Optimization of Chrononutrition to Reduce the Risk of Disease in Shift Workers
Eligible age
18–70 yrs
Accepts
All genders
Locations
1 state
Healthy volunteers
No
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About this study
In this randomized controlled trial, the investigators will assess the health impacts of optimizing the timing of dietary consumption in nurses and nursing assistants who work night shifts, have a habitual eating window of 14 hours or more, and elevated weight. Participants will be randomized to one of three groups: (1) dietary monitoring, (2) dietary monitoring plus 10-hour daytime time-restricted eating (TRE), or (3) TRE with a low-glycemic snack during night shifts. The study includes a 2-week screening/baseline health assessment, with follow-up health assessments at 3-, 6- (primary outcome), and 12 months.
Sponsor: Salk Institute for Biological Studies
You may qualify if…
- ✓ Age: 18-70 years
- ✓ BMI ≥ 25 kg/m2 (or ≥ 23 kg/m2 for Asian adults)
- ✓ Own a smartphone (Apple iOS or Android OS)
- ✓ Baseline eating window ≥ 14 h/day
- ✓ Night shift nurses and nursing assistants who are working a 12-hour night shift at least 3 days/week.
- ✓ Have been doing night shift work for at least 3 months.
- ✓ Patients on cardiovascular medications (HMG CoA reductase inhibitors (statins), metformin, lipid-modifying drugs (including over-the-counter drugs such as red yeast rice and fish oil), anti-hypertensive, drugs), are allowed
- ✓ If patients have Type 2 Diabetes, they will be included in the study if A1c is less than 9 and they are not on insulin.
You may not qualify if…
- ✕ Insufficient dietary logging on the mCC app is defined as less than 7 of 14 days of baseline of dietary logging with a minimum of 2 items a day, at least 5 hours apart.
- ✕ Type 1 Diabetes or Insulin-dependent Type 2 Diabetes.
- ✕ Use of sulfonylurea or insulin within the last 3 months (due to unknown safety with TRE)
- ✕ Use of medications that are known to cause weight loss such as SGLT2 inhibitors and GLP1 receptor agonists)
- ✕ BMI \> 50 kg/m2
- ✕ Change in medications that could impact study outcomes within the past 3 months
- ✕ Change in weight of \>4kg in the past 3 months
- ✕ Women who are pregnant, breastfeeding, or are trying to become pregnant during the study period. If a participant becomes pregnant during the study, they will be excluded from continuing the study.
Where it's recruiting
La Jolla
Source: ClinicalTrials.gov · NCT06891352 · last updated 2025-12-17