INTRODUCTION: Workplace safety and health are interrelated - a worker who is not healthy may cause safety lapses at the workplace; conversely, safety lapses could affect the health of the workers. This study was part of a larger Total Workplace Safety and Health (WSH) programme run by the Workplace Safety and Health Council, Singapore. The objectives were to obtain a baseline health profile of workers across four major industries and identify important health risks for targeted workplace interventions. METHODS: Five service providers (SPs) were appointed to run the Total WSH programme. As part of the programme, SPs conducted an anonymous basic health survey among workers of participating companies. RESULTS: The responses of 6,373 respondents from the cleaning, construction, manufacturing, and transport and storage industries were studied. The overall response rate was 62%. Key health issues identified were high rates of obesity (22%) and smoking (24%) and low prevalence of regular exercise and healthy dietary habits. Chronic disease rates were similar to population self-reported rates (hypertension 15%, high lipid 12% and diabetes mellitus 6%). The workers reported high work stress (13%). CONCLUSION Health issues are prevalent in the workforce and may affect work and employee safety. It is increasingly important for employees' health to be considered in risk assessments and prioritised in workplace safety and health management systems and strategies. Health promotion interventions should be targeted, and multilevel and multicomponent initiatives should be integrated with pre-existing occupational safety programmes.
Humans ; Singapore/epidemiology* ; Occupational Health ; Male ; Female ; Adult ; Middle Aged ; Industry ; Workplace ; Health Surveys ; Surveys and Questionnaires ; Smoking/epidemiology* ; Obesity/epidemiology* ; Health Status ; Occupational Stress/epidemiology* ; Young Adult

OBJECTIVES: Anxiety is a common negative emotion. Under current social circumstances, university young teachers face multiple stressors and are more prone to anxiety, seriously threatening their physical and mental health. This study aims to investigate the impact of job insecurity on anxiety of university young teachers, while exploring the mediating roles of perceived stress and insomnia on this relationship. METHODS: Using convenience sampling, young teachers from a general university in a Chinese province were surveyed online. Scores of the Job Insecurity Scale, Perceived Stress Scale, Athens Insomnia Scale-Short Form, and Generalized Anxiety Disorder Scale were collected. A chain mediation analysis was conducted using the PROCESS macro. RESULTS: A total of 798 subjects were finally included. The detection rate of anxiety among university young teachers was 36.47%. Mediation analysis showed that job insecurity not only had a direct effect on anxiety, but also indirectly affected anxiety via perceived stress (46.42% of the total effect) and insomnia (7.45%), as well as through the chain-mediating path of perceived stress→ insomnia (13.18%; all P<0.05). CONCLUSIONS Job insecurity is a significant predictor of anxiety in young university faculty. Perceived stress and insomnia serve as sequential mediators in this relationship. Targeted interventions addressing job insecurity, stress perception, and sleep disturbances, alongside efforts to improve mental health literacy and the working environment, may help promote the overall well-being of university young teachers.
Humans ; Sleep Initiation and Maintenance Disorders/epidemiology* ; Universities ; Female ; Anxiety/psychology* ; Male ; Stress, Psychological/psychology* ; Adult ; Faculty/psychology* ; Surveys and Questionnaires ; China/epidemiology* ; Occupational Stress ; Job Security

Objective: To explore the current situation of work stress among nursing staff in Tianjin City and analyze its influencing factors. Methods: From August to October 2020, 26002 nursing staff from tertiary hospitals, secondary public hospitals, secondary private hospitals, primary hospitals, and other medical institutions in Tianjin City were selected as objects, and their general situation and working stress situation were surveyed by the general information questionnaire and the Nurse's Work Stressor Scale. Single factor analysis and multiple linear regression analysis were used to explore the influencing factors of work stress among nursing staff. Results: The average age of 26002 nursing staff was (33.86±8.28) years old, and the average working years were (11.84±9.12) years. There were 24874 women (95.66%) and 1128 men (4.34%). The total score of work stress was (79.82±21.69), and the average score of workload and time allocation dimension was the highest (2.55±0.79). The results of multiple linear regression analysis showed that marital status (β=-0.015, P=0.014), employment form as contract system (β=0.022, P=0.001), post as clinical nursing (β=0.048, P<0.001), education level (β=0.024, P<0.001), age (β=0.050, P<0.001), working years (β=0.075, P<0.001), and professional title (β=0.036, P<0.001) were the influencing factors of work stress, which explained 22.8% of the total variation in work stress of nursing staff (F=24.25, P<0.001) . Conclusion: The work stress among nursing staff in Tianjin City is high, the corresponding departments and nursing managers should adopt scientific management methods to reduce the workload of nursing staff according to the influencing factors of work stress, so as to create a good atmosphere for further promoting the healthy development of nursing career and nursing industry in the new era.
Male ; Humans ; Female ; Adult ; Occupational Stress/epidemiology* ; Nursing Staff ; Tertiary Care Centers ; Surveys and Questionnaires ; Employment

