A latent profile analysis of rest-activity behavior patterns among community-dwelling older adults and its relationship with intrinsic capacity

Na Li ^1,2,3, Nan Wang ³, Siyang Lin ¹

¹The Shengli Clinical Medical College of Fujian Medical University, Fuzhou, People's Republic of China.
²Department of Nursing, Fujian Provincial Hospital, Fuzhou, People's Republic of China.
³The School of Nursing, Fujian Medical University, Fuzhou, People's Republic of China.
⁴Fujian Provincial Institute of Clinical Geriatrics, Fuzhou, People's Republic of China.
⁵The Shengli Clinical Medical College of Fujian Medical University, Fuzhou, People's Republic of China. wmhf0327@126.com.
⁶Fujian Provincial Institute of Clinical Geriatrics, Fuzhou, People's Republic of China. wmhf0327@126.com.
⁷Fujian Provincial Center of Geriatrics, Fuzhou, People's Republic of China. wmhf0327@126.com.
⁸Fujian Provincial Key Laboratory of Geriatrics, Fuzhou, People's Republic of China. wmhf0327@126.com.
⁹The Shengli Clinical Medical College of Fujian Medical University, Fuzhou, People's Republic of China. zpl7755@hotmail.com.
¹⁰Fujian Provincial Institute of Clinical Geriatrics, Fuzhou, People's Republic of China. zpl7755@hotmail.com.
¹¹Fujian Provincial Center of Geriatrics, Fuzhou, People's Republic of China. zpl7755@hotmail.com.
¹²Fujian Provincial Key Laboratory of Geriatrics, Fuzhou, People's Republic of China. zpl7755@hotmail.com.

⁰The Shengli Clinical Medical College of Fujian Medical University, Fuzhou, People's Republic of China.

Scientific Reports +

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August 13, 2024

View abstract on PubMed

Summary

Rest-activity patterns in older adults significantly impact intrinsic capacity. High physical activity and moderate sleep ("Gorillas" and "Zebras") were linked to better intrinsic capacity, while sedentary lifestyles ("Koalas") showed the lowest.

Area Of Science

Gerontology
Behavioral Science
Public Health

Background

Rest-activity behavior patterns are crucial for intrinsic capacity in older adults but are understudied.
Understanding these patterns can help identify individuals at risk of declining intrinsic capacity.

Purpose Of The Study

To identify distinct clusters of rest-activity behaviors in community-dwelling older adults.
To investigate the relationship between these identified behavior profiles and intrinsic capacity.

Main Methods

Latent profile analysis was used to categorize 1253 older adults based on their rest-activity behaviors.
Logistic regression analysis examined the association between behavior profiles and intrinsic capacity.

Main Results

Three distinct profiles emerged: 'Gorillas' (high physical activity, moderate other behaviors), 'Zebras' (moderate physical activity, low sedentary behaviors, high sleep), and 'Koalas' (high sedentary behaviors, low physical activity and sleep).
The 'Gorillas' and 'Zebras' profiles showed a negative correlation with low intrinsic capacity, while the 'Koalas' profile exhibited the weakest intrinsic capacity.
Demographic factors like female sex, older age, living alone, and lower education also correlated with reduced intrinsic capacity.

Conclusions

Distinct rest-activity behavior patterns are associated with varying levels of intrinsic capacity in older adults.
Identifying these patterns can aid in early detection of individuals at risk and facilitate personalized interventions to enhance intrinsic capacity.

Keywords:

Intrinsic capacity Latent profile analysis Older adults Rest–activity behavior

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