982 resultados para Socioeconomic determinants


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STUDY OBJECTIVE: The objective of this study was to investigate the impact of two different socioeconomic status (SES) measures on child and adolescent self reported health related quality of life (HRQoL). The European KIDSCREEN project aims at simultaneous developing, testing, and implementing a generic HRQoL instrument. DESIGN AND SETTING: The pilot version of the questionnaire was applied in school surveys to students from 8 to 18 years of age, as well as to their parents, together with such determinants of health status as two SES indicators, the parental educational status and the number of material goods in the family (FAS, family affluence scale). PARTICIPANTS: Students from seven European countries: 754 children (39.8%; mean: 9.8 years), and 1142 adolescents (60.2 %; mean: 14.1 years), as well as their respective parents. MAIN RESULTS: In children, a higher parental educational status was found to have a significant positive impact on the KIDSCREEN dimensions: physical wellbeing, psychological wellbeing, moods and emotions, bullying and perceived financial resources. Increased risk of low HRQoL was detected for adolescents in connection with their physical wellbeing. Family wealth plays a part for children's physical wellbeing, parent relations and home life, and perceived financial resources. For adolescents, family wealth furthermore predicts HRQoL on all KIDSCREEN dimensions. CONCLUSIONS: There is evidence to suggest that exposure to low parental educational status may result in a decreased HRQoL in childhood, whereas reduced access to material (and thereby social) resources may lead to a lower HRQoL especially in adolescence.

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Background Unlike leisure time physical activity, knowledge of the socioeconomic determinants of active transport is limited, research on this topic has produced mixed and inconsistent findings, and it remains unknown if peoples’ engagement in active transport declines as they age. This longitudinal study examined relationships between neighbourhood disadvantage, individual-level socioeconomic position and walking for transport (WfT) during mid- and early old-age (40 – 70 years). Three questions were addressed: (i) which socioeconomic groups walk for transport, (ii) does the amount of walking change over time as people age, and (iii) is the change socioeconomically patterned? Methods The data come from the HABITAT study of physical activity, a bi-annual multilevel longitudinal survey of 11,036 residents of 200 neighbourhoods in Brisbane, Australia. At each wave (2007, 2009 and 2011) respondents estimated the duration (minutes) of WfT in the previous 7 days. Neighbourhood disadvantage was measured using a census-derived index comprising 17 different socioeconomic components, and individual-level socioeconomic position was measured using education, occupation, and household income. The data were analysed using multilevel mixed-effects logistic and linear regression. Results The odds of being defined as a ‘never walker’ were significantly lower for residents of disadvantaged neighbourhoods, but significantly higher for the less educated, blue collar employees, and members of lower income households. WfT declined significantly over time as people aged and the declines were more precipitous for older persons. Average minutes of WfT declined for all neighbourhoods and most socioeconomic groups; however, the declines were steeper for the retired and members of low income households. Conclusions Designing age-friendly neighbourhoods might slow or delay age-related declines in WfT and should be a priority. Steeper declines in WfT among residents of low income households may reflect their poorer health status and the impact of adverse socioeconomic exposures over the life course. Each of these declines represents a significant challenge to public health advocates, urban designers, and planners in their attempts to keep people active and healthy in their later years of life.

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Studies assume that socioeconomic status determines individuals’ states of health, but how does health determine socioeconomic status? And how does this association vary depending on contextual differences? To answer this question, our study uses an additive Bayesian Networks model to explain the interrelationships between health and socioeconomic determinants using complex and messy data. This model has been used to find the most probable structure in a network to describe the interdependence of these factors in five European welfare state regimes. The advantage of this study is that it offers a specific picture to describe the complex interrelationship between socioeconomic determinants and health, producing a network that is controlled by socio demographic factors such as gender and age. The present work provides a general framework to describe and understand the complex association between socioeconomic determinants and health.

