For overweight women with prediabetes, eating all meals within an 8-hour window—whether early or late—may lead to better sleep quality, as measured by how long they sleep and how restful it is, even if their weight doesn’t change.
Evidence from Studies
No evidence studies found yet.
What Would Prove This
Per GRADE and EBM methodology, here is what ideal scientific evidence would look like to definitively prove or disprove this claim, ordered from strongest to weakest.
A meta-analysis of RCTs measuring sleep outcomes after eTRE and lTRE would determine whether this effect is consistent across populations.
A systematic review and meta-analysis of RCTs (n≥8) comparing eTRE and lTRE in adults with prediabetes or obesity, using PSQI and actigraphy for ≥14 days per phase, with standardized dietary control and weight maintenance.
An RCT could confirm whether eTRE or lTRE causes measurable improvements in sleep quality in this population.
A double-blind, randomized, crossover RCT with 100+ women aged 35–65 with prediabetes, comparing 8-hour eTRE (8:00–16:00) and lTRE (13:00–21:00) for 12 weeks each, with 4-week washout, using PSQI and actigraphy (14 days per phase) as primary sleep outcomes.
A cohort study could determine whether habitual eTRE or lTRE predicts better sleep quality over time.
A 5-year prospective cohort of 500 women with prediabetes, tracking habitual meal timing via food logs and CGM, measuring annual changes in PSQI and actigraphy-derived sleep efficiency.
A case-control study could compare meal timing patterns in women with chronic insomnia versus good sleepers.
A case-control study comparing 100 women with clinically diagnosed insomnia to 100 matched controls without sleep disorders, analyzing retrospective meal timing patterns via food logs and CGM.
A cross-sectional study could identify associations between meal timing and self-reported sleep quality in a single snapshot.
A cross-sectional survey of 1,000 overweight women with prediabetes, measuring PSQI scores and self-reported eating window, adjusting for BMI, caffeine, and screen time.