Measuring psychosocial factors and predicting work ability among cemetery workers

Permanent unfitness for work and mental disorders: a multicentric cross-sectional study of 2,788 unfit employees

In France, Mental Disorders (MD) are the second most common medical cause of unfitness-for-work notices. The main objective is to describe the MD causing permanent medically unfitness at the workstation. A cross-sectional multicenter survey was conducted among employees followed by 323 physicians from occupational health services of the South of France in 2017. The MD responsible for unfitness for the job were coded according to the ICD-10 nomenclature and their occupational origin was estimated by each physician. On 359,966 employees screened, 2,788 were unfitted. Among the 2,779 unfitness cases which were analysed, 985 were unfitted for MD. The incidence rate of unfitness for MD was 2.78 unfit per 1,000 employees followed. Representing 36.8% (985 cases) of all grounds for unfitness, MD were estimated to be work-related in 614 (63.6%) of cases. The main MD were 449 (45.6%) cases of major depressive episodes, 227 (23.0%) anxiety disorders and 131 (13.3%) recurrent depressive disorders. Their occupational origin was mentioned in 296 (67.3%), 168 (74.7%), 62 (49.6%) cases and the link with a Burnout (BO) in 166 (38.3%), 61 (27.9%) and 41 (34.2%) cases respectively among 364 all pathologies reported to a BO. Unfitness for MD was more common among women (ORa = 1.79 95% CI [1.50-2.13]), working in trade, transport, accommodation and catering (ORa = 1.47 95% CI [1.04-2.09]) and increase with age (ORa = 4.24 95% CI [2.73-6.60] for over 55). Major depressive episodes represent the MD most frequently responsible for unfitness and the most related to occupational origin.

Impact of social desirability bias on the CoPsoQ-ISTAS 21 psychosocial risk assessment questionnaire

BACKGROUND

Self-reported test is one of the main psychosocial risk assessment tools. However, this test it is susceptible to certain sources of error, including social desirability. Since psychosocial risks are emerging, there are not many studies on their assessment.

OBJECTIVE

The aim of this work is to analyze the impact of social desirability on the short version of the CopSoq-ISTAS 21 assessment tool.

METHOD

A total of 563 workers (45.10% women and 54.90% men) participated in this study. The short version of the CoPsoQ-Istas21 questionnaire with four Likert scale questions as markers, which correspond to the Eysenck Personality Lie Scale Questionnaire Revised (EPQ-r), were used. The sample was divided into two halves, and both a confirmatory analysis and an exploratory analysis were carried out to find out the factorial structure of the scale and, with it, apply the bias filtering method.

RESULTS

The results indicate that 10% of the scale is biased due to social desirability, and that there are significant differences between the group with bias clean scores and the group with scores without bias control.

CONCLUSIONS

The effects of social desirability on the scale are verified, so it is concluded that in a psychosocial risk assessment is not enough to apply a self-report test and interpret its results, being necessary to minimize the sources of error.

Secondary traumatic stress and work ability in death care workers: The moderating role of vicarious posttraumatic growth

Death care work consists of dealing with traumatic events frequently, if not daily. This type of exposure is considered characteristic of the profession and can lead to significant negative consequences such as secondary traumatic stress. However, sometimes positive changes can occur as a result of experiencing trauma, which is referred to as vicarious posttraumatic growth. The aim of the present study is to investigate the role of vicarious posttraumatic growth (VPTG) in the relationship between secondary traumatic stress (STS) and work ability (WA) in a sample of 231 death care workers in northern Italy. Regression analysis with interaction was performed using PROCESS. The results showed a negative association between STS and WA and a positive association between VPTG and WA. The interaction between STS and VPTG was also statistically significant. The moderating role of VPTG was partially confirmed by the analysis: at low and moderate VPTG levels, the conditional effect was negative and statistically significant, while at high VPTG, STS exposure had no significant and negative effect on WA, as if VPTG had some kind of protective role against STS. These results provide new insights into the role of VPTG in work environments with daily trauma exposure, such as death care.

Exposure to Death and Bereavement: An Analysis of the Occupational and Psychological Wellbeing of Funeral and Mortuary Operators

Confronting death and suffering represent central work-related contents in the funeral industry occupations. Despite past research evidence on the role of psychosocial risks, a positive side of the relationship with death exposure has also been highlighted. To expand research on these topics, the aim of the present study was to analyze the role of death exposure in affecting funeral and mortuary operators' wellbeing. Analysis of variance was performed on 201 questionnaires to analyze differences between work exposure. Workers always/very often exposed to death through sight or manipulation of bodies showed better psychological and occupational wellbeing compared to those not at all/very rarely committed with these tasks. Those who interacted very frequently with the bereaved showed better psychological and occupational wellbeing, compared to those who were never/very rarely committed with these relational tasks. Insights on the role of death and suffering exposure and information for occupational health practitioners are discussed.

