15 resultados para Socioeconomic Characteristics.

em Deakin Research Online - Australia


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Background It has been suggested that those with lower socioeconomic characteristics would be more likely to seek energy-dense food options such as fast food because of cheaper prices; however, to date the evidence has been inconsistent. This study examines both individual- and area-level socioeconomic characteristics and their independent associations with chain-brand fast food purchasing.

Methods Data from the 2003 Victorian Lifestyle and Neighbourhood Environments Study (VicLANES); a multilevel study of 2547 adults from 49 small-areas in Melbourne, Australia, were used. Multilevel multinomial models adjusted for confounders were used to assess associations between individual socioeconomic position (education, occupation and income) and area socioeconomic characteristics in relation to fast food purchasing from five major fast food chains with outcome categories: never, at least monthly and at least weekly. The study finally assessed whether any potential area-level associations were mediated by fast food access.

Results
Increased fast food purchasing was independently associated with lower education, being a blue-collar employee and decreased household income. Results for area-level disadvantage were marginally insignificant after adjustment for individual-level characteristics, although they were suggestive that living in an area with greater levels of disadvantage increased an individual's odds of more frequent fast food purchasing. This effect was further attenuated when measures of fast food restaurant access were included in the models.

Conclusion Independent effects of lower individual-level socioeconomic characteristics and more frequent fast food purchasing for home consumption are demonstrated. Although evidence was suggestive of an independent association with area-level disadvantage this did not reach statistical significance.

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Introduction Improving infrastructure to support walking and cycling is often regarded as fundamental to encouraging their widespread uptake. However, there is little evidence that specific provision of this kind has led to a significant increase in walking or cycling in practice, let alone wider impacts such as changes in overall physical activity or carbon emissions. Connect2 is a major new project that aims to promote walking and cycling in the UK by improving local pedestrian and cycle routes. It therefore provides a useful opportunity to contribute new evidence in this field by means of a natural experimental study.

Methods and analysis iConnect is an independent study that aims to integrate the perspectives of public health and transport research on the measurement and evaluation of the travel, physical activity and carbon impacts of the Connect2 programme. In this paper, the authors report the study design and methods for the iConnect core module. This comprised a cohort study of residents living within 5 km of three case study Connect2 projects in Cardiff, Kenilworth and Southampton, supported by a programme of qualitative interviews with key informants about the projects. Participants were asked to complete postal questionnaires, repeated before and after the opening of the new infrastructure, which collected data on demographic and socioeconomic characteristics, travel, car fuel purchasing and physical activity, and potential psychosocial and environmental correlates and mediators of those behaviours. In the absence of suitable no-intervention control groups, the study design drew on heterogeneity in exposure both within and between case study samples to provide for a counterfactual.

Ethics and dissemination The study was approved by the University of Southampton Research Ethics Committee. The findings will be disseminated through academic presentations, peer-reviewed publications and the study website (http://www.iconnect.ac.uk) and by means of a national seminar at the end of the study.

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A number of studies have explored the relationship between socioeconomic status (SES) and mortality, although these have mostly been based on the working age population, despite the fact that the burden of mortality is highest in older people. Using Poisson regression on linked New Zealand census and mortality data (2001 to 2004, 1.3 million person years) with a comprehensive set of socioeconomic indicators (education, income, car access, housing tenure, neighourhood deprivation) we examined the association of socioeconomic characteristics and older adult mortality (65+ years) in New Zealand. We found that socioeconomic mortality gradients persist into old age. Substantial relative risks of mortality were observed for all socioeconomic factors, except housing tenure. Most relative risk associations decreased in strength with aging (e.g. most deprived compared to least deprived rate ratio for males reducing from 1.40 (95% CI 1.28 to 1.53) for 65-74 year olds to 1.13 (1.00 to 1.28) for 85+ year olds), except for income and education among women where the rate ratios changed little with increasing age. This suggests individual level measures of SES are more closely related to mortality in older women than older men. Comparing across genders, the only statistically significantly different association between men and women was for a weaker association for women for car access.

