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

SLEEP ◽  
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

scholarly journals The Impact of Sleep Timing, Sleep Duration, and Sleep Quality on Depressive Symptoms and Suicidal Ideation amongst Japanese Freshmen: The EQUSITE Study

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Atin Supartini ◽  
Takanori Honda ◽  
Nadzirah A. Basri ◽  
Yuka Haeuchi ◽  
Sanmei Chen ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Suicidal Ideation ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Sleep Onset ◽  
Poor Sleep ◽  
Sleep Onset Latency ◽  
Onset Latency ◽  
Poor Sleep Quality ◽  
The Impact

Aim. The aim of this study was to identify the impact of bedtime, wake time, sleep duration, sleep-onset latency, and sleep quality on depressive symptoms and suicidal ideation amongst Japanese freshmen.Methods. This cross-sectional data was derived from the baseline survey of the Enhancement of Q-University Students Intelligence (EQUSITE) study conducted from May to June, 2010. A total of 2,631 participants were recruited and completed the following self-reported questionnaires: the Pittsburgh Sleep Quality Index (PSQI), the Center for Epidemiologic Studies Depression Scale (CES-D), and the original Health Support Questionnaires developed by the EQUSITE study research team.Results. Of 1,992 participants eligible for analysis, 25.5% (n=507) reported depressive symptoms (CES-D total score ≥ 16), and 5.8% (n=115) reported suicidal ideation. The present study showed that late bedtime (later than 01:30), sleep-onset latency (≥30 minutes), and poor sleep quality showed a marginally significant association with depressive symptoms. Poor sleep quality was seen to predict suicidal ideation even after adjusting for depressive symptoms.Conclusion. The current study has important implications for the role of bedtime in the prevention of depressive symptoms. Improving sleep quality may prevent the development of depressive symptoms and reduce the likelihood of suicidal ideation.

scholarly journals 1142 Comprehensive Phenotyping Of Ambulatory Sleep Patterns In Multiple Sclerosis

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A435-A435
Author(s):  
T J Braley ◽  
A L Kratz ◽  
D Whibley ◽  
C Goldstein
Keyword(s):  
Multiple Sclerosis ◽  
Sleep Quality ◽  
Extreme Values ◽  
Sleep Onset ◽  
External Support ◽  
Poor Sleep ◽  
Sleep Patterns ◽  
Poor Sleep Quality ◽  
Historical Cohort ◽  
The Impact

Abstract Introduction The majority of sleep research in persons with multiple sclerosis (PwMS) has been siloed, restricted to evaluation of one or a few sleep measures in isolation. To fully characterize the impact of sleep disturbances in MS, multifaceted phenotyping of sleep is required. The objective of this study was to more comprehensively quantify sleep in PwMS, using a recently developed multi-domain framework of duration, continuity, regularity, sleepiness/alertness, and quality. Methods Data were derived from a parent study that examined associations between actigraphy and polysomnography-based measures of sleep and cognitive function in MS. Actigraphy was recorded in n=55 PwMS for 7-12 days (Actiwatch2®, Philips Respironics). Sleep metrics included: duration=mean total sleep time (TST, minutes); continuity=mean wake time after sleep onset (minutes), and regularity=stddev wake-up time (hours). ‘Extreme’ values for continuity/regularity were defined as the most extreme third of the distributions. ‘Extreme’ TST values were defined as the lowest or highest sixth of the distributions. Sleepiness (Epworth Sleepiness Scale score) and sleep quality [Pittsburgh Sleep Quality Index (PSQI) sleep quality item] were dichotomized by accepted cutoffs (>10 and >1, respectively). Results Sleep was recorded for a mean of 8.2 days (stddev=0.95). Median (1st, 3rd quartile) values were as follows: duration 459.79 (430.75, 490.60), continuity 37.00 (23.44, 52.57), regularity 1.02 (0.75, 1.32), sleepiness/alertness 8 (4, 12), and sleep quality 1.00 (1.00, 2.00). Extreme values based on data distributions were: short sleep <=426.25 minutes (18%), long sleep >515.5 minutes (16%), poor sleep continuity ≥45 minutes (33%), and poor sleep regularity ≥1.17 hours (33%). Sleepiness and poor sleep quality were present in 36% and 40% respectively. For comparison, in a historical cohort of non-MS patients, the extreme third of sleep regularity was a stddev of 0.75 hours, 13% had ESS of >10, and 16% had poor sleep quality. Conclusion In this study of ambulatory sleep patterns in PwMS, we found greater irregularity of sleep-wake timing, and higher prevalence of sleepiness and poor sleep quality than published normative data. Efforts should be made to include these measures in the assessment of sleep-related contributions to MS outcomes. Support The authors received no external support for this work.

