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Enregistrement W2404608464 · doi:10.1111/jgs.14115

Decrease in Upright Postural Sway from Open to Closed Eyes: Episodic Memory Impairment Matters, Too

2016· letter· en· W2404608464 sur OpenAlexaff
Olivier Beauchet, Elise J. Levinoff, Gilles Allali

Notice bibliographique

RevueJournal of the American Geriatrics Society · 2016
Typeletter
Langueen
DomaineHealth Professions
ThématiqueBalance, Gait, and Falls Prevention
Établissements canadiensJewish General HospitalMcGill University Health CentreMcGill UniversityUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésDementiaMedicineProprioceptionPhysical medicine and rehabilitationEpisodic memoryBalance (ability)Postural instabilityDepression (economics)CognitionAudiologyPsychiatryDiseaseParkinson's disease

Résumé

récupéré en direct d'OpenAlex

The ability to maintain the body's center of gravity above a small base of support is defined by an upright stable posture characterized by body sways in the anterior–posterior (AP) and medial–lateral (ML) directions.1, 2 Maintaining an upright stable posture with closed eyes is challenging.3 The variation in postural sway from open to closed eyes is used as a measurement of balance impairment; a wide magnitude of variation is associated with greater postural instability.1-5 Poor lower limb proprioception and vision, and cognitive decline contribute to postural instability.4, 5 The specific effect of early memory decline on upright postural stability has been not fully examined. Gait instability has been associated with isolated episodic memory (category of declarative memory mainly related to autobiographical events that can be explicitly stated) impairment.6 It was hypothesized that episodic memory impairment would influence upright postural stability in individuals without dementia. This study aimed to determine whether episodic memory impairment was associated with large variation from open to closed eyes in static upright postural sway in individuals without dementia. Based on a cross-sectional design, 1,589 healthy community-dwelling individuals without dementia were recruited at the Health Examination Center, Lyon, France. Information was recorded on age (mean age 70.6 ± 4.9), sex (50.0% women), body mass index (BMI; mean 26.3 ± 4.2 kg/m2), number of drugs taken daily (mean 2.9 ± 2.5), and use of psychoactive drugs (benzodiazepines, antidepressants, neuroleptics; 18.7%). A four-item Geriatric Depression Scale score of 1 or greater (23.9%) was used to screen for depressive symptoms.7 Lower limb proprioception was evaluated using a graduated tuning fork placed on the tibial tuberosity.4 The mean proprioception value was obtained for the right and left lower extremities (6.3 ± 1.7/8). Distance binocular vision was measured at 5 m using a Monoyer letter chart (mean 7.1 ± 2.2/10).4 Fear of falling (FOF, 21.3%) was assessed by asking, "Are you afraid of falling?"8 History of falls (31.6%) over the past year was ascertained. Episodic memory was assessed using the short version of Mini-Mental State Examination, composed of three successive parts (free recall of 3 words, two short distractive tasks, delayed recall of 3 words). Scores ranged from 0 (worst) to 6 (best); a score of 5 or less (22.8%) designates poor episodic memory performance.9 Static upright postural sway on a firm surface was measured on a force platform (101 × 101 cm; BioRescue, Dune, Rodez, France).4 Participants were asked to maintain a barefoot standing position with eyes open for 30 seconds and closed for 30 seconds. Total upright postural sway in the AP and ML directions was recorded in millimeters. The variation from open to closed eyes was calculated using the following formula: ((AP + ML (eyes closed)) − (AP + ML (eyes open))/((AP + ML (eyes closed)) + (AP + ML (eyes open))/2)) × 100. The Lyon Sud-Est III local ethical committee approved the study. A multiple linear regression model (Table 1) was developed to examine the association between the variation from open to closed eyes in static upright postural sway (dependent variable) and participant characteristics (independent variables). Mean value of upright postural sway was 237.5 ± 207.1 mm when participants' eyes were open and 257.4 ± 228.1 mm when participants' eyes were closed. Older age (P < .001), higher BMI (P = .01), better vision (P < .001), FOF (P = .006), and history of falls (P = .01) were associated with greater postural sway from open to closed eyes, whereas greater lower-limb proprioception score (P < .001) and episodic memory impairment (P = .02) were associated with less postural sway. The main finding was that episodic memory impairment was associated with less upright postural sway when participants' eyes were closed than when their eyes were open. This finding may be interpreted as an early impairment associated with the highest levels of upright postural control. Postural instability is usually characterized by greater postural sway.1-5 These results confirm this statement in part because greater postural sway was found in participants with a history of falls and FOF, both factors usually associated with postural instability,4, 8 but less postural sway with memory impairment is an opposite unexpected motor behavior. Variability in postural sway is necessary to maintain upright posture.1-4 Therefore, this finding may be interpreted as an early dysfunction of static postural control related to episodic memory impairment. This result is in accordance with the fact that the hippocampus is involved in postural control through the activation of the "place cells" and the "head direction cells" during vestibular inputs.10 We are grateful to the participants for their cooperation. Conflict of Interest: The editor in chief has reviewed the conflict of interest checklist provided by the authors and has determined that the authors have no financial or any other kind of personal conflicts with this paper. Prof. Beauchet has served as an unpaid consultant for Ipsen Pharma company and as a board member for Gériatrie, Psychologie et Neuropsychiatrie du Vieillissement. He has no relevant financial interest in this manuscript. Author Contributions: Prof. Beauchet has full access to the study data. Beauchet, Allali: study concept and design: analysis and interpretation of data. Beauchet: acquisition of data; drafting of manuscript; statistical expertise; administrative, technical, material support. Levinoff, Allali: critical revision of manuscript for important intellectual content. Allali: study supervision. Sponsor's Role: Not applicable.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,004
Score d'incertitude au seuil0,013

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0000,000
Intégrité de la recherche0,0010,000
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,018
Tête enseignante GPT0,337
Écart entre enseignants0,319 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations5
Publié2016
Routes d'admission1
Résumé présentoui

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