Risk of sarcopenia: A red flag for cognitive decline in postmenopause
Objective: To determine if the SARC-F tool, used to screen for sarcopenia risk, can also predict mild cognitive impairment (MCI) diagnosed with the Montreal Cognitive Assessment (MoCA) tool. Methods: This is a sub-analysis of data from a cross-sectional study carried out in postmenopausal women from...
- Autores:
-
Vallejo, María S.
Blümel, Juan E.
Tserotas, Konstantinos
Salinas, Carlos
Rodrigues, Marcio A.
Rodríguez-Vidal, Doris
Rey, Claudia
Ojeda, Eliana
Ñañez, Monica
Monterrosa-Castro, Àlvaro
Gomez-Tabares, Gustavo
Espinoza, María T.
Escalante, Carlos
Elizalde, Alejandra
Dextre, Maribel
Calle, Andrès
Aedo, Sòcrates
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2025
- Institución:
- Universidad de Cartagena
- Repositorio:
- Repositorio Universidad de Cartagena
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.unicartagena.edu.co:11227/19342
- Acceso en línea:
- https://hdl.handle.net/11227/19342
- Palabra clave:
- 3. Ciencias Médicas y de la Salud
Deterioro cognitivo leve
DCL
MoCA
SARC-F
Sarcopenia
Riesgo
Mild cognitive impairment
MCI
MoCA
SARC-F
Sarcopenia
Risk
ODS 3: Salud y bienestar. Garantizar una vida sana y promover el bienestar de todos a todas las edades
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by-nc/4.0/
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Repositorio Universidad de Cartagena |
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|
dc.title.none.fl_str_mv |
Risk of sarcopenia: A red flag for cognitive decline in postmenopause |
title |
Risk of sarcopenia: A red flag for cognitive decline in postmenopause |
spellingShingle |
Risk of sarcopenia: A red flag for cognitive decline in postmenopause 3. Ciencias Médicas y de la Salud Deterioro cognitivo leve DCL MoCA SARC-F Sarcopenia Riesgo Mild cognitive impairment MCI MoCA SARC-F Sarcopenia Risk ODS 3: Salud y bienestar. Garantizar una vida sana y promover el bienestar de todos a todas las edades |
title_short |
Risk of sarcopenia: A red flag for cognitive decline in postmenopause |
title_full |
Risk of sarcopenia: A red flag for cognitive decline in postmenopause |
title_fullStr |
Risk of sarcopenia: A red flag for cognitive decline in postmenopause |
title_full_unstemmed |
Risk of sarcopenia: A red flag for cognitive decline in postmenopause |
title_sort |
Risk of sarcopenia: A red flag for cognitive decline in postmenopause |
dc.creator.fl_str_mv |
Vallejo, María S. Blümel, Juan E. Tserotas, Konstantinos Salinas, Carlos Rodrigues, Marcio A. Rodríguez-Vidal, Doris Rey, Claudia Ojeda, Eliana Ñañez, Monica Monterrosa-Castro, Àlvaro Gomez-Tabares, Gustavo Espinoza, María T. Escalante, Carlos Elizalde, Alejandra Dextre, Maribel Calle, Andrès Aedo, Sòcrates |
dc.contributor.author.none.fl_str_mv |
Vallejo, María S. Blümel, Juan E. Tserotas, Konstantinos Salinas, Carlos Rodrigues, Marcio A. Rodríguez-Vidal, Doris Rey, Claudia Ojeda, Eliana Ñañez, Monica Monterrosa-Castro, Àlvaro Gomez-Tabares, Gustavo Espinoza, María T. Escalante, Carlos Elizalde, Alejandra Dextre, Maribel Calle, Andrès Aedo, Sòcrates |
dc.contributor.researchgroup.none.fl_str_mv |
Grupo de investigacion Salud de la Mujer |
dc.subject.ocde.none.fl_str_mv |
3. Ciencias Médicas y de la Salud |
topic |
3. Ciencias Médicas y de la Salud Deterioro cognitivo leve DCL MoCA SARC-F Sarcopenia Riesgo Mild cognitive impairment MCI MoCA SARC-F Sarcopenia Risk ODS 3: Salud y bienestar. Garantizar una vida sana y promover el bienestar de todos a todas las edades |
dc.subject.proposal.spa.fl_str_mv |
Deterioro cognitivo leve DCL MoCA SARC-F Sarcopenia Riesgo |
dc.subject.proposal.eng.fl_str_mv |
Mild cognitive impairment MCI MoCA SARC-F Sarcopenia Risk |
dc.subject.ods.none.fl_str_mv |
ODS 3: Salud y bienestar. Garantizar una vida sana y promover el bienestar de todos a todas las edades |
description |
