At-risk and intervention thresholds of occupational stress using a visual analogue scale

Dutheil, Frédéric; Pereira, Bruno; Moustafa, Farès; Naughton, Géraldine; Lesage, François-Xavier; Lambert, Céline

doi:10.1371/journal.pone.0178948

Cited by 51 publications

(54 citation statements)

References 56 publications

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“…Identifying those factors is essential for effective prevention in the workplace and must be based on useful evidence-based information in order to help to define priority actions. At-risk workers should receive follow-ups from occupational physician [ 32 , 33 ], and may benefit from a targeted intervention on the occupational factors that have been identified as generating mental and behavioral disorders [ 34 ].…”

Section: Discussionmentioning

confidence: 99%

Occupational exposure factors for mental and behavioral disorders at work: The FOREC thesaurus

Chamoux¹,

Lambert²,

Vilmant³

et al. 2018

PLoS ONE

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BackgroundMental disorders in the workplace are a major public health problem. Knowledge of the impact of the psychosocial work environment on mental and behavioral disorders can assist occupational physicians in the identification and description of occupational risk situations, and help to define priority actions. However, no classification for occupational exposure factors is currently available. We aimed to build a thesaurus of “Organizational, Relational, Ethical and other Contributing Factors” (FOREC) linked with the onset of mental and behavioral disorders.MethodsThe French Agency for Food, Environmental and Occupational Health and Safety (ANSES) initiated and supervised a multidisciplinary working group consisting of the representatives of the main French occupational and public health actors. All decisions were accepted on a consensus basis. This collaborative work led to the classification of occupational exposure factors for mental and behavioral disorders in the workplace. To test this thesaurus in clinical practice, a French multicenter study was implemented. Patients were workers referred to the Occupational Disease Centers for mental health issues at work. Factors contributing to mental and behavioral disorders among workers were identified and coded retrospectively from the worker’s point of view using the FOREC thesaurus.ResultsWe recruited 323 workers, aged 44.9±9.2 years, of which 31.3% were men. The most commonly encountered disorders were generalized anxiety disorders (106 workers, 32.8%) and moderate depressive episodes (86 workers, 26.7%). We identified 1357 factors, i.e. an average of 4.2 factors per worker. Among them, 575 (42.4%) were relational and 515 (37.9%) were organizational. All factors identified during consultations were described in the thesaurus.ConclusionsWe built the first thesaurus of “Organizational, Relational, Ethical and other Contributing Factors” (FOREC) that may help to generate profiles of mental and behavioral disorders at work. Encoding and describing these exposure factors, as well as using a worldwide standardized and shared terminology, will help to identify specific workplace prevention programs.

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Section: Discussionmentioning

confidence: 99%

Occupational exposure factors for mental and behavioral disorders at work: The FOREC thesaurus

Chamoux¹,

Lambert²,

Vilmant³

et al. 2018

PLoS ONE

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“…The Socio-demographic characteristics questionnaire assessed age, gender, weight, size, occupational group, education level, family situation, work characteristics, physical activity, and quantity of sleep. Sleep quality, well-being and perceived stress at work and at home are evaluated using visual analogue scales (VAS), i.e., by moving a cursor on a horizontal, non-calibrated line of 10 cm, ranging from very low (0) on the left to very high (10) on the right [ 44 , 45 , 46 , 47 , 48 , 49 ]. We also looked for the presence of other addictions such as tobacco, cannabis, and alcohol.…”

Section: Methodsmentioning

confidence: 99%

Exploring the Link between Work Addiction Risk and Health-Related Outcomes Using Job-Demand-Control Model

Dutheil

Charkhabi

Ravoux

et al. 2020

IJERPH

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Purpose of the study: Work addiction risk is a growing public health concern with potential deleterious health-related outcomes. Perception of work (job demands and job control) may play a major role in provoking the risk of work addiction in employees. We aimed to explore the link between work addiction risk and health-related outcomes using the framework of job-demand-control model. Methods: Data were collected from 187 out of 1580 (11.8%) French workers who agreed to participate in a cross-sectional study using the WittyFit software online platform. The self-administered questionnaires were the Job Content Questionnaire by Karasek, the Work Addiction Risk Test, the Hospital Anxiety and Depression scale and socio-demographics. Data Analysis: Statistical analyses were performed using the Stata software (version 13). Results: There were five times more workers with a high risk of work addiction among those with strong job demands than in those with low job demands (29.8% vs. 6.8%, p = 0.002). Addiction to work was not linked to job control (p = 0.77), nor with social support (p = 0.22). We demonstrated a high risk of work addiction in 2.6% of low-strain workers, in 15.0% of passive workers, in 28.9% of active workers, and in 33.3% of high-strain workers (p = 0.010). There were twice as many workers with a HAD-Depression score ≥11 compared with workers at low risk (41.5% vs. 17.7%, p = 0.009). Sleep quality was lower in workers with a high risk of work addiction compared with workers with a low risk of work addiction (44.0 ± 27.3 vs. 64.4 ± 26.8, p < 0.001). Workers with a high risk of work addiction exhibited greater stress at work (68.4 ± 23.2 vs. 47.5 ± 25.1) and lower well-being (69.7 ± 18.3 vs. 49.3 ± 23.0) compared with workers at low risk (p < 0.001). Conclusions: High job demands are strongly associated with the risk of work addiction. Work addiction risk is associated with greater depression and poor quality of sleep. Preventive strategies should benefit from identifying more vulnerable workers to work addiction risk.