Objective: To investigate the functional somatic discomfort status, and to analyze the effect of job stress, hostile attribution bias and ego depletion on functional somatic discomfort in clinical nurses. Methods: In May 2019, 10 cities in Henan Province and Fujian Province were randomly selected as sampling cities. Using the stratified cluster sampling method, nurses of clinical nursing posts in 22 third class hospitals and 23 second class hospitals were selected as the research objects. The general information, job stress, hostile attribution bias, ego depletion and functional somatic discomfort of clinical nurses were investigated by self-designed general information questionnaire, Perceived Stress Scale, Social Information Processing-attribution Bias Questionnaire, Self-regulatory Fatigue Scale, Patient Health Questionnaire-15. 1200 clinical nurses included, and a total of 1159 valid questionnaires were collected, the effective rate of questionnaire collection was 96.6%. The t test was used to compare the difference of the functional somatic discomfort scores of clinical nurses with different demographic characteristicst. The influence of job stress, hostile attribution bias and ego depletion on functional somatic discomfort of clinical nurses were analyzed with Bootstrap. Results: The functional somatic discomfort score of clinical nurses was (8.95±4.38), of which 859 (74.12%) had functional somatic discomfort symptom. The functional somatic discomfort score of clinical nurses aged 36-50 years old was higher than that of 19-35 years old, the functional somatic discomfort score of clinical nurses with service age ≥5 years was higher than that of <5 years, the functional somatic discomfort score of non-permanent clinical nurses was higher than that of permanent clinical nurses, the functional somatic discomfort score of clinical nurses in tertiary hospitals was higher than that of secondary hospitals, the functional somatic discomfort score of clinical nurses in surgical departments were higher than those in non-surgical departments, and the differences were statistically significant (P<0.05). Job stress affected functional somatic discomfort through the single mediating role of hostile attribution bias, the single mediating role of ego depletion, and the chain mediating role of hostile attribution bias and ego depletion (β=0.17, 95%CI: 0.10-0.20; β=0.16, 95%CI: 0.10-0.20; β=0.07, 95%CI: 0.03-0.10; P<0.05) . Conclusion: The functional somatic discomfort symptoms of clinical nurses are significant and varied among different age, working age, employment form, hospital grade and department groups. They are affected by work stress directly and through the separate mediating effect of hostile attribution bias and ego depletion, and the chain mediating effect of hostile attribution bias and ego depletion.
Humans ; Adult ; Middle Aged ; Child, Preschool ; Young Adult ; Hostility ; Occupational Stress/epidemiology* ; Surveys and Questionnaires ; Tertiary Care Centers ; Nurses

Objective: To investigate the occupational stress status of air traffic controllers (ATC) and analyze its influencing factors. Methods: By using cluster sampling method, 457 ATCs in an air traffic management bureau were selected as the investigation objects. The job content questionnaire (JCQ) and the effort reward imbalance questionnaire (ERI) were used to measure work requirements independent imbalance type and ERI type occupational stress separately and analyze the influencing factors. Results: Of the 457 ATCs, 81.84% (374/457) ATGs had work requirements independent imbalance type of occupational stress and 84.46% (386/457) ATGs had ERI type occupational stress. Univariate analysis showed that the factors of marital status, degree of education, age, length of service, title, job post, family monthly income, views on regular training, occurrence of emergency or unsafe events in last month and monthly night shift frequency had various degrees of influence on the different factor scores of JCQ and ERI (P<0.01) . Logistic regression analysis showed that the level of JCQ type occupational stress of ATCs with junior titles and probationers was higher than those of intermediate/senior titles (P=0.000, 0.000) ; The ERI type occupational stress of probationers and junior titles ATCs was lower than those with intermediate/senior titles (P=0.000) . The ERI and JCQ type occupational stress level of tower post ATCs was higher than that of other two job post ATCs (P=0.001, 0.000, 0.000, 0.000) . The ATCs considering regular training had more disadvantages than advantages showed lower ERI type occupational stress level than those considering more advantages than disadvantages (P=0.000) . The ERI type occupational stress level of ATCs who experienced emergency or unsafe events in last month was higher than those who didn't (P=0.007) . Conclusion: A large proportion of ATCs had occupational stress. Management should adjust its policies and pay were attention to occupational stress of ATLs.
Cross-Sectional Studies ; Employment ; Humans ; Job Satisfaction ; Occupational Stress/epidemiology* ; Reward ; Stress, Psychological/epidemiology* ; Surveys and Questionnaires

