0179 Poor Sleep Quality Increases Odds of On-Duty Injuries in Policing

Abstract Introduction Shiftwork is inevitable in law enforcement. Officers are scheduled around-the-clock to protect and serve communities. Many police departments are also understaffed; consequentially, officers’ work schedules often include long work hours. Shift work and long work hours can result in sleep loss, poor sleep quality, and fatigue. In turn, these factors can impair police officers’ operational performance. We investigated whether sleep loss and poor sleep quality increase odds of on-duty injuries or disciplinary actions in policing. Methods Officers (n=113) that started their careers as police officers at the Buffalo Police Department between 1994–2001 were studied. Work and injury data were obtained for each officer starting with their hire date and continuing day-by-day for 15-years. Between 2004–2009, officers reported any disciplinary actions in the prior two years and their sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) and Survey Screen for Apnea. Data were analyzed using logistic regression with logit link functions (PROC GLIMMIX, SAS 9.4). Covariates included sex, ethnicity, experience, shift type, workload, and secondary employment. Results Seventy-four percent of officers had poor sleep quality (PSQI global score ≥ 5). Officers with poorer sleep quality had greater odds of injury (OR=1.3 [95% CI: 1.0–1.5], p=0.03). Officers’ sleep duration was not a significant predictor of injuries (OR=1.0 [95% CI: 0.3–3.2], p=0.96). Officers with sleep disturbances (OR=3.5 [95% CI: 1.0–11.8], p<0.05) and/or using sleep medications (OR=15.7 [95% CI: 2.8–89.3], p<0.01) had higher odds of injury. None of the variables were significant predictors of disciplinary actions. Conclusion Poor sleep quality was prevalent among the officers. The natures of the injuries were likely multi-factorial and complex. Notwithstanding, poor sleep quality was associated with higher odds of on-duty injuries. The source of officers’ sleep disturbances (e.g. shift work, insomnia, and/or policing-related stresses) remains to be determined. Support CDC/NIOSH grant 1R01OH009640-01A1; NIJ grant 2005-FS-BX-0004

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Association between depression and sleep quality in patients with systemic lupus erythematosus: a systematic review and meta-analysis

Sleep And Breathing ◽

10.1007/s11325-021-02405-0 ◽

2021 ◽

Author(s):

Rulan Yin ◽

Lin Li ◽

Lan Xu ◽

Wenjie Sui ◽

Mei’e Niu ◽

...

Keyword(s):

Systemic Lupus Erythematosus ◽

Sleep Quality ◽

Lupus Erythematosus ◽

Sleep Disturbances ◽

Cochrane Library ◽

Poor Sleep ◽

Moderate Correlation ◽

Systemic Lupus ◽

Poor Sleep Quality ◽

Subjective Sleep Quality

Abstract Background Currently, there is no consistent understanding of the relationship between depression and sleep quality in patients with systemic lupus erythematosus (SLE). This study aimed to explore the correlation between depression and sleep quality in SLE patients. Methods Five English (PubMed, Web of Science, EMBASE, Cochrane Library, and CINAHL) databases were systematically searched from inception to January 12, 2021. Two authors independently screened publications and extracted data according to set inclusion and exclusion criteria. Statistical analyses were performed with STATA 16.0. Data were pooled using a random-effects model. Results A total of 9 identified studies matched the inclusion criteria, reporting on 514 patients with SLE in the analysis. A moderate correlation of depression with sleep quality was found (pooled r = 0.580 [0.473, 0.670]). Compared to good sleepers, patients with SLE and poor sleep quality had higher levels of depression (standardized mean difference = − 1.28 [− 1.87, − 0.69]). Depression was associated with subjective sleep quality (r = 0.332 [0.009, 0.592]), sleep latency (r = 0.412 [0.101, 0.649]), sleep disturbances (r = 0.405 [0.094, 0.645]), daytime dysfunction (r = 0.503 [0.214, 0.711]), the four dimensions of Pittsburgh Sleep Quality Index (PSQI), while no significant correlation was found in the other three PSQI dimensions. Conclusion Depression had a moderate correlation with sleep quality in patients with SLE. Patients with poor sleep quality tended to have higher level of depression than that of good sleepers. Awareness of the correlation may help rheumatology physicians and nurses to assess and prevent depression and improve sleep quality in patients with SLE.

