934 resultados para Disadvantage


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Aim
To examine the emotional well-being of severely obese Australians with type 2 diabetes, along with markers of social and economic disadvantage, using the Diabetes MILES – Australia dataset.
Methods
Diabetes MILES – Australia was a national survey of 3338 adults with diabetes that focused on psychosocial issues; 1795 had type 2 diabetes and reported BMI. We extracted data regarding depression (PHQ-9), anxiety (GAD-7), obesity- and diabetes- related comorbidities, and demographics. The severely obese group (SOG) (BMI ≥ 35; median BMI = 41.6) constituted 530 (30%) of the type 2 diabetes respondents and was matched with 530 controls (CG) (BMI < 35; median BMI = 28.2). Within- and between- group trends were examined.
Results
The SOG had higher depression scores (median (IQR) 6.0 (3–12)) than CG (5.0 (2–10)); p < 0.001, and were more likely to report moderate-severe depressive symptoms (37% versus 27%; p < 0.001). The groups did not differ on anxiety. The SOG, compared with the CG, were more likely to live alone (21% versus 17%), receive a disability pension (21% versus 15%), earn ≤$40.000/year (51% versus 41%; all p < 0.05), and were less likely to be employed (46% versus 53%), university or higher educated (17% versus 26%), or have health insurance (50% versus 60%; all p ≤ 0.01). Moderate-severe depression was positively associated with cumulative stressors of severe obesity, socioeconomic disadvantage, and obesity- and diabetes- related comorbidity.
Conclusions
Severely obese people living with type 2 diabetes have cumulative stressors related to health, disability, demographic and socioeconomic factors, and impaired emotional well-being.

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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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This five-volume collection lays out the foundations and nuances of literacy studies. Beginning with the theoretical and epistemological perspectives that have been influential in shaping contemporary approaches in literacy studies, the set further explores new digital literacies, literacy in educational and institutional contexts, and the crucial issues of literacy in relation to social mobility, multilingualism and globalization. With a full introduction to the set and to each volume, researchers will find in this set a comprehensive guide to this crucial area of study.
Chapter 4 in volume 3(Angus, Snyder and Sutherland-Smith) is a research chapter exploring literacy practices and the use of technology in the context of disadvantage. In four contexts it examines the 'digital divide' in home and school literacy and what makes a difference in learning success. 

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Dr Stephens' thesis utilised a novel approach to examine eating habits of socioeconomically disadvantaged adolescents and to identify factors supportive of healthy eating. Several potential targets and strategies were identified that could be considered when designing interventions, particularly the role of parents and the home food environment.

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Children and adolescents mature at different rates such that individuals competing in the same competition may differ in physical and biological maturity despite being of similar chronological age. Whether or not differences translate into on-field performance in competition is relatively unknown. This study investigated the influence of biological maturity on fitness and match running performance in junior Australian football. Eighty-seven under-15 years players were categorised into early (n = 20), average (n = 45) and late (n = 22) maturity groups based on self-reported and anthropometric assessment of biological maturity. Running movements during competition were collected using GPS (5 Hz) technology. Early maturers were heavier and taller than all other boys (P < 0.05), while biological maturity was significantly correlated to 20 m sprint (r = 0.53, P < 0.01). Total distance, high-intensity (>14.4 km · h−1) running distance and number of high-intensity efforts were significantly greater (20.8%, 53.6%, 31.7%, respectively; P < 0.01) in early compared to late maturers. Number of sprints and peak speed in competition were not different. Pubertal development and maturity status partially explained the differences between players in physical size, functional running fitness and match running performance. Late maturing players in this Australian football under-15 age group were at a physical and performance disadvantage to their earlier maturing peers.

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Background:People with disabilities are socio-economically disadvantaged and have poorer health than people without disabilities; however, little is known about the way in which disadvantage is patterned by gender and type of impairment.Objectives:1. To describe whether socio-economic circumstances vary according to type of impairment (sensory and speech, intellectual, physical, psychological and acquired brain injury) 2. To compare levels of socio-economic disadvantage for women and men with the same impairment typeMethods:We used a large population-based disability-focused survey of Australians, analysing data from 33,101 participants aged 25 to 64. Indicators of socio-economic disadvantage included education, income, employment, housing vulnerability, and multiple disadvantage. Stratified by impairment type, we estimated: the population weighted prevalence of socio-economic disadvantage; the relative odds of disadvantage compared to people without disabilities; and the relative odds of disadvantage between women and men.Results:With few exceptions, people with disabilities fared worse for every indicator compared to people without disability; those with intellectual and psychological impairments and acquired brain injuries were most disadvantaged. While overall women with disabilities were more disadvantaged than men, the magnitude of the relative differences was lower than the same comparisons between women and men without disabilities, and there were few differences between women and men with the same impairment types.Conclusions:Crude comparisons between people with and without disabilities obscure how disadvantage is patterned according to impairment type and gender. The results emphasise the need to unpack how gender and disability intersect to shape socio-economic disadvantage.

