Impact of Shiftwork on Retinal Vasculature Diameters over a 5-Year Period: A Preliminary Investigation Using the BCOPS Study Data.

Our aim was to investigate the impact of shiftwork on changes in central retinal arteriolar equivalent (CRAE), a measure of arteriolar width, and central retinal venular equivalent (CRVE), a measure of venular width, over five years. The participants were 117 officers (72.7% men) examined at the first (2011-2014) and second (2015-2019) follow-up examinations in the Buffalo Cardio-Metabolic Occupational Police Stress study. Shiftwork data were obtained from the City of Buffalo, NY payroll records. Retinal diameters were measured using a standardized protocol. ANCOVA was used to compare mean change in CRAE and CRVE between the two examinations across shiftwork categories. Among men only, those who worked ≥70% hours on day shifts had a larger decrease in mean CRAE (-7.13 µm ± 2.51) compared to those who worked <70% day (-0.08 ± 0.96; p = 0.011). Among patrol officers, those who worked ≥70% day had a larger decrease in CRAE compared to those who worked <70% day (p = 0.015). Also, officers who worked ≥70% day had an increase in mean CRVE (µm) (4.56 ± 2.56) compared to those who worked <70% (-2.32 ± 1.32; p = 0.027). Over the five-year period, we observed adverse changes in arteriolar and venular diameters among officers who worked ≥70% on day shifts. The results should be interpreted with caution due to the small sample sizes.

Association Between the Metabolic Syndrome and Retinal Microvascular Diameters Among Police Officers.

OBJECTIVES: We examined the associations of the metabolic syndrome severity score (MSSS) and the metabolic syndrome (MetSyn) components with central retinal arteriolar equivalent (CRAE) and central retinal venular equivalent (CRVE). METHODS: Participants in this cross-sectional study were 253 officers from the Buffalo Cardio-Metabolic Occupational Police Stress study (2011-2014). The MSSS is a z -score that represents the severity of MetSyn and was estimated using a sex/race-specific equation and the five MetSyn components. Associations of MSSS and the MetSyn with CRAE/CRVE were obtained using linear regression models or analysis of covariance. RESULTS: For every 1-standard deviation of MSSS, CRAE decreased by 2.3 µm (SE = 1.2, P = 0.0262) and CRVE increased by 3.4 µm (SE = 1.6, P = 0.0308) after adjusting for confounders. CONCLUSIONS: Officers with higher MSSS had narrower (ie, worse) arteriolar diameters and wider (ie, worse) venular diameters.

Associations of adverse childhood experiences (ACEs) with sleep duration and quality: the BCOPS study.

BACKGROUND: Adverse Childhood Experiences (ACEs) are associated with numerous adverse health outcomes in adulthood. Our objective was to investigate associations between ACEs and sleep measures among 206 police officers from the Buffalo Cardio-Metabolic Occupational Police Stress study. METHODS: ACEs (independent variable) was assessed using the ACE questionnaire. Sleep measures were assessed using the Pittsburgh Sleep Quality Index and actigraphy. ANOVA/ANCOVA were used to investigate associations between ACEs and sleep measures. RESULTS: The mean self-reported sleep duration was significantly lower among participants who reported ≥1 ACEs compared to those who reported no ACEs (6.0 ± 0.11 vs. 6.4 ± 0.14 h; multivariate-adjusted p = 0.035). Sleep efficiency was significantly lower among participants who reported ≥1 ACEs compared to those who reported none (mean = 88.7%, 95% CI = 87.7-89.6 vs. 90.2%, 89.2-91.2; unadjusted p = 0.031) but was slightly attenuated and lost statistical significance after multivariate-adjustment (88.8%, 87.8-89.7 vs. 90.1%, 88.9-91.1; p = 0.094). Compared to participants who reported no ACEs, those who reported ≥1 ACEs had a higher mean activity index score (36.9 ± 0.96 vs. 31.2 ± 1.25; multivariate-adjusted p = 0.001); a higher mean wake after sleep onset (WASO) (44.3 ± 2.24 vs. 35.3 ± 2.92 min; multivariate-adjusted p = 0.019); and a higher sleep fragmentation index (3.8 ± 1.65 vs. 3.3 ± 1.20 unadjusted p = 0.044 and 3.8 ± 0.13 vs. 3.3 ± 0.18; multivariate-adjusted p = 0.062). Among men (but not women) who reported ≥1 ACEs, self-reported sleep duration was significantly lower (5.9 ± 0.13 vs. 6.4 ± 0.15 h; multivariate-adjusted p = 0.025) and activity index was significantly higher (39.1 ± 1.3 vs. 33.2 ± 1.51; multivariate-adjusted p = 0.004) compared to those who reported no ACEs. CONCLUSION: Exposure to ≥1 ACE was associated with worse sleep measures.

