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

Scherder, R. J.; Dorp, Marit J. van; Prins, A.J.; Klaveren, Chris van; Cornelisz, I.; Killestein, Joep; Weinstein, Henry C.

doi:10.7224/1537-2073.2021-030

Cited by 2 publications

(1 citation statement)

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“…Through large-scale efforts to measure RARs in hundreds-thousands of community-dwelling subjects (e.g., NHANES [National Health and Nutritional Examination Survey], SOL (Study of Latinos), MESA (Multi-ethnic Study of Atherosclerosis) [13][14][15] ], we know how these parameters vary by sex, age, BMI and active employment 13,14,[16][17][18][19] . Cross-sectional case-control studies have also identified RAR abnormalities in a range of chronic illnesses [20][21][22][23][24][25][26][27][28][29] . Within neuropsychiatry, depression has received the greatest emphasis, with multiple studies linking the severity of prevalent depression symptoms to reductions in robustness/routines (low F and IS, high IV), amplitude and a delayed acrophase 12,16,[30][31][32][33] .…”

Section: Introductionmentioning

confidence: 99%

Stability and Volatility of Human Rest-Activity Rhythms: Insights from Very Long Actograms (VLAs)

Adhyapak,

Abboud,

Rao

et al. 2024

Preprint

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Importance: Wrist-worn activity monitors provide biomarkers of health by non-obtrusively measuring the timing and amount of rest and physical activity (rest-activity rhythms, RARs). The morphology and robustness of RARs vary by age, gender, and sociodemographic factors, and are perturbed in various chronic illnesses. However, these are cross-sectionally derived associations from recordings lasting 4-10 days, providing little insights into how RARs vary with time. Objective: To describe how RAR parameters can vary or evolve with time (~months). Design, Setting and Participants: 48 very long actograms ('VLAs', >90 days in duration) were identified from subjects enrolled in the STAGES (Stanford Technology, Analytics and Genomics in Sleep) study, a prospective cross-sectional, multi-site assessment of individuals > 13 years of age that required diagnostic polysomnography to address a sleep complaint. A single 3-year long VLA (author GD) is also described. Exposures/Intervention: None planned. Main Outcomes and Measures: For each VLA, we assessed the following parameters in 14-day windows: circadian/ultradian spectrum, pseudo-F statistic ('F'), cosinor amplitude, intradaily variability, interdaily stability, acrophase and estimates of 'sleep' and non-wearing. Results: Included STAGES subjects (n = 48, 30 female) had a median age of 51, BMI of 29.4kg/m2, Epworth Sleepiness Scale score (ESS) of 10/24 and a median recording duration of 120 days. We observed marked within-subject undulations in all six RAR parameters, with many subjects displaying ultradian rhythms of activity that waxed and waned in intensity. When appraised as a cohort, averaged RAR parameters remained remarkably stable over a ~4 month recording period. Deficits in average RAR robustness associated with unemployment or high BMI (>29.4) also remained stable over time. Conclusions and Relevance: Through an exemplary set of months-long wrist actigraphy recordings, this study quantitatively depicts the longitudinal stability and dynamic range of human rest-activity rhythms. We propose that actigraphy may have broad potential as a holistic, transdiagnostic and ecologically valid monitoring biomarker of chronobiological health. Prospective recordings from willing subjects will be necessary to precisely define contexts of use.

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Section: Introductionmentioning

confidence: 99%

Stability and Volatility of Human Rest-Activity Rhythms: Insights from Very Long Actograms (VLAs)

Adhyapak,

Abboud,

Rao

et al. 2024

Preprint

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Exploring Sleep Architecture in Polish Patients with Multiple Sclerosis: A Polysomnography Study

Rzepka,

Chmiela,

Galus

et al. 2024

Brain Sciences

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Background: Sleep disturbances are a prevalent phenomenon in patients with multiple sclerosis (PwMS). The present study employs polysomnography (PSG) to quantify sleep efficiency and architecture in PwMS, aiming to elucidate the relationships between PSG parameters and factors including gender, disability level, brain lesion location, and subjective measures of insomnia, excessive daytime sleepiness (EDS), fatigue, pain, and mood disorders. Methods: The study cohort comprised 51 adult PwMS, of whom 31 underwent overnight PSG. The demographic and clinical characteristics, including age, gender, and Expanded Disability Status Scale (EDSS), were collated. The Athens Insomnia Scale, the Epworth Sleepiness Scale, the Fatigue Severity Scale, the Modified Fatigue Impact Scale (MFIS), the Numerical Pain Rating Scale, and the Hospital Anxiety and Depression Scale were employed for the assessment of insomnia, EDS, fatigue, pain, and mood disorders. The brain and spinal cord magnetic resonance imaging (MRI) were evaluated. Results: A reduced sleep efficiency was observed among 30 PwMS (aged 38.9 ± 12.9), with a mean of 80 ± 12%, especially in those with brainstem demyelinating lesions. In those PwMS aberrant sleep onset latency (SOL) and wake after sleep onset were also noted (p < 0.05). The prevalence of sleep fragmentation, as measured by the total arousal index, was greater in male PwMS than in female (p < 0.05). Higher disability according to the EDSS correlated with longer SOL (ρ = 0.48, p < 0.05), and reduced N2 sleep stage correlated with cognitive fatigue according to MFIS (ρ = −0.46, p < 0.05). Age, disease duration, insomnia, EDS, physical fatigue, and mood disorders did not impact PSG parameters. Conclusions: The study demonstrated the disruption of sleep architecture in PwMS, and highlighted the importance of a comprehensive PSG assessment of sleep disturbances in this population.

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

Cited by 2 publications

References 50 publications

Stability and Volatility of Human Rest-Activity Rhythms: Insights from Very Long Actograms (VLAs)

Stability and Volatility of Human Rest-Activity Rhythms: Insights from Very Long Actograms (VLAs)

Exploring Sleep Architecture in Polish Patients with Multiple Sclerosis: A Polysomnography Study

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