Actigraphy Estimated Sleep Moderates the Relationship between Physical Activity and Cognition in Older Adults.


Journal

Mental health and physical activity
ISSN: 1755-2966
Titre abrégé: Ment Health Phys Act
Pays: England
ID NLM: 101476300

Informations de publication

Date de publication:
Mar 2024
Historique:
pmc-release: 01 03 2025
medline: 24 1 2024
pubmed: 24 1 2024
entrez: 24 1 2024
Statut: ppublish

Résumé

Physical inactivity and poor sleep are common in older adults and may interact to contribute to age- and disease-related cognitive decline. However, prior work regarding the associations among physical activity, and cognition in older adults is primarily limited to subjective questionnaires that are susceptible to inaccuracies and recall bias. Therefore, this study examined whether objectively measured physical activity and sleep characteristics, each estimated using actigraphy, are independently or interactively associated with cognitive performance. The study included 157 older adults free of dementia (136 cognitively unimpaired; 21 MCI; M age = 71.7) from the BIOCARD cohort. Using multiple linear regression, cognition was regressed on estimated total volume of physical activity (TVPA), sleep efficiency (SE), wake after sleep onset (WASO), and total sleep time (TST) (adjusted for age, sex, education, diagnosis, vascular risk factors, and These results suggest that TVPA and SE may synergistically benefit cognition in older adults.

Sections du résumé

Background and Aims UNASSIGNED
Physical inactivity and poor sleep are common in older adults and may interact to contribute to age- and disease-related cognitive decline. However, prior work regarding the associations among physical activity, and cognition in older adults is primarily limited to subjective questionnaires that are susceptible to inaccuracies and recall bias. Therefore, this study examined whether objectively measured physical activity and sleep characteristics, each estimated using actigraphy, are independently or interactively associated with cognitive performance.
Methods UNASSIGNED
The study included 157 older adults free of dementia (136 cognitively unimpaired; 21 MCI; M age = 71.7) from the BIOCARD cohort.
Results UNASSIGNED
Using multiple linear regression, cognition was regressed on estimated total volume of physical activity (TVPA), sleep efficiency (SE), wake after sleep onset (WASO), and total sleep time (TST) (adjusted for age, sex, education, diagnosis, vascular risk factors, and
Conclusion UNASSIGNED
These results suggest that TVPA and SE may synergistically benefit cognition in older adults.

Identifiants

pubmed: 38264712
doi: 10.1016/j.mhpa.2023.100573
pmc: PMC10803079
pii:
doi:

Types de publication

Journal Article

Langues

eng

Déclaration de conflit d'intérêts

Conflicts of Interest: Dr. Vadim Zipunnikov consults with Takeda Pharmaceuticals. The details of the contracts are disclosed through the Johns Hopkins University eDisclose system and have no direct or apparent relationship with the current paper. Adam Spira received payment for serving as a consultant for Merck, received honoraria from Springer Nature Switzerland AG for guest editing special issues of Current Sleep Medicine Reports, and is a paid consultant to Sequoia Neurovitality and BellSant, Inc. Declaration of interests The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Daniel D Callow (DD)

Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD.
Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States.

Vadim Zipunnikov (V)

Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Adam P Spira (AP)

Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Johns Hopkins Center on Aging and Health, Baltimore, MD, USA.

Sarah K Wanigatunga (SK)

Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Corinne Pettigrew (C)

Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD.

Marilyn Albert (M)

Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD.

Anja Soldan (A)

Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD.

Classifications MeSH