Objective: To investigate the sleep quality of video operators in Shenzhen, and explore the relationship between sleep quality and occupational stress and different work and life habits. Methods: In December 2020, a cluster sampling method was used to investigate 791 video operators in Shenzhen from June to December 2020 who were engaged in printing, design, IT and other industries. The Pittsburgh Sleep Quality Index Scale was used to investigate the sleep quality of video operators, and the Job Content Questionnaire was used to investigate the occupational stress of video operators, The Pay Return Imbalance Questionnaire was used to investigate the pay return imbalance of video operators. The measurement data conforming to the normal distribution shall be expressed by mean±standard deviation, and t-test, analysis of variance and linear correlation analysis shall be adopted according to the type of independent variable. Those that do not conform to the normal distribution are described by the median M (Q(1), Q(3)), and two sample Wilcoxon test is used according to the binary data of independent variable type. Kruskal Wallis test was used for multi classification data, and Spearman rank correlation was used for single factor analysis for ordinal classification data. The counting data were analyzed by chi square test or Fisher exact probability method. Logistic regression was used for multivariate analysis. Results: the pittsburgh sleep quality index was 4.76±2.86. 499 of them had high sleep quality. 292 people had low sleep quality, accounting for 36.91% (292/791). Compared with the low sleep quality group, the high sleep quality group had lower work requirement scores (13.48±1.77), higher autonomy scores (24.08±3.33), higher social support scores (23.95±3.08), lower pay scores (16.11±2.63), higher return scores (31.11±3.65), and lower internal input scores (14.98±2.55). There were statistically significant differences between the two scales in each dimension index group (P<0.05). Multi factor unconditional logistic regression analysis showed that high education level (OR=1.57, 95%CI=1.26~1.98, P<0.05), occupational stress (OR=1.69, 95%CI=1.21~2.36, P<0.05), and high pay and low return (OR=1.41, 95%CI=1.01~1.96, P<0.05) were the main influencing factors of sleep quality. Conclusion: The occurrence of occupational stress in video operators is a risk factor for low sleep quality, which should be paid enough attention.
Humans ; Stress, Psychological/epidemiology* ; Computer Terminals ; Sleep Quality ; Cross-Sectional Studies ; Occupational Stress/epidemiology* ; Surveys and Questionnaires

Objective: To explore the mediating effect of job burnout of nursing staff in clinical departments on occupational stress and anxiety, and to provide scientific basis for the formulation of intervention measures to relieve anxiety. Methods: From November 2020 to January 2021, a cross-sectional survey was conducted to investigate the basic situation, occupational stress, job burnout and anxiety of 653 nursing staff in a third class A general hospital in Hebei Province. Spearman rank correlation was used to analyze the relationship between occupational stress, job burnout and anxiety, stepwise regression and mediating effect model were used to verify the mediating effect of job burnout on the relationship between occupational stress and anxiety. Results: 551 valid questionnaires were collected with effective recovery of 84.38%. The incidence of high occupational stress was 68.06% (375/551) , the incidence of job burnout was 63.70% (351/551) [high, moderate and moderate were 11.07% (61/551) and 52.63% (290/551) respectively], and the incidence of anxiety was 55.72% (307/551) [mild, moderate and severe were 38.11% (210/551) , 8.53% (47/551) and 9.08% (50/551) respectively]. Occupational stress was positively correlated with job burnout and anxiety (r=0.545, 0.479) , and job burnout was positively correlated with anxiety (r=0.542, P<0.05) . The mediating effect analysis showed that occupational stress had a statistically significant effect on anxiety (c=0.509, P<0.001) , and the mediating effect of job burnout on the relationship between occupational stress and anxiety accounted for 44.99% of the total effect. Conclusion: The anxiety level of the nursing staff in this third-class A general hospital was relatively high. Job burnout has a mediating effect between occupational stress and anxiety, and anxiety of nursing staff can be alleviated by reducing occupational stress or job burnout.
Anxiety/epidemiology* ; Burnout, Professional/epidemiology* ; Cross-Sectional Studies ; Hospitals, General ; Humans ; Job Satisfaction ; Nursing Staff ; Occupational Stress/epidemiology* ; Surveys and Questionnaires