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In this paper, an attempt is made to identify the socioeconomic characteristics of a community that influence the development and management of culture-based fisheries in village reservoirs of Sri Lanka. Socioeconomic data were collected from 46 agricultural farming communities associated with 47 village reservoirs in Sri Lanka. Principal component analysis indicated that scores of the first principal component were positively influenced by socioeconomic characteristics that are favorable for making collective decisions. These included leadership of the officers, age of the group, percentage of active members of the group, percentage of kinship of the group, percentage of common interest of the group, and percentage of participation of the group. The size of the group had a negative effect on the first principal component. The principal component scores of communities were positively related to willingness to pay (P < 0.001). The communities with socioeconomic characteristics favoring collective decision making were in favor of culture-based fisheries. Homogeneity of group characteristics facilitated successful development of culture-based fisheries.

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BACKGROUND: It is well established that maternal age at childbirth has implications for women's mental health in the short term, however there has been little research regarding longer term implications and whether this association has changed over time. We investigated longer term mental health consequences for young mothers in Australia and contrasted the effects between three birth cohorts. METHODS: Using thirteen waves of data from 4262 women aged 40 years or above participating in the Household, Income and Labour Dynamics in Australia Survey, we compared the mental health of women who had their first child aged 15-19 years, 20-24 years, and 25 years and older. Mental health was measured using the mental health component summary score of the SF-36. We used random-effects linear regression models to generate estimates of the association between age at first birth and mental health, adjusted for early life socioeconomic characteristics (country of birth, parents' employment status and occupation) and later life socioeconomic characteristics (education, employment, income, housing tenure, relationship status and social support). We examined whether the association changed over time, testing for effect modification across three successive birth cohorts. RESULTS: In models adjusted for early life and later life socioeconomic characteristics, there was strong evidence of an association between teenage births and poor mental health, with mental health scores on average 2.76 to 3.96 points lower for mothers aged younger than 20 years than for mothers aged 25 years and older (Late Baby Boom (born 1936-1945): -3.96, 95% CI -5.38, -2.54; Early Baby Boom (born 1946-1955): -3.01, 95% CI -4.32, -1.69; Lucky Few (born 1956-1965): -2.76, 95% CI -4.34, -1.18), and evidence of an association for mothers aged 20-24 years compared to mothers aged 25 years and older in the most recent birth cohort only (-1.09, 95% CI -2.01, -0.17). There was some indication (though weak) that the association increased in more recent cohorts. CONCLUSION: This study highlights that young mothers, and particularly teenage mothers, are a vulnerable group at high risk of poor mental health outcomes compared to mothers aged 25 years and above, and there was some suggestion (though weak) that the health disparities increased over time.

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OBJECTIVES: To (1) quantify levels of subjective health literacy in people with long-term health conditions (diabetes, cardiovascular disease, chronic obstructive pulmonary disease, musculoskeletal disorders, cancer and mental disorders) and compare these to levels in the general population and (2) examine the association between health literacy, socioeconomic characteristics and comorbidity in each long-term condition group.

DESIGN: Population-based survey in the Central Denmark Region (n=29,473). MAIN

OUTCOME MEASURES: Health literacy was measured using two scales from the Health Literacy Questionnaire (HLQ): (1) Ability to understand health information and (2) Ability to actively engage with healthcare providers.

RESULTS: People with long-term conditions reported more difficulties than the general population in understanding health information and actively engaging with healthcare providers. Wide variation was found between disease groups, with people with cancer having fewer difficulties and people with mental health disorders having more difficulties in actively engaging with healthcare providers than other long-term condition groups. Having more than one long-term condition was associated with more difficulty in engaging with healthcare providers and understanding health information. People with low levels of education had lower health literacy than people with high levels of education.

CONCLUSIONS: Compared with the general population, people with long-term conditions report more difficulties in understanding health information and engaging with healthcare providers. These two dimensions are critical to the provision of patient-centred healthcare and for optimising health outcomes. More effort should be made to respond to the health literacy needs among individuals with long-term conditions, multiple comorbidities and low education levels, to improve health outcomes and to reduce social inequality in health.

