171 resultados para SOCIOECONOMIC INDICATORS


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Many adolescents have diets that are less than optimal, particularly adolescents of low socioeconomic position (SEP). The determinants of SEP differences in adolescent dietary intake are poorly understood. This study examined the home food environments of adolescents and specifically investigated whether low SEP adolescents have less supportive home local environments, fewer eating rules and poorer home availability of fruit and vegetables than adolescents of high SEP. A cross-sectional, self-reported survey was administered to 3,264 adolescents in years 7 and 9, from 37 secondary schools in Victoria, Australia. Adolescent perceptions of the home meal environment, eating rules and home food availability were described and compared across SEP, which was measured using maternal education. Maternal education was linked to various aspects of the home meal environment, as well as home food availability, but not to eating rules. Low SEP adolescents were more likely to report that they were always allowed to watch television during meal times, and that unhealthy foods were always or usually available at home. In contrast, high SEP adolescents were more likely to report that vegetables were always served at dinner, that the evening meal was never an unpleasant time and always or usually a time for family connectedness, and that fruit was always or usually available at home. This study highlights aspects of the home food environment that might explain SEP variation in adolescent diets. Feasible ways of increasing home availability of healthy foods, and encouraging home meal environments to be supportive of healthy eating should be explored, particularly in households of low SEP adolescents.

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Objective: The objective was to determine the prevalences of overweight and obesity in regional Australian children and to examine the association between BMI and indicators of socioeconomic status (SES).

Research Methods and Procedures: Regionally representative cross-sectional survey of 2184 children, 4 to 12 years of age, was conducted, and the socio-demographic characteristics of their parents from regional Victoria, Australia, 2003 to 2004, were obtained.

Results: The prevalences of overweight and obesity were 19.3 plusminus 0.8% (proportion plusminus standard error) and 7.6 plusminus 0.6% , respectively, using international criteria, and the proportion of overweight/obese girls was significantly higher than that of boys (29.6 plusminus 1.4% vs. 23.9 plusminus 1.3% , chi2 = 9.01, p = 0.003). Children from households of lower SES had higher odds of being overweight/obese; lower SES was defined by lower paternal education (adjusted odds ratio, 1.18; 95% confidence interval, 1.08 to 1.30) and lower area-level SES (adjusted odds ratio, 1.13; 95% confidence interval, 1.02 to 1.25), adjusted for age, gender, height, and clustering by school.

Discussion: The prevalences of overweight and obesity are increasing in Australian children by about one percentage point per year. This equates to approx40,000 more overweight children each year, placing Australian children among those at highest risk around the world. In addition, girls are more likely to be overweight, and there is a general trend for children of lower SES to be at even greater risk of overweight and obesity.

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This paper concerns the use of social indicators to improve social development and the happiness of populations. A distinction will be drawn between the traditional indicators of wealth and health and the new subjective social indicators. These latter measures concern the subjective side of life quality, or happiness, which in contemporary science is more commonly referred to as subjective wellbeing (SWB). The SWB construct is described within the theoretical context of SWB homeostasis. This is a proposed management system which has the role of maintaining a positive view of the self. It will be described how the homeostatic system can be challenged by hardship and defended by a variety of resources. Recommended forms of SWB measurement will be considered. It is concluded that both objective and subjective social indicators should be consulted by policy makers in order to plan the most effective initiatives to enhance population wellbeing.

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Objective: To investigate thecorrelations between age- and gender-specificmeasures of socio-economic status versus healthstatus as measured by the SF-36.

Design: Population based study.

Participants: 38187 people aged between18 to 79 years who participated in the NationalHealth Survey in 1995.

Results: Factor analysis producedconsistent results that were interpreted interms of five conceptually meaningful domains(employment, housing, migration, family unitand education). The relative rank of thefactors differs between groups and in somecases factor composition requires items to beadded or deleted from the conceptual domains.

Conclusions: Age- and gender-specific SESscores based on these factors had strongerassociations with the physical and mentalcomponents of SF-36 than either an area basedindex or scores derived from males aged 40–44years. Overall the results supported thehypothesis that SES measures composed of socialand demographic items exhibit important age-and gender-specific differences which arerelevant for health.

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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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Both the learning organization literature and the self-managed work team literature have alluded to the potential links between teamwork and learning. However, as yet the link between these two concepts remains undeveloped. This study uses a survey of a random sample of 200 Australian organizations to empirically examine the relationships between self-managed work teams and the learning organization using performance indicators as a medium. It was found that the learning organization concept displays a moderate to strong link with three measures of performance used in this study: knowledge performance, financial performance and customer satisfaction. Although the self-managed work team concept did not display any significant relationship with performance, the qualitative component of the survey did emphasize that there is a common belief that self-managed teams can increase performance in the right setting. While an insignificant relationship between self-managed teams and the learning organization was also found, this study suggests some methodological concerns for future research into the relationship between self-managed teams and the learning organization.

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Objective: To investigate character istics associated with body mass index (BMI) and waist circumference stability over a five-year period in women with school-age children.

Methods: Women with 7–8 year-old children from western Sydney, Australia, had anthropometric measures taken in 1996/97 (n====436) and five years later (n=327). Socio-demographic characteristics examined at baseline included age, socioeconomic status, smoking, and number of children.

Results: Over five years, less than half of the women maintained a stable BMI (38.8%) or waist circumference (31.5%), with the majority gaining in both indicators of adiposity. BMI and socio-demographic characteristics were not predictive of BMI or waist circumference stability or decrease.

Conclusions and Implications: Total and abdominal adiposity increased in these Australian women who have children. The results support the need to develop effective weight gain prevention initiatives.

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After reviewing relevant literature on socio-economic status (SES) and the ways in which it is used for higher education institutional research and policy, a detailed data analysis of Victoria University (Australia) student data was undertaken. Between 10,000 and 15,000 domestic student addresses were ‘geocoded’ to Australian Bureau of Statistics (ABS) collection district level. A survey of individual reenrolling 2001 students that included parental occupation and education data was also analysed. The most important findings were: (1) The debate for practical reasons tends to focus on area versus individual measures, but SES is a richer and more complex subject and must be acknowledged as such. (2) It is apparent that VU’s student catchment is on average of lower SES than the Melbourne average, using various area measures of SES, including the DEST-Martin indicators. (3) There is only a very small difference between average area SES measures at the collection district and the postcode level. In practical terms this means that the postcode method is adequate, as well as being cheaper and more efficiently obtained, for analyses at an aggregated (or average) level. (4) Individual surveys of students do not prima facie add to the quality of aggregated institution level SES results delivered by area analyses. This again suggests that the postcode method is best for practical reasons.

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The article discusses various reports published within the issue, including one on the biotechnology industry players in Singapore and another on a market audit survey on the Singapore biotechnology sector.

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The article presents survey commentaries and analysis on Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis of biotechnology boom indicators in Singapore as of April 2006. SWOT is the process whereby the strengths and weaknesses in the internal environment are analyzed in association with the opportunities and threats arising from the external environment. The success of Singapore's biotechnology sector depends on the effectiveness and efficiency of the interface between the external and internal environments. The strengths, weaknesses, opportunities, and threats in the industry are discussed.