scholarly journals Association Between Evening Light Exposure and Subjective Sleep Measures Among People Living With Dementia

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 437-438
Author(s):  
Yeji Hwang ◽  
Sonia Talwar ◽  
Nancy Hodgson ◽  
Miranda McPhillips
Keyword(s):  
Clinical Trial ◽  
Daytime Sleepiness ◽  
Light Exposure ◽  
Bright Light ◽  
Secondary Data ◽  
Poor Sleep ◽  
Subjective Sleep ◽  
Nighttime Sleep ◽  
The Relationship ◽  
White Light Intensity

Abstract Excessive light exposure before bedtime can disrupt one’s circadian rhythm and can lead to poor sleep. The purpose of this study was to describe the relationship between evening light exposure and subjective sleep measures in people living with dementia (PLWD). We conducted secondary data analysis using the baseline data from Healthy Patterns Clinical Trial (N=137). We used Actiwatch Spectrum Plus to collect light data over three consecutive days. We defined evening light exposure as the average white light intensity for 4 hours before sleep. Sleep measures included Epworth Sleepiness Scale and PROMIS Sleep-Related Impairment. We used univariate regression analysis. We found that that greater evening intensity of light exposure was associated with higher daytime sleepiness (𝛽=0.209, p=0.015) and more sleep impairment (𝛽=0.228, p=0.014). The results of our study suggest that exposure to bright light during evening can disturb nighttime sleep and increase daytime sleepiness in PLWD.

scholarly journals Children’s objective sleep assessed with wrist-based accelerometers: strong heritability of objective quantity and quality unique from parent-reported sleep

SLEEP ◽  
2020 ◽  
Author(s):  
Reagan S Breitenstein ◽  
Leah D Doane ◽  
Kathryn Lemery-Chalfant
Keyword(s):  
Sleep Duration ◽  
Daytime Sleepiness ◽  
Environmental Influences ◽  
Shared Environment ◽  
Multiple Objective ◽  
Poor Sleep ◽  
Sleep Onset Latency ◽  
Sleep Quantity ◽  
Subjective Sleep ◽  
Nighttime Sleep

Abstract Children’s poor sleep is a risk factor for lower cognitive functioning and internalizing and externalizing problems. It is unclear whether genetic and environmental influences vary based on sleep assessment and no studies to date have examined genetic and environmental contributions to links between multiple objective and subjective sleep indicators. Further, nearly all heritability studies rely on subjective parent- or self-report measures of sleep duration and problems. Given these gaps in the literature, we (1) modeled genetic and environmental influences on multiple objective and subjective sleep indicators and (2) estimated genetic and environmental covariances between objective and subjective sleep indicators in middle childhood. Participants were 608 twin children (MZ = 178, same-sex DZ = 234, opposite-sex DZ = 190) assessed at 8 years of age (SD = 0.63 years). Objective nighttime sleep duration, efficiency, sleep onset latency (SOL), midpoint time, and midpoint variability were collected from actigraph watches worn for 7 nights (Mnights = 6.83, SD = 0.62). Children’s nighttime sleep duration and daytime sleepiness were assessed via parent report. Findings suggested high additive genetic influence on objective sleep quantity and quality, whereas objective SOL, sleep midpoint time, midpoint variability, parent-reported sleep duration, and daytime sleepiness were largely influenced by the shared environment. Common genetic factors explained associations between objective sleep quantity and quality, but genetics did not account for links with parent-reported sleep duration, midpoint time, or midpoint variability. Thus, objective and parent-reported assessments of children’s sleep have unique genetic etiologies and should not be used interchangeably in the sleep literature.

scholarly journals 1134 Light Exposure At Daytime On Sleep Quality In Stroke Patient During Rehabilitation

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A432-A432
Author(s):  
W Liao ◽  
S Lin ◽  
N Meng ◽  
H Tin ◽  
S Tsai ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Stroke Patient ◽  
Light Exposure ◽  
Sleep Onset ◽  
Bright Light ◽  
Sleep Efficiency ◽  
Poor Sleep ◽  
Cross Sectional ◽  
Melatonin Concentration ◽  
Improve Sleep Quality

Abstract Introduction Lights maintain the day and night rhythm to set patients’ “wake-up cycle” and to stabilize their physiological functions, which may be expected to improve sleep. This study was aimed to investigate the relations between sleep quality and daytime light exposure in stroke patient during rehabilitation. Methods A cross-sectional study design was adopted and 120 stroke patients were recruited from rehabilitation wards of two medical centers and 116 patients completed this study. Research instruments including the Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, Sleep Log, and Somnowatch (Germany) for actigaphy sleep and light were used to collect data and urinary melatonin concentration were measured. Results 47.4% of the patients had poor sleep quality (PSQI>5), 74.1% had actigraphic sleep efficiency less than 85%, and 90.5% waked more than 30 minutes after sleep onset. The average exposure time at lower level light (≤149 lux) were 288.8 minutes, accounting for 48% of the day (8:00-18:00). Compared to lower light exposure group (less than 319.5 min at >150 lux), those who exposed to higher level light (more than 319.5 min at >150 lux) had increased 52.1 minutes in actigraphic total sleep time (TST, t=-2.134, p=0.035), increased 8% in actigraphic sleep efficiency (SE, t=-2.053, p=0.042), and decreased 41.1 minutes in actigraphic wake-after-sleep-onset (WASO, t=2.209, p=0.029). Urinary melatonin concentration increased 52.7 pg/ml, but not statistically significant (t=-1.277, p=0.205). Result of multiple regression analysis showed that after controlling for age, gender, post-stroke complications, and environmental interference, time of bright light exposure significantly affected subjective sleep satisfaction (p=0.014), TST (p=0.04), SE (p=0.041), and WASO (p=0.026). Conclusion Increasing time of bright illumination (≥150 lux) during daytime may improve sleep quality. Results of this study provide empirical references for non-drug intervention to improve sleep quality in patients with stroke. Support This study was supported by the Ministry of Science and Technology, MOST 105-2628-B-040 -005 -MY2.

scholarly journals 0981 Sleep Practices In Pediatric Cancer—Does Sleep Hygiene Matter For Reducing Cancer Symptom Burden?

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A372-A373
Author(s):  
L C Daniel ◽  
Y Gross ◽  
L Meltzer ◽  
C Forrest ◽  
L Barakat
Keyword(s):  
Pediatric Cancer ◽  
Sleep Disturbances ◽  
Symptom Burden ◽  
Sleep Hygiene ◽  
Pain Interference ◽  
Poor Sleep ◽  
Patient Centered ◽  
Nighttime Sleep ◽  
The Relationship ◽  
Parent Proxy

Abstract Introduction Sleep disturbances are common during pediatric cancer treatment and recent evidence suggests a correlation between sleep and symptom burden. Improving nighttime sleep may impact patients’ ability to cope with symptoms. The current study tests the interaction between sleep hygiene and sleep disturbances in predicting cancer-related symptoms to determine if the relationship between sleep and symptoms is different for patients with better sleep hygiene. Methods 102 caregivers of children with cancer (ages 5-17, M=10.12, SD=4.02; 58% female) completed parent-proxy Pediatric Sleep Practices Questionnaire (yielding routine consistency and sleep opportunity scores) and measures of cancer-related symptoms (PROMIS Sleep Disturbance, Fatigue, and Pain Interference; PedsQL—Cancer Module-Nausea subscale). The interaction between sleep disturbances and sleep hygiene (consistency, opportunity) on each symptom (pain, nausea, fatigue) were tested using PROCESS moderation. Results 81% of caregivers report that their child receives sufficient sleep but only 12% reported regular consistent sleep patterns/routines. Sleep opportunity was not related to sleep disturbances or cancer-related symptoms, but more routine consistency was related to fewer sleep disturbances (r=.30, p=.003). The interaction between sleep disturbances and routine consistency significantly predicted pain interference [R2=.16, F(3, 98)=6.37, p<.001; Bint =-0.17, p=.028] and nausea [R2=.16, F(3, 98)=6.47, p<.001; Bint=0.46, p=.004]. The interaction between sleep disturbances and sleep opportunity significantly predicted nausea [R2=.15, F(3, 98)=5.76, p=.001; Bint =0.68, p=.016] but not pain interference. Both interaction models predicting fatigue were not significant. Conclusion The sleep/pain and sleep/nausea relationships are stronger in patients with more consistent sleep routines and the sleep/nausea relationship is also stronger in patients with sufficient/well-timed sleep opportunities. Sleep and fatigue were moderately related across all levels of both sleep hygiene components. Clinical interventions that target sleep hygiene together with sleep disturbances such as nighttime awakenings and poor sleep quality may be more effective in addressing cancer-related symptoms such as pain and nausea. Support This work was supported in part by funding from the Patient-Centered Outcomes Research Institute (PCORI-D-17-00187; PI Christopher Forrest).

scholarly journals ASSOCIATIONS OF GENERAL MENTAL HEALTH SYMPTOMS WITH SUBJECTIVE SLEEP QUALITY AND INDIVIDUAL DAYTIME SLEEPINESS

