Intrarater and Interrater Reliability and Concurrent Validity of the 3-Meter Backward Walk Test in Non-frail, Pre-frail, and Frail Older Adults in Residential Care Homes
Notice bibliographique
Résumé
IMPORTANCE: Assessing backward walking ability in older adults is crucial due to its strong association with balance, mobility, and fall risk. The 3-meter backward walk test (3MBWT) provides a quick and valid tool for this purpose. OBJECTIVE: The objective of this study was to assess the reliability and validity of the 3MBWT and to determine its effectiveness in differentiating between different levels of frailty. DESIGN: This study used a cross-section design. SETTING: The study was carried out in residential care homes for older adults. PARTICIPANTS: Participants were able to walk with or without assistance and were excluded if they had a Mini-Mental State Examination score ≤ 17. INTERVENTIONS: Participants underwent the 3MBWT and the 10-meter walk test (10MWT). In addition, the Short Physical Performance Battery (SPPB) was administered. MAIN OUTCOME(S) AND MEASURE(S): Frailty was assessed using the SHARE-FI instrument, with participants classified as non-frail, pre-frail, or frail. Reliability of the 3MBWT was assessed using intraclass correlation coefficient (ICC [3,1]), and concurrent validity was assessed using the 10MWT and SPPB. Fall history over the past year was obtained from medical records and participant interviews. RESULTS: Participants (n = 217) were categorized as non-frail (27%), pre-frail (31%), or frail (42%). The average 3MBWT times were 5.0, 5.9, and 11.8 seconds for participants who were non-frail, pre-frail, and frail, respectively. The 3MBWT showed good to excellent intrarater reliability (ICC = 0.89-0.93) and excellent interrater reliability (ICC = 0.90-0.99). It showed strong correlations with the 10MWT (r = 0.91) and SPPB walking speed (r = 0.94), and a negative correlation with the SPPB total score (r = -0.86). Moderate correlations were found with the Falls Efficacy Scale International (r = 0.71) and Multidimensional Fatigue Inventory (r = 0.61), and a high correlation with falls in the last 12 months (r = 0.74). CONCLUSIONS: The 3MBWT is a reliable tool for assessing physical performance and differentiating levels of frailty in older adults, with a strong association with fall history. RELEVANCE: The 3MBWT offers clinicians a quick, simple, and valid tool for assessing older adults in residential care.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».