Impact of common cardio-metabolic risk factors on fatal and non-fatal cardiovascular disease in Latin America and the Caribbean: An individual-level pooled analysis of 31 cohort st...

Autores
Carrillo Larco, Rodrigo M.; Stern, Dalia; Hambleton, Ian R.; Hennis, Anselm; Cesare, Mariachiara Di; Lotufo, Paulo; Ferreccio, Catterina; Irazola, Vilma; Perel, Pablo; Gregg, Edward W; Miranda, J. Jaime; Ezzati, Majid; Danaei, Goodarz; Aguilar Salinas, Carlos A.; Alvarez Váz, Ramón; Amadio, Marselle B.; Baccino, Cecilia; Bambs, Claudia; Bastos, João Luiz; Beckles, Gloria; Bernabe Ortiz, Antonio; Bernardo, Carla DO; Bloch, Katia V.; Blümel, Juan E.; Boggia, Jose G.; Borges, Pollyanna K.; Bravo, Miguel; Brenes Camacho, Gilbert; Carbajal, Horacio A.; Castillo Rascón, María Susana
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Background: Estimates of the burden of cardio-metabolic risk factors in Latin America and the Caribbean (LAC) rely on relative risks (RRs) from non-LAC countries. Whether these RRs apply to LAC remains unknown. Methods: We pooled LAC cohorts. We estimated RRs per unit of exposure to body mass index (BMI), systolic blood pressure (SBP), fasting plasma glucose (FPG), total cholesterol (TC) and non-HDL cholesterol on fatal (31 cohorts, n=168,287) and non-fatal (13 cohorts, n=27,554) cardiovascular diseases, adjusting for regression dilution bias. We used these RRs and national data on mean risk factor levels to estimate the number of cardiovascular deaths attributable to non-optimal levels of each risk factor. Results: Our RRs for SBP, FPG and TC were like those observed in cohorts conducted in high-income countries; however, for BMI, our RRs were consistently smaller in people below 75 years of age. Across risk factors, we observed smaller RRs among older ages. Non-optimal SBP was responsible for the largest number of attributable cardiovascular deaths ranging from 38 per 100,000 women and 54 men in Peru, to 261 (Dominica, women) and 282 (Guyana, men). For non-HDL cholesterol, the lowest attributable rate was for women in Peru (21) and men in Guatemala (25), and the largest in men (158) and women (142) from Guyana. Interpretation: RRs for BMI from studies conducted in high-income countries may overestimate disease burden metrics in LAC; conversely, RRs for SBP, FPG and TC from LAC cohorts are similar to those estimated from cohorts in high-income countries. Funding: Wellcome Trust (214185/Z/18/Z)
Fil: Carrillo Larco, Rodrigo M.. Imperial College London; Reino Unido
Fil: Stern, Dalia. Instituto Nacional de Salud Publica (insp);
Fil: Hambleton, Ian R.. The University Of The West Indies; Barbados
Fil: Hennis, Anselm. Pan American Health Organization; Estados Unidos
Fil: Cesare, Mariachiara Di. Middlesex University; Reino Unido
Fil: Lotufo, Paulo. Universidade de Sao Paulo; Brasil
Fil: Ferreccio, Catterina. Pontificia Universidad Católica de Chile; Chile
Fil: Irazola, Vilma. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; Argentina. Instituto de Efectividad Clínica y Sanitaria; Argentina
Fil: Perel, Pablo. London School of Hygiene and Tropical Medicine; Reino Unido
Fil: Gregg, Edward W. Imperial College London; Reino Unido
Fil: Miranda, J. Jaime. Universidad Peruana Cayetano Heredia; Perú
Fil: Ezzati, Majid. Imperial College London; Reino Unido
Fil: Danaei, Goodarz. Harvard Medical School; Estados Unidos
Fil: Aguilar Salinas, Carlos A.. Instituto Nacional de Ciencias Médicas y Nutrición; México
Fil: Alvarez Váz, Ramón. Universidad de la República; Uruguay
Fil: Amadio, Marselle B.. Centro Universitario Senac Santo Amaro; Brasil
Fil: Baccino, Cecilia. Universidad de la República; Uruguay
Fil: Bambs, Claudia. Pontificia Universidad Católica de Chile; Chile
Fil: Bastos, João Luiz. Universidade Federal de Santa Catarina; Brasil
Fil: Beckles, Gloria. Centers for Disease Control and Prevention; Estados Unidos
Fil: Bernabe Ortiz, Antonio. Universidad Peruana Cayetano Heredia; Perú
Fil: Bernardo, Carla DO. University of Adelaide; Australia
Fil: Bloch, Katia V.. Universidade Federal do Rio de Janeiro; Brasil
