This study investigated association of Perceived Organization Support (POS) with diabetes treatment among workers. This prospective cohort study was conducted online, and parts of nations wide study stratified similarly with workers\' characteristic in Japan. Samples were screened to those who had diabetes in the baseline years. Binary regression analysis and p for trend were used for statistical analysis. There were 1,203 participants with diabetes followed up regarding their treatment behavior. Higher POS were likely to seek appropriate diabetes treatment after adjustment with personal and occupational factors (p=0.032) but became marginally significant when adjusted with night shift status (p=0.051). Further analysis found that POS was only associated with diabetes treatment among workers with night shift. Higher POS was likely associated with proper diabetes treatment specifically among workers with night shift.

UNASSIGNED: The association of shift work (SW) and disrupted circadian rhythm with markers of large artery atherosclerosis and cerebral small vessel disease is uncertain. We aimed to study the separate association of current and former SW with these markers.
UNASSIGNED: We included participants from the population-based Hamburg City Health Study. SW was defined by monthly working hours between 06:00 pm and 07:00 am containing night shifts for at least 12 months. Cross-sectional data were obtained from structured questionnaires, laboratory analyses, physical examinations, brain magnetic resonance imaging, and carotid ultrasound. We performed multivariable regression analysis with carotid intima-media thickness (CIMT), and peak-width skeletonized mean diffusivity (PSMD) as dependent variables.
UNASSIGNED: Three hundred and forty-four current, 238 former, and 7162 never-shift workers were included. The median age was 60 years for both current and former shift workers, and total duration of SW was comparable for the two groups. Current shift workers were less frequently female (27.3% vs. 44.5%; p < .001), had more frequent hyperlipidemia (31.5% vs. 22.3%; p = .024), and diabetes (16.2% vs. 3.2%; p < .001). After adjustment for age and sex, reduced quality of sleep (β = 1.61, p = .001) and low education (β = 2.63, p < .001) were associated with current but not former SW. Adjusted for age and sex, the current SW was associated with higher CIMT (β = 0.02, p = .001) and PSMD (β = 9.06e-06, p = .006), whereas former SW was not. Adjusted for risk factors, current SW remained associated with PSMD (β = 9.91e-06, p = .006) but not with CIMT.
UNASSIGNED: Current SW was associated with CIMT and with PSMD, with the latter association remaining after adjustment for risk factors. Former SW showed no associations with CIMT or PSMD. This may indicate that current SW is linked with increased neurovascular risk through disrupted circadian rhythms.
UNASSIGNED: The trial was submitted at http://www.clinicaltrials.gov, under NCT03934957 on January 4, 2019. The first participant was enrolled in February 2016.

This study aimed to investigate the change in diet quality in addition to dietary adherence to the planetary health diet during night shifts in healthcare workers. This observational follow-up study involved 450 healthcare workers working night shifts (327 females, 123 males). A survey form requesting sociodemographic information (gender, age, marital status), job title, sleeping duration during the night shift, 24 h dietary records for pre-night-shift, during night shift, and post-night-shift, and anthropometric measurements (body weight and height) was applied. The scores of the Planetary Health Diet Index (PHDI) and the Healthy Eating Index 2020 (HEI-2020) were calculated according to the dietary records. The total HEI-2020 and PHDI scores decreased significantly (p < 0.05) during the night shift (44.0 ± 8.8 and 48.3 ± 13.2, respectively) compared to pre-night-shift (46.1 ± 9.2 and 51.9 ± 13.4, respectively) and increased post-night-shift (44.7 ± 9.9 and 50.6 ± 14.9, respectively), with no statistically significant difference between pre- and post-night-shift. There was a significant main effect of night shift working on total PHDI (F(896, 2) = 8.208, p < 0.001, ηp2 = 0.018) and HEI-2020 scores (F(894, 2) = 6.277, p = 0.002, ηp2 = 0.014). Despite healthcare workers\' knowledge of health factors, night shifts lead to poor dietary choices. To improve diet quality and sustainability, it is crucial to enhance access to healthy food options in their work environment.

