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Determinants of Processing Speed Trajectories among Middle Aged or Older Adults, and Their Association with Chronic Illnesses: The English Longitudinal Study of Aging

The aim of this study was to identify latent groups of similar trajectories in processing speed through aging, as well as factors that are associated with these trajectories. In the context of the Ageing Trajectories of Health: Longitudinal Opportunities and Synergies (ATHLOS) project, data from the...

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Autores principales: Gkotzamanis, Viktor, Koliopanos, Giorgos, Sanchez-Niubo, Albert, Olaya, Beatriz, Caballero, Francisco Félix, Ayuso-Mateos, José Luis, Chatterji, Somnath, Haro, Josep Maria, Panagiotakos, Demosthenes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8072694/
https://www.ncbi.nlm.nih.gov/pubmed/33919625
http://dx.doi.org/10.3390/life11040357
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author Gkotzamanis, Viktor
Koliopanos, Giorgos
Sanchez-Niubo, Albert
Olaya, Beatriz
Caballero, Francisco Félix
Ayuso-Mateos, José Luis
Chatterji, Somnath
Haro, Josep Maria
Panagiotakos, Demosthenes
author_facet Gkotzamanis, Viktor
Koliopanos, Giorgos
Sanchez-Niubo, Albert
Olaya, Beatriz
Caballero, Francisco Félix
Ayuso-Mateos, José Luis
Chatterji, Somnath
Haro, Josep Maria
Panagiotakos, Demosthenes
author_sort Gkotzamanis, Viktor
collection PubMed
description The aim of this study was to identify latent groups of similar trajectories in processing speed through aging, as well as factors that are associated with these trajectories. In the context of the Ageing Trajectories of Health: Longitudinal Opportunities and Synergies (ATHLOS) project, data from the English Longitudinal Study of Aging (ELSA) (n = 12099) were analyzed. Latent groups of similar trajectories in the processing scores as well as their predictors and covariates were investigated, using group-based trajectory models (GBTM). The coefficient estimates for potential group predictors correspond to parameters of multinomial logit functions that are integrated in the model. Potential predictors included sex, level of education, marital status, level of household wealth, level of physical activity, and history of smoking, while time-varying covariates included incidence of cardiovascular disease (CVD), diabetes mellitus, depressive symptoms, and sleep disturbances. Four trajectories were identified and named after their baseline scores and shapes: High (4.4%), Middle/Stable (31.5%), Low/Stable (44.5%), and Low Decline (19.6%). Female sex, higher levels of education, mild level of physical activity, having been married, and higher level of wealth were associated with a higher probability of belonging to any of the higher groups compared to the Low/Decline that was set as reference, while presence of CVD, diabetes mellitus, and depressive symptoms were associated with lower processing speed scores within most trajectories. All the aforementioned factors might be valid targets for interventions to reduce the burden of age-related cognitive impairment.
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spelling pubmed-80726942021-04-27 Determinants of Processing Speed Trajectories among Middle Aged or Older Adults, and Their Association with Chronic Illnesses: The English Longitudinal Study of Aging Gkotzamanis, Viktor Koliopanos, Giorgos Sanchez-Niubo, Albert Olaya, Beatriz Caballero, Francisco Félix Ayuso-Mateos, José Luis Chatterji, Somnath Haro, Josep Maria Panagiotakos, Demosthenes Life (Basel) Article The aim of this study was to identify latent groups of similar trajectories in processing speed through aging, as well as factors that are associated with these trajectories. In the context of the Ageing Trajectories of Health: Longitudinal Opportunities and Synergies (ATHLOS) project, data from the English Longitudinal Study of Aging (ELSA) (n = 12099) were analyzed. Latent groups of similar trajectories in the processing scores as well as their predictors and covariates were investigated, using group-based trajectory models (GBTM). The coefficient estimates for potential group predictors correspond to parameters of multinomial logit functions that are integrated in the model. Potential predictors included sex, level of education, marital status, level of household wealth, level of physical activity, and history of smoking, while time-varying covariates included incidence of cardiovascular disease (CVD), diabetes mellitus, depressive symptoms, and sleep disturbances. Four trajectories were identified and named after their baseline scores and shapes: High (4.4%), Middle/Stable (31.5%), Low/Stable (44.5%), and Low Decline (19.6%). Female sex, higher levels of education, mild level of physical activity, having been married, and higher level of wealth were associated with a higher probability of belonging to any of the higher groups compared to the Low/Decline that was set as reference, while presence of CVD, diabetes mellitus, and depressive symptoms were associated with lower processing speed scores within most trajectories. All the aforementioned factors might be valid targets for interventions to reduce the burden of age-related cognitive impairment. MDPI 2021-04-18 /pmc/articles/PMC8072694/ /pubmed/33919625 http://dx.doi.org/10.3390/life11040357 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gkotzamanis, Viktor
Koliopanos, Giorgos
Sanchez-Niubo, Albert
Olaya, Beatriz
Caballero, Francisco Félix
Ayuso-Mateos, José Luis
Chatterji, Somnath
Haro, Josep Maria
Panagiotakos, Demosthenes
Determinants of Processing Speed Trajectories among Middle Aged or Older Adults, and Their Association with Chronic Illnesses: The English Longitudinal Study of Aging
title Determinants of Processing Speed Trajectories among Middle Aged or Older Adults, and Their Association with Chronic Illnesses: The English Longitudinal Study of Aging
title_full Determinants of Processing Speed Trajectories among Middle Aged or Older Adults, and Their Association with Chronic Illnesses: The English Longitudinal Study of Aging
title_fullStr Determinants of Processing Speed Trajectories among Middle Aged or Older Adults, and Their Association with Chronic Illnesses: The English Longitudinal Study of Aging
title_full_unstemmed Determinants of Processing Speed Trajectories among Middle Aged or Older Adults, and Their Association with Chronic Illnesses: The English Longitudinal Study of Aging
title_short Determinants of Processing Speed Trajectories among Middle Aged or Older Adults, and Their Association with Chronic Illnesses: The English Longitudinal Study of Aging
title_sort determinants of processing speed trajectories among middle aged or older adults, and their association with chronic illnesses: the english longitudinal study of aging
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8072694/
https://www.ncbi.nlm.nih.gov/pubmed/33919625
http://dx.doi.org/10.3390/life11040357
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