Longitudinal and cross-sectional associations between the dietary inflammatory index and objectively and subjectively measured sleep among police officers.

Police officers experience exposures associated with increased inflammation, such as the stress associated with shiftwork and poor-quality diet, both of which have been shown to affect sleep duration and quality. This study examined the longitudinal and cross-sectional effects of the Energy-density Dietary Inflammatory Index (E-DII™) on objectively and subjectively measured sleep among police officers. Data were derived from the Buffalo Cardio-Metabolic Occupational Police Stress Cohort (n = 464 at baseline), with longitudinal data collected from 2004 to 2019. A food frequency questionnaire obtained estimated dietary intake from which E-DII scores were calculated. Dependent variables were objectively (Micro Motion Logger Sleep Watch™) and subjectively (Pittsburgh Sleep Quality Index) measured sleep quality and quantity. The analyses included a series of linear mixed-effects models used to examine cross-sectional and longitudinal associations between the E-DII and sleep quantity and quality. Cross-sectionally, more pro-inflammatory diets were associated with higher wake-after-sleep-onset but improved subjective sleep quality. In models accounting for both longitudinal and cross-sectional effects, for every 1-unit increase in the E-DII scores over time (representing a pro-inflammatory change), wake-after-sleep-onset increased by nearly 1.4 min (p = 0.07). This result was driven by officers who primarily worked day shifts (ß = 3.33, p = 0.01). Conversely, for every 1-unit increase in E-DII score, the Pittsburgh Sleep Quality Index global score improved. More pro-inflammatory diets were associated with increased wake-after-sleep-onset, an objective measure of sleep quality. Intervention studies to reduce dietary inflammatory potential may provide greater magnitude of effect for changes in sleep quality.

Proportionate mortality and national rate of death from COVID-19 among US law enforcement officers: 2020.

Purpose ­: The goal of the present study is to determine the proportionate mortality and national rate of duty-related deaths from COVID-19 among US law enforcement officers during the year 2020. Design/methodology/approach ­: Data for the current study were obtained from the National Law Enforcement Officer Memorial Fund (NLEOMF) database for the year 2020. The database contains deaths designated as caused by incidents that occurred while in the line of duty. The chi-square test and two-sample t-test were used to compare characteristics of officers who died of COVID-19 versus other causes of death. Both the proportionate mortality and rates of death were calculated. To compute the rate of death, the authors obtained data on the total number of law enforcement officers employed in the United States (and therefore at risk) for the year 2020 from Bureau of Labor Statistics. Findings ­: COVID-19 deaths (n = 182) accounted for 62% of all duty-related law enforcement officer deaths during 2020. The national rate of death due to COVID-19 (12.8/100,000 per year) for law enforcement officers was higher compared to all other causes of death combined (8.0/100,000 per year). Research limitations/implications ­: A limitation of the study is the uncertainty of a definitive assessment that the viral infection was acquired through work (versus at home or other non-work-related community settings). Although highly unlikely, deaths designated as duty related entail financial benefits for the survivors and may be a potential source of bias. Given the complexity of personal exposures, the percentage of COVID-19 deaths attributed to duty may represent an over or under estimation of the actual value. Therefore, the data should be interpreted cautiously. Practical implications ­: These findings provide police organizations with information needed to understand the risk of death among officers during the COVID-19 pandemic and to make informed decisions about future preparedness strategies. Originality/value ­: There are presently no published scientific studies that examine both the proportionate mortality and national rate of death from COVID-19 among law enforcement officers for the year 2020.

Sleep Quality and Dietary Patterns in an Occupational Cohort of Police Officers.

