Humans ; Neoplasms ; epidemiology ; etiology ; Work Schedule Tolerance

Accidents, Occupational ; Humans ; Work Schedule Tolerance

Cardiovascular disease is a class of diseases involving the heart or blood vessels, which accounts for about one-third of all deaths worldwide each year. Unhealthy diet, lack of physical activity, smoking and excessive alcohol consumption are all risk factors for cardiovascular disease. With the increasing number of night shift workers, the number of patients with cardiovascular disease has increased, and night shift work has gradually become a risk factor of cardiovascular disease. At present, the mechanism of cardiovascular disease caused by night shift work is still unclear. This review summarizes the relationship between night shift work and cardiovascular disease and its related biochemical indicators, and discusses the research on related mechanisms.
Humans ; Shift Work Schedule/adverse effects* ; Work Schedule Tolerance ; Cardiovascular Diseases ; Risk Factors ; Smoking

No abstract available.
Sleep ; Work Schedule Tolerance ; Metabolic Syndrome X ; Occupational Diseases ; Health Behavior ; Obesity ; Nutrition Surveys

Humans ; Mining ; Noise, Occupational ; statistics & numerical data ; Occupational Exposure ; statistics & numerical data ; Work Schedule Tolerance

PURPOSE: This study aimed to explore personal as well as occupational factors and health status associated with work-life balance in Korean registered nurses. METHODS: This study was a secondary data analysis using cross-sectional nationally representative data from the Korean Working Conditions Survey (KWCS) in 2014. Study participants included 450 registered nurses in South Korea. Descriptive analysis, Independent t-test, χ² test, and Logistic regression analyses were performed using the SPSS 21.0 statistical program. RESULTS: Work-life balance was reported in 70.6% individuals with 85.7% being male and 70.0% being female nurses. Logistic regression analysis revealed that being male good health state, having less than 40-hour working week, lower number of night duty, policy on flexible work arrangement were significant predictors of work-life balance. CONCLUSION: This study provided evidence that identify predictors of work-life balance in registered nurses in South Korea. Therefore, we need the actively support health care service promotion and prevention for work-life balance predictors.
Delivery of Health Care ; Female ; Humans ; Korea ; Logistic Models ; Male ; Nurses* ; Statistics as Topic ; Work Schedule Tolerance

PURPOSE: The purpose of this study was to identify the factors affecting shiftwork tolerance among nurses and provide basic data, ultimately, in formulating a plan for improving their shiftwork tolerance. METHODS: The participants were 317 nurses who were working at three general hospitals in Daejeon and Seoul. Data analyzed t-test, ANOVA, correlation analysis, and regression analysis using SPSS 20.0 program. RESULTS: As for the sub-areas of shiftwork tolerance for the respondents, more than a half of nurses working at shifts suffered from insomnia, felt drowsy, complained of chronic fatigue, and were at the anxious and depressed state. Shiftwork tolerance differed by the daily intake of coffee and exercise. Shiftwork tolerance was significantly positively correlated with sleep-wake habits, hardiness, and flexibility and negatively correlated with a languidity. Regression analysis revealed that shiftwork tolerance was affected by age, sleep-wake habits, languidity, flexibility, and hardiness. CONCLUSION: To put the results, nurses had shiftwork tolerance affected by sleep-wake habits, languidity, and hardiness. It is therefore necessary to make a scheme for allowing nurses to improve hardiness and flexibility and decrease the languidity with the objective of improving their shiftwork tolerance.
Circadian Rhythm ; Coffee ; Fatigue ; Hospitals, General ; Pliability ; Seoul ; Sleep Initiation and Maintenance Disorders ; Sleep Wake Disorders ; Surveys and Questionnaires ; Work Schedule Tolerance

