Sleep and Psychological Abuse Among Cohabiting Couples: A Pilot Study

Partner Abuse ◽  
2017 ◽  
Vol 8 (4) ◽  
pp. 347-360
Author(s):  
Sharon Rose ◽  
Linda Berg-Cross ◽  
Nancy A. Crowell
Keyword(s):  
Sleep Quality ◽  
Relationship Satisfaction ◽  
Sleep Deprivation ◽  
Daytime Sleepiness ◽  
Psychological Abuse ◽  
Total Sleep Time ◽  
Sleep Time ◽  
Cohabiting Couples ◽  
Survey Results ◽  
The Relationship

This study explored the relationship between psychological abuse and sleep deprivation among nonclinical cohabiting couples. Thirty-one couples participated in completing a variety of sleep measures, a psychological abuse scale, and a relationship satisfaction survey. Results indicated a persistent relationship between everyday sleep deficits (sleep quality, daytime sleepiness, and self-reported total sleep time) and the perceived perpetration and felt victimization of psychological abuse. Overall, results were as hypothesized, but there were gender differences. Male psychological abuse victimization and perpetration were significantly related to sleep quality and daytime sleepiness, but for women, only sleep duration was predictive of felt victimization. The sleep variables were significantly related to women’s—but not men’s—reported relationship satisfaction. Overall, minimal sleep deprivation appears to be related to increased psychological abuse perpetration and victimization even among a normative population scoring outside the clinical range on these measures. Implications for prevention and treatment are discussed.

scholarly journals 1092 Attention-deficit/hyperactivity Disorder Symptoms And Sleep Characteristics Within A Seasonal Affective Disorder Spectrum

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A415-A416
Author(s):  
K N Kim ◽  
D L Wescott ◽  
P L Franzen ◽  
B P Hasler ◽  
K A Roecklein
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
Adhd Symptom ◽  
Symptom Severity ◽  
Daytime Sleepiness ◽  
Total Sleep Time ◽  
Sleep Time ◽  
Sleep Onset Latency ◽  
Adhd Symptoms ◽  
Depression Severity

Abstract Introduction Seasonal affective disorder (SAD) increases risk for attention-deficit/hyperactivity disorder (ADHD), although the mechanism linking SAD and ADHD is unknown. Prior research has identified insomnia and delayed sleep phase in both ADHD and SAD. We hypothesized that sleep duration and timing in SAD would be associated with the severity of ADHD symptoms. Methods Adults with SAD (n = 45) and subsyndromal SAD (S-SAD; n = 18) aged 19-66 years from Pittsburgh, PA., were assessed for ADHD symptoms, self-report sleep quality, depression severity, and daytime sleepiness in the Winter. Participants wore an Actiwatch for 4-14 days, from which we calculated sleep-onset latency, total sleep time, sleep midpoint, and sleep efficiency. We conducted a hierarchical multivariate linear regression to determine if sleep characteristics predict ADHD symptom severity in our sample while controlling for depressive symptoms. Age and gender were added in Step 1, seasonal depression severity in Step 2, actigraphy-based total sleep time, sleep onset latency, midpoint, and efficiency in Step 3, and self-reported sleep quality and daytime sleepiness in Step 4. Results Participants mostly scored in the “likely” or “highly likely” ADHD range (87.30%, n=55), higher than the national prevalence rate (4.4%). When controlling for age, gender, and depression severity, only shorter actigraphy-based total sleep time was associated with higher ADHD symptom severity (β=-0.30, p<0.05). However, when self-reported sleep quality and daytime sleepiness were added as predictors, total sleep time was no longer a statistically-significant predictor of ADHD symptom severity and only daytime sleepiness predicted ADHD symptom severity (β=0.31, p<0.05). Conclusion Our results suggest that individuals with SAD who experience daytime sleepiness and/or possibly shorter actigraphy-based sleep duration experience higher ADHD symptom severity. Treatments like Trans-C or CBT-I to improve daytime sleepiness and sleep duration may be indicated for SAD patients who present with comorbid ADHD symptoms. Support NIMH K.A.R. MH103303