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Objectives: To identify demographic and socioeconomic determinants of need for acute hospital treatment at small area level. To establish whether there is a relation between poverty and use of inpatient services. To devise a risk adjustment formula for distributing public funds for hospital services using, as far as possible, variables that can be updated between censuses. Design: Cross sectional analysis. Spatial interactive modelling was used to quantify the proximity of the population to health service facilities. Two stage weighted least squares regression was used to model use against supply of hospital and community services and a wide range of potential needs drivers including health, socioeconomic census variables, uptake of income support and family credit, and religious denomination. Setting: Northern Ireland. Main outcome measure: Intensity of use of inpatient services. Results: After endogeneity of supply and use was taken into account, a statistical model was produced that predicted use based on five variables: income support, family credit, elderly people living alone, all ages standardised mortality ratio, and low birth weight. The main effect of the formula produced is to move resources from urban to rural areas. Conclusions: This work has produced a population risk adjustment formula for acute hospital treatment in which four of the five variables can be updated annually rather than relying on census derived data. Inclusion of the social security data makes a substantial difference to the model and to the results produced by the formula.

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Double Degree in Economics from the NOVA - School of Business and Economics and Insper

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Through this paper. we have attempted to model the demand for different classes of antibiotics used for respiratory infections in outpatient care in Switzerland using a spatial version of the linear approximate Almost Ideal Demand System (AIDS) model. This model takes spatial dependency into account by means of spatial lags of antibiotic budget shares. We control for the health status of patients and the potential harmful effects of antibiotic use in terms of bacterial resistance. Elasticities to socioeconomic determinants of consumption and own- and cross-price elasticities between different groups of antibiotic have also been computed in this paper. Significant cross-price elasticities are found between newer or more expensive generations and older or less expensive generations of antibiotics. (C) 2009 Elsevier B.V. All rights reserved.

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Objectif: La santé des Indiens inscrits est inférieure à celle des autres Canadiens et dévoile des écarts importants entre les différents groupes qui la composent. La nation crie de l’Iiyiyiu Aschii, signataire de la Convention de la Baie-James et du Nord québécois (CBJNQ), bénéficie à cet égard d’un état de santé supérieur à celui des autres Indiens inscrits. L’objectif de ce mémoire est d’examiner l’impact de la CBJNQ sur les déterminants sociaux et l’état de santé de ses signataires cris depuis son entrée en vigueur en 1977. Méthodologie : Des analyses comparatives entre les Cris de l’Iiyiyiu Aschii, les Indiens inscrits et les Canadiens ont permis de suivre l’évolution à travers le temps des différences socioéconomiques, d’habitudes de vie et d’état de santé de ces groupes. Résultats : Les Cris ont enregistré, comparativement aux autres groupes d’Indiens inscrits vivant sur une réserve, une plus grande amélioration de leurs déterminants socioéconomiques, une progression relativement limitée de leurs comportements à risque et une préservation à un niveau plus élevé de leurs pratiques traditionnelles. Les Cris ont également vu progresser plus rapidement leur espérance de vie à la naissance que les Canadiens, et leur mortalité infantile a connu une chute encore plus importante que celle enregistrée chez les Indiens inscrits sur réserve. Conclusion : La CBJNQ a vraisemblablement eu un impact significatif sur la santé des Cris de l’Iiyiyiu Aschii. Cette amélioration sanitaire s’explique notamment par la Convention qui a su mettre en place des structures politiques qui ont favorisé l’amélioration des déterminants sociaux et le développement de l’autonomie gouvernementale des Cris.

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Le nombre d'unions où les deux conjoints n'ont pas la même langue maternelle est en augmentation depuis les dernières décennies au Québec. Sachant que les enfants issus de ces unions gravitent dans un univers familial plurilingue, l'objectif de ce mémoire est de connaître les langues qui leur sont transmises. En utilisant les données du questionnaire long du recensement canadien de 2006, nous avons procédé à différentes analyses descriptives nous permettant de cerner les langues maternelles véhiculées aux enfants issus d'une union mixte, de vérifier si ces enfants héritent davantage de la langue maternelle de leur mère ou de leur père et s'ils opèrent des substitutions linguistiques avant l'âge de 18 ans, c'est-à-dire si leur langue maternelle diffère de leur langue d'usage. De plus, par le biais de régressions logistiques, nous avons étudié les déterminants contextuel, ethno-culturel et socio-économique les plus susceptibles d'expliquer le choix de la langue transmise aux enfants. Les résultats obtenus démontrent la place prédominante des langues officielles canadiennes, au détriment des langues non officielles, chez les familles exogames. De plus, le choix de la langue maternelle transmise s'avère principalement conditionné par le lieu de résidence, le parcours migratoire des parents et le pays de naissance des enfants.

