Sleep Health, Workplace Stress and Wellbeing in NUS Staff: the NUS1000 Staff Edition Study
Sleep Health, Workplace Stress and Wellbeing in NUS Staff: the NUS1000 Staff Edition Study
Workplace stress can significantly affect workers sleep, physical health and mental wellbeing. Recognizing and characterizing obstacles to healthy sleep patterns in office workers can help identify targets for corporate interventions that improve productivity and workplace wellbeing. Following the investigator's experience with the NUS1000 study in 1st year students conducted in Aug-Dec 2023, the investigators will now track daily sleep, wellbeing and time-use in NUS staff for 1 year in the present study. These data will reveal work-related stressors that impact daily sleep and mood. In addition, the investigators will investigate whether daily sleep and stress are associated with cardiovascular health in this middle-age cohort.
The investigators aim to answer the following questions using a combination of objective sleep tracking (Oura ring), smartphone-based questionnaires (EMA), passive tracking of interactions on smartphones (Quantactions) and one-time arterial stiffness measures (SphygmoCor).
The investigators hypothesize that acute stressors, such as receiving emails after office hours and during vacation periods, will negatively impact sleep duration and regularity, as well as subjective stress rating over a short period. Chronic stressors, such as family care burden and pressure from supervisor, will be associated with longer-term insufficient and irregular sleep. Staff members reporting high chronic stress and frequent acute stress may be more likely to have high cardiovascular and cerebrovascular risks. In general, irregular/short sleep, constant high subjective stress, and frequent routine disruption (i.e., after hours work) will be associated with high cardiovascular risk in middle-aged participants.
Inclusion Criteria:
Exclusion Criteria:
Participants will be required to :
Participants who do not agree to have these measures recorded will not be eligible for the study. Shift workers (e.g., security personnel, doctors and nurses), nursing/pregnant woman, and patients with existing sleep/psychological disorders (e.g., insomnia and major depression) will also be excluded.
mdcojul@nus.edu.sg65166666 ext. +65
shuo.qin@nus.edu.sg65166666 ext. +65