Automated classification of sleep and wake from single day triaxial accelerometer data.

Actigraphy allows for the remote monitoring of subjects' activity for clinical and research purposes. However, most standard methods are built for proprietary measures from specific devices that are not widely used. In this study, we develop an algorithm for classifying sleep and awake using a single day of triaxial accelerometer data, which can be acquired from all smart devices. This algorithm consists of two stages, clustering and hidden Markov modeling, and outperforms standard algorithms in sensitivity (94%), specificity (93 %), and overall accuracy (93%) across seven subjects. This method can help automate actigraphy analyses at scale using widely available technology using even a single day's worth of data. Clinical Relevance- Automated monitoring of patients' activity at home can help track recovery trajectories after surgery and injury, disease progression, treatment response.

Assessing Walking Programs in Fibromyalgia: A Concordance Study between Measures.

This study analyzes the degree of agreement between three self-report measures (Walking Behavior, WALK questionnaire and logbooks) assessing adherence to walking programs through reporting their components (minutes, rests, times a week, consecutive weeks) and their concordance with a standard self-report of physical activity (IPAQ-S questionnaire) and an objective, namely number of steps (pedometer), in 275 women with fibromyalgia. Regularized partial correlation networks were selected as the analytic framework. Three network models based on two different times of assessment, namely T1 and T2, including 6 weeks between both, were used. WALK and the logbook were connected with Walking Behavior and also with the IPAQ-S. The logbook was associated with the pedometers (Z-score > 1 in absolute value). When the behavior was assessed specifically and in a detailed manner, participants' results for the different self-report measures were in agreement. Specific self-report methods provide detailed information that is consistent with validated self-report measures (IPAQ-S) and objective measures (pedometers). The self-report measures that assess the behavioral components of physical activity are useful when studying the implementation of walking as physical exercise.

Rest activity rhythms characteristics of breast cancer women following endocrine therapy.

Rest-activity rhythm (RAR) disruptions are frequently associated with chemotherapy in breast cancer (BC), but they are less known in BC with endocrine therapy (ET). The aim of this ancillary study was to characterize the RAR and estimated sleep characteristics from actigraphy in BC patients either treated (ET+) or untreated with ET (ET-), compared to healthy controls (HC) and using a cross-sectional design. Eighteen ET+, 18 ET-, and 16 HC completed questionnaires and wore wrist actigraphs at home for 2 weeks. Parametric and nonparametric RAR, sleep parameters, and quality of life were compared between groups (p < .05). BC groups presented lower daytime activity than HC according to RAR analysis (mesor and M10 parameters). Compared to HC, ET- had lower inter-daily stability and ET+ had greater sleep complaints. Compared to ET-, ET+ had lower sleep efficiency, more time awake, and higher activity levels at night, as assessed with actigraphy. Our results suggest an effect of cancer independent of treatment on RAR in BC, highlighting the need for further investigation of this topic. In contrast, sleep as assessed with actigraphy seems modified only during ET which matches with patients' sleep complaints. Further longitudinal studies would aid in confirming the latter hypothesis.

Deep-Learning Approach to Predict Survival Outcomes Using Wearable Actigraphy Device Among End-Stage Cancer Patients.

Survival prediction is highly valued in end-of-life care clinical practice, and patient performance status evaluation stands as a predominant component in survival prognostication. While current performance status evaluation tools are limited to their subjective nature, the advent of wearable technology enables continual recordings of patients' activity and has the potential to measure performance status objectively. We hypothesize that wristband actigraphy monitoring devices can predict in-hospital death of end-stage cancer patients during the time of their hospital admissions. The objective of this study was to train and validate a long short-term memory (LSTM) deep-learning prediction model based on activity data of wearable actigraphy devices. The study recruited 60 end-stage cancer patients in a hospice care unit, with 28 deaths and 32 discharged in stable condition at the end of their hospital stay. The standard Karnofsky Performance Status score had an overall prognostic accuracy of 0.83. The LSTM prediction model based on patients' continual actigraphy monitoring had an overall prognostic accuracy of 0.83. Furthermore, the model performance improved with longer input data length up to 48 h. In conclusion, our research suggests the potential feasibility of wristband actigraphy to predict end-of-life admission outcomes in palliative care for end-stage cancer patients. Clinical Trial Registration: The study protocol was registered on ClinicalTrials.gov (ID: NCT04883879).