Testing the contiguity of the sleep and fatigue relationship: a daily diary study

SLEEP ◽  
2020 ◽  
Author(s):  
Andrea L Harris ◽  
Nicole E Carmona ◽  
Taryn G Moss ◽  
Colleen E Carney
Keyword(s):  
Sleep Quality ◽  
Hierarchical Linear Modeling ◽  
Total Sleep Time ◽  
Sleep Time ◽  
Cognitive Factors ◽  
Sleep Diary ◽  
Poor Sleep ◽  
Daily Diary Study ◽  
Insomnia Disorder ◽  
The Relationship

Abstract Study Objectives There is mixed evidence for the relationship between poor sleep and daytime fatigue, and some have suggested that fatigue is simply caused by lack of sleep. Although retrospective measures of insomnia and fatigue tend to correlate, other studies fail to demonstrate a link between objectively disturbed sleep and fatigue. The current study prospectively explored the relationship between sleep and fatigue among those with and without insomnia disorder. Methods Participants meeting Research Diagnostic Criteria for insomnia disorder (n = 33) or normal sleepers (n = 32) completed the Consensus Sleep Diary (CSD) and daily fatigue ratings for 2 weeks. Baseline questionnaires evaluated cognitive factors including unhelpful beliefs about sleep and rumination about fatigue. Hierarchical linear modeling tested the within- and between-participant relationships between sleep quality, total sleep time, and daily fatigue ratings. Mediation analyses tested if cognitive factors mediated the relationship between insomnia and fatigue. Results Self-reported nightly sleep quality significantly predicted subsequent daily fatigue ratings. Total sleep time was a significant predictor of fatigue within, but not between, participants. Unhelpful sleep beliefs and rumination about fatigue mediated the relationship between insomnia and fatigue reporting. Conclusions The results suggest that perception of sleep plays an important role in predicting reports of daytime fatigue. These findings could be used in treatment to help shift the focus away from total sleep times, and instead, focus on challenging maladaptive sleep-related cognitions to change fatigue perception.

scholarly journals Does media use before bedtime affect the sleep of psychosomatic rehabilitation patients?

2020 ◽  
Vol 24 (4) ◽  
pp. 253-258
Author(s):  
Jasmin Faber ◽  
Indra Steinbrecher-Hocke ◽  
Peter Bommersbach ◽  
Angelika A. Schlarb
Keyword(s):  
Sleep Quality ◽  
Media Use ◽  
Total Sleep Time ◽  
Sleep Time ◽  
Sleep Efficiency ◽  
Subjective Sleep Quality ◽  
Psychosomatic Rehabilitation ◽  
Sleep Parameters ◽  
Rehabilitation Clinic ◽  
The Relationship

Abstract Objective Media use can affect sleep. However, research regarding various populations is sparse. The objective of this study was to examine the relationship between media use directly before bedtime and various sleep parameters in patients of a psychosomatic rehabilitation clinic. Methods Patients from a German psychosomatic rehabilitation clinic were tested regarding subjective sleep quality and insomnia symptoms based on questionnaires such as the Pittsburgh Sleep Quality Index (PSQI). Eligible patients also completed an additional sleep log over a period of 1 week. A total of 347 insomnia patients were enrolled, with a mean age of 49.77 years (range 22–64 years; median = 52 years). 57.5% of the patients were 50 years or older. Results Analysis showed that media use and various sleep diary parameters such as total sleep time (r = −0.386, p = 0.042; rTST2 = 0.149) and sleep efficiency (r = −0.507, p = 0.006; rSE2 = 0.257) were significantly associated. In detail, more media consumption was associated with less total sleep time and a lower sleep efficiency. The same result was found for media use and sleep efficiency on weekdays (r = −0.544, p = 0.002; rSE2 = 0.296), but not for other sleep parameters. However, media use time and subjective sleep quality were not significantly correlated, r = −0.055, p = 0.768. Conclusion This study, which is the first to examine the relation between media use and sleep in patients of a psychosomatic rehabilitation clinic, suggests a significant association between media use and sleep duration as well as sleep efficiency. However, more research is needed to investigate the relationship between media use and sleep in more detail, to increase patients’ quality of life and to incorporate these findings into the daily life of clinicians and therapists as well as into sleep hygiene education and sleep trainings.

