Pilot Test of "NIOSH Training for Law Enforcement on Shift Work and Long Work Hours".

OBJECTIVE: Pilot test the effectiveness of an online training program for managing shift work and long work hours. METHOD: Fifty-seven officers from across the United States participated for 12 weeks in a pre-test, training intervention, post-test design assessing the following measures: sleep using actigraphy, diaries, and surveys; knowledge and feedback about the training using surveys. RESULTS: After the training, actigraphy data showed significant reductions in sleep latency and awakenings during sleep. Survey data showed reductions in sleepiness, difficulty staying awake during the day, and difficulty getting things done. Frequency of nightmares also decreased. Participant's knowledge about sleep improved and satisfaction with the training was high. CONCLUSION: Participants were satisfied with the training and showed objective improvements in their sleep and subjective improvements in feelings when awake. This research will help inform interventions to improve police officer health and wellness.

Research priorities to reduce risks from work hours and fatigue in the healthcare and social assistance sector.

BACKGROUND: The services of Healthcare and Social Assistance (HCSA) workers are needed by society around the clock. As a result, these workers are exposed to shift work and long work hours. The combination of demanding work schedules and other hazards in the HCSA work environment increases the health and safety risks to these workers, as well as to their patients/clients and the public. METHODS: This paper has three aims: (1) provide an overview of the burden of shift work, long hours, and related sleep and fatigue problems in this sector; (2) suggest research priorities that would improve these; and (3) discuss potential positive impacts of addressing these research priorities for the health and safety of workers and the public. The authors used a modified Delphi approach to anonymously rank-order priorities for improving HCSA worker health and safety and public safety. Input was also obtained from attendees at the 2019 National Institute for Occupational Safety and Health (NIOSH) Work Hours, Sleep, and Fatigue Forum. RESULTS: The highest rated research priorities were developing better designs for work schedules, and improving the HCSA culture and leadership approaches to shift work and long work hours. Additional priorities are identified. CONCLUSION: Research in these priority areas has the potential to benefit HCSA workers as well as their patients/clients, employers, and society.

Nurse Health: The Influence of Chronotype and Shift Timing.

Extreme chronotype and circadian disrupting work hours may increase nurse disease risks. This national, cross-sectional study of nurses (N = 527) had three hypotheses. When chronotype and shift times are incongruent, nurses will experience increased likelihood of (1) obesity, (2) cardiovascular disease/risk factors, and (3) obesity or cardiovascular disease/risk factors when theoretically linked variables exist. Chronotype mismatched nurses' (n = 206) average sleep (6.1 hours, SD = 1.2) fell below 7-9 hours/24-hours sleep recommendations. Proportion of male nurses was significantly higher chronotype mismatched (12.3%) than matched (6.3%). Analyses found no direct relationship between chronotype match/mismatch with outcome variables. Exploratory interaction analysis demonstrated nurses with mismatched chronotype and above average sleep quality had an estimated 3.51 times the adjusted odds (95% CI 1.52,8.17; p = .003) of being obese. Although mechanism is unclear, this suggests sleep quality may be intricately associated with obesity. Further research is needed to inform nurses on health risks from disrupted sleep, chronotypes, and shift work.

Workplace Interventions to Promote Sleep Health and an Alert, Healthy Workforce.

STUDY OBJECTIVES: The purpose of this review is to synthesize the published literature that addresses employer-initiated interventions to improve the sleep of workers and in turn improve health, productivity, absenteeism, and other outcomes that have been associated with sleep disorders or sleep deficiency. METHODS: We conducted a systematic search and a selective narrative review of publications in PubMed from 1966 to December 2017. We extracted study characteristics, including the workers' professions, workplace settings and shift work, and workplace interventions focused on worker sleep. Because of the high degree of heterogeneity in design and outcomes, we conducted a narrative review. RESULTS: We identified 219 publications. After restriction to publications with studies of workplace interventions that evaluated the outcomes of sleep duration or quality, we focused on 47 articles. An additional 13 articles were accepted in the pearling process. Most studies employed non-randomized or controlled pretest and posttest designs and self-reported measures of sleep. The most common workplace interventions were educational programs stressing sleep hygiene or fatigue management. Other interventions included timed napping before or after work, urging increased daytime activity levels, modifying workplace environmental characteristics such as lighting, and screening, and referral for sleep disorders treatment. Overall, most reports indicated that employer efforts to encourage improved sleep hygiene and healthier habits result in improvements in sleep duration, sleep quality, and self-reported sleepiness complaints. CONCLUSIONS: These studies suggest employer-sponsored efforts can improve sleep and sleep-related outcomes. The existing evidence, although weak, suggests efforts by employers to encourage better sleep habits and general fitness result in self-reported improvements in sleep-related outcomes, and may be associated with reduced absenteeism and better overall quality of life. Candidate workplace strategies to promote sleep health are provided.

