Self-report sleep quality combined with sleep time variability distinguishes differences in fatigue, anxiety, and depression in individuals with multiple sclerosis: A secondary analysis

Sexual dysfunction in female patients with multiple sclerosis: relationship with functional status, fatigue, depression, sleep quality, and quality of life

BACKGROUND

Although sexual dysfunction is one of the most common symptoms in patients with multiple sclerosis (MS), there are relatively few studies on this topic.

AIM

The aim of this study was to assess sexual function in female MS patients and investigate its association with functional state, fatigue, depression, sleep, and quality of life.

METHODS

This descriptive cross-sectional study was conducted between May and November 2019 with MS patients attending an MS outpatient clinic at a university hospital. Patients' sexual function was assessed using the Female Sexual Function Index (FSFI). Expanded Disability Status Scale (EDSS), Fatigue Severity Scale (FSS), Beck Depression Inventory (BDI), Pittsburgh Sleep Quality Index (PSQI), and Multiple Sclerosis Quality of Life Scale (MSQoL-54) were used to determine their relationship to sexual function.

OUTCOMES

Sexual function, functional status, depression, sleep quality, and quality of life.

RESULTS

The mean age of the 83 patients included in the study was 41.8 (±8.5) years, and all were married. The mean FSFI score of the patients was 21.1 (±8.9) and 26.55, 72.3% of patients were found to have sexual dysfunction. FSFI scores were found to have a negative correlation with age (r = -0.398, P = .001), duration of diagnosis (r = -0.338, P = .001), and EDSS scores (r = -0.326, P = 0.040). Patients taking symptomatic medication (P = .032) and antidepressants (P = .012) had lower mean FSFI scores. Additionally, the FSFI score showed a significant negative correlation with the FSS (r = -0.368, P = .001), the BDI (r = -0.423, P < .001), the PSQI (r = -0.314, P = .004), and the MSQoL-54 (physical health: r = 0.509, P < .001 and mental health: r = 0.431, P < .001).

CLINICAL IMPLICATIONS

A comprehensive evaluation of sexual dysfunction and the development of tailored treatment plans, taking into account associated factors, will be beneficial for female patients with MS.

STRENGTHS AND LIMITATIONS

Small sample size and assessment of sexual function by a generic scale are the limitations of this study.

CONCLUSION

Considering the multifactorial nature of sexual dysfunction in female MS patients, it is recommended that patients be assessed multidimensionally during outpatient follow-up visits.

Exploratory analyses of sleep intraindividual variability and fatigue in parents of children on the autism spectrum

Fatigue is associated with numerous harmful physical and mental health outcomes. Despite the established relationship between sleep and fatigue, research examining sleep variability within a person (i.e. intraindividual variability; IIV) and fatigue is limited. In addition, the associations between child and parent sleep regarding parent fatigue have not been explicitly explored, which could be relevant for parents of autistic children with increased sleep disturbance likelihood. The current study used two weeks of objective sleep (actigraphy) and subjective fatigue data from 81 parents and their children to explore associations among child sleep IIV, parent sleep IIV, and parent average daily fatigue, including evaluating evidence for mediation. Sleep IIV was estimated using a validated Bayesian model. Linear regression analyses indicated that greater parent total sleep time IIV predicted significantly higher fatigue levels. Child sleep IIV was unrelated to parent sleep IIV and fatigue, unsupportive of hypothesized mediation. Similarly, post hoc analyses examining child sleep averages, parent total sleep time IIV, and average parent fatigue were insignificant. Findings cautiously support the uniqueness of total sleep time IIV within parental sleep's relationship with fatigue, independent of child sleep. Objective sleep IIV should continue to be examined in addition to average levels.Lay abstractFatigue is associated with numerous harmful physical and mental health outcomes. Despite research indicating a relationship between fatigue and sleep, there has been a limited focus on how the variability of a person's sleep may be associated with fatigue. In addition, previous studies have not explicitly explored relationships among child sleep, parent sleep, and parent fatigue. Increasing knowledge about this area of research could be particularly relevant for families with autistic children with an increased likelihood of sleep disturbances. The current study used two weeks of objective sleep (actigraphy) data and subjective ratings of parent fatigue from 81 parents and their autistic children to examine associations among child and parent within-person sleep variability regarding average parent fatigue levels. Evidence was assessed for the role of parent sleep variability in hypothesized connections between child sleep variability and parent fatigue. We found that only greater variability in parents' total sleep time was associated with higher levels of parents' average daily fatigue rating over the two weeks. Child sleep variability was not significantly associated with parent sleep variability or average daily fatigue. In addition, average levels of child sleep were unrelated to parent total sleep time variability and fatigue. Although cautious interpretation is required, findings support the idea that variability in total sleep time may be a unique aspect of parental sleep's association with fatigue, independent of child sleep. In addition, sleep variability could be important to consider when examining sleep in addition to average levels of parameters like total sleep time.

