scholarly journals Assessment of Sleep Duration Based on Ankle and Wrist Actigraphy in Hospitalized Older Patients

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 632-632
Author(s):  
Juliana Smichenko ◽  
Tamar Shochat ◽  
Nurit Gur-Yaish ◽  
Anna Zisberg
Keyword(s):  
Repeated Measures ◽  
Field Studies ◽  
Sleep Time ◽  
Self Report ◽  
Repeated Measure ◽  
Poor Sleep ◽  
Activity Data ◽  
Wrist Actigraphy ◽  
Sleep Assessment ◽  
Within Subjects

Abstract Poor sleep at time of hospitalization is associated with undesirable outcomes. Most studies performed in the hospital assess sleep by self-report, while only few rely on actigraphy. Although wrist actigraphy is commonly used for sleep assessment in field studies, in-hospital assessment may be challenging and cumbersome due to other more necessary monitoring devices that are often attached to patients’ upper limbs, that may in turn affect interpretation of wrist activity-data. Placement on the ankle may be a viable solution. In this pilot study, we aimed to compare total sleep time (TST) using concomitant wrist and ankle actigraphy as well as self-report. Twenty-one older adults (65+) hospitalized in medical units wore ankle and wrist actigraphy devices and subjectively estimated their TST for an average of (2.15±1.01) nights. A total of 45 nights were available for analysis. Average TST in minutes was 332.06±81.58, 427.05±97.74 and 374.28±124.96 based on wrist, ankle, and self-report, respectively. Repeated measure mixed models analysis was performed adjusting for age, gender, and sleep medications. TST was significantly lower using wrist compared to ankle actigraphy (F(2,102)=7.63, p=0.0008), and both were not different from self-report. No significant within subjects variation and no interaction between device and repeated measures were found. Despite differences between ankle and wrist assessments, all three provide consistent TST estimation within subjects. Self-report provides a stable and accessible assessment of TST, representing a good approximation of ankle and wrist actigraphy. Findings provide preliminary support for the use of ankle actigraphy for sleep assessment in hospital settings.

scholarly journals 0825 Sleep During Pregnancy Through One Year Postpartum: Correspondence Between Actigraphy and Self-Report Measures

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A314-A315
Author(s):  
C M Beverly Hery ◽  
L M Christian
Keyword(s):  
Sleep Time ◽  
Epidemiologic Studies ◽  
Self Report ◽  
Poor Sleep ◽  
Hormonal Changes ◽  
Time In Bed ◽  
Wrist Actigraphy ◽  
Pregnancy And Postpartum ◽  
One Year ◽  
In Pregnancy

Abstract Introduction Disrupted sleep and shorter sleep duration is common in pregnancy, due to hormonal changes and physical discomfort, and in postpartum due to new infants. Objective data in this population studied over more than one year are lacking. The current analysis focuses on actigraphy-based and self-reported sleep. We examined the level of correspondence between these two complementary measurement modalities. Methods Pregnant women were enrolled in the Stress and Health in Pregnancy and Postpartum (SHIPP) study. Study visits were conducted from 2016-2019 during the 3rd trimester, 4-6 weeks postpartum, and 4 months, 8 months, and 12 months postpartum. Participants completed the Pittsburgh Sleep Quality Index (PSQI) and provided wrist-actigraphy data (Actiwatch, Philips Respironics) for one week prior to each study visit. Actigraphy-based time in bed (TIB), total sleep time (TST), sleep efficiency (SE), WASO and sleep latency (SL) were calculated. Correlations were conducted between actigraphy-based and self-reported PSQI sleep measures. Results 79 women (28.9±4.6 years) provided complete actigraphy data (≥3 valid days; 6.4±1.0 days) for at least one time point. Objective TST from the 3rd trimester to 12-months postpartum was 7.19, 6.87, 6.86, 6.89, and 6.78 hours, respectively. Actigraphy-based TIB was positively correlated with self-reported TIB at all five visits (r’s: 0.37-0.62, p’s<0.01). Actigraphy-based TST was positively correlated with self-reported TST (r’s: 0.27-0.48, p’s<0.05) at all visits. Actigraphy-based SE was negatively correlated with the PSQI Global Score at 4, 8, and 12 months postpartum (r’s: -0.29 to -0.39, p’s<0.05). Of note, actigraphy-based WASO and SL were not consistently correlated with any self-reported PSQI sleep measures. Conclusion Ensuring collection of accurate sleep data during pregnancy and postpartum is important, as poor sleep is associated with negative health outcomes for both mother and child. Self-reported data is common in large, epidemiologic studies yet actigraphy-based measures may capture different aspects of sleep than self-report. Support This study was supported by the National Institutes of Health (R01 NR01366).

