755 resultados para Social inequalities in health
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On October 20th, 2010, CARDI hosted an event entitled��'Inequalities in old age - old news or new debate?’. The event marked the launch of a CARDI funded research report Inequalities in Old Age: the impact of the recession on older people in Ireland, North and South��and the launch of a discussion paper prepared for CARDI by Dr. Maria Pierce and Dr.��Virpi Timonen, Trinity College Dublin��Theories of Ageing and Approaches to Welfare in Ireland, North and South [summary]. The event also featured a number of other presentations. Please find a selection of the presentations from the day below:Theories of Ageing: Lenses for Understanding, Signposts for Reforming Social Protection in Old Age by Dr Virpi Timonen, Director of SPARC and Dr Maria Pierce, Research Fellow, Trinity College Dublin.Inequalities, Pensions and the Recession by Prof Paddy Hillyard, Queen’s University Belfast and Dr Demi Patsios, Policy Research Consultant, Dr Francesca Lundstr̦m, Research Consultant.Pensions and Older Women by Dr Aine N�_ L̩ime, Programme Co-ordinator, ICSG (Irish Centre for Social Gerontology), NUI Galway.����
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Being objectively low income leads to poor health and a shorter life. But poverty can also be a matter of subjectively feeling poor. WZB economist Maja Adena and her colleague Michal Myck (DIW Berlin and the Center for Economic Analysis, CenEA, Szczecin) have substantiated how the subjective assessment of being poor affects the health of the 50+ age group. Read more here.
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Northern Ireland’s labour market and poverty rates have deteriorated in the last five years, in addition to longstanding issues of mental health and community divisions – and welfare reforms are likely to exacerbate these problems.��New research��by the New Policy Institute for JRF brings together the latest data to show the extent and nature of poverty in Northern Ireland (NI), focusing on the links between poverty, work, disability and age. It finds that:��•��between 2006/07 and 2011/12 the average (median) income in NI fell by almost 10 per cent compared with 7 per cent for the UK as a whole;��•��the proportion of unemployed working-age people in NI almost doubled between 2007/08 and 2012/13 to reach 5.8 per cent. Growth in the proportion working part-time and wanting full-time work has been greater – up from 1.7 per cent, the same as in Great Britain (GB), to 4.4 per cent (compared with 3.5 per cent in GB);��•��the proportion of pensioners in poverty in NI fell from 19 per cent to 16 per cent in the five years to 2011/12. The poverty rate rose over this period for working-age adults and children;��•��in the five years to 2011/12, the poverty rate among adults aged 16 to 29 rose by 8 percentage points to reach 26 per cent. Poverty has also increased among those aged 30 to 59, solely among those in working families.��For more information about this research and forthcoming work, please contact Aleks Collingwood, programme manager:��Aleks.Collingwood@jrf.org.uk
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A report published in 2002, Monitoring the State of the East Midlands. Sustainable Development Objectives and Targets for the East Midlands. Health Indicators, proposed a set of seven high-level health indicators for monitoring health status and health inequalities in the Region. The report also proposed a number of health improvement and health inequality reduction targets drawn from key national and regional strategy documents including Saving Lives: Our Healthier Nation and The East Midlands Integrated Regional Strategy. These relate to: - Life expectancy at birth. - Teenage pregnancy rate. - Mortality rate from circulatory disease in people aged under 75. - Mortality rate from cancer in people aged under 75. - Mortality rate from accidents in people of all ages. - Suicide rate in people of all ages. - Prevalence of cigarette smoking in people aged 16 and over. Progress towards these targets will indicate that the twin aims of the regional public health strategy Investment for Health - to improve health and to reduce health inequalities - are being achieved. This report updates these indicators with the latest available data. At the time of writing, data were available for years up to and including 2003 for most indicators. Please note that the latest data are provisional at this stage.
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This report reviews various measures of deprivation in order to be able to monitor socio-economic inequalities in cancer incidence, survival and service provision in the future.
