Subjective and objective sleep difficulties in women with fibromyalgia syndrome

Good sleep is a mood buffer for young women during menses

STUDY OBJECTIVES

We sought to elucidate the interaction between sleep and mood considering menstrual cycle phase (menses and non-menses portions of the cycle) in 72 healthy young women (18-33 years) with natural, regular menstrual cycles and without menstrual-associated disorders. This work fills a gap in literature of examining mood in context of sleep and menstrual cycle jointly, rather than individually.

METHODS

Daily subjective measures of sleep and mood, and date of menses were remotely, digitally collected over a 2-month period. Each morning, participants rated their sleep on the previous night, and each evening participants rated the extent of positive and negative mood for that day. Objective sleep was tracked with a wearable (ŌURA ring) during month 2 of the study. Time-lag cross-correlation and mixed linear models were used to analyze the significance and directionality of the sleep-mood relationship, and how the interaction between menstrual cycle status and sleep impacted mood levels.

RESULTS

We found that menstrual status alone did not impact mood. However, subjective sleep quality and menstrual status interacted to impact positive mood (p < .05). After a night of perceived poor sleep quality, participants reported lower positive mood during menses compared to non-menses portions of the cycle, while after a night of perceived good sleep quality participants reported equivalent levels of positive mood across the cycle.

CONCLUSIONS

We suggest that the perception of good sleep quality acts as a mood equalizer, with good sleep providing a protective buffer to positive mood across the menstrual cycle.

Recurrent Hippocampo-neocortical sleep-state divergence in humans

Sleep is assumed to be a unitary, global state in humans and most other animals that is coordinated by executive centers in the brain stem, hypothalamus, and basal forebrain. However, the common observation of unihemispheric sleep in birds and marine mammals, as well as the recently discovered nonpathological regional sleep in rodents, calls into question whether the whole human brain might also typically exhibit different states between brain areas at the same time. We analyzed sleep states independently from simultaneously recorded hippocampal depth electrodes and cortical scalp electrodes in eight human subjects who were implanted with depth electrodes for pharmacologically intractable epilepsy evaluation. We found that the neocortex and hippocampus could be in nonsimultaneous states, on average, one-third of the night and that the hippocampus often led in asynchronous state transitions. Nonsimultaneous bout lengths varied from 30 s to over 30 min. These results call into question the conclusions of studies, across phylogeny, that measure only surface cortical state but seek to assess the functions and drivers of sleep states throughout the brain.

Test-Retest Reliability and Responsiveness of PROMIS Sleep Short Forms Within an RCT in Women With Fibromyalgia

Background: Nonrestorative sleep is commonly reported by individuals with fibromyalgia, but there is limited information on the reliability and responsiveness of self-reported sleep measures in this population.

Objectives: (1) Examine the reliability and validity of the Patient-Reported Outcomes Measurement Information System (PROMIS) sleep measures in women with fibromyalgia, and (2) Determine the responsiveness of the PROMIS sleep measures to a daily transcutaneous electrical nerve stimulation (TENS) intervention in women with fibromyalgia over 4 weeks compared with other measures of restorative sleep.

Methods: In a double-blinded, dual-site clinical trial, 301 women with fibromyalgia were randomly assigned to utilize either Active-TENS, Placebo-TENS, or No-TENS at home. Measures were collected at baseline and after 4 weeks of treatment. To assess self-reported sleep, the participants completed three PROMIS short forms: Sleep Disturbance, Sleep-Related Impairment, Fatigue, and the Pittsburgh Sleep Quality Index (PSQI). To assess device-measured sleep, actigraphy was used to quantify total sleep time, wake after sleep onset, and sleep efficiency. Linear mixed models were used to examine the effects of treatment, time, and treatment*time interactions.

Results: The PROMIS short forms had moderate test–retest reliability (ICC 0.62 to 0.71) and high internal consistency (Cronbach's alpha 0.89 to 0.92). The PROMIS sleep measures [mean change over 4 weeks, 95% confidence interval (CI)], Sleep Disturbance: −1.9 (−3.6 to −0.3), Sleep-Related Impairment: −3 (−4.6 to −1.4), and Fatigue: −2.4 (−3.9 to −0.9) were responsive to improvement in restorative sleep and specific to the Active-TENS group but not in the Placebo-TENS [Sleep Disturbance: −1.3 (−3 to 0.3), Sleep-Related Impairment: −1.2 (−2.8 to 0.4), Fatigue: −1.1 (−2.7 to 0.9)] or No-TENS [Sleep Disturbance: −0.1 (−1.6 to 1.5), Sleep-Related Impairment: −0.2 (−1.7 to 1.4), Fatigue: –.3 (−1.8 to 1.2)] groups. The PSQI was responsive but not specific with improvement detected in both the Active-TENS: −0.9 (−1.7 to −0.1) and Placebo-TENS: −0.9 (−1.7 to 0) groups but not in the No-TENS group: −0.3 (−1.1 to 0.5). Actigraphy was not sensitive to any changes in restorative sleep with Active-TENS [Sleep Efficiency: −1 (−2.8 to 0.9), Total Sleep Time: 3.3 (−19.8 to 26.4)].

