Examining Nurses' Perception of Shift Work and Evaluating Supportive Interventions.

BACKGROUND: Health care requires a delicate equilibrium of nurse health safety and patient safety outcomes. Shift work can disrupt this balance, resulting in poor outcomes for staff and patients. PROBLEM: Limited evidence exists on nurses' perceptions of shift work, fatigue countermeasures use, and interest in risk-mitigating interventions. METHODS: An online survey of nurses was conducted. Survey questions assessed perceptions of shift work, use of fatigue countermeasures, and potential interventions. RESULTS: The participants perceived multiple differences between day and night shifts when asked about their ability to complete both work- and life-oriented tasks. Use of fatigue countermeasures was more common while working night shift. Potential interventions included the use of blackout curtains, an on-site exercise facility, consulting a nutritionist, and block scheduling. CONCLUSIONS: Health care leaders should consider nurses' perceptions and interests when incorporating initiatives to mitigate the negative effects of shift work.

Diseño de un modelo de ronda de seguridad para unidades de cuidados intensivos / Design of a safety round model for intensive care units

Introducción: Las rondas de seguridad (RS) son una herramienta operativa que permite conocer la adherencia a las buenas prácticas, ayuda a identificar riesgos e incidentes en seguridad del paciente (SP), permitiendo implementar acciones de mejora. El objetivo de este trabajo fue el diseño de un procedimiento para realizar RS en una unidad de cuidados intensivos (UCI). Métodos: Elaboración de un listado de verificación para el desarrollo de RS en una UCI mediante técnica de grupo nominal, con la participación de directivos, mandos intermedios y profesionales de diferentes disciplinas y categorías. En primer lugar, un grupo de expertos consensuó, atendiendo a las recomendaciones en buenas prácticas en SP, la definición de ítems, su codificación, los criterios de cumplimiento y el impacto de su incumplimiento. Posteriormente, determinó su viabilidad mediante un estudio transversal a través del pilotaje de 2 RS para ajustar los ítems en condiciones de práctica clínica real. Resultados: Se ha obtenido un modelo de RS específico para UCI mediante un listado de verificación. El grupo de expertos elaboró un primer listado compuesto por 39 ítems de 6 dimensiones esenciales y definió el modo de realización. El tiempo medio de realización de las 2 RS fue de 85minutos, incluyendo el briefing y debriefing posterior. Tras el pilotaje de validación se redujo las dimensiones a 5, se suprimió 3 ítems, se trasladó 2 ítems a otra dimensión y se modificó 3 ítems relativos a infecciones nosocomiales y consentimiento informado. Además, se redefinieron las fuentes de datos, los criterios de cumplimiento y su peso relativo. El listado definitivo fue considerado útil y relevante para mejorar la práctica. Conclusiones: Mediante una metodología de consenso se ha construido un listado de verificación para ser usado en las RS de una UCI. Este modelo puede servir de base para su empleo en servicios asistenciales de similares características.(AU)

Introduction: Safety Rounds (SR) are an operational tool that allow knowing adherence to good practices, help identify risks and incidents in patient safety (PS), allowing improvement actions to be implemented. The objective of this work was the design of a procedure to perform SR in an Intensive Care Unit (ICU). Methods: Preparation of a checklist for the development of SR in the ICU through the nominal group technique, with the participation of managers, middle managers and professionals from different disciplines and categories. In the first place, a group of experts agreed, based on the recommendations on good practices in PS, the definition of items, their coding, the criteria for compliance and the impact of non-compliance. Subsequently, its viability was determined through a cross-sectional study through the piloting of two SRs to adjust the items in real clinical practice conditions. Results: A specific SR model for ICUs has been obtained through a checklist. The group of experts prepared a first list made up of 39 items of 6 essential dimensions and defined the method of implementation. Mean time to complete the two SRs was 85minutes, including the briefing and subsequent debriefing. After the validation pilot, the dimensions were reduced to 5, 3 items were deleted, 2 items were transferred to another dimension and 3 items related to nosocomial infections and informed consent were modified. In addition, the data sources, the compliance criteria and their relative weight were redefined. The final list was considered useful and relevant to improve practice. Conclusions: Through a consensus methodology, a checklist has been built to be used in the RS of an ICU. This model can serve as a basis for its use in healthcare services with similar characteristics.(AU)

Poor sleep and shift work associate with increased blood pressure and inflammation in UK Biobank participants.

