Inequalities in morbidity chronic disease based on structural and intermediate determinants
ABSTRACT IN ENGLISH: This research aimed at identifying inequalities in morbidity from chronic diseases. It was an analytical cross-sectional study based on data taken from the National Health Survey of Colombia, 2007. Differences in proportions and prevalence rates were calculated. Linear regressio...
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description | ABSTRACT IN ENGLISH: This research aimed at identifying inequalities in morbidity from chronic diseases. It was an analytical cross-sectional study based on data taken from the National Health Survey of Colombia, 2007. Differences in proportions and prevalence rates were calculated. Linear regression models were constructed and Chaid analysis and classification analysis were performed. A higher risk was found in women and in people with no schooling than in university students. Explanatory variables for hypertension were gender, age, wealth index; Diabetes variables were age, area of residence and wealth index. Risk factors for hypertension were gender, wealth index and area of residence and for diabetes were body mass index, gender and wealth index. As a conclusion, inequality in hypertension is characterized by the structural determinants: gender, age, wealth index and region. Inequality in diabetes is also characterized by the area of residence. The intermediate determinant for both diseases was the body mass index. // ABSTRACT IN SPANISH: Esta investigación se propuso identificar las desigualdades en la morbilidad por enfermedades crónicas. Es un estudio analítico trasversal a partir de la información de la Encuesta Nacional de Salud 2007, Colombia. Se calcularon diferencias de proporciones y razones de prevalencia- Se construyeron modelos de regresión lineal y se realizó análisis Chaid y de clasificación. Se encontró mayor riesgo en mujeres y en personas sin escolaridad, en comparación con los universitarios. Las variables explicativas de la hipertensión son el sexo, la edad y el índice de riqueza, y para diabetes: edad, zona e índice de riqueza. Los factores de riesgo para hipertensión son el sexo, el índice de riqueza y la región, y para diabetes: índice de masa corporal, sexo e índice de riqueza. Se concluyó que la desigualdad por hipertensión se caracteriza por los determinantes estructurales, sexo, edad, índice de riqueza y región. La diabetes se caracteriza además por zona de residencia. Como determinante intermediario para ambas patologías se identificó el índice de masa corporal. Reprinted by permission of the: Revista Gerencia y Políticas de Salud |
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It was an analytical cross-sectional study based on data taken from the National Health Survey of Colombia, 2007. Differences in proportions and prevalence rates were calculated. Linear regression models were constructed and Chaid analysis and classification analysis were performed. A higher risk was found in women and in people with no schooling than in university students. Explanatory variables for hypertension were gender, age, wealth index; Diabetes variables were age, area of residence and wealth index. Risk factors for hypertension were gender, wealth index and area of residence and for diabetes were body mass index, gender and wealth index. As a conclusion, inequality in hypertension is characterized by the structural determinants: gender, age, wealth index and region. Inequality in diabetes is also characterized by the area of residence. The intermediate determinant for both diseases was the body mass index. // ABSTRACT IN SPANISH: Esta investigación se propuso identificar las desigualdades en la morbilidad por enfermedades crónicas. Es un estudio analítico trasversal a partir de la información de la Encuesta Nacional de Salud 2007, Colombia. Se calcularon diferencias de proporciones y razones de prevalencia- Se construyeron modelos de regresión lineal y se realizó análisis Chaid y de clasificación. Se encontró mayor riesgo en mujeres y en personas sin escolaridad, en comparación con los universitarios. Las variables explicativas de la hipertensión son el sexo, la edad y el índice de riqueza, y para diabetes: edad, zona e índice de riqueza. Los factores de riesgo para hipertensión son el sexo, el índice de riqueza y la región, y para diabetes: índice de masa corporal, sexo e índice de riqueza. Se concluyó que la desigualdad por hipertensión se caracteriza por los determinantes estructurales, sexo, edad, índice de riqueza y región. La diabetes se caracteriza además por zona de residencia. Como determinante intermediario para ambas patologías se identificó el índice de masa corporal. 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It was an analytical cross-sectional study based on data taken from the National Health Survey of Colombia, 2007. Differences in proportions and prevalence rates were calculated. Linear regression models were constructed and Chaid analysis and classification analysis were performed. A higher risk was found in women and in people with no schooling than in university students. Explanatory variables for hypertension were gender, age, wealth index; Diabetes variables were age, area of residence and wealth index. Risk factors for hypertension were gender, wealth index and area of residence and for diabetes were body mass index, gender and wealth index. As a conclusion, inequality in hypertension is characterized by the structural determinants: gender, age, wealth index and region. Inequality in diabetes is also characterized by the area of residence. The intermediate determinant for both diseases was the body mass index. // ABSTRACT IN SPANISH: Esta investigación se propuso identificar las desigualdades en la morbilidad por enfermedades crónicas. Es un estudio analítico trasversal a partir de la información de la Encuesta Nacional de Salud 2007, Colombia. Se calcularon diferencias de proporciones y razones de prevalencia- Se construyeron modelos de