scholarly journals An investigation of the relationship between sleep and fatigue in those with and without insomnia

2021 ◽  
Author(s):  
Andrea L. Harris
Keyword(s):  
Sleep Quality ◽  
Linear Models ◽  
Total Sleep Time ◽  
Sleep Time ◽  
Sleep Diary ◽  
Poor Sleep ◽  
Sleep Quantity ◽  
Cognitive Behavioural ◽  
Multi Method Approach ◽  
The Relationship

There is currently mixed evidence for the relationship between poor sleep and daytime fatigue. It is well documented that retrospective measures of insomnia and fatigue are highly correlated with one another. However, other studies fail to demonstrate a link between objectively less sleep and fatigue; that is, individuals with shorter sleep times do not necessarily report increased fatigue. As such, the relationship between these two constructs remains unclear. The current investigation will help to elucidate the complex relationship between sleep and fatigue among those with and without insomnia by advancing the existing literature in two important ways. First, this study proposed to examine the temporal relationship between sleep and fatigue across two weeks, thereby investigating whether sleep and fatigue occur in accordance with one anotherover time. Second, this study utilized a multi-method approach by collecting subjective (i.e.,sleep diary) and objective (i.e., actigraphy) measures of sleep, as well as retrospective (i.e.,visual analogue scales: VAS) and prospective (i.e., momentary ratings) measures of fatigue. Two separate hierarchical linear models were used to test whether sleep (measured by sleep quality and total sleep time) predicted daytime fatigue on the VAS and actigraph, respectively. The secondary objective asked whether cognitive-behavioural variables (i.e., maladaptive sleep beliefs, fear and avoidance of fatigue, and fatigue-based rumination) may help account for the relationship between sleep and fatigue using mediation. The results of the primary analyses suggested that sleep quality significantly predicted VAS fatigue ratings, whereas total sleep time was a significant predictor of fatigue within- but not between-persons. No significant relationships were found between objective measures of sleep and momentary fatigue ratings. Finally, each of the cognitive-behavioural variables, with the exception of avoidance of fatigue, were significant mediators of the relationship between sleep and fatigue. The results demonstrated that compared to sleep quantity, our perception of sleep may play a more important role in predicting reports of daytime fatigue. These findings could help decrease the burden that individuals with insomnia place on their total sleep times, and instead, treatment could focus on challenging maladaptive sleep-related cognitions, which ultimately could lessen the overall sleep-related anxiety.

scholarly journals Hospitalized COVID-19 Patients Were Five Times More Likely to Suffer From Total Sleep Deprivation Compared to Non-COVID-19 Patients; an Observational Comparative Study

2021 ◽  
Vol 15 ◽  
Author(s):  
Eva S. van den Ende ◽  
Kim D. I. van Veldhuizen ◽  
Belle Toussaint ◽  
Hanneke Merten ◽  
Peter M. van de Ven ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Comparative Study ◽  
Sleep Deprivation ◽  
Total Sleep Time ◽  
Short Form ◽  
Sleep Time ◽  
Hospital Environment ◽  
Poor Sleep ◽  
Total Sleep Deprivation ◽  
Patient Reported