Disrupted circadian rhythms have been linked to an increased risk of hypertension and cardiovascular disease. However, many studies show inconsistent findings and are not sufficiently powered for targeted subgroup analyses. Using the UK Biobank cohort, we evaluate the association between circadian rhythm-disrupting behaviours, blood pressure (SBP, DBP) and inflammatory markers in >350,000 adults with European white British ancestry. The independent U-shaped relationship between sleep length and SBP/DBP is most prominent with a low inflammatory status. Poor sleep quality and permanent night shift work are also positively associated with SBP/DBP. Although fully adjusting for BMI in the linear regression model attenuated effect sizes, these associations remain significant. Two-sample Mendelian Randomisation (MR) analyses support a potential causal effect of long sleep, short sleep, chronotype, daytime napping and sleep duration on SBP/DBP. Thus, in the current study, we present a positive association between circadian rhythm-disrupting behaviours and SBP/DBP regulation in males and females that is largely independent of age.

Influence of shift work on periodontitis according to the occupation group.

This study aimed to investigate the effects of shift work on periodontal disease in blue-and white-collar workers and to examine the interaction effects between occupation and work patterns. Data were collected from the Korea National Health and Nutrition Examination Survey conducted by the Korean Ministry of Health and Welfare for a total of nine years from 2007 to 2015. Participants with missing outcome variables were excluded from the analysis and a total of 32,336 participants were included in the final analysis. Univariable odds ratios (OR) were calculated using a logistic regression model with 95% confidence interval (CI). A multivariable logistic regression analysis was performed using the backward elimination method. The CONTRAST statement was used to analyze the interaction effect between occupation and work patterns. Multivariable logistic regression analysis revealed that interaction effects are present between the terms, occupational type and work pattern. Crude OR of shift work for periodontitis was 1.269 [CI 1.213-1.327, P < 0.05]. However, following adjustment for multiple confounding factors and the interaction effect term considered, this OR (1.269) increased to 1.381 [CI 1.253-1.523] in white-collar group while it decreased to 1.198 [1.119-1.283] in blue-collar. Crude OR of blue-collar (OR = 3.123, CI 2.972-3.281, P < 0.05) decreased to 1.151 [CI 1.049-1.262] when interaction effect to the shift work was considered. Shift work pattern increases the risk for periodontitis and this adverse effect is greater when white-collar workers are engaged comparing to blue-collar. The result of this study suggests that 24/7 lifestyle of the modern society poses health risks to the relevant people and the potential harm can be greater to white-collar workers.

Acute Effect of Night Shift Work on Endothelial Function with and without Naps: A Scoping Review.

We examined the breadth and depth of the current evidence investigating napping/sleeping during night shift work and its impact on non-invasive measures of endothelial function. We used a scoping review study design and searched five databases: Ovid Medline, EMBASE, Ovid APA PsycInfo, Web of Science Core Collection, and EBSCO CINAHL. We limited our search to English language and publications from January 1980 to September 2022. Our reporting adhered to the PRISMA-ScR guidance for scoping reviews. Our search strategy yielded 1949 records (titles and abstracts) after deduplication, of which 36 were retained for full-text review. Five articles were retained, describing three observational and two experimental research studies with a total sample of 110 individuals, which examined the non-invasive indicators of endothelial function in relation to the exposure to night shift work. While there is some evidence of an effect of night shift work on the non-invasive indicators of endothelial function, this evidence is incomplete, limited to a small samples of shift workers, and is mostly restricted to one measurement technique for assessing endothelial function with diverse protocols. In addition, there is no identifiable research investigating the potential benefits of napping during night shift work on non-invasive measures of endothelial function.

