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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/142685
Ver los metadatos del registro completo
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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 |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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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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13.13397 |