School health policies and practices in Victoria- a comparison involving socio-economic status

Issue addressed: Health programs have been part of the responsibility of Victorian school education for 90 years. Yet rarely have there been studies to identify what is happening in school health promotion, or what the differences between schools might be, particularly in relation to the socioeconomic status of the school community and whether the school is in a metropolitan or regional area. Methods: In 1997 all Victorian schools (primary and secondary) in the State, Catholic and Independent systems were sent questionnaires in order to promote broader awareness about health promotion, and to identify what health programs, policies and activities the schools believed existed within their school community. A response rate of 43% was achieved, and results were collated under the six domains of the Health Promoting School model as outlined by the Western Pacific Regional Office of the World Health Organisation. Data analysed in this paper compared highest versus lowest quartiles for socioeconomic status (SES), and schools in metropolitan Melbourne versus regional areas. Results: Most differences between schools based on socioeconomic status occurred in secondary schools and were related mainly to environmental policies and practices, use of back packs, the presence of safety policies, involvement of parents in school activities and the provision of services for mental and social health needs. All differences were in favour of the highest SES quartile schools. Environmental policies and procedures, and school-based health and welfare services were present more often in metropolitan schools than in regional and rural schools. Conclusion: Although there were notable differences between schools, the audit results pointed to more similarities than differences between schools in the highest and lowest SES quartiles for health-related policies and practices; there were even fewer differences between metropolitan and non-metropolitan schools. So what: Regardless of the actual advantages and disadvantages schools experience with respect to location or socioeconomic status, it is important to understand that school staff perceive that they can and do have reasonably comprehensive health policies, procedures and practices to address health issues. Nevertheless, clear differences between schools did emerge in certain health areas and findings will assist policy making and the allocation of limited resources.

The Digital Divide: Differences in Computer Use between Home and School in Low Socio-economic Households

This article examines information and communication technologies(ICTs) practices in the home and school settings of four disadvantaged families. It reports the findings of a year-long study that investigated the nexus between computer-mediated literacy practices at home and at school and whether this inter-connectivity could make a difference in school success. The findings indicate that there was disjunction between home and school use. The ``digital divide'' exists for the families of this study, not in terms of access but in the gap between ICT practices at home and school. Schools in this study did not integrate ICT skills learned and demonstratedin the home environment into ICT practices at school. The study concludes that constructing pedagogical connections between home and school ICT practices may begin to bridge the ``digital divide''.

Understanding the role of mediating risk factors and proxy effects in the association between socio-economic status and untreated hypertension

The association between socio-economic status (SES) and untreated hypertension varies according to a country's level of development and racial/ethnic group. We sought to confirm this variation in women from China and the United States (US) as well as to investigate the impact of SES on several mediating risk factors. We also investigate the extent to which SES explains racial/ethnic differences in untreated hypertension in the US. We used cross-sectional data from 1814 non-pregnant women in China (China Health and Nutrition Survey (CHNS), 1997) and 3266 non-pregnant women in the United States (National Health and Nutrition Examination Survey (NHANES III), 1988–1994) respectively. A variety of statistical modelling techniques was used to predict untreated hypertension as a function of several mediating factors and to simulate the impact of changes in SES. The age-adjusted prevalence of untreated hypertension was significantly higher (p<0.01) for low-income White and Black women compared to Mexican American or Chinese women. Untreated hypertension was not significantly associated with income or education in Mexican Americans or women in China. Obesity and light physical activity had the largest mediating effect on the association between SES and untreated hypertension for all racial/ethnic groups. However, this effect was not as strong as the proxy effect of income and education. SES did not completely explain racial/ethnic differences in hypertension in the US. While SES was more strongly associated with hypertension in Blacks than Whites, Blacks were still 1.97 (95% CI 1.47–2.64) times more likely to have untreated hypertension than Whites after adjusting for SES differences. The association between SES and untreated hypertension varied by country and racial/ethnic group. An important explanation for this variation was the differential effect of SES on mediating risk factors. SES disparities between Whites and Blacks in the US partly explain differences in the prevalence of untreated hypertension between these racial/ethnic groups.

Trends in children`s physical activity and weight status in high and low socio-economic status areas of Melbourne, Victoria, 1985-2001

Objective:
To examine trends in active transport to and from school, in school sport and physical education (PE), and in weight status among children from high and low socio-economic status (SES) areas in Melbourne, Victoria, between 1985 and 2001.

Methods:
Cross-sectional survey data and measured height and weight from 1985 (n=557) and 2001 (n=926) were compared for children aged between 9–13 years within high and low SES areas.

Results:
From 1985 to 2001, the frequency of walking to or from school declined (4.38±4.3 vs. 3.61 ± 3.8 trips/wk, p<0.001), cycling to or from school also declined (1.22±2.9 vs. 0.36±1.5 trips/wk, p<0.001), and the frequency of PE lessons declined (1.64±1.1 vs. 1.18±0.9 lessons/wk, p<0.001). However, the frequency of school sport increased (0.9±1.22 vs. 1.24±0.8 sessions/wk, p<0.001). In 1985, 11.7% of children were overweight or obese compared with 28.7% in 2001 (p<0.001). Apart from walking to school and school sport, there were greater relative declines in cycling to school and PE, and increases in overweight and obesity among children attending schools in low SES areas compared with those attending schools in high SES areas.

Conclusions:
Declines in active school transport and PE have occurred at the same time as increases in overweight and obesity among Australian children.

Implications:
Promoting active school transport and maintaining school sport and PE should be important public health priorities in Australia. Current inequities in school sport and PE and in prevalence of overweight and obesity by area-level SES also need to be addressed.