Absence of the influence of the APOE gene on the incidence of type 2 diabetes mellitus in a cohort of workers: Effect of diet and shift work / Ausencia de la influencia del gen APOE en la incidencia de diabetes mellitus tipo 2 en una cohorte de trabajadores: efecto de la dieta y la turnicidad laboral

Background: APOE gene encoded a multifunctional protein in lipid metabolism, also associated with inflammatory markers. Type 2 diabetes (T2D) is a complex metabolic disease related to increased blood glucose, triglycerides and VLDL and associated with different dyslipidaemias. The aim of this study was to analyze whether the APOE genotype could determining the risk of developing T2D in a large cohort of workers. Material and methods: Data from the Aragon Workers Health Study (AWHS) (n=4895) were used to investigate the relationship between glycemic levels and APOE genotype. All patients in the AWHS cohort had their blood drawn after an overnight fast and laboratory tests were performed on the same day as the blood drawn. Dietary and physical assessment was assessed by face-to-face interview. APOE genotype was determined by the Sanger sequencing method. Results: The relationship between APOE genotype and glycemic profile showed that glucose, Hb1Ac, insulin and HOMA levels did not seem to be associated with the APOE genotype (p=0.563, p=0.605, p=0.333 and p=0.276, respectively). In addition, the T2D prevalence did not show an association with the APOE genotype (p=0.354). Along the same lines, blood glucose levels and T2D prevalence did not show association with the APOE allele. Shift work had some effect on the glycaemic profile, showing that night shift workers have significantly lower levels of glucose, insulin and HOMA (p<0.001). However, the APOE genotype did not show difference in the concentration of glycaemic parameters adjusting by sex, age and BMI, work shift and dietary parameters. (AU)

Introducción: El gen APOE codifica una proteína multifuncional en el metabolismo de los lípidos y asociada con marcadores inflamatorios. La diabetes tipo 2 (T2D) es una enfermedad metabólica compleja relacionada con aumento de glucosa en sangre, triglicéridos y VLDL y asociado a diferentes dislipidemias. El objetivo de este estudio fue analizar si el genotipo APOE podría determinar el riesgo de desarrollar T2D en una gran cohorte de trabajadores. Material y métodos: Se utilizaron datos de la cohorte Aragon Workers Health Study (AWHS) (n = 4895) para investigar la relación entre los niveles glucémicos y el genotipo APOE. Se extrajo una muestra de sangre tras ayuno a todos los trabajadores de la AWHS y se realizaron pruebas de laboratorio el mismo día de la extracción de sangre. La evaluación dietética y física se evaluó mediante una entrevista presencial. El genotipo APOE se determinó por el método de secuenciación Sanger. Resultados: La glucosa, los niveles de Hb1Ac, insulina y HOMA no parecen estar asociados con el genotipo APOE (p = 0.563, p = 0,605, p = 0,333 y p = 0,276, respectivamente). Además, la prevalencia de T2D no mostró una asociación con el genotipo APOE (p = 0,354). Del mismo modo, los niveles de glucosa en sangre y la prevalencia de T2D no mostró asociación con ningún alelo de APOE. El trabajo por turnos tuvo algún efecto en el perfil glucídico, mostrando que los trabajadores del turno de noche tienen niveles significativamente más bajos de glucosa, insulina y HOMA (p < 0,001). Sin embargo, el genotipo APOE no mostró diferencia en la concentración de parámetros glucídicos ajustando por sexo, edad e IMC, jornada laboral y parámetros dietéticos. (AU)

Trabajo a turnos y Vitamina D / Could serum Vitamin D levels be altered when working shifts?

