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A dataset on body composition, strength and performance in older adults
This article presents a dataset of body composition, strength and performance measurements in older adults; the data were collected as part of Rancho Bernardo Study (RBS), a longitudinal observational cohort study. All community dwelling adults in Rancho Bernardo, California between 1972 and 1974 we...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6997633/ https://www.ncbi.nlm.nih.gov/pubmed/32025539 http://dx.doi.org/10.1016/j.dib.2019.105103 |
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author | RoyChoudhury, Arindam Xu, Chenghuiyun |
author_facet | RoyChoudhury, Arindam Xu, Chenghuiyun |
author_sort | RoyChoudhury, Arindam |
collection | PubMed |
description | This article presents a dataset of body composition, strength and performance measurements in older adults; the data were collected as part of Rancho Bernardo Study (RBS), a longitudinal observational cohort study. All community dwelling adults in Rancho Bernardo, California between 1972 and 1974 were eligible for participation in the study. A subset of the participants returned every four years for subsequent visits. The dataset in this publication consists of some of the measures taken in Visits 7–10, for 1466 subjects who had at least one of these measures taken. We analysed the data with a feed-forward loop model fitted by structural equation modelling. The data can be valuable for modelling and extracting further information on how body composition, strength and performance affect each other over a long period of time. The data are analysed and interpreted in the research article RoyChoudhury et al., 2019. |
format | Online Article Text |
id | pubmed-6997633 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-69976332020-02-05 A dataset on body composition, strength and performance in older adults RoyChoudhury, Arindam Xu, Chenghuiyun Data Brief Medicine and Dentistry This article presents a dataset of body composition, strength and performance measurements in older adults; the data were collected as part of Rancho Bernardo Study (RBS), a longitudinal observational cohort study. All community dwelling adults in Rancho Bernardo, California between 1972 and 1974 were eligible for participation in the study. A subset of the participants returned every four years for subsequent visits. The dataset in this publication consists of some of the measures taken in Visits 7–10, for 1466 subjects who had at least one of these measures taken. We analysed the data with a feed-forward loop model fitted by structural equation modelling. The data can be valuable for modelling and extracting further information on how body composition, strength and performance affect each other over a long period of time. The data are analysed and interpreted in the research article RoyChoudhury et al., 2019. Elsevier 2020-01-03 /pmc/articles/PMC6997633/ /pubmed/32025539 http://dx.doi.org/10.1016/j.dib.2019.105103 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Medicine and Dentistry RoyChoudhury, Arindam Xu, Chenghuiyun A dataset on body composition, strength and performance in older adults |
title | A dataset on body composition, strength and performance in older adults |
title_full | A dataset on body composition, strength and performance in older adults |
title_fullStr | A dataset on body composition, strength and performance in older adults |
title_full_unstemmed | A dataset on body composition, strength and performance in older adults |
title_short | A dataset on body composition, strength and performance in older adults |
title_sort | dataset on body composition, strength and performance in older adults |
topic | Medicine and Dentistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6997633/ https://www.ncbi.nlm.nih.gov/pubmed/32025539 http://dx.doi.org/10.1016/j.dib.2019.105103 |
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