We examined the association between self-reported sleep quality, sleep duration, and dietary patterns among police officers in the Buffalo Cardio-Metabolic Occupational Stress (BCOPS) study.422 police officers aged 21-74 (2004-2009).We used a cross-sectional study design and obtained sleep quality and duration from responses to the 19-item Pittsburgh Sleep Quality Index. Using 46 energy-adjusted food groups derived from a 125-item food frequency questionnaire, we identified dietary patterns using exploratory factor analysis. Multiple linear regression analysis was used to examine the associations of sleep quality and duration with the derived dietary patterns.We identified major dietary patterns: fruits and vegetables (FV), dairy products, starches and fried foods, and meat and eggs. Individuals with poor sleep quality had a lower average FV score than those with optimal sleep (ß [SE] = -0.32 [0.13]; p = .01). Significant interactions were observed between sex and the FV and dairy products dietary patterns, where women with poor sleep quality had a lower mean FV score compared to women with optimal sleep quality (ß [SE] = -0.81 [0.29]; p = .01). Women with < 6 hours sleep duration had a lower mean dairy score compared to women with ≥ 7 hours sleep duration (ß [SE] = -0.69 [0.29]; p = .02). We did not observe these associations among men.Among women, good sleep quality and long sleep duration were associated with a dietary pattern high in consumption of both fruits and vegetables and dairy products.Abbreviations: BCOPS: Buffalo Cardio-Metabolic Occupational Stress study; BMI: body mass index; FFQ: food frequency questionnaire; FV: fruits and vegetables; KMO: Kaiser-Meyer-Olkin test; MET: metabolic equivalent of task score; PSQI: Pittsburgh Sleep Quality Index questionnaire.

Mental Health Treatment Reported by US Workers before and during the COVID-19 Pandemic: United States (2019-2020).

The COVID-19 pandemic introduced a significant and unprecedented exacerbation of community mental health challenges. We compared the prevalence of mental health treatment (MHT) before and during the COVID-19 pandemic among US workers. Self-reported MHT data (N = 30,680) were obtained from the Sample Adult data of the National Health Interview Survey (2019 and 2020). MHT was defined as having taken prescription medications for mental health issues or receiving counseling from a mental health professional in the past 12 months. We calculated age-adjusted prevalence estimates and employed t-tests to compare MHT in 2019 and 2020 using SAS-callable SUDAAN 11.0. The prevalence of MHT significantly increased from 16.3% in 2019 to 17.6% in 2020 (difference = 1.3, p = 0.030). The prevalence of taking prescription medications for mental health issues significantly increased in 2020 compared to 2019 (12.5% to 13.6%, difference = 1.1, p = 0.037). The prevalence of receiving counseling significantly increased but only among those who worked 30-49 h/week, difference = 1.2, p = 0.022. US workers, especially those with typical work hours, appeared to experience higher mental distress during the first year of the pandemic compared to the year prior to the pandemic period. These findings highlight the need for targeted interventions to address mental health issues in these workers.

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

PURPOSE ­: To characterize changes in work hours across a career in law enforcement. DESIGN/METHODOLOGY/APPROACH ­: N = 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. FINDINGS ­: A 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/VALUE ­: Shiftwork 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.

Law enforcement worker suicide: an updated national assessment.

PURPOSE ­: The purpose of this paper is to update the assessment of national data on law enforcement worker suicide based on the National Occupational Mortality Surveillance database (NOMS, Centers for Disease Control and Prevention). DESIGN/METHODOLOGY/APPROACH ­: Death certificate data for 4,441,814 decedents, age 18-90 who died in one of the 26 reporting states were the source of NOMS data. Utilizing proportionate mortality ratios (PMRs), the ratio of suicides in law enforcement occupations in those who are 18-90 years old with a designated usual occupation was calculated. FINDINGS ­: Findings indicate a significantly higher proportion of deaths from suicide for law enforcement officers (PMR = 154, 95% CI = 147-162), compared to all the US decedents in the study population who were employed during their lifetime. Law enforcement personnel are 54% more likely to die of suicide than all decedents with a usual occupation. PMRs were highest for African-Americans, Hispanic males and for females. PMRs were similar for detectives, corrections officers and all law enforcement jobs, when not stratified by race, ethnicity and sex. RESEARCH LIMITATIONS/IMPLICATIONS ­: Bias may arise because a PMR can be affected by disproportionate increased or decreased mortality from causes of death other than suicide. PRACTICAL IMPLICATIONS ­: A better understanding of the scope of law enforcement suicide can inform policy focused on the planning and initiation of prevention programs. ORIGINALITY/VALUE ­: The use of a national database to study law enforcement worker suicide adds to other information available on law enforcement worker suicide in specific geographic areas. The discussion on prevention in this paper presents ideas for policy.

