Applying multilevel model to the relationship of dietary patterns and colorectal cancer: An ongoing case-control study in Córdoba, Argentina

Autores
Pou, Sonia Alejandra; Diaz, Maria del Pilar; Osella, Alberto Rubén
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Scientific literature has consistently shown the effects of certain diets on health but regional variations of dietary habits, and their relationship colorectal cancer (CRC) has been poorly studied in Argentina. Our aims were to identify dietary patterns and estimate their effect on CRC occurrence and to quantify the association between family history of CRC and CRC occurrence by applying multilevel models to estimate and interpret measures of variation. Methods: Principal components factor analysis was performed to identify dietary patterns that were then used in a multilevel logistic regression applied to an ongoing case-control data about dietary exposure and CRC occurrence taking into account familiar clustering. Results: Three dietary patterns were identified: "Southern Cone pattern" (red meat, wine, and starchy vegetables), "High-sugar drinks pattern", and "Prudent pattern". The study considered 41 cases and 95 controls. There was a significant promoting effects on CRC of "Southern Cone" (OR 1.5, 95%CI 1.0-2.2) and "High-sugar drinks" (OR 3.8, 95%CI 2.0-7.1) patterns, whereas "Prudent pattern" (OR 0.3, 95%CI 0.2-0.4) showed a significant protective effect at third tertile level. BMI, use of NSAIDs, and to have medical insurance showed significant effects. Variance of the random effect of family history of CRC was highly significant. Conclusions: This novel approach for Argentina showed that Southern Cone and High-sugar drinks patterns were associated with a higher risk of CRC, whereas the Prudent pattern showed a protective effect. There was a significant clustering effect of family history of CRC.
Fil: Pou, Sonia Alejandra. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición. Cátedra de Estadística y Bioestadística; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina
Fil: Diaz, Maria del Pilar. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; Argentina
Fil: Osella, Alberto Rubén. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición. Cátedra de Estadística y Bioestadística; Argentina
Materia
ARGENTINA
COLORECTAL CANCER
DIETARY PATTERNS
MEAT INTAKE
MULTILEVEL
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/197568
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/197568
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Applying multilevel model to the relationship of dietary patterns and colorectal cancer: An ongoing case-control study in Córdoba, ArgentinaPou, Sonia AlejandraDiaz, Maria del PilarOsella, Alberto RubénARGENTINACOLORECTAL CANCERDIETARY PATTERNSMEAT INTAKEMULTILEVELhttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3Scientific literature has consistently shown the effects of certain diets on health but regional variations of dietary habits, and their relationship colorectal cancer (CRC) has been poorly studied in Argentina. Our aims were to identify dietary patterns and estimate their effect on CRC occurrence and to quantify the association between family history of CRC and CRC occurrence by applying multilevel models to estimate and interpret measures of variation. Methods: Principal components factor analysis was performed to identify dietary patterns that were then used in a multilevel logistic regression applied to an ongoing case-control data about dietary exposure and CRC occurrence taking into account familiar clustering. Results: Three dietary patterns were identified: "Southern Cone pattern" (red meat, wine, and starchy vegetables), "High-sugar drinks pattern", and "Prudent pattern". The study considered 41 cases and 95 controls. There was a significant promoting effects on CRC of "Southern Cone" (OR 1.5, 95%CI 1.0-2.2) and "High-sugar drinks" (OR 3.8, 95%CI 2.0-7.1) patterns, whereas "Prudent pattern" (OR 0.3, 95%CI 0.2-0.4) showed a significant protective effect at third tertile level. BMI, use of NSAIDs, and to have medical insurance showed significant effects. Variance of the random effect of family history of CRC was highly significant. Conclusions: This novel approach for Argentina showed that Southern Cone and High-sugar drinks patterns were associated with a higher risk of CRC, whereas the Prudent pattern showed a protective effect. There was a significant clustering effect of family history of CRC.Fil: Pou, Sonia Alejandra. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición. Cátedra de Estadística y Bioestadística; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; ArgentinaFil: Diaz, Maria del Pilar. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; ArgentinaFil: Osella, Alberto Rubén. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición. Cátedra de Estadística y Bioestadística; ArgentinaDr. Dietrich Steinkopff Verlag2012-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/197568Pou, Sonia Alejandra; Diaz, Maria del Pilar; Osella, Alberto Rubén; Applying multilevel model to the relationship of dietary patterns and colorectal cancer: An ongoing case-control study in Córdoba, Argentina; Dr. Dietrich Steinkopff Verlag; European Journal of Nutrition; 51; 6; 9-2012; 755-7641436-62071436-6215CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1007/s00394-011-0255-7info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s00394-011-0255-7info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:18:21Zoai:ri.conicet.gov.ar:11336/197568instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:18:21.708CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Applying multilevel model to the relationship of dietary patterns and colorectal cancer: An ongoing case-control study in Córdoba, Argentina
title Applying multilevel model to the relationship of dietary patterns and colorectal cancer: An ongoing case-control study in Córdoba, Argentina
spellingShingle Applying multilevel model to the relationship of dietary patterns and colorectal cancer: An ongoing case-control study in Córdoba, Argentina
Pou, Sonia Alejandra
ARGENTINA
COLORECTAL CANCER
DIETARY PATTERNS
MEAT INTAKE
MULTILEVEL