Abstract 037: History Of Weight Cycling Is Prospectively Associated With Shorter And Poorer Quality Sleep, And Higher Sleep Apnea Risk In Diverse Us Women: Results From The AHA Go Red For Women Strategically Focused Research Network

Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Vivian Cao ◽  
Nour Makarem ◽  
Moorea Maguire ◽  
Ivan Samayoa ◽  
Huaqing Xi ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Onset ◽  
Research Network ◽  
Poor Sleep ◽  
Sleep Onset Latency ◽  
Weight Cycling ◽  
Onset Latency ◽  
Cross Sectional ◽  
History Of ◽  
Insomnia Severity

Introduction: Poor sleep and history of weight cycling (HWC) are associated with worse cardiovascular health, yet limited research has evaluated the association between HWC and poor sleep patterns. Hypothesis: We hypothesized that HWC would be associated with poor sleep in US women. Methods: The AHA Go Red for Women Strategically Focused Research Network cohort at Columbia University (n=506, mean age 37 ± 15.7y, 61% racial/ethnic minority) was used to evaluate cross-sectional associations of HWC and sleep characteristics at baseline, and prospective associations of HWC from baseline with sleep measures at 1-yr. HWC, defined as losing and gaining ≥ 10 lbs at least once (excluding pregnancy), and number of WC episodes were self-reported. Sleep duration, measures of sleep quality, insomnia severity, and obstructive sleep apnea (OSA) risk were assessed using the validated Pittsburgh Sleep Quality Index, Insomnia Severity Index, and Berlin questionnaire. Linear and logistic regression models, adjusted for age, race/ethnicity, education, health insurance status, pregnancy history, and menopausal status, were used to evaluate the relation of HWC with sleep. Results: Most women reported ≥1episode of weight cycling (72%). In linear models of cross-sectional and prospective data, each additional weight cycling episode was related to shorter sleep duration, poorer sleep quality, longer sleep onset latency, greater insomnia severity, more sleep disturbances and daytime dysfunction, lower sleep efficiency, and higher sleep medication use frequency. In logistic models, HWC (≥1 vs. 0 episodes) was associated with greater odds for short sleep, poor sleep quality, long sleep onset latency ≥26 min, high OSA risk, and sleep efficiency<85% ( Table ). Conclusion: HWC predicted poor sleep among women, suggesting that weight maintenance may represent an important strategy to promote sleep health. Long-term studies are needed to disentangle the complex relations between weight fluctuations and sleep across the life course.

scholarly journals POOR SLEEP QUALITY IS RELATED TO DECREASED WHITE MATTER INTEGRITY IN BRAIN NOCICEPTIVE PATHWAYS IN OLDER ADULTS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S367-S368
Author(s):  
Anna R Egbert ◽  
Ryan S Falck ◽  
John R Best ◽  
Linda Li ◽  
Lynne Feehan ◽  
...  
Keyword(s):  
Older Adults ◽  
White Matter ◽  
Sleep Quality ◽  
Sleep Efficiency ◽  
Sensor Data ◽  
White Matter Integrity ◽  
Poor Sleep ◽  
Accelerometer Data ◽  
Poor Sleep Quality ◽  
Brain White Matter