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Objective - To identify socio-demographic characteristics of children from socioeconomically disadvantaged neighbourhoods who meet physical activity and screen recommendations.
Method - Children aged 5–12 years (n = 373; 45% boys) were recruited in 2007 from socioeconomically disadvantaged urban and rural areas of Victoria, Australia. Children's physical activity, height and weight were objectively measured. Mothers reported their highest level of education, and proxy-reported their child's usual screen-time. Odds ratios (OR) and 95% confidence intervals (95% CI) examined odds of meeting physical activity (> 60 minutes/day) and screen (≤ 120 minutes/day) recommendations according to socio-demographic characteristics.
Results - Approximately 84% of children met physical activity and 43% met screen recommendations. Age was inversely associated with odds of meeting physical activity and screen recommendations, and overweight/obese status was associated with lower odds of meeting screen recommendations (boys: OR = 0.39, 95%CI = 0.16–0.95; girls: OR = 0.47, 95%CI = 0.26–0.83). Among boys, living in a rural area was positively associated with meeting screen recommendations (OR = 3.08, 95%CI = 1.42–6.64). Among girls, high levels of maternal education were positively associated with meeting screen recommendations (OR = 2.76, 95%CI = 1.33–5.75).
Conclusion - Specific socio-demographic characteristics were associated with odds of meeting physical activity and screen recommendations. Identifying factors associated with such ‘resilience’ among this group may provide important learnings to inform future physical activity promotion initiatives.

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This qualitative study compares experiences of men from low socioeconomic status (SES) communities who achieved sufficient physical activity (PA) with those who did not. The socioecological model of health guided interviews with men (n=25) and community health workers (n=4) to explore individual, interpersonal, organizational, community, environmental and policy influences on PA participation. Men generally reported that they had poor health, financial barriers, were unfamiliar with community PA facilities and programs, had limited social support, and lived in unsafe neighbourhoods. There were clear differences between active and inactive men. Inactive men described their inability to cope with poor health, and consequent perceptions of disconnection. They did not identify positive PA outcomes and seemed consumed by stressful life situations. Active men identified barriers to existing programs such as the exclusive culture of PA facilities. It is important that personal circumstances are understood, and financial and cultural barriers addressed to promote PA among men from low SES communities.

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Objective

We examined the associations of educational attainment and area socioeconomic status (SES) with total within-neighborhood walking patterns and percentage of walking undertaken for recreation purposes in Hong Kong elders. Environmental mediators of these associations were also examined.

Method:
Chinese-speaking elders (N = 484), cognitively unimpaired and able to walk unassisted, were recruited from 32 street blocks stratified by SES and walkability. Interviewer-administered surveys were conducted to collect data on walking and sociodemographics. Neighborhood environments were audited.

Results:
Educational attainment was positively related to walking outcomes, while area SES was only positively related to percentage of walking allocated to recreational purposes. While no mediators of area SES-walking associations were identified, several environmental attributes explained the associations of educational attainment with walking.

Discussion:
Educational attainment rather than area SES is a key determinant of walking in Hong Kong elders; these effects are mostly attributable to social and individual rather than environmental factors.

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Objective: To compare the prevalence of arthritis among population groups based on demographic, socioeconomic, and body mass index (BMI) characteristics; to investigate the combined influence of these factors on arthritis; and to assess the relationship between self-reported health and psychological distress and arthritis.

Methods: Data from the Victorian Population Health Survey (n = 7,500) were used in the study. Psychological distress was assessed using the Kessler Psychological Distress scale, and self-reported health was assessed by a single item. Multiple logistic regression was used to investigate the combined influence of demographic and socioeconomic factors and BMI on arthritis.