Health consequences of electric lighting practices in the modern world: A report on the National Toxicology Program's workshop on shift work at night, artificial light at night, and circadian disruption.

The invention of electric light has facilitated a society in which people work, sleep, eat, and play at all hours of the 24-hour day. Although electric light clearly has benefited humankind, exposures to electric light, especially light at night (LAN), may disrupt sleep and biological processes controlled by endogenous circadian clocks, potentially resulting in adverse health outcomes. Many of the studies evaluating adverse health effects have been conducted among night- and rotating-shift workers, because this scenario gives rise to significant exposure to LAN. Because of the complexity of this topic, the National Toxicology Program convened an expert panel at a public workshop entitled "Shift Work at Night, Artificial Light at Night, and Circadian Disruption" to obtain input on conducting literature-based health hazard assessments and to identify data gaps and research needs. The Panel suggested describing light both as a direct effector of endogenous circadian clocks and rhythms and as an enabler of additional activities or behaviors that may lead to circadian disruption, such as night-shift work and atypical and inconsistent sleep-wake patterns that can lead to social jet lag. Future studies should more comprehensively characterize and measure the relevant light-related exposures and link these exposures to both time-independent biomarkers of circadian disruption and biomarkers of adverse health outcomes. This information should lead to improvements in human epidemiological and animal or in vitro models, more rigorous health hazard assessments, and intervention strategies to minimize the occurrence of adverse health outcomes due to these exposures.

Reducing Risks to Women Linked to Shift Work, Long Work Hours, and Related Workplace Sleep and Fatigue Issues.

In the United States, an estimated 12% to 28% of working women are on shift work schedules, and 12% work more than 48 hours per week. Shift work and long work hours are associated with many health and safety risks, including obesity, injuries, and negative reproductive outcomes. Over time, the worker is at risk for developing a wide range of chronic diseases. These work schedules can also strain personal relationships, owing to fatigue and poor mood from sleep deprivation and reduced quality time to spend with family and friends. Worker errors from fatigue can lead to reduced quality of goods and services, negatively impacting the employer. In addition, mistakes by fatigued workers can have far-reaching negative effects on the community, ranging from medical care errors to motor vehicle crashes and industrial disasters that endanger others. To reduce the many risks that are linked to these demanding work hours, the National Institute for Occupational Safety and Health (NIOSH) conducts research, develops guidance and authoritative recommendations, and translates and disseminates scientific information to protect workers, their families, employers, and the community. The key message to reduce these risks is making sleep a priority in the employer's systems for organizing work and in the worker's personal life. The NIOSH website has freely available online training programs with suggestions for workers and their managers to help them better cope with this workplace hazard.

Negative impacts of shiftwork and long work hours.

PURPOSE: Healthcare organizations often have to provide patient care around the clock. Shift work (any shift outside of 7 a.m. to 6 p.m) and long work hours increase the risk for short sleep duration and sleep disturbances. Thirty-two percent of healthcare workers report they do not get enough sleep. The purpose of the article is to give an overview of the wide range of risks to nurses, patients, and employers that are linked to shift work, long work hours, and poor sleep from other sources. FINDINGS: Shift work and long work hours increase the risk for reduced performance on the job, obesity, injuries, and a wide range of chronic diseases. In addition, fatigue-related errors could harm patients. Fatigued nurses also endanger others during their commute to and from work. CONCLUSION AND CLINICAL RELEVANCE: The key strategy to reduce these risks is making sleep a priority in the employer's systems for organizing work and in the nurse's personal life.

Nurses, smoking, and immunity: a review.