Objective: To determine if the SARC-F tool, used to screen for sarcopenia risk, can also predict mild cognitive impairment (MCI) diagnosed with the Montreal Cognitive Assessment (MoCA) tool. Methods: This is a sub-analysis of data from a cross-sectional study carried out in postmenopausal women from Latin America (nine countries) in which sociodemographic, clinical, and anthropometric data were collected, and the SARC-F and MoCA tools administered. From the original sample of 1185 women, analysis was performed only among the 772 with natural menopause. Results: Overall, mean age, body mass index and years of education were 56.9 years, 26.8 kg/m2 and 13.6 years, respectively. Women with MCI displayed a higher body mass index, had more children, experienced more severe menopausal symptoms, and were more frequently homemakers and physically inactive. The prevalence of MCI increased from 12.9 % in women with no sarcopenia risk (SARC-F < 4 points) to 35.3 % in those at risk (OR 3.70; 95 % CI 2.36–5.80). According to binary logistic regression analysis, sarcopenia risk (total SARC-F score ≥ 4) was associated with MCI (OR: 2.44; 95 % CI 1.50–3.95). Aside from the risk of sarcopenia, being a homemaker (OR 1.97; 95 % CI 1.25–3.10) was also associated with an increased likelihood of MCI. Protective factors included ever use of menopausal hormone therapy (OR 0.26; 95 % CI 0.13–0.54) and having higher educational attainment (OR 0.28; 95 % CI 95 % 0.16–0.47). The SARC-F displayed a sensitivity of 84 % and a specificity of 39 % at diagnosing MCI. |
publishDate |
2025 |
dc.date.accessioned.none.fl_str_mv |
2025-04-25T15:03:32Z |
dc.date.available.none.fl_str_mv |
2025-04-25T15:03:32Z |
dc.date.issued.none.fl_str_mv |
2025-03 |
dc.type.none.fl_str_mv |
Artículo de revista |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.version.none.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.coarversion.none.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.none.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.content.none.fl_str_mv |
Text |
dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/article |
format |
http://purl.org/coar/resource_type/c_6501 |
status_str |
publishedVersion |
dc.identifier.issn.none.fl_str_mv |
0378-5122 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/11227/19342 |
dc.identifier.eissn.none.fl_str_mv |
0378-5122 |
identifier_str_mv |
0378-5122 |
url |
https://hdl.handle.net/11227/19342 |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartofjournal.none.fl_str_mv |
Maturitas |
dc.relation.citationendpage.none.fl_str_mv |
6 |
dc.relation.citationstartpage.none.fl_str_mv |
1 |
dc.relation.citationvolume.none.fl_str_mv |
194 |
dc.relation.references.none.fl_str_mv |
A.J. Cruz-Jentoft, A.A. Sayer, Sarcopenia, Lancet 393 (10191) (2019) 2636–2646. Q. Cao, C.C. Tan, W. Xu, H. Hu, X.P. Cao, Q. Dong Q, et al., The prevalence of dementia: a systematic review and Meta-analysis, J. Alzheimers Dis. 73 (3) (2020) 1157–1166. A.J. Cruz-Jentoft, G. Bahat, J. Bauer, Y. Boirie, O. Bruy`ere, T. Cederholm T, et al.; Writing Group for the European Working Group on sarcopenia in older people 2 (EWGSOP2), and the extended group for EWGSOP2. Sarcopenia: revised European consensus on definition and diagnosis, Age. Ageing. 48 (1) (2019) 16–31. J.A. Batsis, C. Haudenschild, R.S. Crow, M. Gilliam, T.A. Mackenzie, Sarcopenia definition outcome consortium - defined weakness and risk of falls: the National Health and aging trends survey, Geriatr. Gerontol. Int. 23 (3) (2023) 213–220. S. Yuan, S.C. Larsson, Epidemiology of sarcopenia: prevalence, risk factors, and consequences, Metabolism 144 (2023) 155533. |
dc.rights.uri.none.fl_str_mv |
https://creativecommons.org/licenses/by-nc/4.0/ |
dc.rights.license.none.fl_str_mv |
Atribución-NoComercial 4.0 Internacional (CC BY-NC 4.0) |
dc.rights.coar.none.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.accessrights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc/4.0/ Atribución-NoComercial 4.0 Internacional (CC BY-NC 4.0) http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
