937 resultados para low SES students


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Lesson planning usually involves the generation of a hypothetical learning trajectory. This paper illustrates a teaching strategy that is one focus of a major research project. Alternative learning trajectories with different entry level prompts were used to enable students to access the concepts and procedures necessary for their joining the main learning trajectory. The strategy is being trialled in primary classrooms that have a large proportion of lower SES students, with the aim of maximising success in mathematics for all students.

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Issue addressed: Mental health promotion aimed at populations with low socio-economic status (SES) may benefit by investigating prevention strategies that effectively address related child and adolescent problems.
Methods: Evidence from a number of literature reviews and program evaluations was synthesised. First, the impact of SES on development from childhood to adulthood is considered in light of research on substance
abuse, violence, crime, and child development problems. Second, evaluations of interventions are reviewed to identify those that have shown outcomes in research studies (efficacy) or in real-world settings (effectiveness) in reducing developmental problems associated with low SES. Low SES is measured in different ways including low levels of education and/or income or definitions that combine several variables into a new indicator of low SES.
Results: Factors associated with low SES are also associated to varying extent with the development of violence and crime, substance abuse and child health problems. Interventions that address underlying determinants of low SES show strong efficacy in decreasing adolescent crime and violence and effectiveness in improving child health outcomes. Although there is limited efficacy evidence that substance abuse prevention can be effectively addressed by targeting low SES, programs designed to improve educational pathways show some efficacy in reducing aspects of adolescent substance use.
Conclusion: Mental health promotion strategies can draw on the approaches outlined here that are associated with the prevention of child and adolescent problems within low SES communities. Alternatively, such interventions could be supported in mental health promotion policy as they may assist in preventing related problems that undermine mental health.

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A population-based study was conducted to validate gender- and age-specific indexes of socio-economic status (SES) and to investigate the associations between these indexes and a range of health outcomes in 2 age cohorts of women. Data from 11,637 women aged 45 to 50 and 9,510 women aged 70 to 75 were analyzed. Confirmatory factor analysis produced four domains of SES among the mid-aged cohort (employment, family unit, education, and migration) and four domains among the older cohort (family unit, income, education, and migration). Overall, the results supported the factor structures derived from another population-based study (Australian Bureau of Statistics, 1995), reinforcing the argument that SES domains differ across age groups. In general, the findings also supported the hypotheses that women with low SES would have poorer health outcomes than higher SES women, and that the magnitude of these effects would differ according to the specific SES domain and by age group, with fewer and smaller differences observed among older women. The main exception was that in the older cohort, the education domain was significantly associated with specific health conditions. Results suggest that relations between SES and health are highly complex and vary by age, SES domain, and the health outcome under study.

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A population-based study was conducted to investigate changes over time in women's well-being and health service use by socio-economic status and whether these varied by age. Data from 12,328 mid-age women (aged 45–50 years in 1996) and 10,430 older women (aged 70–75 years) from the Australian Longitudinal Study on Women's Health were analysed. The main outcome measures were changes in the eight dimensions of the Short Form General Health Survey (SF-36) adjusted for baseline scores, lifestyle and behavioural factors; health care utilisation at Survey 2; and rate of deaths (older cohort only). Cross-sectional analyses showed clear socioeconomic differentials in well-being for both cohorts. Differential changes in health across tertiles of socioeconomic status (SES) were more evident in the mid-age cohort than in the older cohort. For the mid-aged women in the low SES tertile, declines in physical functioning (adjusted mean change of –2.4, standard error (SE) 1.1) and general health perceptions (−1.5, SE 1.1) were larger than the high SES group (physical functioning –0.8 SE 1.1, general health perceptions –0.8 SE 1.2). In the older cohort, changes in SF-36 scores over time were similar for all SES groups but women in the high SES group had lower death rates than women in the low SES group (relative risk: 0.79, 95% confidence interval 0.64–0.98). Findings suggest that SES differentials in physical health seem to widen during women's mid-adult years but narrow in older age. Nevertheless, SES remains an important predictor of health, health service use and mortality in older Australian women.


