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Enregistrement W3001297305 · doi:10.1093/ptj/pzaa017

Screening for Preclinical Balance Limitations in Younger Older Adults: Time for a Paradigm Shift?

2020· letter· en· W3001297305 sur OpenAlexaff
Marla Beauchamp

Notice bibliographique

RevuePhysical Therapy · 2020
Typeletter
Langueen
DomaineHealth Professions
ThématiqueBalance, Gait, and Falls Prevention
Établissements canadiensMcMaster University
Organismes subventionnairesnon disponible
Mots-clésBalance (ability)Paradigm shiftPsychologyMedicineGerontologyPhysical medicine and rehabilitation

Résumé

récupéré en direct d'OpenAlex

The article by Gordt et al1 in the January issue of PTJ describes the development and validation of a balance screening test for younger older adults aged 60 to 70 years of age. The shortened Community Balance & Mobility scale (s-CBM) is a 4-item test that takes 10 minutes to administer and has comparable psychometric properties to the full CBM in younger older adults. This is an important contribution, given that few studies have assessed the measurement properties of balance tests in younger older adults, and many commonly used balance tests provide insufficient challenge to balance to detect early functional loss.2 In addition, the small number of existing higher-level balance tests tend to have long administration times, which make them unfeasible for many practice settings. Early and quick identification of subtle changes in balance with aging or disease is potentially critical for preventing later-life mobility loss and falls. However, in current clinical practice, our focus is often reactive rather than proactive; balance testing is not routinely conducted until after a first fall or injury. Indeed, clinical practice guidelines for fall risk assessment and prevention in community-dwelling older adults only recommend screening for balance and mobility problems in individuals with a previous fall history or who self-report difficulty with standing or walking.3,4 It is likely that this represents a missed opportunity to prevent a first fall for many older adults. In aging research, the term preclinical mobility limitation (often referred to as “preclinical disability”) has been used to describe a stage of early functional loss—an asymptomatic decline in mobility in which individuals are able to compensate for early losses in function without a strong perception of difficulty.5 These compensations, such as modifying the frequency or speed of task performance, can be unconscious, and older adults often perceive no difficulty with their mobility, which may prevent them from seeking treatment. This is problematic, as older adults with preclinical mobility limitation have an increased risk of developing overt mobility loss and disease.6,7 For example, in the Women’s Health and Aging Study II (WHAS II), the probability of developing incident mobility difficulty over 18 months in women with preclinical mobility limitation was 26% to 31%, compared with only 7% to 12% in those with no preclinical mobility limitation at baseline.6 The presence of preclinical mobility limitation has also been shown to increase the risk of falling in older adults.8,9 Identification of preclinical mobility limitation in middle-aged and older adults provides the opportunity for early intervention to delay or reduce mobility decline and prevent adverse health events in later life. Although performance on static standing balance tests can reliably identify those with preclinical mobility limitation,10 some of the most commonly used tests (eg, semitandem and tandem stance, functional reach) are unable to predict the transition from preclinical mobility limitation to mobility loss.6,11 This is perhaps not surprising given the known ceiling effects with many of these measures in younger and higher-functioning participants. In a large population-based Finnish study of adults aged 30 years and older (n = 7979), semitandem and tandem standing balance tasks had a ceiling effect in individuals under the age of 60 years, whereas more sophisticated force platform measures of postural sway were able to show a deterioration in balance by middle age (as early as 40 to 49 years) with a more marked decline after the age of 60.12 In order to detect early declines in mobility with aging, tests with a higher difficulty level are needed.13 For example, longitudinal data from the InCHIANTI study shows that, although performance in the 4-m usual gait speed test declines only after about the age of 65, decline in the 4-m fast gait speed test can be seen as early as 40 to 50 years of age.13 Similar results were observed for the 400-m walk test compared with the shorter tests of gait speed. Thus, for walking-related mobility, longer distance and faster paced tests are needed to detect early changes in mobility with aging. Although longitudinal data on changes in balance performance with aging are scarce, similar trends can be observed with cross-sectional data. For standing balance tests, balance deficits are noted starting in middle age when people close their eyes or stand on a foam pad, or when more challenging positions are used such as standing on one leg.14 In fact, single-leg stance was the only static balance test that predicted the transition from preclinical mobility limitation to mobility difficulty in the WHAS II.9 Additionally, comprehensive balance tests that measure more components of balance, such as the Balance Evaluation Systems Test, can detect deteriorations in balance in each decade of life beginning at age 60 in adults who are healthy.15 Longitudinal data from large and representative samples are needed to better understand age-related changes in balance; however, existing data suggest that screening for balance limitations should begin prior to 65 years of age using tests with higher challenge to balance (ie, narrower base of support, altered visual or somatosensory input, dynamic tasks). The s-CBM developed by Gordt et al includes 3 items performed on one leg (single-leg stance, lateral foot “scooting,” and hopping) as well as a “walk, look, and carry” task that assesses multiple aspects of dynamic balance, including dual-task ability. The authors found no floor or ceiling effects with the s-CBM in their sample of younger older adults (mean age = 66 years) and excellent convergent validity with the longer parent CBM test (originally developed for high-functioning adults with traumatic brain injury),16 suggesting that the test items are sufficiently difficult to detect preclinical balance limitation in younger older adults. Prospective studies including participants with a broader age range will be important for determining if tests such as s-CBM can better detect early age-related changes in balance than traditional tools as well as predict the risk for adverse health events including falls. Weiss et al suggested that there is adequate evidence to warrant screening for preclinical mobility limitation in clinical practice.17 Given that balance follows a similar trajectory to age-related changes in walking, and given the importance of balance for predicting mobility loss and falls, it is time to consider assessing preclinical balance limitation alongside traditional measures of preclinical walking limitation in younger older adults. In particular, more challenging tests are needed to assess early balance decline in adults under the age of 65, and the study by Gordt and colleagues is an important first step in this direction. Further research is required to determine if subclinical balance deficits detected in younger older adults via tests such as the s-CBM can be used to identify those at future risk of falling and developing mobility loss. There also remains a recognized need for empirical evidence to demonstrate that providing early intervention to individuals identified as having preclinical limitations can mitigate mobility loss and adverse health outcomes such as falls in older adulthood. Despite the long road ahead, such upstream approaches could have tremendous benefit in reducing the enormous burden of falls and mobility problems in older adulthood.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,094
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,119
Tête enseignante GPT0,407
Écart entre enseignants0,288 · 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 tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

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

En bref

Citations3
Publié2020
Routes d'admission1
Résumé présentoui

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