Abstract
BACKGROUND: During the first wave of the Covid-19 pandemic in 2020, a total lockdown of universities was implemented by the government in Belgium. University staff was required to work at home. The purpose of the study was to identify factors associated with poor mental health in university staff during mandatory home work. METHODS: Mental well-being of 702 university employees was assessed by need for recovery after work and presence of burnout symptoms. Following factors were considered: personal factors (gender, age), professional status, specific home work environment factors (quiet place to work, taking care of ill or old people, number of children < 12yrs. at home, family member at risk for Covid-19), work-private life balance and worries about long- and short-term work situation. Multivariable logistic regression analyses were used to calculate the odds ratios for the presence a high need for recovery and burnout symptoms. RESULTS: The presence of a high need for recovery and the presence of burnout symptoms were significantly associated with poor work-private life balance (OR 5.14 and 2.80, respectively), no quiet place to work (OR 3.23 and 2.00, respectively) and being worried about long-term work situation (OR's increasing with increasing degree of worries). Being able to discuss the worries with the supervisor was only significant with a decreased risk of burnout symptoms for the lowest level of discussability with the supervisor. Following factors were not associated with both mental health outcomes: professional status, being worried about short-term work situation, taking care of ill or old people, number of children < 12yrs. at home and having a family member at risk for Covid-19. CONCLUSIONS: When working at home special attention should be paid to work-private life balance and the presence of a quiet place to work. Additionally, in the case of mandatory home work in university personnel, specific worries about long-term work situation should be tackled. Universities and/or governments should provide measures to ensure an extension of research deadlines and, if applicable, job security.