Objectives: Sleeping disorders are a common complaint in patients who suffer from an acute COVID-19 infection. Nonetheless, little is known about the severity of sleep disturbances in hospitalized COVID-19 patients, and whether these are caused by disease related symptoms, hospitalization, or the SARS-CoV-2 virus itself. Therefore, the aim of this study was to compare the quality and quantity of sleep in hospitalized patients with and without COVID-19, and to determine the main reasons for sleep disruption.Methods: This was an observational comparative study conducted between October 1, 2020 and February 1, 2021 at the pulmonary ward of an academic hospital in the Netherlands. This ward contained both COVID-19-positive and -negative tested patients. The sleep quality was assessed using the PROMIS-Sleep Disturbance Short Form and sleep quantity using the Consensus Sleep Diary. Patient-reported sleep disturbing factors were summarized.Results: A total of 79 COVID-19 patients (mean age 63.0, male 59.5%) and 50 non-COVID-19 patients (mean age 59.5, male 54.0%) participated in this study. A significantly larger proportion of patients with COVID-19 reported not to have slept at all (19% vs. 4% of non-COVID-19 patients, p = 0.011). The Sleep quality (PROMIS total score) and quantity (Total Sleep Time) did not significantly differ between both groups ((median PROMIS total score COVID-19; 26 [IQR 17-35], non-COVID-19; 23 [IQR 18-29], p = 0.104), (Mean Total Sleep Time COVID-19; 5 h 5 min, non-COVID-19 mean; 5 h 32 min, p = 0.405)). The most frequently reported disturbing factors by COVID-19 patients were; ‘dyspnea’, ‘concerns about the disease’, ‘anxiety’ and ‘noises of other patients, medical staff and medical devices’.Conclusion: This study showed that both patients with and without an acute COVID-19 infection experienced poor quality and quantity of sleep at the hospital. Although the mean scores did not significantly differ between groups, total sleep deprivation was reported five times more often by COVID-19 patients. With one in five COVID-19 patients reporting a complete absence of night sleep, poor sleep seems to be a serious problem. Sleep improving interventions should focus on physical and psychological comfort and noise reduction in the hospital environment.

scholarly journals 673 Did the COVID-19 pandemic increase insomnia?

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A263-A263
Author(s):  
Neil Stanley ◽  
Alison Gardiner ◽  
Nicola Sunter
Keyword(s):  
Sleep Quality ◽  
Daytime Sleepiness ◽  
Total Sleep Time ◽  
Sleep Time ◽  
Economic Consequences ◽  
Age Related ◽  
Significant Difference ◽  
The Difference ◽  
The Uk ◽  
The Impact

Abstract Introduction COVID-19 has been an unprecedented health event with far-reaching health and economic consequences. There have been numerous surveys published that have suggested that insomnia has increased during the pandemic. However, there have been no comparisons of data from the pandemic with that from other years. Here we present baseline data from people signing up to an online CBTi course to investigate the impact of COVID-19 on sleep. Methods We investigated the difference in age; diary-reported Sleep Efficiency (SE%) and Total Sleep Time (TST); sleep quality and disturbances as measured by the Pittsburgh Sleep Quality Index (PSQI) and daytime sleepiness using the Epworth Sleepiness Scale (ESS); between the first wave of COVID-19 in the UK (1st March -31st July 2020) as compared to the same period in 2019. Results In 2019 n=2231 patients were assessed as compared to n=6173 in 2020. There were no significant differences in the age of the two cohorts (47.1 years v 46.3 years, NS). SE% was significantly lower in the 2019 cohort (66% v 67.6, p <0.001) as was their total sleep time (5.71 hrs v 6.05 hrs, p<0.0001). PSQI scores were also higher in 2019 (13.13 v 12.72. p<0.0001). The level of daytime sleepiness was lower in the 2019 cohort (5.4 v 5.6 p <0.001) Conclusion Our results show that there was no evidence of an increase in the severity of sleep disturbance during the 1st wave of the COVID-19 pandemic in the UK in contrast to what numerous surveys have suggested. Indeed, we found that people signing up to Sleepstation’s online dCBTi course during the 1st wave of the pandemic had statistically significant better subjective sleep, although they had a higher level of daytime sleepiness than those in the same period a year previously. Although statistically significant, our results do not demonstrate a clinically relevant difference between the two cohorts. It is also interesting that despite the age-related impact of COVID-19, there was no significant difference in the age of the patients. Thus, in contrast to the survey data, we found no evidence for a worsening of sleep during the 1st wave of the pandemic. Support (if any):

scholarly journals Relationship Between Sleep and Function in Older Adults With Mild Cognitive Impairment

