Repositioning of the global epicentre of non-optimal cholesterol

Autores
Irazola, Vilma; Rubinstein, Adolfo Luis; Taddei, Cristina; Zhou, Bin; Bixby, Honor; Carrillo Larco, Rodrigo M.; Danaei, Goodarz; Jackson, Rod T.; Farzadfar, Farshad; Sophiea, Marisa K; Di Cesare, Mariachiara; Asghari, Golaleh; Dhana, Klodian; Gulayin, Pablo Elías; Kakarmath, Sujay; Santero, Marilina; Voortman, Trudy; Riley, Leanne M.; Cowan, Melanie J.; Savin, Stefan; Bennett, James E.; Stevens, Gretchen A.; Paciorek, Christopher J.; Aekplakorn, Wichai; Cifkova, Renata; Giampaoli, Simona; Kengne, Andre Pascal; Khang, Young Ho; Kuulasmaa, Kari; Laxmaiah, Avula
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
High blood cholesterol is typically considered a feature of wealthy western countries1,2. However, dietary and behavioural determinants of blood cholesterol are changing rapidly throughout the world3 and countries are using lipid-lowering medications at varying rates. These changes can have distinct effects on the levels of high-density lipoprotein (HDL) cholesterol and non-HDL cholesterol, which have different effects on human health4,5. However, the trends of HDL and non-HDL cholesterol levels over time have not been previously reported in a global analysis. Here we pooled 1,127 population-based studies that measured blood lipids in 102.6 million individuals aged 18 years and older to estimate trends from 1980 to 2018 in mean total, non-HDL and HDL cholesterol levels for 200 countries. Globally, there was little change in total or non-HDL cholesterol from 1980 to 2018. This was a net effect of increases in low- and middle-income countries, especially in east and southeast Asia, and decreases in high-income western countries, especially those in northwestern Europe, and in central and eastern Europe. As a result, countries with the highest level of non-HDL cholesterol-which is a marker of cardiovascular risk-changed from those in western Europe such as Belgium, Finland, Greenland, Iceland, Norway, Sweden, Switzerland and Malta in 1980 to those in Asia and the Pacific, such as Tokelau, Malaysia, The Philippines and Thailand. In 2017, high non-HDL cholesterol was responsible for an estimated 3.9 million (95% credible interval 3.7 million-4.2 million) worldwide deaths, half of which occurred in east, southeast and south Asia. The global repositioning of lipid-related risk, with non-optimal cholesterol shifting from a distinct feature of high-income countries in northwestern Europe, north America and Australasia to one that affects countries in east and southeast Asia and Oceania should motivate the use of population-based policies and personal interventions to improve nutrition and enhance access to treatment throughout the world.
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
Fil: Rubinstein, Adolfo Luis. 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
Fil: Taddei, Cristina. No especifíca;
Fil: Zhou, Bin. No especifíca;
Fil: Bixby, Honor. No especifíca;
Fil: Carrillo Larco, Rodrigo M.. No especifíca;
Fil: Danaei, Goodarz. No especifíca;
Fil: Jackson, Rod T.. No especifíca;
Fil: Farzadfar, Farshad. No especifíca;
Fil: Sophiea, Marisa K. No especifíca;
Fil: Di Cesare, Mariachiara. No especifíca;
Fil: Asghari, Golaleh. No especifíca;
Fil: Dhana, Klodian. No especifíca;
Fil: Gulayin, Pablo Elías. Instituto de Efectividad Clínica y Sanitaria; Argentina
Fil: Kakarmath, Sujay. No especifíca;
Fil: Santero, Marilina. Instituto de Efectividad Clínica y Sanitaria; Argentina
Fil: Voortman, Trudy. No especifíca;
Fil: Riley, Leanne M.. No especifíca;
Fil: Cowan, Melanie J.. No especifíca;
Fil: Savin, Stefan. No especifíca;
Fil: Bennett, James E.. No especifíca;
Fil: Stevens, Gretchen A.. No especifíca;
Fil: Paciorek, Christopher J.. No especifíca;
Fil: Aekplakorn, Wichai. No especifíca;
Fil: Cifkova, Renata. No especifíca;
Fil: Giampaoli, Simona. No especifíca;
Fil: Kengne, Andre Pascal. No especifíca;
Fil: Khang, Young Ho. No especifíca;
Fil: Kuulasmaa, Kari. No especifíca;
Fil: Laxmaiah, Avula. No especifíca;
Materia
Repositioning
epicentre
non-optimal cholesterol
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:11336/142685

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network_name_str CONICET Digital (CONICET)