Relationship of subjective and objective sleep measures with physical performance in advanced-stage lung cancer patients.

Advanced lung cancer patients suffer from deteriorated physical function, which negatively impacts physical and psychological health. As little is known about sleep and physical function in this population, this study aimed to examine the association between subjective and objective sleep parameters and physical function among them. 164 advanced lung cancer patients were included. Objective sleep was measured by actigraphy (measured on non-dominant wrist for 72 h), and subjective sleep quality was assessed by the Pittsburgh Sleep Quality Index (PSQI). Performance-based physical function was measured by Timed Up and Go Test (TUGT), 6-Minute Walk Test (6MWT), Sit-to-Stand Test, and One-leg Standing Test. Univariable and multivariable regression analyses were employed to examine the association between sleep and physical function. Total sleep time (TST) was significantly associated with the 6MWT (ß = 0.259; 95% CI 0.120, 0.398; P < 0.001), TUGT (ß = - 0.012; 95% CI = - 0.017, - 0.008; P < 0.001) and Sit-to-Stand Test (ß = 0.027; 95% CI = 0.018, 0.035; P < 0.001) after adjustment for multiple covariates. PSQI global score was only significantly associated with TUGT (ß = 0.140; 95% CI = 0.000, 0.280; P = 0.050) after adjustment for multiple covariates. Shorter sleep duration significantly predicted poorer physical performance in advanced lung cancer patients, and more attention is required for those with less than 4.3 h of sleep on average.Trial registration: ClinicalTrials.gov, NCT03482323. Registered 29 March 2018, https://clinicaltrials.gov/ct2/show/NCT03482323 ; ClinicalTrials.gov, NCT04119778. Registered 8 October 2019, https://clinicaltrials.gov/ct2/show/NCT04119778 .

Effectiveness of the mHealth intervention 'MyDayPlan' to increase physical activity: an aggregated single case approach.

BACKGROUND: e- and mHealth interventions using self-regulation techniques like action and coping planning have the potential to tackle the worldwide problem of physical inactivity. However, they often use one-week self-regulation cycles, providing support toward an active lifestyle on a weekly basis. This may be too long to anticipate on certain contextual factors that may fluctuate from day to day and may influence physical activity. Consequently, the formulated action and coping plans often lack specificity and instrumentality, which may decrease effectiveness of the intervention. The aim of this study was to evaluate effectiveness of a self-regulation, app-based intervention called 'MyDayPlan'. "MyDayPlan' provides an innovative daily cycle in which users are guided towards more physical activity via self-regulation techniques such as goal setting, action planning, coping planning and self-monitoring of behaviour. METHODS: An ABAB single-case design was conducted in 35 inactive adults between 18 and 58 years (M = 40 years). The A phases (A1 and A2) were the control phases in which the 'MyDayPlan' intervention was not provided. The B phases (B1 and B2) were the intervention phases in which 'MyDayPlan' was used on a daily basis. The length of the four phases varied within and between the participants. Each phase lasted a minimum of 5 days and the total study lasted 32 days for each participant. Participants wore a Fitbit activity tracker during waking hours to assess number of daily steps as an outcome. Single cases were aggregated and data were analysed using multilevel models to test intervention effects and possible carry-over effects. RESULTS: Results showed an average intervention effect with a significant increase in number of daily steps from the control to intervention phases for each AB combination. From A1 to B1, an increase of 1424 steps (95% CI [775.42, 2072.32], t (1082) = 4.31,p < .001), and from A2 to B2, an increase of 1181 steps (95% CI [392.98, 1968.16], t (1082) = 2.94, p = .003) were found. Furthermore, the number of daily steps decreased significantly (1134 steps) when going from the first intervention phase (B1) to the second control phase (A2) (95% CI [- 1755.60, - 512.38], t (1082) = - 3.58, p < .001). We found no evidence for a difference in trend between the two control (95% CI [- 114.59, 197.99], t (1078) = .52, p = .60) and intervention phases (95% CI [- 128.79,284.22], t (1078) = .74, p = .46). This reveals, in contrast to what was hypothesized, no evidence for a carry-over effect after removing the 'MyDayPlan' app after the first intervention phase (B1). CONCLUSION: This study adds evidence that the self-regulation mHealth intervention, 'MyDayPlan' has the capacity to positively influence physical activity levels in an inactive adult population. Furthermore, this study provides evidence for the potential of interventions adopting a daily self-regulation cycle in general.