scholarly journals Sleep and Olfaction among Older Adults

2017 ◽  
Vol 48 (3-4) ◽  
pp. 147-154 ◽  
Author(s):  
V. Eloesa McSorley ◽  
Jayant Pinto ◽  
L. Philip Schumm ◽  
Kristen Wroblewski ◽  
David Kern ◽  
...  
Keyword(s):  
Older Adults ◽  
Sleep Quality ◽  
Structural Equation Models ◽  
Sleep Problems ◽  
Community Dwelling ◽  
Odor Identification ◽  
Self Report ◽  
Poor Sleep ◽  
Wrist Actigraphy ◽  
Odor Sensitivity

Background: Sleep and olfaction are both critical physiological processes that tend to worsen with age. Decline in olfaction can be an early indicator of neurodegenerative diseases, whereas poor sleep quality is associated with reduced physical and mental health. Given associations with aging-related health declines, we explored whether variations in sleep were associated with olfactory function among older adults. Methods: We assessed the relationship between sleep characteristics and olfaction among 354 community-dwelling older adults. Olfaction was measured using a validated field and survey research tool. Sleep characteristics were measured using wrist actigraphy and with self-report of sleep problems. We fit structural equation models of latent constructs of olfaction based on olfactory task items and let this be a function of each sleep characteristic. Results: Actigraph sleep quality measures were associated with odor identification, but not with odor sensitivity. Longer duration sleepers had worse odor sensitivity compared to medium (58 h) sleepers, but sleep duration was not associated with odor identification. Reported sleep problems and reported usual duration were not associated with olfaction. Conclusions: Diminished sleep quality was associated with reduced capacity to identify odors. Determining whether this is a causal association will require further study and longitudinal data.

scholarly journals Application of Mobile Augmented Visual Reality (MAVR) for Vocabulary Learning in the ESL Classroom

2021 ◽  
Vol 17 (3) ◽  
pp. 162
Author(s):  
Ilyana Jalaluddin ◽  
Ramiza Darmi ◽  
Lilliati Ismail
Keyword(s):  
Augmented Reality ◽  
Repeated Measures ◽  
English Language ◽  
Implementation Process ◽  
Repeated Measure ◽  
Vocabulary Size ◽  
School Students ◽  
Visual Reality ◽  
Within Subjects ◽  
Learning English

Abstract: This repeated measure experiment study aimed to explore LINUS students or Low Achiever (LA) students’ improvement in learning English language vocabularies using Mobile Augmented Visual Reality (MAVR). It specifically tried to analyse the effect of MAVR on the English vocabulary development of 45 primary school students from the LINUS programme in Selangor. In this study, they were provided access to an AVR-game based apps in learning English vocabularies with mobile computing devices. Vocabulary size was later measured using the British Picture Vocabulary Scale II and analysed with repeated measures ANOVA. Analysis showed that there was an increase in the scores and the differences between the levels of the within-subjects factor was significant. This implies that Mobile Augmented Visual Reality (MAVR) materials can be used as an interactive tool for LA learners in learning a language. Findings highlight the role of teachers in the implementation process and point out possible directions for more effective application of MAVR in this field.   Keywords: Augmented Reality (AR), LINUS students, Mobile Augmented Reality (MAVR), Visual Reality (VR), Vocabulary.

scholarly journals Associations of Actigraphic Sleep Parameters With Fatigability in Older Adults

2020 ◽  
Vol 75 (9) ◽  
pp. e95-e102 ◽  
Author(s):  
Alfonso J Alfini ◽  
Jennifer A Schrack ◽  
Jacek K Urbanek ◽  
Amal A Wanigatunga ◽  
Sarah K Wanigatunga ◽  
...  
Keyword(s):  
Older Adults ◽  
Perceived Exertion ◽  
Sleep Onset ◽  
Later Life ◽  
Sleep Time ◽  
Community Dwelling ◽  
Rating Of Perceived Exertion ◽  
Poor Sleep ◽  
Wrist Actigraphy ◽  
Sleep Parameters

