More than sleep problems? Testing five key health behaviors as reasons for quality of life issues among shift workers.

BACKGROUND: The shift work schedule is a common work arrangement that can disrupt typical sleep-wake rhythms and lead to negative health consequences. The present study aims to examine the effect of shift work on health-related quality of life (QoL) and explore potential behaviorial mediators (i.e., sleep, eating, exercise, smoking, drinking). METHODS: A cross-sectional survey was conducted among 4,449 petroleum workers in southwest China. Data on shift work status, health behaviors, and physical and mental health QoL were collected. We tested our model using path analysis and the Monte Carlo approach among 2,129 included participants. RESULTS: After adjusting for covariates, shift work did not exhibit a significant direct association with QoL. However, shift work indirectly related to poorer physical health quality of life via less frequent healthy food consumption; shift work also indirectly related to poorer mental health QoL via both less frequent healthy food consumption and physical exercise. No significant indirect effects were found via sleeping, smoking, or drinking. CONCLUSIONS: Results suggest that shift work presents a challenge for QoL among Chinese petroleum workers due to their lesser engagement in two specific health behaviors: healthy eating and physical exercise. Healthy eating and exercise may present an even more prominent threat to shift workers' QoL than sleep and substance use. Strategies targeting shift work schedule as well as eating and exercise behaviors may help protect against poor QoL and adverse physical and mental health outcomes in this vulnerable group.

Decoding the impact of night/day shiftwork on well-being among healthcare workers.

This study delved into the complex effects of work schedules on the well-being of healthcare professionals, spotlighting Nigeria's medical landscape. A diverse cohort of 387 participants, spanning doctors, nurses, pharmacists, and laboratory technicians or scientists, formed the research base, with the majority being women (67.7%), with a mean age of 34.67 years. Professionals self-reported their predominant schedules to gauge work patterns, classifying them as day or night shifts. The World Health Organization Quality of Life Brief Version (WHOQOL-BREF) tool assessed the quality of life across the physical, psychological, social relationship, and environmental domains. Psychological distress was measured using the Depression, Anxiety, and Stress Scales (DASS), and perceived social support was evaluated via the Multidimensional Scale of Perceived Social Support (MSPSS). A cross-sectional design was adopted, and the study employed moderated mediation analysis using SmartPLS 4.0. The results underscored the significant ramifications of night shifts on environmental and physical well-being. Psychological health and social relationships were better among day shift than night shift workers. There was a pronounced correlation between night shifts and heightened levels of anxiety, stress, and depression. The mediating role of psychological distress and the moderating influence of social support in these relationships were evident. This study offers invaluable insights into the role of work schedules in shaping the well-being of healthcare professionals, emphasising the protective role of social support and the unique challenges faced by migrant health workers.

Latent class analysis of the sleep quality of night shift nurses and impact of shift-related factors on the occupational stress and anxiety.

AIMS: The objective of this study is to explore the various latent categories within the sleep quality of night shift nurses and to investigate whether shift-related factors predispose nurses to higher levels of occupational stress and anxiety. DESIGN: This is a cross-sectional study. METHODS: From November to December 2020, registered nurses from 18 tertiary hospitals and 16 secondary hospitals in Chongqing were selected through convenience sampling for this study. Latent class analysis was used to investigate the sleep quality of nurses working night shifts. Furthermore, univariate analysis and logistic multivariate analysis were utilized to identify the contributing factors to occupational stress and anxiety. RESULTS: The four latent categories of Pittsburgh Sleep Quality Index for night shift nurses were identified as 'Low Sleep Disorder Group' (56.34%), 'Moderate Sleep Disorder Group' (37.27%), 'High Sleep Disorder Non-Reliant on Sleeping medication Group' (4.89%) and 'High Sleep Disorder Reliant on Sleeping medication Group' (1.50%). The results showed that having a night-shift frequency of 3-4 times per month, night-shift durations of 9-12 h, sleep time delay after night shift (≥2 h), total sleep time after night shift less than 4 h were shift-related factors that increased the levels of occupational stress and anxiety. CONCLUSION: The sleep quality of night shift nurses demonstrates heterogeneity and can be classified into four latent categories. Higher frequency of night shifts, extended work hours and insufficient rest time are all associated with increased levels of occupational stress and anxiety. IMPACT: By identifying the four latent categories of sleep quality among night shift nurses, this study sheds light on the relationship between sleep patterns and levels of occupational stress and anxiety. These findings have important implications for healthcare institutions in the management of nurse well-being and work schedules. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Shift Work and Sleep Disturbance in the Oil Industry.