2019 ◽  
Vol 6 (4) ◽  
pp. 192-199
Author(s):  
R.S. Schierholz ◽  
I. Zavgorodniy ◽  
S. Darius ◽  
I. Böckelmann
Keyword(s):  
Mental Health ◽  
Sleep Quality ◽  
Daytime Sleepiness ◽  
General Health Questionnaire ◽  
Poor Sleep ◽  
Mental Health Symptoms ◽  
Subjective Sleep Quality ◽  
Health Symptoms ◽  
General Mental Health ◽  
Subjective Sleep

ASSOCIATIONS OF GENERAL MENTAL HEALTH SYMPTOMS WITH SUBJECTIVE SLEEP QUALITY AND INDIVIDUAL DAYTIME SLEEPINESS Schierholz RS, Zavgorodniy I., Darius S., Böckelmann I. Purpose: Sufficient sleep quality plays a significant role for long-term physical and mental health. The aim of this study was to examine the associations of general mental health symptoms with sleep quality and daytime sleepiness. Materials and Methods: A cross-sectional survey with 84 included participants (female: n = 42, male: n = 42) was conducted. General mental health symptoms were assessed using the 12-item General Health Questionnaire (GHQ-12), sleep quality was measured with the Pittsburgh Sleep Quality Index (PSQI), and daytime sleepiness was evaluated with the Epworth Sleepiness Scale (ESS). Statistical differences were calculated using two-sample t-test and Mann-Whitney U test. For correlation analyses Spearman’s rank correlation was used. Results: Subjects with poor sleep quality reached higher scores in the GHQ-12 and in the ESS than subjects with good sleep quality, but the difference regarding the ESS was not significant. Higher GHQ-12 scores were associated with higher PSQI scores but not with higher ESS scores. Conclusions: Major findings show strong evidence of an association between general mental health symptoms and sleep quality with poor sleepers having a more disturbed mental health than good sleepers. Further evidence of the interrelationship between subjective sleep quality and general mental health symptoms was found. Keywords: Mental health, Work ability, Stress, Sleep, Insomnia   Абстракт ЗВ’ЯЗОК ЗАГАЛЬНИХ СИМПТОМІВ ПСИХІЧНОГО ЗДОРОВ'Я З СУБ'ЄКТИВНОЮ ЯКІСТЮ СНУ ТАІНДИВІДУАЛЬНОЮ ДЕННОЮ СОНЛИВІСТЮ Робін Себастьян Шірхольц*, Ігор Завгородній, Сабіна Даріус, Ірина Беккельман Мета: Достатня якість сну відіграє важливу роль для тривалого фізичного та психічного здоров’я. Метою цьогодослідження було вивчення залежності загальних симптомів психічного здоров’я від якісті сну та денноїсонливості. Матеріали та методи: Було проведено перехресне опитування за участю 84 учасників (жінки: n = 42, чоловіки: n= 42). Загальні симптоми психічного здоров’я оцінювали за допомогою Анкети загального здоров’я (GHQ-12), яка містить 12 пунктів; якість сну оцінювали за допомогою Пітсбургського опитувальника якості сну (PSQI), а денну сонливість оцінювали за Шкалою сонливості Епворта (ESS). Статистичні відмінності розраховувались за допомогою двопробного t-тесту та U-тесту Манна-Вітні. Для кореляційного аналізу було використано рангову кореляцію Спірмена. Результати: Суб'єкти з низькою якістю сну показали більш високі показники у GHQ-12 та ESS, ніж суб'єкти із хорошою якістю сну, але різниця щодо ESS була несуттєвою. Більш високі показники GHQ-12 були пов'язані з більш високими показниками PSQI, але не з більш високими показниками ESS. Висновки: Основні результати виявляють вагомі докази зв'язку між загальними симптомами психічного здоров’я та якістю сну людей, які погано сплять, та людей з міцним сном. У людей з поганим сном більш виражені порушення психічного здоров’я. Були знайдені додаткові докази взаємозв'язку між суб'єктивною якістю сну та загальними симптомами психічного здоров'я. Ключові слова: Психічне здоров'я, працездатність, стрес, сон, безсоння    Абстракт СВЯЗЬ ОБЩИХ СИМПТОМОВ ПСИХИЧЕСКОГО ЗДОРОВЬЯ С СУБЪЕКТИВНЫМ КАЧЕСТВОМ СНА И ИНДИВИДУАЛЬНОЙ ДНЕВНОЙ СОНЛИВОСТЬЮ Робин Себастьян Ширхольц, Игорь Завгородний, Сабина Дариус, Ирина Беккельманн Цель: Достаточное качество сна играет важную роль для долгосрочного физического и психического здоровья. Целью данного исследования было изучение связи общих симптомов психического здоровья с качеством сна и дневной сонливостью. Материалы и методы. Было проведено перекрестное исследование с 84 участниками (женщины: n = 42, мужчины: n = 42). Общие симптомы психического здоровья оценивали с использованием Общего опросника здоровья (GHQ-12), содержащего 12 пунктов; качество сна оценивали с помощью Питтсбургского опросника качества сна (PSQI), а дневную сонливость оценивали по Шкале сонливости Эпворта (ESS). Статистические различия рассчитывали с использованием двухпробного t-теста и U-теста Манна-Уитни. Для корреляционного анализа была использована ранговая корреляция Спирмена. Результаты: Субъекты с плохим качеством сна показали более высокие баллы в GHQ-12 и в ESS, чем субъекты с хорошим качеством сна, но разница в отношении ESS не была значительной. Более высокие показатели GHQ-12 были связаны с более высокими показателями PSQI, но не с более высокими показателями ESS. Выводы: Основные результаты обнаруживают убедительные доказательства связи между общими симптомами психического здоровья и качеством сна людей, которые плохо спят, и людей с крепким сном. У людей с плохим сном более выражены нарушения психического здоровья. Были найдены дополнительные доказательства взаимосвязи между субъективным качеством сна и общими симптомами психического здоровья. Ключевые слова: психическое здоровье, трудоспособность, стресс, сон, бессонница

