A carregar...
Publicação
Evolving dynamics of neck muscle activation patterns in dental students : a longitudinal study
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 1011.78 KB | Adobe PDF |
Orientador(es)
Resumo(s)
Cervical pain has been linked to increased motor unit activity, potentially associated with the initiation and progression of chronic neck pain. Therefore, this study aimed to compare the time-course changes in cervical superficial muscle activation patterns among dental students with and without neck pain throughout their initial semester of clinical training. We used an online Nordic Musculoskeletal Questionnaire for group allocation between neck pain (NP) (n = 21) and control group (CG) (n = 23). Surface electromyography (sEMG) of the sternocleidomastoid and upper bilateral trapezius was recorded before starting their clinical practice and after their first semester while performing a cranio-cervical flexion test (CCFT) in five increasing levels between 22 mmHg and 30 mmHg. After the first semester, both the CG (p < 0.001) and NP (p = 0.038) groups showed decreased sternocleidomastoid activation. The NP group exhibited a concomitant increase in upper trapezius coactivation (p < 0.001), whereas the muscle activation pattern in asymptomatic students remained unchanged (p = 0.980). During the first semester of clinical training, dental students exhibited decreased superficial flexor activity, but those with neck pain had increased co-contraction of the upper trapezius, likely to stabilize the painful segment. This altered activation pattern could be associated with further dysfunction and symptoms, potentially contributing to chronicity.
Descrição
Palavras-chave
cervical pain dentistry students electromyography cranio-cervical flexion test activation pattern motor control
Contexto Educativo
Citação
Almeida MBd, Moreira M, Miranda-Oliveira P, Moreira J, Família C, Vaz JR, Moleirinho-Alves P, Oliveira R. Evolving Dynamics of Neck Muscle Activation Patterns in Dental Students: A Longitudinal Study. Sensors. 2024; 24(17):5689. https://doi.org/10.3390/s24175689
Editora
MDPI