Lifestyle factors that affect cognitive function-a longitudinal objective analysis

被引:1
|
作者
Kimura, Noriyuki [1 ]
Sasaki, Yuuki [1 ]
Masuda, Teruaki [1 ]
Ataka, Takuya [1 ]
Eguchi, Atsuko [1 ]
Kakuma, Tatsuyuki [2 ]
Matsubara, Etsuro [1 ]
机构
[1] Oita Univ, Fac Med, Dept Neurol, Yufu, Japan
[2] Kurume Univ, Biostat Ctr, Kurume, Japan
关键词
prospective cohort study; longitudinal analysis; physical activity; sleep quality; cognitive decline; REPORTED SLEEP DURATION; PHYSICAL-ACTIVITY; OLDER WOMEN; DECLINE; DEMENTIA; RISK; IMPAIRMENT; EXERCISE; INTERVENTION; PREVENTION;
D O I
10.3389/fpubh.2023.1215419
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] 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 GERIATRICS, 2023, 23 (01)
  • [2] Clustering of Midlife Lifestyle Behaviors and Subsequent Cognitive Function: A Longitudinal Study
    Kesse-Guyot, Emmanuelle
    Andreeva, Valentina A.
    Lassale, Camille
    Hercberg, Serge
    Galan, Pilar
    AMERICAN JOURNAL OF PUBLIC HEALTH, 2014, 104 (11) : E170 - E177
  • [3] Potentially modifiable lifestyle factors, cognitive reserve, and cognitive function in later life: A cross-sectional study
    Clare, Linda
    Wu, Yu-Tzu
    Teale, Julia C.
    MacLeod, Catherine
    Matthews, Fiona
    Brayne, Carol
    Woods, Bob
    PLOS MEDICINE, 2017, 14 (03)
  • [4] An Active Lifestyle Reinforces the Effect of a Healthy Diet on Cognitive Function: A Population-Based Longitudinal Study
    Shakersain, Behnaz
    Rizzuto, Debora
    Wang, Hui-Xin
    Faxen-Irving, Gerd
    Prinelli, Federica
    Fratiglioni, Laura
    Xu, Weili
    NUTRIENTS, 2018, 10 (09)
  • [5] Analysis of Causal Relationships by Structural Equation Modeling to Determine the Factors Influencing Cognitive Function in Elderly People in Japan
    Kimura, Daisuke
    Nakatani, Ken
    Takeda, Tokunori
    Fujita, Takashi
    Sunahara, Nobuyuki
    Inoue, Katsumi
    Notoya, Masako
    PLOS ONE, 2015, 10 (02):
  • [6] The relationship between objective physical activity and change in cognitive function
    Sewell, Kelsey R.
    Rainey-Smith, Stephanie R.
    Peiffer, Jeremiah
    Sohrabi, Hamid R.
    Taddei, Kevin
    Ames, David
    Maruff, Paul
    Masters, Colin L.
    Rowe, Christopher C.
    Martins, Ralph N.
    Erickson, Kirk I.
    Brown, Belinda M.
    ALZHEIMERS & DEMENTIA, 2023, 19 (07) : 2984 - 2993
  • [7] Self-reported Lifestyle Activities in Relation to Longitudinal Cognitive Trajectories
    Pettigrew, Corinne
    Shao, Yi
    Zhu, Yuxin
    Grega, Maura
    Brichko, Rostislav
    Wang, Mei-Cheng
    Carlson, Michelle C.
    Albert, Marilyn
    Soldan, Anja
    ALZHEIMER DISEASE & ASSOCIATED DISORDERS, 2019, 33 (01): : 21 - 28
  • [8] Lifestyle-Dependent Health Factors, Cognitive Aging and Dementia
    Helm, N.
    Duezel, S.
    KLINISCHE NEUROPHYSIOLOGIE, 2010, 41 (02) : 116 - 124
  • [9] How Lifestyle Factors Affect Cognitive and Executive Function and the Ability to Learn in Children
    Jirout, Jamie
    LoCasale-Crouch, Jennifer
    Turnbull, Khara
    Gu, Yin
    Cubides, Mavaris
    Garzione, Sarah
    Evans, Tanva M.
    Weltman, Arthur L.
    Kranz, Sibylle
    NUTRIENTS, 2019, 11 (08)
  • [10] Individual and environmental factors associated with cognitive function in older people: a longitudinal multilevel analysis
    Hsu, Hui-Chuan
    Bai, Chyi-Huey
    BMC GERIATRICS, 2022, 22 (01)