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Value of the short physical performance battery (SPPB) in predicting fall and fall-induced injury among old Chinese adults
BACKGROUND: The short physical performance battery (SPPB) is an easy-to-use tool for fall risk prediction, but its predictive value for falls and fall-induced injuries among community dwellers has not been examined through a large-sample longitudinal study. METHODS: We analyzed five-round follow-up...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507826/ https://www.ncbi.nlm.nih.gov/pubmed/37723438 http://dx.doi.org/10.1186/s12877-023-04290-6 |
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author | Li, Weiqiang Rao, Zhenzhen Fu, Yanhong Schwebel, David C. Li, Li Ning, Peishan Huang, Jiaqi Hu, Guoqing |
author_facet | Li, Weiqiang Rao, Zhenzhen Fu, Yanhong Schwebel, David C. Li, Li Ning, Peishan Huang, Jiaqi Hu, Guoqing |
author_sort | Li, Weiqiang |
collection | PubMed |
description | BACKGROUND: The short physical performance battery (SPPB) is an easy-to-use tool for fall risk prediction, but its predictive value for falls and fall-induced injuries among community dwellers has not been examined through a large-sample longitudinal study. METHODS: We analyzed five-round follow-up data (2, 3, 4, 5, 7 years) of the China Health and Retirement Longitudinal Study (CHARLS) (2011–2018). Data concerning falls and fall-induced injuries during multi-round follow-ups were collected through participant self-report. The Cochran-Armitage trend test examined trends in fall incidence rate across SPPB performance levels. Multivariable logistic regression and negative binomial regression models examined associations between SPPB performance and subsequent fall and fall-induced injury. The goodness-of-fit and area under the receiver operating curve (AUC) were used together to quantify the value of the SPPB in predicting fall and fall-induced injury among community-dwelling older adults. RESULTS: The CHARLS study included 9279, 6153, 4142, 4148, and 3583 eligible adults aged 60 years and older in the five included follow-up time periods. SPPB performance was associated with fall and fall-induced injury in two and three of the five follow-up time periods, respectively (P < 0.05). The goodness-of-fit for all predictive models was poor, with both Cox-Snell R(2) and Nagelkerke R(2) under 0.10 and AUCs of 0.53–0.57 when using only SPPB as a predictor and with both Cox-Snell R(2) and Nagelkerke R(2) lower than 0.12 and AUCs of 0.61–0.67 when using SPPB, demographic variables, and self-reported health conditions as predictors together. Sex and age-specific analyses displayed highly similar results. CONCLUSIONS: Neither use of SPPB alone nor SPPB together with demographic variables and self-reported health conditions appears to offer good predictive performance for falls or fall-induced injuries among community-dwelling older Chinese adults. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-023-04290-6. |
format | Online Article Text |
id | pubmed-10507826 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105078262023-09-20 Value of the short physical performance battery (SPPB) in predicting fall and fall-induced injury among old Chinese adults Li, Weiqiang Rao, Zhenzhen Fu, Yanhong Schwebel, David C. Li, Li Ning, Peishan Huang, Jiaqi Hu, Guoqing BMC Geriatr Research BACKGROUND: The short physical performance battery (SPPB) is an easy-to-use tool for fall risk prediction, but its predictive value for falls and fall-induced injuries among community dwellers has not been examined through a large-sample longitudinal study. METHODS: We analyzed five-round follow-up data (2, 3, 4, 5, 7 years) of the China Health and Retirement Longitudinal Study (CHARLS) (2011–2018). Data concerning falls and fall-induced injuries during multi-round follow-ups were collected through participant self-report. The Cochran-Armitage trend test examined trends in fall incidence rate across SPPB performance levels. Multivariable logistic regression and negative binomial regression models examined associations between SPPB performance and subsequent fall and fall-induced injury. The goodness-of-fit and area under the receiver operating curve (AUC) were used together to quantify the value of the SPPB in predicting fall and fall-induced injury among community-dwelling older adults. RESULTS: The CHARLS study included 9279, 6153, 4142, 4148, and 3583 eligible adults aged 60 years and older in the five included follow-up time periods. SPPB performance was associated with fall and fall-induced injury in two and three of the five follow-up time periods, respectively (P < 0.05). The goodness-of-fit for all predictive models was poor, with both Cox-Snell R(2) and Nagelkerke R(2) under 0.10 and AUCs of 0.53–0.57 when using only SPPB as a predictor and with both Cox-Snell R(2) and Nagelkerke R(2) lower than 0.12 and AUCs of 0.61–0.67 when using SPPB, demographic variables, and self-reported health conditions as predictors together. Sex and age-specific analyses displayed highly similar results. CONCLUSIONS: Neither use of SPPB alone nor SPPB together with demographic variables and self-reported health conditions appears to offer good predictive performance for falls or fall-induced injuries among community-dwelling older Chinese adults. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-023-04290-6. BioMed Central 2023-09-18 /pmc/articles/PMC10507826/ /pubmed/37723438 http://dx.doi.org/10.1186/s12877-023-04290-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Li, Weiqiang Rao, Zhenzhen Fu, Yanhong Schwebel, David C. Li, Li Ning, Peishan Huang, Jiaqi Hu, Guoqing Value of the short physical performance battery (SPPB) in predicting fall and fall-induced injury among old Chinese adults |
title | Value of the short physical performance battery (SPPB) in predicting fall and fall-induced injury among old Chinese adults |
title_full | Value of the short physical performance battery (SPPB) in predicting fall and fall-induced injury among old Chinese adults |
title_fullStr | Value of the short physical performance battery (SPPB) in predicting fall and fall-induced injury among old Chinese adults |
title_full_unstemmed | Value of the short physical performance battery (SPPB) in predicting fall and fall-induced injury among old Chinese adults |
title_short | Value of the short physical performance battery (SPPB) in predicting fall and fall-induced injury among old Chinese adults |
title_sort | value of the short physical performance battery (sppb) in predicting fall and fall-induced injury among old chinese adults |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507826/ https://www.ncbi.nlm.nih.gov/pubmed/37723438 http://dx.doi.org/10.1186/s12877-023-04290-6 |
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