scholarly journals Workaholism, Intensive Smartphone Use, and the Sleep-Wake Cycle: A Multiple Mediation Analysis

2019 ◽  
Vol 16 (19) ◽  
pp. 3517 ◽  
Author(s):  
Spagnoli ◽  
Balducci ◽  
Fabbri ◽  
Molinaro ◽  
Barbato
Keyword(s):  
Sleep Quality ◽  
Sleep Disorders ◽  
Daytime Sleepiness ◽  
Self Report ◽  
Poor Sleep ◽  
Multiple Mediation ◽  
Smartphone Use ◽  
The Relationship ◽  
Mediation Models

Recent contributions have reported sleep disorders as one of the health impairment outcomes of workaholism. A possible factor affecting the sleep-wake cycle might be the intensive use of smartphones. The current study aimed to explore the role of intensive smartphone use in the relationship between workaholism and the sleep-wake cycle. Two serial multiple mediation models were tested on a sample of 418 employees, who filled self-report questionnaires measuring workaholism, use of smartphones, sleep quality and daytime sleepiness, using conditional process analysis for testing direct and indirect effects. Results supported our hypotheses regarding two serial multiple mediation models—that intensive smartphone use and poor sleep quality mediated the relationship between workaholism and daytime sleepiness, and that smartphone use and daytime sleepiness mediated the relationship between workaholism and poor quality of sleep. Although the use of a cross-sectional design and the snowball technique for collecting data can be considered as possible limitations, the current study is one of the first to document the potential detrimental role of the intensive smartphone use on the workaholism-sleep disorders relationship.

scholarly journals The relationship between shift work and sleep patterns in nurses

2013 ◽  
Vol 18 (3) ◽  
pp. 763-768 ◽  
Author(s):  
Milva Maria Figueiredo De Martino ◽  
Ana Cristina Basto Abreu ◽  
Manuel Fernando dos Santos Barbosa ◽  
João Eduardo Marques Teixeira
Keyword(s):  
Sleep Quality ◽  
Shift Work ◽  
Pittsburgh Sleep Quality Index ◽  
Sleep Diary ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Work Habits ◽  
Significant Difference ◽  
Nighttime Sleep ◽  
The Relationship

The scope of this study was to evaluate the sleep/wake cycle in shift work nurses, as well as their sleep quality and chronotype. The sleep/wake cycle was evaluated by keeping a sleep diary for a total of 60 nurses with a mean age of 31.76 years. The Horne & Östberg Questionnaire (1976) for the chronotype and the Pittsburgh Sleep Quality Index (PSQI) for sleep quality were applied. The results revealed a predominance of indifferent chronotypes (65.0%), followed by moderately evening persons (18.3%), decidedly evening persons (8.3%), moderately morning persons (6.6%) and decidedly morning persons (1.8%). The sleep quality perception was analyzed by the visual analogical scale, showing a mean score of 5.85 points for nighttime sleep and 4.70 points for daytime sleep, which represented a statistically significant difference. The sleep/wake schedule was also statistically different when considering weekdays and weekends. The PSQI showed a mean of 7.0 points, characterizing poor sleep quality. The results showed poor sleep quality in shift work nurses, possibly due to the lack of sport and shift work habits.