Este trabajo es un comentario del artículo: Martelli M, Salvio G, Santarelli L, Bracci M. Shift Work and Serum Vitamin D Levels: A Systematic Review and Meta-Analysis. Int J Environ Res Public Health. 2022 Jul 22;19(15):8919. doi: 10.3390/ijerph19158919 (AU)

This text is a commentary on the article: Martelli M, Salvio G, Santarelli L, Bracci M. Shift Work and Serum Vitamin D Levels: A Systematic Review and Meta-Analysis. Int J Environ Res Public Health. 2022 Jul 22;19(15):8919. doi: 10.3390/ijerph19158919 (AU)

Association between shift work in early pregnancy, snacking, and inappropriate weight gain during pregnancy: The Japan Environment and Children's Study.

OBJECTIVES: This study aimed to investigate the relationship between night shifts and snacking behaviors during pregnancy using Japanese maternal-infant longitudinal data from a large-scale study. METHODS: This study used the Japan Environment and Children's Study dataset jecs-ta-20190930, released in October 2019. After simple analysis using analysis of variance and multiple comparisons, crude odds ratios (cOR) and adjusted odds ratios (aORs) were calculated. To evaluate eating habits, we examined habitual fast food and snacks (e.g., potato chips, corn puffs and tortilla chips) consumption, midnight snacks, and regular missing breakfast. RESULTS: There was no significant association between inappropriate weight gain during pregnancy and night shift work in early pregnancy. The aOR for consuming snacks more than once a week after noticing pregnancy for shift workers was 1.34 (95% confidence interval 1.27-1.41; p < 0.001) compared with worker without night shiftwork. The aOR for shift workers consuming fast food more than three times a week during pregnancy was 1.40 (95% confidence interval 0.79-2.33; p > 0.05). CONCLUSIONS: Pregnant night shift workers did not show excessive weight gain but had an increased frequency of consumption of snack foods compared with pregnant dayshift workers.

Night shift work and serum markers of bone turnover in male shift workers.

Night shift work is related to sleep disorders, disruption of circadian rhythm and low serum levels of vitamin D. It is known that all these conditions can adversely affect bone mass. The rate of bone turnover can be assessed through the measurement of molecules called bone turnover markers, including C-terminal telopeptide fragment of type I collagen (CTX) and procollagen type I N-terminal propeptide (P1NP). In this study, we evaluated the serum levels of CTX, P1NP and 25-Hydroxy Vitamin D in 82 male subjects (42 daytime workers and 40 night shift workers) to assess the possible risk of osteoporosis in male shift workers. Serum levels of CTX and P1NP were found to be higher in night shift workers than in daytime workers. No significant difference was found in vitamin D levels between night shift and daytime workers. The increased CTX and P1NP levels reveal a higher rate of bone turnover in night shift workers and thus a possible increased risk of osteoporosis in this category of workers compared with daytime workers. In view of this, our results highlight the importance of further studies investigating the bone health in male night shift workers.

Night shift work, sleep duration and endometrial cancer risk: A pooled analysis from the Epidemiology of Endometrial Cancer Consortium (E2C2).

Data on the role of circadian related factors in the etiology of endometrial cancer are scarce. We collected individual data on night shift work or daily sleep duration from 7,207 cases and 22,027 controls participating in 11 studies from the Epidemiology of Endometrial Cancer Consortium (E2C2). Main analyses were performed among postmenopausal women: 6,335 endometrial cancer cases and 18,453 controls. Using individual data, study-specific odd ratios (ORs) and their corresponding 95% confidence intervals (CIs) were estimated with logistic regression and pooled analyses were conducted using random-effects meta-analyses. A non-significant inverse association was observed between endometrial cancer and night shift work (OR=0.89, 95%CI=0.72-1.09; I2=0.0%, Pheterogeneity=0.676). Associations did not vary by shift type (permanent or rotating), or duration of night work. Categorizations of short (<7h) or long (≥9h) sleep duration were not associated with endometrial cancer risk (ORshort=1.02, 95%CI=0.95-1.10; I2=55.3%, Pheterogeneity=0.022; ORlong=0.93, 95%CI=0.81-1.06; I2=11.5%, Pheterogeneity=0.339). No associations were observed per 1-h increment of sleep (OR=0.98, 95%CI=0.95-1.01; I2=46.1%, Pheterogeneity=0.063), but an inverse association was identified among obese women (OR=0.93, 95%CI=0.89-0.98 per 1-h increment; I2=12.7%, Pheterogeneity=0.329). Overall, these pooled analyses provide evidence that night shift work and sleep duration are not strong risk factors for endometrial cancer in postmenopausal women.

