993 resultados para Social disadvantage


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Aims: This study assessed the efficacy of a school-based healthy lifestyle intervention (Sport for LIFE) for increasing physical activity, decreasing sedentary behaviour, reducing screen time behaviour, encouraging healthy attitudes and behaviour to nutrition, and reducing body mass index (BMI) in 8–9-year-old primary school children from lower socioeconomic backgrounds in Northern Ireland.

Methods: A non-randomised controlled trial of 416 children from 24 schools took part. Schools were randomly assigned to one of two groups, an intervention or control group with 12 schools in each group. The intervention group received a 12-week school-based programme based on social cognitive theory. At baseline and follow-up, groups completed questionnaires assessing physical activity, screen time behaviour and dietary patterns. On each occasion anthropometric assessments of height and weight were taken. Physical activity and sedentary behaviour were measured by accelerometry.

Results Significant effects were observed for vigorous, moderate and light activity for the intervention group at follow-up. Sedentary behaviour was significantly reduced for the intervention group but not for the control group. No significant effects of the intervention on BMI, screen time behaviour or attitudes to nutrition, with the exception of non-core foods, were shown.

Conclusions: The programme was effective in increasing physical activity and reducing sedentary behaviour, however no significant changes in screen time behaviour and attitude to nutrition, with the exception of non-core foods, were observed. Future research ideas are offered for tackling low levels of physical activity in children.

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Objective: To estimate variation between small areas in adult body mass index (BMI), and assess the importance of area level socioeconomic disadvantage in predicting BMI.

Methods: We identified all census collector districts (CCDs) in the 20 innermost Local Government Areas in metropolitan Melbourne, Australia, and ranked them by the percentage of low income households (<$400/week). In all, 50 CCDs were randomly selected from the least, middle and most disadvantaged septiles of the ranked list and 4913 residents (61.4% participation rate) completed one of two surveys. Multilevel linear regression was used to estimate area level variance in BMI and the importance of area level socioeconomic disadvantage in predicting BMI.

Results: There were significant variations in BMI between CCDs for women, even after adjustment for individual and area SES (P=0.012); significant area variation was not found for men. Living in the most versus least disadvantaged areas was associated with an average difference in BMI of 1.08 kg/m2 (95% CI: 0.48–1.68 kg/m2) for women, and of 0.93 kg/m2 (95% CI: 0.32–1.55 kg/m2) for men. Living in the mid versus least disadvantaged areas were associated with an average difference in BMI of 0.67 kg/m2 (95% CI: 0.09–1.26 kg/m2) for women, and 0.43 kg/m2 for men (95% CI: -0.16–1.01).

Conclusion:
These findings suggest that area disadvantage is an important predictor of adult BMI, and support the need to focus on improving local environments to reduce socioeconomic inequalities in overweight and obesity.


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Objective: To determine whether nutrition interventions widen dietary inequalities across socioeconomic status groups.

Design: Systematic review of interventions that aim to promote healthy eating.

Data sources: CINAHL and MEDLINE were searched between 1990 and 2007.

Review methods: Studies were included if they were randomised controlled trials or concurrent controlled trials of interventions to promote healthy eating delivered at a group level to low socioeconomic status groups or studies where it was possible to disaggregate data by socioeconomic status.

Results: Six studies met the inclusion criteria. Four were set in educational setting (three elementary schools, one vocational training). The first found greater increases in fruit and vegetable consumption in children from high-income families after 1 year (mean difference 2.4 portions per day, p<0.0001) than in children in low-income families (mean difference 1.3 portions per day, p<0.0003). The second did not report effect sizes but reported the nutrition intervention to be less effective in disadvantaged areas (p<0.01). The third found that 24-h fruit juice and vegetable consumption increased more in children born outside the Netherlands ("non-native") after a nutrition intervention (beta coefficient = 1.30, p<0.01) than in "native" children (beta coefficient = 0.24, p<0.05). The vocational training study found that the group with better educated participants achieved 34% of dietary goals compared with the group who had more non-US born and non-English speakers, which achieved 60% of dietary goals. Two studies were conducted in primary care settings. The first found that, as a result of the intervention, the difference in consumption of added fat between the intervention and the control group was –8.9 g/day for blacks and –12.0 g/day for whites (p<0.05). In the second study, there was greater attrition among the ethnic minority participants than among the white participants (p<0.04).

Conclusions: Nutrition interventions have differential effects by socioeconomic status, although in this review we found only limited evidence that nutrition interventions widen dietary inequalities. Due to small numbers of included studies, the possibility that nutrition interventions widen inequalities cannot be excluded. This needs to be considered when formulating public health policy.

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Summary The relationship between social disadvantage and bone mineral density (BMD) is complex and remains unclear; furthermore, little is known of the relationship with vertebral deformities. We observed social disadvantage to be associated with BMD for females, independent of body mass index (BMI). A lower prevalence of vertebral deformities was observed for disadvantaged males.