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Links to data sources and methods as used in the production of erpho's 2008 Health Inequalities Profiles. This year's profiles cover the same indicators as previous profiles. Changes since last year:> A fifth time period: 2005-07> Updated populations > IMD 2007> Standardised against European Standard Population> Added comparator area 'All but most deprived' (80/20)
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This is the very first Health Inequality Strategy to be published for public consultation by the London Mayor. As such it represents a momentous step forward in galvanising action across London to address the health inequalities which prevent many Londoners from enjoying their life to the full and making the most of what London has to offer. The Greater London Authority Act 2007 requires that the strategy identifies the health inequalities, the priorities for reducing them and the role to be played by a defined list of key partners in order to implement the strategy. It defines health inequalities as inequalities in respect of life expectancy or general state of health which are wholly or partly a result of differences in respect of general health determinants۪, which it describes as: (a) standards of housing, transport services or public safety; (b) employment prospects, earning capacity and any other matters that affect levels of prosperity; (c) the degree of ease or difficulty with which persons have access to public services; (d) the use, or level of use, of tobacco, alcohol or other substances, and any other matters of personal behaviour or lifestyle, that are or may be harmful to health, and any other matters that are determinants of life expectancy or the state of health of persons generally, other than genetic or biological factors.
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This is a summary of the main report that provides a comprehensive regional analysis of inequalities in health and health care between ethnic groups in England, and also examines workforce data by ethnic group.
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This report highlights the pattern of inequality in diabetes prevalence in relation to age, deprivation and ethnic group. It also highlights the distribution of obesity in relation to these factors. Obesity is one of the main risk factors for Type 2 diabetes and therefore the pattern of obesity may contribute to inequalities in diabetes prevalence.
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Public health services in Ireland, North and South, are committed to addressing inequalities in health on the island of Ireland. This report, prepared by Dr Lorraine Doherty, Assistant Director of Public Health (Health Protection), Public Health Agency NI for the Institute of Public Health in Ireland (IPH), specifically highlights health inequalities in relation to infectious diseases and other areas of health protection such as chemical hazards and environmental disruption. Infectious diseases disproportionately affect the most vulnerable in society. These vulnerable groups bear the highest burden of disease in relation to infectious diseases. The report also highlights the impact of climate change on health protection and the impacts for water, food and vector borne diseases. The aim of this report is to enable a programme of work to begin to document health protection inequalities and develop action plans for addressing them on an all island basis.
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Background Intra-urban inequalities in mortality have been infrequently analysed in European contexts. The aim of the present study was to analyse patterns of cancer mortality and their relationship with socioeconomic deprivation in small areas in 11 Spanish cities. Methods It is a cross-sectional ecological design using mortality data (years 1996-2003). Units of analysis were the census tracts. A deprivation index was calculated for each census tract. In order to control the variability in estimating the risk of dying we used Bayesian models. We present the RR of the census tract with the highest deprivation vs. the census tract with the lowest deprivation. Results In the case of men, socioeconomic inequalities are observed in total cancer mortality in all cities, except in Castellon, Cordoba and Vigo, while Barcelona (RR = 1.53 95%CI 1.42-1.67), Madrid (RR = 1.57 95%CI 1.49-1.65) and Seville (RR = 1.53 95%CI 1.36-1.74) present the greatest inequalities. In general Barcelona and Madrid, present inequalities for most types of cancer. Among women for total cancer mortality, inequalities have only been found in Barcelona and Zaragoza. The excess number of cancer deaths due to socioeconomic deprivation was 16,413 for men and 1,142 for women. Conclusion This study has analysed inequalities in cancer mortality in small areas of cities in Spain, not only relating this mortality with socioeconomic deprivation, but also calculating the excess mortality which may be attributed to such deprivation. This knowledge is particularly useful to determine which geographical areas in each city need intersectorial policies in order to promote a healthy environment.
