scholarly journals Job satisfaction and mental health of Palestinian nurses with shift work: a cross-sectional study

The Lancet ◽  
2018 ◽  
Vol 391 ◽  
pp. S50 ◽  
Author(s):  
Yousef Jaradat ◽  
Morten Birkeland Nielsen ◽  
Petter Kristensen ◽  
Rita Bast-Pettersen
Keyword(s):  
Mental Health ◽  
Job Satisfaction ◽  
Shift Work ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

Association of shift work with depression and anxiety in middle-aged adults: a large cross-sectional study among Iranian industrial manufacturing employees

2020 ◽  
Vol 19 (4) ◽  
pp. 291-300
Author(s):  
Zeinab Alizadeh ◽  
Hamidreza Roohafza ◽  
Awat Feizi ◽  
Nizal Sarrafzadegan
Keyword(s):  
Mental Health ◽  
Shift Work ◽  
Short Form ◽  
Depression Scale ◽  
Cross Sectional Study ◽  
Depression And Anxiety ◽  
Sectional Study ◽  
Steel Company ◽  
Cross Sectional ◽  
Content Type

Purpose This study aimed to examine the association of shift work with depression and anxiety in a large sample of formal and contractual employees of a mill steel company, Isfahan, Iran. Design/methodology/approach This cross-sectional study was performed in 2014 among 3,060 formal and contractual employees of a mill steel company Isfahan, Iran, randomly selected from 16,000 people. Data gathering was done by some validated Iranian version of self-administered questionnaires including, International Physical Activity – Short Form, Effort–Reward Imbalance, Hospital Anxiety and Depression Scale. Logistic regression was used as the main statistical method. Findings The results showed individuals in the rotating shift compared with day shift had a higher risk of depression (OR: 1.43; 95% CI: 1.12–1.84). Whereas after adjustment for various confounders, this relationship was not significant (OR: 1.19; 95% CI: 0.81–1.76). Anxiety was not associated with shift work, both in crude and adjusted models (OR: 1.08; 95% CI: 0.81–1.44) and (OR: 0.90; 95% CI: 0.67–1.19), respectively. Research limitations/implications Owing to the cross-sectional design of this study, cause–effect relationships could not be inferred from our findings. All the data used in the present analysis were collected by self-administered questionnaires. Practical implications Although our findings did not show significant association between shift work and mental health, further studies are suggested for obtaining informative data worldwide in this regard among workforce particularly among industrial employees. Originality/value Few studies have addressed the effects of shift work on mental health among industrial employees worldwide, and there is no study in developing countries.

scholarly journals Association for combined exposure to job strain, shift work on mental health among Chinese railway workers: a cross-sectional study

BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e037544
Author(s):  
Yu Jiang ◽  
Chuancheng Wu ◽  
Tianqi Hu ◽  
Meilong Chen ◽  
Wei Liu ◽  
...  
Keyword(s):  
Mental Health ◽  
Shift Work ◽  
Job Strain ◽  
Cross Sectional Study ◽  
Poor Mental Health ◽  
Sectional Study ◽  
Cross Sectional ◽  
Low Level ◽  
Railway Workers ◽  
Night Shifts

ObjectivesThe aim of this study was to assess the effects of coexposure to job strain and shift work on mental health in railway workers.DesignCross-sectional study.SettingOne Railway Bureau Group in China.ParticipantsA total of 1270 front-line railway workers.Outcome measuresThe Symptom Checklist-90-Revised questionnaire was used to measure general mental health. Job strain variables were derived from the Job Content Questionnaire. Based on the records of the work schedule 3 months prior to the survey, the following three shift types were identified: fixed day, fixed night and rotating night shifts. Risks associated with mental health were assessed by carrying out logistic regression analysis which was adjusted for age, job tenure, smoking and exercise. Additionally, a crossover analysis was employed for the combined effects.ResultsHigh levels of job strain were linked to a higher risk of poor mental health (OR=1.53, 95% CI: 1.10 to 2.11). After adjusting for confounding factors, night shifts and rotating night shifts were significant risk factors for mental health (OR=2.21, 95% CI: 1.60 to 3.07; OR=2.36, 95% CI: 1.73 to 3.22). Compared with participants who experienced a low level of job strain and day shifts, those with a high level of job strain and who worked rotating shifts were at the highest risk of poor mental health (OR=4.68, 95% CI: 2.91 to 8.04), whereas the influence of a low level of job strain and rotating night shifts was not statistically significant.ConclusionJob strain and night shifts among workers were associated, both independently and in combination, with an increased risk of poor mental health. Our data suggest that job strain contributes to the risk of poor mental health by means of a combined effect with shift work.