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778 Poor Sleep Quality is Associated with Reduced Myelination in Patients with Psychotic Disorders

SLEEP ◽

10.1093/sleep/zsab072.775 ◽

2021 ◽

Vol 44 (Supplement_2) ◽

pp. A303-A303

Author(s):

Cagri Yuksel ◽

Xi Chen ◽

Lauren Watford ◽

Margaret Gardner ◽

Kathryn Lewandowski ◽

...

Keyword(s):

White Matter ◽

Sleep Quality ◽

Psychotic Disorders ◽

Sleep Onset ◽

Sleep Loss ◽

Magnetization Transfer Ratio ◽

Poor Sleep ◽

Sleep Onset Latency ◽

Healthy Controls ◽

Poor Sleep Quality

Abstract Introduction Recent studies show that sleep favors oligodendrocyte proliferation and myelination, and sleep loss is associated with alterations in white matter structure and decreased myelination. Psychotic disorders are characterized by disrupted white matter integrity, and abnormal axon and myelin structure. Despite common sleep disturbances in these disorders, little is known about the relationship between sleep quality and white matter findings. A novel in vivo neuroimaging technique that combines diffusion tensor spectroscopy (DTS) and magnetization transfer ratio (MTR) allows separately examining the axon structure and glial function, and myelin content, respectively. Using this method, we examined the association of sleep quality with white matter biology in a sample of patients with psychotic disorders and matched healthy controls. Methods Participants included patients diagnosed with bipolar disorder with psychotic features (euthymic or depressed, n=12) and schizophrenia spectrum disorders (n=9), and age and sex matched healthy controls (n=20). DTS and MTR data was collected from the right prefrontal white matter at 4T. DTS measures included apparent diffusion coefficients of water, NAA, creatine and choline. Sleep quality was measured using Pittsburgh Sleep Quality Index (PSQI). Results PSQI total score was significantly higher in patients. and patient sample included a higher percentage of poor sleepers (PSQI total score>5). In patients, total PSQI score and sleep onset latency were significantly and negatively associated with MTR (F=6.9, p=0.02 and F=9.7, p=0.007, respectively). There was no difference in any DTS measures between groups. Conclusion Our preliminary results show that poor sleep quality is associated with decreased myelin content in the frontal lobe, in patients with psychotic disorders. This finding suggests that sleep loss may be a mediator of white matter alterations in psychosis. Support (if any) This work is supported by National Institute of Mental Health K23MH119322 to Cagri Yuksel

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Serotonin variations and sleep disorders among shift workers. A cross-sectional study

Toxicology and Industrial Health ◽

10.1177/07482337211033135 ◽

2021 ◽

pp. 074823372110331

Author(s):

Rehab Shehata Abdelhady Shehata ◽

Zeinab Ahmed Mohamed Nour ◽

Amul Mohamed Abdelrahim Badr ◽

Eman Mahmoud Khalifa

Keyword(s):

Sleep Quality ◽

Shift Work ◽

Night Shift ◽

Cross Sectional Study ◽

Poor Sleep ◽

Serotonin Level ◽

Poor Sleep Quality ◽

Cross Sectional ◽

Shift Workers ◽

Blood Serotonin

Sleep disorders are prevalent occupational health problems among shift workers, especially healthcare workers with long shifts. Serotonin is a neurotransmitter related to circadian variations accompanied by shift work. A cross-sectional study was performed on 73 nurses at a tertiary hospital in Cairo, Egypt, to assess sleep quality among shift work nurses (SWNs), to determine blood serotonin level, and its relation to shift work and sleep quality. A demographic and occupational history questionnaire, Pittsburgh Sleep Quality Index (PSQI) questionnaire, and measurement of blood serotonin were carried out to the studied group. The data were analyzed using SPSS 25, and descriptive statistics, unpaired t-test, ANOVA, Kruskal–Wallis Test, Chi-square, Spearman correlation, and multivariate regression analysis were utilized. The results showed that the mean PSQI global score was significantly higher among SWNs than non-shift work nurses (NSWNs) and was the highest (10.32 ± 3.56 and 10.22 ± 2.4, respectively) among rotatory and fixed night shift nurses. Blood serotonin showed highly significant differences between SWNs over NSWNs ( p = 0.001), and mostly reduced among rotatory and fixed night shift nurses (66.7% and 65%, respectively). Moreover, there were highly significant differences in serotonin levels between poor and good sleep quality nurses ( p < 0.001), and most of the poor sleep quality nurses (62.7%) had low serotonin levels. Abnormal serotonin level (odds = 246.5) and working years (odds = 1.2) were statistically significant predictors of poor sleep quality. In conclusion, SWNs, especially rotating and night shift nurses, suffer from poor sleep quality associated with abnormal levels of blood serotonin.