spelling Repositioning of the global epicentre of non-optimal cholesterolIrazola, VilmaRubinstein, Adolfo LuisTaddei, CristinaZhou, BinBixby, HonorCarrillo Larco, Rodrigo M.Danaei, GoodarzJackson, Rod T.Farzadfar, FarshadSophiea, Marisa KDi Cesare, MariachiaraAsghari, GolalehDhana, KlodianGulayin, Pablo ElíasKakarmath, SujaySantero, MarilinaVoortman, TrudyRiley, Leanne M.Cowan, Melanie J.Savin, StefanBennett, James E.Stevens, Gretchen A.Paciorek, Christopher J.Aekplakorn, WichaiCifkova, RenataGiampaoli, SimonaKengne, Andre PascalKhang, Young HoKuulasmaa, KariLaxmaiah, AvulaRepositioningepicentrenon-optimal cholesterolhttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3High blood cholesterol is typically considered a feature of wealthy western countries1,2. However, dietary and behavioural determinants of blood cholesterol are changing rapidly throughout the world3 and countries are using lipid-lowering medications at varying rates. These changes can have distinct effects on the levels of high-density lipoprotein (HDL) cholesterol and non-HDL cholesterol, which have different effects on human health4,5. However, the trends of HDL and non-HDL cholesterol levels over time have not been previously reported in a global analysis. Here we pooled 1,127 population-based studies that measured blood lipids in 102.6 million individuals aged 18 years and older to estimate trends from 1980 to 2018 in mean total, non-HDL and HDL cholesterol levels for 200 countries. Globally, there was little change in total or non-HDL cholesterol from 1980 to 2018. This was a net effect of increases in low- and middle-income countries, especially in east and southeast Asia, and decreases in high-income western countries, especially those in northwestern Europe, and in central and eastern Europe. As a result, countries with the highest level of non-HDL cholesterol-which is a marker of cardiovascular risk-changed from those in western Europe such as Belgium, Finland, Greenland, Iceland, Norway, Sweden, Switzerland and Malta in 1980 to those in Asia and the Pacific, such as Tokelau, Malaysia, The Philippines and Thailand. In 2017, high non-HDL cholesterol was responsible for an estimated 3.9 million (95% credible interval 3.7 million-4.2 million) worldwide deaths, half of which occurred in east, southeast and south Asia. The global repositioning of lipid-related risk, with non-optimal cholesterol shifting from a distinct feature of high-income countries in northwestern Europe, north America and Australasia to one that affects countries in east and southeast Asia and Oceania should motivate the use of population-based policies and personal interventions to improve nutrition and enhance access to treatment throughout the world.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; ArgentinaFil: Rubinstein, Adolfo Luis. 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; ArgentinaFil: Taddei, Cristina. No especifíca;Fil: Zhou, Bin. No especifíca;Fil: Bixby, Honor. No especifíca;Fil: Carrillo Larco, Rodrigo M.. No especifíca;Fil: Danaei, Goodarz. No especifíca;Fil: Jackson, Rod T.. No especifíca;Fil: Farzadfar, Farshad. No especifíca;Fil: Sophiea, Marisa K. No especifíca;Fil: Di Cesare, Mariachiara. No especifíca;Fil: Asghari, Golaleh. No especifíca;Fil: Dhana, Klodian. No especifíca;Fil: Gulayin, Pablo Elías. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Kakarmath, Sujay. No especifíca;Fil: Santero, Marilina. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Voortman, Trudy. No especifíca;Fil: Riley, Leanne M.. No especifíca;Fil: Cowan, Melanie J.. No especifíca;Fil: Savin, Stefan. No especifíca;Fil: Bennett, James E.. No especifíca;Fil: Stevens, Gretchen A.. No especifíca;Fil: Paciorek, Christopher J.. No especifíca;Fil: Aekplakorn, Wichai. No especifíca;Fil: Cifkova, Renata. No especifíca;Fil: Giampaoli, Simona. No especifíca;Fil: Kengne, Andre Pascal. No especifíca;Fil: Khang, Young Ho. No especifíca;Fil: Kuulasmaa, Kari. No especifíca;Fil: Laxmaiah, Avula. No especifíca;Nature Publishing Group2020-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/142685Irazola, Vilma; Rubinstein, Adolfo Luis; Taddei, Cristina; Zhou, Bin; Bixby, Honor; et al.; Repositioning of the global epicentre of non-optimal cholesterol; Nature Publishing Group; Nature; 582; 7810; 6-2020; 73-770028-0836CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.nature.com/articles/s41586-020-2338-1info:eu-repo/semantics/altIdentifier/doi/10.1038/s41586-020-2338-1info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:46:37Zoai:ri.conicet.gov.ar:11336/142685instacron: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:34982025-09-03 09:46:37.323CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Repositioning of the global epicentre of non-optimal cholesterol
title Repositioning of the global epicentre of non-optimal cholesterol
spellingShingle Repositioning of the global epicentre of non-optimal cholesterol
Irazola, Vilma
Repositioning
epicentre
non-optimal cholesterol
title_short Repositioning of the global epicentre of non-optimal cholesterol
title_full Repositioning of the global epicentre of non-optimal cholesterol
title_fullStr Repositioning of the global epicentre of non-optimal cholesterol
title_full_unstemmed Repositioning of the global epicentre of non-optimal cholesterol
title_sort Repositioning of the global epicentre of non-optimal cholesterol
dc.creator.none.fl_str_mv Irazola, Vilma
Rubinstein, Adolfo Luis
Taddei, Cristina
Zhou, Bin
Bixby, Honor
Carrillo Larco, Rodrigo M.
