Age-related differences in passive trunk stiffness, seated spine postures, and muscle recruitment patterns
Notice bibliographique
Résumé
Introduction: Age is associated with changes in tissue stiffness as well as higher muscle activity and an increase in the prevalence of low back pain. With increased worker age globally, and with the increased incidence of occupational sitting, it is important to understand how trunk stiffness changes with age and how this trunk stiffness is affected by sitting in older, sedentary workers. Methods: 37 women (aged 20-65 years) participated in the current study. Age was classified two ways: Chronological Age and Fitness Age (based on performance in fitness battery). Trunk stiffness was measured using a passive trunk flexion apparatus described in literature. Participants sat for 60 minutes at a computer workstation throughout which, at 10-minute intervals, seated spine posture, perceived low back discomfort, and muscle activity (EMG) for 6 bilateral trunk muscles were recorded. Correlations were used to assess relationships between age and stiffness, perceived discomfort, posture, and EMG variables; and ANOVAs were used to detect differences in stiffness, posture, and muscle activation between age and discomfort groups. Results: Trunk stiffness increased significantly with age, with the strongest of these relationships measured with Fitness Age (r = 0.517, p = 0.003). Age was not related to posture or to the magnitude of movement displayed while sitting; however, trunk stiffness was negatively correlated with seated spine motion (r = -0.435, p = 0.023). There was no relationship between age or discomfort with muscle activation patters. Conclusions: Age showed a positive relationship with stiffness, which was stronger when examining Fitness Age than Chronological Age. This suggests that age-related research could be improved using measures of fitness rather than age (based on year of birth). Furthermore, the decreased movement while sitting with elevated spine stiffness suggests that altered tissue material properties could affect the manner in which people perform seated work, leaving them more susceptible to the effects of static postures including reduced blood flow, nerve impingement, and associated discomfort or injuries. Further investigation is warranted to find an easy way to monitor trunk material properties in the workplace in order to control for their effect on worker health.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| 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 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
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 source (Gemma direct ou Codex distillé), 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 ».