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Frailty and its combined effects with lifestyle factors on cognitive function: a cross-sectional study
BACKGROUND: Frailty describes an age-related state of deterioration in biological function. This study aimed to investigate the association between frailty and cognitive function and its combined effects with lifestyles. METHODS: A total of 3,279 participants from the Dongfeng-Tongji (DFTJ) cohort w...
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/PMC9900934/ https://www.ncbi.nlm.nih.gov/pubmed/36747124 http://dx.doi.org/10.1186/s12877-023-03761-0 |
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author | Li, Fangqing Yan, Yike Zheng, Lei Wang, Chenming Guan, Xin Hong, Shiru Guo, Huan |
author_facet | Li, Fangqing Yan, Yike Zheng, Lei Wang, Chenming Guan, Xin Hong, Shiru Guo, Huan |
author_sort | Li, Fangqing |
collection | PubMed |
description | BACKGROUND: Frailty describes an age-related state of deterioration in biological function. This study aimed to investigate the association between frailty and cognitive function and its combined effects with lifestyles. METHODS: A total of 3,279 participants from the Dongfeng-Tongji (DFTJ) cohort were tested the cognitive function by using the Chinese version of Mini-mental State Examination (MMSE). Frailty was evaluated based on a 35-item frailty index (FI). Frailty status was dichotomized into robust (FI < 0.15) and frail (FI ≥ 0.15). Multivariate generalized linear regression models and logistic regression models were used to estimate the associations of frailty with MMSE score and cognitive impairment. We also analysed the modification and combined effects of lifestyle factors, including smoking status, drinking status, and regular physical exercise, on the above associations. RESULTS: FI was significantly associated with lower MMSE score [β (95%Cl) = -0.28 (-0.43, -0.13)] and cognitive impairment [OR (95%Cl) = 1.19 (1.04, 1.35)]. The association of frailty status with MMSE were found to be stronger among ever smokers [β(95%Cl) = -1.08 (-1.64, -0.51)] and physical inactive individuals [β(95%Cl) = -1.59 (-2.63, -0.54)] while weaker or not significant among never smokers [β(95%Cl) = -0.30 (-0.62, 0.01)] and physical active individuals [β(95%Cl) = -0.37 (-0.65, -0.08))]. There were significant combined effects of frailty status with unhealthy lifestyles including smoking, alcohol drinking, and physical inactive on cognitive impairment. CONCLUSIONS: Frailty was associated with cognitive impairment among Chinese middle-aged and elderly people, while smoking cessation and regular physical exercise could attenuate the above associations, which highlight the potential preventive interventions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-023-03761-0. |
format | Online Article Text |
id | pubmed-9900934 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-99009342023-02-07 Frailty and its combined effects with lifestyle factors on cognitive function: a cross-sectional study Li, Fangqing Yan, Yike Zheng, Lei Wang, Chenming Guan, Xin Hong, Shiru Guo, Huan BMC Geriatr Research BACKGROUND: Frailty describes an age-related state of deterioration in biological function. This study aimed to investigate the association between frailty and cognitive function and its combined effects with lifestyles. METHODS: A total of 3,279 participants from the Dongfeng-Tongji (DFTJ) cohort were tested the cognitive function by using the Chinese version of Mini-mental State Examination (MMSE). Frailty was evaluated based on a 35-item frailty index (FI). Frailty status was dichotomized into robust (FI < 0.15) and frail (FI ≥ 0.15). Multivariate generalized linear regression models and logistic regression models were used to estimate the associations of frailty with MMSE score and cognitive impairment. We also analysed the modification and combined effects of lifestyle factors, including smoking status, drinking status, and regular physical exercise, on the above associations. RESULTS: FI was significantly associated with lower MMSE score [β (95%Cl) = -0.28 (-0.43, -0.13)] and cognitive impairment [OR (95%Cl) = 1.19 (1.04, 1.35)]. The association of frailty status with MMSE were found to be stronger among ever smokers [β(95%Cl) = -1.08 (-1.64, -0.51)] and physical inactive individuals [β(95%Cl) = -1.59 (-2.63, -0.54)] while weaker or not significant among never smokers [β(95%Cl) = -0.30 (-0.62, 0.01)] and physical active individuals [β(95%Cl) = -0.37 (-0.65, -0.08))]. There were significant combined effects of frailty status with unhealthy lifestyles including smoking, alcohol drinking, and physical inactive on cognitive impairment. CONCLUSIONS: Frailty was associated with cognitive impairment among Chinese middle-aged and elderly people, while smoking cessation and regular physical exercise could attenuate the above associations, which highlight the potential preventive interventions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-023-03761-0. BioMed Central 2023-02-06 /pmc/articles/PMC9900934/ /pubmed/36747124 http://dx.doi.org/10.1186/s12877-023-03761-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Li, Fangqing Yan, Yike Zheng, Lei Wang, Chenming Guan, Xin Hong, Shiru Guo, Huan Frailty and its combined effects with lifestyle factors on cognitive function: a cross-sectional study |
title | Frailty and its combined effects with lifestyle factors on cognitive function: a cross-sectional study |
title_full | Frailty and its combined effects with lifestyle factors on cognitive function: a cross-sectional study |
title_fullStr | Frailty and its combined effects with lifestyle factors on cognitive function: a cross-sectional study |
title_full_unstemmed | Frailty and its combined effects with lifestyle factors on cognitive function: a cross-sectional study |
title_short | Frailty and its combined effects with lifestyle factors on cognitive function: a cross-sectional study |
title_sort | frailty and its combined effects with lifestyle factors on cognitive function: a cross-sectional study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900934/ https://www.ncbi.nlm.nih.gov/pubmed/36747124 http://dx.doi.org/10.1186/s12877-023-03761-0 |
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