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Includes bibliography

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Os indicadores sociais se tornaram imprescindíveis no elenco de variáveis dos estudos epidemiológicos a partir da constatação de que a determinação dos agravos à saúde é complexa e multidimensional. Nessa perspectiva, a desigualdade social vem ocupando destaque como um fator explicativo das condições de saúde das populações. O objetivo é discutir as diferentes concepções que norteiam a seleção dos indicadores utilizados nos estudos epidemiológicos e abordar os efeitos psicossociais nos seres humanos acarretados pela desigualdade social. Foi realizada uma revisão da literatura acerca dos estudos epidemiológicos que utilizaram os indicadores de desigualdade social e capital social para uma melhor compreensão dos problemas de saúde, bem como uma investigação no campo da sociologia e da psicologia social. De acordo com a pesquisa pode-se constatar que há controvérsias sobre o efeito da desigualdade social na saúde humana pelo fato desses indicadores serem baseados, majoritariamente, pela renda e capacidade de consumo dos indivíduos. Da mesma forma, os indicadores de capital social em nível cognitivo e estrutural são muito limitados para compreender o dinamismo das relações sociais. Nesse sentido, são necessários mais estudos para a construção de indicadores sociais que contemplem a complexidade das sociedades modernas.

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El objetivo de este trabajo fue analizar la construcción social del conocimiento en Actividad física desde dos planteamientos teóricos de la salud centrando el análisis en la relación con la imagen corporal y las condiciones de vida. Se trata de un estudio teórico desde el análisis de contenido de corte narrativo de 98 artículos desarrollado en cinco etapas a través de: rastreo de documentos en bases de datos en el periodo 2000-2014, revisión de artículos, y análisis y hallazgos de significados, sentidos o contenidos. Como hallazgo importante se puede mencionar que en la literatura científica relacionada con la triada Actividad física-imagen corporal-condiciones de vida predomina la construcción del conocimiento a partir de modelos hegemónicos y dominantes que priorizan la intensidad, la frecuencia y el tiempo dedicado a la AF, la estandarización en la comparación de la apariencia física y la medición de elementos materiales en el modo de vivir de las personas, principalmente desde el abordaje de los determinantes sociales de la salud. Se concluye que es necesario revisar las poblaciones que incluyendo en los estudios al estar concentrados el conocimiento en solo unos grupos; así como se hace explícita la necesidad de revisar cuales son los aportes de la Educación Física y otras disciplinas (ciencias sociales) para una mayor comprensión teórica y práctica de la AF.

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A major priority for cancer control agencies is to reduce geographical inequalities in cancer outcomes. While the poorer breast cancer survival among socioeconomically disadvantaged women is well established, few studies have looked at the independent contribution that area- and individual-level factors make to breast cancer survival. Here we examine relationships between geographic remoteness, area-level socioeconomic disadvantage and breast cancer survival after adjustment for patients’ socio- demographic characteristics and stage at diagnosis. Multilevel logistic regression and Markov chain Monte Carlo simulation were used to analyze 18 568 breast cancer cases extracted from the Queensland Cancer Registry for women aged 30 to 70 years diagnosed between 1997 and 2006 from 478 Statistical Local Areas in Queensland, Australia. Independent of individual-level factors, area-level disadvantage was associated with breast-cancer survival (p=0.032). Compared to women in the least disadvantaged quintile (Quintile 5), women diagnosed while resident in one of the remaining four quintiles had significantly worse survival (OR 1.23, 1.27, 1.30, 1.37 for Quintiles 4, 3, 2 and 1 respectively).) Geographic remoteness was not related to lower survival after multivariable adjustment. There was no evidence that the impact of area-level disadvantage varied by geographic remoteness. At the individual level, Indigenous status, blue collar occupations and advanced disease were important predictors of poorer survival. A woman’s survival after a diagnosis of breast cancer depends on the socio-economic characteristics of the area where she lives, independently of her individual-level characteristics. It is crucial that the underlying reasons for these inequalities be identified to appropriately target policies, resources and effective intervention strategies.