Sleep and cognitive outcomes in multiple sclerosis; a systematic review

BACKGROUND

Multiple sclerosis (MS) is a disabling disease of the central nervous system. People living with MS often have co-existing sleep disorders and cognitive dysfunction. The objective of this study was to scrutinize the relationship between cognitive outcomes and sleep conditions in MS.

METHODS

This study followed the Joanna Briggs Institute's (JBI) and PRISMA guidelines. PubMed, Scopus, Embase, and Web of Science databases were searched and original studies delineating the relationship between sleep status and cognitive findings in MS patients‌ were included. The risk of bias was assessed using the JBI critical appraisal tools.

RESULTS

In the final review, out of 1635 screened records, 35 studies with 5321 participants were included. Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), and polysomnography were the most common assessment tools for evaluation of sleep condition, and cognitive evaluations were conducted using the tests including Paced Auditory Serial Addition Test (PASAT), California Verbal Learning Test (CVLT), Symbol Digit Modalities Test (SDMT) and Brief Visuospatial Memory Test (BVMT). Assessing the quality of studies showed no significant bias in most of the included articles. A link between sleep condition and cognitive abilities was suggested in the literature, especially with objective measurement of sleep condition; however, current evidence did not support a substantial association between self-reported sleep quality and processing speed and working memory in patients with MS.

DISCUSSION

Evidence proposes sleep is an independent factor associated with cognitive outcomes in MS. Given the limitations of the evidence such as the lack of well-designed prospective studies, these findings need to be interpreted with caution.

The relationships between multidimensional sleep health and work productivity in individuals with neurological conditions

Numerous studies have reported the negative impacts of poor sleep on work productivity in the general population. However, despite the known sleep issues that individuals living with neurological conditions experience, no study has explored its impact on their work productivity. Sleep health is a concept that includes multiple domains of sleep, measured with a combination of objective and subjective measures. Therefore, this study aimed to ascertain the associations between sleep health and its domains and work productivity in individuals with neurological conditions. Sleep health domains were determined through actigraphy data collected over 1 week and sleep questionnaires. Work productivity was assessed via the Work Productivity and Activity Impairment Questionnaire. A comparison of sleep health scores between demographic variables was performed using Mann-Whitney U and Kruskal-Wallis tests. Associations between the sleep health domains and work productivity were performed using linear regression models. There were no significant differences in sleep health scores between sex, smoking status, education level, employment status or any work productivity domain. Individuals with non-optimal sleep timing had greater absenteeism (22.99%) than the optimal group. Individuals with non-optimal sleep quality had an increase in presenteeism (30.85%), work productivity loss (26.44%) and activity impairment (25.81%) compared to those in the optimal group. The findings from this study highlight that self-reported sleep quality has the largest impact on work productivity. Improving individuals' sleep quality through triage for potential sleep disorders or improving their sleep hygiene (sleep behaviour and environment) may positively impact work productivity.

Sleep quality and lymphedema in breast cancer survivors: a mixed method analysis

PURPOSE

The purpose of this convergent mixed methods study was to assess the perceptions and characteristics of sleep in breast cancer survivors (BCSs) and elucidate perceptions of sleep among BCS with lymphedema.