Abstract Poor sleep quality, decreased physical activity (PA) and increased sedentary behavior (SB) are common characteristics of older adults. Notably, these factors play an important role in brain health. We examined the relationship between sleep quality, PA, SB and brain white matter integrity (WM) in older adults with osteoarthritis (OA). We retained data on 16 participants (mean age 60, SD=7.7) from a larger Monitor-OA cohort recruited from Metro Vancouver, BC, Canada. Sleep efficiency and duration, amount of time spent on PA and SB daily over a period of one week was acquired with an objective measure – the multi-sensor monitor SenseWear Mini which integrates tri-axial accelerometer data, physiological sensor data and personal demographic information. Brain WM tractography was calculated from fractional anisotropy data obtained with diffusion weighted magnetic resonance imaging. Voxelwise group-level statistics examined the effects of our variables of interest on the integrity of brain WM tracts while controlling for participants age. We found that lower sleep efficiency was related to decreased integrity in WM tracts of frontal, temporal lobes, precuneus and thalamus (Bonferroni corrected p&lt;0.05). Shorter sleep was related to lower WM integrity in frontal regions, posterior cingulate and insula radiations (Bonferroni corrected p&lt;0.05). No significant effects were noted for PA or SB. The identified brain regions are involved in sleep processes but further overlap with the nociceptive brain network. Our findings suggest that neural mechanisms related to sleep disturbance may also involve pain-related processing in older adults.

scholarly journals 0065 Initial Findings on Associations Between Sleep and Clinical Measures with Neural Activations Accompanying Fear Conditioning and Extinction in Trauma-Exposed Individuals

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A26-A27
Author(s):  
J Seo ◽  
K I Oliver ◽  
C Daffre ◽  
E F Pace-Schott
Keyword(s):  
Sleep Quality ◽  
Fear Conditioning ◽  
Sleep Onset ◽  
Anterior Cingulate ◽  
Salience Network ◽  
Poor Sleep ◽  
Sleep Onset Latency ◽  
Post Traumatic Stress ◽  
Selective Activation ◽  
Extinction Learning

Abstract Introduction We examined associations of sleep and hyperarousal with neural responses to a fear conditioning and extinction protocol in trauma-exposed individuals. We hypothesized, greater hyperarousal, poorer sleep quality and more nightmares would accompany greater activation of the salience network (associated with fear) and lesser activation of the prefrontal cortex (PFC; associated with fear regulation) throughout this protocol. Methods Persons exposed to trauma within the past 2 years (N=119, 43 with Post-traumatic stress disorder; PTSD) completed the PTSD Checklist-5 (PCL-5), two weeks of actigraphy and sleep/nightmare diaries, and a 2-day fear-conditioning and extinction protocol during fMRI. Hyperarousal items from PCL-5, sleep quality, and nightmare frequency were used to predict fMRI contrasts representing (1) initial activations to reinforced conditioned stimuli (CS+) during fear conditioning, (2) change in neural activation to CS+s across extinction learning, and, (3) after 24 hours (extinction recall), selective activation to an extinguished (CS+E) versus an un-extinguished CS+. Results During fear conditioning, hyperarousal was positively correlated with activation to the CS+ in the right lateral PFC, whereas nightmare frequency was negatively correlated with activations in bilateral orbitofrontal cortex (OFC). Across extinction learning, sleep onset latency (SOL) was negatively correlated with increased activation to CS+ in bilateral insular and dorsal and middle anterior cingulate cortices (salience regions). At extinction recall, nightmare frequency was negatively correlated with selective activation to the CS+E in the left insular cortex. Conclusion Except that fewer nightmares predicted greater OFC activation during fear conditioning, results did not support hypothesized relationships of hyperarousal, poor sleep and nightmares with increased salience network and decreased PFC activation to fear-related stimuli. Support Funding: R01MH109638

scholarly journals The prospective association of objectively measured sleep and cerebral white matter microstructure in middle-aged and older persons

SLEEP ◽  
2019 ◽  
Author(s):  
Desana Kocevska ◽  
Henning Tiemeier ◽  
Thom S Lysen ◽  
Marius de Groot ◽  
Ryan L Muetzel ◽  
...  
Keyword(s):  
White Matter ◽  
Corpus Callosum ◽  
Older Persons ◽  
Sleep Onset ◽  
Cerebral White Matter ◽  
Poor Sleep ◽  
Sleep Onset Latency ◽  
Middle Aged ◽  
Microstructural Alterations ◽  
White Matter Microstructure