Nurses regularly are exposed to a variety of occupational hazards. In addition to documented occupational hazards, exposure to smoking remains a major concern. This article reviews the prevalence of smoking among nurses working in the United States and discusses their reasons for smoking. Researchers conducted a state-of-the-art review on the effects of cigarette smoking and exposure to secondhand smoke (SHS) on the immune system. Smoking prevalence among nurses working in the United States ranged from 796-12%, and high work stress, poor work environment, shift work, and peer influence were suspected major risk factors influencing smoking behavior. A review of the effects of smoking on immunity revealed that both active smoking and exposure to SHS negatively affects immune function. When rehabilitation nurses stop smoking their health improves and nonsmokers are exposed to less SHS. Rehabilitation nurses are encouraged to share knowledge of the immunological benefits of smoking cessation with patients to facilitate nurse-led rehabilitation programs.

Strategies for nurses to prevent sleep-related injuries and errors.

Rehabilitation nurses work shift schedules or long hours to provide essential patient services around the clock. These demanding hours can lead to sleep difficulties, declines in performance, and increased worker errors. This article gives an overview of selected declines in cognitive performance that are associated with inadequate sleep and several factors that increase riskforfatigue-related errors. Selected strategies for nurses and managers to reduce these risks are discussed, such as better sleep practices, improved work schedule design, naps, caffeine, exposure to light, and rest breaks. Both nurses and managers share responsibility for implementing strategies to reduce risks from inadequate sleep.

Work schedules and health behavior outcomes at a large manufacturer.

There is evidence that work schedules may influence rates of unhealthy behaviors, suggesting that addressing work schedule challenges may improve health. Health Risk Assessment (HRA) survey responses were collected during 2000-2008 in a multinational chemical and coatings manufacturer. Responses of 26,442 were sufficiently complete for analysis. Rates of smoking, lack of exercise, moderate to high alcohol use, obesity (BMI > or = 30), and short sleep duration were compared by work schedule type (day, night, or rotating shift) and daily work hours (8, 10, or 12 h). Prevalence rate ratios (RRs) were calculated, adjusting for age group, sex, marital/living status, job tenure, and occupational group. The reference group was 8-h day shift employees. Overall prevalence rates were: sleep duration of 6 h or less per night 47%, smoking 17.3%, no exercise 22.0%, BMI > or = 30 28.3%, and moderate to heavy alcohol consumption 22.2%. Statistically significant RRs include the following: Short sleep duration: 10 h rotating shift (RR=1.6), 12 h day and 12 h rotating shifts (RR=1.3); Smoking: 12 h day and rotating shifts (RR=1.6), 10 and 12 h night and 8 h rotating shift (RR=1.4); No exercise: 8, 10, and 12 h rotating shifts (RR=1.2 to 1.3), 12 h day schedules (RR=1.3). Obesity (BMI > or = 30): 8 and 10 h night shifts (RR=1.3 and 1.4, respectively).

A review of work schedule issues and musculoskeletal disorders with an emphasis on the healthcare sector.

Musculoskeletal disorders (MSDs) are a significant cause of morbidity in healthcare workers. The influence of shift work and long work hours on risk for MSDs is an area that needs further exploration. The purpose of this report is to assess research progress and gaps across studies that examined the relationship between demanding work schedules and MSD outcomes. A literature search identified 23 peer-reviewed publications in the English language that examined MSDs and long work hours, shift work, extended work shifts, mandatory overtime, or weekend work. Eight studies that examined long work hours and had some controls for physical job demands reported a significant increase in one or more measures of MSDs. Fourteen studies examining shift work had incomparable methods and types of shift work, and therefore, no clear trends in findings were identified. A small number of studies examined mandatory overtime, work on weekends and days off, and less than 10 h off between shifts. Given the complexity of the work schedule research topic, relatively few studies have adequately examined the relationship of work schedules and musculoskeletal outcomes. The review discusses research gaps including methodological issues and suggests research priorities.

Possible broad impacts of long work hours.