BACKGROUND: Rotating shift work is common in high-hazard industries, despite documented associations with sleep disturbance and impairment. In the oil industry, where rotating and extended shift schedules are used to staff safety-sensitive positions, work intensification and increasing overtime rates have been broadly documented over the last few decades. Research on the impacts of these work schedules on sleep and health has been limited for this workforce. METHODS: We examined sleep duration and quality among rotating shift workers in the oil industry and explored associations between schedule characteristics, sleep, and health outcomes. We recruited hourly refinery workers from the West and Gulf Coast oil sector members of the United Steelworkers union. FINDINGS: Impaired sleep quality and short sleep durations were common and associated with health and mental health outcomes common among shift workers. Shortest sleep durations followed shift rotations. Early rise and start times were associated with shorter sleep duration and poorer sleep quality. Drowsiness and fatigue-related incidents were common. CONCLUSION/APPLICATION TO PRACTICE: We observed lower sleep duration and quality and increased overtime in 12-hour rotating shift schedules. These long workdays with early start times may reduce available hours for quality sleep; here they were associated with reduced exercise and leisure activity which correlated with good sleep. This safety-sensitive population appears severely impacted by poor sleep quality, which has broader implications for process safety management. Later start times, slower rotation, and a reconsideration of two-shift schedules are interventions to consider for improving sleep quality among rotating shift workers.

Daytime eating prevents mood vulnerability in night work.

Shift workers have a 25 to 40% higher risk of depression and anxiety partly due to a misalignment between the central circadian clock and daily environmental/behavioral cycles that may negatively affect mood and emotional well-being. Hence, evidence-based circadian interventions are required to prevent mood vulnerability in shift work settings. We used a stringently controlled 14-d circadian paradigm to assess mood vulnerability during simulated night work with either daytime and nighttime or daytime-only eating as compared with simulated day work (baseline). Simulated night work with daytime and nighttime eating increased depression-like mood levels by 26.2% (p-value adjusted using False Discovery Rates, pFDR = 0.001; effect-size r = 0.78) and anxiety-like mood levels by 16.1% (pFDR = 0.001; effect-size r = 0.47) compared to baseline, whereas this did not occur with simulated night work in the daytime-only eating group. Importantly, a larger degree of internal circadian misalignment was robustly associated with more depression-like (r = 0.77; P = 0.001) and anxiety-like (r = 0.67; P = 0.002) mood levels during simulated night work. These findings offer a proof-of-concept demonstration of an evidence-based meal timing intervention that may prevent mood vulnerability in shift work settings. Future studies are required to establish if changes in meal timing can prevent mood vulnerability in night workers.

Physicians prescribe fewer analgesics during night shifts than day shifts.

Adequate pain management is one of the biggest challenges of the modern healthcare system. Physician perception of patient subjective pain, which is crucial to pain management, is susceptible to a host of potential biases. Here we explore the timing of physicians' work as a previously unrecognized source of systematic bias in pain management. We hypothesized that during night shifts, sleep deprivation, fatigue, and stress would reduce physicians' empathy for others' pain, leading to underprescription of analgesics for patient pain relief. In study 1, 67 resident physicians, either following a night shift or not, performed empathy for pain assessment tasks and simulated patient scenarios in laboratory conditions. As predicted, following a night shift, physicians showed reduced empathy for pain. In study 2, we explored this phenomenon in medical decisions in the field. We analyzed three emergency department datasets from Israel and the United States that included discharge notes of patients arriving with pain complaints during 2013 to 2020 (n = 13,482). Across all datasets, physicians were less likely to prescribe an analgesic during night shifts (compared to daytime shifts) and prescribed fewer analgesics than generally recommended by the World Health Organization. This effect remained significant after adjusting for patient, physician, type of complaint, and emergency department characteristics. Underprescription for pain during night shifts was particularly prominent for opioids. We conclude that night shift work is an important and previously unrecognized source of bias in pain management, likely stemming from impaired perception of pain. We consider the implications for hospitals and other organizations employing night shifts.

Need for cognition moderates the impairment of decision making caused by nightshift work in nurses.