Shift Work Adaptation Among Police Officers: The BCOPS Study.

Few studies have examined shiftwork adaptation among police officers or potential differences in disease biomarkers among adapted and maladapted shiftworkers. This study characterized shiftwork adaptation among 430 police officers from the Buffalo Cardio-Metabolic Occupational Police Stress (BCOPS) study. Police officers working fixed night shifts with symptoms characteristic of adaptation and maladaptation were identified using latent class analysis (n = 242). Two approaches were applied, one with police-specific symptoms and another using more general symptoms as shiftwork adaptation indicators. Biomarkers of inflammation, heart rate variability, and cardiometabolic risk were then compared between shiftwork adaptation groups, and with officers working day shifts, after adjusting for confounding. When analyses included police-specific symptoms, maladapted shiftworkers (n = 73) had more self-reported stress, sleep disturbances, fatigue, and less social support than adapted shiftworkers (n = 169). Using more general symptoms, maladapted officers (n = 56) reported more stress and depression, and less social support than adapted officers (n = 186). In police-specific models, adjusted (least-squares) means (± standard error) of circulating interleukin-6 (IL-6) concentrations in maladapted officers (0.8 ± 0.1 ln[pg/ml]) were modestly elevated relative to adapted shiftworkers (0.7 ± 0.1 ln[pg/ml], p = .09) and relative to permanent day workers (0.5 ± 0.1 ln[pg/ml], p ≤ 0.01), and leptin levels in maladapted officers (9.6 ± 0.1 ln[pg/ml]) exceeded those in the adapted (9.4 ± 0.1 ln[pg/ml], p ≤ 0.01) and day shift groups (9.4 ± 0.1 ln[pg/ml], p = .03). In the general model, adjusted mean tumor necrosis factor-alpha (TNF-α) concentrations among maladapted officers (5.6 ± 0.23 pg/ml) exceeded the adapted (4.8 ± 0.2 pg/ml, p ≤ 0.01) and day workers (5.0 ± 0.2 pg/ml, p = .04), and insulin among maladapted officers was higher (2.4 ± 0.1 ln[uu/ml]) than the adapted group (1.8 ± 0.1 ln[uu/ml], p = .03). No differences were observed for the other biomarkers. The results suggest that maladaptation among police officers working fixed night shifts may lead to increases in leptin, insulin, IL-6, and TNF-α; however, the cross-sectional design and possible residual confounding preclude interpretation of cause and effect. Prospective studies are planned to further characterize the relationship between shiftwork maladaptation and biomarkers of chronic disease risk in this police officer cohort.

An analysis of shiftwork and self-reported depressive symptoms in a police cohort from Buffalo, New York.

Shiftwork has been associated with elevated depressive symptoms; police officers frequently work shifts and may experience depressive symptoms. This study assessed the association between depressive symptoms and shiftwork in a police cohort from Buffalo, New York, USA using a repeated cross-sectional design with data collected in 2004-2009 (n = 428) and 2010-2014 (n = 261). Electronic payroll records were used to quantitatively classify officers on the day, evening, or night shift based on the shift they spent most of their working hours. Two self-reported depressive symptomology measures were used as outcomes - the Center for Epidemiological Studies - Depression (CES-D) scale and the Beck Depression Inventory (BDI). Repeated measures linear and logistic regression analyses were used to estimate least squares means or odds, respectively, of depressive symptom questionnaire scores by shiftwork category. Those working the evening/night shift had higher odds for depressive symptoms according to the BDI (based on a cut-point score of 14) than those working the day shift (OR = 4.60, 95% CI = 1.15-18.39). Similar results were observed for the evening shift group. No differences in mean CES-D or BDI scores were observed between groups for short-term shiftwork, long-term shiftwork, or shift changes. After stratifying by stress, as measured by the Perceived Stress Scale (PSS), total Impact of Events (IES), and the Spielberger Police Stress Survey (SPSS), mean values for depressive symptoms were higher in the high-stress categories regardless of shiftwork status. Further research should include biomarkers for depression, a longitudinal study design with a larger cohort, and joint effects of shiftwork and stress on depressive symptoms.