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Many Australian children are more sedentary than they should be, and almost one in five are currently overweight or obese. Some children may face difficulties finding opportunities to be active, having poor access to safe public open spaces or having low independent mobility limiting their access to places to play. This study aimed to examine children's access to places in their neighborhood for active free play and how these vary by age, sex and socioeconomic status (SES). Behavioral maps of the local neighborhood were completed by children (8-12 years) from five primary schools across different areas of Melbourne. Children living in low SES outer-urban neighborhoods had to travel greater distances to access local parks compared with those in inner-urban mid and high SES areas. One-third (32%) of children reported an independent mobility range of <100 m from home. In conclusion, for some children opportunities to engage in active free play in the local neighborhood may be limited due to lack of parks in close proximity to home and restricted independent mobility. It is important to collaborate with local governments, urban planners and community groups to improve access to neighborhood parks and to promote a sense of neighborhood safety.

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Background: Access to local parks can affect walking levels. Neighborhood environment and park use may influence relationships between neighborhood socioeconomic status (SES) and walking.

Methods: Self-report data on perceived park features, neighborhood environment, park use, neighborhood walking and sociodemographics
were obtained from a sample of Australian adults, living in high/low SES areas. Surveys were mailed to 250 randomly selected households within 500m of 12 matched parks. Mediating effects of perceived environment attributes and park use on relationships between area-SES and walking were examined.

Results: Mean frequency of local park use was higher for high-SES residents (4.36 vs 3.16 times/wk, P < .01), who also reported higher levels of park safety, maintenance, attractiveness, opportunities for socialization, and neighborhood crime safety, aesthetics, and traffic safety. Safety and opportunity for socialization were independently positively related to monthly frequency of visits to a local park which, in turn, was positively associated with walking for recreation and total walking. Residents of higher SES areas reported an average 22% (95% CI: 5%, 37%) more weekly minutes of recreational walking than their low SES counterparts.

Conclusion:
Residents of high-SES areas live in environments that promote park use, which positively contributes to their weekly amounts of overall and recreational walking.

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This study reports results from the first International Body Project (IBP-I), which surveyed 7,434 individuals in 10 major world regions about body weight ideals and body dissatisfaction. Participants completed the female Contour Drawing Figure Rating Scale (CDFRS) and self-reported their exposure to Western and local media. Results indicated there were significant cross-regional differences in the ideal female figure and body dissatisfaction, but effect sizes were small across highsocioeconomic-status (SES) sites. Within cultures, heavier bodies were preferred in low-SES sites compared to high-SES sites in Malaysia and South Africa (ds = 1.94-2.49) but not in Austria. Participant age, body mass index (BMI), and Western media exposure predicted body weight ideals. BMI and Western media exposure predicted body dissatisfaction among women. Our results show that body dissatisfaction and desire for thinness is commonplace in high-SES settings across world regions, highlighting the need for international attention to this problem.

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If the higher education sector is to take seriously the federal government’s 20/40 targets, then there are three main challenges that need to be confronted, writes Trevor Gale.

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In this paper I attempt two things. First I canvass the history of social justice policy in schooling and higher education in Australia, with a view to drawing out ten principles to inform a rejuvenated social justice agenda in education, facilitated at this political moment by the current Australian Government’s financial and education commitments to/for people in low socioeconomic status communities, schools and higher education. I draw primarily on what we have learned from the 1973 Karmel Report and the Disadvantaged Schools Program to which it gave rise, and on the 1990 higher education policy statement, A Fair Chance for All. I then propose three new concepts for rethinking social justice in education, which reflect a new ‘structure of feeling’ (Williams 1961) and new social capacities in contemporary times.

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The University of Melbourne is in the embarrassing position of possibly winding back an access program for low socioeconomic and rural students to its biomedicine degree because it has been too successful.

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In this paper, the experiences of lower achieving mathematics students in two secondary mathematics classrooms in which computers were regularly used are described. A year 8 and a year 9 mathematics class from one secondary school participated in the ethnographic study. The results show that in these two classrooms the learning relationships and power relationships did not, in general, support the learning and engagement of lower achievers in mathematics. Research into computer based teaching methods that engage low achieving students in computer based mathematics is needed.

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Objective To assess the association between socioeconomic status (SES) and dietary sodium intake, and to identify if the major dietary sources of sodium differ by socioeconomic group in a nationally representative sample of Australian children.

Design Cross-sectional survey.