Comparison of subjectively and objectively assessed sleep problems in breast cancer patients starting neoadjuvant chemotherapy.

PURPOSE: To characterize sleep problems and to compare subjective and objective assessments in breast cancer patients starting neoadjuvant chemotherapy. METHODS: Sleep characteristics of 54 breast cancer patients starting neoadjuvant chemotherapy were analyzed. Subjective sleep characteristics were assessed with the Pittsburgh Sleep Quality Index (PSQI) and objective sleep measurements with an accelerometer (ActiGraph wGT3X-BT) worn on the wrist for 7 consecutive days. RESULTS: According to the common PSQI cut-off of 8, 10 (18.87%) of the patients were poor sleepers. ActiGraph measures did not mirror this classification as values for poor, and good sleepers did not differ significantly. Overall, Bland-Altman plots illustrated higher ActiGraph values for sleep efficiency and effective sleep time and lower values for sleep latency, compared with PSQI. For total sleep time, less disagreement between both measures was observed. Actigraphy was limited in precise identification of sleep begin and sleep latency but provided supplementary information about number and minutes of awakenings during the night. CONCLUSION: Subjective and objective measurement methods differed substantially in various parameters, with limitations in both methods. A combination of both methods might be most promising. TRIAL REGISTRATION: Clinicaltrials.gov : NCT02999074.

Associations between objective afternoon and evening physical activity and objective sleep in patients with fibromyalgia and insomnia.

Patients with fibromyalgia (FM) suffer from chronic pain, which limits physical activity and is associated with disturbed sleep. However, the relationship between physical activity, pain and sleep is unclear in these patients. This study examined whether actigraphic (Actiwatch-2, Philips Respironics) afternoon and evening activity and pain are associated with actigraphic sleep. Adults with FM and insomnia complaints (n = 160, mean age [Mage ] = 52, SD = 12, 94% female) completed 14 days of actigraphy. Activity levels (i.e., activity counts per minute) were recorded, and average afternoon/evening activity for intervals 12:00-3:00 PM, 3:00-6:00 PM and 6:00-9:00 PM was computed. Multiple linear regressions examined whether afternoon/evening activity, pain (daily evening diaries from 0 [no pain sensation] to 100 [most intense pain imaginable]), or their interaction, predicted sleep onset latency (SOL), wake time after sleep onset (WASO), total sleep time (TST) and sleep efficiency (SE). Greater afternoon activity was independently associated with lower SE (B = -0.08, p < .001), lower TST (ß = -0.36, standard error [SE] = 0.06, p < .001) and longer WASO (B = 0.34, p < .001). Greater early evening activity was independently associated with lower SE (B = -0.06, p < .001), lower TST (ß = -0.26, SE = 0.06, p < .001) and longer WASO (B = 0.23, p < .001). Self-reported pain intensity interacted with afternoon and early evening physical activity, such that associations between higher activity and lower SE were stronger for individuals reporting higher pain. Late evening activity was not associated with sleep outcomes. Results suggest that in FM, increased afternoon and early evening physical activity is associated with sleep disturbance, and this relationship is stronger in individuals with higher pain.

Patient characteristics associated with sleep disturbance in breast cancer survivors.

BACKGROUND: Disturbed sleep is common among breast cancer survivors. Identifying patients at risk for disturbed sleep and its sequelae will aid in improving screening and intervention strategies to improve sleep and cancer-related quality of life (QOL). METHODS: Women with stages I-III breast cancer undergoing neoadjuvant or adjuvant chemotherapy (N = 415) reported subjectively assessed sleep quality (PSQI) and actigraphy-assessed wake after sleep onset (AAS-WASO), total sleep time (AAS-TST), and sleep efficiency (AAS-SE), sociodemographic, and clinical characteristics and completed questionnaires assessing physical and mental health QOL at study entry and 3, 6, 12, and 15 months later. RESULTS: Being from a racially/ethnically underserved population was associated with poorer sleep in all indices (p's < .04). Lower income was associated with poorer subjective sleep and greater AAS-WASO (p's < .02). BMI was associated with lower AAS-SE (p < .001). Baseline subjective sleep complaints were positively associated with depression, fatigue, and health-related QOL and cancer-related symptoms across follow-up (p's < 0.05). Baseline AAS-WASO was positively associated with anxiety and negatively associated with physical health-related QOL at the 3-month follow-up (p's < .001). Baseline AAS-WASO and AAS-SE were associated with mental health-related QOL at the 6-month follow-up (p's < .05). CONCLUSIONS: In keeping with previous health disparity research, racially/ethnically underserved populations, lower household income, and higher BMI were associated with increased risk for disturbed sleep. Sleep disturbance may have long-term effects on multiple aspects of QOL for women undergoing treatment for breast cancer. Results may inform strategies to identify patients at greatest risk for disturbed sleep and its sequelae.