The current study explores the effect of nightshift work on the decision-making competence and performance of the Iowa Gambling Task (IGT) and analyzes whether individual differences in the need for cognition (NFC) can moderate this effect. A total of 107 female nurses were recruited to complete the decision-making competence scale and IGT at two times, after a night shift and after a day shift. The results revealed that the IGT scores and decision-making competence of nurses after nightshift work significantly declined, and also that the decrease in decision-making competence was related to the nurses' performance of the IGT. Additionally, the decreasing degree of IGT and decision-making competence scores of the high-NFC group were significantly lower than those of the low-NFC group after nightshift work. In can be concluded that the decrease in decision-making competence which was related with poor decision-making due to nightshift work. NFC moderated the effect of nightshift work on decision-making.

Night shift work and the risk of metabolic syndrome: Findings from an 8-year hospital cohort.

OBJECTIVES: Studies concerning the risk of metabolic syndrome associated with night work have shown inconsistent findings, due to imprecise working time data and cross-sectional design. We used register-based daily working time data to examine the risk of incident metabolic syndrome associated with night shift work. METHODS: Working time data collected between 2010 and 2018 of 5775 Taiwanese hospital workers were used to identify night shift workers and to calculate the number of night shifts. Metabolic syndrome was identified by annual occupational health examination results, which were linked to the working time data. Logistic regression models and generalized estimating equations were used to examine the association between night shift work and metabolic syndrome and the 5 components of metabolic syndrome. RESULTS: Night shift work is associated with a higher risk of developing metabolic syndrome (adjusted OR = 1.36, 95% CI = 1.04 to 1.78) and high waist circumference (adjusted OR = 1.27, 95% CI = 1.07 to 1.78) compared to day work. Among night shift workers, increased number of night shifts was associated with high blood pressure (adjusted OR = 1.15, 95% CI = 1.01 to 1.31). CONCLUSIONS: Night shift work is associated with metabolic risk factors. Long-term effects of circadian rhythm disruption on metabolic disturbances needs to be further studied.

Nurses' experiences and preferences around shift patterns: A scoping review.

OBJECTIVE: To explore the evidence on nurses' experiences and preferences around shift patterns in the international literature. DATA SOURCES: Electronic databases (CINHAL, MEDLINE and Scopus) were searched to identify primary studies up to April 2021. METHODS: Papers reporting qualitative or quantitative studies exploring the subjective experience and/or preferences of nurses around shift patterns were considered, with no restrictions on methods, date or setting. Key study features were extracted including setting, design and results. Findings were organised thematically by key features of shift work. RESULTS: 30 relevant papers were published between 1993 and 2021. They contained mostly qualitative studies where nurses reflected on their experience and preferences around shift patterns. The studies reported on three major aspects of shift work: shift work per se (i.e. the mere fact of working shift), shift length, and time of shift. Across all three aspects of shift work, nurses strive to deliver high quality of care despite facing intense working conditions, experiencing physical and mental fatigue or exhaustion. Preference for or adaptation to a specific shift pattern is facilitated when nurses are consulted before its implementation or have a certain autonomy to self-roster. Days off work tend to mitigate the adverse effects of working (short, long, early or night) shifts. How shift work and patterns impact on experiences and preferences seems to also vary according to nurses' personal characteristics and circumstances (e.g. age, caring responsibilities, years of experience). CONCLUSIONS: Shift patterns are often organised in ways that are detrimental to nurses' health and wellbeing, their job performance, and the patient care they provide. Further research should explore the extent to which nurses' preferences are considered when choosing or being imposed shift work patterns. Research should also strive to better describe and address the constraints nurses face when it comes to choice around shift patterns.

Differences in Clinical Indicators of Diabetes, Hypertension, and Dyslipidemia Among Workers Who Worked Long Hours and Shift Work.