AbstractStudy ObjectivesPoor sleep may destabilize axonal integrity and deteriorate cerebral white matter. In middle-aged and older adults sleep problems increase alongside structural brain changes, but the temporal relation between these processes is poorly understood. We studied longitudinal associations between sleep and cerebral white matter microstructure.MethodsOne thousand one persons (59.3 ± 7.9 years, 55% women) were followed across 5.8 years (3.9–10.8). Total sleep time (TST, hours), sleep efficiency (SE, percentage), sleep onset latency (SOL, minutes), and wake after sleep onset (WASO, minutes) were measured at baseline using a wrist-worn actigraph. White matter microstructure (global and tract-specific fractional anisotropy [FA] and mean diffusivity [MD]) was measured twice with diffusion tensor imaging (DTI).ResultsPoor sleep was associated with worse white matter microstructure up to 7 years later but did not predict trajectories of DTI over time. Longer TST was associated with higher global FA (β = 0.06, 95% CI: 0.01 to 0.12), but not with MD. Persons with higher SE had higher global FA (β = 0.01, 95% CI: 0.002 to 0.01) and lower MD (β = −0.01, 95% CI: −0.01 to −0.0004). Consistently, those with more WASO had lower global FA (β = −0.003, 95% CI: −0.005 to −0.001) and higher MD (β = 0.002, 95% CI: 0.0004 to 0.004). Global findings seemed to be driven by microstructural alterations in the cingulum, anterior forceps of corpus callosum, projection and association tracts.ConclusionsMiddle-aged and older persons with more WASO, lower SE and shorter TST have worse microstructure of cerebral white matter. Microstructural alterations are most pronounced projection and association tracts, in the cingulum, and in the anterior forceps of corpus callosum.

Abstract P334: The Effects of Inadequate Sleep on Blood Pressure and Endothelial Inflammation in Women: Findings From the American Heart Association Go Red for Women Strategically Focused Research Network

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Brooke Aggarwal ◽  
Nour Makarem ◽  
Riddhi Shah ◽  
Memet Emin ◽  
Ying Wei ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Sleep Onset ◽  
Research Network ◽  
Poor Sleep ◽  
Sleep Patterns ◽  
Poor Sleep Quality ◽  
Basic Study ◽  
Endothelial Inflammation

Background: Insufficient sleep impairs blood pressure regulation. However, the effects of milder, highly prevalent but frequently neglected sleep disturbances, including poor sleep quality and insomnia, on vascular health in women are unclear. We investigated whether poor sleep patterns are associated with blood pressure and endothelial inflammation in a diverse sample of women. Methods: Women who participated in the ongoing AHA Go Red for Women Strategically Focused Research Network population project were studied (n=323, 57% minority, mean age=39 + 17 y, range=20-79 y). Sleep duration, sleep quality, and time to sleep onset were assessed using the Pittsburgh Sleep Quality Index (score > 5=poor sleep quality). Risk for obstructive sleep apnea (OSA) was evaluated using the Berlin questionnaire, and insomnia was assessed using the Insomnia Severity Index (ISI). In a subset of women who participated in the basic study (n=28), sleep duration was assessed objectively using actigraphy and endothelial inflammation was assessed directly in harvested endothelial cells by measuring nuclear translocation of nuclear factor kappa B (NFκB). Vascular reactivity was measured by brachial artery flow-mediated dilation (FMD). Systolic and diastolic blood pressure (SBP and DPB) were measured by trained personnel. Multivariate linear regressions were used to evaluate associations between sleep patterns and blood pressure, NFκB and FMD. Results: Mean sleep duration was 6.8 ± 1.3 h/night in the population study and 7.5 ± 1.1 h/night in the basic study. In the population study sample, 50% had poor sleep quality (25% in the basic study), and 37% had some level of insomnia (15% in the basic study). SBP was associated directly with poor sleep quality, and DBP with OSA risk after adjusting for confounders (p=0.04 and p=0.08, respectively). Poor sleep quality was associated with endothelial NFκB activation (β=30.6; p=0.03). Insomnia and longer time to sleep onset were also associated with endothelial NFκB activation (β=27.6; p=0.002 and β=8.26; p=0.02, respectively). Sleep patterns were not associated with FMD. Conclusions: These findings provide direct evidence that common but frequently neglected sleep disturbances such as poor sleep quality and insomnia are associated with increased blood pressure and vascular inflammation even in the absence of sleep deprivation in women.