Conclusion: The PROMIS sleep measures are reliable, valid, and responsive to improvement in restorative sleep in women with fibromyalgia.

Clinical Trial Registration:www.ClinicalTrials.gov, identifier: NCT01888640.

Associations of self-report and actigraphy sleep measures with experimental pain outcomes in patients with temporomandibular disorder and healthy controls

OBJECTIVE

Discrepancies between self-reported and actigraphy sleep measures are common, producing ambiguity about which are better predictors of experimental pain outcomes. The current study tested if pain intensity during and situational pain catastrophizing following experimental pain were differentially predicted by self-reported or actigraphy sleep measures in patients with chronic temporomandibular disorder (TMJD) or healthy controls (HCs).

METHODS

Forty patients with TMJD and 20 HCs completed self-report sleep measures (Pittsburgh Sleep Quality Index, PSQI; Insomnia Severity Index, ISI; PROMIS Sleep-Related Impairment [SRI] and Sleep Disruption [SD]), underwent an experimental pain induction consisting of four consecutive cold-water hand immersions, and provided pain intensity and situational pain catastrophizing ratings. Participants also wore an actigraphy watch and completed sleep diaries for seven days, which were averaged for actigraphic indices of total sleep time, sleep efficiency, wake after sleep onset, and self-reported sleep quality and restfulness.

RESULTS

Individuals with TMJD reported higher pain intensity during experimental pain (M = 65.81 vs. 47.77, p = .007) and self-reported worse sleep compared to HCs (all p's < 0.02, Cohen's D = 0.73-1.25). No group differences emerged for actigraphy measures (all p's > 0.05, Cohen's D = 0.05-0.53). Sleep variables did not interact with group to predict responses to experimental pain (all p's > 0.05). Across groups, PROMIS-SRI predicted pain intensity (β = 0.36, p = .008) and catastrophizing (β = 0.36, p = .009) after controlling for multiple comparisons, smoking, medications, and age.

CONCLUSION

Self-reported sleep (but not actigraphy) measures differentiate patients with TMJD from HCs. Sleep-related interference may place people at particular risk for higher pain intensity and catastrophizing following experimental pain.

Group Psychotherapy With Fibromyalgia Patients: A Systematic Review

Objectives

This review aims to investigate the factors that play a role on the efficacy of group psychotherapy (GP) interventions for fibromyalgia syndrome (FMS).

Materials and methods

We employed a search using keywords group psychotherapy and fibromyalgia in the databases of Scopus, Web of Sciences, CINAHL, BMJ, MEDLINE, ScienceDirect and EBSCOhost.

Results

A total of 30 original studies were identified. These studies, which aimed to improve primary outcomes (POs-pain and fibromyalgia impact) and/or secondary outcomes (SOs-psychosocial), indicated that 15 were conducted in a multidisciplinary (MT) fashion, and the rest were unidimensional as they employed only GPs. Cognitive behavior therapy, which modifies dysfunctional thoughts and accompanying behaviors, was the most utilized psychological intervention. Overall, MTs were only slightly superior to GPs; however, improvements in POs were more frequent than SOs in MTs, and the vice versa in GPs.

Conclusion

Although studies varied in various methodological characteristics, the content of the interventions in MTs should be designed to cover the biopsychosocial nature of FMS.

The Association of Body Mass Index and Body Composition with Pain, Disease Activity, Fatigue, Sleep and Anxiety in Women with Fibromyalgia

