Sex and Socioeconomic Disparities in Dementia Risk: A Population-Attributable Fraction Analysis in Argentina

Autores
Calandri, Ismael Luis; Livingston, Gill; Paradela, Regina; Ossenkoppele, Rik; Crivelli, Lucía; Allegri, Ricardo Francisco; Suemoto, Claudia K.
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Introduction: Twelve modifiable risk factors (RFs) account for 40% of dementia cases worldwide. However, limited data exist on such factors in middle- and low-income countries. We aimed to estimate the population-attributable fractions (PAFs) for the 12 RFs in Argentina, assessing changes over a decade and exploring socioeconomic and sex influences. Methods: We conducted cross-sectional analyses of the 12 RFs from Argentinian surveys conducted in 2009, 2015, and 2018, including 96,321 people. We calculated PAFs and stratified estimates based on sex and income. Results: We estimated an overall PAF of 59.6% (95% CI = 58.9–60.3%). The largest PAFs were hypertension = 9.3% (8.7–9.9%), physical inactivity = 7.4% (6.8–8.2%), and obesity = 7.4% (6.8–7.9%). Men were more impacted by excessive alcohol, while women by isolation and smoking. Lower income linked to higher PAFs in education, hypertension, and obesity. Discussion: Argentina has a higher PAF for dementia than the world population, with distinct RF distribution. PAF varied by sex and economic status, advocating tailored prevention strategies.
Fil: Calandri, Ismael Luis. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Livingston, Gill. University College London; Estados Unidos
Fil: Paradela, Regina. Universidade de Sao Paulo; Brasil
Fil: Ossenkoppele, Rik. Vrije Universiteit Amsterdam; Países Bajos
Fil: Crivelli, Lucía. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia. Instituto de Neurociencias - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Neurociencias; Argentina
Fil: Allegri, Ricardo Francisco. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia. Instituto de Neurociencias - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Neurociencias; Argentina
Fil: Suemoto, Claudia K.. Universidade de Sao Paulo; Brasil
Materia
Demencia
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
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oai:ri.conicet.gov.ar:11336/262942
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spelling Sex and Socioeconomic Disparities in Dementia Risk: A Population-Attributable Fraction Analysis in ArgentinaCalandri, Ismael LuisLivingston, GillParadela, ReginaOssenkoppele, RikCrivelli, LucíaAllegri, Ricardo FranciscoSuemoto, Claudia K.Demenciahttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3Introduction: Twelve modifiable risk factors (RFs) account for 40% of dementia cases worldwide. However, limited data exist on such factors in middle- and low-income countries. We aimed to estimate the population-attributable fractions (PAFs) for the 12 RFs in Argentina, assessing changes over a decade and exploring socioeconomic and sex influences. Methods: We conducted cross-sectional analyses of the 12 RFs from Argentinian surveys conducted in 2009, 2015, and 2018, including 96,321 people. We calculated PAFs and stratified estimates based on sex and income. Results: We estimated an overall PAF of 59.6% (95% CI = 58.9–60.3%). The largest PAFs were hypertension = 9.3% (8.7–9.9%), physical inactivity = 7.4% (6.8–8.2%), and obesity = 7.4% (6.8–7.9%). Men were more impacted by excessive alcohol, while women by isolation and smoking. Lower income linked to higher PAFs in education, hypertension, and obesity. Discussion: Argentina has a higher PAF for dementia than the world population, with distinct RF distribution. PAF varied by sex and economic status, advocating tailored prevention strategies.Fil: Calandri, Ismael Luis. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; ArgentinaFil: Livingston, Gill. University College London; Estados UnidosFil: Paradela, Regina. Universidade de Sao Paulo; BrasilFil: Ossenkoppele, Rik. Vrije Universiteit Amsterdam; Países BajosFil: Crivelli, Lucía. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia. Instituto de Neurociencias - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Neurociencias; ArgentinaFil: Allegri, Ricardo Francisco. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia. Instituto de Neurociencias - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Neurociencias; ArgentinaFil: Suemoto, Claudia K.. Universidade de Sao Paulo; BrasilKarger2024-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/262942Calandri, Ismael Luis; Livingston, Gill; Paradela, Regina; Ossenkoppele, Rik; Crivelli, Lucía; et al.; Sex and Socioeconomic Disparities in Dementia Risk: A Population-Attributable Fraction Analysis in Argentina; Karger; Neuroepidemiology.; 58; 4; 1-2024; 264-2750251-5350CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://karger.com/NED/article/doi/10.1159/000536524info:eu-repo/semantics/altIdentifier/doi/10.1159/000536524info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:57:07Zoai:ri.conicet.gov.ar:11336/262942instacron: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 09:57:07.728CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Sex and Socioeconomic Disparities in Dementia Risk: A Population-Attributable Fraction Analysis in Argentina
title Sex and Socioeconomic Disparities in Dementia Risk: A Population-Attributable Fraction Analysis in Argentina
spellingShingle Sex and Socioeconomic Disparities in Dementia Risk: A Population-Attributable Fraction Analysis in Argentina
Calandri, Ismael Luis
Demencia
title_short Sex and Socioeconomic Disparities in Dementia Risk: A Population-Attributable Fraction Analysis in Argentina
title_full Sex and Socioeconomic Disparities in Dementia Risk: A Population-Attributable Fraction Analysis in Argentina
title_fullStr Sex and Socioeconomic Disparities in Dementia Risk: A Population-Attributable Fraction Analysis in Argentina
title_full_unstemmed Sex and Socioeconomic Disparities in Dementia Risk: A Population-Attributable Fraction Analysis in Argentina
title_sort Sex and Socioeconomic Disparities in Dementia Risk: A Population-Attributable Fraction Analysis in Argentina
dc.creator.none.fl_str_mv Calandri, Ismael Luis
Livingston, Gill
Paradela, Regina
Ossenkoppele, Rik
Crivelli, Lucía
Allegri, Ricardo Francisco
Suemoto, Claudia K.