Fil: Blümel, Juan E.. Universidad de Chile; Chile
Fil: Boggia, Jose G.. Universidad de la República; Uruguay
Fil: Borges, Pollyanna K.. Universidade Estadual do Ponta Grossa; Brasil
Fil: Bravo, Miguel. MELISA Institute; Chile
Fil: Brenes Camacho, Gilbert. Universidad de Costa Rica; Costa Rica
Fil: Carbajal, Horacio A.. Universidad Nacional de La Plata; Argentina
Fil: Castillo Rascón, María Susana. Universidad Nacional de Misiones; Argentina
Materia
Cardio-metabolic risk factors
Non-fatal cardiovascular disease
Latin America
Caribbean
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/212888

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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Impact of common cardio-metabolic risk factors on fatal and non-fatal cardiovascular disease in Latin America and the Caribbean: An individual-level pooled analysis of 31 cohort studiesCarrillo Larco, Rodrigo M.Stern, DaliaHambleton, Ian R.Hennis, AnselmCesare, Mariachiara DiLotufo, PauloFerreccio, CatterinaIrazola, VilmaPerel, PabloGregg, Edward WMiranda, J. JaimeEzzati, MajidDanaei, GoodarzAguilar Salinas, Carlos A.Alvarez Váz, RamónAmadio, Marselle B.Baccino, CeciliaBambs, ClaudiaBastos, João LuizBeckles, GloriaBernabe Ortiz, AntonioBernardo, Carla DOBloch, Katia V.Blümel, Juan E.Boggia, Jose G.Borges, Pollyanna K.Bravo, MiguelBrenes Camacho, GilbertCarbajal, Horacio A.Castillo Rascón, María SusanaCardio-metabolic risk factorsNon-fatal cardiovascular diseaseLatin AmericaCaribbeanhttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3Background: Estimates of the burden of cardio-metabolic risk factors in Latin America and the Caribbean (LAC) rely on relative risks (RRs) from non-LAC countries. Whether these RRs apply to LAC remains unknown. Methods: We pooled LAC cohorts. We estimated RRs per unit of exposure to body mass index (BMI), systolic blood pressure (SBP), fasting plasma glucose (FPG), total cholesterol (TC) and non-HDL cholesterol on fatal (31 cohorts, n=168,287) and non-fatal (13 cohorts, n=27,554) cardiovascular diseases, adjusting for regression dilution bias. We used these RRs and national data on mean risk factor levels to estimate the number of cardiovascular deaths attributable to non-optimal levels of each risk factor. Results: Our RRs for SBP, FPG and TC were like those observed in cohorts conducted in high-income countries; however, for BMI, our RRs were consistently smaller in people below 75 years of age. Across risk factors, we observed smaller RRs among older ages. Non-optimal SBP was responsible for the largest number of attributable cardiovascular deaths ranging from 38 per 100,000 women and 54 men in Peru, to 261 (Dominica, women) and 282 (Guyana, men). For non-HDL cholesterol, the lowest attributable rate was for women in Peru (21) and men in Guatemala (25), and the largest in men (158) and women (142) from Guyana. Interpretation: RRs for BMI from studies conducted in high-income countries may overestimate disease burden metrics in LAC; conversely, RRs for SBP, FPG and TC from LAC cohorts are similar to those estimated from cohorts in high-income countries. Funding: Wellcome Trust (214185/Z/18/Z)Fil: Carrillo Larco, Rodrigo M.. Imperial College London; Reino UnidoFil: Stern, Dalia. Instituto Nacional de Salud Publica (insp);Fil: Hambleton, Ian R.. The University Of The West Indies; BarbadosFil: Hennis, Anselm. Pan American Health Organization; Estados UnidosFil: Cesare, Mariachiara Di. Middlesex University; Reino UnidoFil: Lotufo, Paulo. Universidade de Sao Paulo; BrasilFil: Ferreccio, Catterina. Pontificia Universidad Católica de Chile; ChileFil: Irazola, Vilma. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; Argentina. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Perel, Pablo. London School of Hygiene and Tropical Medicine; Reino UnidoFil: Gregg, Edward W. Imperial College London; Reino UnidoFil: Miranda, J. Jaime. Universidad Peruana Cayetano Heredia; PerúFil: Ezzati, Majid. Imperial College London; Reino UnidoFil: Danaei, Goodarz. Harvard Medical School; Estados UnidosFil: Aguilar Salinas, Carlos A.. Instituto Nacional de Ciencias Médicas y Nutrición; MéxicoFil: Alvarez Váz, Ramón. Universidad de la República; UruguayFil: Amadio, Marselle B.. Centro Universitario Senac Santo Amaro; BrasilFil: Baccino, Cecilia. Universidad de la República; UruguayFil: Bambs, Claudia. Pontificia Universidad Católica de Chile; ChileFil: Bastos, João Luiz. Universidade Federal de Santa Catarina; BrasilFil: Beckles, Gloria. Centers for Disease Control and Prevention; Estados UnidosFil: Bernabe Ortiz, Antonio. Universidad Peruana Cayetano Heredia; PerúFil: Bernardo, Carla DO. University of Adelaide; AustraliaFil: Bloch, Katia V.. Universidade Federal do Rio de Janeiro; BrasilFil: Blümel, Juan E.. Universidad de Chile; ChileFil: Boggia, Jose G.. Universidad de la República; UruguayFil: Borges, Pollyanna K.. Universidade Estadual do Ponta Grossa; BrasilFil: Bravo, Miguel. MELISA Institute; ChileFil: Brenes Camacho, Gilbert. Universidad de Costa Rica; Costa RicaFil: Carbajal, Horacio A.. Universidad Nacional de La Plata; ArgentinaFil: Castillo Rascón, María Susana. Universidad Nacional de Misiones; ArgentinaElsevier2021-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/212888Carrillo Larco, Rodrigo M.; Stern, Dalia; Hambleton, Ian R.; Hennis, Anselm; Cesare, Mariachiara Di; et al.; Impact of common cardio-metabolic risk factors on fatal and non-fatal cardiovascular disease in Latin America and the Caribbean: An individual-level pooled analysis of 31 cohort studies; Elsevier; The Lancet Regional Health - Americas; 4; 100068; 9-2021; 1-122667-193XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.lana.2021.100068info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2667193X21000648info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:15:26Zoai:ri.conicet.gov.ar:11336/212888instacron: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 10:15:26.276CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Impact of common cardio-metabolic risk factors on fatal and non-fatal cardiovascular disease in Latin America and the Caribbean: An individual-level pooled analysis of 31 cohort studies
title Impact of common cardio-metabolic risk factors on fatal and non-fatal cardiovascular disease in Latin America and the Caribbean: An individual-level pooled analysis of 31 cohort studies
spellingShingle Impact of common cardio-metabolic risk factors on fatal and non-fatal cardiovascular disease in Latin America and the Caribbean: An individual-level pooled analysis of 31 cohort studies
Carrillo Larco, Rodrigo M.
Cardio-metabolic risk factors
Non-fatal cardiovascular disease
Latin America
Caribbean
title_short Impact of common cardio-metabolic risk factors on fatal and non-fatal cardiovascular disease in Latin America and the Caribbean: An individual-level pooled analysis of 31 cohort studies
title_full Impact of common cardio-metabolic risk factors on fatal and non-fatal cardiovascular disease in Latin America and the Caribbean: An individual-level pooled analysis of 31 cohort studies
title_fullStr Impact of common cardio-metabolic risk factors on fatal and non-fatal cardiovascular disease in Latin America and the Caribbean: An individual-level pooled analysis of 31 cohort studies
title_full_unstemmed Impact of common cardio-metabolic risk factors on fatal and non-fatal cardiovascular disease in Latin America and the Caribbean: An individual-level pooled analysis of 31 cohort studies
title_sort Impact of common cardio-metabolic risk factors on fatal and non-fatal cardiovascular disease in Latin America and the Caribbean: An individual-level pooled analysis of 31 cohort studies
dc.creator.none.fl_str_mv Carrillo Larco, Rodrigo M.
Stern, Dalia
Hambleton, Ian R.
Hennis, Anselm
Cesare, Mariachiara Di
Lotufo, Paulo
Ferreccio, Catterina
Irazola, Vilma
Perel, Pablo
Gregg, Edward W
Miranda, J. Jaime
Ezzati, Majid
Danaei, Goodarz
Aguilar Salinas, Carlos A.
Alvarez Váz, Ramón
Amadio, Marselle B.
Baccino, Cecilia
Bambs, Claudia
Bastos, João Luiz
Beckles, Gloria
Bernabe Ortiz, Antonio
Bernardo, Carla DO
Bloch, Katia V.
Blümel, Juan E.
Boggia, Jose G.
Borges, Pollyanna K.
