scholarly journals The Development and Application of a Resilience-Promoting Program Using Changes in Sleep-Related Habits in Korean Adolescents

2021 ◽  
Vol 3 (3) ◽  
pp. 112-119
Author(s):  
Hyoseung Kang ◽  
So-Jin Lee ◽  
Bong-Jo Kim ◽  
Cheol-Soon Lee ◽  
Boseok Cha ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Light Exposure ◽  
Sleep Onset ◽  
Depression Scale ◽  
Smart Phone ◽  
Severity Index ◽  
Short Version ◽  
Sleep Habits ◽  
Sleep Habit ◽  
Resilience Scale

Objective: Resilience-promoting program which covers strategies to improve sleep health through modulation of sleep-related habits has been lacking. The authors aimed to develop a resilience-promoting program that incorporates the encouragement of healthy sleep habits. Methods: Fifty-eight adolescents (27 female, 46.6%; aged 13.78±0.82 years) were recruited to test the effectiveness of the program. Dur- ing the first and final sessions, several self-reported questionnaires, including the Connor-Davidson Resilience Scale (CD-RISC), the Smart- phone Addiction Scale–short version (SAS-SV), Hospital Anxiety and Depression Scale (HADS), Composite Scale of Morningness (CSM), In- somnia Severity Index (ISI), and a sleep habit-related questionnaires were administered to the adolescents. After the first session, adolescents were provided with an Actiwatch and were asked to wear the watch to the last session date. Multiple linear regression analyses were used to identify predictors of resilience and sleep quality.Results: The participants’ resilience, morningness, sleep quality, wake after sleep onset (WASO), and wakening frequency during the night changed significantly. Resilience at the last session was related to sleep quality (β=-0.394, p=0.005) at the last session when controlling for age, sex, and morningness. Sleep quality at the last session was related to the mean sun- light exposure time (β=-0.363, p=0.037) at the last session when controlling for age, sex, and WASO during the third week.Conclusion: This study found that four weekly sessions of resilience-promoting program improved resilience, sleep quality including objective actigraphic measures, and morningness. Improved resilience was related to better sleep quality.

142 Prenatal Sleep Quality and Infant Sleep: A Longitudinal Study

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A58-A59
Author(s):  
Rebecca Burdayron ◽  
Marie-Helene Pennestri ◽  
Elizabeth Keys ◽  
Lianne Tomfohr-Madsen ◽  
Gerald Giesbrecht
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
Gestational Age ◽  
Sleep Onset ◽  
Depression Scale ◽  
Future Research ◽  
Poor Sleep ◽  
Infant Sleep ◽  
Maternal Sleep ◽  
Sleep Parameters

Abstract Introduction Poor sleep quality is common during pregnancy and can increase the risk of adverse obstetric and fetal outcomes. Existing research on the association between prenatal sleep and infant sleep is scarce and has focused on other aspects of prenatal sleep such as sleep duration, chronotype, and insomnia symptoms. To our knowledge, no studies have examined the association between prenatal sleep quality and infant sleep outcomes. Thus, this study aimed to investigate whether maternal sleep quality during pregnancy was prospectively associated with infant sleep dimensions, independent of relevant covariates. Methods Participants were a subset of 272 mother-infant dyads enrolled in an ongoing cohort study. Maternal prenatal sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI) in early to mid- (M gestational age = 15.12 ± 3.56 weeks) and late- (M gestational age = 32.44 ± 0.99 weeks) pregnancy. Mothers completed the Brief Infant Sleep Questionnaire (BISQ) at 3, 6, and 12 months postpartum. The following infant sleep parameters were assessed: sleep duration (day, night, 24-hour), number of night awakenings, and wake after sleep onset. Prenatal depressive symptoms were assessed with the Edinburgh Postnatal Depression Scale (EPDS) at both pregnancy time points. Other covariates included maternal age at enrollment, infant age, parity, and co-sleeping status. Results Generalized estimating equations (GEE) models revealed that poorer maternal sleep quality during early-to-mid pregnancy did not significantly predict infant sleep parameters after adjustment for covariates (p > .05). However, in late pregnancy, poorer maternal sleep quality significantly predicted shorter 24-hour sleep duration and longer wake after sleep onset, but not daytime sleep duration, nighttime sleep duration, and number of night awakenings (p < .05). Conclusion Study findings advance our understanding of the prospective link between maternal prenatal sleep quality and infant sleep. Results indicate that maternal sleep quality during late gestation may play a role in the development of infant sleep patterns. These findings have important implications for intervention efforts targeting maternal sleep quality during pregnancy. Future research should use objective measures of sleep, such as actigraphy, to better elucidate the effects of prenatal sleep quality on infant sleep outcomes. Support (if any) The Canadian Institutes of Health Research (CIHR)

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.