BACKGROUND: Many studies have reported an association between overwork, shift work, and chronic disease. However, there is little research on the influence of working hours and shift work and management of chronic diseases. The objective of this retrospective study was to examine the association between working hours, shift work type in workers with hypertension, diabetes, and dyslipidemia. METHODS: Among 18,513 hourly wageworkers from the Korea National Health and Nutrition Examination Survey, 4,313 with hypertension, diabetes, and hyperlipidemia were selected. An analysis of covariance with general linear modeling was used to estimate group differences in clinical indices of chronic diseases according to weekly working hours and types of shift work, both unadjusted and adjusted for gender, age, education, marital status, household income, and medication usage. FINDINGS: Clinical indicators were worse in workers with diabetes (differences in HbA1c = 0.15%; fasting blood glucose = 4.84 mg/dL), hypertension (differences in diastolic blood pressure = 1.2 mmHg), or dyslipidemia (differences in total cholesterol = 3.3 mg/dL) who worked for more than 40 hours/week compared with workers who worked less than 40 hours per week. Clinical indicators in workers with diabetes and hypertension were worse in shift workers, including evening and night shifts, relative to those who did not work shiftwork. CONCLUSIONS/APPLICATION TO PRACTICE: Working more than 40 hours per week and shift work were negatively associated with adverse clinical indicators among workers with chronic diseases. To improve the health of workers with chronic diseases, these findings suggest that adjustment of working hours and shift work may be warranted.

Effects of work stress, sleep, and shift work on suicidal ideation among female workers in an electronics company.

BACKGROUND: Suicide is the leading cause of death in young adults in Korea. Stress in the workplace affects the suicide rate; young female workers are particularly vulnerable to adverse work environments. We investigated the relationships of shift work, sleep, and work stress to suicidal ideation. METHODS: This study used data from 508 female workers aged 22-40 years in an electronics company. Data on baseline characteristics, work patterns, sleep quality (using the Pittsburgh Sleep Quality Index), and work stress levels using the Korean Occupational Stress Scale (KOSS) were obtained from questionnaires. We examined associations between suicidal ideation and shift work, sleep quality, and KOSS scores. RESULTS: Suicidal ideation was significantly higher among shift workers (odds ratio [OR], 2.38; 95% confidence interval [CI], 1.31-4.32), those with poor sleep (OR, 2.84; 95% CI, 1.68-4.84), and those with high work stress (OR, 3.30; 95% CI, 1.82-6.00). Both 3 × 12 h shift workers (OR, 2.98; 95% CI, 1.35-6.57) and 4 × 8 h shift workers (OR, 2.14; 95% CI, 1.03-4.45) had increased suicidal ideation. High work stress (OR, 11.55; 95% CI, 2.93-45.48) had stronger associations with suicidal ideation than poor sleep (OR, 3.86; 95% CI, 1.21-12.33) in shift workers. The combined effect of poor sleep and high KOSS on suicidal ideation was stronger in shift workers (OR, 13.39; 95% CI, 3.22-55.62) than day workers (OR, 4.31; 95% CI, 1.03-18.01). CONCLUSIONS: Shift workers are more vulnerable than day workers to the combination of work stress and poor sleep quality as well as to work stress alone.

Relationship Between Shift Intensity and Insomnia Among Hospital Nurses in Korea: A Cross-sectional Study.

OBJECTIVES: This study explored the relationship between shift intensity and insomnia among hospital nurses. METHODS: The participants were 386 female hospital nurses who underwent a special health examination for night workers in 2015. The Korean Insomnia Severity Index (ISI), indices of shift work intensity, and other covariates such as amount of exercise, level of alcohol consumption, employment duration, and hours worked were extracted from the health examination data. The indices for shift intensity were (1) number of 3 consecutive night shifts and (2) number of short recovery periods after a previous shift, both assessed over the prior 3 months. Multiple logistic regression analysis adjusted for the aforementioned covariates was performed to evaluate the association of shift intensity with insomnia, defined as an ISI score of ≥8. RESULTS: The nurses with insomnia tended to be younger (p=0.029), to have worked 3 consecutive night shifts more frequently (p<0.001), to have experienced a greater number of short recovery periods after the previous shift (p=0.021), and to have worked for more hours (p=0.006) than the nurses without insomnia. Among the other variables, no statistically significant differences between groups were observed. Experiences of 3 or more consecutive night shifts (odds ratio [OR], 2.33; 95% confidence interval [CI], 1.29 to 4.20) and 3 or more short recovery periods (OR, 2.01; 95% CI, 1.08 to 3.73) were associated with increased odds of insomnia. CONCLUSIONS: The results suggest that decreasing the shift intensity may reduce insomnia among hospital nurses working rotating shifts.

A field investigation of the relationship between rotating shifts, sleep, mental health and physical activity of Australian paramedics.