Introduction The relationship between social disadvantage and BMD appears complex and remains unclear, and little is known about the association between social disadvantage and vertebral wedge deformities. We examined the relationship between social disadvantage, BMD and wedge deformities in older adults from the Tasmanian Older Adult Cohort.

Methods BMD and wedge deformities were measured by dual-energy X-ray absorptiometry and associations with extreme social disadvantage was examined in 1,074 randomly recruited population-based adults (51 % female). Socioeconomic status was assessed by Socio-economic Indexes for Areas values derived from residential addresses using Australian Bureau of Statistics 2001 census data. Lifestyle variables were collected by self-report. Regression models were adjusted for age, BMI, dietary calcium, serum vitamin D (25(OH)D), smoking, alcohol, physical inactivity, calcium/vitamin D supplements, glucocorticoids and hormone therapy (females only).

Results Compared with other males, socially disadvantaged males were older (65.9 years versus 61.9 years, p = 0.008) and consumed lower dietary calcium and alcohol (both p ≤ 0.03). Socially disadvantaged females had greater BMI (29.9 ± 5.9 versus 27.6 ± 5.3, p = 0.002) and consumed less alcohol (p = 0.003) compared with other females. Socially disadvantaged males had fewer wedge deformities compared with other males (33.3 % versus 45.4 %, p = 0.05). After adjustment, social disadvantage was negatively associated with hip BMD for females (p = 0.02), but not for males (p = 0.70), and showed a trend for fewer wedge deformities for males (p = 0.06) but no association for females (p = 0.85).

Conclusions Social disadvantage appears to be associated with BMD for females, independent of BMI and other osteoporosis risk factors. A lower prevalence of vertebral deformities was observed for males of extreme social disadvantage. Further research is required to elucidate potential mechanisms for these associations.

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AIMS:
To determine the barriers to and enablers of engaging with specialist diabetes care and the service requirements of young adults with Type 1 diabetes mellitus from a low socio-economic, multicultural region.

METHODS:
A cross-sectional survey targeted 357 young adults with Type 1 diabetes, aged 18-30 years. Participants completed questions about barriers/enablers to accessing diabetes care and service preferences, self-reported HbA(1c), plus measures of diabetes-related distress (Problem Areas in Diabetes), depression/anxiety (Hospital Anxiety and Depression Scale), and illness perceptions (Brief Illness Perceptions Questionnaire).

RESULTS:
Eighty-six (24%) responses were received [55 (64%) female; mean ± sd age 24 ± 4 years; diabetes duration 12 ± 7 years; HbA(1c) 68 ± 16 mmol/mol (8.4 ± 1.5%)]. Logistical barriers to attending diabetes care were reported; for example, time constraints (30%), transportation (26%) and cost (21%). However, 'a previous unsatisfactory diabetes health experience' was cited as a barrier by 27%. Enablers were largely matched to overcoming these barriers. Over 90% preferred a multidisciplinary team environment, close to home, with after-hours appointment times. Forty per cent reported severe diabetes-related distress, 19% reported moderate-to-severe depressive symptoms and 50% reported moderate-to-severe anxiety.

CONCLUSIONS:
Among these young adults with Type 1 diabetes, glycaemic control was suboptimal and emotional distress common. They had identifiable logistical barriers to accessing and maintaining contact with diabetes care services, which can be addressed with flexible service provision. A substantial minority were discouraged by previous unsatisfactory experiences, suggesting health providers need to improve their interactions with young adults. This research will inform the design of life-stage-appropriate diabetes services targeting optimal engagement, access, attendance and ultimately improved healthcare outcomes in this vulnerable population.

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Objective To examine associations between indicators of social disadvantage and emotional and behavioral difficulties in children aged 4-7 years. Study design This cross-sectional study was based on data collected in a questionnaire completed by parents of children enrolled in their first year of school in Victoria, Australia, in 2010. Just over 57 000 children participated (86% of children enrolled), of whom complete data were available for 38 955 (68% of the dataset); these children formed the analysis sample. The outcome measure was emotional and behavioral difficulties, assessed by the Strengths and Difficulties Questionnaire Total Difficulties score. Logistic regression analyses were undertaken. Results Having a concession card (a government-issued card enabling access to subsidized goods and services, particularly in relation to medical care, primarily for economically vulnerable households) was the strongest predictor of emotional and behavioral difficulties (OR, 2.71; 95% CI, 2.39-3.07), followed by living with 1 parent and the parent's partner or not living with either parent (OR, 1.93; 95% CI, 1.58-2.37) and having a mother who did not complete high school (OR, 1.27; 95% CI, 1.11-1.45). Conclusion These findings may assist schools and early childhood practitioners in identifying young children who are at increased risk of emotional and behavioral difficulties, to provide these children, together with their parents and families, with support from appropriate preventive interventions.

