[Elaboration and psychometric properties of a well-being scale at work. The Serenat study among employees in occupational medicine unit]

Abstract

Background: Well-being at work is nowadays a major public health challenge. It includes, among others, absence of psychological (anxio-depressive) symptoms, perceived positive work conditions (environment and organization), happiness and good quality of life at work. Many studies have shown that social support and control at work protect mental health while high job demands and effort-reward imbalance are risk factors for anxiety and depression. There is currently no global indicator to measure both the state of mental health and social working conditions. The main objective of this work is to construct and explore the psychometric properties of scale of well-being at work called "Serenat" in order to validate it.

Methods: The Serenat Scale is a self-report questionnaire composed of 20 items. All items are scored on a four-point Likert scale ranging from 0 (strongly disagree) to 3 (strongly agree) resulting in a range of 0 to 60. It was constructed from data collected from the literature and from consultations in an Occupational Health Unit. From January 2014 to May 2017 193 subjects who have consulted an occupational doctor are included in this cross sectional survey. Validation included item quality and data structure diagnosis, internal consistency, intraobserver reliability evaluation and external consistency.

Results: The Serenat scale showed very good item quality, with a maximal non-response rate of 0.01 % per item, and no floor effect. Factor analysis concluded that the scale can be considered unidimensional. Cronbach's alpha of internal consistency was 0.89. The intraclass correlation coefficient for intraobserver reliability was 0.89. Serenat scale was correlated with HADS (r=-0.54; P<0.001), STAI-Y (r=-0.78; P<0.001) and BDI-13 (r=-0.57; P<0.001).

Conclusion: Serenat's well-being at work scale shows good psychometric properties for final validation. It could be useful to occupational physicians for individual and collective screening.

Trial registration: ClinicalTrials.gov ID: NCT02905071.

Keywords: Anxiety; Anxiété; Bonheur; Depression; Dépression; Happiness; Mental health; Occupational stress; Psychometrics; Psychométrie; Questionnaire; Santé mentale; Stress professionnel.