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Exercise, PA, Sleep Quality and Cognitive Function Among Older Adults.

NCT ID: NCT05834322

Last Updated: 2023-04-28

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

150 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-04-01

Study Completion Date

2024-08-30

Brief Summary

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The rapid increase in the prevalence of dementia in Taiwan poses an economic burden on healthcare systems as well as the families of the patients. Thus, how to prevent dementia is a crucial issue. Mild cognitive impairment (MCI) is defined as cognitive decline objectively and subjectively and it has been deemed as a transitional state between normal cognition and dementia. Identifying and preventing MCI can be a venue for reducing the prevalence of dementia. Sleep and physical activity are modifiable risk factors of MCI. Both factors could influence brain structure, such as the volume of the hippocampus. As a result, physical activity and adequate sleep are helpful to prevent the decline of cognitive function. In addition, sleep could regulate physical activity and change cognitive function indirectly. To our knowledge, there has been no research investigating the relationship between sleep, physical activity, and cognitive function in Taiwan. Hence, this research will aim to explore the relationship between sleep, physical activity, and cognitive function. Whether sleep and physical activity can be predictors of MCI will be investigated. We will recruit 150 participants aged above 65, who haven't been diagnosed with MCI or dementia. The measurements will include the Chinese version of The Pittsburgh Sleep Quality Index (PSQI), the Chinese Version of the Physical Activity Scale for the Elderly (PASE-C), and the Chinese version of Montreal Cognitive Assessment (MoCA). The relationship between sleep, physical activity level, and cognitive function will be analyzed by multiple linear regression and Pearson correlations. A prediction equation will be established.

Detailed Description

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Conditions

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Cognitive Function

Keywords

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physical activity cognitive function sleep older adults

Study Design

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Observational Model Type

COHORT

Study Time Perspective

CROSS_SECTIONAL

Eligibility Criteria

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Inclusion Criteria

* aged above 65
* haven't been diagnosed with MCI or dementia
* be able to read and write in Chinese

Exclusion Criteria

* elders who unable to talk or communicate
Minimum Eligible Age

65 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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National Changhua University of Education

OTHER

Sponsor Role lead

Responsible Party

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Yu-Hsuan Lee

Graduate Student

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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National Chunghua University of education

Changhua, , Taiwan

Site Status RECRUITING

Countries

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Taiwan

Central Contacts

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Yu-Hsuan Lee

Role: CONTACT

Phone: +886975690234

Email: [email protected]

Facility Contacts

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Yu-Hsuan Lee

Role: primary

Other Identifiers

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NCUEREC-112-009

Identifier Type: -

Identifier Source: org_study_id