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BACKGROUND: International comparisons of social inequalities in alcohol use have not been extensively investigated. The purpose of this study was to examine the relationship of country-level characteristics and individual socio-economic status (SES) on individual alcohol consumption in 33 countries. METHODS: Data on 101,525 men and women collected by cross-sectional surveys in 33 countries of the GENACIS study were used. Individual SES was measured by highest attained educational level. Alcohol use measures included drinking status and monthly risky single occasion drinking (RSOD). The relationship between individuals' education and drinking indicators was examined by meta-analysis. In a second step the individual level data and country data were combined and tested in multilevel models. As country level indicators we used the Purchasing Power Parity of the gross national income, the Gini coefficient and the Gender Gap Index. RESULTS: For both genders and all countries higher individual SES was positively associated with drinking status. Also higher country level SES was associated with higher proportions of drinkers. Lower SES was associated with RSOD among men. Women of higher SES in low income countries were more often RSO drinkers than women of lower SES. The opposite was true in higher income countries. CONCLUSION: For the most part, findings regarding SES and drinking in higher income countries were as expected. However, women of higher SES in low and middle income countries appear at higher risk of engaging in RSOD. This finding should be kept in mind when developing new policy and prevention initiatives.
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Background: The literature shows how gender mandates contribute to differences in exposure and vulnerability to certain health risk factors. This paper presents the results of a study developed in the south of Spain, where research aimed at understanding men from a gender perspective is still limited. Objective: The aim of this paper is to explore the lay perceptions and meanings ascribed to the idea of masculinity, identifying ways in which gender displays are related to health. Design: The study is based on a mixed-methods data collection strategy typical of qualitative research. We performed a qualitative content analysis focused on manifest and latent content. Results: Our analysis showed that the relationship between masculinity and health was mainly defined with regard to behavioural explanations with an evident performative meaning. With regard to issues such as driving, the use of recreational drugs, aggressive behaviour, sexuality, and body image, important connections were established between manhood acts and health outcomes. Different ways of understanding and performing the male identity also emerged from the results. The findings revealed the implications of these aspects in the processes of change in the identity codes of men and women. Conclusions: The study provides insights into how the category ‘man’ is highly dependent on collective practices and performative acts. Consideration of how males perform manhood acts might be required in guidance on the development of programmes and policies aimed at addressing gender inequalities in health in a particular local context.
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BACKGROUND In the last decades the presence of social inequalities in diabetes care has been observed in multiple countries, including Spain. These inequalities have been at least partially attributed to differences in diabetes self-management behaviours. Communication problems during medical consultations occur more frequently to patients with a lower educational level. The purpose of this cluster randomized trial is to determine whether an intervention implemented in a General Surgery, based in improving patient-provider communication, results in a better diabetes self-management in patients with lower educational level. A secondary objective is to assess whether telephone reinforcement enhances the effect of such intervention. We report the design and implementation of this on-going study. METHODS/DESIGN The study is being conducted in a General Practice located in a deprived neighbourhood of Granada, Spain. Diabetic patients 18 years old or older with a low educational level and inadequate glycaemic control (HbA1c > 7%) were recruited. General Practitioners (GPs) were randomised to three groups: intervention A, intervention B and control group. GPs allocated to intervention groups A and B received training in communication skills and are providing graphic feedback about glycosylated haemoglobin levels. Patients whose GPs were allocated to group B are additionally receiving telephone reinforcement whereas patients from the control group are receiving usual care. The described interventions are being conducted during 7 consecutive medical visits which are scheduled every three months. The main outcome measure will be HbA1c; blood pressure, lipidemia, body mass index and waist circumference will be considered as secondary outcome measures. Statistical analysis to evaluate the effectiveness of the interventions will include multilevel regression analysis with three hierarchical levels: medical visit level, patient level and GP level. DISCUSSION The results of this study will provide new knowledge about possible strategies to promote a better diabetes self-management in a particularly vulnerable group. If effective, this low cost intervention will have the potential to be easily incorporated into routine clinical practice, contributing to decrease health inequalities in diabetic patients. TRIAL REGISTRATION Clinical Trials U.S. National Institutes of Health, NCT01849731.