[Validation of reported location of solid waste using Procrustes analysis in the context of a participatory community initiative]. / Validación del auto-reporte de la localización de residuos sólidos con análisis de Procusto en el contexto de una iniciativa comunitaria participativa.

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.

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

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.

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.

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.

The association between body shape silhouette and dietary pattern among Mexican women.

OBJECTIVE: To investigate the relationship between dietary patterns and self-perceived body shape silhouette and BMI in a sample of Mexican women. DESIGN: A cross-sectional analysis of dietary habits from baseline data of a large cohort study (EsMaestra) conducted in 2006-2008. SETTING: The state of Veracruz, Mexico. SUBJECTS: Mexican teachers (n 20 330) provided information on body shape silhouette at baseline, changes in body shape silhouette and BMI, as well as information on sociodemographic variables and lifestyle. RESULTS: The median BMI was 26·8 kg/m2; 43 % of women were overweight and 24 % were obese. The carbohydrates, sweet drinks and refined foods pattern was associated with a greater risk of having a large silhouette and a large BMI (BMI ≥ 30·0 kg/m2 v. BMI < 25·0 kg/m2; ORT1-3 = 1·86, 95 % CI 1·56, 2·22 and 1·47, 95 % CI 1·28, 1·69, respectively) with a significant trend when comparing the first and third tertiles of intake. The fruit and vegetable pattern was associated with a lower risk of having a large silhouette and a large BMI (ORT1-3 = 0·68, 95 % CI 0·57, 0·82 and ORT1-3 = 0·77, 95 % CI 0·67, 0·88, respectively) with a significant decreasing trend. Similar results were observed when change in silhouette (from 18 years of age to current silhouette) was considered. CONCLUSIONS: High intakes of carbohydrates, sweet drinks and refined foods are related to larger silhouettes. Public health intervention improving access to healthy dietary guidelines, healthy food choice in the work place, promotion of physical activity and regulation of beverages with a high sugar content and of refined foods should be considered.