Paramedics working on a rotating shift are at an increased risk of developing chronic health issues due to continuous circadian rhythm disruption. The acute effects of shift rotation and objectively measured sleep have rarely been reported in paramedics. This study investigated the relationships between a rotating shift schedule and sleep (using actigraphy), subjective reports of sleepiness, mood, stress and fatigue. Galvanic Skin Response, energy expenditure and physical activity (BodyMedia SenseWear Armband) were also recorded across the shift schedule. Paramedics were monitored for a period of eight consecutive days across pre-shift, day shift, night shift, and 2 days off. Fifteen paramedics (M age = 39.5 and SD = 10.7 years) who worked rotational shifts experienced sleep restriction during night shift compared to pre-shift, day shift and days off (p < 0.001). Night shift was also associated with higher levels of stress (p < 0.05), fatigue (p < 0.05), and sleepiness (p < 0.05). One day off was related to a return to pre-shift functioning. Such shift-related issues have a compounding negative impact on an already stressful occupation with high rates of physical and mental health issues. Therefore, there is an urgent need to investigate methods to reduce rotating shift burden on the health of paramedics. This could be through further research aimed at providing recommendations for shift work schedules with sufficient periods for sleep and recovery from stress.

Registered Nurses' Experiences Taking Breaks on Night Shift: A Qualitative Analysis.

BACKGROUND: Fatigue mitigation strategies among night shift workers can include deliberate use of restful work breaks, taking naps, and consuming caffeine. However, nurses have frequently reported missing break opportunities, and the rationale for missed breaks remains unclear. The purpose of this study was to describe and interpret the lived experience of hospital night shift nurses taking breaks and the meaning of this phenomenon as it relates to the workplace. METHODS: Registered nurses (n = 16) from a U.S. community hospital were interviewed about how they took rest breaks during their shift. Data were analyzed with methods consistent to interpretive phenomenology. FINDINGS: Identified themes about the breaks included (a) breaks are a time to eat, (b) breaks are inconsistently supported by unit-level structures and processes, and (c) breaks are a luxury, not a right. CONCLUSIONS/APPLICATIONS TO PRACTICE: Nurses in this study reported an absence of consistent and restorative breaks. Organizations should analyze gaps within systems and processes to optimize a consistent, restorative nature of the break experience among nurses working night shift.

Caring for the carers: Advice for dealing with sleep problems of hospital staff during the COVID-19 outbreak.

Hospital staff are at the frontline in the COVID-19 outbreak. The stressors they experience may induce sleep problems in a population already at risk. Sleep deprivation, long shifts and insomnia in hospital staff have been associated with individual, organizational and public health hazards. These include increased risk of mental and somatic disorders, altered immune responses, medical errors, misunderstandings, drowsy driving and burnout. In March 2020, the World Health Organization called for providing access to mental health and counselling for health professionals involved in the COVID-19 outbreak. To answer this call, we propose practical advice for the management of sleep problems (sleep deprivation, insomnia and shift work) that can be included in supportive interventions. The advice is based on psychobiological principles of sleep regulation and on guidelines for the treatment of insomnia and was implemented within an initiative offering psychological support to the staff of three university hospitals in Rome.

Association between circadian rhythm disruption and polycystic ovary syndrome.

OBJECTIVE: To explore the association of circadian rhythm disruption with polycystic ovary syndrome (PCOS) and the potential underlying mechanism in ovarian granulosa cells (GCs). DESIGN: Multicenter questionnaire-based survey, in vivo and ex vivo studies. SETTING: Twelve hospitals in China, animal research center, and research laboratory of a women's hospital. PATIENTS/ANIMALS: A total of 436 PCOS case subjects and 715 control subjects were recruited for the survey. In vivo and ex vivo studies were conducted in PCOS-model rats and on ovarian GCs collected from women with PCOS and control subjects. INTERVENTION(S): The PCOS rat model was established with the use of testosterone propionate. MAIN OUTCOME MEASURE(S): Assay for transposase-accessible chromatin with high-throughput sequencing (ATAC-seq), RNA sequencing, rhythmicity analysis, functional enrichment analysis. RESULT(S): There was a significant correlation between night shift work and PCOS. PCOS-model rats presented distinct differences in the circadian variation of corticotropin-releasing hormone, adrenocorticotropic hormone, prolactin, and a 4-h phase delay in thyrotropic hormone levels. The motif enrichment analysis of ATAC-seq revealed the absence of clock-related transcription factors in specific peaks of PCOS group, and RNA sequencing ex vivo at various time points over 24 hours demonstrated the differential rhythmic expression patterns of women with PCOS. Kyoto Encyclopedia of Genes and Genomes analysis further highlighted metabolic dysfunction, including both carbohydrate and amino acid metabolism and the tricarboxylic acid cycle. CONCLUSION(S): There is a significant association of night shift work with PCOS, and genome-wide chronodisruption exists in ovarian GCs.