Bravo, Miguel
Brenes Camacho, Gilbert
Carbajal, Horacio A.
Castillo Rascón, María Susana
author Carrillo Larco, Rodrigo M.
author_facet Carrillo Larco, Rodrigo M.
Stern, Dalia
Hambleton, Ian R.
Hennis, Anselm
Cesare, Mariachiara Di
Lotufo, Paulo
Ferreccio, Catterina
Irazola, Vilma
Perel, Pablo
Gregg, Edward W
Miranda, J. Jaime
Ezzati, Majid
Danaei, Goodarz
Aguilar Salinas, Carlos A.
Alvarez Váz, Ramón
Amadio, Marselle B.
Baccino, Cecilia
Bambs, Claudia
Bastos, João Luiz
Beckles, Gloria
Bernabe Ortiz, Antonio
Bernardo, Carla DO
Bloch, Katia V.
Blümel, Juan E.
Boggia, Jose G.
Borges, Pollyanna K.
Bravo, Miguel
Brenes Camacho, Gilbert
Carbajal, Horacio A.
Castillo Rascón, María Susana
author_role author
author2 Stern, Dalia
Hambleton, Ian R.
Hennis, Anselm
Cesare, Mariachiara Di
Lotufo, Paulo
Ferreccio, Catterina
Irazola, Vilma
Perel, Pablo
Gregg, Edward W
Miranda, J. Jaime
Ezzati, Majid
Danaei, Goodarz
Aguilar Salinas, Carlos A.
Alvarez Váz, Ramón
Amadio, Marselle B.
Baccino, Cecilia
Bambs, Claudia
Bastos, João Luiz
Beckles, Gloria
Bernabe Ortiz, Antonio
Bernardo, Carla DO
Bloch, Katia V.
Blümel, Juan E.
Boggia, Jose G.
Borges, Pollyanna K.
Bravo, Miguel
Brenes Camacho, Gilbert
Carbajal, Horacio A.
Castillo Rascón, María Susana
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Cardio-metabolic risk factors
Non-fatal cardiovascular disease
Latin America
Caribbean
topic Cardio-metabolic risk factors
Non-fatal cardiovascular disease
Latin America
Caribbean
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.3
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Background: Estimates of the burden of cardio-metabolic risk factors in Latin America and the Caribbean (LAC) rely on relative risks (RRs) from non-LAC countries. Whether these RRs apply to LAC remains unknown. Methods: We pooled LAC cohorts. We estimated RRs per unit of exposure to body mass index (BMI), systolic blood pressure (SBP), fasting plasma glucose (FPG), total cholesterol (TC) and non-HDL cholesterol on fatal (31 cohorts, n=168,287) and non-fatal (13 cohorts, n=27,554) cardiovascular diseases, adjusting for regression dilution bias. We used these RRs and national data on mean risk factor levels to estimate the number of cardiovascular deaths attributable to non-optimal levels of each risk factor. Results: Our RRs for SBP, FPG and TC were like those observed in cohorts conducted in high-income countries; however, for BMI, our RRs were consistently smaller in people below 75 years of age. Across risk factors, we observed smaller RRs among older ages. Non-optimal SBP was responsible for the largest number of attributable cardiovascular deaths ranging from 38 per 100,000 women and 54 men in Peru, to 261 (Dominica, women) and 282 (Guyana, men). For non-HDL cholesterol, the lowest attributable rate was for women in Peru (21) and men in Guatemala (25), and the largest in men (158) and women (142) from Guyana. Interpretation: RRs for BMI from studies conducted in high-income countries may overestimate disease burden metrics in LAC; conversely, RRs for SBP, FPG and TC from LAC cohorts are similar to those estimated from cohorts in high-income countries. Funding: Wellcome Trust (214185/Z/18/Z)
Fil: Carrillo Larco, Rodrigo M.. Imperial College London; Reino Unido
Fil: Stern, Dalia. Instituto Nacional de Salud Publica (insp);
Fil: Hambleton, Ian R.. The University Of The West Indies; Barbados
Fil: Hennis, Anselm. Pan American Health Organization; Estados Unidos
Fil: Cesare, Mariachiara Di. Middlesex University; Reino Unido
Fil: Lotufo, Paulo. Universidade de Sao Paulo; Brasil
Fil: Ferreccio, Catterina. Pontificia Universidad Católica de Chile; Chile
Fil: Irazola, Vilma. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; Argentina. Instituto de Efectividad Clínica y Sanitaria; Argentina
Fil: Perel, Pablo. London School of Hygiene and Tropical Medicine; Reino Unido
Fil: Gregg, Edward W. Imperial College London; Reino Unido
Fil: Miranda, J. Jaime. Universidad Peruana Cayetano Heredia; Perú
Fil: Ezzati, Majid. Imperial College London; Reino Unido
Fil: Danaei, Goodarz. Harvard Medical School; Estados Unidos