The link between fibromyalgia syndrome (FMS) and obesity has not been thoroughly investigated. The purpose of this study was to examine the relationships among body mass index (BMI) and body composition parameters, including fat mass, fat mass percentage, and visceral fat, as well as FMS features, such as tender point count (TPC), pain, disease activity, fatigue, sleep quality, and anxiety, in a population of FMS women and healthy controls. A total of seventy-three women with FMS and seventy-three healthy controls, matched on weight, were included in this cross-sectional study. We used a body composition analyzer to measure fat mass, fat mass percentage, and visceral fat. Tender point count (TPC) was measured by algometry pressure. The disease severity was measured with the Fibromyalgia Impact Questionnaire (FIQ-R) and self-reported global pain was evaluated with the visual analog scale (VAS). To measure the quality of sleep, fatigue, and anxiety we used the Pittsburgh Sleep Quality Questionnaire (PSQI), the Spanish version of the multidimensional fatigue inventory (MFI), and the Beck Anxiety Inventory (BAI), respectively. Of the women in this study, 38.4% and 31.5% were overweight and obese, respectively. Significant differences in FIQ-R.1 (16.82 ± 6.86 vs. 20.66 ± 4.71, p = 0.030), FIQ-R.3 (35.20 ± 89.02 vs. 40.33 ± 5.60, p = 0.033), and FIQ-R total score (63.87 ± 19.12 vs. 75.94 ± 12.25, p = 0.017) among normal-weight and overweight FMS were observed. Linear analysis regression revealed significant associations between FIQ-R.2 (β(95% CI)= 0.336, (0.027, 0.645), p = 0.034), FIQ-R.3 (β(95% CI)= 0.235, (0.017, 0.453), p = 0.035), and FIQ-R total score (β(95% CI)= 0.110, (0.010, 0.209), p = 0.032) and BMI in FMS women after adjusting for age and menopause status. Associations between sleep latency and fat mass percentage in FMS women (β(95% CI)= 1.910, (0.078, 3.742), p = 0.041) and sleep quality and visceral fat in healthy women (β(95% CI)= 2.614, (2.192, 3.036), p = 0.008) adjusted for covariates were also reported. The higher BMI values are associated with poor FIQ-R scores and overweight and obese women with FMS have higher symptom severity. The promotion of an optimal BMI might contribute to ameliorate some of the FMS symptoms.

Learning Using Concave and Convex Kernels: Applications in Predicting Quality of Sleep and Level of Fatigue in Fibromyalgia

Fibromyalgia is a medical condition characterized by widespread muscle pain and tenderness and is often accompanied by fatigue and alteration in sleep, mood, and memory. Poor sleep quality and fatigue, as prominent characteristics of fibromyalgia, have a direct impact on patient behavior and quality of life. As such, the detection of extreme cases of sleep quality and fatigue level is a prerequisite for any intervention that can improve sleep quality and reduce fatigue level for people with fibromyalgia and enhance their daytime functionality. In this study, we propose a new supervised machine learning method called Learning Using Concave and Convex Kernels (LUCCK). This method employs similarity functions whose convexity or concavity can be configured so as to determine a model for each feature separately, and then uses this information to reweight the importance of each feature proportionally during classification. The data used for this study was collected from patients with fibromyalgia and consisted of blood volume pulse (BVP), 3-axis accelerometer, temperature, and electrodermal activity (EDA), recorded by an Empatica E4 wristband over the courses of several days, as well as a self-reported survey. Experiments on this dataset demonstrate that the proposed machine learning method outperforms conventional machine learning approaches in detecting extreme cases of poor sleep and fatigue in people with fibromyalgia.

Objective measures of sleep in fibromyalgia syndrome: Relationship to clinical, psychiatric, and immunological variables

We aimed to investigate the changes in the objective and subjective sleep variables during painful episodes of fibromyalgia and post-episode period, and to evaluate the impact of the sleep variables on the current clinical, psychological, and immunologic parameters. Thirty-one consecutive patients who were referred to the Erenköy Physical Therapy and Rehabilitation Polyclinic with a diagnosis of fibromyalgia were evaluated before and in the sixth week of the acute pain treatment. The sleep variables were measured by polysomnography, Pittsburgh Sleep Quality Index, and Epworth Sleepiness Scale. The clinical and psychiatric assessment of patients was performed by using Fibromyalgia Impact Questionnaire; Patient Health Questionnaire-Somatic, Anxiety, and Depressive Symptoms; and Visual Analog Scale. Serum pro-inflammatory molecules were measured to evaluate the immunological status. The pain treatment significantly affected subjective sleep variables, psychiatric variables, clinical variables, and IL-6 levels. The subjective sleep parameters, clinical and psychiatric variables, and IL-6 levels were improved with pain treatment in fibromyalgia. The objective sleep variables, IL-1 and TNF-alpha levels were not significantly improved with the pain treatment, and they were not related to clinical presentation of patients with fibromyalgia. Subjective variability of sleep contributes to the clinical presentation, suggesting that the objective structure is trait-specific with IL-1 and TNF-alpha.

New guidelines for the diagnosis of fibromyalgia

OBJECTIVE

To establish guidelines based on scientific evidence for the diagnosis of fibromyalgia.

