When do children begin to learn mathematics? Views of preschool practitioners in regional and rural Australia

Preschool directors, teachers, and assistants from regional and rural eastern Australia were interviewed in the autumn of 2008 to discover their knowledge and beliefs concerning whether young children had the capacity to solve mathematical problems, when young children begin to think mathematically, and their observations of children’s mathematics learning. Respondents overwhelmingly agreed that preschool children were capable of mathematical activity and thought. Fifty eight (88%) respondents believed that children had begun to exhibit mathematical thinking by age 3; 30 (46%) by their first birthday. Practitioners interviewed were able to provide examples of both incidental and planned mathematical activities across a breadth of content, including number and operations, measurement, geometry, and fundamental classifying and ordering activities. The practitioners also demonstrated a creditable awareness of children who seemed to have a good grasp of mathematics. Many practitioners realized that mathematical proclivity could be shown in the processes children use as they engaged in mathematical activity and solved mathematical problems.

Assessment of mathematical development in early childhood : some views of preschool practitioners in regional and rural Australia

As part of the project Mathematical Thinking of Preschool Children in Rural and Regional Australia: Research and Practice directors, teachers, and assistants in prior-to-school settings from regional and rural eastern Australia were interviewed to ascertain their beliefs and practices concerning early childhood mathematics. This paper reports the responses to  uestions about their assessment of children’s mathematical activity and development. The practitioners provided examples of both incidental and planned assessment activities, the different forms these took, methods of recording, and how the results were used.

Vitamin D and adult bone health in Australia and New Zealand : a position statement

• A significant number of Australians are deficient in vitamin D - it is a fallacy that Australians receive adequate vitamin D from casual exposure to sunlight.

• People at high risk of vitamin D deficiency include elderly people (particularly those in residential care), people with skin conditions where avoidance of sunlight is advised, those with dark skin (particularly if veiled), and those with malabsorption.

• Exposure of hands, face and arms to one-third of a minimal erythemal dose (MED) of sunlight (the amount that produces a faint redness of skin) most days is recommended for adequate endogenous vitamin D synthesis. However, deliberate sun exposure between 10:00 and 14:00 in summer (11:00-15:00 daylight saving time) is not advised.

• If this sun exposure is not possible, then a vitamin D supplement of at least 400IU (10 μg) per day is recommended.

• In vitamin D deficiency, supplementation with 3000-5000 IU ergocalciferol per day (Ostelin [Boots]; 3-5 capsules per day) for 6-12 weeks is recommended.

• Larger-dose preparations of ergocalciferol or cholecalciferol are available in New Zealand, Asia and the United States and would be useful in Australia to treat moderate to severe vitamin D deficiency states in the elderly and those with poor absorption; one or two annual intramuscular doses of 300 000 IU of cholecalciferol have been shown to reverse vitamin D deficiency states.

The rural and regional ambulance paramedic : moving beyond emergency response - report to the Council of Ambulance Authorities Inc. March 2006

Serious long-term recruitment and retention problems amongst rural health workers in Australiacontribute to inequitable health service access for rural Australians. In response, new healthcaremodels with flexible workforce roles are emerging including expanded-scope paramedic roles.

This research project was born from the view that expanding ambulance paramedics’ scope ofpractice offers the potential to improve patient care and the general health of the community.New healthcare models with flexible workforce roles are clearly needed in rural Australia andexpanded-scope paramedic roles are valuable innovations.

Environmental barriers and enablers to physical activity participation among rural adults: A qualitative study

Issue addressed Social-ecological models of health behaviour acknowledge environmental influences, but research examining how the environment shapes physical activity in rural settings is limited. This study aimed to explore the environmental factors that act as barriers or facilitators to physical activity participation among rural adults. Methods Forty-nine adults from three regions of rural Tasmania, Australia, participated in semi-structured interviews that explored features of the environment that supported or hindered physical activity. Interviews were digitally recorded, transcribed verbatim and analysed thematically. Results Four key themes emerged: functionality, diversity, spaces and places for all and realistic expectations. 'Functionality' included connectivity with other destinations, distance, safety, continuity, supporting infrastructure and surfacing. While there was limited 'diversity' of structured activities and recreational facilities, the importance of easy and convenient access to a natural environment that accommodated physical activity was highlighted. 'Spaces and places for all' highlighted the importance of shared-use areas, particularly those that were family-and dog-friendly. Despite desires for more physical activity opportunities, many participants had 'realistic expectations' of what was feasible in rural settings. Conclusions Functionality, diversity, spaces and places for all and realistic expectations were identified as considerations important for physical activity among rural adults. Further research using quantitative approaches in larger samples is needed to confirm these findings. So what? Urban-centric views of environmental influences on physical activity are unlikely to be entirely appropriate for rural areas. Evidence-based recommendations are provided for creating new or modifying existing infrastructure to support active living in rural settings.