Adverse childhood experiences and police mental health.

Purpose ­: The purpose of this study is to examine cross-sectional associations between adverse childhood experiences (ACEs) and mental health among police officers. Design/methodology/approach ­: The sample was from the Buffalo Cardio-Metabolic Occupational Police Stress study data (132 male and 51 female officers). Standardized surveys were administered to participants. Regression coefficients were obtained from models adjusted for age, sex, race and alcohol intake. All statistical tests were performed using a statistical significance level at p < 0.05. Findings ­: Regression analyses showed significant positive associations between ACEs and mental health (Posttraumatic Stress Disorder [PTSD]: ß = 1.70, p < 0.001 and depressive symptoms: ß = 1.29, p < 0.001). Resiliency significantly modified the association between ACEs and PTSD. A positive and significant association was observed among officers with lower resiliency (ß = 2.65, p < 0.001). The association between ACEs and PTSD was stronger among male officers compared to females (ß = 2.66, p < 0.001 vs. ß = 0.59, p ≤ 0.248, respectively). Research limitations/implications ­: Child abuse and development of PTSD or depression could not be traced through time as this was a cross-sectional study. Recall bias may affect results. Practical implications ­: PTSD and depression associated with ACEs can affect the interpretation of threat and can exacerbate emotional regulation in officers. An inquiry should be expanded regarding work assignments of victimized officers, such as child exploitation and pornography investigation. Originality/value ­: There are few studies on ACEs and the mental health of police officers. The present study is among the first to associate multiple police mental health issues with ACEs.

Dying for the job: police mortality, 1950-2018.

Purpose ­: This study is a mortality assessment on police officers (68-years, 1950-2018) and includes all causes of death. Design/methodology/approach ­: The authors investigated 1,853 police deaths (1950-2018) using sources of mortality that included the National Death Index, NY State, and available records from the Buffalo NY police department. Standardized Mortality Ratios were calculated. Death codes were obtained from 8th and 9th International Classification of Disease revisions in accordance with the year of death. Findings ­: Compared to the US general population, white male police officers from 1950-2018 had elevated mortality rates for some causes of death, including diseases of the circulatory system, malignant neoplasms, cirrhosis of the liver, and mental disorders. Black and female officers had lower mortality rates for all causes of death compared to the general population. Research limitations/implications ­: The findings of elevated risk for chronic disease among police need to be studied in relation to stress, lifestyle, and exposure to chemical and physical agents. There is a special need to further study officers from minority populations as larger samples become available. Practical implications ­: The results of this study will provide police and occupational health practitioners with objective evidence to determine the health impact of work on law enforcement officers. Originality/value ­: This study is longest running mortality assessment on police officers ever conducted (1950-2018) and includes white, black, and female officers.

Temporal trends in prevalence of cardiovascular disease (CVD) and CVD risk factors among U.S. older workers: NHIS 2004-2018.

PURPOSE: This study examined trends in the prevalence of cardiovascular disease (CVD) and CVD risk factors among U.S. older adults and workers. We also investigated correlations between the temporal prevalence of CVD and selected risk factors (hypertension, obesity, physical inactivity, smoking, and treated diabetes) among participants. METHODS: Data were obtained from the National Health Interview Survey (2004-2018) for U.S. adults aged greater than or equal to 50 years (n = 207,539), of which 84,180 were employed. Temporal trends in prevalence were assessed by fitting weighted regression models to the age-standardized prevalence to the 2010 U.S. POPULATION: The relationship between temporal prevalence of CVD with each risk factor was assessed using Spearman's correlation coefficient. RESULTS: Among all older adults, the prevalence of CVD significantly declined (ß = -0.16, P < .001) during 2004-2018; similar decline was observed among employed adults (ß = -0.16, P = .001). Temporal prevalence in CVD was positively correlated to physical inactivity (r = 0.73, P = .002) and smoking (r = 0.81, P < .001), but not to any of the other risk factors. CONCLUSIONS: Among employed adults aged greater than or equal to 50 years, the prevalence of CVD, physical inactivity, and smoking dramatically declined over the past 15 years. The temporal decline in prevalence of CVD was significantly associated with decline prevalence of physical inactivity and smoking.

