Breast cancer and modifiable lifestyle factors in argentinean women: Addressing missing data in a case-control study

Autores
Becaria Coquet, Julia; Tumas, Natalia; Osella, Alberto Rubén; Tanzi, Matteo; Franco, Isabella; Diaz, Maria del Pilar
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A number of studies have evidenced the effect of modifiable lifestyle factors such as diet, breastfeeding and nutritional status on breast cancer risk. However, none have addressed the missing data problem in nutritional epidemiologic research in South America. Missing data is a frequent problem in breast cancer studies and epidemiological settings in general. Estimates of effect obtained from these studies may be biased, if no appropriate method for handling missing data is applied. We performed Multiple Imputation for missing values on covariates in a breast cancer case-control study of C�rdoba (Argentina) to optimize risk estimates. Data was obtained from a breast cancer case control study from 2008 to 2015 (318 cases, 526 controls). Complete case analysis and multiple imputation using chained equations were the methods applied to estimate the effects of a Traditional dietary pattern and other recognized factors associated with breast cancer. Physical activity and socioeconomic status were imputed. Logistic regression models were performed. When complete case analysis was performed only 31% of women were considered. Although a positive association of Traditional dietary pattern and breast cancer was observed from both approaches (complete case analysis OR=1.3, 95%CI=1.0-1.7; multiple imputation OR=1.4, 95%CI=1.2-1.7), effects of other covariates, like BMI and breastfeeding, were only identified when multiple imputation was considered. A Traditional dietary pattern, BMI and breastfeeding are associated with the occurrence of breast cancer in this Argentinean population when multiple imputation is appropriately performed. Multiple Imputation is suggested in Latin America's epidemiologic studies to optimize effect estimates in the future.
Fil: Becaria Coquet, Julia. 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: Tumas, Natalia. 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: Osella, Alberto Rubén. Istituto di Ricerca e Cura a Carattere Scientifico. Laboratorio di Epidemiologia e Biostatistica; Italia
Fil: Tanzi, Matteo. Istituto di Ricerca e Cura a Carattere Scientifico. Laboratorio di Epidemiologia e Biostatistica; Italia
Fil: Franco, Isabella. Istituto di Ricerca e Cura a Carattere Scientifico. Laboratorio di Epidemiologia e Biostatistica; Italia
Fil: Diaz, Maria del Pilar. Universidad Nacional de Cordoba. Facultad de Medicina. Escuela de Nutrición; Argentina
Materia
Body Mass Index
Breastfeeding
Cancer Epidemiology
Dietary Pattern
Multiple Imputation
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:11336/58207
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Breast cancer and modifiable lifestyle factors in argentinean women: Addressing missing data in a case-control studyBecaria Coquet, JuliaTumas, NataliaOsella, Alberto RubénTanzi, MatteoFranco, IsabellaDiaz, Maria del PilarBody Mass IndexBreastfeedingCancer EpidemiologyDietary PatternMultiple Imputationhttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3A number of studies have evidenced the effect of modifiable lifestyle factors such as diet, breastfeeding and nutritional status on breast cancer risk. However, none have addressed the missing data problem in nutritional epidemiologic research in South America. Missing data is a frequent problem in breast cancer studies and epidemiological settings in general. Estimates of effect obtained from these studies may be biased, if no appropriate method for handling missing data is applied. We performed Multiple Imputation for missing values on covariates in a breast cancer case-control study of C�rdoba (Argentina) to optimize risk estimates. Data was obtained from a breast cancer case control study from 2008 to 2015 (318 cases, 526 controls). Complete case analysis and multiple imputation using chained equations were the methods applied to estimate the effects of a Traditional dietary pattern and other recognized factors associated with breast cancer. Physical activity and socioeconomic status were imputed. Logistic regression models were performed. When complete case analysis was performed only 31% of women were considered. Although a positive association of Traditional dietary pattern and breast cancer was observed from both approaches (complete case analysis OR=1.3, 95%CI=1.0-1.7; multiple imputation OR=1.4, 95%CI=1.2-1.7), effects of other covariates, like BMI and breastfeeding, were only identified when multiple imputation was considered. A Traditional dietary pattern, BMI and breastfeeding are associated with the occurrence of breast cancer in this Argentinean population when multiple imputation is appropriately performed. Multiple Imputation is suggested in Latin America's epidemiologic studies to optimize effect estimates in the future.Fil: Becaria Coquet, Julia. 