METHODS

Participants were BCS with and without lymphedema. Both groups completed the Pittsburgh Sleep Quality Index (PSQI), PROMIS® Sleep Disturbance (8a short form), and wore an actigraph on their wrist to capture sleep/wake cycles for 7 days/nights while logging their sleep using a sleep diary. The coefficient of variation of sleep efficiency was calculated from the sleep diary to assess intraindividual variability. In addition, a subsample of BCS with lymphedema participated in a semi-structured qualitative interview. The qualitative data was analyzed separately, and the themes were applied to provide a more nuanced explanation of the quantitative outcomes.

RESULTS

The BCS with lymphedema (n=23) had a significant difference in PSQI (p=0.002), PROMIS® Sleep Disturbance (p=0.084), and sleep efficiency coefficient of variation (p=0.014) compared to BCS without lymphedema (n=23). There were no statistically significant differences between groups in the actigraphy results. BCS with lymphedema perceived that lymphedema management contributed to their sleep disturbance, further exacerbating their mind/body fatigue.

CONCLUSION

This study provides the foundation for future research to investigate the integration of sleep interventions with lymphedema management for holistic survivorship care for BCS with lymphedema.

IMPLICATIONS FOR CANCER SURVIVORS

An innovative sleep health intervention designed to consider the unique factors contributing to sleep disturbance in BCS with lymphedema will fill a gap in their post-cancer treatment quality of life.

Rest-Activity Rhythm, Pain, and Motor Activity in Multiple Sclerosis

BACKGROUND

Although the relationships among physical disability, mood disorders, and pain are well described in multiple sclerosis (MS), little is known about whether those symptoms are associated with sleep disturbances.

METHODS

Forty-six patients with MS experiencing pain participated. Sleep was indirectly measured by assessing rest-activity rhythm via actigraphy: interdaily stability, intradaily variability, and relative amplitude. Pain was assessed using visual and verbal analog scales, mood by the Beck Depression Inventory and Symptom Checklist-90, and physical disability by the Expanded Disability Status Scale.

RESULTS

Incorporating mood, pain, and physical disability into 1 regression model resulted in a significant association with interdaily stability.

CONCLUSIONS

Compared with intradaily variability and relative amplitude, interdaily stability seems to be the most vulnerable actigraphy variable for mood disturbances, pain, and physical disabilities.

Discrepancies between self-report and objective sleep outcomes are associated with cognitive impairment and fatigue in people with multiple sclerosis and insomnia

OBJECTIVES

The primary aim of this study was to assess the degree to which discrepancies between self-reported and actigraphy-based measures of sleep are associated with specific demographic, disease characteristics, and clinical features in a sample of individuals with multiple sclerosis (MS) reporting clinically significant insomnia symptoms.

METHODS

Participants were 90 community-based participants with MS and insomnia. Measures included the Pittsburgh Sleep Quality Index (PSQI), Beck Depression Inventory-Fast Screen (BDI-FS), Modified Fatigue Impact Scale (MFIS), and MS Neuropsychological Screening Questionnaire (MSNQ), and wrist actigraphy-derived sleep parameters. Discrepancy scores were calculated by subtracting actigraphy-derived values from PSQI-derived values for sleep latency (SL), total sleep time (TST), and sleep efficiency (SE).

RESULTS

Correlations between PSQI and actigraphy-derived values were weak. Significant discrepancies, with moderate-to-large effect sizes, were observed between PSQI and actigraphy for SL, TST, and SE, whereby the PSQI yielded longer SL, shorter TST, and less SE than actigraphy. MSNQ elevations correlated with greater PSQI-actigraphy discrepancies in SL and TST. MFIS elevations correlated with greater discrepancies in TST. Discrepancies were not significantly related to BDI-FS, gender, race, education level, or MS type.

CONCLUSIONS

Results emphasize the importance of assessing fatigue with sleep, and when feasible, inclusion of both self-report and actigraphy measures.

Discrepancies between self-reported and device-measured sleep parameters in adults with multiple sclerosis

STUDY OBJECTIVES

Sleep problems are a common consequence of multiple sclerosis; however, there is limited evidence regarding the agreement between device-measured and self-reported sleep parameters in adults with multiple sclerosis. The present study examined the agreement between self-reported and device-measured parameters of sleep quality in a sample of adults with multiple sclerosis.