Towards personalized assessment of fatigue perpetuating factors in patients with chronic fatigue syndrome using ecological momentary assessment: A pilot study.

OBJECTIVE: This study aimed to explore the associations between cognitions, behaviours and affects and fatigue in chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME), and their relation to reduction of fatigue after cognitive behaviour therapy (CBT). METHODS: In CFS/ME patients, 22 behaviours, cognitions and affects, potentially perpetuating fatigue were registered 5 times a day using ecological momentary assessment (EMA) and an actigraphy. Simultaneous Components Analysis (SCA) was used to identify components of perpetuation, that were tested for their associations with fatigue in multilevel vector autoregressive (VAR) modelling. Fatigue severity was measured pre- and posttreatment with the Checklist Individual Strength. The relationship between perpetuation (the strength and direction of the possible associations between fatigue and the components) and therapy outcome was investigated. RESULTS: 58 patients met inclusion criteria (m age = 36.5; 65.5% female) and data of 50 patients were analysed in the multilevel analysis. Two perpetuating components were found: "psychological discomfort" and "activity". For the total group, both perpetuating components did not predict fatigue on a following time-point. For individual patients the strength and direction of the associations varied. None of the associations between perpetuating components and fatigue significantly predicted treatment outcome. CONCLUSION: Results suggest that there is heterogeneity in perpetuation of fatigue in CFS/ME. Investigating fatigue and perpetuators on an individual rather than group level could lead to new insights.

Screening for Depression in Daily Life: Development and External Validation of a Prediction Model Based on Actigraphy and Experience Sampling Method.

BACKGROUND: In many countries, depressed individuals often first visit primary care settings for consultation, but a considerable number of clinically depressed patients remain unidentified. Introducing additional screening tools may facilitate the diagnostic process. OBJECTIVE: This study aimed to examine whether experience sampling method (ESM)-based measures of depressive affect and behaviors can discriminate depressed from nondepressed individuals. In addition, the added value of actigraphy-based measures was examined. METHODS: We used data from 2 samples to develop and validate prediction models. The development data set included 14 days of ESM and continuous actigraphy of currently depressed (n=43) and nondepressed individuals (n=82). The validation data set included 30 days of ESM and continuous actigraphy of currently depressed (n=27) and nondepressed individuals (n=27). Backward stepwise logistic regression analysis was applied to build the prediction models. Performance of the models was assessed with goodness-of-fit indices, calibration curves, and discriminative ability (area under the receiver operating characteristic curve [AUC]). RESULTS: In the development data set, the discriminative ability was good for the actigraphy model (AUC=0.790) and excellent for both the ESM (AUC=0.991) and the combined-domains model (AUC=0.993). In the validation data set, the discriminative ability was reasonable for the actigraphy model (AUC=0.648) and excellent for both the ESM (AUC=0.891) and the combined-domains model (AUC=0.892). CONCLUSIONS: ESM is a good diagnostic predictor and is easy to calculate, and it therefore holds promise for implementation in clinical practice. Actigraphy shows no added value to ESM as a diagnostic predictor but might still be useful when ESM use is restricted.

Progress on Range of Motion After Total Knee Replacement by Sensor-Based System.

For total knee replacement (TKR) patients, rehabilitation after the surgery is key toregaining mobility. This study proposes a sensor-based system for effectively monitoringrehabilitation progress after TKR. The system comprises a hardware module consisting of thetriaxial accelerometer and gyroscope, a microcontroller, and a Bluetooth module, and a softwareapp for monitoring the motion of the knee joint. Three indices, namely the number of swings, themaximum knee flexion angle, and the duration of practice each time, were used as metrics tomeasure the knee rehabilitation progress. The proposed sensor device has advantages such asusability without spatiotemporal constraints and accuracy in monitoring the rehabilitation progress.The performance of the proposed system was compared with the measured range of motion of theCybex isokinetic dynamometer (or Cybex) professional rehabilitation equipment, and the resultsrevealed that the average absolute errors of the measured angles were between 1.65° and 3.27° forthe TKR subjects, depending on the swing speed. Experimental results verified that the proposedsystem is effective and comparable with the professional equipment.

