The role of actigraphy in the assessment of primary insomnia: a retrospective study

Natale, Vincenzo; Léger, Damien; Martoni, Monica; Bayon, Virginie; Erbacci, Alex

doi:10.1016/j.sleep.2013.08.792

Cited by 84 publications

(74 citation statements)

References 26 publications

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“…Second, cancer patient data were derived from France, while the healthy participants' data were collected in Italy. Nonetheless, taking into account previous similar comparative study (Natale et al, 2014), we assume such country-related differences to be negligible regarding the current study endpoints.…”

Section: Discussionmentioning

confidence: 99%

The difference between in bed and out of bed activity as a behavioral marker of cancer patients: A comparative actigraphic study

Natale

Innominato

Boreggiani

et al. 2015

Chronobiology International

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The current study was conducted to provide normative data on actigraphic dichotomy index (I < O) (the percentage of in bed activity counts that are less than the median of out of bed counts) in healthy population and to assess whether the I < O could be an effective index in discriminating the circadian motor activity of cancer patients from healthy controls. In this retrospective study, we recovered 408 actigraphic records from two databases: healthy controls (n = 182; 79 males; mean age 38.7 ± 12.6) and patients with metastatic colorectal cancer (n = 226; 149 males; mean age 58.4 ± 11.4). Beside the usual actigraphic sleep parameters (time in bed, sleep onset latency, total sleep time, wake after sleep onset, sleep efficiency, number of awakenings, and mean motor activity), we also computed the dichotomy index and number of actigraphic wake parameters, namely, diurnal motor activity, diurnal total sleep time, number of sleep episodes, and the mean duration of the longest diurnal sleep episode. Using the Youden index, we calculated the cut off value that performed the best for I < O and actigraphic wake parameters. Finally, we created Receiver Operator Characteristic curves to test the efficacy of each actigraphic parameter to discriminate cancer patient from healthy controls. Mean I < O was 99.5% (SD, 0.48%) in the healthy group, as compared to 96.6% (SD, 3.6%) in the cancer group (p < 0.0001). Important age-related effects appeared unlikely after performing both the main analysis with age as a covariate, and a subset analysis in 104 subjects matched for age and sex. In the main analysis, all actigraphic parameters, except total sleep time, significantly differentiated the two groups of participants. However, the I < O was the one that clearly performed best. Here, we provide the first large dataset on I < O in healthy subjects, we confirm the relevance of this circadian index for discriminating advanced stage colorectal cancer patients from healthy subjects, and we lay the grounds for further investigations of this circadian index in patients with other chronic diseases.

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Section: Discussionmentioning

confidence: 99%

The difference between in bed and out of bed activity as a behavioral marker of cancer patients: A comparative actigraphic study

Natale

Innominato

Boreggiani

et al. 2015

Chronobiology International

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“…Previous studies have identified this as a problematic form of sleep behavior, particularly with regards to insomnia. For instance, it is common for individuals with insomnia to stay in bed longer than those without insomnia in the hopes of catching more sleep [1]. Most studies with insomnia patients have only focused on reducing sleep onset latency (SOL) and wake after sleep onset (WASO) [2], but relatively little attention has been given to WP.…”

Section: Introductionmentioning

confidence: 99%

“…Insomnia and depression are highly comorbid, with about 40% of depressed patients reporting insomnia symptoms [3,4]. One common pattern of behavior observed in both of these two conditions is long periods of time spent in bed [1,5,6]. Previous studies have suggested that WP is associated with depression, as depressed people having a tendency to use the bed as an escape is a useful behavior that requires further study in the context of depression.…”

Section: Introductionmentioning

confidence: 99%

Moderating Effect of Gender in the Relationship between Depression and Waketime Procrastination in Insomnia Patients