OBJECTIVE: The objective was to study the effect of serial night shifts on the cognitive, psychomotor, and moral performance of emergency medicine residents of an academic Emergency Medicine Department.
METHODS: This prospective case-crossover study compared emergency medicine residents\' sleep time, subjective sleepiness, cognitive function, moral judgment, and psychomotor skills after 5 consecutive days versus night shifts using sleep diaries, activity monitors, and multiple performance tests. Paired t-tests and Wilcoxon signed-rank tests were used to analyze data based on normality. Correlation analysis was done using Spearman\'s correlation test. Subgroup analysis was also performed to find any difference based on gender and year of residency.
RESULTS: Twenty-seven emergency medicine residents participated (13 males, 48.1%). The distribution across residency years was as follows: 44.4% in their first year, 25.9% in their second year, and 29.6% in their third year. Following five consecutive night shifts, total sleep duration decreased significantly from 338.1 ± 67.8 to 307.4 ± 71.0 min (p < 0.001), while subjective sleepiness scores increased from 9.6 ± 3.3 to 13.6 ± 4.6. Psychomotor performance and reaction times did not significantly differ between night and day shifts. However, working memory declined, assessed by self-paced three-back test scores (median [IQR] 517.1 [471.9-546.7] vs. 457.6 [334.4-508.8]; p = 0.034) and interference test scores (445.5 ± 59.9 vs. 407.2 ± 56.8; p < 0.001), along with moral judgment (median [IQR] 19 [18-28] vs. 15 [11-21]; p = 0.010) after serial night shifts. No correlations existed between performance measures nor differences based on gender or residency year.
CONCLUSIONS: Residents sleep less following night versus day shifts, reporting the highest sleepiness levels after 5 consecutive nights. Despite this, psychomotor performance and reaction times did not significantly differ. However, considerable reductions occurred in moral judgment, working memory, and interference test performance after serial night shifts.

This study aimed to determine changes in energy and nutrient intakes over three consecutive days, including the day of the shift, and the days before and after the shift, in healthcare workers working in a 24 h shift system. This study is an observational follow-up study conducted with a total of 500 volunteer healthcare professionals. Food consumption records were taken over 3 consecutive days: pre-shift (off day), shift day (24 h shift), and post-shift (off day). Mean daily intakes of energy, carbohydrate, protein, fat, saturated fat, caffeine, vitamins B1, B2, niacin, B6, folate, and B12, potassium, magnesium, phosphorus, iron, and zinc are listed from highest to lowest as shift day > pre-shift > post-shift (p < 0.05 for all pairwise comparisons). While fiber, vitamin C, and calcium intakes were similar on the shift day and pre-shift day, they were significantly lower on the post-shift day (p < 0.05). The lowest dietary reference intake percentages on the post-shift day were calcium, fiber, and folate, respectively. In the present study, significant differences were detected in the energy, micronutrient-intake, and macronutrient-intake levels between the pre-shift day, shift day, and post-shift day of healthcare workers. Awareness should be increased regarding the decreased nutrient intake seen especially on the first day after a 24 h shift, and appropriate precautions should be taken to increase calcium, fiber, and folate intake levels.

Chronic disruption of circadian rhythms by night shift work is associated with an increased breast cancer risk. However, little is known about the impact of night shift on peripheral circadian genes (CGs) and circadian-controlled genes (CCGs) associated with breast cancer. Hence, we assessed central clock markers (melatonin and cortisol) in plasma, and peripheral CGs (PER1, PER2, PER3, and BMAL1) and CCGs (ESR1 and ESR2) in peripheral blood mononuclear cells (PBMCs). In day shift nurses (n = 12), 24-h rhythms of cortisol and melatonin were aligned with day shift-oriented light/dark schedules. The mRNA expression of PER2, PER3, BMAL1, and ESR2 showed 24-h rhythms with peak values in the morning. In contrast, night shift nurses (n = 10) lost 24-h rhythmicity of cortisol with a suppressed morning surge but retained normal rhythmic patterns of melatonin, leading to misalignment between cortisol and melatonin. Moreover, night shift nurses showed disruption of rhythmic expressions of PER2, PER3, BMAL1, and ESR2 genes, resulting in an impaired inverse correlation between PER2 and BMAL1 compared to day shift nurses. The observed trends of disrupted circadian markers were recapitulated in additional day (n = 20) and night (n = 19) shift nurses by measurement at early night and midnight time points. Taken together, this study demonstrated the misalignment of cortisol and melatonin, associated disruption of PER2 and ESR2 circadian expressions, and internal misalignment in peripheral circadian network in night shift nurses. Morning plasma cortisol and PER2, BMAL1, and ESR2 expressions in PBMCs may therefore be useful biomarkers of circadian disruption in shift workers.