Actigraphy versus Polysomnography to Measure Sleep in Youth Treated for Craniopharyngioma.

OBJECTIVE/BACKGROUND: Youth with craniopharyngioma are at increased risk for excessive daytime sleepiness and narcolepsy. Polysomnography (PSG) is the gold standard for diagnosing sleep disorders, but is time-intensive, costly, and does not offer an in vivo measure of typical sleep routine. We determined the sensitivity, specificity, and accuracy of actigraphy compared with PSG in measuring nocturnal sleep in pediatric craniopharyngioma. PARTICIPANTS: Fifty youth with craniopharyngioma (age 3-20 years) were assessed by overnight PSG and concurrent actigraphy after surgical resection and before proton therapy. METHODS: PSG and actigraphy data were synchronized utilizing an epoch-by-epoch comparison method. Sensitivity, specificity, and accuracy were calculated using measures of true wake, true sleep, false wake, and false sleep. Bland-Altman plots were conducted to further assess level of agreement. RESULTS: Actigraphy was 93% sensitive (true sleep [TS]) and 87% accurate (ability to detect TS and true wake) in measuring sleep versus wakefulness and was a reliable measure of sleep efficiency (SE) and sleep latency (SL). Specificity (true wake) was poor (55%) and total sleep time (TST) was underestimated by an average of 15.1 min. Wake after sleep onset (WASO) was overestimated by an average of 14.7 min. CONCLUSIONS: Actigraphy was highly sensitive and accurate and was a reliable measure of SE and SL. Although there were differences in TST and WASO measurements by actigraphy and PSG, our findings provide the basis for future studies on the use of actigraphy to monitor treatment response to wakefulness-promoting medications in youth with craniopharyngioma who demonstrate excessive daytime sleepiness.

Sleep quality in hospitalized patients with advanced cancer: an observational study using self-reports of sleep and actigraphy.

PURPOSE: Although patients with advanced cancer report poor sleep quality, few studies have assessed sleep quality with a combination of subjective and objective measures. We aimed to examine sleep quality in hospitalized patients with advanced cancer by combining patient-reported outcome-measures (PROMs) and polysomnography (PSG) or actigraphy. METHODS: A one-night prospective observational study of sleep in hospitalized patients with metastatic cancer using WHO step III opioids was conducted. Total sleep time, sleep onset latency, number of awakenings, and wake after sleep onset were assessed by PROMs and actigraphy. Sleep quality was assessed by the Pittsburgh Sleep Quality Index (PSQI) (range; 0-21), where higher scores indicate worse sleep quality. RESULTS: Forty patients were monitored. Median age was 70, median oral morphine equivalent dose was 80 mg/24 h (10-1725), median Karnofsky Performance Score was 50 (20-90), and median time to death from inclusion was 38 days (4-319). Mean PSQI score was 6.5 (SD ± 3.4). PROMs and actigraphy of mean (SD) sleep onset latency were 46 (± 64) and 35 min (± 61), respectively, while mean time awake at night was 37 (± 35) and 40 min (± 21). PROMs and actigraphy differed on number of awakenings (mean 2 (± 1) vs. 24 (± 15), p Ë‚ 0.001). Bland-Altman plots showed large individual differences between PROMs and actigraphy. PSG was not feasible. CONCLUSIONS: PROMs and actigraphy documented poor sleep quality, but a lack of agreement across methods. The study demonstrates a need to improve assessment of sleep quality and treatment of sleep disturbance in hospitalized patients with advanced cancer near end of life.

Prevalence and Correlates of Maternal and Infant Sleep Problems in a Low-Income US Sample.