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: Tumas, Natalia. 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: Osella, Alberto Rubén. Istituto di Ricerca e Cura a Carattere Scientifico. Laboratorio di Epidemiologia e Biostatistica; ItaliaFil: Tanzi, Matteo. Istituto di Ricerca e Cura a Carattere Scientifico. Laboratorio di Epidemiologia e Biostatistica; ItaliaFil: Franco, Isabella. Istituto di Ricerca e Cura a Carattere Scientifico. Laboratorio di Epidemiologia e Biostatistica; ItaliaFil: Diaz, Maria del Pilar. Universidad Nacional de Cordoba. Facultad de Medicina. Escuela de Nutrición; ArgentinaAsian Pacific Organization Cancer Prevention2016-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/58207Becaria Coquet, Julia; Tumas, Natalia; Osella, Alberto Rubén; Tanzi, Matteo; Franco, Isabella; et al.; Breast cancer and modifiable lifestyle factors in argentinean women: Addressing missing data in a case-control study; Asian Pacific Organization Cancer Prevention; Asian Pacific Journal of Cancer Prevention; 17; 10; 10-2016; 4567-45751513-73682476-762XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://bit.ly/2Ndgq8Winfo:eu-repo/semantics/altIdentifier/doi/10.7314/APJCP.2016.17.10.4567info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:41:01Zoai:ri.conicet.gov.ar:11336/58207instacron: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 10:41:01.584CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Breast cancer and modifiable lifestyle factors in argentinean women: Addressing missing data in a case-control study
title Breast cancer and modifiable lifestyle factors in argentinean women: Addressing missing data in a case-control study
spellingShingle Breast cancer and modifiable lifestyle factors in argentinean women: Addressing missing data in a case-control study
Becaria Coquet, Julia
Body Mass Index
Breastfeeding
Cancer Epidemiology
Dietary Pattern
Multiple Imputation
title_short Breast cancer and modifiable lifestyle factors in argentinean women: Addressing missing data in a case-control study
title_full Breast cancer and modifiable lifestyle factors in argentinean women: Addressing missing data in a case-control study
title_fullStr Breast cancer and modifiable lifestyle factors in argentinean women: Addressing missing data in a case-control study
title_full_unstemmed Breast cancer and modifiable lifestyle factors in argentinean women: Addressing missing data in a case-control study
title_sort Breast cancer and modifiable lifestyle factors in argentinean women: Addressing missing data in a case-control study
dc.creator.none.fl_str_mv Becaria Coquet, Julia
Tumas, Natalia
Osella, Alberto Rubén
Tanzi, Matteo
Franco, Isabella
Diaz, Maria del Pilar
author Becaria Coquet, Julia
author_facet Becaria Coquet, Julia
Tumas, Natalia
Osella, Alberto Rubén
Tanzi, Matteo
Franco, Isabella
Diaz, Maria del Pilar
author_role author
author2 Tumas, Natalia
Osella, Alberto Rubén
Tanzi, Matteo
Franco, Isabella
Diaz, Maria del Pilar
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Body Mass Index
Breastfeeding
Cancer Epidemiology
Dietary Pattern
Multiple Imputation
topic Body Mass Index
Breastfeeding
Cancer Epidemiology
Dietary Pattern
Multiple Imputation
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.3
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv A number of studies have evidenced the effect of modifiable lifestyle factors such as diet, breastfeeding and nutritional status on breast cancer risk. However, none have addressed the missing data problem in nutritional epidemiologic research in South America. Missing data is a frequent problem in breast cancer studies and epidemiological settings in general. Estimates of effect obtained from these studies may be biased, if no appropriate method for handling missing data is applied. We performed Multiple Imputation for missing values on covariates in a breast cancer case-control study of C�rdoba (Argentina) to optimize risk estimates. Data was obtained from a breast cancer case control study from 2008 to 2015 (318 cases, 526 controls). Complete case analysis and multiple imputation using chained equations were the methods applied to estimate the effects of a Traditional dietary pattern and other recognized factors associated with breast cancer. Physical activity and socioeconomic status were imputed. Logistic regression models were performed. When complete case analysis was performed only 31% of women were considered. Although a positive association of Traditional dietary pattern and breast cancer was observed from both approaches (complete case analysis OR=1.3, 95%CI=1.0-1.7; multiple imputation OR=1.4, 95%CI=1.2-1.7), effects of other covariates, like BMI and breastfeeding, were only identified when multiple imputation was considered. A Traditional dietary pattern, BMI and breastfeeding are associated with the occurrence of breast cancer in this Argentinean population when multiple imputation is appropriately performed. Multiple Imputation is suggested in Latin America's epidemiologic studies to optimize effect estimates in the future.