BACKGROUND: The association between shift/night work and the risk of stroke is not supported by strong evidence.
OBJECTIVE: This study aimed to obtain evidence of a potential relationship between shift/night shift work and the risk of stroke.
METHODS: We searched PubMed, Embase, the Cochrane Library and Web of science databases for eligible studies from inception to January 19, 2024. We followed the statement in the Preferred Reporting Items for Systematic Evaluations and Meta-Analysis (PRISMA). STATA 14.0 software was used for meta-analysis.
RESULTS: A total of five studies involving 700,742 subjects were included in this meta-analysis. We found that shift/night workers had a 1.08 times higher risk of stroke than non-shift/night workers (RR: 1.08; 95 % CI: 1.05-1.10; P < 0.001).
CONCLUSIONS: Shift/night work may be a risk factor for stroke. More objective prospective studies are needed to further support this result.

The occupational health issues of shift workers has received increasing attention in the field of occupational health, and discussed in this article through literature review on the health risks and management of shift work both domestically and internationally. Based on this, a series of impacts of shift work on the physiological and psychological health of workers, as well as their family and social life, are revealed. Combined with relatively mature regulations and policies in foreign countries, it is proposed that China should fully learn from the relevant experience of health management in shift work abroad, Strengthen research and explore effective management intervention measures to provide ideas for accelerating the development of scientifically feasible regulations and policies related to occupational health in shift work in China.
轮班作业人员的职业健康问题受到职业健康领域日益关注，本文对国内外有关轮班作业的健康风险及管理研究开展文献探讨，在此基础上讨论了轮班作业对作业人员的生理、心理健康以及家庭、社会生活造成的一系列影响，结合国外相对成熟的法规政策，并充分借鉴国外轮班作业健康管理相关经验，加强研究和探索有效的管理干预措施，为加快推进我国制定科学可行的轮班作业职业健康相关法规政策提供思路。.

OBJECTIVE: This study aimed to determine the peak hours of sleepiness and the factors affecting the sleepiness levels of nurses.
BACKGROUND: Sleepiness is commonly seen in individuals working night shifts. However, in case of nurses, this sleepiness can be a major threat to patient and staff safety.
METHODS: This was a prospective cross-sectional study. Data were collected between July and September 2023, and a stratified sampling method was used according to the departments in which the nurses worked. Data were collected using the Personal Information Form and Visual Analog Scale. Nurses reported their sleepiness levels at the beginning of each hour between midnight and 8:00 am.
UNASSIGNED: The study adhered to the STROBE checklist for reporting.
RESULTS: The mean sleepiness levels of emergency department nurses, intensive care nurses, internal or surgical clinic nurses, and all nurses were 59.75 ± 15.50, 43.53 ± 20.49, 44.67 ± 18.88, and 49.15 ± 19.67, respectively. The highest sleepiness level of the nurses was at 05:00 am. A significant correlation was found between the variables of age, gender, marital status, sleep quality, number of patients cared, working style and satisfaction with working in the department, and sleepiness level (P < 0.05).
CONCLUSIONS: Nurses working night shifts experience sleepiness (highest at 5:00 am). In addition, the sleepiness levels of nurses are affected by some personal and clinical factors.
CONCLUSIONS: Based on the results, there is a need for necessary policies regarding nurses\' working hours and working conditions. To protect patient and employee safety, necessary strategies should be devised regarding the hours when nurses experience the highest sleepiness and the factors affecting sleepiness levels.

OBJECTIVE: Whether chronotype affects the health outcomes of night shift work populations is unknown. This study aimed to assess the influence of different chronotypes in the rotating night shift population on sleep status, mood, blood pressure (BP), and heart rate variability (HRV), as well as the circadian rhythm of BP and HRV.
METHODS: A total of 208 rotating night shift workers were included. All participants completed structured questionnaires to assess chronotype, mood and sleep status. During their daily lives outside of the night shift, they underwent 24-hour Holter electrocardiogram monitoring and 24-hour ambulatory blood pressure monitoring. Day-time and night-time BP and BP dipping were obtained. Day-time and night-time HRV values (SDNN, RMSSD, LF, HF, LF nu, SD1, SD2 and SD2/SD1) were calculated and fitted to the cosine period curve. Three circandian parameters (mesor, amplitude and acrophase) were extracted to quantify the circadian rhythm of the HRV indices.
RESULTS: Among all three groups, E-type showed more fatigue and sleepiness. In addition, E-type showed blunted diastolic BP dipping. Notably, E-type showed association with higher RMSSD, LF, HF and SD1 in the night time, and higher mesors of RMSSD and LF and amplitude of SD2/SD1 in circadian analysis.
CONCLUSIONS: Chronotype is a factor affecting fatigue, sleepiness and cardiovascular circadian rhythms of rotating night shift workers. Chronotype should be taken into consideration for managing night-shift rotation to promote occupational health.