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“…The questionnaire consists of nine sections requiring the participants in most sections to complete a Visual Analogue Scale (VAS) with an intensity scale ranging from 0–100. Different versions of the VAS have been reported by Dutheil and colleagues [ 36 , 37 , 38 ]. The nine sections from the COVISTRESS questionnaire cover information relating to epidemiological context, participant’s COVID-19 knowledge, measure of stress and worries, participant’s occupation, VAS and professions, parenthood and family, sociodemographic details, isolation and impact of coronavirus; and participant’s health coverage.…”

Section: Introductionmentioning

confidence: 99%

An Assessment of the Novel COVISTRESS Questionnaire: COVID-19 Impact on Physical Activity, Sedentary Action and Psychological Emotion

Ugbolue

Duclos

Urzeala

et al. 2020

JCM

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Globally the COVID-19 pandemic outbreak has triggered an economic downturn and a rise in unemployment. As a result, global communities have had to face physical, health, psychological and socio-economical related stressors. The purpose of this study was to assess and report the impact of isolation and effect of coronavirus on selected psychological correlates associated with emotions. Following ethical approval, a mixed methods observational study was conducted using the validated COVISTRESS questionnaire. Two observational study scenarios were evaluated namely “Prior” to the COVID-19 outbreak and “Currently”, i.e., during the COVID-19 pandemic. 10,121 participants from 67 countries completed the COVISTRESS questionnaire. From the questionnaire responses only questions that covered the participant’s occupation; sociodemographic details, isolation and impact of coronavirus were selected. Further analyses were performed on output measures that included leisure time, physical activity, sedentary time and emotions. All output measures were evaluated using the Visual Analogue Scale (VAS) with an intensity ranging from 0–100. Descriptive statistics, Wilcoxon signed-rank test and Spearman correlational analysis were applied to the leisure time, physical activity, sedentary time and emotional feeling datasets; p = 0.05 was set as the significance level. Both males and females displayed similar output measures. The Wilcoxon signed rank test showed significant differences with respect to “Prior” COVID-19 and “Currently” for sedentary activity (Z = −40.462, p < 0.001), physical activity (Z = −30.751, p < 0.001) and all other emotional feeling output measures. A moderate correlation between “Prior” COVID-19 and “Currently” was observed among the Males (r = 0.720) in comparison to the Females (r = 0.639) for sedentary activity while weaker correlations (r < 0.253) were observed for physical activity and emotional feeling measurements, respectively. Our study reported incremental differences in the physical and psychological output measures reported, i.e., “Prior” COVID-19 and “Currently”. “Prior” COVID-19 and “Currently” participants increased their sedentary habits by 2.98%, and the level of physical activity reduced by 2.42%, depression levels increased by 21.62%, anxiety levels increased by 16.71%, and stress levels increased by 21.8%. There were no correlations (r) between leisure, physical activity and sedentary action (i.e., “Prior” = −0.071; “Currently” = −0.097); no correlations (r) between leisure physical activity and emotion (i.e., −0.071 > r > 0.081) for “Prior”; and poor correlations (r) between leisure, physical activity and sedentary action (i.e., −0.078 > r > 0.167) for “Current”. The correlations (r) between sedentary action and emotion for “Prior” and “Currently” were (−0.100 > r > 0.075) and (−0.040 > r > 0.041) respectively. The findings presented here indicate that the COVISTRESS project has created awareness in relation to the physical and psychological impact resulting from the COVID-19 pandemic. The findings have also highlighted individual distress caused by COVID-19 and associated health consequences for the global community.

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At-risk and intervention thresholds of occupational stress using a visual analogue scale

Cited by 51 publications

References 56 publications

Occupational exposure factors for mental and behavioral disorders at work: The FOREC thesaurus

Occupational exposure factors for mental and behavioral disorders at work: The FOREC thesaurus

Exploring the Link between Work Addiction Risk and Health-Related Outcomes Using Job-Demand-Control Model

An Assessment of the Novel COVISTRESS Questionnaire: COVID-19 Impact on Physical Activity, Sedentary Action and Psychological Emotion

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