author Calandri, Ismael Luis
author_facet Calandri, Ismael Luis
Livingston, Gill
Paradela, Regina
Ossenkoppele, Rik
Crivelli, Lucía
Allegri, Ricardo Francisco
Suemoto, Claudia K.
author_role author
author2 Livingston, Gill
Paradela, Regina
Ossenkoppele, Rik
Crivelli, Lucía
Allegri, Ricardo Francisco
Suemoto, Claudia K.
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Demencia
topic Demencia
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.3
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Introduction: Twelve modifiable risk factors (RFs) account for 40% of dementia cases worldwide. However, limited data exist on such factors in middle- and low-income countries. We aimed to estimate the population-attributable fractions (PAFs) for the 12 RFs in Argentina, assessing changes over a decade and exploring socioeconomic and sex influences. Methods: We conducted cross-sectional analyses of the 12 RFs from Argentinian surveys conducted in 2009, 2015, and 2018, including 96,321 people. We calculated PAFs and stratified estimates based on sex and income. Results: We estimated an overall PAF of 59.6% (95% CI = 58.9–60.3%). The largest PAFs were hypertension = 9.3% (8.7–9.9%), physical inactivity = 7.4% (6.8–8.2%), and obesity = 7.4% (6.8–7.9%). Men were more impacted by excessive alcohol, while women by isolation and smoking. Lower income linked to higher PAFs in education, hypertension, and obesity. Discussion: Argentina has a higher PAF for dementia than the world population, with distinct RF distribution. PAF varied by sex and economic status, advocating tailored prevention strategies.
Fil: Calandri, Ismael Luis. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Livingston, Gill. University College London; Estados Unidos
Fil: Paradela, Regina. Universidade de Sao Paulo; Brasil
Fil: Ossenkoppele, Rik. Vrije Universiteit Amsterdam; Países Bajos
Fil: Crivelli, Lucía. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia. Instituto de Neurociencias - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Neurociencias; Argentina
Fil: Allegri, Ricardo Francisco. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia. Instituto de Neurociencias - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Neurociencias; Argentina
Fil: Suemoto, Claudia K.. Universidade de Sao Paulo; Brasil
description Introduction: Twelve modifiable risk factors (RFs) account for 40% of dementia cases worldwide. However, limited data exist on such factors in middle- and low-income countries. We aimed to estimate the population-attributable fractions (PAFs) for the 12 RFs in Argentina, assessing changes over a decade and exploring socioeconomic and sex influences. Methods: We conducted cross-sectional analyses of the 12 RFs from Argentinian surveys conducted in 2009, 2015, and 2018, including 96,321 people. We calculated PAFs and stratified estimates based on sex and income. Results: We estimated an overall PAF of 59.6% (95% CI = 58.9–60.3%). The largest PAFs were hypertension = 9.3% (8.7–9.9%), physical inactivity = 7.4% (6.8–8.2%), and obesity = 7.4% (6.8–7.9%). Men were more impacted by excessive alcohol, while women by isolation and smoking. Lower income linked to higher PAFs in education, hypertension, and obesity. Discussion: Argentina has a higher PAF for dementia than the world population, with distinct RF distribution. PAF varied by sex and economic status, advocating tailored prevention strategies.
publishDate 2024
dc.date.none.fl_str_mv 2024-01
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/11336/262942
Calandri, Ismael Luis; Livingston, Gill; Paradela, Regina; Ossenkoppele, Rik; Crivelli, Lucía; et al.; Sex and Socioeconomic Disparities in Dementia Risk: A Population-Attributable Fraction Analysis in Argentina; Karger; Neuroepidemiology.; 58; 4; 1-2024; 264-275
0251-5350
CONICET Digital
CONICET
url http://hdl.handle.net/11336/262942
identifier_str_mv Calandri, Ismael Luis; Livingston, Gill; Paradela, Regina; Ossenkoppele, Rik; Crivelli, Lucía; et al.; Sex and Socioeconomic Disparities in Dementia Risk: A Population-Attributable Fraction Analysis in Argentina; Karger; Neuroepidemiology.; 58; 4; 1-2024; 264-275
0251-5350
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
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info:eu-repo/semantics/altIdentifier/doi/10.1159/000536524
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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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
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dc.publisher.none.fl_str_mv Karger
publisher.none.fl_str_mv Karger
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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