scholarly journals Prolonged Stress Causes Depression in Frontline Workers Facing the COVID-19 Pandemic—A Repeated Cross-Sectional Study in a COVID-19 Hub-Hospital in Central Italy

2021 ◽  
Vol 18 (14) ◽  
pp. 7316
Author(s):  
Nicola Magnavita ◽  
Paolo Maurizio Soave ◽  
Massimo Antonelli
Keyword(s):  
Mental Health ◽  
Job Satisfaction ◽  
Occupational Stress ◽  
Central Italy ◽  
Intention To Leave ◽  
Cross Sectional Study ◽  
Baseline Survey ◽  
Sectional Study ◽  
Online Questionnaire ◽  
Cross Sectional

The COVID-19 pandemic has severely tested the mental health of frontline health care workers. A repeated cross-sectional study can provide information on how their mental health evolved during the various phases of the pandemic. The intensivists of a COVID-19 hub hospital in Rome were investigated with a baseline survey during the first wave of the pandemic in April 2020, and they were contacted again in December 2020, during the second wave. Of the 205 eligible workers, 152 responded to an online questionnaire designed to measure procedural justice, occupational stress (effort/reward imbalance), sleep quality, anxiety, depression, burnout, job satisfaction, happiness, and turnover intention. Workers reported a further increase in workload and compassion fatigue, which had already risen during the first wave, and a marked reduction in the time devoted to meditation and mental activities. A low level of confidence in the adequacy of safety procedures and the need to work in isolation, together with an increased workload and lack of time for meditation, were the most significant predictors of occupational stress in a stepwise linear regression model. Occupational stress was, in turn, a significant predictor of insomnia, anxiety, low job satisfaction, burnout, and intention to leave the hospital. The number of workers manifesting symptoms of depression increased significantly to exceed 60%. Action to prevent occupational risks and enhance individual resilience cannot be postponed.

scholarly journals Prolonged Stress Causes Depression in Frontline Workers Facing the COVID-19 Pandemic. A Repeated Cross-Sectional Study

2021 ◽  
Author(s):  
Nicola Magnavita ◽  
Paolo Maurizio Soave ◽  
Massimo Antonelli
Keyword(s):  
Mental Health ◽  
Job Satisfaction ◽  
Occupational Stress ◽  
Compassion Fatigue ◽  
Intention To Leave ◽  
Cross Sectional Study ◽  
Baseline Survey ◽  
Sectional Study ◽  
Online Questionnaire ◽  
Cross Sectional

The Covid-19 pandemic has severely tested the mental health of frontline health care workers. A repeated cross-sectional study can provide information on how their mental health evolved during the various phases of the pandemic. The intensivists of a COVID-19 hub hospital in Rome were investigated with a baseline survey during the first wave of the pandemic in April 2020 and were contacted again in December 2020, during the second wave. 152 of the 205 eligible workers responded to an online questionnaire designed to measure procedural justice, occupational stress (effort/reward imbalance), sleep quality, anxiety, depression, burnout, job satisfaction, happiness, and turnover intention. Workers reported a further increase in workload and compassion fatigue, which had already risen during the first wave, and a marked reduction in the time devoted to meditation and mental activities. A low level of confidence in the adequacy of safety procedures and the need to work in isolation, together with an increased workload and lack of time for meditation were the most significant predictors of occupational stress in a stepwise linear regression model. Occupational stress was, in turn, a significant predictor of insomnia, anxiety, low job satisfaction, burnout, and intention to leave the hospital. The number of workers manifesting symptoms of depression increased significantly to exceed 60%. Action to prevent occupational risks and enhance individual resilience cannot be postponed.

scholarly journals The relationship between shift work and mental health among electronics workers in South Korea: A cross-sectional study

PLoS ONE ◽  
2017 ◽  
Vol 12 (11) ◽  
pp. e0188019 ◽  
Author(s):  
Mo-Yeol Kang ◽  
Ho-Jang Kwon ◽  
Kyung-Hwa Choi ◽  
Chung-Won Kang ◽  
Hyunjoo Kim
Keyword(s):  
Mental Health ◽  
South Korea ◽  
Shift Work ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Electronics Workers ◽  
The Relationship

scholarly journals Tired, Worried and Burned Out, but Still Resilient: A Cross-Sectional Study of Mental Health Workers in the UK during the COVID-19 Pandemic

