@article {11227, title = {Handgrip strength asymmetry is associated with future falls in older Americans.}, journal = {Aging Clinical and Experimental Research}, volume = {33}, year = {2021}, pages = {2461-2469}, abstract = {

BACKGROUND: Examining handgrip strength (HGS) asymmetry could extend the utility of handgrip dynamometers for screening future falls.

AIMS: We sought to determine the associations of HGS asymmetry on future falls in older Americans.

METHODS: The analytic sample included 10,446 adults aged at least 65~years from the 2006-2016 waves of the Health and Retirement Study. Falls were self-reported. A handgrip dynamometer measured HGS. The highest HGS on each hand was used for determining HGS asymmetry ratio: (non-dominant HGS/dominant HGS). Those with HGS asymmetry ratio < 1.0 had their ratio inverted to make all HGS asymmetry ratios >= 1.0. Participants were categorized into asymmetry groups based on their inverted HGS asymmetry ratio: (1) 0.0-10.0\%, (2) 10.1-20.0\%, (3) 20.1-30.0\%, and (4) > 30.0\%. Generalized estimating equations were used for the analyses.

RESULTS: Every 0.10 increase in HGS asymmetry ratio was associated with 1.26 (95\% confidence interval (CI) 1.07-1.48) greater odds for future falls. Relative to those with HGS asymmetry 0.0-10.0\%, participants with HGS asymmetry > 30.0\% had 1.15 (CI 1.01-1.33) greater odds for future falls; however, the associations were not significant for those with HGS asymmetry 10.1-20.0\% (odds ratio: 1.06; CI 0.98-1.14) and 20.1-30.0\% (odds ratio: 1.10; CI 0.99-1.22). Compared to those with HGS asymmetry 0.0-10.0\%, participants with HGS asymmetry > 10.0\% and > 20.0\% had 1.07 (CI 1.01-1.16) and 1.12 (CI 1.02-1.22) greater odds for future falls, respectively.

DISCUSSION: Asymmetric HGS, as a possible biomarker of impaired neuromuscular function, may help predict falls.

CONCLUSIONS: We recommend that HGS asymmetry be considered in HGS protocols and fall risk assessments.

}, keywords = {Asymmetric HGS, Falls, impaired neuromuscular function}, issn = {1720-8319}, doi = {10.1007/s40520-020-01757-z}, author = {Ryan P McGrath and Brian C Clark and Cesari, Matteo and Johnson, Carol and Donald A Jurivich} }