Occupational injury and psychological distress among U.S. workers: The National Health Interview Survey, 2004-2016.

INTRODUCTION: Injuries at work may negatively influence mental health due to lost or reduced working hours and financial burden of treatment. Our objective was to investigate, in U.S. workers (a) the prevalence of serious psychological distress (SPD) by injury status (occupational, non-occupational, and no injury) and injury characteristics, and (b) the association between injury status and SPD. METHODS: Self-reported injuries within the previous three months were collected annually for 225,331 U.S. workers in the National Health Interview Survey (2004-2016). Psychological distress during the past 30 days was assessed using the Kessler 6 (K6) questions with Likert-type scale (0-4, total score range: 0-24). SPD was defined as K6 ≥ 13. Prevalence ratios (PR) from fitted logistic regression models were used to assess relationships between injury and SPD after controlling for covariates. RESULTS: The prevalence of SPD was 4.74%, 3.58%, and 1.56% in workers reporting occupational injury (OI), non-occupational injury (NOI), and no injury, respectively. Workers with head and neck injury had the highest prevalence of SPD (Prevalence: OI = 7.71%, NOI = 6.17%), followed by workers with scrape/bruise/burn/bite (6.32% for those with OI). Workers reporting OI were two times more likely to have SPD compared to those without injury (PR = 2.19, 95%CI: 1.62-2.96). However, there was no significant difference in SPD between workers with OI and workers with NOI (PR = 0.98, 95%CI: 0.65-1.48). CONCLUSION: The prevalence of SPD varied by injury status with the highest being among workers reporting OI. We found that the workers reporting OI were significantly more likely to have SPD than those without injury, but not more than those with NOI. Practical Applications: Mental health management programs by employers are necessary for workers who are injured in the workplace.

Associations of Sleep Measures with Retinal Microvascular Diameters among Police Officers.

PURPOSE: We examined cross-sectional associations of sleep measures with central retinal artery equivalent (CRAE) and central retinal vein equivalent (CRVE) and investigated whether sex and race/ethnicity modified these associations. METHODS: Participants (N = 202; 78% white; 71% men) were enrolled in the Buffalo Cardio-metabolic Occupational Police Stress study (2011-2014). Wrist actigraphy was used to assess sleep measures including sleep duration, sleep efficiency, sleep onset latency, wake after sleep onset, number of awakenings, and longest wake episode. CRAE and CRVE were obtained from fundus photography of retina and were averaged from both eyes per officer. RESULTS: We observed significant associations between sleep efficiency and CRVE (ß = -2.81 µm; P= .046), and between longest wake episode and CRVE (ß = 3.24 µm; P= .021). Adjustments for demographics, lifestyles, and physical and psychological factors attenuated these associations. Sex modified the independent associations of sleep onset latency and longest wake episode with CRVE. One standard deviation (SD) increase in sleep onset latency was associated with 4.81 µm larger CRVE (P= .028) (P-interaction = 0.098), and one SD increase in longest wake episode was associated with 4.62 µm larger CRVE (P= .032) (P-interaction = 0.115) among men. Race/ethnicity also modified the association between longest wake episode and CRVE (P-interaction = 0.088). A significant association was observed only among white officers (ß = 4.96 µm; P= .025). CONCLUSIONS: We found that poor sleep quality, measured by longest wake episode, was positively and independently associated with retinal venular diameter among white and male officers. Longitudinal studies are warranted to assess whether poor sleep quality is a risk factor for retinal diameter changes.

Generalizability of a biomathematical model of fatigue's sleep predictions.

