Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
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.
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Staff | NUS Staff |
Not provided
| Measure | Description | Time Frame |
|---|---|---|
| Time-use diary | Participants will be asked to fill out a time-use diary over 2-week periods every 3 months throughout the follow-up period (Month 1, Month 3, Month 6, Month 9 and Month 12), indicating the activities they engaged in over the past day on the smartphone app. | Across the 1 year study |
| Blood Pressure | Blood pressure measures will be taken twice via an Omron blood pressure device. | Across the 1 year study |
| Arterial Stiffness | Arterial stiffness will be assessed by SphygmoCor XCEL system (cuff plus tonometer) and pulse wave velocity will be derived. | Across the 1 year study |
| Height | Height will be measured by the device linked to the body composition system (cm). | Across the 1 year study |
| Weight | Weight will be measured by the device linked to the body composition system (in kg). | Across the 1 year study |
| Body composition | Body composition will be assessed by InBody 770 Bioelectrical Impedance Analysis machine. | Across the 1 year study |
| Smartphone Touchscreen Interactions | Smartphone taps (number) will be tracked automatically through an EU-GDPR (the European Union's stringent privacy regulation) compliant smartphone app (QuantActions). This application logs human-smartphone screen interactions (e.g., taps, swipes) during regular use by logging a location-specific timestamp for each screen contact, and the name of the active app at that moment. This gives us a readout of phone use, app use, and an implicit measure of alertness (tapping speed). Only timestamps of touchscreen interactions and the associated apps will be recorded. No text, pictures, contacts, or any person identifying information will be collected. Moreover, data will be gathered and stored on the cloud using codes only; names or emails will not be collected. |
Not provided
Not provided
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.
Not provided
Not provided
1000 National University of Singapore staff
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Ju Lynn Ong, PhD | Contact | 65166666 | +65 | mdcojul@nus.edu.sg |
| Qin Shuo, PhD | Contact | 65166666 | +65 | shuo.qin@nus.edu.sg |
Not provided
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Yong Loo Lin School of Medicine | Singapore | Singapore | 117549 | Singapore |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Across the 1 year study |
| Sleep time | The Oura ring is a device worn on the finger which non-invasively records movement, heart rate and temperature to infer sleep and physical activity. Sleep Onset Time, Wake Time, on Workday (weekday) and Free Day (Weekend / vacation) will be recorded for nocturnal sleep and naps. | Across the 1 year study |
| Sleep duration | The Oura ring is a device worn on the finger which non-invasively records movement, heart rate and temperature to infer sleep and physical activity. Sleep Duration on Workday (weekday) and Free Day (Weekend / vacation) will be recorded for nocturnal sleep and naps. | Across the 1 year study |
| Wake after sleep onset | The Oura ring is a device worn on the finger which non-invasively records movement, heart rate and temperature to infer sleep and physical activity. Wake after Sleep Onset on Workday (weekday) and Free Day (Weekend / vacation) will be recorded. | Across the 1 year study |
| Sleep regularity | The Oura ring is a device worn on the finger which non-invasively records movement, heart rate and temperature to infer sleep and physical activity. Sleep Regularity (computed via Std Deviation and Sleep Regularity Index; evaluated over 4 weeks minimally) will be recorded. | Across the 1 year study |
| Well-being | Participants input ratings about a rotating set of questions concerning wellbeing daily through a smartphone based app (Z4IP) that has been used in prior studies. This daily assessment can be done anytime between 8pm and 12am each day. Higher scores represent higher levels of well-being. | Across the 1 year study |
| Self-reported health | Participants will also be required to complete a subset of health questionnaires every 3 months throughout the follow-up period (Month 1, Month 3,Month 6, Month 9 and Month 12) on the Qualtrics survey platform. | Across the 1 year study |