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      Validación del auto-reporte de la localización de residuos sólidos con análisis de Procusto en el contexto de una iniciativa comunitaria participativa Translated title: Validação do auto-relatório na localização de resíduos sólidos com análise de Procusto no contexto de uma iniciativa comunitária participativa Translated title: Validation of reported location of solid waste using Procrustes analysis in the context of a participatory community initiative

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          Abstract

          Este estudio forma parte de una iniciativa comunitaria de manejo integral de residuos, basada en "epidemiología popular" y la investigación acción participativa. En este estudio se propone un método de validación de datos espaciales (ordenadas y abscisas) de residuos sólidos auto-reportados por la comunidad. La ubicación de los sitios fue realizada por 76 residentes de la localidad La Nopalera (Yautepec, Morelos, México), y comparada con los reportados por tres expertos en salud ambiental. La concordancia fue explorada con análisis de Procusto. Los expertos identificaron 23 sitios de concentración de residuos sólidos, mientras que la comunidad ubicó solo 22 sitios. Hubo mínimas diferencias en la localización, escala y orientación. El estadístico de Procusto mostró 95% de concordancia entre legos y expertos. Los hallazgos sugieren que el saber popular es una fuente de información válida en estudios epidemiológicos, y que su error de medición puede ser cuantificado. La sencilla metodología descrita podrá ser usada en futuros estudios de "epidemiología popular" o aproximaciones similares.

          Translated abstract

          O estudo é parte de uma iniciativa comunitária de gerenciamento integral de resíduos sólidos, baseada na "epidemiologia popular" e em uma pesquisa de ação participativa. Aqui está sendo proposto um método de validação de dados espaciais (ordenadas e abscissas) de resíduos sólidos auto-relatados pela comunidade. A localização dos pontos foi realizada por 76 moradores da localidade de La Nopalera (Yautepec, Morelos, México), e comparada com os relatórios de três especialistas em saúde ambiental. A concordância foi explorada com análise de Procusto. Os especialistas identificaram 23 pontos de concentração de resíduos sólidos, ao passo que a comunidade localizou apenas 22. Foram verificadas diferenças mínimas na localização, escala e orientação. A estatística de Procusto mostrou 95% de concordância entre leigos e especialistas. Os resultados sugerem que o conhecimento popular constitui uma fonte de informação válida em estudos epidemiológicos, e que seus erros de medição podem ser quantificados. A metodologia simples descrita poderá ser usada em futuros estudos de "epidemiologia popular" ou aproximações similares.

          Translated abstract

          This study is part of a community initiative for integrated solid waste management based on "popular epidemiology" and participatory action research. The study proposes a method for validation of spatial data (X and Y data) on solid waste reported by community members. Location of sites was conducted by 76 residents of the La Nopalera community (Yautepec, Morelos, Mexico) and compared with reports by three environmental health experts. Agreement was explored using Procrustes analysis. Experts identified 23 sites with abundant solid waste, while community members only identified 22 sites. There were minimal differences in location, scale, and positioning of reported waste. Procrustes statistics showed 95% agreement between community and expert reports. The findings suggest that community knowledge can be a valid source of information in epidemiological studies, and that measurement error can be quantified. The simple methodology described here can be used in further "popular epidemiology" studies or similar approaches.

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          Most cited references23

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          Self-ratings of health: do they also predict change in functional ability?

          Self-ratings of health by individuals responding to surveys have shown themselves to be potent predictors of mortality in a growing number of studies; they appear to contribute significant additional independent information to health status indicators gathered through self-reported health histories or medical examinations. A key question raised by these studies is: What are the mediating processes involved in the association? Specifically, do poor self-ratings increase the risk of disability and morbidity, and are these outcomes intervening steps in the link to mortality? In this report we address the first question, of self-ratings predicting future levels of functional disability, our choice of an index of overall impact of morbidity. Data come from the New Haven Established Populations for Epidemiologic Studies of the Elderly (EPESE) site (N = 2,812). Results show that self-ratings of health in 1982, net of baseline functional ability, health and sociodemographic status, are associated with changes in functional ability over periods of one through six years. These findings extend our understanding of the meaning of excellent, good, fair, and poor ratings of health, and that they have implications not just for survival but for the loss or maintenance of functional ability in daily life.
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            Community based participatory research: a promising approach for increasing epidemiology's relevance in the 21st century.

            Despite the advances of modern epidemiology, the field remains limited in its ability to explain why certain outcomes occur and to generate the kind of findings that can be translated into programmes or policies to improve health. Creating community partnerships such that community representatives participate in the definition of the research problem, interpretation of the data, and application of the findings may help address these concerns. Community based participatory research (CBPR) is a framework epidemiologists can apply to their studies to gain a better understanding of the social context in which disease outcomes occur, while involving community partners in the research process, and insuring that action is part of the research process itself. The utility of CBPR principles has been particularly well demonstrated by environmental epidemiologists who have employed this approach in data gathering on exposure assessment and advancing environmental justice. This article provides examples of how popular epidemiology applies many of CBPR's key principles. At this critical juncture in its history, epidemiology may benefit from further incorporating CBPR, increasing the field's ability to study and understand complex community health problems, insure the policy and practice relevance of findings, and assist in using those findings to help promote structural changes that can improve health and prevent disease.
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              Popular Epidemiology and Toxic Waste Contamination: Lay and Professional Ways of Knowing

              Phil Brown (1992)

                Author and article information

                Journal
                csp
                Cadernos de Saúde Pública
                Cad. Saúde Pública
                Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz (Rio de Janeiro, RJ, Brazil )
                0102-311X
                1678-4464
                January 2013
                : 29
                : 1
                : 195-201
                Article
                S0102-311X2013000500022 S0102-311X(13)02900100022
                49e9d868-5db6-4cb2-9c14-c488cfa4a4b8

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 05 January 2012
                : 03 August 2012
                : 11 September 2012
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 18, Pages: 7
                Product

                SciELO Public Health

                Self URI: Texto completo solamente en formato PDF (ES)

                Ubicaciones Geográficas,Estudos de Validação,Validation Studies,Autoinforme,Estudios de Validación,Localizações Geográficas,Geographic Locations,Auto-Relato,Self Report

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