Successful 10-second one-legged stance performance predicts survival in middle-aged and older individuals

Autor: Claudio Gil Araujo, Christina Grüne de Souza e Silva, Jari Antero Laukkanen, Maria Fiatarone Singh, Setor Kwadzo Kunutsor, Jonathan Myers, João Felipe Franca, Claudia Lucia Castro
Rok vydání: 2022
Předmět:
Zdroj: British Journal of Sports Medicine. 56:975-980
ISSN: 1473-0480
0306-3674
DOI: 10.1136/bjsports-2021-105360
Popis: ObjectivesBalance quickly diminishes after the mid-50s increasing the risk for falls and other adverse health outcomes. Our aim was to assess whether the ability to complete a 10- s one-legged stance (10-second OLS) is associated with all-cause mortality and whether it adds relevant prognostic information beyond ordinary demographic, anthropometric and clinical data.MethodsAnthropometric, clinical and vital status and 10-s OLS data were assessed in 1702 individuals (68% men) aged 51–75 years between 2008 and 2020. Log-rank and Cox modelling were used to compare survival curves and risk of death according to ability (YES) or inability (NO) to complete the 10-s OLS test.ResultsOverall, 20.4% of the individuals were classified as NO. During a median follow-up of 7 years, 7.2% died, with 4.6% (YES) and 17.5% (NO) on the 10-s OLS. Survival curves were worse for NO 10-s OLS (log-rank test=85.6; p<0.001)) for NO individuals. Adding 10-s OLS to a model containing established risk factors was associated with significantly improved mortality risk prediction as measured by differences in −2 log likelihood and integrated discrimination improvement.ConclusionsWithin the limitations of uncontrolled variables such as recent history of falls and physical activity, the ability to successfully complete the 10-s OLS is independently associated with all-cause mortality and adds relevant prognostic information beyond age, sex and several other anthropometric and clinical variables. There is potential benefit to including the 10-s OLS as part of routine physical examination in middle-aged and older adults.
Databáze: OpenAIRE