Association of shift work with oxidative stress and alteration of fasting plasma glucose level in Chinese adults.

OBJECTIVE: This study aimed to assess the association of shift work with blood glucose and the mediating role of oxidative stress. METHODS: Fasting plasma glucose (FPG) and urinary concentrations of oxidative stress biomarkers (8-hydroxy-2'-deoxyguanosine [8-OHdG], 4-hydroxy-2-nonenal-mercapturic acid, and 8-iso-prostaglandin F2α [8-isoPGF2α ]) were measured among 831 participants. RESULTS: Positive dose-response relationships among shift work duration,  FPG (ptrend < 0.001), and abnormal glucose regulation (AGR; ptrend = 0.035) were found. Compared with participants without shift work, three-shift work was associated with a higher level of FPG (percentage change: 6.49%, 95% CI: 4.21%-8.83%) and a higher prevalence of impaired fasting glucose (odds ratio: 1.886, 95% CI: 1.114-3.192) and AGR (odds ratio: 1.929, 95% CI: 1.197-3.111). A dose-response relationship was found between shift work duration and 8-OHdG (ptrend = 0.002) and 8-isoPGF2α (ptrend = 0.019). Urinary 8-OHdG and 8-isoPGF2α partially mediated the association between shift work duration and FPG levels and the prevalence of impaired fasting glucose and AGR, with mediating proportions ranging from 4.77% to 20.76%. CONCLUSIONS: These findings suggest that shift work is positively associated with blood glucose, and the association is partially mediated by oxidative stress.

Shift work and risk of incident gastroesophageal reflux disease: the association and mediation.

Introduction: Shift work has become an increasingly common work mode globally. This study aimed to investigate the association between shift work and the risk of incident gastroesophageal reflux disease (GORD), an upward gastrointestinal disorder disease worldwide, and to explore the mediating factors. Method: A total of 262,722 participants from the UK Biobank free of GORD and related gastrointestinal diseases were included to investigate the association and potential mediators between shift work and incident GORD. Multivariate-adjusted Cox models were used to evaluate the association between shift work status and GORD incidence. Results: Compared to non-shift workers, shift workers had a 1.10-fold greater risk of incident GORD [95% confidence intervals (CIs): 1.03, 1.18], after adjusting for a range of potential confounders. However, the excess risk of GORD attenuated to the null after further adjusting for selected mediators. Specifically, the association was mediated by sleep patterns (25.7%), healthy behaviors (16.8%), depressive symptoms (20.2%), chronic conditions (13.3%), and biological factors (17.6%). After adjustment for all the mediators together, the association was attenuated by 71.5%. Discussion: Our findings indicated that long-term shift workers may have a higher risk of incident GORD, yet the excess risk may be explained by poor sleep quality, unhealthy behaviors, depressive symptoms, etc. This has positive implications for protecting the health of shift workers.

Adapting shift work schedules for sleep quality, sleep duration, and sleepiness in shift workers.

