Lifestyle factors that affect cognitive function–a longitudinal objective analysis

BackgroundIdentifying 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 objec...

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Main Authors: Noriyuki Kimura, Yuuki Sasaki, Teruaki Masuda, Takuya Ataka, Atsuko Eguchi, Tatsuyuki Kakuma, Etsuro Matsubara
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Public Health
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2023.1215419/full
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author Noriyuki Kimura
Yuuki Sasaki
Teruaki Masuda
Takuya Ataka
Atsuko Eguchi
Tatsuyuki Kakuma
Etsuro Matsubara
author_facet Noriyuki Kimura
Yuuki Sasaki
Teruaki Masuda
Takuya Ataka
Atsuko Eguchi
Tatsuyuki Kakuma
Etsuro Matsubara
author_sort Noriyuki Kimura
collection DOAJ
description BackgroundIdentifying 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.MethodsThis 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.ResultsIn 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).ConclusionPoor 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.
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spelling doaj.art-cfb4de1b713841cca46a65f4042ec8d02023-07-31T21:40:36ZengFrontiers Media S.A.Frontiers in Public Health2296-25652023-07-011110.3389/fpubh.2023.12154191215419Lifestyle factors that affect cognitive function–a longitudinal objective analysisNoriyuki Kimura0Yuuki Sasaki1Teruaki Masuda2Takuya Ataka3Atsuko Eguchi4Tatsuyuki Kakuma5Etsuro Matsubara6Department of Neurology, Faculty of Medicine, Oita University, Yufu, JapanDepartment of Neurology, Faculty of Medicine, Oita University, Yufu, JapanDepartment of Neurology, Faculty of Medicine, Oita University, Yufu, JapanDepartment of Neurology, Faculty of Medicine, Oita University, Yufu, JapanDepartment of Neurology, Faculty of Medicine, Oita University, Yufu, JapanBiostatics Center, Kurume University, Kurume, JapanDepartment of Neurology, Faculty of Medicine, Oita University, Yufu, JapanBackgroundIdentifying 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.MethodsThis 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.ResultsIn 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).ConclusionPoor 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.https://www.frontiersin.org/articles/10.3389/fpubh.2023.1215419/fullprospective cohort studylongitudinal analysisphysical activitysleep qualitycognitive decline
spellingShingle Noriyuki Kimura
Yuuki Sasaki
Teruaki Masuda
Takuya Ataka
Atsuko Eguchi
Tatsuyuki Kakuma
Etsuro Matsubara
Lifestyle factors that affect cognitive function–a longitudinal objective analysis
Frontiers in Public Health
prospective cohort study
longitudinal analysis
physical activity
sleep quality
cognitive decline
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 prospective cohort study
longitudinal analysis
physical activity
sleep quality
cognitive decline
url https://www.frontiersin.org/articles/10.3389/fpubh.2023.1215419/full
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