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Shift work and overtime across a career in law enforcement: a 15-year study

Policing An International Journal of Police Strategies and Management ◽

10.1108/pijpsm-08-2020-0134 ◽

2021 ◽

Vol 44 (2) ◽

pp. 200-212

Author(s):

Samantha M. Riedy ◽

Desta Fekedulegn ◽

Bryan Vila ◽

Michael Andrew ◽

John M. Violanti

Keyword(s):

New York ◽

Law Enforcement ◽

Shift Work ◽

Police Officers ◽

Night Shift ◽

Police Department ◽

Work Hours ◽

Negative Effects ◽

Content Type ◽

Long Work Hours

PurposeTo characterize changes in work hours across a career in law enforcement.Design/methodology/approachN = 113 police officers enrolled in the BCOPS cohort were studied. The police officers started their careers in law enforcement between 1994 and 2001 at a mid-sized, unionized police department in northwestern New York and continued to work at this police department for at least 15 years. Day-by-day work history records were obtained from the payroll department. Work hours, leave hours and other pay types were summarized for each calendar year across their first 15 years of employment. Linear mixed-effects models with a random intercept over subject were used to determine if there were significant changes in pay types over time.FindingsA total of 1,617 individual-years of data were analyzed. As the police officers gained seniority at the department, they worked fewer hours and fewer night shifts. Total paid hours did not significantly change due to seniority-based increases in vacation time. Night shift work was increasingly in the form of overtime as officers gained seniority. Overtime was more prevalent at the beginning of a career and after a promotion from police officer to detective.Originality/valueShiftwork and long work hours have negative effects on sleep and increase the likelihood of on-duty fatigue and performance impairment. The results suggest that there are different points within a career in law enforcement where issues surrounding shiftwork and long work hours may be more prevalent. This has important implications for predicting fatigue, developing effective countermeasures and measuring fatigue-related costs.

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Perception of Sleep Disturbances due to Bedtime Use of Blue Light-Emitting Devices and Its Impact on Habits and Sleep Quality among Young Medical Students

BioMed Research International ◽

10.1155/2019/7012350 ◽

2019 ◽

Vol 2019 ◽

pp. 1-8

Author(s):

Asmaa Jniene ◽

Leila Errguig ◽

Abdelkader Jalil El Hangouche ◽

Hanan Rkain ◽

Souad Aboudrar ◽

...

Keyword(s):

Medical Students ◽

Sleep Quality ◽

Blue Light ◽

Sleep Disturbances ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Light Emitting ◽

Light Emitting Devices ◽

The Mean ◽

Perception Of Sleep

Introduction. The use of blue light-emitting devices (smartphones, tablets, and laptops) at bedtime has negative effects on sleep due to light stimulation and/or problematic excessive use. We aimed to evaluate, among young medical students, if the perception of sleep disturbances due to bedtime use of these devices is consistent with healthier habits and a better sleep quality. Materials and methods. 294 medical students in medicine and pharmacy from the Faculty of Medicine and Pharmacy of Rabat, Morocco, took part in this anonymous and voluntary cross-sectional study and answered an electronic questionnaire. Student and Mann–Whitney U tests were used to compare variables between 2 groups based on their perception of sleep disturbances. The level of significance was p≤0.05. Results. 286 students (97.3%) used a blue light-emitting smart device at bedtime before sleep, and sleep quality was poor (Pittsburgh Sleep Quality Index, PSQI > 5) in 101 students (35.3%). The perception of sleep disturbances due to this night usage was reported by 188 of them (65.7%). In this group, 154 (81.9%) used their device with all the lights turned off in the room (p=0.02), 34 (18.1%) put devices under pillows (p=0.04), 114 (60.6%) interrupted sleep to check messages (p<0.001), and the mean duration use of these technologies at bedtime was 2 h ± 23 min per night (p=0.02). Also, the mean sleep duration was 6.3 hours ± 1.25 (p=0.04), 119 (63.3%) presented fatigue on waking more than one time per week (p=0.04), and 76 (40.4%) presented poor sleep quality (75.2% of the students with PSQI > 5) (p=0.005). Conclusions. Despite the perception of sleep disturbances due to bedtime use of blue light-emitting devices, unhealthy sleep habits tend to be frequent in young medical students and worrying because it is associated to significant poor sleep quality.

