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

Relationship Between Exercise, Physical Activity Levels, Sleep Quality and Cognitive Function Among Older Adults.

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05834322
Enrollment
150
Registered
2023-04-28
Start date
2023-04-01
Completion date
2024-08-30
Last updated
2023-04-28

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cognitive Function

Keywords

physical activity, cognitive function, sleep, older adults

Brief summary

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.

Interventions

None listed

Sponsors

National Changhua University of Education
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
65 Years to No maximum
Healthy volunteers
Yes

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

Design outcomes

Primary

MeasureTime frameDescription
Cognitive functionat the time the participants enrollChinese version of Montreal Cognitive Assessment (MoCA) will be use to assess cognitive function
Sleep qualityat the time the participants enrollChinese version of The Pittsburgh Sleep Quality Index (PSQI) will be use to assess sleep quality
Physical activity levelsat the time the participants enrollChinese Version of the Physical Activity Scale for the Elderly (PASE-C) will be use to assess physical activity levels

Countries

Taiwan

Contacts

Primary ContactYu-Hsuan Lee
xuanyolee@gmail.com+886975690234

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026