Cancer-related insomnia: Evaluation by mobile technology.

2015 ◽  
Vol 33 (29_suppl) ◽  
pp. 107-107
Author(s):  
Brenda O'Connor ◽  
Pauline Ui Dhuibhir ◽  
Declan Walsh
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
Median Duration ◽  
Metastatic Cancer ◽  
Eastern Cooperative Oncology Group ◽  
Sleep Onset ◽  
Severity Index ◽  
Sleep Efficiency ◽  
Subjective Sleep Quality ◽  
Time In Bed

107 Background: Insomnia is difficulty with sleep onset, maintenance, early morning wakening or non-restorative sleep. Cancer prevalence is 30-75%. Daytime consequences include fatigue. It is under-reported and impairs quality of life. Measurement previously required sleep laboratories. Technology advances help real-time measurement in the natural environment. This study investigated the feasibility and acceptability of a wireless device to evaluate sleep in cancer. Methods: Prospective observational study: Stage A: 10 consecutive in-patient hospice admissions; Stage B: 20 consecutive community patients Sleep quality was rated by Insomnia Severity Index (ISI). Participants used a wireless non-contact bedside monitor (SleepMinder) for 3 nights. Acceptability questionnaires were completed by participant and nurse (Stage A) or family (Stage B).Descriptive statistics were generated by Microsoft Excel. Results: 30 participants with metastatic cancer were recruited. Median age: 63 years (47-84). Median Eastern Cooperative Oncology Group (ECOG) performance score: 2 (0-3). In-patient (n=10): In 50%, sleep onset was delayed >30 minutes. Median duration: 8 hours. Median awakenings per night: 1 (0-8). Median sleep efficiency (proportion of time in bed spent asleep): 89% (74-100%). ISI score correlated with sleep duration in 70%. Participants and nurses reported 100% device acceptability. Community (n=20): Sleep onset was delayed >30 minutes in 25%. Median duration: 8 hours. Median awakenings per night: 3 (0-10). Median sleep efficiency: 91% (46-100). ISI score correlated with sleep duration in 90%. Participants and family reported 100% device acceptability. Conclusions: (1)A wireless monitor effectively measures sleep in cancer in both inpatient and community settings, (2) High acceptability supports clinical use, (3) Subjective sleep quality reports correlate with device, and (4) Further research: evaluate sleep improvement interventions with device.

scholarly journals Sleep Habit/Sleepiness Questionnaires: A Useful Tool to Identify Correlation Between Sleep, Academic Performance and Obesity Promotion in Improving Health

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1170-1170
Author(s):  
Pratibha Gupta ◽  
Matt Collins
Keyword(s):  
College Students ◽  
Sleep Quality ◽  
Quality Index ◽  
Sleep Disturbances ◽  
Pittsburgh Sleep Quality Index ◽  
Lower Grade ◽  
Sleep Habits ◽  
Short Sleep Duration ◽  
Grade Point ◽  
Sleep Habit

