Comparison of Sleep Duration, Social Jetlag, and Subjective Sleep Disturbance in Rotating Shift Nurses According to the Chronotype

Abstract Introduction Extended, overseas operations (deployments) increase the likelihood that military personnel will experience psychological distress. Reduced sleep during deployments is a key correlate of psychological distress. Thus, it is imperative to identify mechanisms that adaptively modulate the relationship between insufficient sleep and psychological distress. Research has recently connected basic personality traits (i.e., the Big Five: extraversion, agreeableness, conscientiousness, neuroticism, and openness) to more sleep. The current project aimed to examine the relationship between basic personality traits, subjective sleep duration (SSD), and psychological distress during an operational deployment. Methods 488 soldiers took surveys both prior to and half-way through a nine-month deployment. The pre-deployment survey included the Big Five Index, and three standardized measures of psychological distress commonly used to screen military personnel for anxiety (Generalized Anxiety Disorder; GAD-7), depression (Patient Health Questionnaire; PHQ-8), and post-traumatic stress (Posttraumatic Symptom Disorder Checklist; PCL-4). The mid-deployment survey included an item from the Pittsburgh Sleep Quality Index measuring SSD and the same psychological distress measures from the pre-deployment survey. General linear models were used to test the interaction between SSD and each basic personality trait on each measure of psychological distress at mid-deployment while accounting for psychological distress at pre-deployment. Results Of the Big Five, conscientiousness was the only trait to significantly moderate the relationship between SSD and anxiety, t = 2.11, p = .035, where higher conscientiousness weakened the relationship. Further only agreeableness attenuated the relationship between depression and SSD, t = 2.10, p = .036. Interestingly, the only Big Five trait that moderated the relationship between SSD and PTS was openness, insomuch that openness strengthened the relationship, t = -1.92, p = .055. Conclusion The relationship between SSD and psychological distress was uniquely impacted by different personality traits. These results reinforce the age-old concept that behavior is the product of a complex, nuanced, and puzzling interaction between the individual and the environment. The current research motivates further research into personality as an adaptive mechanism for optimizing military wellbeing. Support (if any) Support for this study came from the Military Operational Medicine Research Program (MOMRP) of the United States Army Medical Research and Development Command (USAMRDC).

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O003 The impact of wind farm noise in a laboratory setting on objective and subjective sleep efficiency

SLEEP Advances ◽

10.1093/sleepadvances/zpab014.002 ◽

2021 ◽

Vol 2 (Supplement_1) ◽

pp. A1-A2

Author(s):

T Liebich ◽

L Lack ◽

G Micic ◽

K Hansen ◽

B Zajamsek ◽

...

Keyword(s):

Sleep Disturbance ◽

Wind Farm ◽

Mixed Model ◽

Linear Mixed Model ◽

Sleep Efficiency ◽

Self Report ◽

Sleep Diary ◽

Noise Condition ◽

Subjective Sleep ◽

The Impact

Abstract Introduction Well-controlled studies of wind farm noise (WFN) on sleep are lacking despite complaints and known effects of other noise types on sleep. This laboratory-based study investigated the impact of continuous full-night WFN exposure replicated from field recordings on polysomnography-measured (objective) and sleep diary-determined (subjective) sleep efficiency compared to a quiet control night. Methods Based on residential location and self-report data, 50 participants were categorised into three groups (14 living <10km from a wind farm and self-reporting sleep disturbance; 19 living <10km from a wind farm and self-reporting no sleep disturbance and 18 controls living in a quiet rural area). Participants underwent full in-laboratory polysomnography during exposure to continuous WFN (25 dB(A)) throughout the night and a quiet control night (background noise 19 dB(A)) in random order. Group and noise condition effects were examined via linear mixed model analysis. Results Participants (30 females) were aged (mean±SD) 54.9±17.6 range: 18–80 years. Sleep efficiency in the control condition was (median [interquartile range]) objective: 85.5 [77.4 to 91.2]%; subjective: 85.7 [69.2 to 92.7]%) versus the WFN condition (objective: 86.1 [78.6 to 91.7]% subjective: 85.8 [66.2 to 93.8]%) with no significant main or interaction effects of group or noise condition (all p’s >0.05). Conclusion These results do not support that WFN at 25 dB(A) significantly impacts objective or subjective sleep efficiency in participants with or without prior WFN exposure or self-reported WFN-related sleep disturbance. Further analyses to investigate potential sleep micro-structural changes remain warranted.