BACKGROUND: Shift work is associated with insufficient sleep, which can compromise worker alertness with ultimate effects on occupational health and safety. Adapting shift work schedules may reduce adverse occupational outcomes. OBJECTIVES: To assess the effects of shift schedule adaptation on sleep quality, sleep duration, and sleepiness among shift workers. SEARCH METHODS: We searched CENTRAL, PubMed, Embase, and eight other databases on 13 December 2020, and again on 20 April 2022, applying no language restrictions. SELECTION CRITERIA: We included randomised controlled trials (RCTs) and non-RCTs, including controlled before-after (CBA) trials, interrupted time series, and cross-over trials. Eligible trials evaluated any of the following shift schedule components. • Permanency of shifts • Regularity of shift changes • Direction of shift rotation • Speed of rotation • Shift duration • Timing of start of shifts • Distribution of shift schedule • Time off between shifts • Split shifts • Protected sleep • Worker participation We included studies that assessed sleep quality off-shift, sleep duration off-shift, or sleepiness during shifts. DATA COLLECTION AND ANALYSIS: Two review authors independently screened the titles and abstracts of the records recovered by the search, read through the full-text articles of potentially eligible studies, and extracted data. We assessed the risk of bias of included studies using the Cochrane risk of bias tool, with specific additional domains for non-randomised and cluster-randomised studies. For all stages, we resolved any disagreements by consulting a third review author. We presented the results by study design and combined clinically homogeneous studies in meta-analyses using random-effects models. We assessed the certainty of the evidence with GRADE. MAIN RESULTS: We included 11 studies with a total of 2125 participants. One study was conducted in a laboratory setting and was not considered for drawing conclusions on intervention effects. The included studies investigated different and often multiple changes to shift schedule, and were heterogeneous with respect to outcome measurement. Forward versus backward rotation Three CBA trials (561 participants) investigated the effects of forward rotation versus backward rotation. Only one CBA trial provided sufficient data for the quantitative analysis; it provided very low-certainty evidence that forward rotation compared with backward rotation did not affect sleep quality measured with the Basic Nordic Sleep Questionnaire (BNSQ; mean difference (MD) -0.20 points, 95% confidence interval (CI) -2.28 to 1.89; 62 participants) or sleep duration off-shift (MD -0.21 hours, 95% CI -3.29 to 2.88; 62 participants). However, there was also very low-certainty evidence that forward rotation reduced sleepiness during shifts measured with the BNSQ (MD -1.24 points, 95% CI -2.24 to -0.24; 62 participants). Faster versus slower rotation Two CBA trials and one non-randomised cross-over trial (341 participants) evaluated faster versus slower shift rotation. We were able to meta-analyse data from two studies. There was low-certainty evidence of no difference in sleep quality off-shift (standardised mean difference (SMD) -0.01, 95% CI -0.26 to 0.23) and very low-certainty evidence that faster shift rotation reduced sleep duration off-shift (SMD -0.26, 95% CI -0.51 to -0.01; 2 studies, 282 participants). The SMD for sleep duration translated to an MD of 0.38 hours' less sleep per day (95% CI -0.74 to -0.01). One study provided very low-certainty evidence that faster rotations decreased sleepiness during shifts measured with the BNSQ (MD -1.24 points, 95% CI -2.24 to -0.24; 62 participants). Limited shift duration (16 hours) versus unlimited shift duration Two RCTs (760 participants) evaluated 80-hour workweeks with maximum daily shift duration of 16 hours versus workweeks without any daily shift duration limits. There was low-certainty evidence that the 16-hour limit increased sleep duration off-shift (SMD 0.50, 95% CI 0.21 to 0.78; which translated to an MD of 0.73 hours' more sleep per day, 95% CI 0.30 to 1.13; 2 RCTs, 760 participants) and moderate-certainty evidence that the 16-hour limit reduced sleepiness during shifts, measured with the Karolinska Sleepiness Scale (SMD -0.29, 95% CI -0.44 to -0.14; which translated to an MD of 0.37 fewer points, 95% CI -0.55 to -0.17; 2 RCTs, 716 participants). Shorter versus longer shifts One RCT, one CBA trial, and one non-randomised cross-over trial (692 participants) evaluated shorter shift duration (eight to 10 hours) versus longer shift duration (two to three hours longer). There was very low-certainty evidence of no difference in sleep quality (SMD -0.23, 95% CI -0.61 to 0.15; which translated to an MD of 0.13 points lower on a scale of 1 to 5; 2 studies, 111 participants) or sleep duration off-shift (SMD 0.18, 95% CI -0.17 to 0.54; which translated to an MD of 0.26 hours' less sleep per day; 2 studies, 121 participants). The RCT and the non-randomised cross-over study found that shorter shifts reduced sleepiness during shifts, while the CBA study found no effect on sleepiness. More compressed versus more spread out shift schedules One RCT and one CBA trial (346 participants) evaluated more compressed versus more spread out shift schedules. The CBA trial provided very low-certainty evidence of no difference between the groups in sleep quality off-shift (MD 0.31 points, 95% CI -0.53 to 1.15) and sleep duration off-shift (MD 0.52 hours, 95% CI -0.52 to 1.56). AUTHORS' CONCLUSIONS: Forward and faster rotation may reduce sleepiness during shifts, and may make no difference to sleep quality, but the evidence is very uncertain. Very low-certainty evidence indicated that sleep duration off-shift decreases with faster rotation. Low-certainty evidence indicated that on-duty workweeks with shift duration limited to 16 hours increases sleep duration, with moderate-certainty evidence for minimal reductions in sleepiness. Changes in shift duration and compression of workweeks had no effect on sleep or sleepiness, but the evidence was of very low-certainty. No evidence is available for other shift schedule changes. There is a need for more high-quality studies (preferably RCTs) for all shift schedule interventions to draw conclusions on the effects of shift schedule adaptations on sleep and sleepiness in shift workers.

