Dietary patterns and breast cancer risk through multilevel modeling coupled to a sensitivity analysis: an ongoing case-control study in Córdoba, Argentina.

Autores
Tumas, Natalia; Niclis, Camila; Aballay, Laura Rosana; Osella, Alberto Ruben; Gálvez Díaz, María del Pilar
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Introduction: Several studies have shown the effect of dietary patterns on breast cancer risk but none has been conducted in Argentina. The aim of this study was to extract dietary patterns from FFQ and to estimate their effect on breast cancer occurrence while taking into account aggregation factors (family history of breast cancer),and to explore the sensitivity of the estimates to changes in the assumptions. Methods: A Principal Component Exploratory Factor Analysis was applied to identify dietary patterns, which were then included as covariates in a multilevel logistic regression. Family history of BC was considered as a clustering variable. A multiple probabilistic sensitivity analysis was also performed.Results: The study included 100 cases and 294 controls. Four dietary patterns were identified. Traditional (fat meats, bakery products and vegetable oil and mayonnaise) (OR III tertilevs I 3.13, 95%CI 2.58-3.78), Rural (processed meat) (OR III tertilevs I 2.02, 95%CI 1.21-3.37) and Starchy (refined grains) (OR III tertilevs I 1.82, 95%CI 1.18-2.79) dietary patterns were positively associated with BC risk, whereas the Prudent pattern (fruit and non-starchy vegetables) (OR III tertilevs I 0.56, 95%CI 0.41-0.77) showed a protective effect. For Traditional pattern, the median bias-adjusted ORs (3.52) were higher than the conventional (2.76). Conclusions: While the Prudent pattern was associated with a reduced risk of BC, Traditional, Rural and Starchy patterns showed a promoting effect. Despite the threats to validity, the nature of associations was not strongly affected.
Fil: Tumas, Natalia. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Centro de Investigaciones y Estudios sobre Cultura y Sociedad. Universidad Nacional de Córdoba. Centro de Investigaciones y Estudios sobre Cultura y Sociedad; Argentina
Fil: Niclis, Camila. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; 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: Aballay, Laura Rosana. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; Argentina
Fil: Osella, Alberto Ruben. IRCCS Saverio de Bellis. Laboratorio di Epidemiologia E Biostatistica; Italia
Fil: Gálvez Díaz, María del Pilar. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; Argentina
Materia
ARGENTINA
BREAST CANCER
DIETARY PATTERNS
MULTILEVEL
SENSITIVITY ANALYSIS
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:11336/186014
Acceder
id CONICETDig_fb3ddb53db8149b75c85be896713d3d2
oai_identifier_str oai:ri.conicet.gov.ar:11336/186014
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Dietary patterns and breast cancer risk through multilevel modeling coupled to a sensitivity analysis: an ongoing case-control study in Córdoba, Argentina.Tumas, NataliaNiclis, CamilaAballay, Laura RosanaOsella, Alberto RubenGálvez Díaz, María del PilarARGENTINABREAST CANCERDIETARY PATTERNSMULTILEVELSENSITIVITY ANALYSIShttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3https://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3Introduction: Several studies have shown the effect of dietary patterns on breast cancer risk but none has been conducted in Argentina. The aim of this study was to extract dietary patterns from FFQ and to estimate their effect on breast cancer occurrence while taking into account aggregation factors (family history of breast cancer),and to explore the sensitivity of the estimates to changes in the assumptions. Methods: A Principal Component Exploratory Factor Analysis was applied to identify dietary patterns, which were then included as covariates in a multilevel logistic regression. Family history of BC was considered as a clustering variable. A multiple probabilistic sensitivity analysis was also performed.Results: The study included 100 cases and 294 controls. Four dietary patterns were identified. Traditional (fat meats, bakery products and vegetable oil and mayonnaise) (OR III tertilevs I 3.13, 95%CI 2.58-3.78), Rural (processed meat) (OR III tertilevs I 2.02, 95%CI 1.21-3.37) and Starchy (refined grains) (OR III tertilevs I 1.82, 95%CI 1.18-2.79) dietary patterns were positively associated with BC risk, whereas the Prudent pattern (fruit and non-starchy vegetables) (OR III tertilevs I 0.56, 95%CI 0.41-0.77) showed a protective effect. For Traditional pattern, the median bias-adjusted ORs (3.52) were higher than the conventional (2.76). Conclusions: While the Prudent pattern was associated with a reduced risk of BC, Traditional, Rural and Starchy patterns showed a promoting effect. Despite the threats to validity, the nature of associations was not strongly affected.Fil: Tumas, Natalia. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Centro de Investigaciones y Estudios sobre Cultura y Sociedad. Universidad Nacional de Córdoba. Centro de Investigaciones y Estudios sobre Cultura y Sociedad; ArgentinaFil: Niclis, Camila. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; 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: Aballay, Laura Rosana. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; ArgentinaFil: Osella, Alberto Ruben. IRCCS Saverio de Bellis. Laboratorio di Epidemiologia E Biostatistica; ItaliaFil: Gálvez Díaz, María del Pilar. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; ArgentinaSpringer2014-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/186014Tumas, Natalia; Niclis, Camila; Aballay, Laura Rosana; Osella, Alberto Ruben; Gálvez Díaz, María del Pilar; Dietary patterns and breast cancer risk through multilevel modeling coupled to a sensitivity analysis: an ongoing case-control study in Córdoba, Argentina.; Springer; European Journal of Nutrition; 53; 2; 3-2014; 557-5661436-62071436-6215CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://link.springer.com/article/10.1007%2Fs00394-013-0564-0#info:eu-repo/semantics/altIdentifier/doi/10.1007/s00394-013-0564-0info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:17:24Zoai:ri.conicet.gov.ar:11336/186014instacron: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 10:17:24.825CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Dietary patterns and breast cancer risk through multilevel modeling coupled to a sensitivity analysis: an ongoing case-control study in Córdoba, Argentina.
title Dietary patterns and breast cancer risk through multilevel modeling coupled to a sensitivity analysis: an ongoing case-control study in Córdoba, Argentina.
spellingShingle Dietary patterns and breast cancer risk through multilevel modeling coupled to a sensitivity analysis: an ongoing case-control study in Córdoba, Argentina.
Tumas, Natalia
ARGENTINA
BREAST CANCER
DIETARY PATTERNS
MULTILEVEL
SENSITIVITY ANALYSIS
title_short Dietary patterns and breast cancer risk through multilevel modeling coupled to a sensitivity analysis: an ongoing case-control study in Córdoba, Argentina.
title_full Dietary patterns and breast cancer risk through multilevel modeling coupled to a sensitivity analysis: an ongoing case-control study in Córdoba, Argentina.
title_fullStr Dietary patterns and breast cancer risk through multilevel modeling coupled to a sensitivity analysis: an ongoing case-control study in Córdoba, Argentina.
title_full_unstemmed Dietary patterns and breast cancer risk through multilevel modeling coupled to a sensitivity analysis: an ongoing case-control study in Córdoba, Argentina.
title_sort Dietary patterns and breast cancer risk through multilevel modeling coupled to a sensitivity analysis: an ongoing case-control study in Córdoba, Argentina.
dc.creator.none.fl_str_mv Tumas, Natalia
Niclis, Camila
Aballay, Laura Rosana
Osella, Alberto Ruben
Gálvez Díaz, María del Pilar
author Tumas, Natalia
author_facet Tumas, Natalia
Niclis, Camila
Aballay, Laura Rosana
Osella, Alberto Ruben
Gálvez Díaz, María del Pilar
author_role author
author2 Niclis, Camila
Aballay, Laura Rosana
Osella, Alberto Ruben
Gálvez Díaz, María del Pilar
author2_role author
author
author
author
dc.subject.none.fl_str_mv ARGENTINA
BREAST CANCER
DIETARY PATTERNS
MULTILEVEL
SENSITIVITY ANALYSIS
topic ARGENTINA
BREAST CANCER
DIETARY PATTERNS
MULTILEVEL
SENSITIVITY ANALYSIS
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.3
https://purl.org/becyt/ford/3
https://purl.org/becyt/ford/3.3
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Introduction: Several studies have shown the effect of dietary patterns on breast cancer risk but none has been conducted in Argentina. The aim of this study was to extract dietary patterns from FFQ and to estimate their effect on breast cancer occurrence while taking into account aggregation factors (family history of breast cancer),and to explore the sensitivity of the estimates to changes in the assumptions. Methods: A Principal Component Exploratory Factor Analysis was applied to identify dietary patterns, which were then included as covariates in a multilevel logistic regression. Family history of BC was considered as a clustering variable. A multiple probabilistic sensitivity analysis was also performed.Results: The study included 100 cases and 294 controls. Four dietary patterns were identified. Traditional (fat meats, bakery products and vegetable oil and mayonnaise) (OR III tertilevs I 3.13, 95%CI 2.58-3.78), Rural (processed meat) (OR III tertilevs I 2.02, 95%CI 1.21-3.37) and Starchy (refined grains) (OR III tertilevs I 1.82, 95%CI 1.18-2.79) dietary patterns were positively associated with BC risk, whereas the Prudent pattern (fruit and non-starchy vegetables) (OR III tertilevs I 0.56, 95%CI 0.41-0.77) showed a protective effect. For Traditional pattern, the median bias-adjusted ORs (3.52) were higher than the conventional (2.76). Conclusions: While the Prudent pattern was associated with a reduced risk of BC, Traditional, Rural and Starchy patterns showed a promoting effect. Despite the threats to validity, the nature of associations was not strongly affected.