Kim¹,

Suh²

2019

Sleep Med Res

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Background and ObjectiveaaWaketime procrastination (WP) is a behavior involving delaying getting out of bed in the morning despite being awake. Previous studies have noted a relationship between WP and depression, but there have been a lack of empirical studies investigating this relationship. This study aimed to examine the moderating effect of gender in the relationship between depression and WP in insomnia patients. MethodsaaParticipants consisted of 78 adults (men = 52.6%, women = 47.4%), who met DSM-5 diagnostic criteria for insomnia disorder. All participants completed the Korean version of Center for Epidemiologic Studies Depression Scale-Revised (K-CESD-R) and sleep diaries for a week. WP behavior was calculated based on sleep diary data using the difference in time between wake time and time out of bed. Weekday and weekend sleep diary data were analyzed separately, as many individuals display different sleep behaviors on the weekend compared to the weekdays. ResultsaaResults indicated a significant positive relationship between WP and depression (r = 0.335, p < 0.01). Gender moderated the relationship between depression and WP on both weekdays and weekends [B = -1.239, 95% confidence interval (CI) = -2.092, -0.386 and B = 2.136, 95% CI = 0.643, 3.630, respectively]. Men with high depression showed more WP on weekdays, while women with high depression showed more WP on weekends. ConclusionsaaWP may be an important behavior to consider in the clinical context of providing sleep treatment for individuals who are depressed, especially when considering gender differences. Sleep Med Res 2019;10(2):90-96Key WordsaaWaketime, Procrastination, Depression, Insomnia, Gender. to solve affective problems, and stay in bed longer than less depressed people [5][6][7]. As such, WP

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“…In contrast, the Actiwatch-64 (AW-64; Phillips Respironics, Bend, Oregon, USA) is a validated and widely-used wearable monitor for sleep in both healthy and clinical populations [23, 26, 27], as well as children [8, 28]. This wrist-worn monitor is commonly used in clinical settings [29-31] and is one of the most trusted wearable monitors for sleep assessment.…”

Section: Introductionmentioning

confidence: 99%

Free-living cross-comparison of two wearable monitors for sleep and physical activity in healthy young adults

Cellini

McDevitt

Mednick

et al. 2016

Physiology & Behavior

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There is a growing need for free-living monitoring of the full 24h spectrum of behaviors with a single or integrated set of sensors. The validity of field standard wearable monitors in sleep and physical activity have yet to be assessed for the complementary behavior in the context of 24h continuous monitoring. We conducted a free-living comparison study of the Actigraph GT3X+ (GT3X+) to assess sleep parameters as compared with the Actiwatch-64 (AW-64) and concurrently, the AW-64 to assess sedentary and physical activity behaviors as compared with the GT3X+. Thirty young adults (15 female, 19.2±0.86 years) wore both monitors for 3 consecutive days and 2 consecutive nights. Agreement of sleep, sedentary, and physical activity metrics were evaluated using analyses of variance, intraclass correlation coefficients, Bland-Altman plots with associated confidence limits, mean absolute percentage of errors and equivalence tests. For sleep, the GT3X+ showed high agreement for total sleep time and sleep efficiency, but underestimated wakefulness after sleep onset and sleep onset latency relative to the AW-64. For sedentary behavior and physical activity, the AW-64 showed a moderate agreement for activity energy expenditure, but not for sedentary, light or moderate-vigorous physical activities relative to the GT3X+. Overall our results showed good agreement of the GT3X+ with AW-64 for assessing sleep but a lack of agreement between AW-64 and GT3X+ for physical activity and sedentary behaviors. These results are likely due to the monitor placement (wrist vs hip), as well as the algorithm employed to score the data. Future validation work of existing and emerging technologies that may hold promise for 24h continuous monitoring is needed.

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The role of actigraphy in the assessment of primary insomnia: a retrospective study

Cited by 84 publications

References 26 publications

The difference between in bed and out of bed activity as a behavioral marker of cancer patients: A comparative actigraphic study

The difference between in bed and out of bed activity as a behavioral marker of cancer patients: A comparative actigraphic study

Moderating Effect of Gender in the Relationship between Depression and Waketime Procrastination in Insomnia Patients

Free-living cross-comparison of two wearable monitors for sleep and physical activity in healthy young adults

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