Exploring Australian night shift workers' food experiences within and outside of the workplace: a qualitative photovoice study.

OBJECTIVE: Night shift workers are at a 20 to 40 % increased risk of metabolic diseases, which may be associated with their disrupted eating patterns. This qualitative study explores factors that influence night shift workers' eating habits, within and outside of the workplace, to identify target areas for health promotion strategies. PARTICIPANTS AND SETTING: Eligible participants resided in Australia, working at least three overnight shifts per month. DESIGN: The photovoice method was used, whereby participants were asked to take photos that represent their typical eating habits. These photos were incorporated as prompts in a semi-structured interview, which explored factors influencing eating habits on night shifts and days-off and perceptions and enablers to healthy eating. RESULTS: Ten participants completed the study. Thematic analysis generated four main themes, which were mapped onto the Social Ecological Model (SE Model). Aligned with the SE Model, our results show night shift workers' eating habits are influenced by intrapersonal, interpersonal and (work) organisational levels. Participants reported that at work, appropriate food preparation facilities are required to enable healthy food choices. Poor shift work rostering leads to prolonged fatigue on days-off, limiting their ability and motivation to engage in healthy eating. Consequently, night shift workers seem to require additional supports from their social networks and enhanced food literacy skills, in order to adopt/ maintain healthy eating behaviours. CONCLUSIONS: Night shift work creates individual and environmental barriers to healthy eating, which are present during and outside of work. Health promotion strategies for this population should include multiple approaches to address these barriers.

Effect of Night Shift Work in Clinical Laboratories on Pediatric Complete Blood Count Results.

BACKGROUND: There has been much research into the impact of shift systems on clinicians and nurses, but little research into quality control in clinical laboratories. This topic focuses on assessing the impact of shift systems on clinical laboratory scientists. METHODS: A total of 34,955 CBCs from pediatric patients who visited the hospital during night-time hours over a period of three years were selected for analysis. The quality of routine blood tests was evaluated using four indica-tors: red blood cell count, white blood cell count, platelet count, and hemoglobin levels. The effects of gender, years of experience, and length of the night shift on test results were evaluated separately for each clinical laboratory scientist. RESULTS: The results showed that the gender and years of experience of the clinical laboratory scientists did not affect the CBC results. However, a significant impact was observed as the number of hours worked on night shifts increased. CONCLUSIONS: The findings of this study suggest that the night shift schedule of clinical laboratory scientists can have an impact on the accuracy of pediatric CBCs. It is essential for healthcare institutions to consider the length of night shifts for clinical laboratory scientists and implement measures to minimize the impact on test results.