariate models demonstrated a negative association between low reward and BMI among women. Among men, multivariate models demonstrated positive associations between high effort, high psychological demand, long working hours and BMI and a negative association between high physical demand and BMI. After controlling for the effort/reward imbalance or the demand/control model, the association between physical demand and working longer hours and BMI remained. Conclusion Among men and women the were differing patterns of both exposures to psychosocial working conditions and associations with BMI. Among men, working long hours was positively associated with higher BMI and this association was partly independent of job stress. Among men physical demand was negatively associated with BMI and this association was independent of job stress.