regresión lineal y se realizó análisis Chaid y de clasificación. Se encontró mayor riesgo en mujeres y en personas sin escolaridad, en comparación con los universitarios. Las variables explicativas de la hipertensión son el sexo, la edad y el índice de riqueza, y para diabetes: edad, zona e índice de riqueza. Los factores de riesgo para hipertensión son el sexo, el índice de riqueza y la región, y para diabetes: índice de masa corporal, sexo e índice de riqueza. Se concluyó que la desigualdad por hipertensión se caracteriza por los determinantes estructurales, sexo, edad, índice de riqueza y región. La diabetes se caracteriza además por zona de residencia. Como determinante intermediario para ambas patologías se identificó el índice de masa corporal. Reprinted by permission of the: Revista Gerencia y Políticas de Salud</description><subject>Colombia</subject><subject>Cross-sectional analysis</subject><subject>Determinants</subject><subject>Diabetes</subject><subject>Diseases</subject><subject>Gender</subject><subject>Inequality</subject><subject>Morbidity</subject><subject>Regression analysis</subject><subject>Students</subject><subject>Survey analysis</subject><issn>1657-7027</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNqVi70KwjAURjMoWH_e4Y4uhbTVVGdRdHdzKGlzxStpYnOTwbe3gi_g8h0OnG8iskJt67yWZT0Tc-anlKqUsszE7eJwSNpSJGQgB70PLRmKb-gewTvqwBCjZoR2HAPeAceQupiCtqCdGU8RQ4-GdEQw-BVy2kVeiuldW8bVjwuxPh2vh3P-Cn5IyLHpiTu0Vjv0iZtC7SpZ79VGVX-kH3vvR8s</recordid><startdate>20120701</startdate><enddate>20120701</enddate><creator>Cerezo-Correa, María del Pilar</creator><creator>Cifuentes-Aguirre, Olga Lucía</creator><creator>Nieto-Murillo, Eugenia</creator><creator>Parra-Sanchez, José Hernán</creator><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope></search><sort><creationdate>20120701</creationdate><title>Inequalities in morbidity chronic disease based on structural and intermediate determinants</title><author>Cerezo-Correa, María del Pilar ; Cifuentes-Aguirre, Olga Lucía ; Nieto-Murillo, Eugenia ; Parra-Sanchez, José Hernán</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_miscellaneous_16830796463</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>spa</language><creationdate>2012</creationdate><topic>Colombia</topic><topic>Cross-sectional analysis</topic><topic>Determinants</topic><topic>Diabetes</topic><topic>Diseases</topic><topic>Gender</topic><topic>Inequality</topic><topic>Morbidity</topic><topic>Regression analysis</topic><topic>Students</topic><topic>Survey analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cerezo-Correa, María del Pilar</creatorcontrib><creatorcontrib>Cifuentes-Aguirre, Olga Lucía</creatorcontrib><creatorcontrib>Nieto-Murillo, Eugenia</creatorcontrib><creatorcontrib>Parra-Sanchez, José Hernán</creatorcontrib><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><jtitle>Revista gerencia y políticas de salud</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cerezo-Correa, María del Pilar</au><au>Cifuentes-Aguirre, Olga Lucía</au><au>Nieto-Murillo, Eugenia</au><au>Parra-Sanchez, José Hernán</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Inequalities in morbidity chronic disease based on structural and intermediate determinants</atitle><jtitle>Revista gerencia y políticas de salud</jtitle><date>2012-07-01</date><risdate>2012</risdate><volume>11</volume><issue>23</issue><spage>165</spage><epage>188</epage><pages>165-188</pages><issn>1657-7027</issn><abstract>ABSTRACT IN ENGLISH: This research aimed at identifying inequalities in morbidity from chronic diseases. It was an analytical cross-sectional study based on data taken from the National Health Survey of Colombia, 2007. Differences in proportions and prevalence rates were calculated. Linear regression models were constructed and Chaid analysis and classification analysis were performed. A higher risk was found in women and in people with no schooling than in university students. Explanatory variables for hypertension were gender, age, wealth index; Diabetes variables were age, area of residence and wealth index. Risk factors for hypertension were gender, wealth index and area of residence and for diabetes were body mass index, gender and wealth index. As a conclusion, inequality in hypertension is characterized by the structural determinants: gender, age, wealth index and region. Inequality in diabetes is also characterized by the area of residence. The intermediate determinant for both diseases was the body mass index. // ABSTRACT IN SPANISH: Esta investigación se propuso identificar las desigualdades en la morbilidad por enfermedades crónicas. Es un estudio analítico trasversal a partir de la información de la Encuesta Nacional de Salud 2007, Colombia. Se calcularon diferencias de proporciones y razones de prevalencia- Se construyeron modelos de regresión lineal y se realizó análisis Chaid y de clasificación. Se encontró mayor riesgo en mujeres y en personas sin escolaridad, en comparación con los universitarios. Las variables explicativas de la hipertensión son el sexo, la edad y el índice de riqueza, y para diabetes: edad, zona e índice de riqueza. Los factores de riesgo para hipertensión son el sexo, el índice de riqueza y la región, y para diabetes: índice de masa corporal, sexo e índice de riqueza. Se concluyó que la desigualdad por hipertensión se caracteriza por los determinantes estructurales, sexo, edad, índice de riqueza y región. La diabetes se caracteriza además por zona de residencia. Como determinante intermediario para ambas patologías se identificó el índice de masa corporal. Reprinted by permission of the: Revista Gerencia y Políticas de Salud</abstract></addata></record> |
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subjects | Colombia Cross-sectional analysis Determinants Diabetes Diseases Gender Inequality Morbidity Regression analysis Students Survey analysis |
title | Inequalities in morbidity chronic disease based on structural and intermediate determinants |
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