The SBSM Guide to Actigraphy Monitoring: Clinical and Research Applications

Ancoli‐Israel, Sonia; Martin, Jennifer L.; Blackwell, Terri; Buenaver, Luis F.; Liu, Lianqi; Meltzer, Lisa J.; Sadeh, Avi; Spira, Adam P.; Taylor, Daniel J.

doi:10.1080/15402002.2015.1046356

Cited by 437 publications

(294 citation statements)

References 36 publications

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“…[15; 23; 24] It is widely used in sleep and chronobiology research, particularly for its non-invasive presence in the subject’s own environment. [20] Actigraphy time series were analyzed using dedicated software provided by the manufacturer (Action W, Version 2.7 and Action 4, Version 1.16; Ambulatory Monitoring Inc., USA). These programs provided validated parameters for objectively assessing sleep and circadian function.…”

Section: Methodsmentioning

confidence: 99%

“…[20] The rest-activity rhythm, which can be evaluated with an actigraph, is often a preferred biomarker of the circadian timing system compared to evaluation of serum or salivary cortisol because of its non-invasiveness, relative cost, continuity of monitoring throughout day and night, and practical considerations for patients with high disease burden. Analysis of actigraphy recordings provides relevant and robust parameters, such as the dichotomy index I<O, which represents relative differences in activity between time spent in bed versus out of bed.…”

Section: Introductionmentioning

confidence: 99%

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Relationship between subjective and actigraphy-measured sleep in 237 patients with metastatic colorectal cancer

et al. 2017

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Objective Patients with cancers frequently experience sleep and circadian dysfunction. To date, only a few studies have used both a questionnaire and actigraphy for concomitant evaluation of sleep and circadian function in patients with cancer. We sought to evaluate objective sleep and circadian parameters in metastatic colon cancer (MCC) patients and their associations with symptoms and quality of life (QOL). Methods Patients reported subjective sleep problems on the EORTC QLQ-C30. Sleep and circadian parameters were calculated using a wrist-actigraph that patients wore for 72 hours. Results 237 Patients with MCC (age: 60.4 years; range: 20.7–77.6; Male/Female ratio: 1.66) participated in this cross-sectional study. Subjective sleep problems were reported by 63.4% of patients (S+). No differences in any sleep parameters (sleep efficiency, sleep latency, total sleep time, total time in bed, wake after sleep onset, activity bathyphase) were observed between S+ and S- patients. However, S+ patients displayed a significantly worse circadian function than S-patients (96.4% versus 98.1%; p=.005). Presence of poor subjective sleep and objective circadian dysfunction negatively affected symptoms and QOL domains (p=.038). Conclusions Subjective report of sleep problems was not associated with worse objectively-measured sleep parameters in patients with MCC although it was associated with disrupted circadian rest-activity rhythm and poorer QOL. These findings coincide with prior research in cancer patients in that an inconsistent relationship exists between subjective and objective sleep measurements on some sleep domains. This study supports the value of coupled evaluation of self-reported and objective measures of sleep and circadian function in cancer patients.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Relationship between subjective and actigraphy-measured sleep in 237 patients with metastatic colorectal cancer

et al. 2017

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“…If the difference in time in bed and time of out of bed was >30 min between reported in the sleep log and the actigraph, the sleep graphs generated from the ActiLife software was visually inspected for an activity spikes. Time in bed typically is reflected by a sharp decrease in the activity spikes, and time out bed is typically reflected by an immediate increase of the activity spikes in the software 31 . After visually inspecting the activity spikes and comparing the data between the sleep log and the ActiLife software, two trained research personnel determined whether to manually enter the sleep periods from the sleep log or to maintain the sleep periods based on the software.…”

Section: Methodsmentioning

confidence: 99%

The Relationship Between Apolipoprotein ε4 Carrier Status and Sleep Characteristics in Cognitively Normal Older Adults