Socio-economic factors in obesity: a case of slim chance in a fat world?

The global obesity pandemic has been well-documented and widely discussed by the public, the media, health officials, the food industry and academic researchers. While the problem is widely recognised, the potential solutions are far less clear. There is only limited evidence to guide decisions as to how best to manage obesity in individuals and in populations. While widely viewed as a clinical and public health problem in developed countries, it is now clear that many developing countries also have to grapple with this problem or face the crippling healthcare costs resulting from obesity-related morbidity. There is also abundant evidence that obesity is socio-economically distributed. In developed countries persons of lower socio-economic position are more likely to be affected, while in developing countries, it is often those of higher socio-economic position who are overweight or obese. The aim of this paper is to briefly review the evidence that links socio-economic position and obesity, to discuss what is known about underlying mechanisms, and to consider the role of social, physical, policy and cultural environments in explaining the relationships between socio-economic position and obesity. We introduce the concept of ‘resilience’ as a potential theoretical construct to guide research efforts aimed at understanding how some socio-economically disadvantaged individuals manage to avoid obesity. We conclude by considering an agenda to guide future research and programs focused on understanding and reducing obesity among those of low socio-economic position.

How can socio-economic differences in physical activity among women be explained? A qualitative study

This qualitative study investigated why women of low socio-economic status (SES) are less physically active than women of higher-SES. Semi-structured interviews were conducted with 19 high-, 19 mid- and 18 low-SES women. A social-ecological framework, taking into account intrapersonal, social and environmental level influences, was adopted to guide the development of interview questions and interpretation of data. Thematic analysis identified a number of key influences on physical activity that varied by SES. These included negative early life/family physical activity experiences (a consistent theme among those of low-/mid-SES); participation in a wider range of physical activities in leisure time (high-SES); greater priority given to television viewing (low-SES); lack of time due to work commitments (low-SES); lack of time due to family commitments (high-SES); and neighbourhood-level barriers (low-SES). Financial costs were not perceived as a key barrier by women in any SES group. Public health strategies aimed at reducing SES

Socio-economic inequalities in women`s fruit and vegetable intakes: a multilevel study of individual, social and environmental mediators

Objective: This study employed a multilevel design to test the contribution of individual, social and environmental factors to mediating socio-economic status (SES) inequalities in fruit and vegetable consumption among women. Design: A cross-sectional survey was linked with objective environmental data. Setting: A community sample involving 45 neighbourhoods. Subjects: In total, 1347 women from 45 neighbourhoods provided survey data on their SES (highest education level), nutrition knowledge, health considerations related to food purchasing, and social support for healthy eating. These data were linked with objective environmental data on the density of supermarkets and fruit and vegetable outlets in local neighbourhoods. Results: Multilevel modelling showed that individual and social factors partly mediated, but did not completely explain, SES variations in fruit and vegetable consumption. Store density did not mediate the relationship of SES with fruit or vegetable consumption. Conclusions: Nutrition promotion interventions should focus on enhancing nutrition knowledge and health considerations underlying food purchasing in order to promote healthy eating, particularly among those who are socio-economically disadvantaged. Further investigation is required to identify additional potential mediators of SES–diet relationships, particularly at the environmental level.

Fighting the digital divide with microfinance : building social capital and socio-economic development

Unlike other technology, lCT has the tremendous capacity to eliminate various social and economic barriers impeding the poor, helping them discover their potential. Wider access and use of lCT can improve social networks and increase civic engagement, thereby improving social fabric and developing social capital. Thus, scholars now have realized lCT plays a primary role in the formation and maintenance of social network. This paper identifies microfinance programs as an agent with unparalleled capacity to facilitate access to lCT and thus the formation of social capital and socio-economic development of the poor. In this paper, we also discuss the role of MFls in developing social capital in
South Asia and present an analytical model of how the intervention of microfinance can facilitate access to lCT by the poor with the result of an improved both socio-economic situation and social capital.

Roles of MFI support of ICTs to aid socio-economic development

Today there is a consensus on the use of Information and Communication Technologies (ICTs) for development and ICTs are widely recognized as vital tools to promote various social goals. These collections of technologies ICTs have also enabled and smoothed an avenue for monumental tran formation in the process of socio-economic development in developing countries. In this paper, we discuss two major areas in the development arena associated with socio-economic development in South Asia, namely, the role of Microfinance in expansion of ICT in the region and its effects on development and poverty alleviatiori. We put forward the argument that through the intervention of microfinance, ICT can both directly and indirectly impact on growth and the way in which the adoption of ICT can be distributed to the poor.

Investigating socio-economic status and chronic illness: directions and dilemmas

In Australia, chronic illness is increasing being recognised as more important. Yet there is relatively little discussion of the nature of the role played by socio-economic status (SES) plays in its prevalence. This paper argues there are two effects of SES. The first is that lower SES can lead to an increase in chronic illness, as evidenced by a number of epidemiological studies. The second is that chronic illness can contribute to lower SES. Examples are provided of the different types of relationships. Difficulties associated with SES analyses and its relationship to chronic illness are discussed, and specific conditions such as HIV/AIDS are referred to as examples. In addition the work of Marmot on SES and chronic illness is drawn on. The authors identify a number of areas that require further research, and recommend that in studies of chronic illness, SES may be a contributing variable, and outcome, or both.

Mental health promotion and socio-economic disadvantage: lessons from substance abuse, violence and crime prevention and child health

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.

The measurement of socio-economic status: investigation of gender-and age-specific indicators in Australia: national health survey 1995

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.

Which aspects of socio-economic status are related to health in mid-aged and older women?

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.