OBJECTIVES: This study examined the prevalence and correlates of maternal and infant sleep problems among low-income families receiving home visiting services. METHODS: The study sample includes 1142 mother-infant dyads in Wisconsin, United States. Women completed a survey when their infants were between two weeks and one year old. Outcome data were collected using the PROMIS® sleep disturbance short form-4a and the Brief Infant Sleep Questionnaire. Correlates of sleep problems were assessed in two domains: maternal health and home environment quality. Descriptive analyses produced prevalence estimates, and multivariate regressions were performed to test hypothesized correlates of maternal and infant sleep problems. Subgroup analyses were conducted to examine the prevalence and correlates of sleep problems across different infant age groups. RESULTS: Approximately 24.5% of women reported poor or very poor sleep in the past week; 13% reported an infant sleep problem and 11% reported more than three infant wakings per night. Reported night wakings were more prevalent among younger infants but maternal and infant sleep problems were not. Multivariate results showed that poor maternal physical and mental health and low social support were associated with maternal sleep disturbance but not infant sleep problems. Bed sharing and smoking were associated with infant sleep outcomes but not maternal sleep. There was limited evidence that the correlates of maternal and infant sleep varied by infant age. CONCLUSIONS FOR PRACTICE: The findings point to alterable factors that home visiting programs and other interventions may target to enhance maternal and infant sleep.

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 (ß = 0.36, p = .008) and catastrophizing (ß = 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.

Wireless inertial measurement unit (IMU)-based posturography.

BACKGROUND: Classical posturography techniques have been recently enhanced by the use of different motion tracking devices, but for technical reasons they are not used to track directly the body spatial position of a subject. OBJECTIVE: To describe and clinically evaluate a wireless inertial measurement unit-based mobile system to track body position changes. METHODS: The developed system used a calculus transformation method using the acceleration data corrected by Kalman and Butterworth filters to output position data. A prospective non-randomized clinical study involving 15 healthy subjects was performed to evaluate the agreement between the confidence ellipse areas synchronously measured by the new developed system and a classical posturography system while performing a modified clinical test of sensory interaction in balance. RESULTS: The overall intra-class correlation index was 0.93 (CI 0.89, 0.96). Grouped by conditions, under conditions 1-4, Pearson's correlation was 0.604, 0.78, 0.882, and 0.81, respectively. CONCLUSION: The developed wireless inertial measurement unit-based posturography system was valid for tracking the sway variances in normal subjects under habitual clinical testing conditions. Further studies are needed to validate this system on patients and also under other posture conditions.

The day after: correlates of patient-reported outcomes with actigraphy-assessed sleep in cancer patients at home (inCASA project).

Subjective sleep assessment in cancer patients poorly correlates with actigraphy parameters that usually encompass multiple nights. We aimed to determine the objective actigraphy measures that best correlated with subjective sleep ratings on a night-by-night basis in cancer patients. Thirty-one cancer patients daily self-rated sleep disturbances using the single dedicated item of the MD Anderson Symptom Inventory (0-10 scale) with 18 other items, and continuously wore a wrist actigraph for 30 days. Objective sleep parameters were computed from the actigraphy nighttime series, and correlated with subjective sleep disturbances reported on the following day, using repeated measures correlations. Multilevel Poisson regression analysis was performed to identify the objective and subjective parameters that affected subjective sleep rating. Poor subjective sleep score was correlated with poor sleep efficiency (rrm = -0.13, p = 0.002) and large number of wake episodes (rrm = 0.12, p = 0.005) on the rated night. Multilevel analysis demonstrated that the expected sleep disturbance score was affected by the joint contribution of the wake episodes (exp(ß) = 1.01, 95% confidence interval = 1.00 to 1.02, p = 0.016), fatigue (exp(ß) = 1.35, 95% confidence interval = 1.15 to 1.55, p < 0.001) and drowsiness (exp(ß) = 1.70, 95% confidence interval = 1.19 to 2.62, p = 0.018), self-rated the following evening, and sleep disturbance experienced one night before (exp(ß) = 1.77, 95% confidence interval = 1.41 to 2.22, p < 0.001). The night-by-night approach within a multidimensional home tele-monitoring framework mainly identified the objective number of wake episodes computed from actigraphy records as the main determinant of the severity of sleep complaint in cancer patients on chemotherapy. This quantitative information remotely obtained in real time from cancer patients provides a novel framework for streamlining and evaluating interventions toward sleep improvement in cancer patients.

Rest-activity circadian rhythm in breast cancer survivors at 5 years after the primary diagnosis.

