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Factors leading to the trajectory of cognitive decline in middle-aged and older adults using group-based trajectory modeling: A cohort study

Currently, studies exploring factors associated with the cognition at some time point and no study identifying the trajectories of cognitive changes and factors might associate with the trajectories of cognitive changes in people. This study was to identify factors associated with the trend of cogni...

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Autores principales: Su, Jun, Xiao, Xiaohua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9704883/
https://www.ncbi.nlm.nih.gov/pubmed/36451491
http://dx.doi.org/10.1097/MD.0000000000031817
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author Su, Jun
Xiao, Xiaohua
author_facet Su, Jun
Xiao, Xiaohua
author_sort Su, Jun
collection PubMed
description Currently, studies exploring factors associated with the cognition at some time point and no study identifying the trajectories of cognitive changes and factors might associate with the trajectories of cognitive changes in people. This study was to identify factors associated with the trend of cognitive decline in middle-aged and older people. In this cohort study, the data of 6954 subjects were collected from China Health and Retirement Longitudinal Survey database. Group-based trajectory modeling was applied for identifying three different trajectories of cognitive function change [high initial level and slow decline group (n = 1024), moderate initial level and moderate decline group (n = 2673) and low initial level and rapid decline (LRD) group (n = 3277)]. Univariate and multivariate logistic regression analysis was conducted to identify variables influencing factors of the trajectories of cognitive function in middle-aged and older people. The follow-up interval was 2 years from 2011 to 2015, and 3 years from 2015 to 2018 via face-to-face interview. High initial level and slow decline group versus LRD group, age (OR = 2.591, 95% CI: 1.962–3.421), gender (OR = 1.398, 95% CI: 1.133–1.725), education (OR = 0.051, 95% CI: 0.039–0.068), place of residence (OR = 2.768, 95% CI: 1.663–4.606), disabled (OR = 1.557, 95% CI: 1.189–2.039), family annual income (OR = 0.757, 95% CI: 0.618–0.929), sleep duration (OR = 1.266, 95% CI: 1.023–1.567), instrumental activity of daily living impairment (OR = 2.513, 95% CI: 1.947–3.245), community activities participation (OR = 0.611, 95% CI: 0.500–0.748), depression (OR = 1.471, 95% CI: 1.185–1.828), and systolic blood pressure (OR = 1.005, 95% CI: 1.001–1.009) were factors influencing the trajectories of cognitive function. Comparing moderate initial level and moderate decline group and LRD group, age (OR = 1.245, 95% CI: 1.052–1.474), gender (OR = 1.244, 95% CI: 1.062–1.458), education (OR = 0.244, 95% CI: 0.190–0.314), marital status (OR = 1.291, 95% CI: 1.079–1.546), place of residence (OR = 1.677, 95% CI: 1.358–2.071), disability (OR = 1.396, 95% CI: 1.180–1.652), smoking (OR = 1.249, 95% CI: 1.071–1.457), family annual income (OR = 0.863, 95% CI: 0.768–0.970), sleep duration (OR = 1.215, 95% CI: 0.973–1.541), instrumental activity of daily living impairment (OR = 1.309, 95% CI: 1.098–1.560), community activities participation (OR = 0.804, 95% CI: 0.718–0.900) and depression (OR = 1.383, 95% CI: 1.217–1.571) were factors associated with the trajectories of cognitive function changes. Middle-aged and older adults who had characteristics associated with increased risk of cognitive decline might be provided with timely interventions.
