WittyFit—Live Your Work Differently: Study Protocol for a Workplace-Delivered Health Promotion

Dutheil, Frédéric; Duclos, Martine; Naughton, Géraldine; Dewavrin, Samuel; Cornet, T.; Huguet, Pascal; Chatard, Jean‐Claude; Pereira, Bruno

doi:10.2196/resprot.6267

Cited by 26 publications

(24 citation statements)

References 98 publications

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“…Thus, further cohort studies [ 49 ] are needed to investigate the relationships between deleterious events and at-risk and intervention thresholds. Additional VAS detected stress measures could further explore relationships between stress and absenteeism and or, work productivity as previously suggested [ 3 , 17 , 36 , 50 ].…”

Section: Discussionmentioning

confidence: 93%

“…The visual analogue scale (VAS) was originally developed to assess the perception of pain [ 12 ]. It has also been used to assess a variety of subjective feelings [ 13 , 14 , 15 , 16 , 17 , 18 ], including stress [ 13 , 14 , 17 , 18 , 19 ]. The use of VAS is attractive because it is simple to implement, easy to understand by the patient, and time-efficient in execution.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2017

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BackgroundThe visual analogue scale (VAS) is widely used in clinical practice by occupational physicians to assess perceived stress in workers. However, a single cut-off (black-or-white decision) inadequately discriminates between workers with and without stress. We explored an innovative statistical approach to distinguish an at-risk population among stressed workers, and to establish a threshold over which an action is urgently required, via the use of two cut-offs.MethodsParticipants were recruited during annual work medical examinations by a random sample of workers from five occupational health centres. We previously proposed a single cut-off of VAS stress in comparison with the Perceived Stress Scale (PSS14). Similar methodology was used in the current study, along with a gray zone approach. The lower limit of the gray zone supports sensitivity (“at-risk” threshold; interpreted as requiring closer surveillance) and the upper limit supports specificity (i.e. “intervention” threshold–emergency action required).ResultsWe included 500 workers (49.6% males), aged 40±11 years, with a PSS14 score of 3.8±1.4 and a VAS score of 4.0±2.4. Using a receiver operating characteristic curve and the PSS cut-off score of 7.2, the optimal VAS threshold was 6.8 (sensitivity = 0.89, specificity = 0.87). The lower and upper thresholds of the gray zone were 5 and 8.2, respectively.ConclusionsWe identified two clinically relevant cut-offs on the VAS of stress: a first cut-off of 5.0 for an at-risk population, and a second cut-off of 8.2 over which an action is urgently required. Future investigations into the relationships between this upper threshold and deleterious events are required.

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Section: Discussionmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

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

et al. 2017

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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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“…This epidemiological study used a cross-sectional observational and descriptive research design. Participants were recruited through workers using the WittyFit online platform ( ) implemented in several French companies [ 40 , 41 ]. WittyFit is a web platform that aims to improve well-being at work.…”

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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WittyFit—Live Your Work Differently: Study Protocol for a Workplace-Delivered Health Promotion

Cited by 26 publications

References 98 publications

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

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

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

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