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Focused Strategies to Optimize Sleep, Reduce Sedentary Behaviour, and Enhance Incidental Physical ActivityNUS HealthNCT07887269

NUS Health Study: Improving Sleep, Sedentariness and Physical Activity in NUS Staff

A study testing NUS Health Prog in people with Focused Strategies to Optimize Sleep, Reduce Sedentary Behaviour, and Enhance Incidental Physical Activity, run by National University of Singapore at 1 site in Singapore.

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Trial summary

'NUS Health' is a workplace-embedded health program for National University of Singapore (NUS) staff that concurrently targets sleep, sedentary behaviour, and physical activity. The intervention adopts a multilevel socioecological approach, integrating individual, social, environmental, and organisational strategies… Read more about this study

Who is it for?
Ages 21 to 70 yearsHealthy volunteers can take part
What is being tested?
NUS Health Prog
Could I receive a placebo?
No, everyone receives an active treatment
How many people
2,000 participants
Where
1 siteSingapore
Study dates
1 Sep 2026to Sep 2029
Phase
Interventional

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 21 to 70 years
  • All sexes
  • Healthy volunteers accepted
  • Adult, Older adult

Who may be able to join

  • Full time NUS staff
  • Willing to undergo blood draw procedure

Who cannot join

  • Staff who tender their resignation from NUS during the 16-month study period will be discontinued from the study.

Trial locations and contacts

1 site in 1 country. Contact the study team or a site near you to ask about taking part.

Singapore1 site, 1 recruiting
  • National University of Singapore

    Singapore, 117549

    Michael Chee, +65 66015238, michael.chee@nus.edu.sg

    Recruiting

Other trials in Singapore

About this study

'NUS Health' is a workplace-embedded health program for National University of Singapore (NUS) staff that concurrently targets sleep, sedentary behaviour, and physical activity. The intervention adopts a multilevel socioecological approach, integrating individual, social, environmental, and organisational strategies to support sustainable behaviour change.

The study team will evaluate the feasibility, acceptability, and effectiveness of this program in improving sleep and movement behaviours, with anticipated downstream benefits for cardiometabolic health, psychological well-being, and workplace productivity. Findings from this study will inform the development of future institution-wide health initiatives and contribute to the evidence base for integrated workplace interventions targeting multiple lifestyle risk factors simultaneously.

Read the detailed description

'NUS Health' is a workplace-embedded health program for National University of Singapore (NUS) staff that concurrently targets sleep, sedentary behaviour, and physical activity. The intervention adopts a multilevel socioecological approach, integrating individual, social, environmental, and organisational strategies to support sustainable behaviour change.

This program was developed in response to findings from our previous study of NUS staff which revealed high levels of sedentary behaviour (>10 hours/day) and an obesity prevalence of approximately 25%, highlighting a substantial opportunity for workplace-based health promotion. These findings emerged alongside the growing national burden of chronic conditions such as hypertension and type 2 diabetes, which are strongly influenced by modifiable lifestyle behaviours including insufficient sleep, prolonged sedentary behaviour, and inadequate physical activity. Although these behaviours frequently co-occur and interact to influence health outcomes, existing intervention approaches remain largely episodic, clinic-based, and focused on individual risk factors, limiting their scalability, sustainability, and effectiveness in real-world settings. Increasing evidence indicates that interventions addressing behavioural determinants across both individual and organisational levels are more likely to achieve meaningful and sustained improvements in health. Together, these considerations informed the development of a multicomponent, workplace-embedded intervention designed to simultaneously improve sleep, reduce sedentary behaviour, and promote physical activity among NUS staff.

By combining real-time behavioural monitoring, personalised digital feedback, social engagement, and organisational change, the program seeks to establish a scalable and sustainable model for workplace health promotion. Leveraging continuous wearable-derived data, participants will receive personalised behavioural targets and feedback based on their own activity and sleep patterns. These will be complemented by a socially oriented incentive framework and institution-wide health promotion strategies embedded within the workplace environment, enabling healthy behaviours to be supported not only at the individual level but also through organisational culture and practices.

This 16-month study will be divided into three distinct phases: baseline (months 1-4), intervention (months 5-10), and post-intervention (months 11-16). There will be 4 in-person visits in total for each participant: visit 1 (once within months 1-2), visit 2 (once within months 2-4), visit 3 (once within months 9-10) and visit 4 (once within months 15-16).

The study team will evaluate the feasibility, acceptability, and effectiveness of this program in improving sleep and movement behaviours, with anticipated downstream benefits for cardiometabolic health, psychological well-being, and workplace productivity.

Specifically, we will examine how changes in sleep, sedentariness, and physical activity, affect:

Sleep: frequency of short sleep nights, sleep onset time, sleep duration, sleep variability, sleep satisfaction Sendentariness: amount of sedentary time daily and its temporal distribution Physical activity: amount of daily light-intensity physical activity (LPA) and moderate-to-vigorous activity (MVPA) and its temporal distribution Cardiometabolic markers: glucose trends, blood pressure, body roundness index, blood markers of cardiometabolic health (e.g., blood lipids, Hba1c) Bio-aging markers: blood count, liver panel, renal panel, CRP, etc.