Subjective and objective assessments after a change from a 4-crew, 12-h shift to a 3-crew, 12-h shift schedule: an observational study.

PURPOSE: To clarify the subjective and objective impacts of a change in a 12-h shift schedule, involving a reduction in the number of crews, on workers at an electronic parts production company. METHODS: Forty-two workers participated in this study. Subjective indicators (e.g. questionnaires) and objective indicators [e.g., psychomotor vigilance task (PVT)], as well as an activity monitor-based sleep assessment, were measured during a > 1-year period that encompassed the shift schedule change. The study outcome was a comparison of work-related injury rates measured 1 year before and after the change in shift schedule. RESULTS: After the shift schedule change, questionnaire scores regarding work-related burdens and PVT performance parameters, including mean response time and number of lapses, increased significantly. However, we also observed divergences in the trends of the subjective and objective measures 1 year after the change. Despite these variations in both types of measures, we observed no significant differences in work-related injury rates measured before and after the shift schedule change. CONCLUSION: This study revealed that a reduction in the number of crews in a 12-h shift schedule has a negative impact on the subjective and objective indicator after the change in shift schedule; only indicators of alertness did not recover at 1 year after the change. Assessments of the workers' performances and the regular implementation of health and safety programs for more than 1 year are needed to maintain workers' health after the change in shift schedule.

The impact of nurses' and physicians' shift change on obstetrical outcomes.

