Clinical trial

Sleep, Glucose, and Brain Health in Obesity and Overweight Individuals

Opening soon · Not applicable · 0 countries · Registry ID NCT06968728

Opening soonNot applicableObservational

What this study is about

The primary aim of the NNF study is to investigate both cross-sectional and longitudinal associations between sleep patterns-measured over two consecutive weeks at baseline and again one year later-and indicators of glycemic control and brain health in a cohort of middle-aged adults. Through this effort, the investigators hope to identify potential sleep-related biomarkers and behavioral targets for early intervention to support metabolic and cognitive health.

A promising-looking record is not the same as confirmed eligibility. The study team must review the full criteria and current recruitment status.

Basic eligibility

Age40 Years to 65 Years

SexAll

Healthy volunteersNot accepted

ConditionObesity and Overweight, Type 2 Diabetes, Sleep, Brain Health

Full registry criteria

* Be between 40 and 65 years of age * Be classified as having normal weight, overweight, or obesity * Not be pregnant * Not be currently using glucose-lowering medications or undergoing glucose therapy * Not have a diagnosis of type 1 or type 2 diabetes mellitus * Not have kidney disease, thyroid disorders, or inflammatory bowel disease * Not have undergone bariatric surgery * Not actively participating in a weight-loss diet * Not using medications that affect glucose levels or taking sleep-inducing pills * Not working night shifts * Not have traveled across time zones in the past 3 months * Not have any severe chronic medical illnesses or severe psychiatric disorders * Be able and willing to wear all required study monitoring devices * Own a smartphone with Bluetooth capability

Treatments and study arms

The registry does not list a named intervention.

Primary outcomes

Correlation between objective sleep health status and 24-hour glycemic variability4 years

An assessment will be made to determine whether poorer sleep health-measured using wearable-derived metrics such as sleep duration, sleep efficiency, sleep regularity, and the apnea-hypopnea index-is associated with a greater proportion of time spent outside the recommended glucose range of 70 to 180 mg/dL and with increased glucose variability, as indicated by the coefficient of variation. Additionally, we will evaluate which specific sleep metrics, including total sleep duration, sleep efficiency, sleep onset timing, sleep regularity, and the presence of sleep-disordered breathing, show the strongest associations with glycemic outcomes.

Correlation Between Sleep Patterns and Brain Health4 years

Assessment of whether poorer sleep health is associated with elevated concentrations of brain health biomarkers, including tau and neurofilament light chain (NfL), poorer performance on a verbal fluency task, and variations in total and regional gray matter volume.

Study locations

0 locations were listed when this page was built. The first 40 are shown.

No public site location was included in this record. Check the original registry for updates.