dc.format.mimetype.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
dc.publisher.place.none.fl_str_mv |
Australia |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
https://www.sciencedirect.com/journal/maturitasdc |
institution |
Universidad de Cartagena |
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spelling |
Vallejo, María S.Blümel, Juan E.Tserotas, KonstantinosSalinas, CarlosRodrigues, Marcio A.Rodríguez-Vidal, DorisRey, ClaudiaOjeda, ElianaÑañez, MonicaMonterrosa-Castro, ÀlvaroGomez-Tabares, GustavoEspinoza, María T.Escalante, CarlosElizalde, AlejandraDextre, MaribelCalle, AndrèsAedo, SòcratesGrupo de investigacion Salud de la Mujer2025-04-25T15:03:32Z2025-04-25T15:03:32Z2025-030378-5122https://hdl.handle.net/11227/193420378-5122Objective: To determine if the SARC-F tool, used to screen for sarcopenia risk, can also predict mild cognitive impairment (MCI) diagnosed with the Montreal Cognitive Assessment (MoCA) tool. Methods: This is a sub-analysis of data from a cross-sectional study carried out in postmenopausal women from Latin America (nine countries) in which sociodemographic, clinical, and anthropometric data were collected, and the SARC-F and MoCA tools administered. From the original sample of 1185 women, analysis was performed only among the 772 with natural menopause. Results: Overall, mean age, body mass index and years of education were 56.9 years, 26.8 kg/m2 and 13.6 years, respectively. Women with MCI displayed a higher body mass index, had more children, experienced more severe menopausal symptoms, and were more frequently homemakers and physically inactive. The prevalence of MCI increased from 12.9 % in women with no sarcopenia risk (SARC-F < 4 points) to 35.3 % in those at risk (OR 3.70; 95 % CI 2.36–5.80). According to binary logistic regression analysis, sarcopenia risk (total SARC-F score ≥ 4) was associated with MCI (OR: 2.44; 95 % CI 1.50–3.95). Aside from the risk of sarcopenia, being a homemaker (OR 1.97; 95 % CI 1.25–3.10) was also associated with an increased likelihood of MCI. Protective factors included ever use of menopausal hormone therapy (OR 0.26; 95 % CI 0.13–0.54) and having higher educational attainment (OR 0.28; 95 % CI 95 % 0.16–0.47). The SARC-F displayed a sensitivity of 84 % and a specificity of 39 % at diagnosing MCI.application/pdfengElsevierAustraliaMaturitas61194A.J. Cruz-Jentoft, A.A. Sayer, Sarcopenia, Lancet 393 (10191) (2019) 2636–2646.Q. Cao, C.C. Tan, W. Xu, H. Hu, X.P. Cao, Q. Dong Q, et al., The prevalence of dementia: a systematic review and Meta-analysis, J. Alzheimers Dis. 73 (3) (2020) 1157–1166.A.J. Cruz-Jentoft, G. Bahat, J. Bauer, Y. Boirie, O. Bruy`ere, T. Cederholm T, et al.; Writing Group for the European Working Group on sarcopenia in older people 2 (EWGSOP2), and the extended group for EWGSOP2. Sarcopenia: revised European consensus on definition and diagnosis, Age. Ageing. 48 (1) (2019) 16–31.J.A. Batsis, C. Haudenschild, R.S. Crow, M. Gilliam, T.A. Mackenzie, Sarcopenia definition outcome consortium - defined weakness and risk of falls: the National Health and aging trends survey, Geriatr. Gerontol. Int. 23 (3) (2023) 213–220.S. Yuan, S.C. Larsson, Epidemiology of sarcopenia: prevalence, risk factors, and consequences, Metabolism 144 (2023) 155533.https://creativecommons.org/licenses/by-nc/4.0/Atribución-NoComercial 4.0 Internacional (CC BY-NC 4.0)http://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccesshttps://www.sciencedirect.com/journal/maturitasdcRisk of sarcopenia: A red flag for cognitive decline in postmenopauseArtículo de revistainfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/article3. Ciencias Médicas y de la SaludDeterioro cognitivo leveDCLMoCASARC-FSarcopeniaRiesgoMild cognitive impairmentMCIMoCASARC-FSarcopeniaRiskODS 3: Salud y bienestar. 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