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Association of motor index scores with fall incidence among community-dwelling older people
BACKGROUND: Several kinds of motor dysfunction have been studied for predicting future fall risk in community-dwelling older individuals. However, no study has tested the ability of the fine motor index (FINEA) and gross motor index (GROSSA) to predict the risk of falling, as well as the specific fa...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9805168/ https://www.ncbi.nlm.nih.gov/pubmed/36585625 http://dx.doi.org/10.1186/s12877-022-03680-6 |
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author | Liu, Xiao Abudukeremu, Ayiguli Jiang, Yuan Cao, Zhengyu Wu, Maoxiong Zheng, Kai Ma, Jianyong Sun, Runlu Chen, Zhiteng Chen, Yangxin Zhang, Yuling Wang, Jingfeng |
author_facet | Liu, Xiao Abudukeremu, Ayiguli Jiang, Yuan Cao, Zhengyu Wu, Maoxiong Zheng, Kai Ma, Jianyong Sun, Runlu Chen, Zhiteng Chen, Yangxin Zhang, Yuling Wang, Jingfeng |
author_sort | Liu, Xiao |
collection | PubMed |
description | BACKGROUND: Several kinds of motor dysfunction have been studied for predicting future fall risk in community-dwelling older individuals. However, no study has tested the ability of the fine motor index (FINEA) and gross motor index (GROSSA) to predict the risk of falling, as well as the specific fall type. OBJECTIVE: We investigated the associations of FINEA/GROSSA scores with fall risk, explained falls, and unexplained falls. METHODS: A total of 6267 community-dwelling adults aged ≥ 50 years from the Irish Longitudinal Study on Aging (TILDA) cohort were included. First, the associations of FINEA and GROSSA scores with the history of total falls, explained falls and unexplained falls were assessed in a cross-sectional study and further verified in a prospective cohort after 2 years of follow-up by Poisson regression analysis. RESULTS: We found that high FINEA and GROSSA scores were positively associated with almost all fall histories (FINEA scores: total falls: adjusted prevalence ratio [aPR] = 1.28, P = 0.009; explained falls: aPR = 1.15, P = 0.231; unexplained falls: aPR = 1.88, P < 0.001; GROSSA scores: total falls: aPR = 1.39, P < 0.001; explained falls: aPR = 1.28, P = 0.012; unexplained falls: aPR = 2.18, P < 0.001) in a cross-sectional study. After 2 years of follow-up, high FINEA scores were associated with an increased incidence of total falls (adjusted rate ratio [aRR] = 1.42, P = 0.016) and explained falls (aRR = 1.51, P = 0.020) but not with unexplained falls (aRR = 1.41, P = 0.209). High GROSSA scores were associated with an increased incidence of unexplained falls (aRR = 1.57, P = 0.041) and were not associated with either total falls (aRR = 1.21, P = 0.129) or explained falls (aRR = 1.07, P = 0.656). Compared with individuals without limitations in either the FINEA or GROSSA, individuals with limitations in both indices had a higher risk of falls, including total falls (aRR = 1.35, P = 0.002), explained falls (aRR = 1.31, P = 0.033) and unexplained falls (aRR = 1.62, P = 0.004). CONCLUSION: FINEA scores were positively associated with accidental falls, while GROSSA scores were positively associated with unexplained falls. The group for whom both measures were impaired showed a significantly higher risk of both explained and unexplained falls. FINEA or GROSSA scores should be investigated further as possible tools to screen for and identify community-dwelling adults at high risk of falling. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03680-6. |
format | Online Article Text |
id | pubmed-9805168 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98051682023-01-01 Association of motor index scores with fall incidence among community-dwelling older people Liu, Xiao Abudukeremu, Ayiguli Jiang, Yuan Cao, Zhengyu Wu, Maoxiong Zheng, Kai Ma, Jianyong Sun, Runlu Chen, Zhiteng Chen, Yangxin Zhang, Yuling Wang, Jingfeng BMC Geriatr Research BACKGROUND: Several kinds of motor dysfunction have been studied for predicting future fall risk in community-dwelling older individuals. However, no study has tested the ability of the fine motor index (FINEA) and gross motor index (GROSSA) to predict the risk of falling, as well as the specific fall type. OBJECTIVE: We investigated the associations of FINEA/GROSSA scores with fall risk, explained falls, and unexplained falls. METHODS: A total of 6267 community-dwelling adults aged ≥ 50 years from the Irish Longitudinal Study on Aging (TILDA) cohort were included. First, the associations of FINEA and GROSSA scores with the history of total falls, explained falls and unexplained falls were assessed in a cross-sectional study and further verified in a prospective cohort after 2 years of follow-up by Poisson regression analysis. RESULTS: We found that high FINEA and GROSSA scores were positively associated with almost all fall histories (FINEA scores: total falls: adjusted prevalence ratio [aPR] = 1.28, P = 0.009; explained falls: aPR = 1.15, P = 0.231; unexplained falls: aPR = 1.88, P < 0.001; GROSSA scores: total falls: aPR = 1.39, P < 0.001; explained falls: aPR = 1.28, P = 0.012; unexplained falls: aPR = 2.18, P < 0.001) in a cross-sectional study. After 2 years of follow-up, high FINEA scores were associated with an increased incidence of total falls (adjusted rate ratio [aRR] = 1.42, P = 0.016) and explained falls (aRR = 1.51, P = 0.020) but not with unexplained falls (aRR = 1.41, P = 0.209). High GROSSA scores were associated with an increased incidence of unexplained falls (aRR = 1.57, P = 0.041) and were not associated with either total falls (aRR = 1.21, P = 0.129) or explained falls (aRR = 1.07, P = 0.656). Compared with individuals without limitations in either the FINEA or GROSSA, individuals with limitations in both indices had a higher risk of falls, including total falls (aRR = 1.35, P = 0.002), explained falls (aRR = 1.31, P = 0.033) and unexplained falls (aRR = 1.62, P = 0.004). CONCLUSION: FINEA scores were positively associated with accidental falls, while GROSSA scores were positively associated with unexplained falls. The group for whom both measures were impaired showed a significantly higher risk of both explained and unexplained falls. FINEA or GROSSA scores should be investigated further as possible tools to screen for and identify community-dwelling adults at high risk of falling. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03680-6. BioMed Central 2022-12-30 /pmc/articles/PMC9805168/ /pubmed/36585625 http://dx.doi.org/10.1186/s12877-022-03680-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Liu, Xiao Abudukeremu, Ayiguli Jiang, Yuan Cao, Zhengyu Wu, Maoxiong Zheng, Kai Ma, Jianyong Sun, Runlu Chen, Zhiteng Chen, Yangxin Zhang, Yuling Wang, Jingfeng Association of motor index scores with fall incidence among community-dwelling older people |
title | Association of motor index scores with fall incidence among community-dwelling older people |
title_full | Association of motor index scores with fall incidence among community-dwelling older people |
title_fullStr | Association of motor index scores with fall incidence among community-dwelling older people |
title_full_unstemmed | Association of motor index scores with fall incidence among community-dwelling older people |
title_short | Association of motor index scores with fall incidence among community-dwelling older people |
title_sort | association of motor index scores with fall incidence among community-dwelling older people |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9805168/ https://www.ncbi.nlm.nih.gov/pubmed/36585625 http://dx.doi.org/10.1186/s12877-022-03680-6 |
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