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 619-619
Author(s):  
Miranda McPhillips ◽  
Junxin Li ◽  
Darina Petrovsky ◽  
Nancy Hodgson
Keyword(s):  
Older Adults ◽  
Cognitive Impairment ◽  
Sleep Quality ◽  
Physical Function ◽  
Daytime Sleepiness ◽  
Total Sleep Time ◽  
Social Activity ◽  
Sleep Onset ◽  
Sleep Time ◽  
And Function

Abstract Our objective was to examine relationships between sleep characteristics and function in community-dwelling older adults with cognitive impairment. Sleep measures included actigraphy (total sleep time, wake after sleep onset, efficiency, awakenings), Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale. Promis Physical Function Short Form and Promis Item Bank Social were used to measure physical function and social activity. We used Spearman’s correlation and multivariate linear regression. In bivariate analyses, physical function was significantly related to daytime sleepiness, wake after sleep onset and awakenings; social activity was significantly related to sleep quality, daytime sleepiness, total sleep time, wake after sleep onset and number of awakenings. Controlling for cognition and age, sleep quality was independently associated with physical function (β= -0.80; p= 0.002). Relationships between sleep and social activity did not remain significant in multivariate analyses. Preliminary results suggest subjective sleep quality is most related to physical function.

scholarly journals An investigation of the relationship between sleep and fatigue in those with and without insomnia

2021 ◽  
Author(s):  
Andrea L. Harris
Keyword(s):  
Sleep Quality ◽  
Linear Models ◽  
Total Sleep Time ◽  
Sleep Time ◽  
Sleep Diary ◽  
Poor Sleep ◽  
Sleep Quantity ◽  
Cognitive Behavioural ◽  
Multi Method Approach ◽  
The Relationship

There is currently mixed evidence for the relationship between poor sleep and daytime fatigue. It is well documented that retrospective measures of insomnia and fatigue are highly correlated with one another. However, other studies fail to demonstrate a link between objectively less sleep and fatigue; that is, individuals with shorter sleep times do not necessarily report increased fatigue. As such, the relationship between these two constructs remains unclear. The current investigation will help to elucidate the complex relationship between sleep and fatigue among those with and without insomnia by advancing the existing literature in two important ways. First, this study proposed to examine the temporal relationship between sleep and fatigue across two weeks, thereby investigating whether sleep and fatigue occur in accordance with one anotherover time. Second, this study utilized a multi-method approach by collecting subjective (i.e.,sleep diary) and objective (i.e., actigraphy) measures of sleep, as well as retrospective (i.e.,visual analogue scales: VAS) and prospective (i.e., momentary ratings) measures of fatigue. Two separate hierarchical linear models were used to test whether sleep (measured by sleep quality and total sleep time) predicted daytime fatigue on the VAS and actigraph, respectively. The secondary objective asked whether cognitive-behavioural variables (i.e., maladaptive sleep beliefs, fear and avoidance of fatigue, and fatigue-based rumination) may help account for the relationship between sleep and fatigue using mediation. The results of the primary analyses suggested that sleep quality significantly predicted VAS fatigue ratings, whereas total sleep time was a significant predictor of fatigue within- but not between-persons. No significant relationships were found between objective measures of sleep and momentary fatigue ratings. Finally, each of the cognitive-behavioural variables, with the exception of avoidance of fatigue, were significant mediators of the relationship between sleep and fatigue. The results demonstrated that compared to sleep quantity, our perception of sleep may play a more important role in predicting reports of daytime fatigue. These findings could help decrease the burden that individuals with insomnia place on their total sleep times, and instead, treatment could focus on challenging maladaptive sleep-related cognitions, which ultimately could lessen the overall sleep-related anxiety.