The paper summarizes research linking long work hours to a wide range of risks to workers, families, employers, and the community. The risks are theorized to stem from less time to recover from work, longer exposure to workplace hazards, and less time to attend to non-work responsibilities. Risks to workers include sleep deprivation, poor recovery from work, decrements in neuro-cognitive and physiological functioning, illnesses, adverse reproductive outcomes, and injuries. Risks to families include delayed marriages and child bearing, and obesity in children. Risks to employers include reduced productivity and increases in workers errors. Mistakes by fatigued workers have broad reaching impacts to the community: medical errors, automobile crashes with other drivers on the road, and industrial disasters that damage the environment.

Long hours of work in the U.S.: associations with demographic and organizational characteristics, psychosocial working conditions, and health.

BACKGROUND: There are relatively few studies of large national databases that contain information on working hours and health. The current study involved an analysis of data from a quality of work life (QWL) module developed for the 2002 General Social Survey. This module collected work and health data from a representative sample of the U.S. population (N=1,744). METHODS: Descriptive analyses were conducted for five groups based on total hours worked per week: part-time (1-34 hr/week), full-time (35-40 hr/week), lower overtime (41-48 hr/week), medium overtime (49-69 hr/week), and higher overtime (70+ hr/week). Multiple logistic regression examined the association between these five categories and several measures of health and well-being. RESULTS: Compared to full-time workers, the three groups of overtime workers were more likely to be male, white, and middle-aged, with higher levels of education and income. They were also more likely to be self-employed, salaried, work as independent contractors, have more than one job, and work split/irregular/on-call shifts. Although overtime work was characterized by higher levels of job stress and perceptions of overwork, it was also associated with increased levels of participation in decision making and opportunities to develop special abilities. Several significant associations emerged between hours of work and measures of health and well-being, particularly for respondents in the higher overtime group (70+ hr/week). CONCLUSION: Overtime workers differ from their part-time and full-time counterparts in several important areas. Some of these differences tended to increase with the number of overtime hours worked, suggesting a linear relationship. However, caution is warranted before generalizing the results of this study to specific occupations or workplaces.

Long working hours, safety, and health: toward a National Research Agenda.

BACKGROUND: A significant and growing number of people work long hours. Research examining impacts is limited, but raises concerns about risks to the worker, the family, the employer, and the community. The purpose of this report, which is authored by the National Occupational Research Agenda (NORA) Long Work Hours Team, is to motivate and guide future research by proposing a framework for studying long work hours and discussing research gaps. METHODS: The NORA Long Work Hours Team examined research reports and literature reviews, and gathered input from a conference on long work hours organized by the Team and faculty from University of Maryland. RESULTS AND CONCLUSION: A framework is proposed for long work hours, including determinants, outcomes, and moderating factors of long work hours, suggesting that studies need to include more clear and complete descriptions of work schedules, worker characteristics, and the work environment, and need to consider a wider range of possible health, safety, social and economic outcomes for workers, families, employers, and the community. Additional studies are needed on vulnerable employee groups and those critical to public safety. More studies are also needed to develop interventions and test their effectiveness.

Relationship of work schedules to gastrointestinal diagnoses, symptoms, and medication use in auto factory workers.

BACKGROUND: Gastrointestinal (GI) complaints are common in shift workers. This study examines the relationship between work schedules and GI symptoms, medications, and diagnoses. METHODS: In a cross-sectional survey of 343 US auto factory workers, four work schedule variables were examined: assigned shift, number of hours worked, number of night hours, and schedule variability. Multiple regression tested the relationship between GI outcomes and work schedule variables while controlling for covariates. RESULTS: The evening shift was associated with more GI symptoms and GI diagnoses. Unexpectedly, more consistent work times were associated with having a GI diagnosis. As schedule variability increased the probability of GI medication use increased in low noise exposure. CONCLUSION: Findings suggest that evening shift and widely varying work start and end times may increase risks for GI disturbances.

Critical elements of documentation for data-based research.

Scientific integrity and progress are enhanced by precise documentation of the conceptual development and information management aspects of research. Careful and complete documentation of the research process supports accurate reporting. The exercise of documenting data management activities provides an opportunity for nurse researchers to reflect on a study to guide current work and inform and enhance future research. The literature includes many references to the need for data management but contains little advice regarding the nuts and bolts of documenting data management activities. This article describes specific steps for documenting data-based research beginning with the study design and ending with data analysis. The documentation framework and examples presented are sufficient to guide the comprehensive record keeping required for complex studies and can be modified to meet the simpler needs of smaller research projects.