Kahya

Vidoni

Burns

et al. 2017

J Geriatr Psychiatry Neurol

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The apolipoprotein (APOE) ε4 allele, a well-described genetic risk factor for late onset Alzheimer’s disease (AD), is associated with sleep disturbances even in cognitively normal older adults although it is not clear if this association is independent of sleep apnea. We sought to extend previous studies by examining if cognitively normal older adults without self-reported sleep apnea who carry the APOE ε4 allele have altered sleep characteristics compared to non-carriers. Data from n=36 [APOE ε4 carriers (n=9), non-carriers (n=27)] cognitively normal older adults [Clinical Dementia Rating Scale=0] without self-reported sleep apnea were used for these analyses. Participants wore an actigraph for 7 days to determine sleep characteristics. The Pittsburgh Sleep Quality Index and Epworth Sleepiness Scale were used to assess sleep quality and daytime sleepiness, respectively. The APOE ε4 carriers had a higher number of awakenings compared to the non-carriers (p=0.02). There was no significant difference on the PSQI global score and the ESS; however, the PSQI subcomponent of daily disturbances was significantly higher in APOE ε4 carriers (p=0.03) indicating increased daytime dysfunction is related to disrupted sleep. This study provides evidence that individuals who are cognitively normal and genetically at risk for AD may have disrupted sleep. These findings are consistent with prior studies and suggest that sleep disruption may be present in the pre-symptomatic stages of AD.

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“…All men provided written informed consent, and the study was approved by the Institutional Review Board at each site. For consistency with prior work (Paudel, Taylor et al, 2011) and because 72 hours of recording is considered the minimum period for assessing sleep-wake patterns with actigraph (Littner, Kushida et al, 2003; Ancoli-Israel, Martin et al, 2015), participants were required to have ≥3, 24-hour periods of technically adequate actigraph data (excluded n=134); therefore, the cross-sectional LCA was conducted with 3001 men (mean age=76.35, SD=5.52). To be included in the longitudinal analysis, participants were required to have complete outcome data from baseline and at least one other time-point; 68 of the men failed to meet this criteria and were excluded from the longitudinal analysis (which included n=2933 men).…”

Section: Methodsmentioning

confidence: 99%

Latent activity rhythm disturbance sub-groups and longitudinal change in depression symptoms among older men

Smagula

Boudreau

Stone

et al. 2015

Chronobiology International

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Activity rhythms disturbances and depression often co-occur among older adults. However, little is known about how activity rhythm disturbances themselves co-occur, or how disturbances to multiple aspects of the activity rhythm relate to depression over time. In the current study, we performed a Latent Class Analysis to derive sub-groups of older men (total n=2933, mean age=76.28, SD=5.48) who shared similar patterns of activity rhythm disturbances (defined as extreme values of modeled activity rhythm parameters). We found eight sub-groups with distinct combinations of activity rhythm disturbances: one had all normative activity rhythm parameters (32.09%), one had only lower activity (10.06%), three had earlier activity (totaling 26.96%), and three had later activity (totaling 30.89%). Groups with similar timing were distinguished depending on whether the relative length of the active period was shorter and/or if the activity rhythm had lesser amplitude/robustness. We next examined whether the derived activity rhythm sub-groups were associated with different rates of change in depression symptom levels over an average of 5.5 (0.52 SD) follow-up years. The sub-group with lower activity only had faster increases in depressive symptoms over time (compared to the group with normative rhythm parameters), but this association was accounted for by adjustments for concurrently assessed health status covariates. Independent of these covariates, we found four activity rhythm disturbance sub-groups that experienced faster depressive symptom increases (compared with the normative sub-group): These included all three sub-groups that had later activity timing, and one sub-group that had earlier activity timing plus a shorter active period and a dampened rhythm. Low activity rhythm height/robustness with normal timing therefore may mark depression risk that is attributable to co-occurring disease processes; in contrast, having late or combined early/compressed/dampened activity rhythms may independently contribute to depression symptom development. Our findings suggest that activity rhythm related depression risk is heterogeneous, and may be detected when multiple aspects of rhythm timing are delayed or when early timing is accompanied by compressed/dampened activity rhythms. Future studies should consider how distinct combinations of altered activity rhythm timing and height/robustness develop and conjointly determine health risks. Future research is also needed to determine whether/how activity rhythms can be modified to improve depression outcomes.

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The SBSM Guide to Actigraphy Monitoring: Clinical and Research Applications

Cited by 437 publications

References 36 publications

Relationship between subjective and actigraphy-measured sleep in 237 patients with metastatic colorectal cancer

Relationship between subjective and actigraphy-measured sleep in 237 patients with metastatic colorectal cancer

The Relationship Between Apolipoprotein ε4 Carrier Status and Sleep Characteristics in Cognitively Normal Older Adults

Latent activity rhythm disturbance sub-groups and longitudinal change in depression symptoms among older men

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