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Your search keyword '"Indicadores socioeconomicos"' showing total 3 results
Start Over Descriptor "Indicadores socioeconomicos" Publisher elsevier
3 results on '"Indicadores socioeconomicos"'

1. Influência de variáveis socioeconômicas e de saúde materno-infantil sobre os níveis de retinol no colostro humano Retinol levels in human colostrum: influence of child, maternal and socioeconomic variables

Author

Roberto Dimenstein, Janicéia L. Simplício, Karla D. S. Ribeiro, and Illana L. P. Melo

Subjects
Retinol, colostro humano, indicadores socioeconômicos, indicadores de saúde materno-infantil, human colostrum, socio-economic variables, maternal-child health variables, Pediatrics, RJ1-570
Abstract

OBJETIVO: Determinar os níveis de retinol no colostro de lactantes moradoras da cidade de Natal (RN) e sua relação com as variáveis socioeconômicas e de saúde materno-infantil. MÉTODOS: Foram avaliadas 42 nutrizes saudáveis, entre 18 e 39 anos, até 48 horas pós-parto. Foram aplicados questionários para a coleta de dados socioeconômicos, antropométricos e dietéticos. O estado nutricional antropométrico foi determinado pelo índice de massa corpórea e os dados de consumo alimentar em vitamina A foram obtidos pelo inquérito dietético de história alimentar, sendo a análise realizada pelo programa Virtual Nutri. Foram coletados 2 ml de colostro, e a determinação do retinol foi realizada por cromatografia líquida de alta eficiência. RESULTADOS: A maioria das nutrizes apresentou baixa condição socioeconômica e baixo grau de escolaridade. Entre as nutrizes, 55% apresentavam um consumo de vitamina A adequado, com uma média de ingestão de 1.398,8 µgRE/dia. O valor médio de retinol no colostro foi 93,1+51,1 µgRE/100 ml. Quando relacionado aos níveis de retinol no leite, as variáveis renda (p = 0,503), escolaridade (p = 0,708) e peso ao nascer do bebê (p = 0,499) não apresentaram diferenças significativas. Entretanto, houve diferença estatisticamente significativa entre o nível de retinol no leite e o estado nutricional na gestação (p = 0,016). CONCLUSÃO: A não-influência de variações socioeconômicas nos níveis de retinol do colostro sugere a existência de um mecanismo de adaptação da glândula mamária na manutenção dos níveis adequados de retinol para atender às necessidades diárias do lactente.OBJECTIVES: To determine colostrum retinol levels in breastfeeding women from the city of Natal, state of Rio Grande do Norte, Brazil, and to investigate the relationship between retinol levels in colostrum and child, maternal and socioeconomic variables. METHODS: Forty-two healthy women aged 18 to 39 years were evaluated 48 hours after delivery. Socioeconomic, anthropometric, and dietary data were collected by means of a questionnaire. Body mass index was used to determine nutritional status. The Virtual Nutri software was used to analyze data on daily intake of vitamin A collected by a dietetic history. Retinol levels were determined in 2 ml of colostrum using high-performance liquid chromatography. RESULTS: Most women were of low socioeconomic and educational backgrounds. Vitamin A intake was adequate in 55% of the women (mean intake = 1,398.8 µg RE/day). The mean amount of retinol in colostrum was 93.1+51.1 µgRE/100 ml. No significant differences were found in terms of milk retinol levels for the variables income (p = 0.503), educational level (p = 0.708) and birth weight (p = 0. 499). However, a statistically significant difference was observed for nutritional status during pregnancy (0.016). CONCLUSION:The lack of influence of socioeconomic factors on colostrum retinol levels suggests the existence of an adaptive mechanism of the mammary gland to maintain adequate retinol levels that meet the infant's daily needs.

Published
2003
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2. Construcción de un índice de privación a partir de datos censales en grandes ciudades españolas: (Proyecto MEDEA) Constructing a deprivation index based on census data in large Spanish cities: (the MEDEA project)

Author

M. Felícitas Domínguez-Berjón, Carme Borrell, Gemma Cano-Serral, Santiago Esnaola, Andreu Nolasco, M. Isabel Pasarín, Rebeca Ramis, Carme Saurina, and Antonio Escolar-Pujolar

Subjects
Census, Áreas pequeñas, lcsh:Public aspects of medicine, lcsh:RA1-1270, Indicadores socioeconómicos, Urbano, Censo, Desigualdades en salud, Small areas, Mortalidad, Urban, Socio-economic indicators, Mortality, Health inequalities
Abstract