Fil: Aguilar Salinas, Carlos A.. Instituto Nacional de Ciencias Médicas y Nutrición; México
Fil: Alvarez Váz, Ramón. Universidad de la República; Uruguay
Fil: Amadio, Marselle B.. Centro Universitario Senac Santo Amaro; Brasil
Fil: Baccino, Cecilia. Universidad de la República; Uruguay
Fil: Bambs, Claudia. Pontificia Universidad Católica de Chile; Chile
Fil: Bastos, João Luiz. Universidade Federal de Santa Catarina; Brasil
Fil: Beckles, Gloria. Centers for Disease Control and Prevention; Estados Unidos
Fil: Bernabe Ortiz, Antonio. Universidad Peruana Cayetano Heredia; Perú
Fil: Bernardo, Carla DO. University of Adelaide; Australia
Fil: Bloch, Katia V.. Universidade Federal do Rio de Janeiro; Brasil
Fil: Blümel, Juan E.. Universidad de Chile; Chile
Fil: Boggia, Jose G.. Universidad de la República; Uruguay
Fil: Borges, Pollyanna K.. Universidade Estadual do Ponta Grossa; Brasil
Fil: Bravo, Miguel. MELISA Institute; Chile
Fil: Brenes Camacho, Gilbert. Universidad de Costa Rica; Costa Rica
Fil: Carbajal, Horacio A.. Universidad Nacional de La Plata; Argentina
Fil: Castillo Rascón, María Susana. Universidad Nacional de Misiones; Argentina
description Background: Estimates of the burden of cardio-metabolic risk factors in Latin America and the Caribbean (LAC) rely on relative risks (RRs) from non-LAC countries. Whether these RRs apply to LAC remains unknown. Methods: We pooled LAC cohorts. We estimated RRs per unit of exposure to body mass index (BMI), systolic blood pressure (SBP), fasting plasma glucose (FPG), total cholesterol (TC) and non-HDL cholesterol on fatal (31 cohorts, n=168,287) and non-fatal (13 cohorts, n=27,554) cardiovascular diseases, adjusting for regression dilution bias. We used these RRs and national data on mean risk factor levels to estimate the number of cardiovascular deaths attributable to non-optimal levels of each risk factor. Results: Our RRs for SBP, FPG and TC were like those observed in cohorts conducted in high-income countries; however, for BMI, our RRs were consistently smaller in people below 75 years of age. Across risk factors, we observed smaller RRs among older ages. Non-optimal SBP was responsible for the largest number of attributable cardiovascular deaths ranging from 38 per 100,000 women and 54 men in Peru, to 261 (Dominica, women) and 282 (Guyana, men). For non-HDL cholesterol, the lowest attributable rate was for women in Peru (21) and men in Guatemala (25), and the largest in men (158) and women (142) from Guyana. Interpretation: RRs for BMI from studies conducted in high-income countries may overestimate disease burden metrics in LAC; conversely, RRs for SBP, FPG and TC from LAC cohorts are similar to those estimated from cohorts in high-income countries. Funding: Wellcome Trust (214185/Z/18/Z)
publishDate 2021
dc.date.none.fl_str_mv 2021-09
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/11336/212888
Carrillo Larco, Rodrigo M.; Stern, Dalia; Hambleton, Ian R.; Hennis, Anselm; Cesare, Mariachiara Di; et al.; Impact of common cardio-metabolic risk factors on fatal and non-fatal cardiovascular disease in Latin America and the Caribbean: An individual-level pooled analysis of 31 cohort studies; Elsevier; The Lancet Regional Health - Americas; 4; 100068; 9-2021; 1-12
2667-193X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/212888
identifier_str_mv Carrillo Larco, Rodrigo M.; Stern, Dalia; Hambleton, Ian R.; Hennis, Anselm; Cesare, Mariachiara Di; et al.; Impact of common cardio-metabolic risk factors on fatal and non-fatal cardiovascular disease in Latin America and the Caribbean: An individual-level pooled analysis of 31 cohort studies; Elsevier; The Lancet Regional Health - Americas; 4; 100068; 9-2021; 1-12
2667-193X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.lana.2021.100068
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2667193X21000648
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
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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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