MATERIAL AND METHODS

Evidence collection was performed based on 9 questions regarding the diagnosis of fibromyalgia, structured using the Patient, Intervention or Indicator, Comparison and Outcome (P.I.C.O.), with searches in the main, primary databases of scientific information. After defining the potential studies to support the recommendations, they were graded according to evidence and degree of recommendation.

Evaluation of sleep disorder and its effect on sexual dysfunction in patients with Fibromyalgia syndrome

Objective:

Sexual problems are commonly seen in women with fibromyalgia syndrome (FMS). The objective of this study was to reveal the relationship between the severity of symptoms, sleep disorder, and sexual dysfunction in women with FMS.

Materials and Methods:

A total of 140 sexually active women with FMS aged 17-67 years who presented to our physical medicine and rehabilitation outpatient clinic between January 2016 and June 2016 were enrolled in the study. The patients’ age, height, body weight, body mass index (BMI), and general pain score [visual analogue scale, (VAS)] for the last 1 week were recorded. The patients were given three different sets of questionnaires: the Pittsburgh Sleep Quality Index (PSQI), Fibromyalgia Impact Questionnaire (FIQ), and Female Sexual Function Index (FSFI).

Results:

The mean age of the patients was 40.3±8.5 years; the mean BMI was 27.1±4.4 kg/m², VAS (last 1 week) was 6.9±2 cm, the mean PSQI was 24.8±10.8 (one patient with PSQI ≤5), FIQ was 65.9±19.2, and FSFI was 19.0±6.9. No significant relationship was observed between the mean PSQI and BMI values (p=0.401), whereas a significant relationship was found between the mean values of VAS, FIQ, and FSFI (p=0.03; p=0.034; p<0.001, respectively). In Pearson’s correlation analysis, a positive correlation was noted between PSQI and VAS (r=0.324; p<0.001) and FIQ values (r=0.271; p=0.001). A significant relationship was found between the FIQ and VAS values (p<0.001). P less than 0.005 was considered statistically significant.

Conclusion:

Sleep disorder is regarded as the underlying cause for many signs and symptoms in FMS. Sexual dysfunction may develop in women with FMS, based on the severity of the disease and poor sleep quality. We found that sleep dysfunction was significantly related with the severity of disease, pain, and sexual disfunction. We also found a positive correlation between VAS and PSQI.

Tiredness and fatigue during processes of illness and recovery: A qualitative study of women recovered from fibromyalgia syndrome

Fibromyalgia syndrome (FMS), a chronic musculoskeletal pain condition, is often accompanied by fatigue. In this study, inspired by narrative approaches to health and illness, we explore how women who have regained their health after FMS describe tiredness along a storyline from before they fell ill, through their illness, recovery process, and present-day health. The data derive from qualitative interviews with eight Norwegian women who previously suffered from FMS but who no longer had the condition at the time of interview. We undertook a narrative analysis to understand the complexity of the stories about tiredness and fatigue and on this basis identified a storyline based on four sub-narratives: 1) Alarming but ignored tiredness (before illness); 2) paralyzing fatigue (during illness); 3) making sense of fatigue (recovery process); and 4) integrating tiredness into life (today). The findings highlight participants' different understandings and meanings of tiredness and fatigue and the ways in which these link past, present, and future. Significantly, a clear distinction between tiredness and fatigue was not always found. Overall, the storyline that emerges from the narratives is about balancing tiredness/fatigue with everyday life, and how this unfolds in different ways across the span of FMS, from falling ill to recovering and regaining health.

Is the deficit in pain inhibition in fibromyalgia influenced by sleep impairments?

It has been proposed that a deficit in inhibitory conditioned pain modulation (ICPM) underlies the pathophysiology of fibromyalgia (FM), but there is high variability in ICPM efficacy in this syndrome that remains poorly understood. Based on emerging data showing that age, anxiety, depression and sleep can modulate ICPM efficacy, the main objective of this study was to determine the clinical correlates of experimentally-induced pain perception in FM. Fifty FM patients and 39 healthy controls (HC) were tested. Anxiety, depression, sleep and FM symptoms were measured with questionnaires or interview-type scales. Experimental pain testing consisted of two tonic heat pain stimulations separated by a 2-minute cold pressor test (CPT). Thermal pain thresholds and tolerance were higher in HC compared to FM patients. Pain ratings during the CPT were lower in HC relative to FM patients. ICPM efficacy was stronger in HC compared to FM patients. Finally, sleep quality was the only factor significantly related to ICPM efficacy. To our knowledge, this is the first study to report this association in FM. Future studies will need to replicate this finding, to determine whether impaired sleep is primary or secondary to deficient pain inhibition, and to characterize the neurobiological mechanisms underlying this association.