An interventional study of NUS Health Prog in Focused Strategies to Optimize Sleep, Reduce Sedentary Behaviour, and Enhance Incidental Physical Activity, sponsored by National University of Singapore. Recruiting at 1 site in Singapore. Open to participants aged 21 Years to 70 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-10-21.
Sponsored by National University of Singapore · Not applicable, Interventional, and Prevention
'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.
'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.
2,646 studies on the registry are indexed under Motor Activity; 1,205 are open to participants now.
This study's planned enrollment of 2,000 is above the median of 60 across 2,309 interventional studies indexed under Motor Activity.
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Exclusion Criteria:
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.
Behavioral: NUS Health Prog
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.
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 ).
Time frame: Through study completion, daily, an average of 2 years
Moderate-to-vigorous activity (MVPA), via OURA ring
Amount of daily moderate-to-vigorous activity (MVPA), as measured by the OURA ring.
Time frame: Through study completion, daily, an average of 2 years
Light-intensity physical activity (LPA), via OURA ring
Amount of daily light-intensity physical activity (LPA), as measured by the OURA ring.
Time frame: Through study completion, daily, an average of 2 years
Sleep duration, via OURA ring
Sleep duration as measured by the OURA ring.
Time frame: Through study completion, daily, an average of 2 years
Sleep duration variability
The dispersion of daily sleep duration values around a participant's personal average.
Time frame: Through study completion, an average of 2 years
Sleep onset time, via OURA ring
Sleep onset time as measured by the OURA ring.
Time frame: Through study completion, daily, an average of 2 years
Sleep onset variability
The dispersion of daily sleep onset timing values around a participant's personal average.
Time frame: Through study completion, an average of 2 years
Glucose trends across 2 weeks
Measured via Continuous Glucose Monitor
Time frame: 2 weeks measurement period at baseline; subsequently at 9 months, and 15 months after baseline measurement
Full blood count
Measured via venous blood collection
Time frame: At baseline; subsequently 9 months, and 15 months after baseline measurement
Liver panel
Measured via venous blood collection
Time frame: At baseline; subsequently at 9 months, and 15 months after baseline measurement
Renal panel
Measured via venous blood collection
Time frame: At baseline; subsequently at 9 months, and 15 months after baseline measurement
Iron studies
Measured via venous blood collection
Time frame: At baseline; subsequently at 9 months, and 15 months after baseline measurement
Urine panel
Measured via urine collection
Time frame: At baseline; subsequently at 9 months, and 15 months after baseline measurement
Plan to share: No
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