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Poor sleep quality in systemic lupus erythematosus: does it depend on depressive symptoms?

Lupus ◽

10.1177/0961203314540762 ◽

2014 ◽

Vol 23 (13) ◽

pp. 1350-1357 ◽

Cited By ~ 22

Author(s):

L Palagini ◽

C Tani ◽

R M Bruno ◽

A Gemignani ◽

M Mauri ◽

...

Keyword(s):

Systemic Lupus Erythematosus ◽

Depressive Symptoms ◽

Sleep Quality ◽

Lupus Erythematosus ◽

Sleep Disturbances ◽

Control Group ◽

Poor Sleep ◽

Systemic Lupus ◽

Poor Sleep Quality ◽

Obstructive Sleep

Objectives Sleep disturbances are frequently observed in rheumatic diseases including systemic lupus erythematosus (SLE). This study aimed at evaluating the prevalence of insomnia, poor sleep quality and their determinants in a cohort of SLE patients. Methods Eighty-one consecutive SLE female patients were evaluated in a cross-sectional study. The Pittsburgh Sleep Quality Index (PSQI), the Insomnia Severity Index (ISI), the Beck Depression Inventory (BDI) and the Self-rating Anxiety Scale (SAS) were administered. Patients with previous diagnosis of obstructive sleep apnea or restless legs syndrome were excluded. Fifty-three women with hypertension (without SLE) were enrolled as control group (H). Results In the SLE cohort poor sleep quality (65.4% vs 39.6%, p < 0.01) and difficulty in maintaining sleep and/or early morning awakening (65.4% vs 22.6%, p < 0.001), but not insomnia (33.3% vs 22.6%, p = ns), were more prevalent than in H. Depressive symptoms were present in 34.6% of SLE vs 13.2% H patients ( p < 0.001) while state anxiety was more common in H patients (H 35.8% vs SLE 17.3%, p < 0.005). SLE was associated with a 2.5-times higher probability of presenting poor sleep quality in comparison to H (OR 2.5 [CI 1.21–5.16]). After adjusting for confounders, both depressive symptoms (OR 4.4, [1.4–14.3]) and use of immunosuppressive drugs (OR 4.3 [CI 1.3–14.8]) were significantly associated with poor sleep quality in SLE patients. Furthermore, poor sleep quality was not associated either with disease duration or activity. Conclusions In a cohort of SLE women, insomnia and poor sleep quality, especially difficulties in maintaining sleep, were common. Depressive symptoms might be responsible for the higher prevalence of poor sleep quality in SLE.

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Factors associated with poor sleep quality in women with cancer

Revista Latino-Americana de Enfermagem ◽

10.1590/1518-8345.1478.2858 ◽

2017 ◽

Vol 25 (0) ◽

Cited By ~ 4

Author(s):

Thalyta Cristina Mansano-Schlosser ◽

Maria Filomena Ceolim

Keyword(s):

Sleep Quality ◽

Quality Index ◽

Sleep Disturbances ◽

Pittsburgh Sleep Quality Index ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Factors Associated ◽

Scale Data

ABSTRACT Objectives: to analyze the factors associated with poor sleep quality, its characteristics and components in women with breast cancer prior to surgery for removing the tumor and throughout the follow-up. Method: longitudinal study in a teaching hospital, with a sample of 102 women. The following were used: a questionnaire for sociodemographic and clinical characterization, the Pittsburgh Sleep Quality Index; the Beck Depression Inventory; and the Herth Hope Scale. Data collection covered from prior to the surgery for removal of the tumor (T0) to T1, on average 3.2 months; T2, on average 6.1 months; and T3, on average 12.4 months. Descriptive statistics and the Generalized Estimating Equations model were used. Results: depression and pain contributed to the increase in the score of the Pittsburgh Sleep Quality Index, and hope, to the reduction of the score - independently - throughout follow-up. Sleep disturbances were the component with the highest score throughout follow-up. Conclusion: the presence of depression and pain, prior to the surgery, contributed to the increase in the global score of the Pittsburgh Sleep Quality Index, which indicates worse quality of sleep throughout follow-up; greater hope, in its turn, influenced the reduction of the score of the Pittsburgh Sleep Quality Index.