scholarly journals What type of mattress should be chosen to avoid back pain and improve sleep quality? Review of the literature

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Gianfilippo Caggiari ◽  
Giuseppe Rocco Talesa ◽  
Giuseppe Toro ◽  
Eugenio Jannelli ◽  
Gaetano Monteleone ◽  
...  
Keyword(s):  
Systematic Review ◽  
Low Back Pain ◽  
Back Pain ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Meta Analysis ◽  
Sleep Onset ◽  
Poor Sleep ◽  
Sleep Onset Latency ◽  
Low Back

AbstractEnergy spent during daily activities is recuperated by humans through sleep, ensuring optimal performance on the following day. Sleep disturbances are common: a meta-analysis on sleep quality showed that 15–30% of adults report sleep disorders, such as sleep onset latency (SOL), insufficient duration of sleep and frequently waking up at night. Low back pain (LBP) has been identified as one of the main causes of poor sleep quality. Literature findings are discordant on the type of mattress that might prevent onset of back pain, resulting in an improved quality of sleep. We conducted a systematic literature review of articles published until 2019, investigating the association of different mattresses with sleep quality and low back pain. Based on examined studies, mattresses were classified according to the European Committee for Standardization (2000) as: soft, medium-firm, extra-firm or mattresses customized for patients affected by supine decubitus. A total of 39 qualified articles have been included in the current systematic review. Results of this systematic review show that a medium-firm mattress promotes comfort, sleep quality and rachis alignment.

scholarly journals Considering Sleep, Mood, and Stress in a Family Context: A Preliminary Study

2019 ◽  
Vol 1 (2) ◽  
pp. 259-272 ◽  
Author(s):  
Valeria Bacaro ◽  
Bernd Feige ◽  
Andrea Ballesio ◽  
Paola De Bartolo ◽  
Anna F. Johann ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Gender Gap ◽  
Negative Mood ◽  
Family Members ◽  
Sleep Onset ◽  
Poor Sleep ◽  
Sleep Onset Latency ◽  
Mothers And Fathers ◽  
Sleep Diaries ◽  
Lack Of Sleep

Background: During the first years of life, parental sleep strongly depends on child’s sleep quality. Poor parental sleep may relate to increased stress and negative mood. However, there is a lack of sleep studies focusing on all family members. This study aimed to investigate the relationship between sleep, mood, and stress in mothers, fathers and children. Methods: Data were obtained from 65 parental couples and 65 children (2 to 36 months). Data on sleep for all family members and stress of parents were completed by both mothers and fathers through questionnaires and sleep diaries. Results: Toddlers’ positive mood before nocturnal sleep was significantly associated with reduced wake times after sleep onset. Mothers reported worse sleep quality compared to fathers. Shorter sleep onset latency in fathers and better sleep efficiency in mothers were linked with better self-reported mood upon awakening. In mothers, but not in fathers, poor sleep quality was associated with higher perceived stress. Conclusion: Results suggest bidirectional relationships between sleep and mood in children, mothers and fathers. Moreover, results evidence poorer sleep in mothers, compared to fathers, which was linked with increased parenting stress. This gender gap should be further considered in studies with larger samples and in clinical contexts.

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

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A71-A71
Author(s):  
S M Riedy ◽  
D Fekedulegn ◽  
B Vila ◽  
M Andrew ◽  
J Violanti
Keyword(s):  
Sleep Quality ◽  
Shift Work ◽  
Police Officers ◽  
Sleep Disturbances ◽  
Sleep Loss ◽  
Work Hours ◽  
Poor Sleep ◽  
Disciplinary Actions ◽  
Poor Sleep Quality ◽  
Long Work Hours

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&lt;0.05) and/or using sleep medications (OR=15.7 [95% CI: 2.8–89.3], p&lt;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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