Alexithymia is a personality construct that is frequently identified in fibromyalgia (FM). Previous studies have explored the relationship between alexithymia and emotional distress in this disease. Yet, the additional link with factors of pain appraisal is unknown. This study examined the moderating effect of alexithymia in the relationship between emotional distress and pain appraisal in 97 FM women. A control group of 100 healthy women also participated in the study. All participants completed several self-reports about pain experience, sleep quality, impairment, emotional distress, pain appraisal, and alexithymia. FM women showed significantly more difficulty in identifying and describing feelings, but less externally oriented thinking than healthy women. In the clinical group, difficulty in identifying feelings and difficulty in describing feelings significantly correlated with lower sleep quality, higher anxiety and depression, and increased pain catastrophizing and fear of pain. Difficulty in describing feelings significantly correlated with higher pain experience and vigilance to pain. Externally oriented thinking was not correlated with any of the clinical variables. Difficulty in identifying feelings moderated the relationship between anxiety and pain catastrophizing, and difficulty in describing feelings moderated the relationship between anxiety and fear of pain. Implications of the findings for the optimization of care of FM patients are discussed.

Background: Insomnia has been associated with decreased academic performance and unhealthy behaviors in university students. Although many studies have analyzed sleep phenomenology among this population, only few have focused on insomnia and its related variables. In addition, such studies do not always include a clinical interview or a specific and validated instrument for measuring insomnia. This study aimed to explore the prevalence of insomnia symptoms and the relationship between insomnia and health habits, mental health, and academic performance in a large university student sample. Methods: Five hundred and eighty-two students were recruited from the University of Granada, Spain. Data were collected through an online survey with questions on sociodemographic and academic data and health habits as well as the Pittsburgh Sleep Quality Index, Insomnia Severity Index, Sleep Hygiene Index, and Sleepiness, Depression, Anxiety, and Stress Scales. A multiple regression analysis explored the relationship between academic performance, health habits, mood state, and insomnia symptoms. Results: The prevalence of students with symptoms of insomnia was high (39.7%). A multiple logistic regression analysis revealed that depression, sleep hygiene, stress and anxiety were significant predictors of insomnia symptoms. Multivariate analyses revealed that subjective insomnia symptoms, sleep efficiency, and depression were significantly correlated with academic performance in a dependent way. Conclusions: In university students, anxiety, stress, and poor sleep hygiene are risk factors for insomnia, which plays an important role in academic performance. Promoting sleep and mental health could be a potentially effective way to improve their academic performance.

Fibromyalgia (FM) is a chronic syndrome characterized by heterogeneous clinical manifestations, and knowing this variability can help to develop tailored treatments. To understand better the heterogeneity of FM the present cross-sectional study analyzed the role of several physical symptoms (pain, fatigue and poor sleep quality) and cognitive-affective variables related to pain (pain catastrophizing, pain vigilance, self-efficacy in pain management, and pain acceptance) in the configuration of clinical profiles. A sample of 161 women with FM fulfilled an interview and several self-report measures to explore physical symptoms, cognitive-affective variables, disability and psychopathology. To establish FM groups a hierarchical cluster analysis was performed. The findings revealed three clusters that differed in the grouping variables, Wilks’ λ = .17,F(14, 304) = 31.50,p< .001, η_p²= .59. Group 1 (n= 72) was characterized by high physical and psychological affectation, Group 2 (n= 19) by low physical affectation and high pain self-efficacy, and Group 3 (n= 70) by moderate physical affectation and low pain catastrophizing. The external validation of the clusters was confirmed, Wilks’ λ = .72,F(4, 314) = 14.09,p< .001, η_p²= .15, showing Group 1 the highest levels of FM impact and psychopathological distress. Considering the distinctive clinical characteristics of each subgroup therapeutic strategies addressed to the specific needs of each group were suggested. Assessing FM profiles may be key for a better understanding and approach of this syndrome.