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spelling pubmed-97048832022-11-29 Factors leading to the trajectory of cognitive decline in middle-aged and older adults using group-based trajectory modeling: A cohort study Su, Jun Xiao, Xiaohua Medicine (Baltimore) 5300 Currently, studies exploring factors associated with the cognition at some time point and no study identifying the trajectories of cognitive changes and factors might associate with the trajectories of cognitive changes in people. This study was to identify factors associated with the trend of cognitive decline in middle-aged and older people. In this cohort study, the data of 6954 subjects were collected from China Health and Retirement Longitudinal Survey database. Group-based trajectory modeling was applied for identifying three different trajectories of cognitive function change [high initial level and slow decline group (n = 1024), moderate initial level and moderate decline group (n = 2673) and low initial level and rapid decline (LRD) group (n = 3277)]. Univariate and multivariate logistic regression analysis was conducted to identify variables influencing factors of the trajectories of cognitive function in middle-aged and older people. The follow-up interval was 2 years from 2011 to 2015, and 3 years from 2015 to 2018 via face-to-face interview. High initial level and slow decline group versus LRD group, age (OR = 2.591, 95% CI: 1.962–3.421), gender (OR = 1.398, 95% CI: 1.133–1.725), education (OR = 0.051, 95% CI: 0.039–0.068), place of residence (OR = 2.768, 95% CI: 1.663–4.606), disabled (OR = 1.557, 95% CI: 1.189–2.039), family annual income (OR = 0.757, 95% CI: 0.618–0.929), sleep duration (OR = 1.266, 95% CI: 1.023–1.567), instrumental activity of daily living impairment (OR = 2.513, 95% CI: 1.947–3.245), community activities participation (OR = 0.611, 95% CI: 0.500–0.748), depression (OR = 1.471, 95% CI: 1.185–1.828), and systolic blood pressure (OR = 1.005, 95% CI: 1.001–1.009) were factors influencing the trajectories of cognitive function. Comparing moderate initial level and moderate decline group and LRD group, age (OR = 1.245, 95% CI: 1.052–1.474), gender (OR = 1.244, 95% CI: 1.062–1.458), education (OR = 0.244, 95% CI: 0.190–0.314), marital status (OR = 1.291, 95% CI: 1.079–1.546), place of residence (OR = 1.677, 95% CI: 1.358–2.071), disability (OR = 1.396, 95% CI: 1.180–1.652), smoking (OR = 1.249, 95% CI: 1.071–1.457), family annual income (OR = 0.863, 95% CI: 0.768–0.970), sleep duration (OR = 1.215, 95% CI: 0.973–1.541), instrumental activity of daily living impairment (OR = 1.309, 95% CI: 1.098–1.560), community activities participation (OR = 0.804, 95% CI: 0.718–0.900) and depression (OR = 1.383, 95% CI: 1.217–1.571) were factors associated with the trajectories of cognitive function changes. Middle-aged and older adults who had characteristics associated with increased risk of cognitive decline might be provided with timely interventions. Lippincott Williams & Wilkins 2022-11-25 /pmc/articles/PMC9704883/ /pubmed/36451491 http://dx.doi.org/10.1097/MD.0000000000031817 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal.
spellingShingle 5300
Su, Jun
Xiao, Xiaohua
Factors leading to the trajectory of cognitive decline in middle-aged and older adults using group-based trajectory modeling: A cohort study
title Factors leading to the trajectory of cognitive decline in middle-aged and older adults using group-based trajectory modeling: A cohort study
title_full Factors leading to the trajectory of cognitive decline in middle-aged and older adults using group-based trajectory modeling: A cohort study
title_fullStr Factors leading to the trajectory of cognitive decline in middle-aged and older adults using group-based trajectory modeling: A cohort study
title_full_unstemmed Factors leading to the trajectory of cognitive decline in middle-aged and older adults using group-based trajectory modeling: A cohort study
title_short Factors leading to the trajectory of cognitive decline in middle-aged and older adults using group-based trajectory modeling: A cohort study
title_sort factors leading to the trajectory of cognitive decline in middle-aged and older adults using group-based trajectory modeling: a cohort study
topic 5300
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9704883/
https://www.ncbi.nlm.nih.gov/pubmed/36451491
http://dx.doi.org/10.1097/MD.0000000000031817
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