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Evaluation of Subjective Sleep Disturbances in Cancer Patients: A Cross-Sectional Study in a Radiotherapy Department

Frontiers in Psychiatry ◽

10.3389/fpsyt.2021.648896 ◽

2021 ◽

Vol 12 ◽

Author(s):

Jun Wang ◽

Bei-Yun Zhou ◽

Chen-Lu Lian ◽

Ping Zhou ◽

Hui-Juan Lin ◽

...

Keyword(s):

Logistic Regression ◽

Sleep Quality ◽

Sleep Disturbance ◽

Sleep Disorders ◽

Cancer Patients ◽

Sleep Disturbances ◽

Cancer Type ◽

Multivariate Logistic Regression ◽

Subjective Sleep ◽

Radiotherapy Department

Background: The factors associated with sleep disturbances in cancer patients remains unclear. This study aimed to explore the prevalence of sleep disorders and predictors associated with sleep disturbance in cancer patients from a radiotherapy department.Methods: Patients with cancers were recruited before the start of radiotherapy from our institution between January 2019 and February 2020. Pittsburgh Sleep Quality Index (PSQI) scale was used to assess sleep quality. Descriptive statistics, Chi-square test, and multivariate logistic regression analysis were used to conduct statistical analysis.Results: A total of 330 eligible patients were included. Of them, 38.3% (n = 127) had the globe PSQI score >7, indicating that they suffered from sleep disorders. Patients with lung cancer (45.2%) were more likely to suffer from sleep disturbance, followed by cervical cancer (43.8%), nasopharyngeal carcinoma (41.7%), esophageal cancer (41.5%), breast cancer (37.7%), and colorectal cancer (30%). With regard to the PSQI components, the mean sleep duration was 8 h, 20.3% (n = 67) of them reported poor subjective sleep quality, 6.1% (n = 20) needed medication to improve sleep, and 53.6% (n = 177) suffered daytime dysfunction. Multivariate logistic regression models showed body mass index (BMI) ≥ 20 kg/m2 [odds ratio (OR) 0.599, 95% confidence interval (CI) 0.329–0.948, P = 0.031] and the receipt of surgery (OR 0.507, 95% CI 0.258–0.996, P = 0.048) were the significant favorable predictors for sleep disturbance, while age, gender, marital status, education level, comorbidity, metastasis status, diagnostic status, and cancer type were not significantly associated with sleep disturbance.Conclusions: Approximately 40% of the cancer patients suffer from sleep disturbance before the start of radiotherapy. Patients with BMI ≥ 20 kg/m2 and receiving surgery are less likely to develop sleep disturbance in comparison with others.

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Effects of Pregabalin on Subjective Sleep Disturbance Symptoms during Withdrawal from Long-Term Benzodiazepine Use

European Addiction Research ◽

10.1159/000324850 ◽

2011 ◽

Vol 17 (5) ◽

pp. 262-270 ◽

Cited By ~ 8

Author(s):

Gabriel Rubio ◽

Julio Bobes ◽

Gaspar Cervera ◽

Antonio Terán ◽

María Pérez ◽

...

Keyword(s):

Sleep Disturbance ◽

Subjective Sleep ◽

Benzodiazepine Use

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Sleep Duration, Subjective Sleep Need, and Sleep Habits of 40- to 45-Year-Olds in the Hordaland Health Study

SLEEP ◽

10.1093/sleep/28.10.1260 ◽

2005 ◽

Vol 28 (10) ◽

pp. 1260-1269 ◽

Cited By ~ 88

Author(s):

Reidun Ursin ◽

Bjørn Bjorvatn ◽

Fred Holsten

Keyword(s):

Sleep Duration ◽

Health Study ◽

Sleep Habits ◽

Subjective Sleep

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Abstract P335: Associations of Sleep Duration and Sleep Quality With Physical Performance in Older Adults --The Chicago Healthy Aging Study (CHAS)

Circulation ◽

10.1161/circ.137.suppl_1.p335 ◽

2018 ◽

Vol 137 (suppl_1) ◽

Author(s):

ThanhHuyen T Vu ◽

Kathryn J Reid ◽

Martha L Daviglus ◽

Daniel B Garside ◽

Kiang Liu ◽

...

