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Thresholds for clinical practice that directly link handgrip strength to remaining years of life: estimates based on longitudinal observational data
OBJECTIVE: Muscle strength is a powerful predictor of mortality that can quickly and inexpensively be assessed by measuring handgrip strength (HGS). What is missing for clinical practice, however, are empirically meaningful cut-off points that apply to the general population and that consider the co...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9315893/ https://www.ncbi.nlm.nih.gov/pubmed/35868825 http://dx.doi.org/10.1136/bmjopen-2021-058489 |
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author | Scherbov, Sergei Spitzer, Sonja Steiber, Nadia |
author_facet | Scherbov, Sergei Spitzer, Sonja Steiber, Nadia |
author_sort | Scherbov, Sergei |
collection | PubMed |
description | OBJECTIVE: Muscle strength is a powerful predictor of mortality that can quickly and inexpensively be assessed by measuring handgrip strength (HGS). What is missing for clinical practice, however, are empirically meaningful cut-off points that apply to the general population and that consider the correlation of HGS with gender and body height as well as the decline in HGS during processes of normal ageing. This study provides standardised thresholds that directly link HGS to remaining life expectancy (RLE), thus enabling practitioners to detect patients with an increased mortality risk early on. DESIGN: Relying on representative observational data from the Health and Retirement Study, the HGS of survey participants was z-standardised by gender, age and body height. We defined six HGS groups based on cut-off points in SD; we use these as predictors in survival analyses with a 9-year follow-up and provide RLE by gender based on a Gompertz model for each HGS group. PARTICIPANTS: 8156 US American women and men aged 50–80 years. MAIN OUTCOME MEASURES: Z-standardised HGS and all-cause mortality. RESULTS: Even slight negative deviations in HGS from the reference group with [0.0 SD, 0.5 SD) have substantial effects on survival. RLE among individuals aged 60 years with standardised HGS of [−0.5 SD, 0.0 SD) is 3.0/1.4 years lower for men/women than for the reference group, increasing to a difference of 4.1/2.6 years in the group with HGS of [−1.0 SD, −0.5 SD). By contrast, we find no benefit of strong HGS related to survival. CONCLUSIONS: HGS varies substantially with gender, age and body height. This confirms the importance of considering these heterogeneities when defining reference groups and risk thresholds. Moreover, survival appears to decrease at much higher levels of muscle strength than is assumed in previous literature, suggesting that medical practitioners should start to become concerned when HGS is slightly below that of the reference group. |
format | Online Article Text |
id | pubmed-9315893 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-93158932022-08-16 Thresholds for clinical practice that directly link handgrip strength to remaining years of life: estimates based on longitudinal observational data Scherbov, Sergei Spitzer, Sonja Steiber, Nadia BMJ Open Geriatric Medicine OBJECTIVE: Muscle strength is a powerful predictor of mortality that can quickly and inexpensively be assessed by measuring handgrip strength (HGS). What is missing for clinical practice, however, are empirically meaningful cut-off points that apply to the general population and that consider the correlation of HGS with gender and body height as well as the decline in HGS during processes of normal ageing. This study provides standardised thresholds that directly link HGS to remaining life expectancy (RLE), thus enabling practitioners to detect patients with an increased mortality risk early on. DESIGN: Relying on representative observational data from the Health and Retirement Study, the HGS of survey participants was z-standardised by gender, age and body height. We defined six HGS groups based on cut-off points in SD; we use these as predictors in survival analyses with a 9-year follow-up and provide RLE by gender based on a Gompertz model for each HGS group. PARTICIPANTS: 8156 US American women and men aged 50–80 years. MAIN OUTCOME MEASURES: Z-standardised HGS and all-cause mortality. RESULTS: Even slight negative deviations in HGS from the reference group with [0.0 SD, 0.5 SD) have substantial effects on survival. RLE among individuals aged 60 years with standardised HGS of [−0.5 SD, 0.0 SD) is 3.0/1.4 years lower for men/women than for the reference group, increasing to a difference of 4.1/2.6 years in the group with HGS of [−1.0 SD, −0.5 SD). By contrast, we find no benefit of strong HGS related to survival. CONCLUSIONS: HGS varies substantially with gender, age and body height. This confirms the importance of considering these heterogeneities when defining reference groups and risk thresholds. Moreover, survival appears to decrease at much higher levels of muscle strength than is assumed in previous literature, suggesting that medical practitioners should start to become concerned when HGS is slightly below that of the reference group. BMJ Publishing Group 2022-07-22 /pmc/articles/PMC9315893/ /pubmed/35868825 http://dx.doi.org/10.1136/bmjopen-2021-058489 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Geriatric Medicine Scherbov, Sergei Spitzer, Sonja Steiber, Nadia Thresholds for clinical practice that directly link handgrip strength to remaining years of life: estimates based on longitudinal observational data |
title | Thresholds for clinical practice that directly link handgrip strength to remaining years of life: estimates based on longitudinal observational data |
title_full | Thresholds for clinical practice that directly link handgrip strength to remaining years of life: estimates based on longitudinal observational data |
title_fullStr | Thresholds for clinical practice that directly link handgrip strength to remaining years of life: estimates based on longitudinal observational data |
title_full_unstemmed | Thresholds for clinical practice that directly link handgrip strength to remaining years of life: estimates based on longitudinal observational data |
title_short | Thresholds for clinical practice that directly link handgrip strength to remaining years of life: estimates based on longitudinal observational data |
title_sort | thresholds for clinical practice that directly link handgrip strength to remaining years of life: estimates based on longitudinal observational data |
topic | Geriatric Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9315893/ https://www.ncbi.nlm.nih.gov/pubmed/35868825 http://dx.doi.org/10.1136/bmjopen-2021-058489 |
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