Healthy, PreDiabetes, Type 2 Diabetes
Conditions
Brief summary
The purpose of our study is to understand the impact of different meal timing alterations on blood sugars, metabolism, microbiome and sleep physiology in people with prediabetes and diabetes; and to study the temperature/heart rate response to different meals in different people.
Detailed description
Pilot data points to an effect of the time between waking up and first meal is important in blood glucose management through the rest of the day. The investigators are interested in understanding the effect of caloric distribution through the day, specifically consuming more later in the day versus earlier in the day. The investigators want to test the hypothesis that consolidating the meals during a shorter span in the day (time restricted eating) can ameliorate blood sugars and sleep parameters in the studied population. The researchers would also like to compare dynamic range of meal-induced sympathetic responses (e.g. temperature and heart rate changes) between different metabolic health conditions (e.g. insulin sensitive vs insulin resistant vs diabetes) while controlling for dietary intake. Previous research studies suggest that people with different metabolic health conditions would have different meal-induced sympathetic responses. Based on this, the primary goal of the study is to characterize metabolic health based on non-invasive wearable sensor data that measure these responses.
Interventions
BEHAVIORALTime Restrictive Eating- late
Eating window will be 10 hours or less, starting 3 hours after waking up. Same monitoring as Baseline phase.
BEHAVIORALTime Restrictive Eating- early
Eating window will be 10 hours or less, starting 30 min after waking up. Same monitoring as Baseline phase.
BEHAVIORALTime Restrictive Eating- early with early caloric intake
Same as TRE-early, but concentrating caloric intake early in the eating window Same monitoring as Baseline phase.
OTHERMacronutrient-controlled meals
Meals with a determined amount of protein, carbohydrates, and fat.
Sponsors
Stanford University
Study design
Allocation
NA
Intervention model
SEQUENTIAL
Primary purpose
BASIC_SCIENCE
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Be 18 years of age or older; * Not be pregnant, if female; * Be generally healthy (with no apparent symptoms at the time of enrollment) * Patients with prediabetes or diet- controlled or type 2 diabetes or controlled with metformin, will also be allowed to participate. * Be willing to provide written informed consent for all study procedures.
Exclusion criteria
* major organ disease * pregnant/lactating * diabetes medications except for metformin * malabsorptive disorders like celiac sprue * heavy alcohol use * use of weight loss medications or specific diets * weight change \>2 Kg in the last month * history of bariatric surgery * Any medical condition that physicians believe would interfere with study participation or evaluation of results * Mental incapacity and/or cognitive impairment on the part of the patient that would preclude adequate understanding of, or cooperation with, the study protocol.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Change in glycemic control as measured by change in blood sugar values. | 5 months | Change in glycemic control measured from baseline through all phases of study. Glycemic control is derived from continuous glucose monitor (CGM) data and expressed in milligrams/deciliter |
| Core body temperature response to meal consumption | Analysis of response to all standard meals will take 9 days | Analysis of core body temperature response as measured by change from overnight fasting condition to the peak value within 4 hrs following the standardized meal consumption. Core body temperature response is derived from CTM data and expressed in Celsius. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Change in sleep quality measured as duration of sleep stages | 5 months | Duration of each sleep stage (i.e. light, deep, REM, wake stages) overnight. Sleep quality will be measured via a headband wearable device. Sleep quality will be compared to baseline through the other intervention phases. |
| Change in sleep quality measured as frequency of sleep stages | 5 months | Frequency of each sleep stage (i.e. light, deep, REM, wake stages) overnight. Sleep quality will be measured via a headband wearable device. Sleep quality will be compared to baseline through the other intervention phases. |
| Change in wake duration during sleep | 5 months | Measurement of Wake After Sleep Onset (WASO) in minutes. Measured via a headband wearable device. WASO will be compared to baseline through the other intervention phases. |
| Sleep efficiency | 5 months | Sleep efficiency will be calculated by the following formula: 100-((WASO/total sleep duration)x100). Changes will be compared from baseline to the rest of the intervention phases. |
| Sleep latency | 5 months | Sleep latency is the duration in minutes from being awake to falling asleep. Changes in sleep latency will be compared from baseline to the rest of the intervention phases. |
| Heart rate response to meal consumption | Analysis of response to all standard meals will take 9 days | Heart rate response to meal consumption as measured by the change in heart rate from baseline (overnight fasting condition) to the peak value within 4 hrs following the standardized meal consumption. Heart rate response is derived from continuous heart rate monitoring (CHRM) data and expressed in beats per minute (bpm). |
Countries
United States
Contacts
PRINCIPAL_INVESTIGATORMichael Snyder, PhD
Stanford University
STUDY_DIRECTORYue Wu
Stanford University
Outcome results
None listed