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Published on: June 7, 2024
A dataset on body composition, strength and performance in older adults
Arindam RoyChoudhury1, Chenghuiyun Xu1
1Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, Weill Cornell Medicine, Cornell University.
This study provides a valuable dataset on body composition, strength, and performance in older adults from the Rancho Bernardo Study. The data enable long-term modeling of how these factors influence each other over time.
Area of Science:
- Gerontology
- Biostatistics
- Human Physiology
Background:
- The Rancho Bernardo Study (RBS) is a longitudinal observational cohort study initiated between 1972-1974.
- Community-dwelling adults in Rancho Bernardo, California, were eligible for participation.
- A subset of participants attended follow-up visits every four years.
Purpose of the Study:
- To present a comprehensive dataset of body composition, strength, and performance measurements.
- To facilitate further research into the interrelationships between these metrics in older adults over extended periods.
- To provide data for advanced statistical modeling.
Main Methods:
- Data were collected from Visits 7-10 of the RBS.
- The dataset includes measurements from 1466 subjects with at least one recorded measure.
- Structural equation modeling was used to fit a feed-forward loop model for data analysis.
Main Results:
- The dataset captures longitudinal changes in body composition, strength, and performance.
- Analysis using a feed-forward loop model reveals interdependencies between these variables.
- The findings contribute to understanding the aging process in relation to physical capabilities.
Conclusions:
- The presented dataset is a valuable resource for researchers studying aging and physical function.
- The data support the development of predictive models for health outcomes in older adults.
- Further exploration of the data can yield deeper insights into the complex interplay of factors affecting healthy aging.
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