Results: Overall, 23% of Victorian adults (20% men and 26% women) reported having arthritis. The presence of arthritis was associated with high psychological distress (odds ratio [OR] 1.2; 95% confidence interval [95% CI] 1.1-1.4) and poor self-reported health (OR 1.9; 95% CI 1.7-2.1). Increased prevalence of arthritis was found in older age groups, lower education and income groups, and in people who were overweight or obese. Women had higher risk of arthritis, even after adjustment for age, residence, education, occupation, income, and BMI. Age and BMI independently predicted arthritis for men and women. For men, higher risk of arthritis was also associated with lower income.

Conclusion: Arthritis is a highly prevalent condition associated with poor health and high psychological distress. Prevalence of arthritis is disproportionately high among women and individuals from lower socioeconomic backgrounds. As the prevalence of arthritis is predicted to increase, careful consideration of causal factors, and setting priorities for resource allocation for the treatment and prevention of arthritis are required.

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OBJECTIVE--To examine the role of area-level socioeconomic status (SES) on the development of abnormal glucose metabolism (AGM) using national, population-based data.

RESEARCH DESIGN AND METHODS--The Australian Diabetes, Obesity and Lifestyle (AusDiab) study is a national, population-based, longitudinal study of adults aged [greater than or equal to] 25 years. A sample of 4,572 people provided complete baseline (1999 to 2000) and 5-year follow-up (2004 to 2005) data relevant for these analyses. Incident AGM was assessed using fasting plasma glucose and 2-h plasma glucose from oral glucose tolerance tests, and demographic, socioeconomic, and behavioral data were collected by interview and questionnaire. Area SES was defined using the Index of Relative Socioeconomic Disadvantage. Generalized linear mixed models were used to examine the relationship between area SES and incident AGM, with adjustment for covariates and correction for cluster design effects.

RESULTS--Area SES predicted the development of AGM, after adjustment for age, sex, and individual SES. People living in areas with the most disadvantage were significantly more likely to develop AGM, compared with those living in the least deprived areas (odds ratio 1.53; 95% CI 1.07-2.18). Health behaviors (in particular, physical activity) and central adiposity appeared to partially mediate this relationship.

CONCLUSIONS--Our findings suggest that characteristics of the physical, social, and economic aspects of local areas influence diabetes risk. Future research should focus on identifying the aspects of local environment that are associated with diabetes risk and how they might be modified.

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Socio-economically disadvantaged (e.g., less educated) women are at a greater risk of depression compared to less disadvantaged women. However, little is known regarding the factors that may explain socioeconomic inequalities in risk of depression. This study aimed to investigate the contribution of perceived neighbourhood factors in mediating the relationship between education and women’s risk of depression. Cross-sectional data were provided by 4,065 women (aged 18–45). Women self-reported their education level, depressive symptoms (CES-D 10), as well as four neighbourhood factors (i.e., interpersonal trust, social cohesion, neighbourhood safety, and aesthetics). Single and multiple mediating analyses were conducted. Clustering by neighbourhood of residence was adjusted by using a robust estimator of variance. Multiple mediating analyses revealed that interpersonal trust was the only neighbourhood characteristic found to partly explain the educational inequalities in women’s depressive symptoms. Social cohesion, neighbourhood aesthetics and safety were not found to mediate this relationship. Acknowledging the cross-sectional nature of this study, findings suggest that strategies to promote interpersonal trust within socioeconomically disadvantaged neighbourhoods may help to reduce the educational inequalities in risk of depression amongst women. Further longitudinal and intervention studies are needed to confirm these findings.

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Background Over the past decade, studies and public health interventions that target the physical environment as an avenue for promoting physical activity have increased in number. While it appears that a supportive physical environment has a role to play in promoting physical activity, social-ecological models emphasise the importance of considering other multiple levels of influence on behaviour, including individual (e.g. self-efficacy, intentions, enjoyment) and social (e.g. social support, access to childcare) factors (psychosocial factors). However, not everyone has these physical activity-promoting psychosocial characteristics; it remains unclear what contribution the environment makes to physical activity among these groups. This study aimed to examine the association between the perceived physical environment and self-reported leisure-time physical activity (LTPA) among women living in socioeconomically disadvantaged areas demonstrating different psychosocial characteristics.