METHODS

Participants (n = 49) completed a 7-day sleep diary and wore a wrist-worn ActiGraph GT3×+ (ActiGraph Corp., Pensecola, FL) for seven consecutive nights to quantify self-reported and device-measured sleep parameters, respectively.

RESULTS

There was a significant discrepancy between self-reported and device-measured parameters of total time in bed (mean difference = 19.8 [51.3] min), sleep onset latency (mean difference = 22.2 [19.5] min), and frequency of awakenings during the night (mean difference = 12.8 [6.8]). Intraclass correlation estimates indicated poor agreement between methods on most parameters, except for total time in bed (intraclass correlation = 0.80). Bland-Altman plots suggested that total time in bed and total sleep time had acceptable levels of agreement and linear regression analyses indicated that sleep onset latency (F = 113.91, B = -1.34, P < .001), number of awakenings (F = 543.34, B = 1.85, P < .001), and sleep efficiency (F = 18.39, B = -0.77, P < .001) had significant proportional bias.

CONCLUSIONS

Our results draw attention to the discrepancies between sleep parameter measurements and highlight the importance of including both self-report and device-measured outcomes for a complete and accurate representation of sleep in adults with multiple sclerosis.

CITATION

Cederberg KLJ, Mathison BG, Schuetz ML, Motl RW. Discrepancies between self-reported and device-measured sleep parameters in adults with multiple sclerosis. J Clin Sleep Med. 2022;18(2):415-421.

The Impact of Cognitive Behavioral Therapy for Insomnia on Sleep Log and Actigraphy Outcomes in People with Multiple Sclerosis: A Secondary Analysis

PURPOSE

While studies indicate cognitive behavioral therapy for insomnia (CBT-I) improves self-report sleep outcomes from questionnaires in people with multiple sclerosis (MS), it is unclear if CBT-I improves outcomes from a sleep log or sleep assessed objectively via actigraphy in people with MS. This study aimed to determine if CBT-I improves sleep log and actigraphy outcomes in individuals with MS.

PATIENTS AND METHODS

Twenty-five participants (Mage = 53.04, SD= 10.90) were included in this secondary analysis of data from a pilot randomized control study to assess the feasibility and treatment effect of CBT-I in individuals with MS. Participants were asked to maintain a sleep log and wear an actigraph for a week at baseline and post-intervention. Participants were randomized into one of three groups (CBT-I, active control, or one-time brief education control group). One-way ANOVAs were used to assess for group differences and within group change in sleep latency, sleep efficiency (SE), time in bed, total sleep time (TST), wake after sleep onset, variability of SE, and variability of TST.

RESULTS

CBT-I resulted in an increase in sleep efficiency (SE) and decrease in time in bed (TIB) and variability of SE from the sleep log. The CBT-I group also experienced a decrease in TIB and total sleep time (TST) from actigraphy. The active control group demonstrated an increase in variability of SE from actigraphy.

CONCLUSION

This study indicates that individuals with MS may experience an improvement in sleep log and actigraphy sleep outcomes following CBT-I, but findings need to be replicated in a larger prospective study. The decrease in TST from actigraphy mirrors results from prior studies.

Sleep quality in the chronic stage of concussion is associated with poorer recovery: A systematic review

Background

Recovery from a concussion varies based on a multitude of factors. One such factor is sleep disturbances. In our prior review, it was observed that in the acute phase, sleep disturbances are predictive of poor outcomes following a concussion. The literature gap remains on how sleep in the chronic phase of recovery affects outcomes.

Objective

To examine the association between sleep quality during the chronic stage of concussion and post-concussion outcomes. Literature Survey: Literature searches were performed during 1 July to 1 August 2019 in selected databases along with searching grey literature. Out of the 733 results, 702 references were reviewed after duplicate removal.

Methods

Three reviewers independently reviewed and consented on abstracts meeting eligibility criteria ( n = 35). The full-text articles were assessed independently by two reviewers. Consensus was achieved, leaving four articles. Relevant data from each study was extracted using a standard data-extraction table. Quality appraisal was conducted to assess potential bias and the quality of articles.