Rest-activity circadian rhythm (RAR) is a marker of the circadian timing system. Particular attention has been given to RAR characteristics in cancer diseases. Specifically, alterations of RAR parameters have been found, at different stages of clinical pathway, in breast cancer (BC) patients. No studies to date have analyzed RAR alterations in breast cancer survivors several years after the diagnosis. The aim of this study was to determine RAR by actigraphy in a population of BC survivors at 5 years after the primary diagnosis, and to compare their RAR characteristics with healthy controls. The study sample was 28 women: 15 BC survivors at 5 years from the primary diagnosis (BC-group) and 13 healthy controls (Ctrl-group), matched for age and body mass index. All participants have been monitored for 7 days by actigraphy to evaluate RAR. A statistically significant circadian rhythm (T = 24) was found in all 28 subjects (p < .001). The group analysis revealed a significant RAR both in BC- and Ctrl-group (p < .001). The acrophase was not different between the BC- and Ctrl-group (15:09 vs. 15:01 hr:min in BC- and Ctrl-group, respectively). In contrast, the MESOR (Midline Estimating Statistic of Rhythm) and the amplitude were lower in the BC-group with respect to the Ctrl-group. Indeed, the MESOR was 192.0 vs. 276.4 activity counts in BC- and Ctrl-group, respectively (p < .001), while the amplitude was 167.0 vs. 222.6 activity counts in BC- and Ctrl-group, respectively (p < .001). These results provide the first experimental evidence of alterations in RAR parameters in BC survivors at 5 years after the primary diagnosis. Larger studies with a prospective design are needed to assess the role of RAR in the quality of life and prognosis in BC survivors.

Feasibility, acceptability and efficacy of a text message-enhanced clinical exercise rehabilitation intervention for increasing 'whole-of-day' activity in people living with and beyond cancer.

BACKGROUND: Exercise interventions are typically delivered to people with cancer and survivors via supervised clinical rehabilitation. However, motivating and maintaining activity changes outside of the clinic setting remains challenging. This study investigated the feasibility, acceptability and efficacy of an individually-tailored, text message-enhanced intervention that focused on increasing whole-of-day activity both during and beyond a 4-week, supervised clinical exercise rehabilitation program for people with cancer and survivors. METHODS: Participants (n = 36; mean ± SD age 64.8 ± 9.6 years; 44.1 ± 30.8 months since treatment) were randomized 1:1 to receive the text message-enhanced clinical exercise rehabilitation program, or the standard clinical exercise rehabilitation program alone. Activity was assessed at baseline, 4-weeks (end of the standard program) and 12-weeks (end of enhanced program) using both device (activPAL accelerometer; sitting, standing, light-stepping, moderate-stepping) and self-report [Multimedia Activity Recall for Children and Adults (MARCA); sedentary, light, moderate-to-vigorous physical activity (MVPA)] methods. The MARCA also assessed time use domains to provide context to activity changes. Changes and intervention effects were evaluated using linear mixed models, adjusting for baseline values and potential confounders. RESULTS: The study had high retention (86%) and participants reported high levels of satisfaction [4.3/5 (±0.8)] with the intervention. Over the first 4 weeks, MARCA-assessed MVPA increased [+ 53.2 (95%CI: 2.9, 103.5) min/d] between groups, favoring the text message-enhanced program, but there were no significant intervention effects on sedentary behavior. By 12 weeks, relative to the standard group, participants in the text message-enhanced group sat less [activPAL overall sitting: - 48.2 (- 89.9, - 5.6) min/16 h awake; MARCA: -80.1 (- 156.5, - 3.8) min/d] and were participating in more physical activity [activPAL light stepping: + 7.0 (0.4, 13.6: min/16 h awake; MARCA MVPA: + 67.3 (24.0, 110.6) min/d]. The time-use domains of Quiet Time [- 63.3 (- 110.5, - 16.0) min/d] and Screen Time [- 62.0 (- 109.7, - 14.2) min/d] differed significantly between groups. CONCLUSIONS: Results demonstrate feasibility, acceptability and efficacy of a novel, text message-enhanced clinical exercise rehabilitation program to support changes in whole-of-day activity, including both physical activity and sedentary behavior. Changes were largely seen at 12-week follow-up, indicating potential for the intervention to result in continued improvement and maintenance of behavior change following a supervised exercise intervention. TRIAL REGISTRATION: This trial is registered with the Australian New Zealand Clinical Trials Registry ( ACTRN12616000641493 ; date registered 17/5/16).