[P2-572]: EXAMINING RELATIONSHIPS OF PHYSICAL ACTIVITY AND SEDENTARY BEHAVIOUR WITH COGNITIVE FUNCTION AMONG OLDER ADULTS WITH MILD COGNITIVE IMPAIRMENT: A CROSS-SECTIONAL STUDY

2017 ◽  
Vol 13 (7S_Part_17) ◽  
pp. P865-P866 ◽  
Author(s):  
Ryan S. Falck ◽  
Glenn J. Landry ◽  
John R. Best ◽  
Jennifer Davis ◽  
Teresa Liu-Ambrose
2017 ◽  
Vol Volume 12 ◽  
pp. 275-282 ◽  
Author(s):  
Huiloo Won ◽  
Zahara Abdul Manaf ◽  
Arimi Fitri Mat Ludin ◽  
Mohd Azahadi Omar ◽  
Rosdinom Razali ◽  
...  

2021 ◽  
Author(s):  
Leona Connolly ◽  
Joanna McHugh Power ◽  
Brian Lawlor

Abstract Background To address the paucity of literature regarding the relationship between mild cognitive impairment and physical activity engagement, this study aimed to understand the relative contribution of cognitive, demographic, physical and psychological variables related to physical activity engagement in individuals with mild cognitive impairment. Method This was a descriptive, cross – sectional study of secondary data from 62 participants with MCI (mean age 70.53, SD = 6.34), 53.2% female, median MoCA 23 (IQR: 20, 24)) from the NeuroExercise study, a 12 – month PA intervention on the outcome of cognitive function. The independent variable of interest was global cognitive function. Age, gender, years of education, number of medications, handgrip strength, depression, and quality of life were treated as covariates. The dependent variable was PA engagement in minutes per week, using the LAPAQ physical activity questionnaire and the Actigraph triaxial accelerometer device. Results Hierarchical regression analyses showed no significant effect of cognitive function on physical activity engagement after controlling for the effects of covariates. Physical activity engagement was low relative to global physical activity guidelines ((M = 111.38, SD = 94.29) Actigraph ( t (51) = -2.95, p < .005) and the LAPAQ (M = 51.71, SD = 22.80), t (61) = -33.94, p = < .001)). A Bland- Altman measure of agreement demonstrated that objective and subjective measures of physical activity were not equivalent. Conclusions This sample of adults with MCI were not sufficiently physically active. Further, there was substantial variability between objective and subjective measures of physical activity engagement. Objective measurement of PA data may be more reliable for adults with mild cognitive impairment.


2018 ◽  
Vol 74 (7) ◽  
pp. 1142-1151 ◽  
Author(s):  
Shannon Halloway ◽  
Konstantinos Arfanakis ◽  
JoEllen Wilbur ◽  
Michael E Schoeny ◽  
Susan J Pressler

Abstract Objectives Physical activity (PA) is a modifiable health behavior that can protect against age-related gray matter atrophy and cognitive dysfunction. Current studies of PA and gray matter failed to utilize device measures of PA and do not focus on adults >80 years. Thus, the purpose of this secondary analysis was to examine cross-sectional associations between accelerometer lifestyle PA and (a) gray matter volumes and (b) cognitive function, controlling for demographics, and health status. Method Participants were 262 older adults without dementia or mild cognitive impairment from Rush Memory and Aging Project, an epidemiological cohort study. Participants wore an accelerometer to assess total daily lifestyle PA, and completed anatomical magnetic resonance imaging to assess gray matter volumes and a neurocognitive test battery to assess cognitive function. Results Multivariate linear regression indicated that higher levels of total daily lifestyle PA was significantly related to larger gray matter volumes, F(2, 215) = 3.61, p = .027, including subcortical gray matter (β = 0.17, p = .007) and total gray matter (β = 0.11, p = .049), with no significant associations between lifestyle PA and cognitive function. Discussion These findings may inform future lifestyle PA interventions in order to attenuate age-related gray matter atrophy.


2017 ◽  
Vol 97 (10) ◽  
pp. 975-984 ◽  
Author(s):  
Ryan S. Falck ◽  
Glenn J. Landry ◽  
John R. Best ◽  
Jennifer C. Davis ◽  
Bryan K. Chiu ◽  
...  

Author(s):  
Dan Song ◽  
Doris S. F. Yu ◽  
Qiuhua Sun ◽  
Guijuan He

Individuals with mild cognitive impairment (MCI) are at high risk for dementia development. Sleep disturbance is often overlooked in MCI, although it is an important risk factor of cognitive decline. In the absence of a cure for dementia, managing the risk factors of cognitive decline in MCI is likely to delay disease progression. To develop interventions for sleep disturbance in MCI, its related factors should be explored. This study aimed to identify and compare the correlates of sleep disturbance in older adults with MCI and those in cognitively healthy older adults. A comparative cross-sectional study was adopted. Data were obtained from 219 Chinese community-dwelling older adults (female: 70.3%), which consisted of 127 older adults with MCI and 92 age-matched cognitively healthy controls. The candidate correlates of sleep disturbance included socio-demographic correlates, health-related factors, lifestyle-related factors and psychological factor. Descriptive, correlational and regression statistics were used for data analysis. The prevalence of sleep disturbance in MCI was 70.1% compared to that of 56.5% in cognitively healthy controls (p < 0.001). The multivariate analysis indicated that, in participants with MCI, depressive symptoms (Beta = 0.297, p = 0.001), comorbidity burden (Beta = 0.215, p = 0.012) and physical activity (Beta = −0.297, p = 0.001) were associated with sleep disturbance. However, in the cognitively healthy controls, only depressive symptoms (Beta = 0.264, p = 0.028) and comorbidity burden (Beta = 0.361, p = 0.002) were associated with sleep disturbance. This finding highlights that sleep disturbance is sufficiently prominent to warrant evaluation and management in older adults with MCI. Furthermore, the findings elucidate several important areas to target in interventions aimed at promoting sleep in individuals with MCI.


2015 ◽  
Vol 6 ◽  
pp. S104
Author(s):  
V. Booth ◽  
P. Logan ◽  
T. Masud ◽  
V. Hood ◽  
V. Van Der Wardt ◽  
...  

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