OBJECTIVES: The objectives of this study were to explore the association between shift work and the bone mineral density in a representative sample of Korean workers. METHODS: He data from the Fourth Korean National Health and Nutrition Examination Survey (2008-2009) was used. The participants were Korean workers aged 16 to 60 years. Logistic regression analysis was applied to determine the association between shift work and the bone mineral density after controlling for covariates using the SAS version 9.3 package program. RESULTS: The blood vitamin D level in shift workers was significantly lower than that of day workers in both males and females. In male shift workers, shift work was significantly associated with a decreased bone mineral density in the femoral neck (odds ratio(OR) 1.42, 95% confidence interval(CI)=1.05~1.92) and lumbar spine (OR 1.53, 95% CI=1.09~2.15) compared to day workers. After controlling for covariates, this association was still significant. In the case of female shift workers, shift work was significantly related to a decreased bone mineral density in the total femur (OR 2.84, 95% CI=1.69~4.79) and lumbar spine (OR 1.58, 95% CI=1.12~2.24). After controlling for covariates, this risk was not statistically significant. CONCLUSIONS: The blood vitamin D level of shift workers was significantly lower than that of day workers. In male shift workers, shift work can decrease the bone mineral density in the femoral neck and lumbar spine. Prospective studies with information on the shift work intensity and duration and exposuredata to explain mechanisms will be needed.
Aged ; Bone Density ; Female ; Femur ; Femur Neck ; Humans ; Logistic Models ; Male ; Nutrition Surveys ; Phenothiazines ; Spine ; Vitamin D ; Work Schedule Tolerance

OBJECTIVETo explore the situation of quality of life (QOL) of nurses working in night shifts and the major factors influencing the QOL, and to provide scientific basis of the further effective intervention for the quality of life.

METHODSThe nurses working in night shift were sampled randomly in Grade 3A-hospitals of Tianjin, and investigated using WHO Quality of Life-BREF Scale.

RESULTSThree hundred eighty five questionnaires were collected from 398 questionnaires. The average score of subjective QOL perception was 2.90 (the full score is 5), subjective health perception was 2.64 (the full score is 5). The score of physical domain of QOL was 13.21 +/- 2.18; psychological domain of QOL was 13.38 +/- 2.28; social domain of QOL was 14.71 +/- 2.32; environmental domain of QOL was 11.36 +/- 2.31, all of which were significantly lower than norm value (P<0.01). The results analyzed by ordinal logistic regression showed that the factors affecting physical domain of QOL were years of working experience, sleep time, gastrointestinal disorders, family harmony status and regular diet; the factors affecting psychological domain of QOL were family harmony status and gastrointestinal disorders; the factors affecting social domain of QOL were the nature of nursing work and family harmony status; the factors affecting environmental domain of QOL were job title, sleep time, gastrointestinal disorders and regular diet.

CONCLUSIONThe QOL of nurses working in night shifts is lower than that of general people. The corresponding measures should be taken to raise the quality of life of nurses in night shifts.

Adult ; Female ; Humans ; Male ; Middle Aged ; Nurses ; psychology ; Quality of Life ; Surveys and Questionnaires ; Work Schedule Tolerance ; Young Adult

OBJECTIVETo investigate the relationship between work in shifts and occupational stress.

METHODSA total of 5338 employees from 13 companies were investigated by cluster sampling, and occupational stress measuring tools, job content questionnaire, and effort-reward imbalance questionnaire were used to investigate occupational stress factors, stress reaction, and the condition of work in shifts.

RESULTSThe employees who worked in shifts accounted for 46.6%. The condition of work in shifts varied significantly across different companies, employees with different individual features (including sex, job title, degree of education, age, working years, smoking, and drinking), and employees with different weekly working times(P<0.01 or P<0.05); health status was associated with work in shifts(P<0.01); compared with the employees who did not work in shifts, those who worked in shifts had significantly lower scores of technology utilization, work control level, psychological need, reward, social support, and job satisfaction(P<0.01 or P<0.05), as well as significantly higher scores of physical demands, effort, depressive symptoms, and negative affectivity(P<0.01).

CONCLUSIONWork in shifts can affect health status, and is associated with occupational stress.

Depression ; Health Status ; Humans ; Job Satisfaction ; Occupational Diseases ; epidemiology ; Smoking ; Social Support ; Stress, Psychological ; Surveys and Questionnaires ; Work Schedule Tolerance