Findings from this study will inform the development of future institution-wide health initiatives and contribute to the evidence base for integrated workplace interventions targeting multiple lifestyle risk factors simultaneously.

Being tested
NUS Health Prog
Keywords
Sedentariness, Physical Activity, Sleep, Workplace Intervention
Medical subject headings
Motor Activity

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • NUS Health ProgBehavioural

    For the sleep component, personalised goals will focus on reducing or maintaining a low frequency of short sleep nights and, where appropriate, advancing sleep timing among individuals with delayed sleep schedules. Goals will be tailored to each participant using their biometric data.

    For the sedentariness component, personalised goals will focus on reducing daily sedentary time, with an overall target of approximately 8 hours per day or less.

    For the physical activity component, personalised goals will focus on increasing or maintaining moderate-to-vigorous physical activity (MVPA) levels.

Study groups in NCT07887269
Study groupRoleWhat they receive
InterventionExperimentalThe intervention involves the concurrent implementation of strategies to optimize sleep, reduce sedentary behaviour, and enhance incidental physical activity through an workplace embedded health promotion program. Participants will receive personalised goals and feedback based on their wearable-derived biometric data. An incentive system will be used to encourage engagement with the intervention and study procedures.
Receives: Behavioral: NUS Health Prog

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Sendentariness, via OURA ring

    Amount of sedentary time daily, as measured by the OURA ring's sedentariness metric (energy expenditure of 1.5 metabolic equivalents (METs) or less ).

    Measured: Through study completion, daily, an average of 2 years

  2. Moderate-to-vigorous activity (MVPA), via OURA ring

    Amount of daily moderate-to-vigorous activity (MVPA), as measured by the OURA ring.

    Measured: Through study completion, daily, an average of 2 years

  3. Light-intensity physical activity (LPA), via OURA ring

    Amount of daily light-intensity physical activity (LPA), as measured by the OURA ring.

    Measured: Through study completion, daily, an average of 2 years

  4. Sleep duration, via OURA ring

    Sleep duration as measured by the OURA ring.

    Measured: Through study completion, daily, an average of 2 years

  5. Sleep duration variability

    The dispersion of daily sleep duration values around a participant's personal average.

    Measured: Through study completion, an average of 2 years

  6. Sleep onset time, via OURA ring

    Sleep onset time as measured by the OURA ring.

    Measured: Through study completion, daily, an average of 2 years

  7. Sleep onset variability

    The dispersion of daily sleep onset timing values around a participant's personal average.

    Measured: Through study completion, an average of 2 years

  8. Glucose trends across 2 weeks

    Measured via Continuous Glucose Monitor

    Measured: 2 weeks measurement period at baseline; subsequently at 9 months, and 15 months after baseline measurement

  9. Full blood count

    Measured via venous blood collection

    Measured: At baseline; subsequently 9 months, and 15 months after baseline measurement

  10. Liver panel

    Measured via venous blood collection

    Measured: At baseline; subsequently at 9 months, and 15 months after baseline measurement

  11. Renal panel

    Measured via venous blood collection

    Measured: At baseline; subsequently at 9 months, and 15 months after baseline measurement

  12. Iron studies

    Measured via venous blood collection

    Measured: At baseline; subsequently at 9 months, and 15 months after baseline measurement

  13. Urine panel

    Measured via urine collection

    Measured: At baseline; subsequently at 9 months, and 15 months after baseline measurement

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted21 Oct 2026
  2. Study start1 Sep 2026
  3. Primary completionJan 2029 (estimated)
  4. Study completionSep 2029 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Interventional
Phase
Phase N/A
Primary purpose
Prevention
Allocation
Not applicable
Intervention model
Single group
Model description
The intervention involves the concurrent implementation of strategies to optimize sleep, reduce sedentary behaviour, and enhance incidental physical activity through an workplace embedded health promotion program. Participants will receive personalised goals and feedback based on their wearable-derived biometric data. An incentive system will be used to encourage engagement with the intervention and study procedures.
Masking
None (open label)
Enrolment
2,000 participants (estimated)
IDs, dates and publications
ClinicalTrials.gov ID
NCT07887269
Sponsor's protocol ID
NUS Health
Acronym
NUS Health
Status last verified
Oct 2026
First submitted
7 Oct 2026
Last updated
21 Oct 2026
Results posted
No
Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
No

Publications

  • Pereira MA, Mullane SL, Toledo MJL, Larouche ML, Rydell SA, Vuong B, Feltes LH, Mitchell NR, de Brito JN, Hasanaj K, Carlson NG, Gaesser GA, Crespo NC, Oakes JM, Buman MP. Efficacy of the 'Stand and Move at Work' multicomponent workplace intervention to reduce sedentary time and improve cardiometabolic risk: a group randomized clinical trial. Int J Behav Nutr Phys Act. 2020 Oct 27;17(1):133. doi: 10.1186/s12966-020-01033-3.

    PubMed 33109190

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