Danaei, Goodarz
Jackson, Rod T.
Farzadfar, Farshad
Sophiea, Marisa K
Di Cesare, Mariachiara
Asghari, Golaleh
Dhana, Klodian
Gulayin, Pablo Elías
Kakarmath, Sujay
Santero, Marilina
Voortman, Trudy
Riley, Leanne M.
Cowan, Melanie J.
Savin, Stefan
Bennett, James E.
Stevens, Gretchen A.
Paciorek, Christopher J.
Aekplakorn, Wichai
Cifkova, Renata
Giampaoli, Simona
Kengne, Andre Pascal
Khang, Young Ho
Kuulasmaa, Kari
Laxmaiah, Avula
author Irazola, Vilma
author_facet Irazola, Vilma
Rubinstein, Adolfo Luis
Taddei, Cristina
Zhou, Bin
Bixby, Honor
Carrillo Larco, Rodrigo M.
Danaei, Goodarz
Jackson, Rod T.
Farzadfar, Farshad
Sophiea, Marisa K
Di Cesare, Mariachiara
Asghari, Golaleh
Dhana, Klodian
Gulayin, Pablo Elías
Kakarmath, Sujay
Santero, Marilina
Voortman, Trudy
Riley, Leanne M.
Cowan, Melanie J.
Savin, Stefan
Bennett, James E.
Stevens, Gretchen A.
Paciorek, Christopher J.
Aekplakorn, Wichai
Cifkova, Renata
Giampaoli, Simona
Kengne, Andre Pascal
Khang, Young Ho
Kuulasmaa, Kari
Laxmaiah, Avula
author_role author
author2 Rubinstein, Adolfo Luis
Taddei, Cristina
Zhou, Bin
Bixby, Honor
Carrillo Larco, Rodrigo M.
Danaei, Goodarz
Jackson, Rod T.
Farzadfar, Farshad
Sophiea, Marisa K
Di Cesare, Mariachiara
Asghari, Golaleh
Dhana, Klodian
Gulayin, Pablo Elías
Kakarmath, Sujay
Santero, Marilina
Voortman, Trudy
Riley, Leanne M.
Cowan, Melanie J.
Savin, Stefan
Bennett, James E.
Stevens, Gretchen A.
Paciorek, Christopher J.
Aekplakorn, Wichai
Cifkova, Renata
Giampaoli, Simona
Kengne, Andre Pascal
Khang, Young Ho
Kuulasmaa, Kari
Laxmaiah, Avula
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 Repositioning
epicentre
non-optimal cholesterol
topic Repositioning
epicentre
non-optimal cholesterol
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.3
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv High blood cholesterol is typically considered a feature of wealthy western countries1,2. However, dietary and behavioural determinants of blood cholesterol are changing rapidly throughout the world3 and countries are using lipid-lowering medications at varying rates. These changes can have distinct effects on the levels of high-density lipoprotein (HDL) cholesterol and non-HDL cholesterol, which have different effects on human health4,5. However, the trends of HDL and non-HDL cholesterol levels over time have not been previously reported in a global analysis. Here we pooled 1,127 population-based studies that measured blood lipids in 102.6 million individuals aged 18 years and older to estimate trends from 1980 to 2018 in mean total, non-HDL and HDL cholesterol levels for 200 countries. Globally, there was little change in total or non-HDL cholesterol from 1980 to 2018. This was a net effect of increases in low- and middle-income countries, especially in east and southeast Asia, and decreases in high-income western countries, especially those in northwestern Europe, and in central and eastern Europe. As a result, countries with the highest level of non-HDL cholesterol-which is a marker of cardiovascular risk-changed from those in western Europe such as Belgium, Finland, Greenland, Iceland, Norway, Sweden, Switzerland and Malta in 1980 to those in Asia and the Pacific, such as Tokelau, Malaysia, The Philippines and Thailand. In 2017, high non-HDL cholesterol was responsible for an estimated 3.9 million (95% credible interval 3.7 million-4.2 million) worldwide deaths, half of which occurred in east, southeast and south Asia. The global repositioning of lipid-related risk, with non-optimal cholesterol shifting from a distinct feature of high-income countries in northwestern Europe, north America and Australasia to one that affects countries in east and southeast Asia and Oceania should motivate the use of population-based policies and personal interventions to improve nutrition and enhance access to treatment throughout the world.