Keyword(s):

Sleep Disturbance ◽

Sleep Duration ◽

Physical Performance ◽

Gait Speed ◽

Healthy Aging ◽

Handgrip Strength ◽

Short Sleep Duration ◽

Aging Study ◽

Normal Sleep ◽

And Performance

Background: Sleep duration (too short or too long) is associated with lower physical performance. However, the association of sleep duration and physical performance, taking into account the quality of sleep (e.g., sleep disturbance) in older populations, has not been thoroughly investigated. Methods: Using data from the Chicago Healthy Aging study conducted in 2007-10, we investigated a cross-sectional association of a combination of sleep duration and sleep disturbance with muscle strength (hand grip), and performance [4m gait speed and Short Physical Performance Battery (SPPB)]. The Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep duration [categorized as short (≤ 6 hours), normal (7-8 hours), and long (≥ 9 hours)] and sleep disturbance (defined as either cannot fall asleep within 30 minutes or waking up in the middle of the night or early morning three or more times per week). (See Table and Table Footnote for definitions of sleep duration and disturbance, and physical performance categories). Multivariable logistic regression analysis was used. Results: The study sample consists of 952 men and 350 women, ages 65-84 (mean age 71) in 2007-10; 9% were African American.12.6 % had SPPB score ≤ 8, 6.8 % had gait speed on 4 meter course < 0.8 m/s, and 23.4 % had low sex-BMI specific handgrip strength. As compared to the group with normal sleep duration (7-8 hours) without sleep disturbance, adjusted odds (95% confidence interval) of low gait speed <0.8 m/s in those with short sleep duration (≤ 6 hours) and sleep disturbance was much higher [2.00 (1.06-3.75)]. Similarly, the odds of low sex-BMI specific handgrip strength was about 2 times higher in those with long duration of sleep (≥ 9 hours), compared to those with normal sleep duration without sleep disturbance. No association was found for Short Physical Performance Battery (see Table). Conclusion: In older age, short sleep duration with poor quality as well as excessive sleep duration were associated with the greater likelihood of having low muscle strength and performance.

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Sleep health and diabetes: The role of sleep duration, subjective sleep, sleep disorders, and circadian rhythms on diabetes

Sleep and Health ◽

10.1016/b978-0-12-815373-4.00017-4 ◽

2019 ◽

pp. 213-225

Author(s):

Azizi A. Seixas ◽

Rebecca Robbins ◽

Alicia Chung ◽

Collin Popp ◽

Tiffany Donley ◽

...

Keyword(s):

Circadian Rhythms ◽

Sleep Disorders ◽

Sleep Duration ◽

Sleep Health ◽

Subjective Sleep

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0785 Associations Between Circadian Preference And Sleep-related Thoughts: Data From The 2015 Sleep In America Poll

SLEEP ◽

10.1093/sleep/zsaa056.781 ◽

2020 ◽

Vol 43 (Supplement_1) ◽

pp. A298-A299

Author(s):

B Jeon ◽

F S Luyster ◽

E R Chasens

Keyword(s):

Sleep Disturbance ◽

Sleep Duration ◽

Sleep Disturbances ◽

Secondary Analysis ◽

Logistic Models ◽

Poor Sleep ◽

Sleep Habits ◽

Circadian Preference ◽

Physical Consequences ◽

The Impact

Abstract Introduction Evening types of sleep tend to have poorer sleep quality and sleep habits than morning types. Maladaptive beliefs or thoughts about sleep can affect one’s sleep and may differ between evening and morning types. We examined the association between the circadian preference and sleep-related thoughts in U.S adults. Methods A secondary analysis used survey data from the 2015 National Sleep Foundation’s Sleep in America Poll. Questions included normal bedtime and wake-up time for week/work days and weekend/non-work days. Circadian preference was determined by midpoint of sleep calculated as midpoint of sleep on weekends corrected for average nightly sleep duration. Participants were excluded if their sleep midpoint was from noon to midnight. Midpoint of sleep was divided into two groups using median split (“earlier” vs. “later”). Sleep-related thoughts were “worry about getting a good sleep”, “overwhelming thoughts about getting enough sleep”, “motivation to get sleep”, and “concern about serious physical consequences due to poor sleep”; responded often/always or extremely to somewhat for these items were coded as maladaptive. Logistic regression analysis controlling for socio-demographics, sleep duration, and sleep disturbance (PROMIS Scale; higher scores = greater sleep disturbance) was conducted to examine the relationships between midpoint of sleep and sleep-related thoughts. Results The sample (N = 1011) was primarily White (73.6%), male (50.9%), college educated (62.2%), married/partnered (67.6%) with a mean age of 51.65 ± 17.05 years. Mean midpoint of sleep in “earlier” type was 2:33AM and 5:29AM in “later” type. “Later” type had shorter sleep duration on weekdays and longer sleep duration on weekends than “earlier” type (p < .01), but average sleep duration was similar between two types. “Later” type had more “worry” and “overwhelming thoughts” (p < .05) about sleep. In logistic models, midpoint of sleep was significant only for “concern” (p = .02). Conclusion In this study, late chronotype was associated with increased sleep disturbances and greater variability in sleep duration. The relationship between the timing of sleep and thoughts about the impact of impaired sleep remains unclear and an area for further study with objective measures. Support

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