Introduction: Biomathematical models of fatigue (BMMF) predict fatigue during a work-rest schedule on the basis of sleep-wake histories. In the absence of actual sleep-wake histories, sleep-wake histories are predicted directly from work-rest schedules. The predicted sleep-wake histories are then used to predict fatigue. It remains to be determined whether workers organize their sleep similarly across operations and thus whether sleep predictions generalize.Methods: Officers (n = 173) enrolled in the Buffalo Cardio-Metabolic Occupational Police Stress study were studied. Officers' sleep-wake behaviors were measured using wrist-actigraphy and predicted using a BMMF (FAID Quantum) parameterized in aviation and rail. Sleepiness (i.e. Karolinska Sleepiness Scale (KSS) ratings) was predicted using actual and predicted sleep-wake data. Data were analyzed using sensitivity analyses.Results: During officers' 16.0 ± 1.9 days of study participation, they worked 8.6 ± 3.1 shifts and primarily worked day shifts and afternoon shifts. Across shifts, 7.0 h ± 1.9 h of actual sleep were obtained in the prior 24 h and associated peak KSS ratings were 5.7 ± 1.3. Across shifts, 7.2 h ± 1.1 h of sleep were predicted in the prior 24 h and associated peak KSS ratings were 5.5 ± 1.2. The minute-by-minute predicted and actual sleep-wake data demonstrated high sensitivity (80.4%). However, sleep was observed at all hours-of-the-day, but sleep was rarely predicted during the daytime hours.Discussion: The sleep-wake behaviors predicted by a BMMF parameterized in aviation and rail demonstrated high sensitivity with police officers' actual sleep-wake behaviors. Additional night shift data are needed to conclude whether BMMF sleep predictions generalize across operations.

Actigraphy-Based Assessment of Sleep Parameters.

Actigraphy, a method for inferring sleep/wake patterns based on movement data gathered using actigraphs, is increasingly used in population-based epidemiologic studies because of its ability to monitor activity in natural settings. Using special software, actigraphic data are analyzed to estimate a range of sleep parameters. To date, despite extensive application of actigraphs in sleep research, published literature specifically detailing the methodology for derivation of sleep parameters is lacking; such information is critical for the appropriate analysis and interpretation of actigraphy data. Reporting of sleep parameters has also been inconsistent across studies, likely reflecting the lack of consensus regarding the definition of sleep onset and offset. In addition, actigraphy data are generally underutilized, with only a fraction of the sleep parameters generated through actigraphy routinely used in current sleep research. The objectives of this paper are to review existing algorithms used to estimate sleep/wake cycles from movement data, demonstrate the rules/methods used for estimating sleep parameters, provide clear technical definitions of the parameters, and suggest potential new measures that reflect intraindividual variability. Utilizing original data collected using Motionlogger Sleep Watch (Ambulatory Monitoring Inc., Ardsley, NY), we detail the methodology and derivation of 29 nocturnal sleep parameters, including those both widely and rarely utilized in research. By improving understanding of the actigraphy process, the information provided in this paper may help: ensure appropriate use and interpretation of sleep parameters in future studies; enable the recalibration of sleep parameters to address specific goals; inform the development of new measures; and increase the breadth of sleep parameters used.

Associations of objectively measured sleep characteristics and incident hypertension among police officers: The role of obesity.

This study investigated the associations of baseline sleep onset latency, wake after sleep onset, longest wake episode, number of awakenings, sleep efficiency and sleep duration with incident hypertension during a 7-year follow-up (n = 161, 68% men) and the joint effect of insufficient sleep and obesity on incident hypertension. Sleep parameters were derived from 15-day actigraphy data. Relative risks and 95% confidence intervals were estimated using a robust Poisson regression model. Each 10-min increase in sleep onset latency was associated with an 89% higher risk of hypertension (95% confidence interval [CI] = 1.12-3.20). Each 10-min increase in longest wake episode was associated with a 23% higher risk of hypertension (95% CI = 1.01-1.50) and each 10% decrease in sleep efficiency was associated with a 50% higher risk of hypertension (95% CI = 1.02-2.22). These associations were independent of demographic and lifestyle characteristics, depressive symptoms, shift work, sleep duration and body mass index. Having <6 hr of sleep and a body mass index ≥30 kg/m2 increased the risk of hypertension (relative risk = 2.81; 95% CI = 1.26-6.25) compared with having ≥6 hr of sleep and a body mass index <30 after controlling for confounders. Relative excess risk due to interaction was 3.49 (95% CI = -1.69-8.68) and ratio of relative risk was 3.21 (95% CI = 0.72-14.26). These results suggest that poor sleep quality is a risk factor for hypertension. Longitudinal studies with larger sample sizes are warranted to examine the joint effect of insufficient sleep and obesity on development of hypertension.