Objetivos: a) Describir la metodología seguida en la construcción de un índice de privación por sección censal en ciudades, que permite identificar las secciones con situaciones socioeconómicas más desfavorables, y b) analizar la relación de este índice con la mortalidad general. Métodos: Se elaboraron diversos indicadores socioeconómicos (Censo 2001) correspondientes a las secciones censales de las ciudades de Barcelona, Bilbao, Madrid, Sevilla y Valencia. Se estudiaron sus correlaciones con la razón estandarizada de mortalidad (1996-2003), así como sus dimensiones conceptuales. Finalmente, mediante el análisis de componentes principales, se agregaron en un índice los indicadores seleccionados, usando como valores de peso las saturaciones correspondientes al primer eje. Resultados: Los indicadores que presentaron mayores correlaciones con la mortalidad general fueron los referidos a trabajo, educación, vivienda-entorno y hogares monoparentales. En el análisis dimensional de los indicadores aparece una primera dimensión que contiene los indicadores relativos a trabajo (desempleo, trabajadores manuales y eventuales) y educación (instrucción insuficiente total y en jóvenes). El índice elaborado con estos 5 indicadores recoge, en todas las ciudades estudiadas, más del 75% de la variabilidad de los indicadores que lo componen. Las correlaciones de este índice con la mortalidad muestran, en general, mayores valores que las obtenidas individualmente con cada indicador. Conclusiones: El índice de privación que se propone puede ser un instrumento útil para la planificación sanitaria al detectar áreas pequeñas de grandes ciudades con una situación socioeconómica desfavorable, que se relaciona con la mortalidad, y puede contribuir al estudio de las desigualdades sociales en salud en España.Objectives: a) To describe the methodology used to construct a deprivation index by census tract in cities, to identify the tracts with the least favorable socioeconomic conditions, and b) to analyze the association between this index and overall mortality. Methods: Several socioeconomic indicators (Census 2001) were defined by the census tracts of the following cities: Barcelona, Bilbao, Madrid, Seville and Valencia. The correlations with the standardized mortality ratio (1996-2003), and the dimensionality of the socioeconomic indicators were studied. Finally, the selected indicators were aggregated in an index, in which the results of the factor loadings from extraction of a factor by principal components were used as weighting values. Results: The indicators with the strongest correlations with overall mortality were those related to work, education, housing conditions and single parent homes. In the analysis of dimensionality, a first dimension appeared that contained indicators related to work (unemployment, manual and eventual workers) and education (insufficient education overall and in young people). In all the cities studied, the index created with these 5 indicators explained more than 75% of their variability. The correlations between this index and mortality generally showed higher values than those obtained with each indicator separately. Conclusions: The deprivation index proposed could be a useful instrument for health planning as it detects small areas of large cities with unfavorable socioeconomic characteristics and is associated with mortality. This index could contribute to the study of social inequalities in health in Spain.

Published
2008

3. Construcción de un índice de privación a partir de datos censales en grandes ciudades españolas: (Proyecto MEDEA)

Author

Domínguez-Berjón, M. Felícitas, Borrell, Carme, Cano-Serral, Gemma, Esnaola, Santiago, Nolasco, Andreu, Pasarín, M. Isabel, Ramis, Rebeca, Saurina, Carme, Escolar-Pujolar, Antonio, and Red tematica de investigacion cooperativa de centros en Epidemiologia y salud publica

Subjects
Male, Census, Áreas pequeñas, Urban Population, Censuses, Indicadores socioeconómicos, Urbano, Small areas, Censo, Desigualdades en salud, Socioeconomic Factors, Spain, Mortalidad, Urban, Health Status Indicators, Humans, Female, Socio-economic indicators, Mortality, Health inequalities
Abstract

Objetivos: a) Describir la metodología seguida en la construcción de un índice de privación por sección censal en ciudades, que permite identificar las secciones con situaciones socioeconómicas más desfavorables, y b) analizar la relación de este índice con la mortalidad general. Métodos: Se elaboraron diversos indicadores socioeconómicos (Censo 2001) correspondientes a las secciones censales de las ciudades de Barcelona, Bilbao, Madrid, Sevilla y Valencia. Se estudiaron sus correlaciones con la razón estandarizada de mortalidad (1996-2003), así como sus dimensiones conceptuales. Finalmente, mediante el análisis de componentes principales, se agregaron en un índice los indicadores seleccionados, usando como valores de peso las saturaciones correspondientes al primer eje. Resultados: Los indicadores que presentaron mayores correlaciones con la mortalidad general fueron los referidos a trabajo, educación, vivienda-entorno y hogares monoparentales. En el análisis dimensional de los indicadores aparece una primera dimensión que contiene los indicadores relativos a trabajo (desempleo, trabajadores manuales y eventuales) y educación (instrucción insuficiente total y en jóvenes). El índice elaborado con estos 5 indicadores recoge, en todas las ciudades estudiadas, más del 75% de la variabilidad de los indicadores que lo componen. Las correlaciones de este índice con la mortalidad muestran, en general, mayores valores que las obtenidas individualmente con cada indicador. Conclusiones: El índice de privación que se propone puede ser un instrumento útil para la planificación sanitaria al detectar áreas pequeñas de grandes ciudades con una situación socioeconómica desfavorable, que se relaciona con la mortalidad, y puede contribuir al estudio de las desigualdades sociales en salud en España. Objectives: a) To describe the methodology used to construct a deprivation index by census tract in cities, to identify the tracts with the least favorable socioeconomic conditions, and b) to analyze the association between this index and overall mortality. Methods: Several socioeconomic indicators (Census 2001) were defined by the census tracts of the following cities: Barcelona, Bilbao, Madrid, Seville and Valencia. The correlations with the standardized mortality ratio (1996-2003), and the dimensionality of the socioeconomic indicators were studied. Finally, the selected indicators were aggregated in an index, in which the results of the factor loadings from extraction of a factor by principal components were used as weighting values. Results: The indicators with the strongest correlations with overall mortality were those related to work, education, housing conditions and single parent homes. In the analysis of dimensionality, a first dimension appeared that contained indicators related to work (unemployment, manual and eventual workers) and education (insufficient education overall and in young people). In all the cities studied, the index created with these 5 indicators explained more than 75% of their variability. The correlations between this index and mortality generally showed higher values than those obtained with each indicator separately. Conclusions: The deprivation index proposed could be a useful instrument for health planning as it detects small areas of large cities with unfavorable socioeconomic characteristics and is associated with mortality. This index could contribute to the study of social inequalities in health in Spain.

Published
2008

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