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Gait disturbances as specific predictive markers of the first fall onset in elderly people: a two-year prospective observational study

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  • معلومة اضافية
    • Contributors:
      Motricité, interactions, performance EA 4334 / Movement - Interactions - Performance (MIP); Le Mans Université (UM)-Centre Hospitalier Universitaire de Nantes = Nantes University Hospital (CHU Nantes)-Université de Nantes - UFR des Sciences et Techniques des Activités Physiques et Sportives (UFR STAPS); Université de Nantes (UN)-Université de Nantes (UN); Up-COURTINE Lab; Ecole Polytechnique Fédérale de Lausanne (EPFL); Génétique Animale et Biologie Intégrative (GABI); Institut National de la Recherche Agronomique (INRA)-AgroParisTech; Unité de biologie intégrative des adaptations à l'exercice (UBIAE); Université d'Évry-Val-d'Essonne (UEVE)-Institut National de la Santé et de la Recherche Médicale (INSERM); Service de Rhumatologie; Centre Hospitalier de Laval (CH Laval); Gérontopôle des Pays de la Loire; Centre Hospitalier Universitaire de Nantes = Nantes University Hospital (CHU Nantes); Service de Gériatrie; Region of Pays de la Loire, France; Research Mission of Directorate for Research Studies, Evaluation and Statistics (Direction de la recherche, des etudes, de l'evaluation et des statistiques-MiRe-DRESS); IRePS (French public health research institute)
    • بيانات النشر:
      HAL CCSD
      Frontiers
    • الموضوع:
      2014
    • Collection:
      Inserm: HAL (Institut national de la santé et de la recherche médicale)
    • نبذة مختصرة :
      International audience ; Falls are common in the elderly, and potentially result in injury and disability. Thus, preventing falls as soon as possible in older adults is a public health priority, yet there is no specific marker that is predictive of the first fall onset. We hypothesized that gait features should be the most relevant variables for predicting the first fall. Clinical baseline characteristics (e.g., gender, cognitive function) were assessed in 259 home-dwelling people aged 66 to 75 that had never fallen. Likewise, global kinetic behavior of gait was recorded from 22 variables in 1036 walking tests with an accelerometric gait analysis system. Afterward, monthly telephone monitoring reported the date of the first fall over 24 months. A principal components analysis was used to assess the relationship between gait variables and fall status in four groups: non-fallers, fallers from 0 to 6 months, fallers from 6 to 12 months and fallers from 12 to 24 months. The association of significant principal components (PC) with an increased risk of first fall was then evaluated using the area under the Receiver Operator Characteristic Curve (ROC). No effect of clinical confounding variables was shown as a function of groups. An eigenvalue decomposition of the correlation matrix identified a large statistical PC1 (termed "Global kinetics of gait pattern"), which accounted for 36.7% of total variance. Principal component loadings also revealed a PC2 (12.6% of total variance), related to the "Global gait regularity" Subsequent ANOVAs showed that only PC1 discriminated the fall status during the first 6 months, while PC2 discriminated the first fall onset between 6 and 12 months. After one year, any PC was associated with falls. These results were bolstered by the ROC analyses, showing good predictive models of the first fall during the first six months or from 6 to 12 months. Overall, these findings suggest that the performance of a standardized walking test at least once a year is essential for fall prevention.
    • Relation:
      info:eu-repo/semantics/altIdentifier/pmid/24611048; hal-01193825; https://hal.science/hal-01193825; https://hal.science/hal-01193825/document; https://hal.science/hal-01193825/file/2014_Mignardot_Frontiers%20in%20Aging%20Neuroscience_1.pdf; PRODINRA: 261484; PUBMED: 24611048; WOS: 000331999800001
    • الرقم المعرف:
      10.3389/fnagi.2014.00022
    • الدخول الالكتروني :
      https://hal.science/hal-01193825
      https://hal.science/hal-01193825/document
      https://hal.science/hal-01193825/file/2014_Mignardot_Frontiers%20in%20Aging%20Neuroscience_1.pdf
      https://doi.org/10.3389/fnagi.2014.00022
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.79293267