Abstract Background Poor sleep may increase the likelihood of fatigue, and both are common in later life. However, prior studies of the sleep–fatigue relationship used subjective measures or were conducted in clinical populations; thus, the nature of this association in healthier community-dwelling older adults remains unclear. We studied the association of actigraphic sleep parameters with perceived fatigability—fatigue in response to a standardized task—and with conventional fatigue symptoms of low energy or tiredness. Methods We studied 382 cognitively normal participants in the Baltimore Longitudinal Study of Aging (aged 73.1 ± 10.3 years, 53.1% women) who completed 6.7 ± 0.9 days of wrist actigraphy and a perceived fatigability assessment, including rating of perceived exertion (RPE) after a 5-minute treadmill walk or the Pittsburgh Fatigability Scale (PFS). Participants also reported non-standardized symptoms of fatigue. Results After adjustment for age, sex, race, height, weight, comorbidity index, and depressive symptoms, shorter total sleep time (TST; <6.3 hours vs intermediate TST ≥6.3 to 7.2 hours) was associated with high RPE fatigability (odds ratio [OR] = 2.56, 95% confidence interval [CI] = 1.29, 5.06, p = .007), high PFS physical (OR = 1.88, 95% CI = 1.04, 3.38, p = .035), and high mental fatigability (OR = 2.15, 95% CI = 1.02, 4.50, p = .044), whereas longer TST was also associated with high mental fatigability (OR = 2.19, 95% CI = 1.02, 4.71, p = .043). Additionally, longer wake bout length was associated with high RPE fatigability (OR = 1.53, 95% CI = 1.14, 2.07, p = .005), and greater wake after sleep onset was associated with high mental fatigability (OR = 1.14, 95% CI = 1.01, 1.28, p = .036). Conclusion Among well-functioning older adults, abnormal sleep duration and sleep fragmentation are associated with greater perceived fatigability.

scholarly journals Assessing sleep quality in older adults: A comparison of three measurement approaches

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 882-882
Author(s):  
Amy Berkley ◽  
Patricia Carter
Keyword(s):  
Older Adults ◽  
Sleep Quality ◽  
Assessment Tool ◽  
Sleep Problems ◽  
Adult Population ◽  
Sleep Onset ◽  
Self Report ◽  
Sleep Onset Latency ◽  
Wrist Actigraphy ◽  
Sleep Assessment

Abstract Discrepancies between subjective and objective sleep measures have been reported for some time; however, it is critical to consider the implications of inaccurate or incomplete sleep assessment for frail older adults who are struggling to maintain independence. To compare sleep assessment methods, we collected objective sleep measurements (via wrist actigraphy), subjective measures via self-report sleep surveys (Pittsburgh Sleep Quality Index; Insomnia Severity Index, Sleep Hygiene Index), and qualitative data through semi-structured audio-recorded interviews, from 8 older adults who self-reported sleep problems while living in a retirement community in southwestern US. Participants’ objective sleep (Total Sleep Time, Sleep Onset Latency, Wake After Sleep Onset, and Sleep Efficiency) and qualitative narratives were congruent, but self-report measures failed to capture several unique sleep problems identified in the sample. Disordered sleep in older adults has been linked to increased incidence of falls, depression and anxiety, cognitive impairment, institutionalization, and mortality, but traditional sleep assessment instruments, designed for the general adult population, fail to capture many of the experiences and causes that are unique to older adults. functioning. A sleep assessment tool designed to measure older people’s sleep experiences could provide more accurate and sensitive data.

scholarly journals Effect of Trataka (Yogic Visual Concentration) on the Performance in the Corsi-Block Tapping Task: A Repeated Measures Study

2021 ◽  
Vol 12 ◽  
Author(s):  
P. S. Swathi ◽  
Raghavendra Bhat ◽  
Apar Avinash Saoji
Keyword(s):  
Spatial Memory ◽  
Repeated Measures ◽  
Training Session ◽  
Repeated Measure ◽  
Exercise Session ◽  
Attention And Memory ◽  
Measure Analysis ◽  
Within Subjects ◽  
Repeated Measure Analysis ◽  
The Difference

