Diet, Physical Activity, and Sleep Habits (DPAS)

August 16, 2021 updated by: Hollie Raynor, The University of Tennessee, Knoxville
This study aims to observe if consistency in a young adult's schedule is related to health factors and outcomes, such as diet quality, amount of physical activity and sleep, and weight.

Study Overview

Status

Completed

Conditions

Detailed Description

During young adulthood, patterns regarding physical activity,1,2 dietary intake,3 and weight status4 are established that track into later life and can impact health. Social and physical cues also impact patterns-particularly those cues that may influence biological and behavioral rhythms which can influence the Circadian Timing System (CTS).5 Chronotype, the timing of sleep patterns, is closely tied to the CTS as it reflects sleep in relation to the light and dark cycle, with morning-type (MT) having a pattern that should assist with better entrainment (sleep better entrained to the physical cues of light/dark).6 Research has found that chronotype is related to several areas important to health, including diet,6-11 physical activity,12-14 weight regulation.15-18. As a whole, research in this area suggests that MT individuals are more likely to consume a healthier eating pattern, be more physically active, and more successfully manage their weight. However, the research in this area for young adults is limited.

While there has been research regarding chronotype and diet, activity, and weight management, there is a paucity of research on the relationship between social cues and social rhythms, which also influence the CTS, and health related outcomes. Social rhythms, as measured by the Social Rhythm Metric (SRM), are related to chronotype, such that MT is related to a higher SRM.19-21 Due to the relationship between SRM and chronotype, and chronotype and diet, physical activity, and weight management, it would be anticipated that SRM is also related to these health outcomes. Specifically, it would be anticipated that more consistent social rhythms (higher SRM) would be related to a healthier eating pattern, greater physical activity, and weight management. However, this relationship has never been investigated.

Therefore, to better understand how social rhythms, which are triggered by social cues, are related to health, this investigation will be assessing both chronotype and SRM and collecting measures on diet quality, via food records, physical activity and sleep, via accelerometers, and anthropometrics, via BMI. The population of interest for this study is specifically young adults because young adulthood is a time period when health patterns are established for the rest of life. This study aims to observe if consistency in a young adult's schedule is related to health factors and outcomes, such as diet quality, amount of physical activity and sleep, and weight.

Study Type

Observational

Enrollment (Actual)

63

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • United States
    • Tennessee
      • Knoxville, Tennessee, United States, 37996
        • Healthy Eating and Activity Lab, University of Tennessee

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 35 years (Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Young adult between the ages of 18 and 35 years, taking classes and/or working, able to engage in physical activity, and having no dietary restrictions.

Description

Inclusion Criteria:

  • Between the ages of 18-35 years
  • Able to pass the Physical Activity Readiness Questionnaire for Everyone (PAR-Q+) indicating that they have no health conditions that limit their ability to engage in physical activity
  • Access to an email address and internet each day during their participation
  • An town when all measures are collected
  • Taking classes and/or working a job when all measures are collected

Exclusion Criteria:

  • Pregnant
  • Allergy to stainless steel, making the participant unable to wear Body Media Armband
  • Dietary restrictions of any kind
  • Shift work, here defined as having to work a shift for any period of time between the hours of 12 am and 6 am

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Diet Quality 1
Time Frame: Through study completion, 1 week
Healthy Eating Index Score calculated using a three-day food record
Through study completion, 1 week
Diet Quality 2
Time Frame: Through study completion, 1 week
Total energy intake will be assessed using a three-day food record
Through study completion, 1 week
Physical Activity 1
Time Frame: Through study completion, 1 week
Minutes of moderate to vigorous physical activity will be assessed using SenseWear Armbands
Through study completion, 1 week
Physical Activity 2
Time Frame: Through study completion, 1 week
Energy expenditure from moderate to vigorous physical activity will be assessed using SenseWear Armbands
Through study completion, 1 week
Sleep 1
Time Frame: Through study completion, 1 week
Length of sleep will be assessed using SenseWear Armbands
Through study completion, 1 week
Sleep 2
Time Frame: Through study completion, 1 week
Sleep efficiency will be assessed using SenseWear Armbands
Through study completion, 1 week

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Body Mass Index (BMI)
Time Frame: Baseline appointment
BMI will be calculated using height and weight measurements
Baseline appointment
Body Composition
Time Frame: Baseline appointment
Body fat percentage will be assessed using the Body Composition Analyzer TBF-300 (TANITA Corporation, Tokyo, Japan)
Baseline appointment
Chronotype
Time Frame: Baseline appointment
Chronotype will be assessed using the Composite Score for Morningness
Baseline appointment

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

The University of Tennessee, Knoxville

Investigators

  • Principal Investigator: Hollie Raynor, PhD, University of Tennessee Knoxville

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

July 13, 2019

Primary Completion (Actual)

August 16, 2021

Study Completion (Actual)

August 16, 2021

Study Registration Dates

First Submitted

July 13, 2019

First Submitted That Met QC Criteria

July 24, 2019

First Posted (Actual)

July 29, 2019

Study Record Updates

Last Update Posted (Actual)

August 18, 2021

Last Update Submitted That Met QC Criteria

August 16, 2021

Last Verified

August 1, 2021

More Information

Terms related to this study

Keywords

Other Study ID Numbers

  • UTK IRB-19-05178-XP

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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