Dataset Information

Distribution of working hour characteristics by race, age, gender, and shift schedule among U.S. manufacturing workers.

ABSTRACT: Shift work is a common occupational exposure, however, few studies have examined aspects of shift work beyond night work and long hours, such as rotational patterns or weekend work, which may contribute to poor health through disruption of the body's circadian rhythms. In this manuscript, we calculated the prevalence of working hour characteristics using algorithms for type (e.g., day), duration, intensity, rotational direction, and social aspects (e.g., weekend work) in a nationwide cohort of American manufacturing workers (N = 23,044) between 2003 and 2014. Distributions of working hour characteristics were examined by schedules (e.g., permanent day, day/night) and demographics, and were cross-classified in a matrix to examine co-occurrence. Approximately 55% of shifts may cause circadian rhythm disruption as they were non-day shifts or day shifts with a quick return or rotation, or were 13 h or longer. Older workers, female workers, and White workers worked permanent day shifts most often, while workers of color worked more day/night schedules. Night and evening shifts had more frequent shift rotations, quick returns, and longer hours than day shifts. Yet, day shifts, which are presumed to have little negative circadian impact, may cause circadian rhythm disruption as long hours, quick returns and rotations also occurred within day shifts.

SUBMITTER: Ferguson JM

PROVIDER: S-EPMC10192004 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Distribution of working hour characteristics by race, age, gender, and shift schedule among U.S. manufacturing workers.

Ferguson Jacqueline M JM Bradshaw Patrick T PT Eisen Ellen A EA Rehkopf David D Cullen Mark R MR Costello Sadie S

Chronobiology international 20230124 3

Shift work is a common occupational exposure, however, few studies have examined aspects of shift work beyond night work and long hours, such as rotational patterns or weekend work, which may contribute to poor health through disruption of the body's circadian rhythms. In this manuscript, we calculated the prevalence of working hour characteristics using algorithms for type (e.g., day), duration, intensity, rotational direction, and social aspects (e.g., weekend work) in a nationwide cohort of A ...[more]

PMID: 36691907

Similar Datasets

Project description:BackgroundWe compared psychomotor vigilance in female shift workers of the Bergmannsheil University Hospital in Bochum, Germany (N = 74, 94% nurses) after day and night shifts.MethodsParticipants performed a 3-minute Psychomotor Vigilance Task (PVT) test bout at the end of two consecutive day and three consecutive night shifts, respectively. Psychomotor vigilance was analyzed with respect to mean reaction time, percentage of lapses and false starts, and throughput as an overall performance score, combining reaction time and error frequencies. We also determined the reaction time coefficient of variation (RTCV) to assess relative reaction time variability after day and night shifts. Further, we examined the influence of shift type (night vs. day) by mixed linear models with associated 95% confidence intervals (CI), adjusted for age, chronotype, study day, season, and the presence of obstructive sleep apnea (OSA).ResultsAt the end of a night shift, reaction times were increased (β = 7.64; 95% CI 0.94; 14.35) and the number of lapses higher compared to day shifts (exp(β) = 1.55; 95% CI 1.16-2.08). By contrast, we did not observe differences in the number of false starts between day and night shifts. Throughput was reduced after night shifts (β = -15.52; 95% CI -27.49; -3.46). Reaction times improved across consecutive day and night shifts, whereas the frequency of lapses decreased after the third night. RTCV remained unaffected by both, night shifts and consecutive shift blocks.DiscussionOur results add to the growing body of literature demonstrating that night-shift work is associated with decreased psychomotor vigilance. As the analysis of RTCV suggests, performance deficits may selectively be driven by few slow reactions at the lower end of the reaction time distribution function. Comparing intra-individual PVT-performances over three consecutive night and two consecutive day shifts, we observed performance improvements after the third night shift. Although a training effect cannot be ruled out, this finding may suggest better adaptation to the night schedule if avoiding fast-changing shift schedules.

Project description:Background The use of 12-h shifts for nursing staff has become common in many healthcare settings, including tertiary hospitals, due to its potential benefits such as reduced handover time and increased continuity of care. However, there is limited research on the experiences of nurses working 12-h shifts, particularly in the context of Qatar, where the healthcare system and nursing workforce may have unique characteristics and challenges. This study aimed to explore the experiences of nurses working 12-h shifts in a tertiary hospital in Qatar, including their perceptions of physical health, fatigue, stress, job satisfaction, service quality, and patient safety. Methods A mixed method study design was applied consisting of a survey and semi-structured interviews. Data was collected from 350 nurses through an online survey and from 11 nurses through semi-structured interviews. Data was analyzed using Shapiro–Wilk test and the difference between demographic variables and scores were examined using Whitney U test and Kruskal- Wallis test. Thematic analysis was used for qualitative interviews. Results The results from quantitative study revealed nurses perception in working 12-h shift has negative impact in their wellbeing, satisfaction as well as patient care outcomes. Thematic analysis revealed real stress and burnout and experienced an enormous amount of pressure going for work. Conclusions Our study provides an understanding of the nurse’s experience working 12-h shift in a tertiary level hospital in Qatar. A mixed method approach informed us that, nurses are not satisfied with the 12-h shift and interviews revealed high level of stress and burnout among nurses resulting in job dissatisfaction and negative health concerns. Nurses also reported that it is challenging to stay productive and focused throughout their new shift pattern. Supplementary Information The online version contains supplementary material available at 10.1186/s12912-023-01371-0.

Dataset Information

Distribution of working hour characteristics by race, age, gender, and shift schedule among U.S. manufacturing workers.

Publications

Distribution of working hour characteristics by race, age, gender, and shift schedule among U.S. manufacturing workers.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets