Sociodemographic Profile: A Forgotten Factor in Temporomandibular Disorders? A Scoping Review.
Ivo Henrique Alexandrino CarapinhaGiancarlo De la Torre CanalesRodrigo Lorenzi PoluhaMariana Barbosa Câmara-SouzaNikolaos ChristidisMalin ErnbergAndré Mariz Coelho Santos de AlmeidaAna Cristina Garcia de Matos MansoPublished in: Journal of pain research (2024)
The literature on Temporomandibular Disorders (TMD) incidence commonly reports sociodemographic factors such as gender and age. However, the role and prevalence of other sociodemographic factors in TMD are not well defined. Therefore, this scoping review aimed to report the prevalence of sociodemographic factors in TMD patients. A systematic search was conducted in the PubMed and Web of Science databases to identify clinical trials in adult populations, using the Research Diagnostic Criteria for TMD (RDC/TMD) or the Diagnostic Criteria for TMD (DC/TMD) and reporting sociodemographic data in TMD patients. Twenty-seven studies meeting the criteria were included in this review. The most commonly reported sociodemographic factors assessed in the included studies were age, race, education, job, income, and marital status. TMD prevalence was observed to be higher among younger and divorced individuals among the included studies. However, conflicting results were found for education level, and employment was not considered a risk factor for TMD. Although this review has methodological limitations, it suggests an association between TMD incidence and certain sociodemographic factors; nevertheless, further studies are needed to establish this relationship more conclusively.
Keyphrases
- risk factors
- end stage renal disease
- clinical trial
- ejection fraction
- newly diagnosed
- healthcare
- chronic kidney disease
- peritoneal dialysis
- emergency department
- prognostic factors
- public health
- mental health
- systematic review
- case control
- physical activity
- patient reported outcomes
- quality improvement
- big data
- randomized controlled trial
- immune response
- young adults
- adverse drug
- social support
- deep learning
- patient reported
- phase iii