Oncology service initiatives and research in regional Australia

OBJECTIVE: This paper reflects on the recent growth of cancer research being conducted through some of Australia's rural centres. It encompasses work being done across the fields of clinical, translational and health services research. DESIGN: This is a collaborative piece with contributions from rural health researchers, clinical and cancer services staff from several different regions. CONCLUSION: The past decade has seen an expansion in cancer research in rural and regional Australia driven in part by the recognition that cancer patients in remote areas experience poorer outcomes than their metropolitan counterparts. This work has led to the development of more effective cancer networks and new models of care designed to meet the particular needs of the rural cancer patient. It is hoped that the growth of cancer research in regional centres will, in time, reduce the disparity between rural and urban communities and improve outcomes for cancer patients across both populations.

Retrospective analysis of cancer survival across South-Western Victoria in Australia

OBJECTIVE: This paper aims to describe cancer survival and examine association between survival and socio-demographic characteristics across Barwon South-Western region (BSWR) in Victoria, Australia. DESIGN: This study is based on the retrospective cohort database of patients accessing oncology services across BSWR. SETTING: Six rural and three urban hospital settings across the BSWR. PARTICIPANTS: The participants were patients who were diagnosed with cancer in 2009. MAIN OUTCOME MEASURES: Overall survival (OS) of participants was the main outcome measure. RESULTS: Total of 1778 eligible patients had four-year OS for all cancers combined of 59.7% (95% CI, 57.4-62.0). Improved OS was observed for patients in the upper socio-economic tertile (64.2%; 95% CI, 60.9-67.5) compared to the middle (59.3%; 95% CI, 55.5-63.1) and lowest tertiles (49.6%; 95% CI, 44.2-54.9) (P < 0.01). On multivariate analyses, higher socio-economic status remained a significant predictor of OS adjusting for gender, remoteness and age (HR [hazard ratio] 0.81; 95% CI 0.74-0.89; P < 0.01). Remoteness was significantly associated with improved OS after adjusting for age, gender and socio-economic status (HR 0.86; 95% CI, 0.77-0.97; P = 0.01). Older age ≥70 years compared to <70 years conferred inferior OS (HR 3.08; 95% CI, 2.64-3.59; P < 0.01). CONCLUSIONS: Our study confirmed improved survival outcomes for patients of higher socio-economic status and younger age. Future research to explain the unexpected survival benefit in patients who lived in more remote areas should examine factors including the correlation between geographical residence and eventual treatment facility as well as compare the BSWR care model to other regions' approaches.

The association between self-reported diet quality and health-related quality of life in rural and urban Australian adolescents

OBJECTIVE: This study examines the relationship between diet quality and health-related quality of life (HRQoL) in rural and urban Australian adolescents, and gender differences.

DESIGN: Cross-sectional.

SETTING: Secondary schools.

PARTICIPANTS: 722 rural and 422 urban students from 19 secondary schools.

MAIN OUTCOME MEASURES: Self-report dietary-related behaviours, demographic information, HRQoL (AQoL-6D) were collected. Healthy and unhealthy diet quality scores were calculated; multiple linear regression investigated associations between diet quality and HRQoL.

RESULTS: Compared to urban students, rural students had higher HRQoL, higher healthy diet score, lower unhealthy diet score, consumed less soft drink and less frequently, less takeaway and a higher proportion consumed breakfast (P < 0.05). Overall, males had higher unhealthy diet score, poorer dietary behaviours but a higher HRQoL score compared to females (P < 0.05). In all students, final regression models indicated: a unit increase in healthy diet score was associated with an increase in HRQoL (unstandardised coefficient(B)±standard error(SE); B = 0.02 ± 0.01(SE); P < 0.02); and a unit increase in unhealthy diet scores was associated with a decrease in HRQoL (-0.01 ± 0.00; P < 0.05). In rural students alone, a unit increase in unhealthy diet score was associated with a decrease in HRQoL (B = -0.01 ± 0.00; P = 0.002), and in urban students a unit increase in healthy diet score was associated with an increase in HRQoL (B = 0.02 ± 0.00; P < 0.001).

CONCLUSIONS: Cross-sectional associations between diet quality and HRQoL were observed. Dietary modification may offer a target to improve HRQoL and general well-being; and consequently the prevention and treatment of adolescent health problems. Such interventions should consider gender and locality.