Associations of Sedentary and Physically-Active Behaviors With Cognitive-Function Decline in Community-Dwelling Older Adults: Compositional Data Analysis From the NEIGE Study

Journal of Epidemiology

Neville Owen¹  Takeo Fujiwara²  Shiho Amagasa³  Hiroyuki Kikuchi³  Shigeru Inoue³  Noritoshi Fukushima³  Masaki Machida³  Yugo Shobugawa⁴  Hiroshi Murayama⁵  Sebastien Chastin⁶ 

[1] Behavioral Epidemiology Laboratory, Baker Heart & Diabetes Institute, Melbourne, Victoria, Australia;Department of Global Health Promotion, Tokyo Medical and Dental University, Tokyo, Japan;Department of Preventive Medicine and Public Health, Tokyo Medical University, Tokyo, Japan;Division of International Health, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan;Institute of Gerontology, The University of Tokyo, Tokyo, Japan;School of Health and life Science, Institute of Applied Health Research, Glasgow Caledonian University, Glasgow, United Kingdom;

关键词: accelerometry;    aging;    exercise;    sedentary lifestyle;    neurocognitive disorders;   

DOI  :  10.2188/jea.JE20190141

来源: DOAJ

【 摘 要 】

Background: Physical activity can help to protect against cognitive decline in older adults. However, little is known about the potential combined relationships of time spent in sedentary behavior (SB), light-intensity physical activity (LPA), and moderate-to-vigorous physical activity (MVPA) with indices of cognitive health. We examined the cross-sectional associations of objectively-determined sedentary and physically-active behaviors with an indicator of cognitive function decline (CFD) in older adults. Methods: A randomly-recruited sample of 511 Japanese older adults (47% male; aged 65–84 years) wore a tri-axial accelerometer for 7 consecutive days in 2017. Cognitive function was assessed by interviewers using the Japanese version of Mini-Mental State Examination, with a score of ≤23 indicating CFD. Associations of sedentary and physically-active behaviors with CFD were examined using a compositional logistic regression analysis based on isometric log-ratio transformations of time use, adjusting for potential confounders. Results: Forty one (9.4%) of the participants had an indication of CFD. Activity compositions differed significantly between CFD and normal cognitive function (NCF); the proportion of time spent in MVPA was 39.1% lower, relative to the overall mean composition in those with CFD, and was 5.3% higher in those with NCF. There was a significant beneficial association of having a higher proportion of MVPA relative to other activities with CFD. LPA and SB were not associated with CFD when models were corrected for time spent in all activity behaviors. Conclusions: Larger relative contribution of MVPA was favorably associated with an indicator of CFD in older adults.

【 授权许可】

Unknown