Fil: Tumas, Natalia. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Centro de Investigaciones y Estudios sobre Cultura y Sociedad. Universidad Nacional de Córdoba. Centro de Investigaciones y Estudios sobre Cultura y Sociedad; Argentina
Fil: Niclis, Camila. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; 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: Aballay, Laura Rosana. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; Argentina
Fil: Osella, Alberto Ruben. IRCCS Saverio de Bellis. Laboratorio di Epidemiologia E Biostatistica; Italia
Fil: Gálvez Díaz, María del Pilar. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; Argentina
description Introduction: Several studies have shown the effect of dietary patterns on breast cancer risk but none has been conducted in Argentina. The aim of this study was to extract dietary patterns from FFQ and to estimate their effect on breast cancer occurrence while taking into account aggregation factors (family history of breast cancer),and to explore the sensitivity of the estimates to changes in the assumptions. Methods: A Principal Component Exploratory Factor Analysis was applied to identify dietary patterns, which were then included as covariates in a multilevel logistic regression. Family history of BC was considered as a clustering variable. A multiple probabilistic sensitivity analysis was also performed.Results: The study included 100 cases and 294 controls. Four dietary patterns were identified. Traditional (fat meats, bakery products and vegetable oil and mayonnaise) (OR III tertilevs I 3.13, 95%CI 2.58-3.78), Rural (processed meat) (OR III tertilevs I 2.02, 95%CI 1.21-3.37) and Starchy (refined grains) (OR III tertilevs I 1.82, 95%CI 1.18-2.79) dietary patterns were positively associated with BC risk, whereas the Prudent pattern (fruit and non-starchy vegetables) (OR III tertilevs I 0.56, 95%CI 0.41-0.77) showed a protective effect. For Traditional pattern, the median bias-adjusted ORs (3.52) were higher than the conventional (2.76). Conclusions: While the Prudent pattern was associated with a reduced risk of BC, Traditional, Rural and Starchy patterns showed a promoting effect. Despite the threats to validity, the nature of associations was not strongly affected.
publishDate 2014
dc.date.none.fl_str_mv 2014-03
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/11336/186014
Tumas, Natalia; Niclis, Camila; Aballay, Laura Rosana; Osella, Alberto Ruben; Gálvez Díaz, María del Pilar; Dietary patterns and breast cancer risk through multilevel modeling coupled to a sensitivity analysis: an ongoing case-control study in Córdoba, Argentina.; Springer; European Journal of Nutrition; 53; 2; 3-2014; 557-566
1436-6207
1436-6215
CONICET Digital
CONICET
url http://hdl.handle.net/11336/186014
identifier_str_mv Tumas, Natalia; Niclis, Camila; Aballay, Laura Rosana; Osella, Alberto Ruben; Gálvez Díaz, María del Pilar; Dietary patterns and breast cancer risk through multilevel modeling coupled to a sensitivity analysis: an ongoing case-control study in Córdoba, Argentina.; Springer; European Journal of Nutrition; 53; 2; 3-2014; 557-566
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/url/http://link.springer.com/article/10.1007%2Fs00394-013-0564-0#
info:eu-repo/semantics/altIdentifier/doi/10.1007/s00394-013-0564-0
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
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
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
_version_ 1844614126450507776
score 13.070432

Publicaciones similares