Background and Objective: Attention and memory are essential aspects of cognitive health. Yogasanas, pranayama, and meditation have shown to improve cognitive functions. There has been no assessment of Trataka (yogic visual concentration) on working or on spatial memory. The present study was planned to assess the immediate effects of Trataka and of eye exercise sessions on the Corsi-block tapping task (CBTT).Methods: A total of 41 healthy volunteers of both genders with age 23.21 ± 2.81 years were recruited. All participants underwent baseline assessment, followed by 2 weeks of training in Trataka (including eye exercise). Each training session lasted for 20 min/day for 6 days a week. After completion of the training period, a 1-week washout period was given. Each participant then was assessed in two sessions in Trataka and in eye exercise on two separate days, maintaining the same time of the day. Repeated measure analysis of variance with Holm’s adjustment was performed to check the difference between the sessions.Results: Significant within-subjects effects were observed for forward Corsi span andforward total score (p < 0.001), and also for backward Corsi span (p < 0.05) and backward total score (p < 0.05). Post hoc analyses revealed Trataka session to be better than eye exercises and baseline. The eye exercise session did not show any significant changes in the CBTT.Conclusion: The result suggests that Trataka session improves working memory, spatial memory, and spatial attention.

scholarly journals Can Remote Monitoring Measure Life Activity and Caregiver Experience? Early Results of Multi-modal Assessments

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 1003-1003
Author(s):  
Allison Lindauer ◽  
Walter Dawson ◽  
Sarah Gothard ◽  
Leslie Tran ◽  
Zachary Beattie ◽  
...  
Keyword(s):  
Small Sample Size ◽  
Objective Assessment ◽  
Sleep Time ◽  
Small Sample ◽  
Self Report ◽  
Digital Data ◽  
Life Activity ◽  
Activity Data ◽  
Early Results ◽  
Subjective Assessments

Abstract Subjective assessments of dementia caregiver burden are vulnerable to recall and recency biases. Objective continuous home assessment using passive technologies (e.g., bed mats, actigraphy watches) can provide ecologically valid detail on caregiver stress and family function. We tested the utility of objective assessment of activity before, during and after the behavioral intervention of STELLA (Support via Technology: Living and Learning with Advancing AD) which facilitates effective online management of behavioral symptoms of dementia. We present preliminary data on objective measures of sleep and step counts, and subjective measures of burden. We captured data from three caregivers caring for a family member with dementia. Each family lives in home with unobtrusive monitoring devices that recorded data on sleep (Emfit sleep mat) and daily steps (Withings watch). Self-report assessments of burden, depression and grief were collected prior to and after the 2-month intervention. Objective data was collected continuously. Pre/post subjective assessments suggest that the STELLA intervention has the potential to reduce behavioral symptom frequency and caregiver reactivity to symptoms (pre-STELLA behavior frequency=44.9, post=39.2; pre-STELLA reactivity=50.5; post=38.5). Step count ranged from 775 steps/day to 5065, with each participant trending fewer steps during the intervention. Mean sleep time ranged from 6.3 to 8.6 hours and didn’t change during the intervention. The small sample size limits interpretation but provides evidence that it is feasible to collect continuous objective life-activity data during caregiver interventions. This digital data has the potential to inform the validity of subjective findings by limiting recall and recency biases.

063 Differential Impact of Sleep Duration on Nocturnal Blood Pressure Dipping Between Men and Women

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A26-A26
Author(s):  
Jeremy Bigalke ◽  
Ian Greenlund ◽  
Jennifer Nicevski ◽  
Neha John-Henderson ◽  
Jason Carter
Keyword(s):  
Blood Pressure ◽  
Sleep Duration ◽  
Significant Relationship ◽  
Sleep Time ◽  
Cardiovascular Complications ◽  
Poor Sleep ◽  
Sample Population ◽  
Wrist Actigraphy ◽  
Nocturnal Blood Pressure Dipping ◽  
The Impact