scholarly journals Tasimelteon safely and effectively improves sleep in Smith–Magenis syndrome: a double-blind randomized trial followed by an open-label extension

2021 ◽  
Author(s):  
Christos M. Polymeropoulos ◽  
Justin Brooks ◽  
Emily L. Czeisler ◽  
Michaela A. Fisher ◽  
Mary M. Gibson ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Crossover Study ◽  
Total Sleep Time ◽  
Sleep Time ◽  
Open Label ◽  
Double Blind ◽  
Open Label Study ◽  
Label Study ◽  
Sleep Complaints ◽  
Open Label Extension

Abstract Purpose To assess the efficacy of tasimelteon to improve sleep in Smith–Magenis syndrome (SMS). Methods A 9-week, double-blind, randomized, two-period crossover study was conducted at four US clinical centers. Genetically confirmed patients with SMS, aged 3 to 39, with sleep complaints participated in the study. Patients were assigned to treatment with tasimelteon or placebo in a 4-week crossover study with a 1-week washout between treatments. Eligible patients participated in an open-label study and were followed for >3 months. Results Improvement of sleep quality (DDSQ50) and total sleep time (DDTST50) on the worst 50% of nights were primary endpoints. Secondary measures included actigraphy and behavioral parameters. Over three years, 52 patients were screened, and 25 patients completed the randomized portion of the study. DDSQ50 significantly improved over placebo (0.4, p = 0.0139), and DDTST50 also improved (18.5 minutes, p = 0.0556). Average sleep quality (0.3, p = 0.0155) and actigraphy-based total sleep time (21.1 minutes, p = 0.0134) improved significantly, consistent with the primary outcomes. Patients treated for ≥90 days in the open-label study showed persistent efficacy. Adverse events were similar between placebo and tasimelteon. Conclusion Tasimelteon safely and effectively improved sleep in SMS.

scholarly journals Gender differences in BaYaka forager sleep-wake patterns in forest and village contexts

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Erica Kilius ◽  
David R. Samson ◽  
Sheina Lew-Levy ◽  
Mallika S. Sarma ◽  
Ujas A. Patel ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Total Sleep Time ◽  
Sleep Time ◽  
Small Scale ◽  
Cultural Variation ◽  
Sleep Patterns ◽  
Economic Activities ◽  
Mixed Effect ◽  
Wake Patterns ◽  
The Republic

AbstractSleep studies in small-scale subsistence societies have broadened our understanding of cross-cultural sleep patterns, revealing the flexibility of human sleep. We examined sleep biology among BaYaka foragers from the Republic of Congo who move between environmentally similar but socio-ecologically distinct locations to access seasonal resources. We analyzed the sleep–wake patterns of 51 individuals as they resided in a village location (n = 39) and a forest camp (n = 23) (362 nights total). Overall, BaYaka exhibited high sleep fragmentation (50.5) and short total sleep time (5.94 h), suggestive of segmented sleep patterns. Sleep duration did not differ between locations, although poorer sleep quality was exhibited in the village. Linear mixed effect models demonstrated that women’s sleep differed significantly from men’s in the forest, with longer total sleep time (β ± SE =  − 0.22 ± 0.09, confidence interval (CI) = [− 0.4, − 0.03]), and higher sleep quality (efficiency; β ± SE =  − 0.24 ± 0.09, CI = [− 0.42, − 0.05]). These findings may be due to gender-specific social and economic activities. Circadian rhythms were consistent between locations, with women exhibiting stronger circadian stability. We highlight the importance of considering intra-cultural variation in sleep–wake patterns when taking sleep research into the field.

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