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The study was stopped due to insufficient dietary differences, loss of support for the sleep device after acquisition, and high variability in temperature data, all these prevented meaningful evaluation of study aims.
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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.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Intervention | Experimental | Participants will undergo a baseline phase for 20 days, where they will follow their regular dietary intake, physical activity, and sleep. They will be wearing a CGM and an activity monitor and for a couple of nights, they will use a sleep monitor. That will be followed by 4 interventional phases where they will be asked to limit their daily eating to 10 hours or less (Time Restricted Eating, TRE), with the eating window and the caloric distribution will be shifted during each of the next 3 phases, each phase lasting 20 days. The last phase will last 8 days and participants will be asked to consume provided meals with a determined amount of protein, carbohydrates, and fat. Their body temperature will be measured using a continuous temperature device and a heart rate monitor to capture dynamic rage of the sympathetic response during and after the meal consumption (thermotyping). |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Time Restrictive Eating- late | Behavioral | Eating window will be 10 hours or less, starting 3 hours after waking up. Same monitoring as Baseline phase. |
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| Measure | Description | Time Frame |
|---|---|---|
| Change in glycemic control as measured by change in blood sugar values. | 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 | 5 months |
| Core body temperature response to meal consumption | 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. | Analysis of response to all standard meals will take 9 days |
| Measure | Description | Time Frame |
|---|---|---|
| Change in sleep quality measured as duration of sleep stages | 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. | 5 months |
| Change in sleep quality measured as frequency of sleep stages |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Michael Snyder, PhD | Stanford University | Principal Investigator |
| Yue Wu | Stanford University | Study Director |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Stanford University | Stanford | California | 94304 | United States |
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| Time Restrictive Eating- early | Behavioral | Eating window will be 10 hours or less, starting 30 min after waking up. Same monitoring as Baseline phase. |
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| Time Restrictive Eating- early with early caloric intake | Behavioral | Same as TRE-early, but concentrating caloric intake early in the eating window Same monitoring as Baseline phase. |
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| Macronutrient-controlled meals | Other | Meals with a determined amount of protein, carbohydrates, and fat. |
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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. |
| 5 months |
| Change in wake duration during sleep | 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. | 5 months |
| Sleep efficiency | 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. | 5 months |
| Sleep latency | 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. | 5 months |
| Heart rate response to meal consumption | 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). | Analysis of response to all standard meals will take 9 days |
| ID | Term |
|---|---|
| D011236 | Prediabetic State |
| D003924 | Diabetes Mellitus, Type 2 |
| ID | Term |
|---|---|
| D003920 | Diabetes Mellitus |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D004700 | Endocrine System Diseases |
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