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This report is the final output of a synthesis examining the nature of locational disadvantage and ways in which governments can intervene to improve the lives of disadvantaged residents in areas of concentrated poverty and disadvantage.The report outlines the synthesis methodology used, then explores the complex and contested concept of locational disadvantage. This is followed by discussion of some interventions used in the US, UK and EU to improve the life chances of residents of disadvantaged areas, leading to conclusions about broad principles for achieving lasting improvements.

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BACKGROUND: Low fruit and vegetable consumption is a risk factor for poor health. Studies have shown consumption varies across neighbourhoods, with lower intakes in disadvantaged neighbourhoods. However, findings are inconsistent, suggesting that socio-spatial inequities in diet could be context-specific, highlighting a need for international comparisons across contexts. This study examined variations in fruit and vegetable consumption among adults from neighbourhoods of varying socioeconomic status (SES) across seven countries (Australia, Canada, Netherlands, New Zealand, Portugal, Scotland, US). METHODS: Data from seven existing studies, identified through literature searches and knowledge of co-authors, which collected measures of both neighbourhood-level SES and fruit and vegetable consumption were used. Logistic regression was used to examine associations between neighbourhood-level SES and binary fruit and vegetable consumption separately, adjusting for neighbourhood clustering and age, gender and education. As much as possible, variables were treated in a consistent manner in the analysis for each study to allow the identification of patterns of association within study and to examine differences in the associations across studies. RESULTS: Adjusted analyses showed evidence of an association between neighbourhood-level SES and fruit consumption in Canada, New Zealand and Scotland, with increased odds of greater fruit intake in higher SES neighbourhoods. In Australia, Canada, New Zealand and Portugal, those residing in higher SES neighbourhoods had increased odds of greater vegetable intake. The other studies showed no evidence of a difference by neighbourhood-level SES. CONCLUSIONS: Acknowledging discrepancies across studies in terms of sampling, measures, and definitions of neighbourhoods, this opportunistic study, which treated data in a consistent manner, suggests that associations between diet and neighbourhood-level socioeconomic status vary across countries. Neighbourhood socioeconomic disadvantage may differentially impact on access to resources in which produce is available in different countries. Neighbourhood environments have the potential to influence behaviour and further research is required to examine the context in which these associations arise.

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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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In the past years there has been a growing concern in Europe with the drawbacks in youth transition from education to employment and social participation more generally (European Commission (EC) 2001

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In this analysis we connect structural neighborhood conditions to birth outcomes through their intermediate effects on mothers’ perceptions of neighborhood danger and their tendency to abuse substances during pregnancy. We hypothesize that neighborhood poverty and racial/ethnic concentration combine to produce environments that mothers perceive as unsafe, thereby increasing the likelihood of negative coping behaviors (substance abuse). We expect these behaviors, in turn, to produce lower birth weights. Using data from the Fragile Families and Child Wellbeing Study, a survey of a cohort mothers and children born between 1998 and 2000 in large cities in the United States, we find little evidence to suggest that neighborhood circumstances have strong, direct effects on birth weight. Living in a neighborhood with more foreigners had a positive effect on birth weight. To the extent that neighborhood conditions influence birth weight, the effect mainly occurs through an association with perceived neighborhood danger and subsequent negative coping behaviors. Poverty and racial/ethnic concentration increase a mother’s sense that her neighborhood is unsafe. The perception of an unsafe neighborhood, in turn, associates with a greater likelihood of smoking cigarettes and using illegal drugs, and these behaviors have strong and significant effects in reducing birth weight. However, demographic characteristics, rather than perceived danger or substance abuse, mediate the influence of neighborhood characteristics on birth weight.

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Purpose. No Child Left Behind aimed to "improve the academic achievement of the disadvantaged." The primary research question considered how academic achievement of those from economic disadvantage compared to those not from disadvantage? ^ Economically disadvantaged students can potentially have added academic disadvantage. Research shows low academic achievement can potentially result in drug abuse, youth violence, and teen pregnancy. ^ Methods. To compare the student populations, measures included TAKS results and academic indicator data collected by the Texas Education Agency. ^ Results. T-test analyses showed a significant difference between the economically and non-economically disadvantaged student populations in meeting the TAKS passing standard, graduation, and preparation for higher education.^ Conclusions. The achievement gap between students remained as indicated by the Texas testing program. More research and time are needed to observe if the desired impact on those from economic disadvantage will be reflected by academic achievement data.^