Setting 2007 Australian National Children's Nutrition and Physical Activity Survey.

Participants A total of 4487 children aged 2–16 years completed all components of the survey.

Primary and secondary outcome measures Sodium intake was determined via one 24 h dietary recall. The population proportion formula was used to identify the major sources of dietary salt. SES was defined by the level of education attained by the primary carer. In addition, parental income was used as a secondary indicator of SES.

Results Dietary sodium intake of children of low SES background was 2576 (SEM 42) mg/day (salt equivalent 6.6 (0.1) g/day), which was greater than that of children of high SES background 2370 (35) mg/day (salt 6.1 (0.1) g/day; p<0.001). After adjustment for age, gender, energy intake and body mass index, low SES children consumed 195 mg/day (salt 0.5 g/day) more sodium than high SES children (p<0.001). Low SES children had a greater intake of sodium from processed meat, gravies/sauces, pastries, breakfast cereals, potatoes and potato snacks (all p<0.05).

Conclusions Australian children from a low SES background have on average a 9% greater intake of sodium from food sources compared with those from a high SES background. Understanding the socioeconomic patterning of salt intake during childhood should be considered in interventions to reduce cardiovascular disease.

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This study examined reliability and validity of the Chinese version of the International Physical Activity Questionnaire–Long Form (IPAQ-LC) in Chinese seniors, including moderating effects of neighborhood walkability and socioeconomic status (SES) on reliability and validity. The IPAQ-LC was interviewer-administered (n = 96), accelerometer and 7-day walk-diary data were collected (n = 94), and the IPAC-LC was readministered (N = 92). Acceptable reliability was found for all measures of physical activity (PA) overall and across different types of neighborhood. Participants from highly walkable neighborhoods were more reliable at estimating walking for transport. Participants from low-SES areas were less reliable at estimating leisure-time PA and sitting but more reliable at estimating transport-related walking. IPAQ-LC walking was significantly related to light- but not moderate-intensity accelerometry-based PA. It was moderately to strongly related to a 7-day diary of walking. The data imply slow-paced walking, probably due to age, climate, and terrain. The findings suggest that the IPAQ-LC’s reliability and validity are acceptable in Chinese seniors.

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Objectives: To examine (1) the inter-relationships between socio-economic status (SES), physical activity, three different domains of sitting time (weekday, weekend day and leisure-time sitting), and being overweight or obese (body mass index25 kg/m2); and (2) the potential mediation effects of sitting time in the relationship between socio-economic factors and being overweight or obese in working Australian adults.

Design: Observational epidemiological study.

Subjects: One thousand forty eight working adults. Using a multistage sampling design on neighbourhood SES, participants were from high and low SES neighbourhoods of an Australian capital city.

Measurements: Neighbourhood SES was assessed using census data; individual SES was based on self-reported educational attainment and household income. There were three sitting time variables: sitting time on weekdays, weekend days and in leisure time. Overweight and obesity were determined using self-reported body weight and height.

Results: Gender, age, neighbourhood SES, education, working hours and physical activity were independently associated with weekday, weekend day and leisure-related sitting time. With the exception of education and working hours, these variables were also independently associated with being overweight or obese. Leisure-time sitting was found to be a mediator in the relationships between gender, education and being overweight or obese.

Conclusion: Strategies to promote less sitting in leisure time are required to combat overweight and obesity in Australian adults, especially among those from low SES neighbourhoods, and among those with high levels of education and income who work long hours.

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Background: There is an inverse relationship between individual socio-economic status (SES) and amount of occupational physical activity. The role of the socio-economic environment is, however, less clear. This study examined the independent influences of neighborhood and individual SES on absolute and relative amount of occupational physical activity. It also examined the moderating effects of neighborhood SES on the relationship between individual SES and occupational physical activity.

Methods: Employees (n = 1236) resident in high or low SES neighborhoods were assessed on socio-demographic factors, including educational attainment and household income, and physical activity.

Results: Neighborhood SES and individual SES were independently inversely related to absolute and relative amount of occupational physical activity. Significant interactions between neighborhood SES and level of educational attainment in the contribution of total and vigorous occupational physical activity to total physical activity were found.

Conclusions: Neighborhood SES can function as a moderator in the relationship between individual SES and occupational physical activity.