scholarly journals IMPROVING SLEEP USING MENTORED BEHAVIORAL AND ENVIRONMENTAL RESTRUCTURING (SLUMBER)

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S509-S509
Author(s):  
Joshua Chodosh ◽  
Diana Hernandez ◽  
Michael Mitchell ◽  
Mary Cadogan ◽  
Abraham A Brody ◽  
...  
Keyword(s):  
Sleep Disturbances ◽  
Functional Disability ◽  
Light Exposure ◽  
Text Messages ◽  
Poor Sleep ◽  
Mentoring Program ◽  
Nursing Facilities ◽  
Post Intervention ◽  
Skilled Nursing ◽  
Nighttime Sleep

Abstract Sleep disturbances are common in skilled nursing facilities (SNF) affecting up to 70% of residents. Poor sleep is linked to depressed mood, cognitive impairment, increased pain, and functional disability. SNF residents depend on staff for basic day-to-day needs making it essential that staff be empowered in sleep improvement efforts. In SLUMBER, we are using a multi-site stepped-wedge design to implement a program for SNF staff to improve common sleep-disruptive factors. This three-month program includes four in-person staff meetings and three didactic webinars covering three content areas: 1) improving the nighttime sleep environment, 2) increasing daytime activities, light exposure, reducing daytime sleeping, and 3) helping individual residents having difficulty with sleep. In addition to mentoring staff on sleep improvement strategies, technology provides feedback on noise levels from decibel meters throughout the unit and weekly “sleep pearls” text messages sent to staff to reinforce teachings. We measured noise readings (in decibels) in one second increments. For sleeping hours, 10pm to 6am, we calculated the percentage of observations exceeding 60 decibels. Post intervention in the first of six study units, 78% of noise readings exceeded 60db during sleeping hours compared to three months later where 50.3% of noise readings exceeded 60db, suggesting benefits of noise-reduction efforts. SNF staff reported several instances of improving sleep among chronically poor sleepers and an improved work environment. This mentoring program can achieve important environmental improvements with perceived benefit to residents and staff. Whether this leads to objective symptom and physiological improvements awaits conclusion of this four-year trial.

scholarly journals Shining the Light on the MotionWatch8 Light Sensor for Sleep and Aging Research: What Can We Measure and What Are We Missing?

2021 ◽  
Vol 5 (1) ◽  
pp. 55-63
Author(s):  
Ryan S. Falck ◽  
Rachel A. Crockett ◽  
Jennifer C. Davis ◽  
Karim M. Khan ◽  
Teresa Liu-Ambrose
Keyword(s):  
Light Exposure ◽  
Bright Light ◽  
Light Therapy ◽  
Poor Sleep ◽  
Bright Light Therapy ◽  
Field Methods ◽  
Aging Research ◽  
Cut Points ◽  
Light Sensor ◽  
Receiver Operator Characteristics

Background: Poor sleep is common among older adults at risk for dementia and may be due to circadian dysregulation. Light is the most important external stimulus to the circadian clock and bright light therapy (BLT) has been used for >20 years to help realign circadian rhythms. However, the ability of field methods (e.g., actigraphy) to accurately determine the type and intensity of light is unknown. Objective: We examined the ability of the MotionWatch8 (MW8) light sensor to determine: 1) light versus dark, 2) electrical light versus daylight, and 3) device-based BLT versus light which was not BLT. Methods: We tested the MW8 under 17 daily light scenarios. Light exposure data was collected for 5 minutes during each scenario. Concurrently, we measured light exposure using the LT40 Light Meter, a sensitive measure of light intensity. We then developed individual cut-points using receiver operator characteristics analyses to determine optimal MW8 cut-points for 1) light versus dark; 2) electrical light versus daylight; and 3) light from a BLT box versus light which was not BLT. Bland-Altman plots tested the precision of the MW8 compared to the LT40. Results: The MW8 accurately discriminated light versus dark (>32 lux), and electrical light versus daylight (<323 lux). However, the MW8 had poor accuracy for 1) discriminating BLT from light which was not BLT; and 2) low precision compared to the LT40. Conclusion: The MW8 appears to be able to discern light versus dark and electrical light versus daylight; however, there remains a need for accurate field methods capable of measuring light exposure.

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