Background and Aim: Multiple Sclerosis (MS) is a chronic autoimmune disease that destroys the myelin of the central nervous system, gradually impairing bodily functions and balance. This study aims to predict rumination based on anxiety sensitivity and alexithymia, with lifestyle acting as a mediating factor in women with MS. Methods: This correlational descriptive study employed a simple random sampling method to select 158 women with MS from the Iranian MS Patients Association in Tehran, Iran, in 2022. Participants completed the Ruminative Response Scale (Nolen-Hoeksema & Morrow, 1991), Anxiety Sensitivity Index (Reiss et al., 1986), Toronto Alexithymia Scale (TAS-20, Bagby et al., 1994), and Laali et al. lifestyle questionnaires. Data were analyzed using Pearson's correlation coefficient tests, hierarchical regression analysis in SPSS version 26, and path analysis in Lisrel version 10. Results: In women with MS, anxiety sensitivity and alexithymia showed a positive correlation with rumination, while lifestyle had a negative correlation with rumination (P < 0.001). Lifestyle played a mediating role in the relationship between anxiety sensitivity, alexithymia, and rumination (P < 0.001). Conclusion: Anxiety sensitivity and alexithymia, through their influence on lifestyle, contribute to the rumination experienced by women with MS. To reduce rumination in this population, it is suggested that healthcare professionals specializing in MS should address anxiety sensitivity and alexithymia while promoting a healthy lifestyle among their patients.

Introduction: Considering the effect of dental hygiene in people’ s general health and since facilitation of community members’ visits to dental offices results in the improvement and enhancement of the indexes of this health field, the present study was undertaken to evaluate the relationship between anxiety sensitivity, sensory processing, brain-behavioral systems and alexithymia and anxiety in dental patients. Materials & Methods: This analytical study was carried out using non-random sampling technique by including 383 male and female subjects referring to dental clinics in Esfahan in 2018. Research tools consisted of anxiety sensitivity questionnaire, questionnaire on highly sensitive subjects, inhibition scale/behavioral activation, alexithymia questionnaire and dental anxiety questionnaire. Data were analyzed with SPSS 22, using correlation test and multiple regression analysis. Results: The results showed that 28. 4% of changes in dental anxiety can be explained with anxiety sensitivity, sensory processing sensitivity and alexithymia. In addition, 26. 1% of changes in dental anxiety can be explained with two dimensions of anxiety sensitivities (fear of body concerns and fear of lack of cognitive control); and 17. 3% of changes in this variable can be explained with different aspects of sensory processing sensitivity (ease of excitement, low sensory threshold and aesthetic sensitivity) (p value < 0. 05). Conclusion: There were significant relationships between the three variables of anxiety sensitivity, sensory processing sensitivity and alexithymia and dental anxiety of all the four predictors of the study; however, there was no significant relationship between brain-behavioral systems and dental anxiety.