Interaction of Sleep, Diurnal Eating Pattern, Gut Microbiota, and Obesity

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

133 participants

Study Classification

INTERVENTIONAL

Study Start Date

2021-10-01

Study Completion Date

2024-10-21

Brief Summary

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The goals of the proposed study are 1) to provide scientific basis for the relationship between subjective sleep quality, diurnal eating pattern, gut microbiome, and obesity, 2) to develop and test a pragmatic, cost-effective new tool to advance lifestyle changes using E-health approach, and 3) to compare differences in subjective sleep quality, diurnal eating pattern and gut microbiome at baseline 4) to compare changes induced by the E-health intervention among the three study groups and participants with different work schedules.

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Detailed Description

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The data are fragmented and studies are focusing on interactions of sleep and obesity, eating pattern and obesity, or gut microbiota and obesity, but not the cross-talk of all these factors in the same individual or population. Therefore, we need a multifactorial approach to get a more deep insight on the obesity and weight regulation. Further, novel cost-effective tools to advance lifestyle changes are needed. Emerging evidence suggests that novel countermeasures, such as modulation of the timing of food intake, may be effective strategies in weight control and prevention of obesity. The goals of the proposed study are 1) to provide scientific basis for the relationship between subjective sleep quality, diurnal eating pattern, gut microbiome, and obesity, 2) to develop and test a pragmatic, cost-effective new tool to advance lifestyle changes using E-health approach, and 3) to compare differences in subjective sleep quality, diurnal eating pattern and gut microbiome at baseline 4) to compare changes induced by the E-health intervention among the three study groups and participants with different work schedules.

Conditions

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Obesity Obesity & Overweight

Study Design

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Allocation Method

NON_RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

SUPPORTIVE_CARE

Blinding Strategy

NONE

Study Groups

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Lean-overweight

BMI 18.5 - 30 kg/m2

Group Type ACTIVE_COMPARATOR

Mobile app

Intervention Type OTHER

To compare changes induced by the movile app intervention among the three study groups

Obese

BMI \> 30 kg/m2

Group Type ACTIVE_COMPARATOR

Mobile app

Intervention Type OTHER

To compare changes induced by the movile app intervention among the three study groups

Obese OSA

OSAS patients with BMI \> 30 kg/m2

Group Type ACTIVE_COMPARATOR

Mobile app

Intervention Type OTHER

To compare changes induced by the movile app intervention among the three study groups

Interventions

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Mobile app

To compare changes induced by the movile app intervention among the three study groups

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Community dwelling 18 - 65 year old adults
* BMI 18.5 - 30 kg/m2 (n = 40, M:F = 1:1)
* BMI \> 30 kg/m2 (n = 40, M:F = 1:1)
* OSAS patients with BMI \> 30 kg/m2 using nasal continuous positive airway pressure (CPAP) treatment on an average \> 4 h/d (n = 40, M:F = 1:1).