Linking mental health to safety behavior in construction workers: The mediating effect of work ability and sleep quality

BACKGROUND: The severity of occupational accidents and injuries in the construction industry is the greatest across all industries. Few studies have examined the causal relationships among physical and psychological variables affecting the safety behavior of construction workers. OBJECTIVE: This study aimed to investigate the relationships among three factors (metal health, work ability and sleep quality) influencing the safety behavior of construction workers. METHODS: This cross-sectional study was conducted on 204 workers in civil construction projects in Iran. The data were gathered via self-reporting questionnaires. The acquired data were analyzed by the Smart PLS3 software using structural equation modeling with the partial least squares (PLS) regression approach. RESULTS: The R square revealed an acceptable fineness of the structural model. Similarly, as Q square values were higher than 0.15 for all factors, the predictability of the model was approved. The direct effect of mental health on safety behavior was not significant, but work ability and sleep quality had significant direct effects on safety behavior. Moreover, a decrease in mental health significantly reduced construction workers’ sleep quality and work ability. CONCLUSION: The results of this study prove that sleep quality and work ability mediate the relationship between mental health and safety behavior. The deterioration of construction workers’ mental health can increase the risk of unsafe behavior and occupational injuries. Therefore, appropriate measures need to be taken to maintain and improve the mental health of construction workers.

Healthcare Services and Formal Caregiver's Psychosocial Risk Factors: An Observational Study

The prevention and management of chronic disease primarily requires risk reduction measures, through strategic coordination across various government areas. Recognizing that health workers and the public health workforce are integral to building strong and resilient health, the present study analyses the relation between Psychosocial Risk Factors (PRFs, to which formal caregivers are exposed in the healthcare settings), and the work system related elements of the Systems Engineering Initiative for Patient Safety (SEIPS 3.0) framework. An empirical study was carried out, involving 333 formal caregivers of healthcare services. A total of 31 PRFs were assessed (using the COPSOQ III), making it possible to find a relationship between the PRFs analyzed with three elements of the work system, namely Task (5 PRFs), Organizational factors (17 PRFs), and Individual (9 PRFs). The present work contributes not only in terms of outcomes that allow the development of mental illness prevention and mental health promotion actions for healthcare formal caregivers, but also in terms of the relevance that these factors can have on the quality of health services, as well as their users (patients), in line with SEIPS 3.0 model.

The Portuguese Third Version of the Copenhagen Psychosocial Questionnaire: Preliminary Validation Studies of the Middle Version among Municipal and Healthcare Workers

A third version of the Copenhagen Psychosocial Questionnaire (COPSOQ III) was developed internationally aiming to respond to new trends in working conditions, theoretical concepts, and international experience. This article aims to present the preliminary validation studies for the Portuguese middle version of COPSOQ III. This is an exploratory cross-sectional study viewing the cross-cultural adaption of COPSOQ III to Portugal, ensuring the contents and face validity and performing field-testing in order to reduce the number of items and to obtain insight into the data structure, through classic test theory and item response theory approaches. The qualitative study encompassed 29 participants and the quantitative one 659 participants from municipalities and healthcare settings. Content analysis suggested that minor re-wording could improve the face validity of items, while a reduced version, with 85 items, shows psychometric stability, achieving good internal consistency in all subscales. The COPSOQ III Portuguese middle version proved to be a valid preliminary version for future validation studies with various populations, able to be used in correlational studies with other dimensions.

Funeral and Mortuary Operators: The Role of Stigma, Incivility, Work Meaningfulness and Work-Family Relation to Explain Occupational Burnout

The funeral and mortuary sector, including funeral homes, cemeteries and crematoria, is a largely neglected sector in regard to the study of occupational factors that can affect the quality of working life. The present study aimed at overcoming this gap by investigating job demands and resources that may affect burnout levels. Data were collected through a self-report questionnaire involving funeral industry employees (N = 229) from cemetery, morgues, crematoria and funeral agencies in a Northern Italian region. The survey was cross-sectional and non-randomized. Results reveal that among job demands, stigma consciousness, supervisor incivility and work-to-family negative spillover significantly affect levels of burnout, whereas meaningfulness of work and family-to-work positive spillover may represent relevant resources to counter the onset of burnout. The results of this study contribute to new insights into the psychosocial working conditions that affect occupational wellbeing among the funeral industry sector by also giving insight into how to promote resources to prevent burnout.

Putting the world back to work: An expert system using big data and artificial intelligence in combating the spread of COVID-19 and similar contagious diseases

BACKGROUND

To combat COVID-19, curb the pandemic, and manage containment, governments around the world are turning to data collection and population monitoring for analysis and prediction. The massive data generated through the use of big data and artificial intelligence can play an important role in addressing this unprecedented global health and economic crisis.

OBJECTIVES

The objective of this work is to develop an expert system that combines several solutions to combat COVID-19. The main solution is based on a new developed software called General Guide (GG) application. This expert system allows us to explore, monitor, forecast, and optimize the data collected in order to take an efficient decision to ensure the safety of citizens, forecast, and slow down the spread's rate of COVID-19. It will also facilitate countries' interventions and optimize resources. Moreover, other solutions can be integrated into this expert system, such as the automatic vehicle and passenger sanitizing system equipped with a thermal and smart High Definition (HD) cameras and multi-purpose drones which offer many services. All of these solutions will facilitate lifting COVID-19 restrictions and minimize the impact of this pandemic.

METHODS

The methods used in this expert system will assist in designing and analyzing the model based on big data and artificial intelligence (machine learning). This can enhance countries' abilities and tools in monitoring, combating, and predicting the spread of COVID-19.

RESULTS

The results obtained by this prediction process and the use of the above mentioned solutions will help monitor, predict, generate indicators, and make operational decisions to stop the spread of COVID-19.

CONCLUSIONS

This developed expert system can assist in stopping the spread of COVID-19 globally and putting the world back to work.