Sleep Health, Workplace Stress and Wellbeing in NUS Staff: the NUS1000 Staff Edition Study

NCT06594549 | Not Yet Recruiting

• 1 other identifier: NUS1000 staff edition
• Study Type: observational
• Target: 1,000
• Locations: 1 country
• Sites: 1

Brief Summary

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.

Conditions

Life Experiences

Keywords

Employee; Sleep; Wellbeing; Stress; Cardiovascular; Workplace

Outcome Measures

Primary Outcomes (13)

• 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.

  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

Study Arms (1)

Staff

NUS Staff

Eligibility Criteria

• Age: 35 Years - 70 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

1000 National University of Singapore staff

You may qualify if:

• NUS staff between the age of 35-70 with smartphones operating on Android 8.0 and up, or iOS 14.0 or later

You may not qualify if:

• Participants will be required to :
• Have their sleep and physical activity rhythms recorded via wearable sensors, while they continue daily life as usual.
• Complete periodic questionnaires and short daily surveys on their smartphones.
• Agree to interactions with their smartphones and NUS e-services (e.g., email) tracked.
• 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.

Sponsors & Collaborators

• National University of Singapore: lead

Study Sites (1)

Yong Loo Lin School of Medicine

Singapore, Singapore, 117549, Singapore

Location

Central Study Contacts

Ju Lynn Ong, PhD

CONTACT

65166666; mdcojul@nus.edu.sg

Qin Shuo, PhD

CONTACT

65166666; shuo.qin@nus.edu.sg

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Professor

Study Record Dates

• First Submitted: September 3, 2024
• First Posted: September 19, 2024
• Study Start: November 1, 2024
• Primary Completion: November 1, 2025
• Study Completion: November 1, 2025
• Last Updated: September 19, 2024

Record last verified: 2024-09

Data Sharing

• IPD Sharing: Will not share

Locations

SG (1)