Results

One study included children (18–60 months) and three studies included adolescents and/or adults (ranging 12–35 years). The association between sleep and cognition (two studies), physical activity (one study), and emotion symptoms (one study) was examined. Sleep quality was associated with decreased cognition and emotional symptoms, but not with meeting physical activity guidelines six months post-concussion injury.

Conclusions

The heterogeneity in age of participants and outcomes across studies and limited number of included studies made interpretations difficult. Future studies may consider if addressing sleep quality following concussion will improve outcomes.

Sleep Efficiency and Total Sleep Time in Individuals with Type 2 Diabetes with and without Insomnia Symptoms

There is increasing awareness of the high prevalence of insomnia symptoms in individuals with type 2 diabetes (T2D). Past studies have established the importance of measuring sleep parameters using measures of central tendency and variability. Additionally, subjective and objective methods involve different constructs due to the discrepancies between the two approaches. Therefore, this study is aimed at comparing the averages of sleep parameters in individuals with T2D with and without insomnia symptoms and comparing the variability of sleep parameters in these individuals. This study assessed the between-group differences in the averages and variability of sleep efficiency (SE) and total sleep time (TST) of 59 participants with T2D with and without insomnia symptoms. Actigraph measurements and sleep diaries were used to assess sleep parameter averages and variabilities calculated by the coefficient of variation across 7 nights. Mann-Whitney U tests were utilized to compare group differences in the outcomes. Validated instruments were used to assess the symptoms of depression, anxiety, and pain as covariates. Objective SE was found to be statistically lower on average (85.98 ± 4.29) and highly variable (5.88 ± 2.57) for patients with T2D and insomnia symptoms than in those with T2D only (90.23 ± 6.44 and 3.82 ± 2.05, respectively). The subjective average and variability of SE were also worse in patients with T2D and insomnia symptoms, with symptoms of depression, anxiety, and pain potentially playing a role in this difference. TST did not significantly differ between the groups on averages or in variability even after controlling for age and symptoms of depression, anxiety, and pain. Future studies are needed to investigate the underlying mechanisms of worse averages and variability of SE in individuals with T2D and insomnia symptoms. Additionally, prompting the associated risk factors of insomnia symptoms in individuals with T2D might be warranted.

Feasibility and treatment effect of cognitive behavioral therapy for insomnia in individuals with multiple sclerosis: A pilot randomized controlled trial

BACKGROUND

At least 40% of individuals with multiple sclerosis (MS) exercise chronic insomnia, and the prevalence is likely higher due to underdiagnosis. Poor sleep quality has been associated with increased fatigue, anxiety, depression, and risk of relapse in individuals with MS. While cognitive behavioral therapy for insomnia (CBT-I) is the recommended treatment for chronic insomnia, the treatment effect of CBT-I in people with MS is unclear.

OBJECTIVE

This pilot randomized control trial (RCT) assessed the feasibility and treatment effect of CBT-I to improve sleep quality and fatigue in individuals with MS with symptoms of insomnia.

METHODS

Thirty-three individuals with MS (30 females, 3 males; 30 relapsing-remitting; 3 secondary-progressive; 53.0 ± 9.4 years old) with symptoms of insomnia were randomized into one of three arms: 1. 6-week CBT-I program, 2. 6-week active control, or 3. Single session of sleep education. Participants completed surveys to assess sleep quality, fatigue, sleep self-efficacy, depression, and anxiety.

RESULTS

CBT-I in individuals with MS is feasible with high retention and adherence rate. All groups experienced a large magnitude of improvement in insomnia symptoms. The CBT-I and brief education groups experienced a large magnitude of improvement in sleep quality and fatigue. Only the CBT-I group demonstrated a large magnitude of improvement in sleep self-efficacy and depression.

CONCLUSION

This is the first study to prospectively demonstrates that CBT-I is feasible in people with MS and produces promising improvements in insomnia severity, sleep quality, sleep self-efficacy and comorbid symptoms of fatigue, depression, and anxiety. Future studies are needed to determine mechanisms for these improvements and expand the scope of individuals with MS who may benefit from CBT-I. Furthermore, considering the moderate to large improvements experienced by the brief education group and the limited number of CBT-I providers, a stepped-care approach warrants consideration.