UNASSIGNED: To gain a better understanding of @entity2956 ( @entity2956 ) @entity158 in adolescents, it is important to study the factors associated with its presence. Therefore, the aim of this study was to investigate potential predictors for @entity2531 in adolescents, thereby including a diversity of factors from the biopsychosocial model to determine the strongest predictors. The sample of this cross-sectional study consisted of 1094 adolescents. The presence of @entity2531 was assessed using the RDC/ @entity2956 , @entity2270 . Apart from demographical characteristics, the roles of parafunctional habits, psychosocial aspects, menarche and other @entity158 complaints were evaluated. Single and multiple logistic regression models were used to identify associations between the predictor variables and @entity2531 . Painful @entity2956 had a prevalence of 25  5%. Logistic regression analyses showed that @entity2531 was associated with @entity10410 (OR  =  1  8 95% CI  =  1  34-2  34), awake @entity8599 (OR  =  2  1 95% CI  =  1  56-2  83), other parafunctional habits (OR  =  2  2 95% CI  =  1  17-4  08) and @entity158 complaints (OR  =  5  0 95% CI  =  3  48-7  28). Parafunctional habits and other @entity158 complaints may play an important role in the presence of @entity2531 in adolescents. Of course, it remains unclear whether the observed associations between the investigated factors and the adolescent's @entity2531 have a true causal linkage.

Factors associated with @entity2956 XXXX in adolescents.

@entity2956 :: ('MESH:D013705', 'Disease') :: ['TMD', 'temporomandibular disorders'] @entity10410 :: ('MESH:D020186', 'Disease') :: ['sleep bruxism'] @entity2531 :: ('MESH:D013001', 'Disease') :: ['TMD pain'] @entity158 :: ('MESH:D010146', 'Disease') :: ['pain', 'bodily pain'] @entity2270 :: ('MESH:C566610', 'Disease') :: ['Axis I'] @entity8599 :: ('MESH:D002012', 'Disease') :: ['bruxism']
@entity158 :: (MESH:D010146,Disease) :: ['pain']
