Does mindfulness reduce perceived stress in healthcare professionals?

BACKGROUND: Healthcare professionals (HCPs) are exposed to multiple psychosocial risks that may lead to high levels of stress and low levels of life satisfaction and well-being. Mindfulness, defined as the awareness that arises by intentionally paying attention in the present moment and in a non-judgmental way, seems to be a moderator in the causal association between life stressors and well-being. AIMS: The aim of the present study was to test the model of relationships between self-reported mindfulness, perceived stress, well-being index and life satisfaction in a sample of Tunisian HCPs. METHODS: We performed a correlational cross-sectional study on a sample of HCPs at Hedi Chaker University Hospital, Tunisia. We used validated self-reporting instruments: the Mindful Attention Awareness Scale (MAAS), the Perceived Stress Scale (PSS), the World Health Organisation Well-Being Index (WHO-5) and the Satisfaction with Life Scale (SWLS). For data analysis, the SPSS version 23 program was used. RESULTS: Participants (n=297) included staff nurses (49.2%), medical technicians (19.2%) and doctors (31.6%). The overall model revealed that reduced perceived stress (ß=-0.30, P<0.000) and high levels of well-being (ß=0.13, P=0.03) were associated with mindfulness, explaining 14% of the variance. Individually, perceived stress significantly predicted mindfulness explaining 13% of the variance. CONCLUSION: The study explores a variety of elements that can support the development of mindfulness interventions for stress prevention, staff well-being, and improvement of services as a whole.

Workaholism in engineers: Prevalence and associated factors.

INTRODUCTION: Workaholism is an emerging form of behavioural addiction encountered in the workplace. The present study aims to assess the prevalence and the associated factors of this phenomenon in engineers. METHODS: A cross sectional survey was conducted for two months by means of an online questionnaire of engineers practising in Tunisia. The evaluation of workaholism was based on the WART questionnaire (Work Addiction Risk Test). RESULTS: A total of 107 engineers have answered the questionnaire. The mean age of participants was 29.2±4.4 years. Computer engineers represented 32.7% of our sample. Most of engineers worked more than 8hours per day (45.8%) and less than 6 days per week (63.6%). A high risk of workaholism was noted in 42.1% of cases. Statistical analysis showed that workaholism was not associated with socio-demographic characteristics. However, it was associated with smoking cigarettes, psychotropic drug consumption and poly-addiction and inversely associated with the presence of a leisure activity. With regard to occupational factors, workaholism was associated with agronomic engineering, working more than 8hours per day, working the whole week and a job satisfaction score under 5/10. CONCLUSION: Workaholism interested a significant proportion of this sample, and several professional factors could increase the likelihood of adopting this behaviour. The intervention of occupational doctors seems important in order to raise awareness about this form of addiction and to identify its early signs among employees.