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Sleep disturbances in fibromyalgia syndrome: the role of clinical and polysomnographic variables explaining poor sleep quality in patients

Sleep Medicine ◽

10.1016/j.sleep.2015.03.011 ◽

2015 ◽

Vol 16 (8) ◽

pp. 917-925 ◽

Cited By ~ 23

Author(s):

Carolina Diaz-Piedra ◽

Andres Catena ◽

Ana I. Sánchez ◽

Elena Miró ◽

M. Pilar Martínez ◽

...

Keyword(s):

Sleep Quality ◽

Sleep Disturbances ◽

Fibromyalgia Syndrome ◽

Poor Sleep ◽

Poor Sleep Quality

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Sleep patterns and physical function in older adults attending primary health care

Family Practice ◽

10.1093/fampra/cmaa085 ◽

2020 ◽

Author(s):

Lucía Arias-Fernández ◽

Andrea M Smith-Plaza ◽

María Barrera-Castillo ◽

Jessica Prado-Suárez ◽

Esther Lopez-Garcia ◽

...

Keyword(s):

Older Adults ◽

Health Care ◽

Sleep Quality ◽

Physical Function ◽

Muscle Weakness ◽

Sleep Disturbances ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Physical Frailty ◽

Primary Health

Abstract Background Sleep disturbances may contribute to physical function impairment among older adults. Objective To examine the associations between sleep quality and duration and impaired physical function among older adults. Methods Cross-sectional study involving 392 non-institutionalized adults aged ≥65 years, who were recruited from primary health care centres in Spain. Sleep quality and duration were assessed with the Pittsburgh Sleep Quality Index (PSQI). The FRAIL scale was used to identify physical frailty, the short physical performance battery to assess lower extremity functional impairment (LEFI) and grip strength was measured using a hand-held dynamometer to assess muscle weakness. Statistical analyses were performed with logistic regression models adjusted for potential confounders. Results Participants with poor sleep quality (PSQI global score ≥10) were more likely to have functional limitations; the odds ratio (95% confidence interval) was 2.90 (1.10–7.64) for physical frailty, 2.73 (1.34–5.58) for LEFI and 2.32 (1.14–4.75) for muscle weakness. Sleep quality components associated with frailty were sleep disturbances, use of sleeping medication and daytime dysfunction. The only quality component associated with LEFI was poor sleep efficiency, while subjective poor sleep quality and daytime dysfunction were linked to muscle weakness. No associations were observed between night-time sleep duration and physical function indicators. Conclusions Poor self-reported sleep quality, but not sleep duration, was associated with an increased frequency of physical frailty, LEFI and muscle weakness. Interventions to improve sleep quality could contribute to healthy ageing.

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The relationship between sleep quality, fatigue and psychological wellbeing amongst primary carers for those with brain injury

10.31234/osf.io/wmnc8 ◽

2018 ◽

Author(s):

Maria Gardani

Keyword(s):

Brain Injury ◽

Sleep Quality ◽

Sleep Disturbances ◽

Depression Scale ◽

Psychological Wellbeing ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Perceived Burden ◽

Fatigue Severity ◽

Anxiety Depression

Objectives: The study aimed to investigate possible mediating factors that contribute to poor sleep quality in carers for those with brain injury (BI). More specifically, whether fatigue, anxiety, depression and perceived burden were associated with and/or predicted poor sleep in carers of those with brain injury. Methods: A cross-sectional correlational design was utilised. The Pittsburgh Sleep Quality Index (PSQI), Hospital Anxiety Depression Scale (HADS) Fatigue Severity Scale (FSS), Zarit Buren Interview Short (ZBI-12) were completed by 237 carers of people with BI to assess sleep quality, psychological wellbeing and fatigue. Results: Carers demonstrated elevated levels of poor sleep quality, fatigue and poor psychological wellbeing. The results indicated there was a significant relationship between anxiety, depression, perceived burden, fatigue severity and sleep quality. Multiple regression analysis revealed that anxiety, depression, fatigue and burden explained 31.8% of variance in sleep quality. Depression and fatigue were significant predictors of sleep quality with fatigue symptomology being the strongest predictor of poor sleep amongst carers. Conclusion: Psychological wellbeing, perceived burden and fatigue are associated with sleep disturbances in carers with fatigue and depression predicting poor sleep quality. These results provide insight into an under-researched area and emphasise the necessity for support provisions which aim to improve sleep hygiene practices, improve psychological wellbeing and fatigue symptomology.

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