Objective: To explore the influential factors of job stress suffered by workers in railway stations, the level of job stress of were measured and subjective comfort of employees targeting to working environment were reported. Methods: In March 2019, a cluster sampling study was designed to collect the personal characteristics, job characteristics and subjective comfort degree of working environment of 432 employees in Chongqing railway stations. Meanwhile, job stress was assessed using the effort-reward imbalance scale. Chi-square test was used to compare the difference of occupational stress detection rate among different stratified factors such as occupational characteristics. Logistic regression was applied to analyze the influential factors of occupational stress. Results: The detection rate of job stress of workers in the railway stations was 31.02% (134/432) . The detection rate of job stress was higher among the divorced workers in railway stations, those earning less than 5, 000 yuan per month, those with 10-20 years' length of service, those who worked as a conductor and other workers including baggageman, station master on duty and assistant engineer (χ(2)=9.61, 14.76, 23.28, 11.06, P=0.008, 0.002, 0.000, 0.011) . The detection rate of job stress was higher among those whose working environment subjective feelings were uncomfortable, the differences were statistically significant (P<0.001) . The results showed that the occupational stress of the staff in the railway stations was influenced by their subjective feeling of air quality, noise and Space Layout (P<0.05) . The risk factors of occupational stress were air quality, noise and uncomfortable space layout (OR=0.571, 0.068, 0.441, P=0.051, 0.054, 0.007) . Conductor, other (Bellboy, Duty Station Master, assistant engineer) were the risk factors of occupational stress (OR=1.884, 2.703, P=0.065, 0.019) . The employees of station A and station B were the risk factors of occupational stress (OR=4.681, 1.811, P=0.002, 0.067) . Conclusion: The higher detection rate of job stress of workers in the railway stations is correlated with the subjective comfort degree of the working environment of the workers.
Cross-Sectional Studies ; Humans ; Job Satisfaction ; Occupational Stress/epidemiology* ; Stress, Psychological ; Surveys and Questionnaires ; Workplace

Cross-Sectional Studies ; Depression/epidemiology* ; Humans ; Job Satisfaction ; Occupational Stress/epidemiology* ; Oil and Gas Fields ; Stress, Psychological ; Surveys and Questionnaires

INTRODUCTION: Frontline healthcare workers (HCWs) exposed to coronavirus disease 2019 (COVID-19) are at risk of psychological distress. This study evaluates the psychological impact of COVID-19 pandemic on HCWs in a national paediatric referral centre. METHODS: This was a survey-based study that collected demographic, work environment and mental health data from paediatric HCWs in the emergency, intensive care and infectious disease units. Psychological impact was measured using the Depression, Anxiety, Stress Scale-21. Multivariate regression analysis was performed to identify risk factors associated with psychological distress. RESULTS: The survey achieved a response rate of 93.9% (430 of 458). Of the 430 respondents, symptoms of depression, anxiety and stress were reported in 168 (39.1%), 205 (47.7%) and 106 (24.7%), respectively. Depression was reported in the mild (47, 10.9%), moderate (76, 17.7%), severe (23, 5.3%) and extremely severe (22, 5.1%) categories. Anxiety (205, 47.7%) and stress (106, 24.7%) were reported in the mild category only. Collectively, regression analysis identified female sex, a perceived lack of choice in work scope/environment, lack of protection from COVID-19, lack of access to physical activities and rest, the need to perform additional tasks, and the experience of stigma from the community as risk factors for poor psychological outcome. CONCLUSION A high prevalence of depression, anxiety and stress was reported among frontline paediatric HCWs during the COVID-19 pandemic. Personal psychoneuroimmunity and organisational prevention measures can be implemented to lessen psychiatric symptoms. At the national level, involving mental health professionals to plan and coordinate psychological intervention for the country should be considered.
Adult ; Anxiety/etiology* ; COVID-19/psychology* ; Depression/etiology* ; Female ; Health Surveys ; Hospitals, Pediatric ; Humans ; Logistic Models ; Male ; Middle Aged ; Multivariate Analysis ; Occupational Diseases/etiology* ; Pandemics ; Personnel, Hospital/psychology* ; Prevalence ; Risk Factors ; Self Report ; Severity of Illness Index ; Singapore/epidemiology* ; Stress, Psychological/etiology*