Objectives: This study aimed to investigate sleep patterns and chronotypes in Spanish women diagnosed with fibromyalgia syndrome (FMS). Methods: A descriptive, cross-sectional observational study following the Strengthening the Reporting of Observational Studies in Epidemiology guidelines was conducted from March 1, 2024, to June 10, 2024, at the Fibromyalgia and Chronic Fatigue Syndrome Association of Tenerife (San Cristóbal de La Laguna, Spain). Results: A total of 73 women, with a mean age of 56.15±6.47 years, diagnosed with FMS were enrolled. Bedtime habits and wake-up times showed significant variability, reflecting individual differences in sleep chronotype preferences among the participants. The Pittsburgh Sleep Quality Index revealed a mean score of 11.62±0.92, indicating substantial challenges in sleep quality among participants with FMS. Sleep efficiency was low, averaging 14.86%±0.34%, and there was a significant discrepancy in sleep duration between workdays and free days, with an average difference of 2.0±0.5 h. The participants reported compensatory sleep through an average of two naps per day, each lasting 40 min. Conclusions Participants with FMS experienced poor sleep quality, characterized by variability in sleep patterns between workdays and free days, along with significant social jet lag. Low sleep efficiency suggests a prevalent sleep debt, which the participants attempted to mitigate through frequent and extended napping.

Objectives: This study aimed to investigate sleep patterns and chronotypes in Spanish women diagnosed with fibromyalgia syndrome (FMS). Methods: A descriptive, cross-sectional observational study following the Strengthening the Reporting of Observational Studies in Epidemiology guidelines was conducted from March 1, 2024, to June 10, 2024, at the Fibromyalgia and Chronic Fatigue Syndrome Association of Tenerife (San Cristóbal de La Laguna, Spain). Results: A total of 73 women, with a mean age of 56.15±6.47 years, diagnosed with FMS were enrolled. Bedtime habits and wake-up times showed significant variability, reflecting individual differences in sleep chronotype preferences among the participants. The Pittsburgh Sleep Quality Index revealed a mean score of 11.62±0.92, indicating substantial challenges in sleep quality among participants with FMS. Sleep efficiency was low, averaging 14.86%±0.34%, and there was a significant discrepancy in sleep duration between workdays and free days, with an average difference of 2.0±0.5 h. The participants reported compensatory sleep through an average of two naps per day, each lasting 40 min. Conclusions Participants with FMS experienced poor sleep quality, characterized by variability in sleep patterns between workdays and free days, along with significant social jet lag. Low sleep efficiency suggests a prevalent sleep debt, which the participants attempted to mitigate through frequent and extended napping.

Objectives: This study aimed to investigate sleep patterns and chronotypes in Spanish women diagnosed with fibromyalgia syndrome (FMS). Methods: A descriptive, cross-sectional observational study following the Strengthening the Reporting of Observational Studies in Epidemiology guidelines was conducted from March 1, 2024, to June 10, 2024, at the Fibromyalgia and Chronic Fatigue Syndrome Association of Tenerife (San Cristóbal de La Laguna, Spain). Results: A total of 73 women, with a mean age of 56.15±6.47 years, diagnosed with FMS were enrolled. Bedtime habits and wake-up times showed significant variability, reflecting individual differences in sleep chronotype preferences among the participants. The Pittsburgh Sleep Quality Index revealed a mean score of 11.62±0.92, indicating substantial challenges in sleep quality among participants with FMS. Sleep efficiency was low, averaging 14.86%±0.34%, and there was a significant discrepancy in sleep duration between workdays and free days, with an average difference of 2.0±0.5 h. The participants reported compensatory sleep through an average of two naps per day, each lasting 40 min. Conclusions Participants with FMS experienced poor sleep quality, characterized by variability in sleep patterns between workdays and free days, along with significant social jet lag. Low sleep efficiency suggests a prevalent sleep debt, which the participants attempted to mitigate through frequent and extended napping.

BACKGROUND: Severe aortic stenosis (AS), leads to pathological left ventricular remodeling that may worsen with concomitant overweight and obesity (OW/O). METHODS: We aimed to prospectively analyze the impact of OW/O on ventricular remodeling in severe AS, by evaluating the percentage of intraendomyocardial fibrosis (PIEF) and the percentage of infiltrating intraendocardial lipid vacuoles (PIELV) and its relationship to global longitudinal strain (GLS) in patients with OW/O. RESULTS: 44 patients with severe AS were included, 13 non-obese (29%) and 31 OW/O (71%), all of them with left ventricular ejection fraction ≥ 55%. GLS was evaluated with 2D speckle tracking. During valve replacement, an endocardial biopsy was obtained, where PIEF and PIELV were analyzed. Patients with higher PIEF and PIELV had greater body mass index (p < 0.0001) and worse GLS (p < 0.0053). A GLS cut-off point < -14% had a sensitivity of 75%, and a specificity of 92.8% to detect important PIEF (AUC: 0.928, 95% confidence interval: 0.798–1.00). On multivariate analysis, OW/O and PIELV were independently associated to the PIEF, and OW/O and PIEF were independently associated to GLS. A high correlation between the amount of PIELV and PIEF were found. CONCLUSION: Patients with severe AS and OW/O have greater PIEF and PIELV, suggesting more pathological remodeling. GLS is useful to detect subclinical myocardial injury and is potentially useful for endomyocardial fibrosis detection. The presence of higher PIELF may be a trigger factor for the development of intraendomyocardial fibrosis.
Aortic Valve Stenosis* ; Biopsy ; Body Mass Index ; Echocardiography* ; Endomyocardial Fibrosis ; Fibrosis ; Humans ; Multivariate Analysis ; Obesity* ; Overweight* ; Prospective Studies ; Sensitivity and Specificity ; Stroke Volume ; Vacuoles ; Ventricular Remodeling