Abstract Objectives Identify, compare sleep habit questionnaires for use in a study of college student's body compositions, and academic performances. Methods Decades of research supports the importance of proper sleep habits for college students for optimum academic performances and maintaining a healthy lifestyle. Instrument that can identify students who experience sleep disturbances and who do not get enough sleep is important in preventing obesity in college students during their college experience and afterwords. Some surveys were created for the clinical setting to determine if further diagnostics testing is necessary, while others were designed for use in academic research to be used individually, combined into composite measure of sleep or as covariates. Available instruments measure many different variables from day time sleepiness to chronotype and jet-lag. No single survey stands out as an all -encompassing sleep different aspect of sleep. No cross comparison of instruments measuring the same variable is therefore possible. Sleep survey is considered ensuring that the chosen survey was designed to measure the variables of interest. Following scales were used in the study: Standford Sleepiness Scale, Epworth Sleepiness Scale, Pittsburgh Sleep Quality Index, Horne-Ostberg Moringness Eveningness Questionnaire, Munich Chronotype Questionnaire. Results Students not meeting public health recommendations for sleep quality and quantity were found to have a significantly lower grade point average and individuals with sleep disturbances and short sleep duration have a significantly higher incidence of obesity. Conclusions Each instrument was created to measure a specific but different aspect of sleep. When conducting research with these tools, another questionnaire may be necessary to provide data specifically about the the subject's sleep habits. The Pittsburgh Sleep quality index has seen through use both clinically and in research. However, it requires another questionnaires to provide data on other variables. Each questionnaire effectively measures the concept it was designed to measure. Therefore, the choice of appropriate instrument should be based on the question, “which survey measures the variable that I wish to measure?”, not which survey is the best? Funding Sources NIMHD BRIC Grant 2009–2013 Central State University.

scholarly journals Chronotype-Dependent Changes in Sleep Habits Associated with Dim Light Melatonin Onset in the Antarctic Summer

2019 ◽  
Vol 1 (3) ◽  
pp. 352-366 ◽  
Author(s):  
Ana Silva ◽  
Diego Simón ◽  
Bruno Pannunzio ◽  
Cecilia Casaravilla ◽  
Álvaro Díaz ◽  
...  
Keyword(s):  
Light Exposure ◽  
Time Windows ◽  
Sleep Onset ◽  
Onset Time ◽  
Sleep Habits ◽  
Subtle Difference ◽  
Dim Light Melatonin Onset ◽  
Dim Light ◽  
The Antarctic ◽  
The Impact

Dim light melatonin onset (DLMO) is the most reliable measure of human central circadian timing. Its modulation by light exposure and chronotype has been scarcely approached. We evaluated the impact of light changes on the interaction between melatonin, sleep, and chronotype in university students (n = 12) between the Antarctic summer (10 days) and the autumn equinox in Montevideo, Uruguay (10 days). Circadian preferences were tested by validated questionnaires. A Morningness–Eveningness Questionnaire average value (47 ± 8.01) was used to separate late and early participants. Daylight exposure (measured by actimetry) was significantly higher in Antarctica versus Montevideo in both sensitive time windows (the morning phase-advancing and the evening phase-delaying). Melatonin was measured in hourly saliva samples (18–24 h) collected in dim light conditions (<30 lx) during the last night of each study period. Early and late participants were exposed to similar amounts of light in both sites and time windows, but only early participants were significantly more exposed during the late evening in Antarctica. Late participants advanced their DLMO with no changes in sleep onset time in Antarctica, while early participants delayed their DLMO and sleep onset time. This different susceptibility to respond to light may be explained by a subtle difference in evening light exposure between chronotypes.

scholarly journals Age and gender differences in objective sleep properties using large-scale body acceleration data in a Japanese population

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Li Li ◽  
Toru Nakamura ◽  
Junichiro Hayano ◽  
Yoshiharu Yamamoto
Keyword(s):  
Sleep Quality ◽  
Large Scale ◽  
Sleep Onset ◽  
The Elderly ◽  
Sleep Habits ◽  
Age And Gender ◽  
Body Acceleration ◽  
Wake Time ◽  
Time In Bed ◽  
And Gender

AbstractUsing large-scale objective sleep data derived from body acceleration signals of 68,604 Japanese residents ranging from adolescents to the elderly (10–89 years old), we found significant age- and gender-related differences in sleep properties (timing, duration, and quality) in real-life settings. Time-in-bed and total sleep time (TST) showed a U-shaped association with age, indicating their decrease in adulthood following their increase in the elderly. There was a remarkable shift in sleep phase toward earlier bedtime and earlier wake time with increasing age (> 20 years), together with worsening of sleep quality, which is estimated by sleep efficiency (SE) and wake time after sleep onset. Gender comparisons showed that TST was shorter in women than in similarly aged men, which is much evident after the age of 30 years. This was associated with later bedtimes and greater age-related deterioration of sleep quality in women. Compared to men in the same age group, women over age 50 demonstrated a greater reduction in SE with aging, due mainly to increasing durations of nighttime awakening. These differences can be attributed to several intricately intertwined causes, including biological aging as well as socio-cultural and socio-familial factors in Japan. In conclusion, our findings provide valuable insights on the characteristics of Japanese sleep habits.

