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Lifestyle factors that affect cognitive function–a longitudinal objective analysis
BACKGROUND: Identifying lifestyle factors associated with cognitive decline has critical clinical and public health implications for dementia prevention in later life. The longitudinal associations of sleep and physical activity with cognitive function remain unclear. This study examined whether obj...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10425549/ https://www.ncbi.nlm.nih.gov/pubmed/37588122 http://dx.doi.org/10.3389/fpubh.2023.1215419 |
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author | Kimura, Noriyuki Sasaki, Yuuki Masuda, Teruaki Ataka, Takuya Eguchi, Atsuko Kakuma, Tatsuyuki Matsubara, Etsuro |
author_facet | Kimura, Noriyuki Sasaki, Yuuki Masuda, Teruaki Ataka, Takuya Eguchi, Atsuko Kakuma, Tatsuyuki Matsubara, Etsuro |
author_sort | Kimura, Noriyuki |
collection | PubMed |
description | BACKGROUND: Identifying lifestyle factors associated with cognitive decline has critical clinical and public health implications for dementia prevention in later life. The longitudinal associations of sleep and physical activity with cognitive function remain unclear. This study examined whether objectively measured sleep and physical activity were longitudinally associated with cognitive function in older adults over a three-year period. METHODS: This prospective cohort study enrolled 855 community-dwelling adults aged 65 and older, who were followed from 2015 to 2019. All participants were required to wear a wearable sensor for 7 consecutive days every 3 months and had annual cognitive assessments. Wearable sensor data (August 2015–September 2019) and Mini-Mental State Examination (MMSE) scores (August 2015–April 2019) were collected over 3 years of follow-up. First, principal component analysis was conducted to reduce the dimensions of the sleep and physical activity variables to two principal components for inclusion in a mixed-effects model. The sleep index consisted of sleep efficiency, time awake after sleep onset, and waking frequency. The physical activity index was composed of walking comprised steps per day and time devoted to light or moderate-to-vigorous physical activity. A higher sleep index indicated poor sleep quality, whereas a lower physical activity index indicated less physical activity. Second, a linear mixed effect model was used to examine the longitudinal association of sleep and physical activity indices with cognitive decline over time. RESULTS: In total, 855 adults were recruited for this study at baseline. Of these, 729 adults (85.3%) completed a measurement of lifestyle factors and an annual cognitive testing, whereas 126 were excluded because of death or loss during follow-up. After adjusting for age, sex, education level, and time, the sleep index was inversely associated with MMSE scores (estimate, −0.06229; standard error, 0.02202; p = 0.0047) and the physical activity index was positively associated with MMSE scores (estimate, 0.06699; standard error, 0.03343; p = 0.0453). CONCLUSION: Poor sleep quality and lower physical activity were significant risk factors for subsequent cognitive decline in older adults. The present study facilitates the development of novel evidence-based interventions for physical activity and sleep quality to delay cognitive decline. |
format | Online Article Text |
id | pubmed-10425549 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104255492023-08-16 Lifestyle factors that affect cognitive function–a longitudinal objective analysis Kimura, Noriyuki Sasaki, Yuuki Masuda, Teruaki Ataka, Takuya Eguchi, Atsuko Kakuma, Tatsuyuki Matsubara, Etsuro Front Public Health Public Health BACKGROUND: Identifying lifestyle factors associated with cognitive decline has critical clinical and public health implications for dementia prevention in later life. The longitudinal associations of sleep and physical activity with cognitive function remain unclear. This study examined whether objectively measured sleep and physical activity were longitudinally associated with cognitive function in older adults over a three-year period. METHODS: This prospective cohort study enrolled 855 community-dwelling adults aged 65 and older, who were followed from 2015 to 2019. All participants were required to wear a wearable sensor for 7 consecutive days every 3 months and had annual cognitive assessments. Wearable sensor data (August 2015–September 2019) and Mini-Mental State Examination (MMSE) scores (August 2015–April 2019) were collected over 3 years of follow-up. First, principal component analysis was conducted to reduce the dimensions of the sleep and physical activity variables to two principal components for inclusion in a mixed-effects model. The sleep index consisted of sleep efficiency, time awake after sleep onset, and waking frequency. The physical activity index was composed of walking comprised steps per day and time devoted to light or moderate-to-vigorous physical activity. A higher sleep index indicated poor sleep quality, whereas a lower physical activity index indicated less physical activity. Second, a linear mixed effect model was used to examine the longitudinal association of sleep and physical activity indices with cognitive decline over time. RESULTS: In total, 855 adults were recruited for this study at baseline. Of these, 729 adults (85.3%) completed a measurement of lifestyle factors and an annual cognitive testing, whereas 126 were excluded because of death or loss during follow-up. After adjusting for age, sex, education level, and time, the sleep index was inversely associated with MMSE scores (estimate, −0.06229; standard error, 0.02202; p = 0.0047) and the physical activity index was positively associated with MMSE scores (estimate, 0.06699; standard error, 0.03343; p = 0.0453). CONCLUSION: Poor sleep quality and lower physical activity were significant risk factors for subsequent cognitive decline in older adults. The present study facilitates the development of novel evidence-based interventions for physical activity and sleep quality to delay cognitive decline. Frontiers Media S.A. 2023-07-31 /pmc/articles/PMC10425549/ /pubmed/37588122 http://dx.doi.org/10.3389/fpubh.2023.1215419 Text en Copyright © 2023 Kimura, Sasaki, Masuda, Ataka, Eguchi, Kakuma and Matsubara. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Kimura, Noriyuki Sasaki, Yuuki Masuda, Teruaki Ataka, Takuya Eguchi, Atsuko Kakuma, Tatsuyuki Matsubara, Etsuro Lifestyle factors that affect cognitive function–a longitudinal objective analysis |
title | Lifestyle factors that affect cognitive function–a longitudinal objective analysis |
title_full | Lifestyle factors that affect cognitive function–a longitudinal objective analysis |
title_fullStr | Lifestyle factors that affect cognitive function–a longitudinal objective analysis |
title_full_unstemmed | Lifestyle factors that affect cognitive function–a longitudinal objective analysis |
title_short | Lifestyle factors that affect cognitive function–a longitudinal objective analysis |
title_sort | lifestyle factors that affect cognitive function–a longitudinal objective analysis |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10425549/ https://www.ncbi.nlm.nih.gov/pubmed/37588122 http://dx.doi.org/10.3389/fpubh.2023.1215419 |
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