Methods In 2007–8, 3765 women (18–45 years) randomly selected from low socioeconomic areas in Victoria, Australia, self-reported LTPA, and individual, social and physical environmental factors hypothesised within a social-ecological framework to influence LTPA. Psychosocial and environment scores were created. Associations between environment scores and categories of LTPA (overall and stratified by thirds of perceived environment scores) were examined using generalised ordered logistic regression.

Results Women with medium and high perceived environment scores had 20-38% and 44-70% greater odds respectively of achieving higher levels of LTPA than women with low environment scores. When stratified by thirds of psychosocial factor scores, these associations were largely attenuated and mostly became non-significant. However, women with the lowest psychosocial scores but medium or high environment scores had 76% and 58% higher odds respectively of achieving ≥120 minutes/week (vs. <120 minutes/week) LTPA.

Conclusions Acknowledging the cross-sectional study design, the findings suggest that a physical environment perceived to be supportive of physical activity might help women with less favourable psychosocial characteristics achieve moderate amounts of LTPA (i.e. ≥120 minutes/week). This study provides further support for research and public health interventions to target perceptions of the physical environment as a key component of strategies to promote physical activity.

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Whole-of-community (WOC) interventions have led to modest reductions in population weight gain. Whether they exhibit differential effectiveness by socioeconomic position (SEP) remains unknown. We aimed to summarize evidence of differential effectiveness of WOC interventions by SEP. Electronic databases and grey literature were searched to identify studies that evaluated the effectiveness of a WOC intervention on behavioural change measures, energy balance behaviours and/or anthropometric outcomes according to any measure of SEP. Interventions were assessed for the following characteristics: structural changes to the environment, number of settings the intervention acted in, presence of community engagement and whether equity was considered in its design. Ten studies were included. Nine reported a greater or equal effect among low SEP groups compared with high SEP groups. These studies commonly featured interventions that incorporated structural changes to the environment, acted across more than three settings and/or employed community engagement. Conclusions did not change when excluding low-quality studies (n = 4). WOC interventions represent an effective and equitable approach for the reduction of population weight. Structural components, a larger number of settings and community engagement were common in equitable WOC interventions and should be considered in the design of future WOC interventions.

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BACKGROUND: Knowledge about the relationships between micro-scale environmental factors and older adults' walking for transport is limited and inconsistent. This is probably due to methodological limitations, such as absence of an accurate neighborhood definition, lack of environmental heterogeneity, environmental co-variation, and recall bias. Furthermore, most previous studies are observational in nature. We aimed to address these limitations by investigating the effects of manipulating photographs on micro-scale environmental factors on the appeal of a street for older adults' transportation walking. Secondly, we used latent class analysis to examine whether subgroups could be identified that have different environmental preferences for transportation walking. Thirdly, we investigated whether these subgroups differed in socio-demographic, functional and psychosocial characteristics, current level of walking and environmental perceptions of their own street.

METHODS: Data were collected among 1131 Flemish older adults through an online (n = 940) or an interview version of the questionnaire (n = 191). This questionnaire included a choice-based conjoint exercise with manipulated photographs of a street. These manipulated photographs originated from one panoramic photograph of an existing street that was manipulated on nine environmental attributes. Participants chose which of two presented streets they would prefer to walk for transport.

RESULTS: In the total sample, sidewalk evenness had by far the greatest appeal for transportation walking. The other environmental attributes were less important. Four subgroups that differed in their environmental preferences for transportation walking were identified. In the two largest subgroups (representing 86% of the sample) sidewalk evenness was the most important environmental attribute. In the two smaller subgroups (each comprising 7% of the sample), traffic volume and speed limit were the most important environmental attributes for one, and the presence of vegetation and a bench were the most important environmental attributes for the other. This latter subgroup included a higher percentage of service flat residents than the other subgroups.

CONCLUSIONS: Our results suggest that the provision of even sidewalks should be considered a priority when developing environmental interventions aiming to stimulate older adults' transportation walking. Natural experiments are needed to confirm whether our findings can be translated to real environments and actual transportation walking behavior.