Abstract Introduction There is growing evidence that poor sleep may have a greater impact on the development of cardiovascular complications in women compared to men. However, most studies that have evaluated the impact of sex on sleep insufficiencies and blood pressure (BP) have not utilized ambulatory BP, and often rely more heavily on subjective sleep diaries as opposed to objective sleep assessment. The purpose of this study was to examine the impact of sex on the relationship between objectively measured sleep and nocturnal BP dipping. We hypothesized that poor sleep would be associated with decreased nocturnal BP dipping, and that this association would be stronger in women. Methods Total sleep time (TST) and sleep efficiency (SE) were monitored in fifty adults (31 men, 19 women; 36±3 years; 26±1 kg/m2) utilizing wrist actigraphy monitoring over the course of 5–14 days (Avg: 10±0 days). On a separate occasion, participants underwent a 24-hour ambulatory BP recording session. Independent samples T-tests were used to compare characteristics between sexes. Partial correlations controlling for age and BMI were utilized to probe relationships between sleep and nocturnal BP dipping. Results TST and SE were not different between sexes. However, women exhibited reduced mean arterial pressure (MAP: 86±1 vs. 90±1 mmHg, P=0.026) compared to men. Partial correlation revealed a significant relationship between TST and the magnitude of nocturnal MAP dipping in the sample population (R = 0.460, P<0.001). When stratified by sex, this significant relationship persisted in men (R = 0.610, P<0.001), but not women (R = 0.108, P>0.05). In contrast, no relationship was observed between SE and nocturnal MAP dipping (R = -0.052, P>0.05) for the sample population. Similarly, SE did not correlate with nocturnal MAP dipping in men (R = -0.080, P>0.05) or women (R = 0.045, P>0.05). Conclusion Contrary to our initial hypothesis, our results demonstrate that actigraphy-based TST is associated with nocturnal BP dipping in healthy men, but not women. This suggests a relation between impaired nocturnal BP regulation and habitual sleep duration, potentially predisposing men to an increased overall risk for cardiovascular complications. Support (if any) National Institutes of Health (HL-098676 and HL-122919)

scholarly journals A Practical Guide to Analyzing Time-Varying Associations between Physical Activity and Affect Using Multilevel Modeling

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Jinhyuk Kim ◽  
David Marcusson-Clavertz ◽  
Fumiharu Togo ◽  
Hyuntae Park
Keyword(s):  
Physical Activity ◽  
Multilevel Modeling ◽  
Repeated Measures ◽  
Self Report ◽  
Activity Data ◽  
Psychological States ◽  
Physical Activity Data ◽  
Physiological Variables ◽  
Practical Guide ◽  
Self Report Data

There is growing interest in within-person associations of objectively measured physical and physiological variables with psychological states in daily life. Here we provide a practical guide with SAS code of multilevel modeling for analyzing physical activity data obtained by accelerometer and self-report data from intensive and repeated measures using ecological momentary assessments (EMA). We review previous applications of EMA in research and clinical settings and the analytical tools that are useful for EMA research. We exemplify the analyses of EMA data with cases on physical activity data and affect and discuss the future challenges in the field.

Choice of Processing Method for Wrist-Worn Accelerometers Influences Interpretation of Free-Living Physical Activity Data in a Clinical Sample

2019 ◽  
Vol 2 (4) ◽  
pp. 228-236
Author(s):  
Laura D. Ellingson ◽  
Paul R. Hibbing ◽  
Gregory J. Welk ◽  
Dana Dailey ◽  
Barbara A. Rakel ◽  
...  
Keyword(s):  
Physical Activity ◽  
Repeated Measures ◽  
Clinical Sample ◽  
Processing Method ◽  
Self Report ◽  
Kappa Statistics ◽  
Free Living ◽  
Activity Data ◽  
Processing Methods ◽  
Advance Research

Wrist-worn accelerometers are increasingly used to assess free-living physical activity (PA), but the implications of different processing methods are not well characterized. To advance research in this area it is important to better understand how choice of processing method influences estimates of free-living PA behavior. This study compared PA profiles resulting from processing wrist-worn data collected under free-living conditions using four different methods in a clinical sample of 160 women with chronic pain, a condition for which PA serves as a treatment. Participants wore monitors on their non-dominant wrist for 7 days and completed a self-report PA measure. Processing methods were Hildebrand linear, a modified nonlinear Hildebrand, Staudenmayer linear, and Staudenmayer random forest. Using each method, minutes per day in sedentary, light, and moderate-to-vigorous PA (MVPA) were estimated and individuals were classified as meeting PA guidelines based on their accumulated MVPA. Comparisons of outcomes among processing methods and with self-reported PA were made using repeated measures ANOVA, correlations, and kappa statistics. With few exceptions, estimated time at each intensity differed significantly across processing methods and with self-report (p < .001). Correlations between methods ranged widely (ρrange = 0.09 to 1.00) and showed inconsistent agreement for classifying individuals as meeting PA guidelines (κrange: −0.02 to 0.90). Thus, choice of processing method significantly influenced conclusions regarding free-living PA. Researchers and clinicians should exercise caution when interpreting accelerometer activity data and comparing across existing studies using different processing methods when examining how PA influences clinical conditions.

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