scholarly journals Deterioration in Sleep Quality Affects Cognitive Depression in Prostate Cancer Patients

2021 ◽  
Vol 15 (2) ◽  
pp. 155798832110012
Author(s):  
Christopher F. Sharpley ◽  
David R. H. Christie ◽  
Vicki Bitsika
Keyword(s):  
Prostate Cancer ◽  
Sleep Quality ◽  
Treatment Options ◽  
Depression Scale ◽  
Severity Index ◽  
Sleep Difficulty ◽  
Specific Symptom ◽  
Falling Asleep ◽  
Index Comparison ◽  
Sleep Difficulties

Men who suffer from prostate cancer (PCa) need to make important decisions regarding their treatment options. There is some evidence that these men may suffer from sleep difficulties due to their cancer or its diagnosis and treatment. Although sleep difficulties have been associated with cognitive depression in other samples of men, they have not been examined in PCa patients, despite the importance of decision-making for these men. This study was designed to investigate the association between sleep difficulties and cognitive depression in PCa patients. A sample of 96 PCa patients completed a background questionnaire, the Zung Self-Rating Depression Scale, and the Insomnia Severity Index. Comparison was made between sleep difficulty scores from before the patients received their diagnosis of PCa to the time of survey, allowing use of a “retrospective pretest” methodology. Just over 61% of the sample reported a deterioration in sleep quality, and this was significantly associated with cognitive depression ( r = .346, p = .007). At the specific symptom level, having a clear mind significantly contributed to the variance in difficulty falling asleep (R2 change = .140, F for change = 9.298, p = .003). Sleeping difficulties, particularly falling asleep, are common and associated with depression-related to ability to think clearly in PCa patients. This has potentially adverse effects upon the ability of men with PCa to understand their treatment options and make decisions about them.

scholarly journals Greatest changes in objective sleep architecture during COVID-19 lockdown in night-owls with increased REM sleep

SLEEP ◽  
2021 ◽  
Author(s):  
Jean-Louis Pépin ◽  
Sébastien Bailly ◽  
Ernest Mordret ◽  
Jonathan Gaucher ◽  
Renaud Tamisier ◽  
...  
Keyword(s):  
Rem Sleep ◽  
Sleep Onset ◽  
Eating Behaviour ◽  
Depression Scale ◽  
Severity Index ◽  
Smartphone Application ◽  
Sleep Time ◽  
Sleep Architecture ◽  
Physiological Data ◽  
Sleep Stages

Abstract Study Objectives The Covid-19 pandemic has had dramatic effects on society and people’s daily habits. In this observational study we recorded objective data on sleep macro- and microarchitecture repeatedly over several nights before and during the Covid-19 government-imposed lockdown. The main objective was to evaluate changes in patterns of sleep duration and architecture during home confinement using the pre-confinement period as a control. Methods Participants were regular users of a sleep-monitoring headband that records, stores, and automatically analyses physiological data in real time, equivalent to polysomnography. We measured: sleep onset duration (SOD), total sleep time (TST), duration of sleep stages (N2, N3 and REM), and sleep continuity. Via the user’s smartphone application participants filled-in questionnaires on how lockdown changed working hours, eating behaviour, and daily-life at home. They also filled-in the Insomnia Severity Index, reduced Morningness-Eveningness Questionnaire and Hospital Anxiety and Depression Scale questionnaires allowing us to create selected sub-groups. Results The 599 participants were mainly men (71%) of median age 47 [IQR: 36;59]. Compared to before lockdown, during lockdown individuals slept more overall (mean +3·83 min; SD: ±1.3), had less deep sleep (N3), more light sleep (N2) and longer REM sleep (mean +3·74 min; SD: ±0.8). They exhibited less week-end specific changes, suggesting less sleep restriction during the week. Changes were most pronounced in individuals reporting eveningness preferences, suggesting relative sleep deprivation in this population and exacerbated sensitivity to societal changes. Conclusions This unique dataset should help us understand the effects of lockdown on sleep architecture and on our health.