PURPOSE: To evaluate the effect around nurses' shift change and on-call physicians' shift change on obstetrical outcomes. METHODS: A retrospective study of women who had an attempt of labor in a single-medical center, January 2006-December 2017. Obstetrical outcomes were compared between the time around nurses' shift change (6:00-8:00, 14:00-16:00, and 22:00-00:00) to the rest of the day, and between the time around on-call physicians' shift change (6:00-8:00, 14:00-16:00) to the rest of the day. RESULTS: 32,861 women were included, 7826 deliveries occurred during nurses' shift-change, and 25,035 deliveries occurred during the rest of the day. The groups had similar general and obstetrical characteristics, with no statistical difference in cesarean delivery rate (10% vs. 9.8%, P = 0.45) (Table 1). Nurses' shift change had no measurable effect on obstetrical outcomes, including induction of labor, preterm labor, 5-min-Apgar score and cord pH value, except PPH which was less likely to occur during nurses' shift change period (3.8% vs. 4.4%, P = 0.045) (Table 2). From 32,861 deliveries, 5155 deliveries occurred during on-call physicians' shift-change, and 27,706 deliveries occurred during the rest of the day. Induction\augmentation of labor and epidural analgesia were less likely to happen during on-call physicians' shift change (34.4% vs. 38%, P < 0.0001, 59.6% vs. 61.8%, P = 0.003, respectively) (Table 3). The two groups had similar obstetrical outcomes, without statistical difference in cesarean delivery rate (10% vs. 9.8%, P = 0.63) (Table 4). Table 1 General and obstetric characteristics of women giving birth during the time of nurses shift change versus during the rest of the day Variable Change of nurses shifts (n = 7826) All other hours of the day (n = 25,035) P value Maternal age, y 30.3 ± 5.1 30.2 ± 5.2 0.09 Gestational age at birth (weeks) 39.7 ± 1.09 39.8 ± 1.10 0.55 Nulliparity 2077 (35%) 7067 (37%) 0.01 Induction\augmentation of labor 2905 (37) 9368 (38) 0.62 Epidural analgesia 4746 (61) 15,396 (62) 0.16 Neonatal birth weight, g 3340 ± 422 3330 ± 423 0.06 Data is presented as mean ± S.D or N (%) Table 2 Maternal and neonatal adverse outcomes of women giving birth during the time of nurses shift change versus during the rest of the day Variable (%) Change of nurses shifts (n = 7826) All other hours of the day (n = 25,035) P value Vacuum assisted delivery 615 (7.9) 2002 (8.0) 0.69 Cesarean delivery 788 (10) 2443 (9.8) 0.45 Postpartum hemorrhage 294 (3.8) 1089 (4.4) 0.045 Third- and fourth-degree perineal laceration 106 (1.4) 372 (1.5%) 0.51 5-min Apgar score < 7 39 (0.5) 139 (0.6) 0.65 Umbilical pH < 7.2 170 (23) 580 (23) 0.96 Prolonged second stage 190 (2.5) 559 (2.2) 0.22 Maternal and fetal composite adverse outcome* 1309 (16.7%) 4219 (16.9%) 1.00 Data is presented as N (%) *Maternal and fetal composite adverse outcome was defined as the presence of any of the following: vacuum delivery, CD, prolonged second stage, postpartum hemorrhage, third and fourth degree perineal laceration, 5-min Apgar score < 7 and umbilical cord pH < 7.2 Table 3 General and obstetric characteristics of women giving birth during the time of the on-call physicians shift change versus during the rest of the day Variable Change of physicians shifts (n = 5155) All other hours of the day (n = 27,706) P value Maternal age, years 30.3 ± 5.1 30.2 ± 5.2 0.38 Gestational age at birth (weeks) 39.8 ± 1.09 39.8 ± 1.10 0.95 Nulliparity (%) 1303 (33.4) 7841 (37) < 0.0001 Induction\augmentation of labor (%) 1769 (34.3) 10,504 (38) < 0.0001 Epidural analgesia (%) 3067 (59.6) 17,075 (61.8) 0.003 Neonatal birth weight (gr) 3345 ± 416 3330 ± 424 0.019 Data is presented as mean ± S.D or N (%) Table 4 Maternal and neonatal adverse outcomes of women giving birth during the time of physicians on-call shift change versus during the rest of the day Variable (%) Change of physicians shifts (n = 5155) All other hours of the day (n = 27,706) P value Vacuum assisted delivery 397 (7.7) 2220 (8.0) 0.45 Cesarean delivery 517 (10.0) 2714 (9.8) 0.63 Postpartum hemorrhage 209 (4.1) 1174 (4.3) 0.54 Third- and fourth-degree perineal laceration 67 (1.3) 411 (1.5) 0.31 5-min Apgar score < 7 22 (0.5) 156 (0.6) 0.30 Umbilical pH < 7.2 94 (20.3) 656 (23.3) 0.15 Prolonged second stage 127 (2.5%) 622 (2.3%) 0.36 Maternal and fetal composite adverse outcome* 852 (16.5%) 4676 (16.9%) 1.00 Data is presented as N (%) *Maternal and fetal composite adverse outcome was defined as the presence of any of the following: vacuum delivery, CD, prolonged second stage, postpartum hemorrhage, third and fourth degree perineal laceration, 5-min Apgar score < 7 and umbilical cord pH < 7.2 CONCLUSION: Nurses' shift change and on-call physicians' shift change does not appear to be associated with an increase in adverse maternal or neonatal outcomes.

The 12-hour shift: radiographers' perspectives and its applicability during a pandemic.

INTRODUCTION: Traditionally, shift work for radiographers at our institution comprised of three shift patterns - morning (8am-2pm), afternoon (2pm-9pm) and night (9pm-8am). However, when COVID-19 was first detected in Singapore in January 2020, the 12-h shift was introduced for better team segregation and deployment to meet the service needs of the Emergency Department. The 12-h shift consisted of the day (9am-9pm) and night (9pm-9am) shifts. While the 12-h shift is common to nursing practices, it is new to the radiography profession within the study centre. This study explores the radiographers' perspectives of the new shift and the impact of shift patterns on radiographers' wellness and work performance compared to the original three shift patterns. METHODS: A mixed-methods design study was adopted for this single-centre evaluation. An anonymous online questionnaire was administered to radiographers who had experienced both shift types. Additionally, the number of radiographers who had taken sick leave, and images rejected and accepted from the X-ray consoles were retrospectively collected to measure the impact of the new shift. RESULTS: Radiographers experienced fatigue and appreciated the longer rest days associated with the 12-h shift. Additionally, the sick leave rates and image reject counts were more favourable with the 12-h shift pattern. CONCLUSION: The findings indicate that the extended shift hours are effective during a pandemic but may result in radiographer burnout during a prolonged outbreak. IMPLICATIONS FOR PRACTICE: Studying these variables will provide an effective starting point in understanding the efficacy and applicability of a 12-h shift system during pandemic periods.