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The election of a national Labor Government in 2007 saw ‘social inclusion’ emerge as Australia’s overarching social policy agenda. Being ‘included’ has since been defined as being able to ‘have the resources, opportunities and capabilities needed to learn, work, engage and have a voice’. Various researchers have adopted the social inclusion concept to construct a multi-dimensional framework for measuring disadvantage, beyond poverty alleviation. This research program has enabled various forms of statistical modelling based on some agreement about what it means to be ‘included’ in society. At the same time it is acknowledged that social inclusion remains open and contestable and can be used in the name of both progressive and more punitive programs and policies. This ambiguity raises questions about whether the social inclusion framework, as it is presently defined, has the potential to be a progressive and transformative discourse. In this paper we examine whether the Australian social inclusion agenda has the capacity to address social inequality in a meaningful way, concluding with a discussion about the need to understand social inequality and social disadvantage in relational terms.

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Background: A range of health outcomes at a population level are related to differences in levels of social disadvantage. Understanding the impact of any such differences in palliative care is important. The aim of this study was to assess, by level of socio-economic disadvantage, referral patterns to specialist palliative care and proximity to inpatient services. Methods: All inpatient and community palliative care services nationally were geocoded (using postcode) to one nationally standardised measure of socio-economic deprivation – Socio-Economic Index for Areas (SEIFA; 2006 census data). Referral to palliative care services and characteristics of referrals were described through data collected routinely at clinical encounters. Inpatient location was measured from each person’s home postcode, and stratified by socio-economic disadvantage. Results: This study covered July – December 2009 with data from 10,064 patients. People from the highest SEIFA group (least disadvantaged) were significantly less likely to be referred to a specialist palliative care service, likely to be referred closer to death and to have more episodes of inpatient care for longer time. Physical proximity of a person’s home to inpatient care showed a gradient with increasing distance by decreasing levels of socio-economic advantage. Conclusion: These data suggest that a simple relationship of low socioeconomic status and poor access to a referral-based specialty such as palliative care does not exist. Different patterns of referral and hence different patterns of care emerge.

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[ESP]En las siguientes páginas pretendemos profundizar en el tratamiento dado a la cuestión del género en los análisis empíricos y teóricos referentes a la pobreza y la exclusión social. Para ello, justificaremos la pertinencia de incorporar la perspectiva de género al análisis de la desventaja social, analizando después las potencialidades y limitaciones de los diferentes enfoques sobre pobreza y exclusión social para estudiar el origen y las dimensiones de la desventaja social femenina. Por último, examinaremos bajo la óptica de género algunas estadísticas sobre pobreza y exclusión social, con el objetivo de mostrar los avances metodológicos presentes en algunas de ellas, y también las posibles líneas de mejora.

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Recent research and policy regarding the advantages of early years provision has focused largely on the enhancement and development of cognitive skills for preschoolers. This study, based in the United Kingdom, focuses on a range of cognitive and social skills and identifies beneficial characteristics of a government pilot scheme for 2-year-olds in areas of social disadvantage. Data were collected from nursery managers and parents across six early years settings using a combination of qualitative and quantitative methods centred around in-depth observational techniques focused on children. Results indicate that in addition to the development of cognitive skills, children showed increased confidence and modes of communication and interaction and that these were associated with the varied activities and routines established within the early years settings. Some variations in terms of frequency and quality of interactions, activities and practice were identified in settings; however, interpersonal support for learning and development was consistent across settings.

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Objective

To review the empirical evidence that exists to support the delivery of the range of psycho-social interventions that have been implemented to improve social and emotional wellbeing (SEWB) in Aboriginal and Torres Strait Islander individuals and communities.

Methods:
A systematic review of the available literature, with relevant evaluations classified using the Maryland Scientific Methods Scale.

Results:
Despite a substantial literature on topics relevant to SEWB being identified, only a small number of program evaluations have been published that meet the criteria for inclusion in a systematic review, making it impossible to articulate what might be considered evidence-based practice in this area. Examples of those programs with the strongest empirical support are outlined.

Conclusions:
The results are discussed in terms of the need to develop key indicators of improvement in SEWB, such that more robust evidence about program outcomes can be gathered. The diversity of the identified programs further suggests the need to develop a broader and over-arching framework from which to approach low levels of SEWB, drawing on the concepts of 'grief and loss' and 'healing' and how high levels of social disadvantage have an impact on service utilisation and outcomes. Implications: From a public health perspective, the pressing need to implement programs that have positive impacts on low levels of social and emotional well-being in Aboriginal and Torres Strait Islander communities in Australia seems clear.

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The authors examined the independent contribution of income to low bone mineral density in women aged 50 years and older. A significant dose–response association was observed between low income and low (bone mineral density) BMD, which was not explained by clinical risk factors or osteoporotic treatment in the year prior.

The association between social disadvantage and osteoporosis is attracting increased attention; however, little is known of the role played by income. We examined associations between income and bone mineral density (BMD) in 51,327 women aged ≥50 years from Manitoba, Canada.