2021 ◽  
Vol 18 (9) ◽  
pp. 4457
Author(s):  
Sofia Pappa ◽  
Joshua Barnett ◽  
Ines Berges ◽  
Nikolaos Sakkas
Keyword(s):  
Mental Health ◽  
Emotional Exhaustion ◽  
Organizational Support ◽  
Sleep Problems ◽  
Health Workers ◽  
Maslach Burnout Inventory ◽  
Cross Sectional Study ◽  
Mental Health Workers ◽  
Sectional Study ◽  
Cross Sectional

The burden of the COVID-19 pandemic on health systems and the physical and mental health of healthcare workers (HCWs) has been substantial. This cross-sectional study aims to assess the effects of COVID-19 on the psychological wellbeing of mental health workers who provide care to a vulnerable patient population that have been particularly affected during this crisis. A total of 387 HCWs from across a large urban mental health service completed a self-administered questionnaire consisting of socio-demographic, lifestyle and work-based information and validated psychometric scales. Depression and anxiety were measured using the Patient Health Questionnaire (PHQ-9) and the Generalized Anxiety Disorder Scale (GAD-7), respectively; sleep problems with the Athens Insomnia Scale (AIS); burnout with the Maslach Burnout Inventory (MBI); and resilience with the Resilience Scale-14 (RS-14). Multivariable logistic regression analysis was performed to determine potential mediating factors. Prevalence of burnout was notable, with 52% recording moderate/severe in Emotional Exhaustion, 19.5% moderate/severe in Depersonalisation, and 55.5% low/moderate Personal Accomplishment. Over half of all respondents (52%) experienced sleep problems; the presence of depressive symptoms was a significant predictor of insomnia. An increase in potentially harmful lifestyle changes, such as smoking, alcohol consumption and overeating was also observed. However, high Resilience was reported by 70% of the samples and the importance of this is highlighted. Female gender was associated with increased levels of depression and emotional exhaustion while those with a history of mental health conditions were most at risk of affective symptoms, insomnia, and burnout. Overall, our study revealed considerable levels of psychological distress and maladaptive coping strategies but also resilience and satisfaction with organizational support provided. Findings can inform tailored interventions in order to mitigate vulnerability and prevent long-term psychological sequelae.

scholarly journals Psychosocial health of school-aged children during the initial COVID-19 safer-at-home school mandates in Florida: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sarah L. McKune ◽  
Daniel Acosta ◽  
Nick Diaz ◽  
Kaitlin Brittain ◽  
Diana Joyce- Beaulieu ◽  
...  
Keyword(s):  
Mental Health ◽  
Depressive Symptoms ◽  
Psychosocial Health ◽  
Cross Sectional Study ◽  
Home School ◽  
Sectional Study ◽  
Cross Sectional ◽  
School Aged Children ◽  
K 12 ◽  
At Home

Abstract Background Given the emerging literature regarding the impacts of lockdown measures on mental health, this study aims to describe the psychosocial health of school-aged children and adolescents during the COVID-19 Safer-at-Home School mandates. Methods A cross-sectional study was conducted in April 2020 (n = 280) among K-12 students at a research school in North Central Florida. Bivariate analysis and logistic and multinomial logistic regression models were used to examine socio-demographic and knowledge, attitude, and practice (KAP) predictors of indicators of anxiety-related, depressive, and obsessive-compulsive disorder(OCD)-related symptoms. Outcomes (anxiety, OCD, and depressive related symptoms) were measured by indices generated based on reported symptoms associated with each psychosocial outcome. Results Loss of household income was associated with increased risk for all three index-based outcomes: depressive symptoms [aOR = 3.130, 95% CI = (1.41–6.97)], anxiety-related symptoms [aOR = 2.531, 95%CI = (1.154–5.551)], and OCD-related symptoms [aOR = 2.90, 95%CI = (1.32–6.36)]. Being female was associated with being at higher risk for depressive symptoms [aOR = 1.72, 95% CI = (1.02–2.93)], anxiety-related symptoms [aOR = 1.75, 95% CI = (1.04–2.97)], and OCD-related symptoms [aOR = 1.764, 95%CI = (1.027–3.028)]. Parental practices protective against COVID-19 were associated with children being at higher risk of depressive symptoms [aOR = 1.55, 95% CI = (1.04–2.31)]. Lower school level was associated with children being at higher risk of anxiety-related and OCD-related symptoms. Conclusions As the COVID-19 pandemic continues, schools should prioritize mental health interventions that target younger, female students, and children of families with income loss. Limiting the spread of COVID-19 through school closure may exacerbate negative psychosocial health outcomes in children, thus school administrators should move quickly to target those at greatest risk.

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