Fil: Becaria Coquet, Julia. 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: Tumas, Natalia. 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: Osella, Alberto Rubén. Istituto di Ricerca e Cura a Carattere Scientifico. Laboratorio di Epidemiologia e Biostatistica; Italia
Fil: Tanzi, Matteo. Istituto di Ricerca e Cura a Carattere Scientifico. Laboratorio di Epidemiologia e Biostatistica; Italia
Fil: Franco, Isabella. Istituto di Ricerca e Cura a Carattere Scientifico. Laboratorio di Epidemiologia e Biostatistica; Italia
Fil: Diaz, Maria del Pilar. Universidad Nacional de Cordoba. Facultad de Medicina. Escuela de Nutrición; Argentina
description A number of studies have evidenced the effect of modifiable lifestyle factors such as diet, breastfeeding and nutritional status on breast cancer risk. However, none have addressed the missing data problem in nutritional epidemiologic research in South America. Missing data is a frequent problem in breast cancer studies and epidemiological settings in general. Estimates of effect obtained from these studies may be biased, if no appropriate method for handling missing data is applied. We performed Multiple Imputation for missing values on covariates in a breast cancer case-control study of C�rdoba (Argentina) to optimize risk estimates. Data was obtained from a breast cancer case control study from 2008 to 2015 (318 cases, 526 controls). Complete case analysis and multiple imputation using chained equations were the methods applied to estimate the effects of a Traditional dietary pattern and other recognized factors associated with breast cancer. Physical activity and socioeconomic status were imputed. Logistic regression models were performed. When complete case analysis was performed only 31% of women were considered. Although a positive association of Traditional dietary pattern and breast cancer was observed from both approaches (complete case analysis OR=1.3, 95%CI=1.0-1.7; multiple imputation OR=1.4, 95%CI=1.2-1.7), effects of other covariates, like BMI and breastfeeding, were only identified when multiple imputation was considered. A Traditional dietary pattern, BMI and breastfeeding are associated with the occurrence of breast cancer in this Argentinean population when multiple imputation is appropriately performed. Multiple Imputation is suggested in Latin America's epidemiologic studies to optimize effect estimates in the future.
publishDate 2016
dc.date.none.fl_str_mv 2016-10
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/11336/58207
Becaria Coquet, Julia; Tumas, Natalia; Osella, Alberto Rubén; Tanzi, Matteo; Franco, Isabella; et al.; Breast cancer and modifiable lifestyle factors in argentinean women: Addressing missing data in a case-control study; Asian Pacific Organization Cancer Prevention; Asian Pacific Journal of Cancer Prevention; 17; 10; 10-2016; 4567-4575
1513-7368
2476-762X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/58207
identifier_str_mv Becaria Coquet, Julia; Tumas, Natalia; Osella, Alberto Rubén; Tanzi, Matteo; Franco, Isabella; et al.; Breast cancer and modifiable lifestyle factors in argentinean women: Addressing missing data in a case-control study; Asian Pacific Organization Cancer Prevention; Asian Pacific Journal of Cancer Prevention; 17; 10; 10-2016; 4567-4575
1513-7368
2476-762X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://bit.ly/2Ndgq8W
info:eu-repo/semantics/altIdentifier/doi/10.7314/APJCP.2016.17.10.4567
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
application/pdf
dc.publisher.none.fl_str_mv Asian Pacific Organization Cancer Prevention
publisher.none.fl_str_mv Asian Pacific Organization Cancer Prevention
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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