García-de-Villa, SaraGarcía-Villamil Neira, GuillermoNeira Álvarez, MartaHuertas-Hoyas, ElisabetRuiz Ruiz, LuisaJ. del-Ama, AntonioRodríguez Sánchez, María CristinaJiménez, Antonio R.2024-01-092024-01-092023-08-25García-de-Villa, S., Neira, G.GV., Álvarez, M.N. et al. A database with frailty, functional and inertial gait metrics for the research of fall causes in older adults. Sci Data 10, 566 (2023). https://doi.org/10.1038/s41597-023-02428-02052-4463https://hdl.handle.net/10115/28297This dataset creation was supported by a grant from the FUNDACIÓN MAPFRE “Ayudas a la investigación de Ignacio H. de Larramendi, 2020” and the contributions from other complementary resources: GAIT2CARE NextGeneration EU/PRTR project (TED2021-132429B-I00) by MCIN/AEI/10.13039/501100011033, INDRI PID2021-122642OB-C43 (MCIU/AEI/10.13039/501100011033/FEDER, UE), Spanish Ministry of Science, Grant No. MICROCEBUS RTI2018-095168-B-C55 (MCIU/AEI/FEDER, UE) and NEXTPERCEPTION European Union project funded by ECSEL Joint Undertaking (JU), under grant agreement No.876487 (ECSEL-2019-2-RIA), which receives support from the European Union’s Horizon 2020 research and innovation program and Finland, Spain (MCIN/AEI PCI2020-112040), Italy, Germany, Czech Republic, Belgium, Netherlands.The GSTRIDE database contains information of the health status assessment of 163 elderly adults. We provide socio-demographic data, functional and frailty variables, and the outcomes from tests commonly performed for the evaluation of elder people. The database contains gait parameters estimated from the measurements of an Inertial Measurement Unit (IMU) placed on the foot of volunteers. These parameters include the total walking distance, the number of strides and multiple spatio-temporal gait parameters, such as stride length, stride time, speed, foot angles and clearance, among others. The main processed database is stored, apart from MS Excel, in CSV format to ensure their usability. The database is complemented with the raw IMU recordings in TXT format, in order to let researchers test other algorithms of gait analysis. We include the Python programming codes as a base to reproduce or modify them. The database stores data to study the frailty-related parameters that distinguish faller and non-faller populations, and analyze the gait-related parameters in the frail subjects, which are essential topics for the elderly.engAtribución 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/GeriatricsPredictive markersQuality of lifeRisk factorsinfo:eu-repo/semantics/article10.1038/s41597-023-02428-0info:eu-repo/semantics/embargoedAccess