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
Fil: Rubinstein, Adolfo Luis. 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
Fil: Taddei, Cristina. No especifíca;
Fil: Zhou, Bin. No especifíca;
Fil: Bixby, Honor. No especifíca;
Fil: Carrillo Larco, Rodrigo M.. No especifíca;
Fil: Danaei, Goodarz. No especifíca;
Fil: Jackson, Rod T.. No especifíca;
Fil: Farzadfar, Farshad. No especifíca;
Fil: Sophiea, Marisa K. No especifíca;
Fil: Di Cesare, Mariachiara. No especifíca;
Fil: Asghari, Golaleh. No especifíca;
Fil: Dhana, Klodian. No especifíca;
Fil: Gulayin, Pablo Elías. Instituto de Efectividad Clínica y Sanitaria; Argentina
Fil: Kakarmath, Sujay. No especifíca;
Fil: Santero, Marilina. Instituto de Efectividad Clínica y Sanitaria; Argentina
Fil: Voortman, Trudy. No especifíca;
Fil: Riley, Leanne M.. No especifíca;
Fil: Cowan, Melanie J.. No especifíca;
Fil: Savin, Stefan. No especifíca;
Fil: Bennett, James E.. No especifíca;
Fil: Stevens, Gretchen A.. No especifíca;
Fil: Paciorek, Christopher J.. No especifíca;
Fil: Aekplakorn, Wichai. No especifíca;
Fil: Cifkova, Renata. No especifíca;
Fil: Giampaoli, Simona. No especifíca;
Fil: Kengne, Andre Pascal. No especifíca;
Fil: Khang, Young Ho. No especifíca;
Fil: Kuulasmaa, Kari. No especifíca;
Fil: Laxmaiah, Avula. No especifíca;
description High blood cholesterol is typically considered a feature of wealthy western countries1,2. However, dietary and behavioural determinants of blood cholesterol are changing rapidly throughout the world3 and countries are using lipid-lowering medications at varying rates. These changes can have distinct effects on the levels of high-density lipoprotein (HDL) cholesterol and non-HDL cholesterol, which have different effects on human health4,5. However, the trends of HDL and non-HDL cholesterol levels over time have not been previously reported in a global analysis. Here we pooled 1,127 population-based studies that measured blood lipids in 102.6 million individuals aged 18 years and older to estimate trends from 1980 to 2018 in mean total, non-HDL and HDL cholesterol levels for 200 countries. Globally, there was little change in total or non-HDL cholesterol from 1980 to 2018. This was a net effect of increases in low- and middle-income countries, especially in east and southeast Asia, and decreases in high-income western countries, especially those in northwestern Europe, and in central and eastern Europe. As a result, countries with the highest level of non-HDL cholesterol-which is a marker of cardiovascular risk-changed from those in western Europe such as Belgium, Finland, Greenland, Iceland, Norway, Sweden, Switzerland and Malta in 1980 to those in Asia and the Pacific, such as Tokelau, Malaysia, The Philippines and Thailand. In 2017, high non-HDL cholesterol was responsible for an estimated 3.9 million (95% credible interval 3.7 million-4.2 million) worldwide deaths, half of which occurred in east, southeast and south Asia. The global repositioning of lipid-related risk, with non-optimal cholesterol shifting from a distinct feature of high-income countries in northwestern Europe, north America and Australasia to one that affects countries in east and southeast Asia and Oceania should motivate the use of population-based policies and personal interventions to improve nutrition and enhance access to treatment throughout the world.
publishDate 2020
dc.date.none.fl_str_mv 2020-06
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/11336/142685
Irazola, Vilma; Rubinstein, Adolfo Luis; Taddei, Cristina; Zhou, Bin; Bixby, Honor; et al.; Repositioning of the global epicentre of non-optimal cholesterol; Nature Publishing Group; Nature; 582; 7810; 6-2020; 73-77
0028-0836
CONICET Digital
CONICET
url http://hdl.handle.net/11336/142685
identifier_str_mv Irazola, Vilma; Rubinstein, Adolfo Luis; Taddei, Cristina; Zhou, Bin; Bixby, Honor; et al.; Repositioning of the global epicentre of non-optimal cholesterol; Nature Publishing Group; Nature; 582; 7810; 6-2020; 73-77
0028-0836
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://www.nature.com/articles/s41586-020-2338-1
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41586-020-2338-1
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 Nature Publishing Group
publisher.none.fl_str_mv Nature Publishing Group
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
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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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