title_short Applying multilevel model to the relationship of dietary patterns and colorectal cancer: An ongoing case-control study in Córdoba, Argentina
title_full Applying multilevel model to the relationship of dietary patterns and colorectal cancer: An ongoing case-control study in Córdoba, Argentina
title_fullStr Applying multilevel model to the relationship of dietary patterns and colorectal cancer: An ongoing case-control study in Córdoba, Argentina
title_full_unstemmed Applying multilevel model to the relationship of dietary patterns and colorectal cancer: An ongoing case-control study in Córdoba, Argentina
title_sort Applying multilevel model to the relationship of dietary patterns and colorectal cancer: An ongoing case-control study in Córdoba, Argentina
dc.creator.none.fl_str_mv Pou, Sonia Alejandra
Diaz, Maria del Pilar
Osella, Alberto Rubén
author Pou, Sonia Alejandra
author_facet Pou, Sonia Alejandra
Diaz, Maria del Pilar
Osella, Alberto Rubén
author_role author
author2 Diaz, Maria del Pilar
Osella, Alberto Rubén
author2_role author
author
dc.subject.none.fl_str_mv ARGENTINA
COLORECTAL CANCER
DIETARY PATTERNS
MEAT INTAKE
MULTILEVEL
topic ARGENTINA
COLORECTAL CANCER
DIETARY PATTERNS
MEAT INTAKE
MULTILEVEL
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.3
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Scientific literature has consistently shown the effects of certain diets on health but regional variations of dietary habits, and their relationship colorectal cancer (CRC) has been poorly studied in Argentina. Our aims were to identify dietary patterns and estimate their effect on CRC occurrence and to quantify the association between family history of CRC and CRC occurrence by applying multilevel models to estimate and interpret measures of variation. Methods: Principal components factor analysis was performed to identify dietary patterns that were then used in a multilevel logistic regression applied to an ongoing case-control data about dietary exposure and CRC occurrence taking into account familiar clustering. Results: Three dietary patterns were identified: "Southern Cone pattern" (red meat, wine, and starchy vegetables), "High-sugar drinks pattern", and "Prudent pattern". The study considered 41 cases and 95 controls. There was a significant promoting effects on CRC of "Southern Cone" (OR 1.5, 95%CI 1.0-2.2) and "High-sugar drinks" (OR 3.8, 95%CI 2.0-7.1) patterns, whereas "Prudent pattern" (OR 0.3, 95%CI 0.2-0.4) showed a significant protective effect at third tertile level. BMI, use of NSAIDs, and to have medical insurance showed significant effects. Variance of the random effect of family history of CRC was highly significant. Conclusions: This novel approach for Argentina showed that Southern Cone and High-sugar drinks patterns were associated with a higher risk of CRC, whereas the Prudent pattern showed a protective effect. There was a significant clustering effect of family history of CRC.
Fil: Pou, Sonia Alejandra. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición. Cátedra de Estadística y Bioestadística; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina
Fil: Diaz, Maria del Pilar. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; Argentina
Fil: Osella, Alberto Rubén. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición. Cátedra de Estadística y Bioestadística; Argentina
description Scientific literature has consistently shown the effects of certain diets on health but regional variations of dietary habits, and their relationship colorectal cancer (CRC) has been poorly studied in Argentina. Our aims were to identify dietary patterns and estimate their effect on CRC occurrence and to quantify the association between family history of CRC and CRC occurrence by applying multilevel models to estimate and interpret measures of variation. Methods: Principal components factor analysis was performed to identify dietary patterns that were then used in a multilevel logistic regression applied to an ongoing case-control data about dietary exposure and CRC occurrence taking into account familiar clustering. Results: Three dietary patterns were identified: "Southern Cone pattern" (red meat, wine, and starchy vegetables), "High-sugar drinks pattern", and "Prudent pattern". The study considered 41 cases and 95 controls. There was a significant promoting effects on CRC of "Southern Cone" (OR 1.5, 95%CI 1.0-2.2) and "High-sugar drinks" (OR 3.8, 95%CI 2.0-7.1) patterns, whereas "Prudent pattern" (OR 0.3, 95%CI 0.2-0.4) showed a significant protective effect at third tertile level. BMI, use of NSAIDs, and to have medical insurance showed significant effects. Variance of the random effect of family history of CRC was highly significant. Conclusions: This novel approach for Argentina showed that Southern Cone and High-sugar drinks patterns were associated with a higher risk of CRC, whereas the Prudent pattern showed a protective effect. There was a significant clustering effect of family history of CRC.
publishDate 2012
dc.date.none.fl_str_mv 2012-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/197568
Pou, Sonia Alejandra; Diaz, Maria del Pilar; Osella, Alberto Rubén; Applying multilevel model to the relationship of dietary patterns and colorectal cancer: An ongoing case-control study in Córdoba, Argentina; Dr. Dietrich Steinkopff Verlag; European Journal of Nutrition; 51; 6; 9-2012; 755-764
1436-6207
1436-6215
CONICET Digital
CONICET
url http://hdl.handle.net/11336/197568
identifier_str_mv Pou, Sonia Alejandra; Diaz, Maria del Pilar; Osella, Alberto Rubén; Applying multilevel model to the relationship of dietary patterns and colorectal cancer: An ongoing case-control study in Córdoba, Argentina; Dr. Dietrich Steinkopff Verlag; European Journal of Nutrition; 51; 6; 9-2012; 755-764
1436-6207
1436-6215
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1007/s00394-011-0255-7
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s00394-011-0255-7
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Dr. Dietrich Steinkopff Verlag
publisher.none.fl_str_mv Dr. Dietrich Steinkopff Verlag
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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