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Predictor of cognitive impairment: metabolic syndrome or circadian syndrome
BACKGROUND: It was reported that metabolic syndrome increases the risk for cognitive impairment and circadian rhythm may influence cognition behavior. Identifying the potential risk factors is essential to screen individuals with neuronal dysfunction, neuronal loss, and cognitive decline and prevent...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318700/ https://www.ncbi.nlm.nih.gov/pubmed/37403015 http://dx.doi.org/10.1186/s12877-023-03996-x |
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author | Liu, Yang Zang, Boying Shao, Jinang Ning, Ning He, Lixia Ma, Yanan |
author_facet | Liu, Yang Zang, Boying Shao, Jinang Ning, Ning He, Lixia Ma, Yanan |
author_sort | Liu, Yang |
collection | PubMed |
description | BACKGROUND: It was reported that metabolic syndrome increases the risk for cognitive impairment and circadian rhythm may influence cognition behavior. Identifying the potential risk factors is essential to screen individuals with neuronal dysfunction, neuronal loss, and cognitive decline and prevent cognitive impairment and dementia development. METHODS: We clarified participants by the presence of metabolic syndrome (MetS) and circadian syndrome (CircS) and employed three multivariable Generalized Estimating Equation (GEE) models to control the potential confounding factors and estimate the β values for cognitive function using as referents those had neither MetS nor CircS at baseline. The cognitive function consists of episodic memory and executive function was estimated via the modified Telephone Interview for Cognitive Status (TICS) every two years until 2015. RESULTS: The mean age of the participants was 58.80 (8.93) years and 49.92% (male). The prevalence of MetS and CircS was 42.98% and 36.43%, respectively. 1,075 (11.00%) and 435 (4.45%) participants had either MetS or CircS alone and 3,124 (31.98%) had both CircS and MetS. Participants with both MetS and CircS compared with normal had a significantly decreased cognitive function score during the 4-years cohort (β = -0.32, 95% CI: -0.63, -0.01) with the complete model, as well as among participants who suffered from CircS alone (β = -0.82, 95% CI: -1.47, -0.16), while not among participants with MetS alone (β = 0.13, 95% CI: -0.27, 0.53). Specifically, compared with the normal population a significantly lower score was discovered in the episodic memory (β = -0.51, 95% CI: -0.95, -0.07), while slightly lower in executive function (β = -0.33, 95% CI: -0.68, -0.01) among individuals with CircS alone. CONCLUSIONS: Individuals with CircS alone or both MetS and CircS have a high risk of cognitive impairment. The association was even stronger in participants with CircS alone than those with both MetS and CircS, suggesting CircS probably have a stronger association with cognitive functioning than MetS and could be a better predictor for cognitive impairment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-023-03996-x. |
format | Online Article Text |
id | pubmed-10318700 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103187002023-07-05 Predictor of cognitive impairment: metabolic syndrome or circadian syndrome Liu, Yang Zang, Boying Shao, Jinang Ning, Ning He, Lixia Ma, Yanan BMC Geriatr Research BACKGROUND: It was reported that metabolic syndrome increases the risk for cognitive impairment and circadian rhythm may influence cognition behavior. Identifying the potential risk factors is essential to screen individuals with neuronal dysfunction, neuronal loss, and cognitive decline and prevent cognitive impairment and dementia development. METHODS: We clarified participants by the presence of metabolic syndrome (MetS) and circadian syndrome (CircS) and employed three multivariable Generalized Estimating Equation (GEE) models to control the potential confounding factors and estimate the β values for cognitive function using as referents those had neither MetS nor CircS at baseline. The cognitive function consists of episodic memory and executive function was estimated via the modified Telephone Interview for Cognitive Status (TICS) every two years until 2015. RESULTS: The mean age of the participants was 58.80 (8.93) years and 49.92% (male). The prevalence of MetS and CircS was 42.98% and 36.43%, respectively. 1,075 (11.00%) and 435 (4.45%) participants had either MetS or CircS alone and 3,124 (31.98%) had both CircS and MetS. Participants with both MetS and CircS compared with normal had a significantly decreased cognitive function score during the 4-years cohort (β = -0.32, 95% CI: -0.63, -0.01) with the complete model, as well as among participants who suffered from CircS alone (β = -0.82, 95% CI: -1.47, -0.16), while not among participants with MetS alone (β = 0.13, 95% CI: -0.27, 0.53). Specifically, compared with the normal population a significantly lower score was discovered in the episodic memory (β = -0.51, 95% CI: -0.95, -0.07), while slightly lower in executive function (β = -0.33, 95% CI: -0.68, -0.01) among individuals with CircS alone. CONCLUSIONS: Individuals with CircS alone or both MetS and CircS have a high risk of cognitive impairment. The association was even stronger in participants with CircS alone than those with both MetS and CircS, suggesting CircS probably have a stronger association with cognitive functioning than MetS and could be a better predictor for cognitive impairment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-023-03996-x. BioMed Central 2023-07-04 /pmc/articles/PMC10318700/ /pubmed/37403015 http://dx.doi.org/10.1186/s12877-023-03996-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Liu, Yang Zang, Boying Shao, Jinang Ning, Ning He, Lixia Ma, Yanan Predictor of cognitive impairment: metabolic syndrome or circadian syndrome |
title | Predictor of cognitive impairment: metabolic syndrome or circadian syndrome |
title_full | Predictor of cognitive impairment: metabolic syndrome or circadian syndrome |
title_fullStr | Predictor of cognitive impairment: metabolic syndrome or circadian syndrome |
title_full_unstemmed | Predictor of cognitive impairment: metabolic syndrome or circadian syndrome |
title_short | Predictor of cognitive impairment: metabolic syndrome or circadian syndrome |
title_sort | predictor of cognitive impairment: metabolic syndrome or circadian syndrome |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318700/ https://www.ncbi.nlm.nih.gov/pubmed/37403015 http://dx.doi.org/10.1186/s12877-023-03996-x |
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