scholarly journals Suan Zao Ren Tangin Combination withZhi Zi Chi Tangas a Treatment Protocol for Insomniacs with Anxiety: A Randomized Parallel-Controlled Trial

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Lin-lin Hu ◽  
Xin Zhang ◽  
Wen-juan Liu ◽  
Mei Li ◽  
Yong-hua Zhang
Keyword(s):  
Treatment Group ◽  
Sleep Quality ◽  
Pittsburgh Sleep Quality Index ◽  
Therapeutic Option ◽  
Controlled Trial ◽  
Sleep Onset ◽  
Treatment Protocol ◽  
Severity Index ◽  
Improve Sleep Quality ◽  
Insomnia Severity

Insomnia is a serious worldwide health problem that is often comorbid with anxiety. The purpose of the present study was to evaluate the efficacy of a Chinese formula containingSuan Zao Ren Tang(SZRT) andZhi Zi Chi Tang(ZZCT; SZR-ZZC) for improving sleep quality and anxiety states with four indices of Polysomnography (PSG), the Insomnia Severity Index (ISI), the Pittsburgh Sleep Quality Index (PSQI), and the Self Rating Anxiety Scale (SAS).Methods.A randomized, parallel-controlled trial compared SZR-ZZC to lorazepam tablet in insomniacs with anxiety. Patients were randomized to the SZR-ZZC treatment group (n=60) and the lorazepam tablet treatment group (n=59).Results. SZR-ZZC significantly improved scores on all four treatment indices. Compared with lorazepam, treatment with SZR-ZZC resulted in a significant reduction in the ISI (P=0.029), the PSQI (P=0.017), and wake after sleep onset (WASO;P=0.008) scores and improved sleep architecture (P=0.000–0.003) after a 4-week treatment period. Only one subject in the SZR-ZZC group experienced adverse side effects.Conclusion. Treatment with SZR-ZZC for 4 weeks appears to be a relatively safe and effective complementary therapeutic option when aiming to improve sleep quality and anxiety in insomniacs with anxiety.

scholarly journals Smartphone addiction is associated with symptoms of anxiety, depression, stress, tension, confusion, and insomnia: A cross-sectional and comparative study with physically and non-physically active adults in self-isolation during the COVID-19 pandemic

Salud Mental ◽  
2021 ◽  
Vol 44 (4) ◽  
pp. 193-200
Author(s):  
Luiz José Frota Solon Júnior ◽  
Carlos Henrique Tomaz Ribeiro ◽  
Leonardo de Sousa Fortes ◽  
Bruno Teixeira Barbosa ◽  
Luiz Vieira da Silva Neto
Keyword(s):  
Sleep Quality ◽  
Online Survey ◽  
Short Form ◽  
Severity Index ◽  
Cross Sectional Study ◽  
Smartphone Addiction ◽  
Short Version ◽  
Cross Sectional ◽  
Physically Active ◽  
Mood Scale

Introduction. During the novel coronavirus disease (COVID-19) outbreak, social media exposure and the use of electronic devices have increased; still, these behaviors may cause adverse health effects. Objective. This study assessed sleep quality, insomnia, mood, and psychological aspects among physically (n = 46) and non-physically (n = 53) active individuals during self-isolation throughout the COVID-19 pandemic and examined their association with smartphone addiction. Method. A cross-sectional study was conducted among adult Brazilian citizens in self-isolation for at least 60 days; ninety-nine volunteers from different Brazilian regions were enrolled in the online survey. The Depression, Anxiety and Stress Scale-Short Form, the Pittsburgh Sleep Quality Index, the Insomnia Severity Index, the Brunel Mood Scale, and the Smartphone Addiction Scale-Short Version were used to assess the study outcomes. Results. The results indicate moderate and large correlations of smartphone addiction with mood subscales, insomnia (r = .52), anxiety (r = .49), depression (r = .49), and stress (r = .49) symptoms. Also, it was observed that physically active participants were less addicted to smartphones than the non-physically active during self-isolation (p

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